Laboratory Biomarkers in the Clinical Management of COVID-19 and Post-COVID-19 Conditions

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Laboratory Medicine".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 756

Special Issue Editors


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Guest Editor
Institute of Laboratory Medicine, German Heart Centre Munich, TUM School of Medicine, Technical University of Munich, 80636 Munich, Germany
Interests: molecular diagnostics; cardiac biomarkers; cancer biomarkers; immunological diagnostics; molecular oncology; tumor markers
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Guest Editor
Department of Sports Medicine, Rehabilitation and Disease Prevention, Institute of Sports Sciences, Johannes Gutenberg University of Mainz, Mainz, Germany
Interests: preventive medicine; sports medicine; exercise immunology; exercise science

Special Issue Information

Dear Colleagues,

During the COVID-19 pandemic, laboratory diagnostics created a considerable impact for i) the diagnosis of diseases, ii) the guidance of infected patients, and iii) the monitoring of the immune response after infection and vaccination. In everyday clinical diagnostics and in well-defined clinical trials, an enormous amount of data were collected that were helpful for the management of the pandemic and that still provide a lot of valuable insights for the preparation for new viral pandemics in the future. Thereby, the value of well-established laboratory parameters and the value of new molecular approaches for the characterization of the disease have been uncovered. However, a thoroughful evaluation of the abundant laboratory data is still ongoing in many places and deserves a platform for its focussed presentation. Therefore the aim of this Special Issue is to provide a comprehensive overview of studies on diagnostic markers that have shown great value for i) the early and accurate molecular diagnosis of the SARS CoV-2 virus via the use of diverse methods; ii) the diagnosis of COVID-19 disease and the estimation of the prognosis for the outcome of patients, particularly patients with diverse comorbidities; iii) the monitoring of disease courses and the early idenfitication of severe complications; iv) the time-related immune response to SARS CoV-2 infection; v) the humoral and cellular immune responses after the administration of diverse vaccinations in relation to predisposition, comorbidities, and side effects; vi) the identification of possible correlates of protection (COP) or predictions of risk (POR) for severe disease courses to define the period for timely booster vaccination; and finally, vii) the characterization of pathophysiological mechanisms that underly the development of long-COVID and biomarkers that support the prognosis and guidance of affected patients. Therefore, lab doctors, pathologists, researchers, and clinicians are encouraged to submit their findings as original articles or reviews to this Special Issue.

Prof. Dr. Stefan Holdenrieder
Prof. Dr. Perikles Simon
Guest Editors

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Keywords

  • COVID-19 pandemic
  • SARS CoV-2 detection
  • diagnostic and prognostic lab parameters
  • humoral and cellular immune response
  • therapy monitoring during infection
  • correlate of protection after vaccination
  • long-COVID

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Published Papers (1 paper)

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Research

11 pages, 538 KiB  
Article
Predictivity of the Prognostic Nutritional Index and Systemic Inflammation Index for All-Cause In-Hospital Mortality in Geriatric and Adult COVID-19 Inpatients
by Sibel Cavdar, Sumru Savas, Sezai Tasbakan, Abdullah Sayıner, Ozen Basoglu, Pervin Korkmaz and Fehmi Akcicek
J. Clin. Med. 2024, 13(15), 4466; https://doi.org/10.3390/jcm13154466 - 30 Jul 2024
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Abstract
Background: The prognostic nutritional index (PNI) and the systemic immune inflammation index (SII) have been used as simple risk-stratification predictors for COVID-19 severity and mortality in the general population. However, the associations between these indices and mortality might differ due to age-related changes [...] Read more.
Background: The prognostic nutritional index (PNI) and the systemic immune inflammation index (SII) have been used as simple risk-stratification predictors for COVID-19 severity and mortality in the general population. However, the associations between these indices and mortality might differ due to age-related changes such as inflammaging and several comorbid conditions in older patients. Therefore, we aimed to compare the predictivity of the PNI and SII for mortality among hospitalized older patients and patients under 65 years old. Methods: Patients hospitalized with COVID-19 from March 2020 to December 2020 were retrospectively included. The PNI and SII were calculated from hospital records within the first 48 h after admission. Data were evaluated in the whole group and according to age groups (≥65 < years). Receiver operating characteristic curves were drawn to evaluate the predictivity of the PNI and SII. Results: Out of 407 patients included in this study, 48.4% (n = 197) were older patients, and 51.6% (n = 210) were under 65 years old. For mortality, the area under the curve (AUC) of the PNI and SII in the adult group (<65 years) was 0.706 (95% CI 0.583–0.828) (p = 0.003) and 0.697 (95% CI 0.567–0.827) (p < 0.005), respectively. The AUC of the PNI and SII in the older group was 0.515 (95% CI 0.427–0.604) (p = 0.739) and 0.500 (95% CI 0.411–0.590) (p = 0.993). Conclusions: The accuracy of the PNI and SII in predicting mortality in adult COVID-19 patients seemed to be fair, but no association was found in geriatric patients in this study. The predictivity of the PNI and SII for mortality varies according to age groups. Full article
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