Next Article in Journal
Host–Virus Cophylogenetic Trajectories: Investigating Molecular Relationships between Coronaviruses and Bat Hosts
Previous Article in Journal
Quantitative Prediction of Human Immunodeficiency Virus Drug Resistance
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Deisolation in the Healthcare Setting Following Recent COVID-19 Infection

1
Department of Infectious Diseases and Microbiology, Concord Hospital, Concord, NSW 2137, Australia
2
Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia
3
Centre for Infectious Diseases and Microbiology, Westmead Hospital, Westmead, NSW 2145, Australia
4
Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead Hospital, Westmead, NSW 2145, Australia
5
Centre for Infectious Diseases and Microbiology—Public Health, Westmead Hospital, Westmead, NSW 2145, Australia
*
Author to whom correspondence should be addressed.
Viruses 2024, 16(7), 1131; https://doi.org/10.3390/v16071131
Submission received: 22 May 2024 / Revised: 6 July 2024 / Accepted: 12 July 2024 / Published: 15 July 2024
(This article belongs to the Section Human Virology and Viral Diseases)

Abstract

:
Background: Deisolation of persons infected with SARS-CoV-2, the virus that causes COVID-19, presented a substantial challenge for healthcare workers and policy makers, particularly during the early phases of the pandemic. Data to guide deisolation of SARS-CoV-2-infected patients remain limited, and the risk of transmitting and acquiring infection has changed with the evolution of SARS-CoV-2 variants and population immunity from previous vaccination or infection, or both. Aims: This review examines the evidence to guide the deisolation of SARS-CoV-2-infected inpatients within the hospital setting when clinically improving and also of healthcare workers with COVID-19 prior to returning to work. Methods: A review was performed using relevant search terms in Medline, EMBASE, Google Scholar, and PubMed. Results and Discussion: The evidence is reviewed with regards to the nature of SARS-CoV-2 transmission, the role of testing to guide deisolation, and the impact of SARS-CoV-2-specific immunity. A paradigm and recommendations are proposed to guide deisolation for inpatients and return to work for healthcare workers.

1. Introduction

The COVID-19 pandemic has significantly affected the delivery of healthcare services since the first description of a severe respiratory illness emerged in Wuhan, China in late 2019 [1]. Within healthcare facilities, approaches to the respiratory isolation of patients with COVID-19 need to balance the risk of nosocomial transmission against the impacts of isolation on patient care. Isolation measures would often involve a combination of single or cohorted rooms, and the mandate for increased personal protective equipment (PPE) which must be applied prior to entering the patient’s surroundings.
Isolating patients may have downstream effects on direct patient care including provision of timely investigations and procedures, physical assistance and rehabilitation, patient loneliness, and impact on cognition or critical workflow processes such as increased use of personal protective equipment and waste disposal and altered patient flow and discharge processes [2,3]. Qualitative research in the rehabilitation setting has highlighted patient loneliness, limited group rehabilitative therapy (e.g., gymnasium and hydrotherapy), and even difficulties navigating everyday items within the room (e.g., phone, call button and walker) for patients with physical ailments [2]. More broadly, quarantining in the community has been associated with a higher prevalence of low mood and irritability [4], which is likely to be echoed in inpatient isolation.
The isolation of patients with COVID-19 remains one of several important non-pharmaceutical interventions that assists with reducing the transmission of SARS-CoV-2. Together with hand hygiene and mask use, this reduces the reproduction number (R0) by approximately one-third and thus viral transmission [5]. Additional benefits of isolation at the population level were observed in studies from China and New Zealand, demonstrating reduced incidences of other non-SARS-CoV-2 infections, including viral and bacterial respiratory, gastrointestinal, and travel-related infections [6,7,8]. However, there was an observed rise in non-typhoidal salmonellosis and campylobacter-related gastroenteritis cases, which was linked to increased consumption of home-cooked food in one study [8]. These results remain observational, and testing rates may be skewed by changes in health-seeking behaviour compared to pre-pandemic times; however, it is clear that isolation while symptomatic is likely to reduce the spread of infectious diseases.
To balance infection and control measures with the potential costs of isolation, varying deisolation guidelines were published as the pandemic progressed. However, there remains a paucity of clear evidence-based guidance for the deisolation of inpatients within healthcare facilities [9,10]. ‘Deisolation’ encompasses the stepping down from SARS-CoV-2 (irrespective of whether COVID-19 was the primary reason for admission or not)-specific precautions (such as specific PPE and bed allocation) to what would otherwise be required for that patient’s care, i.e., the World Health Organization’s (WHO) ‘Standard Precautions’ for patients not known to be colonised by multi-drug-resistant organisms [11].
The evolution of SARS-CoV-2 variants (including variants of concern [VOCs]), severity of infection in an individual, immunity following vaccination and/or infection, and the use of therapies such as antivirals and monoclonal antibodies may affect the viral kinetics in an infected person and their subsequent risk of transmitting infection [5].
The results of virus culture, nucleic acid amplification tests (NAATs) and rapid antigen tests (RATs) have been used to guide deisolation, despite differences in analytical sensitivity among the three diagnostic methods. Sample type, such as sampling from the lower rather than the upper respiratory tract when pneumonitis is present, may also affect test performance. Further, serial testing, rather than a single test at a specific time point alone, may be more accurate in determining infectivity.
Additional factors including timing since symptom onset, degree of symptom resolution, and underlying immunological status of the affected individual are variably considered within guidelines, and while relevant, contribute to the heterogeneity of the current approaches. In light of these factors, this narrative review provides an overview of viral transmission, testing, immunity, and the current evidence base for deisolation, followed by suggested approaches.

2. Objectives and Methods

This review seeks to summarize the literature and expert statements regarding two questions. Firstly, for hospital inpatients improving recovering from SARS-CoV-2 infection, what is the evidence to guide safe deisolation from COVID-19-specific precautions? Secondly, in healthcare workers recovering from SARS-CoV-2 infection, what is the best approach to safely guide return to work? We reviewed contemporary evidence examining COVID-19 transmission, severity of disease, diagnostic testing, and SARS-CoV-2-specific immunity.
Expert statements from government and international bodies were reviewed between 2020 and 2023, and their reference lists scanned for relevant sources. Medline, PubMed, Google Scholar, and EMBASE were also searched for publications between 2020 and 2023 (including original articles, reviews, and meta-analyses) for “COVID-19”, “SARS-CoV-2”, “testing”, “immunity”, “deisolation”, “inpatient”, “nosocomial transmission”, and related words (as outlined in Figure 1).
Due to the breadth of COVID-19 literature, English-language abstracts were screened by three of the authors independently for relevance and included provided the full-text was available and the discussion was pertinent to inpatient transmission, diagnostics, deisolation, and/or healthcare workers returning to work in patient-facing settings. Articles were excluded on the basis of relevance to the clinical questions above, including editorial letters or reviews with a primary focus on outpatient clinics or wards (e.g., dialysis units, and haematology–oncology outpatients) unless there was no other available evidence from which to extrapolate the data, the latter being highlighted in the text.

3. A Brief Summary of SARS-CoV-2 Transmission

Infectious virions of SARS-CoV-2 are now understood to spread from person to person via several routes, primarily via respiratory (airborne/droplet) transmission, as well as through direct contact with infected surfaces or fomites [12]. In their recent narrative review and meta-analysis, Greenhalgh et al. found that airborne transmission is a significant mode of spread of SARS-CoV-2 to alveolar macrophages, the primary site of infection [12]. The authors highlighted several assumptions that underpin the dichotomy between ‘airborne’ and ‘droplet’, namely an arbitrary particle size (<5 μm being considered ‘airborne’), that airborne transmission would result in a higher R0, and of note, that the absence of evidence in favour of airborne transmission refutes the possibility of the same [12]. The reader is directed to this article for a further in-depth review, but an understanding of SARS-CoV-2 transmission will in turn impact the type of precautions and therefore deisolation strategies required, whether that includes an ongoing need for mask use, hand hygiene, testing methods for deisolation, and timing of deisolation.
The COVID-19 literature additionally suffers from the varied use of terms used to describe modes of respiratory transmission including ‘airborne’, ‘airborne transmission’, and ‘aerosol’. The WHO has recently revised a new descriptor for pathogens transmitted via the respiratory route as “infectious respiratory particles” (IRPs) [13]. SARS-CoV-2-infected patients may generate IRPs that are expired when speaking, singing, breathing, coughing, spitting or other means, which may then travel through the air and be influenced by environmental factors (such as temperature, air currents, humidity, and sunlight) before potentially reaching another individual [13]. This new definition acknowledges that IRPs exist in a wide range of sizes, and moves away from the ‘airborne’ and ‘droplet’ terminology. Respiratory pathogens may be spread via ‘airborne transmission/inhalation’ or ‘direct deposition’ of IRPs following short-range ballistic movement (e.g., sneezing), which contact the recipient’s mucosal membranes or respiratory system. The report acknowledges that further terminological work is required, and further updates to definitions will be important to acknowledge when providing clearance for deisolation after infection from COVID-19 and a range of other respiratory viruses.
On a practical level, deisolating patients following COVID-19 infection has implications for the type of PPE required for patient care. Traditionally, terms such as ‘airborne’ and ‘droplet’ have differentiated infections on the basis of particle size, and this in turn influences the choice of mask required, perhaps simplistically, to exclude the infectious particle in question. As with the confusion generated by the varied use of such terms, the dichotomy between N95/P2 respirators for ‘aerosol’/‘airborne’ pathogens and surgical/medical masks for ‘droplet’ pathogens is arbitrary, and the same is true of the source of controversy between infection prevention and control clinicians [13,14]. Greenhalgh et al. provided a thorough review of different types of masks and advocate for the use of respirators in the care of COVID-19 patients but acknowledge that surgical/medical and cloth masks do provide some benefit compared to no mask use [12]. In a multi-site noninferiority randomised control trial, Loeb et al. examined rates of COVID-19 infections in healthcare workers caring for COVID-19 inpatients; healthcare workers either wore surgical or N95 masks while caring directly for patients, and all wore surgical masks at other times while within the healthcare facility [15]. Similar rates of RT-PCR-confirmed COVID-19 were observed across both groups after a 10-week follow-up (10.46% for medical masks vs. 9.47% for N95 respirators), suggesting that mask use while caring for COVID-19 patients confers a protective benefit. Notable exclusions included intensive care staff and previously vaccinated or infected individuals. There was also no comment as to the severity of the patients’ COVID-19 illness, which is determined by the presence of upper or lower respiratory tract symptoms, lung infiltrates, and hypoxia (Table 1) [16,17]. This may act as a surrogate of infectious viral load and likelihood of transmission, with prolonged shedding of the infectious virus noted in patients with more severe disease in some studies [18,19].

4. Laboratory Testing to Guide Inpatient Deisolation

SARS-CoV-2 was first characterized using metagenomic RNA sequencing of bronchoalveolar lavage fluid collected from a patient with severe respiratory infection [1]. A phylogenetic analysis of the complete viral genome showed that the virus was most closely related to SARS-like coronaviruses [1,6]. The genome was released on 10 January 2020, enabling the development of NAATs and other diagnostic methods, therapeutics, and vaccines. Since then, various diagnostic tests have been employed to guide deisolation, including NAATs by reverse transcription polymerase chain reaction (RT-PCR), viral culture, and RATs. Whilst some laboratory tests can provide information on the amount of replicative (infectious) virus, other factors such as patient symptoms and immune status are also important in determining the risk of transmitting infection [20].
RT-PCR detects SARS-CoV-2 RNA in respiratory samples with high analytical sensitivity and specificity [21]. Depending on the platform and assay utilised, RT-PCR may target one or more viral genes including the open reading frames 1ab (ORF1ab) and 8 (ORF8), nucleocapsid (N), spike (S), envelope (E), transmembrane gene, and RNA-dependent RNA polymerase (RdRp). The relationship of cycle threshold (Ct) values to the infectious viral load and viral culture positivity has been studied, whereby Ct values ≥ 26 or ≥34 predict viral culture negativity [22,23,24]. Whether Ct values below these levels, indicative of a culturable and thus replicative virus, directly correlate with virus transmissibility, is, however, unclear. The use of subgenomic viral RNA detection to determine active viral replication is controversial [25,26] and is not widely available in routine diagnostic laboratories.
Importantly, RT-PCR does not distinguish between non-viable or non-replicating virus and a live or transmissible virus [27]. Non-replicating SARS-CoV-2 may be detected in individuals beyond their infectious period; one meta-analysis suggested a mean duration of shedding of 17 days from upper respiratory tract specimens (maximum 83 days) for mild–moderate disease; however, this is based on data prior to the Omicron VOC and may have altered with changes in population immunity following individual infection and/or vaccination. Older age, male gender, and symptomatic disease are more likely to be associated with prolonged SARS-CoV-2 RNA detection by NAATs without corresponding isolation of live virus [28]. Immunocompromised patients or those with severe disease are likely to shed both live and non-viable virus for longer periods of time compared to immunocompetent patients or those with mild to moderate disease [22,29]. In a case series of immunocompromised patients, Tarhini et al. demonstrated prolonged shedding with RNA detection up to 120 days post-symptom onset, which was associated with the absence of detectable SARS-CoV-2-specific antibodies [29]. In another study of immunocompromised hosts (including B-cell malignancy, receipt of anti-B-cell therapy, and solid organ or hematopoietic stem cell transplant recipients) by Raglow et al., Omicron SARS-CoV-2 was detected by RT-PCR and isolated in 25% and 8% of participants 21 or more days after the initial SARS-CoV-2 detection or illness onset, respectively [30]. Conversely, vaccination is associated with a shorter duration of viral shedding as detected by RT-PCR [31].
Viral culture observing for cytopathic effects and/or substantial increases in the viral load by RT-PCR remains the gold standard for detecting viable virus in respiratory samples. SARS-CoV-2 will not be isolated in the majority of specimens collected from patients with mild to moderate disease by days 8–11 post-symptom onset [20,22,24,32,33,34,35]. By contrast, SARS-CoV-2 may be isolated in patients that are immunocompromised or have severe disease 20 or more days post-symptom onset [20,22]. A small case series of immunocompromised patients on combinations of B- or T-cell-depleting therapies had positive viral cultures up to 103 days post-symptom onset [29]. Numerous authors have attempted to correlate median RT-PCR Ct values from respiratory samples with positive cultures; the upper limit of the Ct values on RT-PCR associated with a positive culture was approximately ≤34, ≤32, 26–34, and ≤27, reflecting the heterogeneity between studies (including but not limited to different patient populations, severity of disease, RT-PCR targets and assays, and virus isolation methods) performed during the different phases of the COVID-19 pandemic with different circulating VOCs [22,23,35,36].
Compared to viral culture and RT-PCR, RATs present a fast and inexpensive testing method that can be used for self-testing or testing at the point of care. Most RATs are lateral flow assays that detect viral antigens, most commonly the nucleocapsid protein [21,27]. A Cochrane review found that compared to RT-PCR, RATs have lower sensitivity for the diagnosis of COVID-19 (73% for symptomatic patients and 54.7% for asymptomatic patients) but retain high specificity > 99% [37]. Despite poor sensitivity for diagnosing infection in patients with lower viral loads (which are typically associated with asymptomatic, pauci-symptomatic, pre-symptomatic, or late infection), several studies have demonstrated that RATs are comparable to viral cultures in identifying patients with a viable (infectious) virus, rendering them a potentially suitable and cost-effective option to help guide the deisolation of patients or allow healthcare workers to return to work [23,38,39,40]. In a prospective cohort study of over 300 patients in the pre-Omicron era (September 2020–January 2021), Lopera et al. showed that negative RATs were equally as effective as viral cultures in detecting individuals who were no longer infectious, with a negative predictive value of 99.9% [23]. Their findings are echoed elsewhere, whereby positive RATs have a high sensitivity for detecting infectious viruses, often correlating with Ct values of ≤25 on RT-PCR [38]. In asymptomatic individuals and those with mild–moderate disease, a negative RAT strongly predicts non-infectiousness [39,40]. Most studies include patients with variable severity of disease and immune compromise; however, dedicated large studies examining RAT vs. culture in severe disease and/or immunocompromised patients are lacking.
Table 2 contrasts the potential advantages and disadvantages of the diagnostic tests for the purposes of deisolation. As further VOCs are expected to emerge over time, it remains pertinent that faster, more readily accessible testing modalities (RT-PCR and RAT) are compared against each other and viral culture for accuracy, sensitivity, and specificity, not only for the initial detection of disease, but also for clinical improvement and the end of viral shedding.

5. SARS-CoV-2-Specific Immunity

The measurement of SARS-CoV-2-specific antibodies as a means for determining safe deisolation also attracted significant attention in the earlier phases of the pandemic. The resolution of clinical symptoms has been associated with a declining viral load and an increase in both specific IgG and neutralising antibodies [21]. Seroconversion with antibody titres of at least 1:20 to 1:80 by immunofluorescence was associated with negative viral cultures [34,41]. Despite showing initial promise, the interpretation of serology for SARS-CoV-2 has become more complex with the emergence of new variants of concern, vaccination, hybrid (i.e., from both vaccination and infection) immunity, and increasing number of asymptomatic infections [21,42].
Diagnostic testing for infectious SARS-CoV-2 must now be considered alongside an individual’s immunity to the virus. The immune response to SARS-CoV-2 involves both the innate and adaptive immune systems, the latter involving both humoral and cellular components. Humoral immunity consists of antibodies that typically target the SARS-CoV-2 S protein, and the development of IgG is indicative of prior infection and/or vaccination [43,44,45]. The magnitude of antibody responses following infection generally correlates with the severity of disease. Children with milder disease tend to have lower antibody titres [46,47,48,49], and asymptomatic infection is associated with lower SARS-CoV-2-specific IgG titres [50]. While neutralising antibody responses appear to mitigate against the acquisition of infection, the adaptive humoral and particularly cellular responses are responsible for controlling viral replication after infection and preventing severe disease [51,52]. This will remain relevant in the future as the intersection of new SARS-CoV-2 variants with the complex immune environment (from previous infection and/or vaccine-derived immunity) means that antibody escape rather than innate SARS-CoV-2 virulence becomes the main driver of disease [53]. Furthermore, SARS-CoV-2 antibody levels following vaccination have been shown to wane by a factor of 18.3× over a six-month period, particularly in males and individuals aged greater than 65 years of age [54]. Prospective data by Regev-Yochay et al. suggested antibody level thresholds (>500 binding antibody units/mL or neutralising antibody titres > 1:1024) reduce the risk of infection in household contacts; however, the exact correlation between antibody levels and protection has not been determined [55]. Furthermore, a two- and ten-fold increase in IgG concentrations was associated with an odds ratio of 0.82 (95% CI 0.74–0.92) and 0.43 (95% CI 0.26–0.70) for acquiring infection, respectively [55].
By the end of 2023, there were over 400 SARS-CoV-2 vaccines in development, with 11 granted emergency-use status by the WHO. They were estimated to have saved at least 20 million lives [52]. All approved vaccines have been shown to induce an antibody response at least equivalent to, if not greater than, that induced by previous infection [56,57]. The introduction of SARS-CoV-2 vaccines has markedly reduced disease severity and mortality [58,59].
The currently used SARS-CoV-2 vaccines generate a predominantly IgG antibody response, with less induction of IgA and IgM [60]. Messenger RNA (mRNA) vaccines, such as BNT162b2 (Pfizer-BioNTech), generate a high titre of neutralising antibody that wanes by three to six months with a half-life of approximately 60 days [61,62,63]. The adenovirus vector-based vaccines, such as Ad26.COV2.S, generate lower antibody responses with a slower wane although clinical effectiveness is maintained for at least eight months [64,65,66]. In addition to antibody responses generated by vaccines, an examination of lymph node aspirates from vaccinated individuals suggests durable germinal B-cell and T-cell responses for up to three and six months, respectively, following vaccination [67,68].
Over the course of the pandemic, new VOCs have presented a challenge to vaccine effectiveness. The Omicron variant has over 50 point mutations, compared with four in the Delta variant, and has a fourfold greater immune escape (by neutralising antibody titres) relative to the Beta variant [52,69]. The two-dose primary vaccine regimens confer limited protection against the Omicron variant, and although improved by booster dosing, the protection from infection wanes after four weeks even following four doses [70]. Despite this, T-cell responses remain robust against VOCs, including Omicron, with greater than 80% cross-reactivity [71]. Breakthrough infection from immune-escape SARS-CoV-2 variants is not uncommon; however, robust cellular immunity has translated to retained protection from severe disease, evident in the South African Omicron outbreak where a two-dose primary vaccination schedule provided vaccinees over 70% protection against hospitalisation [72,73].
The titres of neutralising antibody generated from a previous infection are comparable to those following a primary vaccination schedule [74]. Neutralising antibodies and memory B-cells detected by flow cytometry persist for up to eight months in previously infected individuals [57]. One study showed that IgG was still detectable in 87% of individuals ten months post-infection [45]. T-cells responsive to a variety of SARS-CoV-2 viral epitopes were detectable in those previously infected [75]. However, it should be noted that T-cells responsive to the same epitopes were also detectable in pre-pandemic sera and those without previous infection, suggesting the greater promiscuity of T-cells than B-cells [76].
One large meta-analysis by Flacco et al. evaluated SARS-CoV-2 re-infection following primary infection in 15 million subjects aged between 15 and 87 years [77]. At 12 months post-infection, re-infection rates (0.32 vs. 0.77%) and rates of severe disease (0.01% vs. 0.1%) were lower in those who had received at least one dose of a vaccination compared to no doses. The rate of severe or fatal SARS-CoV-2 infection remained low, ranging from 2 to 7 out of 10,000 subjects and did not vary significantly between strains. A similar incremental risk of re-infection following infection rather than vaccination has been shown in a South African study that revealed a 40% relative risk for re-infection with the Omicron variant for those previously infected by the Delta variant, 60% for those previously infected by Beta, and 73% for those previously infected with the original Wuhan strain [78].
Hybrid immunity is most likely to be relevant in the general population currently, given the widespread rates of both previous infection and vaccination. It has been reported that humoral immunity induced by infection is enhanced by vaccination, producing more cross-reactive antibodies targeting the receptor-binding domain of the S protein [79]. Of note, vaccinated persons with acute SARS-CoV-2 infection are more likely to generate a higher serum antibody response, higher nasal mucosal antibody response, and higher S protein-specific CD8+ T-cell response compared to vaccinated individuals without acute infection [80].
Despite its relevance to the cohort of current inpatients, there are no data directly comparing the effect of hybrid immunity versus non-immunity on the onward transmission of SARS-CoV-2 from infected individuals. Of note, an Australian study demonstrated that pooled intravenous immunoglobulin from recent donations maintained the breath of neutralization against previous and emerging SARS-CoV-2 VOCs including the JN.1 variant, but with lower neutralization responses against the newer variants [81]. It is postulated that a higher degree of individual and herd hybrid immunity should reduce the duration of viral shedding; however, in the absence of robust clinical data, any measurement of immunity is unlikely to be incorporated routinely into deisolation guidelines.

6. Evidence Base for Deisolating Inpatients within Healthcare Facilities and Recommendations

Healthcare facilities require isolation and deisolation strategies in order to ensure the continuation of healthcare processes while balancing the risk of further infections in the hospital setting. Naturally, the risk of onward infection is not zero and ultimately facilities need to develop a strategy that minimises this risk. That risk may vary between facilities and the patient populations they serve. Interestingly, even public guidelines from government authorities vary for inpatients infected with influenza; isolation or droplet precautions may be mandated anywhere from three days following antiviral therapy to five days without therapy or seven days regardless of therapy [82,83]. The following section seeks to review previously published COVID-19 guidelines and provide a paradigm for use in the inpatient setting, though we acknowledge the framework will need to be adapted to the individual facility.
Despite limited studies examining the efficacy of inpatient deisolation protocols, peak medical bodies including the WHO, United States Centers for Disease Control and Prevention (CDC), and European Centre for Disease Prevention and Control (ECDC) have used available surrogate evidence to provide medical facilities with consensus statements about patient deisolation [9,10,17]. Key studies are highlighted in Table 3. Early guidelines mandated clinical recovery and two negative RT-PCR tests collected at least 24 h apart; however, improved knowledge around prolonged viral shedding and RT-PCR positivity, viral kinetics (which may be affected by the receipt of antiviral therapies), and persisting symptoms such as dry cough called this into question. Subsequent 2020 WHO guidelines suggested a time-based approach from symptom onset, whereby asymptomatic patients could be deisolated after ten days without testing, and those who were symptomatic required an additional three days of being symptom-free following their ten-day period of isolation [17]; however, such predominantly time-based strategies fail to acknowledge that an individual’s immune status may influence viral shedding. More recent 2022 and 2023 guidelines [9,10,84] have adopted the nuances provided by an understanding of testing, viral kinetics, and immunity, often incorporating RAT-led deisolation testing. Despite updates to guidelines, there is a paucity of data demonstrating the risk of nosocomial transmission or onward transmission from patients who have been deisolated following an acute COVID-19 illness; the absence of which may promisingly point towards current guidelines being appropriately conservative [85].
The severity of clinical disease has been associated with prolonged viral clearance and infectivity, alongside comorbidities such as hypertension, chronic obstructive pulmonary disease, and hyperlipidemia [19,91,92]. Varying evidence also exists regarding whether more rapid viral clearance occurs in asymptomatic patients versus symptomatic patients; however, a recent meta-analysis by Wu et al. suggests no significant difference exists [32,93,94]. As such, asymptomatic and mild–moderate infections are often grouped similarly in guidelines.
In asymptomatic, mild, and moderate COVID-19 infections, patients are most contagious immediately prior to the onset of symptoms or a positive test and the first few days following symptom onset [95]. A consistent finding in the literature is that this cohort is unlikely to be infectious beyond day ten from symptom onset, and this is reflected in international guidelines where patients may be deisolated in healthcare settings at day ten without fulfilling any testing criteria [9,10,20,28,84,95,96]. Guidelines vary in their inclusion of vaccination status in deisolation practices, particularly given the widespread infection rates that occurred internationally with the Omicron VOC, hybrid immunity, and minimal effect on test positivity [88,97,98].
Several studies incorporate symptom onset, resolution, testing strategies, and mask wearing in the deisolation of patients with asymptomatic, mild, or moderate disease. Bays et al. found that the use of RATs on days six and seven for patients would allow 79% of patients to be deisolated by day seven from symptom onset [89]. Their findings are supported by Maya and Kahn, who in a modelling study with the Omicron VOC found that a negative RAT on day six of a ten-day total isolation allowed for a cost-effective approach to deisolating patients, with a low rate of secondary infections, compared to RAT testing on day five of an eight-day total isolation, RT-PCR testing on day five of a ten-day isolation, or the 2022 CDC guidance to perform a symptom check on day five of a ten-day isolation [9,99]. These findings are supported by the high negative predictive value (99.5%) of RATs in ruling out infectious patients [100]. A combined testing- and symptom-based approach is adopted by several guidelines, in which the resolution of symptoms by day five or six and a negative RAT would allow for earlier deisolation [10,84]. Clearly, RATs provide a rapid, point-of-care test with utility in this setting, but their use should be combined with symptom improvement and time since onset of illness to improve their accuracy in guiding deisolation.
The use of RT-PCR for deisolation is incorporated in some international guidelines, and typically includes the requirement of a negative test result [9,10]. A negative result may thus be helpful in deisolation protocols, but a positive RT-PCR test result in immunocompetent asymptomatic patients is more difficult to interpret and should not be routinely recommended. The recommendation for RT-PCR in some guidelines does not consider that RT-PCR test results with Ct values >30–32 are generally not associated with a viable virus and errs on the side of caution given the variability between Ct values across the different RT-PCR assays due to variable targets and the potential for the late detection of drop-out targets such as the S gene and N gene for the B.1.1.7 and BA.2.86 SARS-CoV-2 variants, respectively [24,27,36,90]. Additionally, as most RT-PCR assays are qualitative or semi-quantitative, Ct values should be interpreted with caution unless a validated quantitative assay with an understanding of the viral load is supported in that particular institution [101,102].
Recommendation: In light of the above, for asymptomatic, mild, or moderate disease in non-immunocompromised patients, regardless of vaccination status, deisolation should be considered if the patient is asymptomatic by day five and has either a negative RAT or RT-PCR test on day six or seven. If SARS-CoV-2 RNA is detected by RT-PCR, but with a Ct value ≥ 30, a RAT should be performed and the decision to deisolate determined by the RAT result. In the absence of further testing, ten days of isolation should be observed (Table 4).
The decision to deisolate patients with severe or critical COVID-19 disease or immunocompromised patients is more nuanced and challenging. Evidence is limited to smaller cohorts and should be interpreted with caution. As previously noted, viral shedding can occur for prolonged periods in these patient cohorts, and a more individualised approach should focus on symptom resolution, allowing for at least 20 days since symptom onset, and two negative tests (RT-PCR test or RAT) collected 24 h apart. In the critical care setting, consensus guidelines recommend, without substantial evidence, a 20-day minimum isolation period, but if bed availability were to become an issue, a ten-day minimum isolation period followed by two negative RT-PCR tests may be considered [103]. In the haemodialysis population, it has been recommended that RT-PCR Ct values and/or RAT be considered in guiding deisolation, in keeping with viral kinetics studies in immunocompromised patients [104]. Despite the paucity of data regarding onward infection after deisolation, Kim et al. reported the case of a renal transplant recipient who was isolated for ten days with clinical recovery after a COVID-19 infection with the Delta VOC, only to require pulsed corticosteroid therapy for transplant rejection. This patient subsequently became symptomatic of COVID-19 and infected a number of other patients, carers, and healthcare workers. The same strain was confirmed on whole genome sequencing (WGS), suggesting a reactivation after immunosuppression following deisolation [105]. Therefore, the recommendation for deisolation in this setting should take into consideration persistence or recrudescence of symptoms, time elapsed since symptom onset, testing results, and plans for future immunosuppression but also the availability or use of prolonged or repeated courses of anti-viral medications.
Recommendation: Deisolation following severe or critical disease should be guided by a combination of symptom duration and testing results. For those who have improved symptomatically, a negative RAT or RT-PCR test after day ten may guide deisolation; however, deisolation could be considered at 20 days post-symptom onset in the absence of testing. (Table 4).
Recommendation: Deisolating immunocompromised patients should be individualised. Acute COVID-19 symptoms should have completely resolved, and respiratory parameters should be improving before deisolation is considered. A combination of at least 14 days post-symptom onset and two negative RT-PCR tests or RATs taken 24 h apart provide confidence to deisolate the patient. Patients should limit their exposure to high-risk settings (hospital appointments and aged care facilities) and consider wearing a surgical mask until day 20 post-symptom onset (Table 4).

7. Evidence Base for Deisolating Healthcare Workers and Recommendations

In the early phases of the pandemic, zero-tolerance COVID-19 isolation strategies of at least two weeks’ isolation and mandatory negative NAATs prior to release were widely acknowledged to have effectively reduced morbidity and mortality, but at significant financial costs and impact on the medical workforce affecting patient care and patient mental health [106].
Since early 2022, the surge of the Omicron VOC as the predominant community SARS-CoV-2 strain and further knowledge about NAAT interpretation and viral kinetics have contributed to a transition away from more conservative deisolation strategies for HCWs towards shorter time periods and revisiting the need for a negative RT-PCR test or RAT. Although Omicron was more infectious than the previous Delta and Alpha VOCs, it had a significantly shorter period of infectivity, justifying a shortened isolation period [97,98,107,108]. This shortened period of infectivity has been demonstrated in multiple studies using viral culture as a surrogate measure of infectivity in SARS-CoV-2 Omicron patients [32,91,92].
Guidelines for HCWs returning to work following COVID-19 infection currently recommend a minimum of five days of isolation, with return to work on day six post-symptom onset following a negative RAT or day seven without any testing, provided the HCW is asymptomatic [9,84]. The most significant difference between these and earlier guidelines is the management of close or suspected COVID-19 exposures, with current guidelines promoting continuing to work and risk minimisation strategies such as wearing masks in clinical areas until day ten rather than a prescribed duration of quarantine. RATs are the preferred method of deisolation, given their comparable sensitivity and specificity, up to 96.2% and 91%, respectively, at a significantly lower cost and shorter turnaround times compared to RT-PCR tests [39,99]. As discussed, RATs correlate well with infectivity, including for Omicron VOCs.
A larger retrospective study by Khan et al. (n = 1340) looked at the effectiveness of implementing a modified return to work policy similar to current Australian guidelines [86]. In this model, HCWs performed RATs between days five and seven of illness and were allowed to return to work the day following a negative result. This contributed to 3799 additional days of work saved compared to a standardised isolation period of ten days with RAT positivity at day five and seven found to be 22% and 6%, respectively. Another smaller study by Raza et al. which implemented a five-day isolation policy and deisolation following two consecutive negative RATs allowed 132 of 312 HCWs to return to work earlier than the previous 10-day isolation period [87]. In a South Korean study of viral kinetics in the Omicron era, onward rates of transmission were examined in HCWs exposed to others returning to work after five days of COVID-19 illness. The risk of onward transmission was low (4%) in the first five days following return; however, this study was conducted during a period of high community transmission and there were no corresponding WGS data available, thus limiting confidence in the exact source of transmission [109].
There is inherent variability in the duration of RAT positivity between individuals that should be considered when developing return-to-work policies. In contrast to Khan et al.’s RAT-positive rates of 22% and 6% at days five and seven, respectively, studies by Alshukairi et al. and Raza et al. demonstrated positive RAT rates of 45% at nine days and 36% at seven days [39,87]. RAT-positive rates as high as 96% at day five and 83% in day seven were described in a smaller study (n = 30) [110]. This variability suggests that testing-based return-to-work strategies may be more effective than blanket prescriptive deisolation periods which may expose patients to HCWs with delayed viral clearance times who may potentially transmit the virus [86]. However, despite this variability in viral shedding and RAT positivity, and even with blanket five-day isolation policies and no deisolation testing, the overall risk of contracting SARS-CoV-2 from returning HCWs remains very low [109]. Only 7% of 248 HCWs with a new diagnosis of COVID-19 were found to have any direct contact with returning HCWs, and only 4% had no other identifiable source of infection. This implies that the primary source of infection was likely to have been community contacts; it emphasises the importance of remaining at home and undergoing testing for respiratory viruses when unwell initially, but also supports the return to work when symptoms are improving after an appropriate time frame.
To our knowledge, there are no clear evidence-based recommendations for immunocompromised HCWs to return to work following a COVID-19 infection.
Recommendation: Following a recent COVID-19 infection, HCWs may return to work provided there is resolution of fever and acute respiratory symptoms and a negative RAT on day six post-symptom onset. Ongoing lethargy and a lingering dry cough may, however, be expected and should not preclude return to work. The use of surgical masks until at least day 10 post-infection is recommended to mitigate against the risk (albeit low) of onward transmission. Immunocompromised HCWs should ideally await resolution of fever and marked improvement in respiratory symptoms and two negative RATs or RT-PCR tests, taken on subsequent days, similar to immunocompromised patients, although this is a recommendation in the absence of clear evidence (Table 4).
Non-patient facing HCWs may return to work at an earlier time frame provided there is resolution of symptoms and a negative RAT; however, we would recommend ongoing mask use up to day seven post-symptom onset as a pragmatic risk-reduction measure, in line with evidence on recommended mask use [12].

8. Limitations

There are several limitations of note in our manuscript. Firstly, a narrative review has been provided, primarily to summarise the available literature thus far on an everyday issue that is heterogeneously approached by various infection and prevention control practitioners. Our research was limited to available full-text English-language papers and so may have excluded other important works, and owing to the breadth of the available literature, even with limiting search terms to a focus on ‘deisolation’, papers had to be manually screened for relevance, and so it is possible that important papers were missed; however, several authors independently reviewed the literature to minimise this risk. Secondly, further VOCs are likely to emerge as has even occurred during the process of manuscript preparation and revision, and likewise vaccination types, constituents, and schedules may all continue to develop, thus affecting the generalisability of these recommendations in the near future. The authors also hope that the approach to PPE choice and issues associated with inpatient isolation will continue to evolve. Rather than stringent recommendations to follow, we hope this narrative review provides a helpful working paradigm that can be adapted for use in individual facilities in light of future developments throughout the pandemic.

9. Conclusions and Future Directions

This narrative review has sought to summarise the available literature and guidelines examining SARS-CoV-2 transmission, viral kinetics, diagnostic methods, immunity, and inpatient deisolation following infection. The above recommendations are conservative given the consequences of onward transmission and the heterogeneity of available evidence at the time of writing. Individual facilities are recommended to adapt the framework presented above that involves a combination of disease severity, duration since symptom onset, underlying immune status, and availability of testing modalities in order to ultimately guide low-risk patient-centred deisolation.
Further research will clarify the impacts of several aspects affecting deisolation decisions. A more refined understanding of the transmission of SARS-CoV-2 IRPs in line with the new WHO definitions will guide the PPE required for the care of SARS-CoV-2-infected individuals or even of a recovering individual who may have prolonged viral shedding. As further VOCs emerge and while currently useful, RATs will need to be re-evaluated against RT-PCR and viral cultures for specificity in ruling out infectiousness. Guidelines ultimately need to provide a pragmatic solution that can be easily understood and adapted to staffing and bed allocation and ultimately that allow for ongoing patient care at the highest standard, and so future, prospective studies of deisolation protocols examining the R0 or onward infection rate would be best supplemented by qualitative insights into the patient and staff experience.

Funding

This research received no funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wu, F.; Zhao, S.; Yu, B.; Chen, Y.-M.; Wang, W.; Song, Z.-G.; Hu, Y.; Tao, Z.-W.; Tian, J.-H.; Pei, Y.-Y.; et al. A New Coronavirus Associated with Human Respiratory Disease in China. Nature 2020, 579, 265–269. [Google Scholar] [CrossRef] [PubMed]
  2. Luker, S.; Laver, K.; Lane, R.; Potter, E.; Harrod, A.; Bierer, P.; Adey-Wakeling, Z.; Karnon, J.; Cameron, I.D.; Crotty, M. “Put in a Room and Left”: A Qualitative Study Exploring the Lived Experiences of COVID-19 Isolation and Quarantine among Rehabilitation Inpatients. Ann. Med. 2023, 55, 198–206. [Google Scholar] [CrossRef] [PubMed]
  3. Hwang, T.-J.; Rabheru, K.; Peisah, C.; Reichman, W.; Ikeda, M. Loneliness and Social Isolation during the COVID-19 Pandemic. Int. Psychogeriatr. 2020, 32, 1217–1220. [Google Scholar] [CrossRef] [PubMed]
  4. Brooks, S.K.; Webster, R.K.; Smith, L.E.; Woodland, L.; Wessely, S.; Greenberg, N.; Rubin, G.J. The Psychological Impact of Quarantine and How to Reduce It: Rapid Review of the Evidence. Lancet 2020, 395, 912–920. [Google Scholar] [CrossRef] [PubMed]
  5. Ge, Y.; Zhang, W.-B.; Wu, X.; Ruktanonchai, C.W.; Liu, H.; Wang, J.; Song, Y.; Liu, M.; Yan, W.; Yang, J.; et al. Untangling the Changing Impact of Non-Pharmaceutical Interventions and Vaccination on European COVID-19 Trajectories. Nat. Commun. 2022, 13, 3106. [Google Scholar] [CrossRef] [PubMed]
  6. Wang, L.-P.; Han, J.-Y.; Zhou, S.-X.; Yu, L.-J.; Lu, Q.-B.; Zhang, X.-A.; Zhang, H.-Y.; Ren, X.; Zhang, C.-H.; Wang, Y.-F.; et al. The Changing Pattern of Enteric Pathogen Infections in China during the COVID-19 Pandemic: A Nation-Wide Observational Study. Lancet Reg. Health West. Pac. 2021, 16, 100268. [Google Scholar] [CrossRef] [PubMed]
  7. Huang, Q.S.; Wood, T.; Jelley, L.; Jennings, T.; Jefferies, S.; Daniells, K.; Nesdale, A.; Dowell, T.; Turner, N.; Campbell-Stokes, P.; et al. Impact of the COVID-19 Nonpharmaceutical Interventions on Influenza and Other Respiratory Viral Infections in New Zealand. Nat. Commun. 2021, 12, 1001. [Google Scholar] [CrossRef] [PubMed]
  8. Huang, L.; Zhou, H.; Chen, J.; Jia, C.; Siddique, A.; Wu, B.; Wang, H.; Tang, B.; He, F.; Zhao, G.; et al. Impact of COVID-19-Related Nonpharmaceutical Interventions on Diarrheal Diseases and Zoonotic Salmonella. hLife 2024, 2, 246–256. [Google Scholar] [CrossRef]
  9. Centers for Disease Control and Prevention Ending Isolation. Available online: https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html (accessed on 12 September 2023).
  10. European Centre for Diseases Prevention and Control. Guidance on Ending the Isolation Period for People with COVID-19, Third Update; ECDC: Stockholm, Sweden, 2022.
  11. World Health Organisation Standard Precautions for the Prevention and Control of Infections: Aide-Memoire. Available online: https://www.who.int/publications/i/item/WHO-UHL-IHS-IPC-2022.1 (accessed on 16 June 2024).
  12. Greenhalgh, T.; MacIntyre, C.R.; Baker, M.G.; Bhattacharjee, S.; Chughtai, A.A.; Fisman, D.; Kunasekaran, M.; Kvalsvig, A.; Lupton, D.; Oliver, M.; et al. Masks and Respirators for Prevention of Respiratory Infections: A State of the Science Review. Clin. Microbiol. Rev. 2024, 37, e0012423. [Google Scholar] [CrossRef]
  13. Global Technical Consultation Report on Proposed Terminology for Pathogens That Transmit through the Air; World Health Organisation: Geneva, Switzerland, 2024.
  14. Jimenez, J.L.; Marr, L.C.; Randall, K.; Ewing, E.T.; Tufekci, Z.; Greenhalgh, T.; Tellier, R.; Tang, J.W.; Li, Y.; Morawska, L.; et al. What Were the Historical Reasons for the Resistance to Recognizing Airborne Transmission during the COVID-19 Pandemic? Indoor Air 2022, 32, e13070. [Google Scholar] [CrossRef]
  15. Loeb, M.; Bartholomew, A.; Hashmi, M.; Tarhuni, W.; Hassany, M.; Youngster, I.; Somayaji, R.; Larios, O.; Kim, J.; Missaghi, B.; et al. Medical Masks Versus N95 Respirators for Preventing COVID-19 Among Health Care Workers. Ann. Intern. Med. 2022, 175, 1629–1638. [Google Scholar] [CrossRef] [PubMed]
  16. National Institutes of Health Clinical Spectrum of SARS-CoV-2 Infection. Available online: https://www.covid19treatmentguidelines.nih.gov/overview/clinical-spectrum/ (accessed on 12 September 2023).
  17. World Health Organization Clinical Management of COVID-19: Interim Guidance, 27 May 2020; World Health Organization: Geneva, Switzerland, 2020.
  18. Dadras, O.; Afsahi, A.M.; Pashaei, Z.; Mojdeganlou, H.; Karimi, A.; Habibi, P.; Barzegary, A.; Fakhfouri, A.; Mirzapour, P.; Janfaza, N.; et al. The Relationship between COVID-19 Viral Load and Disease Severity: A Systematic Review. Immun. Inflamm. Dis. 2022, 10, e580. [Google Scholar] [CrossRef] [PubMed]
  19. Li, R.; Jin, C.; Zhang, L.; Kong, D.; Hu, K.; Xuan, M.; Liu, Q.; Li, S.; Zhang, K.; Xue, Y. Clinical Characteristics and Risk Factors Analysis of Viral Shedding Time in Mildly Symptomatic and Asymptomatic Patients with SARS-CoV-2 Omicron Variant Infection in Shanghai. Front. Public Health 2023, 10, 1073387. [Google Scholar] [CrossRef] [PubMed]
  20. Walsh, K.A.; Spillane, S.; Comber, L.; Cardwell, K.; Harrington, P.; Connell, J.; Teljeur, C.; Broderick, N.; de Gascun, C.F.; Smith, S.M.; et al. The Duration of Infectiousness of Individuals Infected with SARS-CoV-2. J. Infect. 2020, 81, 847–856. [Google Scholar] [CrossRef] [PubMed]
  21. Puhach, O.; Meyer, B.; Eckerle, I. SARS-CoV-2 Viral Load and Shedding Kinetics. Nat. Rev. Microbiol. 2023, 21, 147–161. [Google Scholar] [CrossRef]
  22. Qutub, M.; Aldabbagh, Y.; Mehdawi, F.; Alraddadi, A.; Alhomsy, M.; Alnahdi, A.; Fakeeh, M.; Maghrabi, A.; Alwagdani, M.; Bahabri, N. Duration of Viable SARS-CoV-2 Shedding from Respiratory Tract in Different Human Hosts and Its Impact on Isolation Discontinuation Polices Revision; a Narrative Review. Clin. Infect. Pract. 2022, 13, 100140. [Google Scholar] [CrossRef]
  23. Lopera, T.J.; Alzate-Ángel, J.C.; Díaz, F.J.; Rugeles, M.T.; Aguilar-Jiménez, W. The Usefulness of Antigen Testing in Predicting Contagiousness in COVID-19. Microbiol. Spectr. 2022, 10, e0196221. [Google Scholar] [CrossRef] [PubMed]
  24. Bullard, J.; Dust, K.; Funk, D.; Strong, J.E.; Alexander, D.; Garnett, L.; Boodman, C.; Bello, A.; Hedley, A.; Schiffman, Z.; et al. Predicting Infectious Severe Acute Respiratory Syndrome Coronavirus 2 From Diagnostic Samples. Clin. Infect. Dis. 2020, 71, 2663–2666. [Google Scholar] [CrossRef]
  25. Dimcheff, D.E.; Valesano, A.L.; Rumfelt, K.E.; Fitzsimmons, W.J.; Blair, C.; Mirabelli, C.; Petrie, J.G.; Martin, E.T.; Bhambhani, C.; Tewari, M.; et al. Severe Acute Respiratory Syndrome Coronavirus 2 Total and Subgenomic RNA Viral Load in Hospitalized Patients. J. Infect. Dis. 2021, 224, 1287–1293. [Google Scholar] [CrossRef]
  26. Alexandersen, S.; Chamings, A.; Bhatta, T.R. SARS-CoV-2 Genomic and Subgenomic RNAs in Diagnostic Samples Are Not an Indicator of Active Replication. Nat. Commun. 2020, 11, 6059. [Google Scholar] [CrossRef]
  27. Kirby, J.E.; Riedel, S.; Dutta, S.; Arnaout, R.; Cheng, A.; Ditelberg, S.; Hamel, D.J.; Chang, C.A.; Kanki, P.J. Sars-Cov-2 Antigen Tests Predict Infectivity Based on Viral Culture: Comparison of Antigen, PCR Viral Load, and Viral Culture Testing on a Large Sample Cohort. Clin. Microbiol. Infect. 2023, 29, 94–100. [Google Scholar] [CrossRef]
  28. Cevik, M.; Tate, M.; Lloyd, O.; Maraolo, A.E.; Schafers, J.; Ho, A. SARS-CoV-2, SARS-CoV, and MERS-CoV Viral Load Dynamics, Duration of Viral Shedding, and Infectiousness: A Systematic Review and Meta-Analysis. Lancet Microbe 2021, 2, e13–e22. [Google Scholar] [CrossRef] [PubMed]
  29. Tarhini, H.; Recoing, A.; Bridier-Nahmias, A.; Rahi, M.; Lambert, C.; Martres, P.; Lucet, J.-C.; Rioux, C.; Bouzid, D.; Lebourgeois, S.; et al. Long-Term Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infectiousness Among Three Immunocompromised Patients: From Prolonged Viral Shedding to SARS-CoV-2 Superinfection. J. Infect. Dis. 2021, 223, 1522–1527. [Google Scholar] [CrossRef] [PubMed]
  30. Raglow, Z.; Surie, D.; Chappell, J.D.; Zhu, Y.; Martin, E.T.; Kwon, J.H.; Frosch, A.E.; Mohamed, A.; Gilbert, J.; Bendall, E.E.; et al. SARS-CoV-2 Shedding and Evolution in Patients Who Were Immunocompromised during the Omicron Period: A Multicentre, Prospective Analysis. Lancet Microbe 2024, 5, e235–e246. [Google Scholar] [CrossRef] [PubMed]
  31. Garcia-Knight, M.; Anglin, K.; Tassetto, M.; Lu, S.; Zhang, A.; Goldberg, S.A.; Catching, A.; Davidson, M.C.; Shak, J.R.; Romero, M.; et al. Infectious Viral Shedding of SARS-CoV-2 Delta Following Vaccination: A Longitudinal Cohort Study. PLoS Pathog. 2022, 18, e1010802. [Google Scholar] [CrossRef] [PubMed]
  32. Wu, Y.; Guo, Z.; Yuan, J.; Cao, G.; Wang, Y.; Gao, P.; Liu, J.; Liu, M. Duration of Viable Virus Shedding and Polymerase Chain Reaction Positivity of the SARS-CoV-2 Omicron Variant in the Upper Respiratory Tract: A Systematic Review and Meta-Analysis. Int. J. Infect. Dis. 2023, 129, 228–235. [Google Scholar] [CrossRef] [PubMed]
  33. Cento, V.; Colagrossi, L.; Nava, A.; Lamberti, A.; Senatore, S.; Travi, G.; Rossotti, R.; Vecchi, M.; Casati, O.; Matarazzo, E.; et al. Persistent Positivity and Fluctuations of SARS-CoV-2 RNA in Clinically-Recovered COVID-19 Patients. J. Infect. 2020, 81, e90–e92. [Google Scholar] [CrossRef] [PubMed]
  34. van Kampen, J.J.A.; van de Vijver, D.A.M.C.; Fraaij, P.L.A.; Haagmans, B.L.; Lamers, M.M.; Okba, N.; van den Akker, J.P.C.; Endeman, H.; Gommers, D.A.M.P.J.; Cornelissen, J.J.; et al. Duration and Key Determinants of Infectious Virus Shedding in Hospitalized Patients with Coronavirus Disease-2019 (COVID-19). Nat. Commun. 2021, 12, 267. [Google Scholar] [CrossRef] [PubMed]
  35. La Scola, B.; Le Bideau, M.; Andreani, J.; Hoang, V.T.; Grimaldier, C.; Colson, P.; Gautret, P.; Raoult, D. Viral RNA Load as Determined by Cell Culture as a Management Tool for Discharge of SARS-CoV-2 Patients from Infectious Disease Wards. Eur. J. Clin. Microbiol. Infect. Dis. 2020, 39, 1059–1061. [Google Scholar] [CrossRef]
  36. Basile, K.; McPhie, K.; Carter, I.; Alderson, S.; Rahman, H.; Donovan, L.; Kumar, S.; Tran, T.; Ko, D.; Sivaruban, T.; et al. Cell-Based Culture of SARS-CoV-2 Informs Infectivity and Safe de-Isolation Assessments during COVID-19. Clin. Infect. Dis. 2021, 73, e2952–e2959. [Google Scholar] [CrossRef]
  37. Dinnes, J.; Sharma, P.; Berhane, S.; van Wyk, S.S.; Nyaaba, N.; Domen, J.; Taylor, M.; Cunningham, J.; Davenport, C.; Dittrich, S.; et al. Rapid, Point-of-Care Antigen Tests for Diagnosis of SARS-CoV-2 Infection. Cochrane Database Syst. Rev. 2022, 7, CD013705. [Google Scholar] [CrossRef]
  38. Yamayoshi, S.; Sakai-Tagawa, Y.; Koga, M.; Akasaka, O.; Nakachi, I.; Koh, H.; Maeda, K.; Adachi, E.; Saito, M.; Nagai, H.; et al. Comparison of Rapid Antigen Tests for COVID-19. Viruses 2020, 12, 1420. [Google Scholar] [CrossRef]
  39. Alshukairi, A.N.; Al-Omari, A.; Al Hroub, M.K.; Al-Tawfiq, J.A.; Qutub, M.; Shaikh, S.; Allali, K.; Saeedi, M.F.; Alosaimi, R.S.; Alamoudi, E.; et al. De-Isolation of Vaccinated COVID-19 Health Care Workers Using Rapid Antigen Detection Test. J. Infect. Public Health 2022, 15, 902–905. [Google Scholar] [CrossRef]
  40. Currie, D.W.; Shah, M.M.; Salvatore, P.P.; Ford, L.; Whaley, M.J.; Meece, J.; Ivacic, L.; Thornburg, N.J.; Tamin, A.; Harcourt, J.L.; et al. Relationship of SARS-CoV-2 Antigen and Reverse Transcription PCR Positivity for Viral Cultures. Emerg. Infect. Dis. 2022, 28, 717–720. [Google Scholar] [CrossRef] [PubMed]
  41. Glans, H.; Gredmark-Russ, S.; Olausson, M.; Falck-Jones, S.; Varnaite, R.; Christ, W.; Maleki, K.T.; Karlberg, M.L.; Broddesson, S.; Falck-Jones, R.; et al. Shedding of Infectious SARS-CoV-2 by Hospitalized COVID-19 Patients in Relation to Serum Antibody Responses. BMC Infect. Dis. 2021, 21, 494. [Google Scholar] [CrossRef] [PubMed]
  42. Ma, Q.; Liu, J.; Liu, Q.; Kang, L.; Liu, R.; Jing, W.; Wu, Y.; Liu, M. Global Percentage of Asymptomatic SARS-CoV-2 Infections Among the Tested Population and Individuals with Confirmed COVID-19 Diagnosis: A Systematic Review and Meta-Analysis. JAMA Netw. Open 2021, 4, e2137257. [Google Scholar] [CrossRef]
  43. Bartsch, Y.C.; Tong, X.; Kang, J.; Avendaño, M.J.; Serrano, E.F.; García-Salum, T.; Pardo-Roa, C.; Riquelme, A.; Cai, Y.; Renzi, I.; et al. Omicron Variant Spike-Specific Antibody Binding and Fc Activity Are Preserved in Recipients of mRNA or Inactivated COVID-19 Vaccines. Sci. Transl. Med. 2022, 14, eabn9243. [Google Scholar] [CrossRef]
  44. Gudbjartsson, D.F.; Norddahl, G.L.; Melsted, P.; Gunnarsdottir, K.; Holm, H.; Eythorsson, E.; Arnthorsson, A.O.; Helgason, D.; Bjarnadottir, K.; Ingvarsson, R.F.; et al. Humoral Immune Response to SARS-CoV-2 in Iceland. N. Engl. J. Med. 2020, 383, 1724–1734. [Google Scholar] [CrossRef] [PubMed]
  45. Vanshylla, K.; Di Cristanziano, V.; Kleipass, F.; Dewald, F.; Schommers, P.; Gieselmann, L.; Gruell, H.; Schlotz, M.; Ercanoglu, M.S.; Stumpf, R.; et al. Kinetics and Correlates of the Neutralizing Antibody Response to SARS-CoV-2 Infection in Humans. Cell Host Microbe 2021, 29, 917–929.e4. [Google Scholar] [CrossRef]
  46. Garcia-Beltran, W.F.; Lam, E.C.; Astudillo, M.G.; Yang, D.; Miller, T.E.; Feldman, J.; Hauser, B.M.; Caradonna, T.M.; Clayton, K.L.; Nitido, A.D.; et al. COVID-19-Neutralizing Antibodies Predict Disease Severity and Survival. Cell 2021, 184, 476–488.e11. [Google Scholar] [CrossRef]
  47. Shrock, E.; Fujimura, E.; Kula, T.; Timms, R.T.; Lee, I.-H.; Leng, Y.; Robinson, M.L.; Sie, B.M.; Li, M.Z.; Chen, Y.; et al. Viral Epitope Profiling of COVID-19 Patients Reveals Cross-Reactivity and Correlates of Severity. Science 2020, 370, eabd4250. [Google Scholar] [CrossRef]
  48. Cervia, C.; Nilsson, J.; Zurbuchen, Y.; Valaperti, A.; Schreiner, J.; Wolfensberger, A.; Raeber, M.E.; Adamo, S.; Weigang, S.; Emmenegger, M.; et al. Systemic and Mucosal Antibody Responses Specific to SARS-CoV-2 during Mild versus Severe COVID-19. J. Allergy Clin. Immunol. 2021, 147, 545–557.e9. [Google Scholar] [CrossRef] [PubMed]
  49. Weisberg, S.P.; Connors, T.J.; Zhu, Y.; Baldwin, M.R.; Lin, W.-H.; Wontakal, S.; Szabo, P.A.; Wells, S.B.; Dogra, P.; Gray, J.; et al. Distinct Antibody Responses to SARS-CoV-2 in Children and Adults across the COVID-19 Clinical Spectrum. Nat. Immunol. 2021, 22, 25–31. [Google Scholar] [CrossRef]
  50. Long, Q.-X.; Tang, X.-J.; Shi, Q.-L.; Li, Q.; Deng, H.-J.; Yuan, J.; Hu, J.-L.; Xu, W.; Zhang, Y.; Lv, F.-J.; et al. Clinical and Immunological Assessment of Asymptomatic SARS-CoV-2 Infections. Nat. Med. 2020, 26, 1200–1204. [Google Scholar] [CrossRef]
  51. Sette, A.; Crotty, S. Adaptive Immunity to SARS-CoV-2 and COVID-19. Cell 2021, 184, 861–880. [Google Scholar] [CrossRef] [PubMed]
  52. Barouch, D.H. COVID-19 Vaccines—Immunity, Variants, Boosters. N. Engl. J. Med. 2022, 387, 1011–1020. [Google Scholar] [CrossRef]
  53. Carabelli, A.M.; Peacock, T.P.; Thorne, L.G.; Harvey, W.T.; Hughes, J.; COVID-19 Genomics UK Consortium; Peacock, S.J.; Barclay, W.S.; de Silva, T.I.; Towers, G.J.; et al. SARS-CoV-2 Variant Biology: Immune Escape, Transmission and Fitness. Nat. Rev. Microbiol. 2023, 21, 162–177. [Google Scholar] [CrossRef]
  54. Levin, E.G.; Lustig, Y.; Cohen, C.; Fluss, R.; Indenbaum, V.; Amit, S.; Doolman, R.; Asraf, K.; Mendelson, E.; Ziv, A.; et al. Waning Immune Humoral Response to BNT162b2 COVID-19 Vaccine over 6 Months. N. Engl. J. Med. 2021, 385, e84. [Google Scholar] [CrossRef] [PubMed]
  55. Regev-Yochay, G.; Lustig, Y.; Joseph, G.; Gilboa, M.; Barda, N.; Gens, I.; Indenbaum, V.; Halpern, O.; Katz-Likvornik, S.; Levin, T.; et al. Correlates of Protection against COVID-19 Infection and Intensity of Symptomatic Disease in Vaccinated Individuals Exposed to SARS-CoV-2 in Households in Israel (ICoFS): A Prospective Cohort Study. Lancet Microbe 2023, 4, e309–e318. [Google Scholar] [CrossRef] [PubMed]
  56. Rapaka, R.R.; Hammershaimb, E.A.; Neuzil, K.M. Are Some COVID-19 Vaccines Better Than Others? Interpreting and Comparing Estimates of Efficacy in Vaccine Trials. Clin. Infect. Dis. 2022, 74, 352–358. [Google Scholar] [CrossRef]
  57. Castro Dopico, X.; Ols, S.; Loré, K.; Karlsson Hedestam, G.B. Immunity to SARS-CoV-2 Induced by Infection or Vaccination. J. Intern. Med. 2022, 291, 32–50. [Google Scholar] [CrossRef] [PubMed]
  58. Lin, D.-Y.; Gu, Y.; Wheeler, B.; Young, H.; Holloway, S.; Sunny, S.-K.; Moore, Z.; Zeng, D. Effectiveness of COVID-19 Vaccines over a 9-Month Period in North Carolina. N. Engl. J. Med. 2022, 386, 933–941. [Google Scholar] [CrossRef] [PubMed]
  59. Thompson, M.G.; Stenehjem, E.; Grannis, S.; Ball, S.W.; Naleway, A.L.; Ong, T.C.; DeSilva, M.B.; Natarajan, K.; Bozio, C.H.; Lewis, N.; et al. Effectiveness of COVID-19 Vaccines in Ambulatory and Inpatient Care Settings. N. Engl. J. Med. 2021, 385, 1355–1371. [Google Scholar] [CrossRef]
  60. Danese, E.; Montagnana, M.; Salvagno, G.L.; Peserico, D.; Pighi, L.; De Nitto, S.; Henry, B.M.; Porru, S.; Lippi, G. Comprehensive Assessment of Humoral Response after Pfizer BNT162b2 mRNA COVID-19 Vaccination: A Three-Case Series. Clin. Chem. Lab. Med. 2021, 59, 1585–1591. [Google Scholar] [CrossRef] [PubMed]
  61. Falsey, A.R.; Frenck, R.W.; Walsh, E.E.; Kitchin, N.; Absalon, J.; Gurtman, A.; Lockhart, S.; Bailey, R.; Swanson, K.A.; Xu, X.; et al. SARS-CoV-2 Neutralization with BNT162b2 Vaccine Dose 3. N. Engl. J. Med. 2021, 385, 1627–1629. [Google Scholar] [CrossRef] [PubMed]
  62. Widge, A.T.; Rouphael, N.G.; Jackson, L.A.; Anderson, E.J.; Roberts, P.C.; Makhene, M.; Chappell, J.D.; Denison, M.R.; Stevens, L.J.; Pruijssers, A.J.; et al. Durability of Responses after SARS-CoV-2 mRNA-1273 Vaccination. N. Engl. J. Med. 2021, 384, 80–82. [Google Scholar] [CrossRef] [PubMed]
  63. Doria-Rose, N.; Suthar, M.S.; Makowski, M.; O’Connell, S.; McDermott, A.B.; Flach, B.; Ledgerwood, J.E.; Mascola, J.R.; Graham, B.S.; Lin, B.C.; et al. Antibody Persistence through 6 Months after the Second Dose of mRNA-1273 Vaccine for COVID-19. N. Engl. J. Med. 2021, 384, 2259–2261. [Google Scholar] [CrossRef]
  64. Alter, G.; Yu, J.; Liu, J.; Chandrashekar, A.; Borducchi, E.N.; Tostanoski, L.H.; McMahan, K.; Jacob-Dolan, C.; Martinez, D.R.; Chang, A.; et al. Immunogenicity of Ad26.COV2.S Vaccine against SARS-CoV-2 Variants in Humans. Nature 2021, 596, 268–272. [Google Scholar] [CrossRef]
  65. Stephenson, K.E.; Le Gars, M.; Sadoff, J.; de Groot, A.M.; Heerwegh, D.; Truyers, C.; Atyeo, C.; Loos, C.; Chandrashekar, A.; McMahan, K.; et al. Immunogenicity of the Ad26.COV2.S Vaccine for COVID-19. JAMA 2021, 325, 1535–1544. [Google Scholar] [CrossRef] [PubMed]
  66. Barouch, D.H.; Stephenson, K.E.; Sadoff, J.; Yu, J.; Chang, A.; Gebre, M.; McMahan, K.; Liu, J.; Chandrashekar, A.; Patel, S.; et al. Durable Humoral and Cellular Immune Responses 8 Months after Ad26.COV2.S Vaccination. N. Engl. J. Med. 2021, 385, 951–953. [Google Scholar] [CrossRef]
  67. Turner, J.S.; O’Halloran, J.A.; Kalaidina, E.; Kim, W.; Schmitz, A.J.; Zhou, J.Q.; Lei, T.; Thapa, M.; Chen, R.E.; Case, J.B.; et al. SARS-CoV-2 mRNA Vaccines Induce Persistent Human Germinal Centre Responses. Nature 2021, 596, 109–113. [Google Scholar] [CrossRef]
  68. Atmar, R.L.; Lyke, K.E.; Deming, M.E.; Jackson, L.A.; Branche, A.R.; El Sahly, H.M.; Rostad, C.A.; Martin, J.M.; Johnston, C.; Rupp, R.E.; et al. Homologous and Heterologous COVID-19 Booster Vaccinations. N. Engl. J. Med. 2022, 386, 1046–1057. [Google Scholar] [CrossRef] [PubMed]
  69. Cele, S.; Jackson, L.; Khoury, D.S.; Khan, K.; Moyo-Gwete, T.; Tegally, H.; San, J.E.; Cromer, D.; Scheepers, C.; Amoako, D.G.; et al. Omicron Extensively but Incompletely Escapes Pfizer BNT162b2 Neutralization. Nature 2022, 602, 654–656. [Google Scholar] [CrossRef]
  70. Bar-On, Y.M.; Goldberg, Y.; Mandel, M.; Bodenheimer, O.; Amir, O.; Freedman, L.; Alroy-Preis, S.; Ash, N.; Huppert, A.; Milo, R. Protection by a Fourth Dose of BNT162b2 against Omicron in Israel. N. Engl. J. Med. 2022, 386, 1712–1720. [Google Scholar] [CrossRef]
  71. Liu, J.; Chandrashekar, A.; Sellers, D.; Barrett, J.; Jacob-Dolan, C.; Lifton, M.; McMahan, K.; Sciacca, M.; VanWyk, H.; Wu, C.; et al. Vaccines Elicit Highly Conserved Cellular Immunity to SARS-CoV-2 Omicron. Nature 2022, 603, 493–496. [Google Scholar] [CrossRef] [PubMed]
  72. Lipsitch, M.; Krammer, F.; Regev-Yochay, G.; Lustig, Y.; Balicer, R.D. SARS-CoV-2 Breakthrough Infections in Vaccinated Individuals: Measurement, Causes and Impact. Nat. Rev. Immunol. 2022, 22, 57–65. [Google Scholar] [CrossRef]
  73. Gray, G.; Collie, S.; Goga, A.; Garrett, N.; Champion, J.; Seocharan, I.; Bamford, L.; Moultrie, H.; Bekker, L.-G. Effectiveness of Ad26.COV2.S and BNT162b2 Vaccines against Omicron Variant in South Africa. N. Engl. J. Med. 2022, 386, 2243–2245. [Google Scholar] [CrossRef] [PubMed]
  74. Jackson, L.A.; Anderson, E.J.; Rouphael, N.G.; Roberts, P.C.; Makhene, M.; Coler, R.N.; McCullough, M.P.; Chappell, J.D.; Denison, M.R.; Stevens, L.J.; et al. An mRNA Vaccine against SARS-CoV-2—Preliminary Report. N. Engl. J. Med. 2020, 383, 1920–1931. [Google Scholar] [CrossRef]
  75. Grifoni, A.; Weiskopf, D.; Ramirez, S.I.; Mateus, J.; Dan, J.M.; Moderbacher, C.R.; Rawlings, S.A.; Sutherland, A.; Premkumar, L.; Jadi, R.S.; et al. Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals. Cell 2020, 181, 1489–1501.e15. [Google Scholar] [CrossRef]
  76. Yaseen, F.S.; Saide, K.; Kim, S.-H.; Monshi, M.; Tailor, A.; Wood, S.; Meng, X.; Jenkins, R.; Faulkner, L.; Daly, A.K.; et al. Promiscuous T-Cell Responses to Drugs and Drug-Haptens. J. Allergy Clin. Immunol. 2015, 136, 474–476.e8. [Google Scholar] [CrossRef]
  77. Flacco, M.E.; Acuti Martellucci, C.; Baccolini, V.; De Vito, C.; Renzi, E.; Villari, P.; Manzoli, L. Risk of Reinfection and Disease after SARS-CoV-2 Primary Infection: Meta-Analysis. Eur. J. Clin. Investig. 2022, 52, e13845. [Google Scholar] [CrossRef]
  78. Chenchula, S.; Karunakaran, P.; Sharma, S.; Chavan, M. Current Evidence on Efficacy of COVID-19 Booster Dose Vaccination against the Omicron Variant: A Systematic Review. J. Med. Virol. 2022, 94, 2969–2976. [Google Scholar] [CrossRef]
  79. Wang, Z.; Muecksch, F.; Schaefer-Babajew, D.; Finkin, S.; Viant, C.; Gaebler, C.; Hoffmann, H.-H.; Barnes, C.O.; Cipolla, M.; Ramos, V.; et al. Naturally Enhanced Neutralizing Breadth against SARS-CoV-2 One Year after Infection. Nature 2021, 595, 426–431. [Google Scholar] [CrossRef]
  80. Collier, A.-R.Y.; Brown, C.M.; McMahan, K.A.; Yu, J.; Liu, J.; Jacob-Dolan, C.; Chandrashekar, A.; Tierney, D.; Ansel, J.L.; Rowe, M.; et al. Characterization of Immune Responses in Fully Vaccinated Individuals after Breakthrough Infection with the SARS-CoV-2 Delta Variant. Sci. Transl. Med. 2022, 14, eabn6150. [Google Scholar] [CrossRef]
  81. Akerman, A.; Fitcher, C.; Milogiannakis, V.; Esneu, C.; Ruiz Silva, M.; Ison, T.; Lopez, J.A.; Naing, Z.; Caguicla, J.; Amatayakul-Chantler, S.; et al. Cross-Sectional and Longitudinal Genotype to Phenotype Surveillance of SARS-CoV-2 Variants Over the First Four Years of the COVID-19 Pandemic 2024. medRxiv 2024. [Google Scholar] [CrossRef]
  82. Communicable Diseases Network Australia, Australian Government Department of Health and Aged Care. Influenza Infection (Flu)—CDNA National Guidelines for Public Health Units. Available online: https://www.health.gov.au/resources/publications/influenza-infection-flu-cdna-national-guidelines-for-public-health-units?language=en (accessed on 19 June 2024).
  83. Centers for Disease Control and Prevention Prevention Strategies for Seasonal Influenza in Healthcare Settings|CDC. Available online: https://www.cdc.gov/flu/professionals/infectioncontrol/healthcaresettings.htm (accessed on 19 June 2024).
  84. Clinical Excellence Commission. Infection Prevention and Control Manual COVID-19 and Other Acute Respiratory Infections for Acute and Non-Acute Healthcare Settings, v4.2; Clinical Excellence Commission: Sydney, Australia, 2023.
  85. Jafari, Y.; Yin, M.; Lim, C.; Pople, D.; Evans, S.; Stimson, J.; Pham, T.M.; Read, J.M.; Robotham, J.V.; Cooper, B.S.; et al. Effectiveness of Infection Prevention and Control Interventions, Excluding Personal Protective Equipment, to Prevent Nosocomial Transmission of SARS-CoV-2: A Systematic Review and Call for Action. Infect. Prev. Pract. 2021, 4, 100192. [Google Scholar] [CrossRef]
  86. Khan, U.I.; Mahmood, S.F.; Khan, S.; Hasan, Z.; Cheema, A.; Hakim, A.; Ali, S.I. Using Rapid Antigen Testing for Early, Safe Return-to-Work for Healthcare Personnel after SARS-CoV-2 Infection in a Healthcare System in Pakistan: A Retrospective Cross-Sectional Study. PLoS Glob. Public Health 2023, 3, e0001746. [Google Scholar] [CrossRef]
  87. Raza, M.; Giri, P.; Basu, S. Surveillance and Return to Work of Healthcare Workers Following SARS-CoV-2 Omicron Variant Infection, Sheffield, England, 17 January to 7 February 2022. Eurosurveillance 2022, 27, 2200164. [Google Scholar] [CrossRef]
  88. Bouton, T.C.; Atarere, J.; Turcinovic, J.; Seitz, S.; Sher-Jan, C.; Gilbert, M.; White, L.; Zhou, Z.; Hossain, M.M.; Overbeck, V.; et al. Viral Dynamics of Omicron and Delta SARS-CoV-2 Variants with Implications for Timing of Release from Isolation: A Longitudinal Cohort Study. Clin. Infect. Dis. 2023, 76, e227–e233. [Google Scholar] [CrossRef]
  89. Bays, D.; Whiteley, T.; Pindar, M.; Taylor, J.; Walker, B.; Williams, H.; Finnie, T.J.R.; Gent, N. Mitigating Isolation: The Use of Rapid Antigen Testing to Reduce the Impact of Self-Isolation Periods 2021. medRxiv 2021. [Google Scholar] [CrossRef]
  90. Mowrer, C.T.; Creager, H.; Cawcutt, K.; Birge, J.; Lyden, E.; Schooneveld, T.C.V.; Rupp, M.E.; Hewlett, A. Evaluation of Cycle Threshold Values at Deisolation. Infect. Control Hosp. Epidemiol. 2022, 43, 794–796. [Google Scholar] [CrossRef] [PubMed]
  91. Pei, L.; Chen, Y.; Zheng, X.; Gong, F.; Liu, W.; Lin, J.; Zheng, R.; Yang, Z.; Bi, Y.; Chen, E. Comorbidities Prolonged Viral Shedding of Patients Infected with SARS-CoV-2 Omicron Variant in Shanghai: A Multi-Center, Retrospective, Observational Study. J. Infect. Public Health 2023, 16, 182–189. [Google Scholar] [CrossRef] [PubMed]
  92. Zhou, X.; Huang, X.; Sun, T.; Jin, X.; Tian, Z.; Xue, M.; Kang, J.; Gao, B.; Xu, A.; Chen, Y.; et al. Chronological Changes of Viral Shedding in Adult Inpatients with Omicron Infection in Shanghai, China. Front. Immunol. 2023, 14, 1090498. [Google Scholar] [CrossRef] [PubMed]
  93. Yan, D.; Zhang, X.; Chen, C.; Jiang, D.; Liu, X.; Zhou, Y.; Huang, C.; Zhou, Y.; Guan, Z.; Ding, C.; et al. Characteristics of Viral Shedding Time in SARS-CoV-2 Infections: A Systematic Review and Meta-Analysis. Front. Public Health 2021, 9, 652842. [Google Scholar] [CrossRef] [PubMed]
  94. Takahashi, K.; Ishikane, M.; Ujiie, M.; Iwamoto, N.; Okumura, N.; Sato, T.; Nagashima, M.; Moriya, A.; Suzuki, M.; Hojo, M.; et al. Duration of Infectious Virus Shedding by SARS-CoV-2 Omicron Variant–Infected Vaccinees. Emerg. Infect. Dis. 2022, 28, 998–1001. [Google Scholar] [CrossRef] [PubMed]
  95. Rhee, C.; Kanjilal, S.; Baker, M.; Klompas, M. Duration of SARS-CoV-2 Infectivity: When Is It Safe to Discontinue Isolation? Clin. Infect. Dis. 2020, 72, 1467–1474. [Google Scholar] [CrossRef] [PubMed]
  96. Singanayagam, A.; Patel, M.; Charlett, A.; Bernal, J.L.; Saliba, V.; Ellis, J.; Ladhani, S.; Zambon, M.; Gopal, R. Duration of Infectiousness and Correlation with RT-PCR Cycle Threshold Values in Cases of COVID-19, England, January to May 2020. Eurosurveillance 2020, 25, 2001483. [Google Scholar] [CrossRef] [PubMed]
  97. Kang, S.-W.; Kim, J.Y.; Park, H.; Lim, S.Y.; Kim, J.; Chang, E.; Bae, S.; Jung, J.; Kim, M.J.; Chong, Y.P.; et al. Comparison of Secondary Attack Rate and Viable Virus Shedding between Patients with SARS-CoV-2 Delta and Omicron Variants: A Prospective Cohort Study. J. Med. Virol. 2023, 95, e28369. [Google Scholar] [CrossRef]
  98. Choi, G.; Lim, A.-Y.; Choi, S.; Park, K.; Lee, S.Y.; Kim, J.-H. Viral Shedding Patterns of Symptomatic SARS-CoV-2 Infections by Periods of Variant Predominance and Vaccination Status in Gyeonggi Province, Korea. Epidemiol. Health 2023, 45, e2023008. [Google Scholar] [CrossRef]
  99. Maya, S.; Kahn, J.G. COVID-19 Testing Protocols to Guide Duration of Isolation: A Cost-Effectiveness Analysis. BMC Public Health 2023, 23, 864. [Google Scholar] [CrossRef]
  100. Pekosz, A.; Parvu, V.; Li, M.; Andrews, J.C.; Manabe, Y.C.; Kodsi, S.; Gary, D.S.; Roger-Dalbert, C.; Leitch, J.; Cooper, C.K. Antigen-Based Testing but Not Real-Time Polymerase Chain Reaction Correlates with Severe Acute Respiratory Syndrome Coronavirus 2 Viral Culture. Clin. Infect. Dis. 2021, 73, e2861–e2866. [Google Scholar] [CrossRef]
  101. Mitchell, S.L.; Loeffelholz, M.J. Considerations Regarding Interpretation of Positive SARS-CoV-2 Molecular Results with Late Cycle Threshold Values. J. Clin. Microbiol. 2022, 60, e00501-22. [Google Scholar] [CrossRef]
  102. Han, M.S.; Byun, J.-H.; Cho, Y.; Rim, J.H. RT-PCR for SARS-CoV-2: Quantitative versus Qualitative. Lancet Infect. Dis. 2021, 21, 165. [Google Scholar] [CrossRef]
  103. Nasa, P.; Azoulay, E.; Chakrabarti, A.; Divatia, J.V.; Jain, R.; Rodrigues, C.; Rosenthal, V.D.; Alhazzani, W.; Arabi, Y.M.; Bakker, J.; et al. Infection Control in the Intensive Care Unit: Expert Consensus Statements for SARS-CoV-2 Using a Delphi Method. Lancet Infect. Dis. 2022, 22, e74–e87. [Google Scholar] [CrossRef]
  104. Alfano, G.; Fontana, F.; Ferrari, A.; Morisi, N.; Gregorini, M.; Cappelli, G.; Magistroni, R.; Guaraldi, G.; Donati, G. Which Criteria Should We Use to End Isolation in Hemodialysis Patients with COVID-19? Clin. Kidney J. 2022, 15, 1450–1454. [Google Scholar] [CrossRef]
  105. Kim, C.S.; Kim, U.J.; Lee, Y.; Lee, U.; Choi, O.; Kim, S.-H.; Lee, K.; Chung, Y.-S.; Choi, H.S.; Bae, E.H.; et al. Nosocomial Outbreak of COVID-19 from a Kidney Transplant Patient: Necessity of a Longer Isolation Period in Immunocompromised Patients. Infect. Chemother. 2023, 55, 42–49. [Google Scholar] [CrossRef]
  106. Wong, S.-C.; Au, A.K.-W.; Lo, J.Y.-C.; Ho, P.-L.; Hung, I.F.-N.; To, K.K.-W.; Yuen, K.-Y.; Cheng, V.C.-C. Evolution and Control of COVID-19 Epidemic in Hong Kong. Viruses 2022, 14, 2519. [Google Scholar] [CrossRef]
  107. Liu, Y.; Rocklöv, J. The Effective Reproductive Number of the Omicron Variant of SARS-CoV-2 Is Several Times Relative to Delta. J. Travel Med. 2022, 29, taac037. [Google Scholar] [CrossRef]
  108. Theaux, C.; Martin, Y.; Montoto Piazza, L.; Wenk, G.; Notaristefano, G.; Miño, L.; Sevilla, M.E.; Aprea, V.; Claps, A.; Nabaes Jodar, M.; et al. Persistence of SARS-CoV-2 RNA Shedding and Infectivity in Immunized Population: Prospective Study along Different Epidemiological Periods in Argentina. PLoS ONE 2023, 18, e0285704. [Google Scholar] [CrossRef]
  109. Jung, J.; Kang, S.W.; Lee, S.; Park, H.; Kim, J.Y.; Kim, S.-K.; Park, S.; Lim, Y.-J.; Kim, E.O.; Lim, S.Y.; et al. Risk of Transmission of COVID-19 from Healthcare Workers Returning to Work after a 5-Day Isolation, and Kinetics of Shedding of Viable SARS-CoV-2 Variant B.1.1.529 (Omicron). J. Hosp. Infect. 2023, 131, 228–233. [Google Scholar] [CrossRef]
  110. Luna-Muschi, A.; Noguera, S.V.; Borges, I.C.; De Paula, A.V.; Côrtes, M.F.; Larocca, C.; Mari, J.F.; Guimarães, L.S.P.; Torres, P.M.; Scaccia, N.; et al. Characterization of Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant Shedding and Predictors of Viral Culture Positivity on Vaccinated Healthcare Workers with Mild Coronavirus Disease 2019. J. Infect. Dis. 2022, 226, 1726–1730. [Google Scholar] [CrossRef] [PubMed]
Figure 1. PRISMA diagram for search strategy.
Figure 1. PRISMA diagram for search strategy.
Viruses 16 01131 g001
Table 1. Severity of COVID-19 illness stratified according to symptoms, oxygen saturation, and chest imaging.
Table 1. Severity of COVID-19 illness stratified according to symptoms, oxygen saturation, and chest imaging.
MildModerateSevere
Respiratory symptomsSymptomatic, no lower respiratory tract symptomsLower respiratory tract symptoms presentLower respiratory tract symptoms present; often tachypneic > 30 breaths per minute
Oxygen saturationNormalNormal<94%
Chest imagingNormalAbnormalAbnormal, usually lung infiltrates > 50%
Table 2. Advantages and disadvantages of different SARS-CoV-2 testing modalities in deisolation protocols.
Table 2. Advantages and disadvantages of different SARS-CoV-2 testing modalities in deisolation protocols.
Advantages for Use in Deisolation ProtocolsDisadvantages for Use in Deisolation Protocols
Real-time polymerase chain reaction (RT-PCR)Fast turnaround time, multiple targets, and likely to be adaptable to future variantsUnable to distinguish between non-viable or non-replicating virus; prolonged period of positivity especially if immunocompromised
Rapid antigen detection (RAT)Especially rapid, inexpensive, point-of-care test. Reasonable specificity for transmissible virusAnalytical performance with future variants unknown; utility in cases of acute COVID-19 that are RT-PCR-positive but not RAT-positive is unclear
Viral cultureGold standard. Especially helpful for immunocompromised patientsLabour- and time-intensive, generally only available in reference laboratories
Table 3. Select papers focusing on deisolation or progress testing, with positivity rates of various testing methods.
Table 3. Select papers focusing on deisolation or progress testing, with positivity rates of various testing methods.
PaperPopulation AssessedTesting MethodPositivity (%) and Day (Post-Symptom Onset)Comments
Khan et al. [86]HCWs (n = 1216)RAT22% at day five
6% at day seven
Contributed 3799 additional days of work compared to 10-day isolation
Raza, Giri, and Basu [87]HCWs (n = 240)RAT36% at day sevenHCWs required two negative RATs, 24 h apart, prior to returning to work
Alshukairi et al. [39]HCWs (n = 480)RAT33% at day sevenAll HCWs had received ≥2 doses of vaccination
Bouton et al. [88]Patients (n = 92 for viral culture, n = 12 for RAT)RAT
Viral culture
RAT—75% at day five
Culture—71% positive at day six
Bays et al. [89]HCWs (mathematical modelling of n = 500,000)RAT21% at day sevenMathematical modelling
Mowrer et al. [90]Hospitalised patients (severe or immunocompromised, n = 23)RT-PCR Ct value ≥ 30 for 84% between days 14–21Percentages for Ct values ≥ 30; all patients PCR-positive at 21 days
Ct value ≥ 30 for 100% by day 21
La Scola et al. [35]Hospitalised patients (n = 183)Viral cultureReportedly none positive after day eightCulture negativity associated with RT-PCR Ct values ≥ 34
Van Kampen et al. [34]Hospitalised patients (n = 129)Viral cultureMean duration of positivity is eight days (IQR 5–11 days)
HCWs: Healthcare workers; RAT: rapid antigen test; RT-PCR: reverse transcription polymerase chain reaction; IQR: interquartile range; Ct: cycle threshold value.
Table 4. Summary of recommendations for deisolation or return to work.
Table 4. Summary of recommendations for deisolation or return to work.
COVID-19-Infected
Individual
Immune StatusDisease SeveritySymptom CriteriaTesting CriteriaRelease from Isolation or Return to WorkComments
PatientImmunocompetentAsymptomatic, mild, or moderateAsymptomatic by day five.Negative RAT or RT-PCR test on day six or sevenSame day as negative RAT or RT-PCR test OR after day 10 without testing.
PatientImmunocompetentSevere or critical diseaseResolution of fever and significant respiratory symptoms. Cough and lethargy may persist.RAT or RT-PCR test on day 10Following negative test on day 10 OR after day 20 without testing.
PatientImmunocompromisedAnyResolution of fever and significant respiratory symptoms. Cough and lethargy may persist.Testing to start on day 14 post-symptom onset; two negative RATs or RT-PCR tests, taken 24 h apart.Following second negative RAT or RT-PCR testMasks should be worn until at least day 20 post-symptom onset.
Healthcare workerImmunocompetentN/AResolution of fever and significant respiratory symptoms. Dry cough and lethargy should not preclude return to work.Negative RAT (or RT-PCR test) on day sixDay sevenWear surgical masks in patient-facing settings until day 10.
Healthcare workerImmunocompromisedN/AResolution of fever and significant respiratory symptoms.Two negative RATs (or RT-PCR tests) taken 24 h apart, first when clinically improvedFollowing second negative testConsider non-patient facing alternatives to work if well but ongoing shedding.
RAT: rapid antigen test; RT-PCR: reverse transcription polymerase chain reaction.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Baumgart, S.W.L.; McLachlan, A.; Kenny, H.; McKew, G.; Maddocks, S.; Chen, S.C.-A.; Kok, J. Deisolation in the Healthcare Setting Following Recent COVID-19 Infection. Viruses 2024, 16, 1131. https://doi.org/10.3390/v16071131

AMA Style

Baumgart SWL, McLachlan A, Kenny H, McKew G, Maddocks S, Chen SC-A, Kok J. Deisolation in the Healthcare Setting Following Recent COVID-19 Infection. Viruses. 2024; 16(7):1131. https://doi.org/10.3390/v16071131

Chicago/Turabian Style

Baumgart, Samuel W. L., Aidan McLachlan, Hayden Kenny, Genevieve McKew, Susan Maddocks, Sharon C.-A. Chen, and Jen Kok. 2024. "Deisolation in the Healthcare Setting Following Recent COVID-19 Infection" Viruses 16, no. 7: 1131. https://doi.org/10.3390/v16071131

APA Style

Baumgart, S. W. L., McLachlan, A., Kenny, H., McKew, G., Maddocks, S., Chen, S. C. -A., & Kok, J. (2024). Deisolation in the Healthcare Setting Following Recent COVID-19 Infection. Viruses, 16(7), 1131. https://doi.org/10.3390/v16071131

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop