Abnormal Alpha-1 Antitrypsin Levels and Other Risk Factors Associated with Lung Function Impairment at 6 and 12 Months after Hospitalization Due to COVID-19: A Cohort Study
Abstract
:1. Introduction
2. Material and Methods
2.1. Study Design
2.2. Study Population
2.3. Study Variables
2.3.1. During Hospitalization
2.3.2. During follow-up
2.4. Statistical Analysis
3. Results
3.1. Association between the Patients Clinical Characteristics and Lung Function 12 Months after Hospital Discharge
3.2. Lung Function at 6 and 12 Months after Hospitalization
3.3. Association between AAT Levels and Genotyping and Functional Recovery
4. Discussion
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Centers for Disease Control and Prevention (CDC). Post-COVID Conditions: Information for Healthcare Providers. Available online: https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-care/post-covid-conditions.html (accessed on 21 April 2022).
- Soriano, J.B.; Murthy, S.; Marshall, J.C.; Relan, P.; Diaz, J.V. A clinical case definition of post-COVID-19 condition by a Delphi consensus. Lancet. Infect. Dis. 2022, 22, e102–e107. [Google Scholar] [CrossRef]
- Burrell, C.J.; Howard, C.R.; Murphy, F.A. Viral syndromes. In Fenner and White’s Medical Virology, 5th ed.; Academic Press: Cambridge, MA, USA, 2016; pp. 537–556. [Google Scholar]
- Hsu, H.-H.; Tzao, C.; Wu, C.-P.; Chang, W.-C.; Tsai, C.-L.; Tung, H.-J.; Chen, C.-Y. Correlation of high-resolution CT, symptoms, and pulmonary function in patients during recovery from severe acute respiratory syndrome. Chest 2004, 126, 149–158. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ngai, J.C.; Ko, F.W.; Ng, S.S.; To, K.-W.; Tong, M.; Hui, D.S. The long-term impact of severe acute respiratory syndrome on pulmonary function, exercise capacity and health status. Respirology 2010, 15, 543–550. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Centers for Disease Control and Prevention (CDC). Underlying Medical Conditions Associated with Higher Risk for Severe COVID-19: Information for Healthcare Professionals; Centers for Disease Control and Prevention (CDC): Atlanta, GA, USA, 2022.
- You, J.; Zhang, L.; Ni-Jia-Ti, M.-Y.-d.-L.; Zhang, J.; Hu, F.; Chen, L.; Dong, Y.; Yang, K.; Zhang, B.; Zhang, S. Anormal pulmonary function and residual CT abnormalities in rehabilitating COVID-19 patients after discharge. J. Infect. 2020, 81, e150–e152. [Google Scholar] [CrossRef] [PubMed]
- Torres-Castro, R.; Vasconcello-Castillo, L.; Alsina-Restoy, X.; Solis-Navarro, L.; Burgos, F.; Puppo, H.; Vilaró, J. Respiratory function in patients post-infection by COVID-19: A systematic review and meta-analysis. Pulmonology 2021, 27, 328–337. [Google Scholar] [CrossRef]
- American Thoracic Society; European Respiratory Society, American Thoracic Society. European Respiratory Society statement: Standards for the diagnosis and management of individuals with alpha-1 antitrypsin deficiency. Am. J. Respir. Crit. Care Med. 2003, 168, 818–900. [Google Scholar] [CrossRef]
- Bai, X.; Hippensteel, J.; Leavitt, A.; Maloney, J.P.; Beckham, D.; Garcia, C.; Li, Q.; Freed, B.M.; Ordway, D.; Sandhaus, R.A.; et al. Hypothesis: Alpha-1-antitrypsin is a promising treatment option for COVID-19. Med. Hypotheses 2021, 146, 110394. [Google Scholar] [CrossRef]
- Shapira, G.; Shomron, N.; Gurwitz, D. Ethnic differences in alpha-1 antitrypsin deficiency allele frequencies may partially explain national differences in COVID-19 fatality rates. FASEB J. 2020, 34, 14160–14165. [Google Scholar] [CrossRef]
- Vianello, A.; Braccioni, F. Geographical Overlap Between Alpha-1 Antitrypsin Deficiency and COVID-19 Infection in Italy: Casual or Causal? Arch. De Bronconeumol. 2020, 56, 609–610. [Google Scholar] [CrossRef]
- Ren, Y.; He, Q.-Y.; Fan, J.; Jones, B.; Zhou, Y.; Xie, Y.; Cheung, C.-Y.; Wu, A.; Chiu, J.-F.; Peiris, J.S.M.; et al. The use of proteomics in the discovery of serum biomarkers from patients with severe acute respiratory syndrome. Proteomics 2004, 4, 3477–3484. [Google Scholar] [CrossRef]
- Tinku, J. International Pulmonologist’s Consensus on COVID-19. Ebook. Available online: https://www.drtinkujoseph.com/uploads/220420030051COVID-19_UPDATE.pdf (accessed on 22 April 2020).
- Arentz, M.; Yim, E.; Klaff, L.; Lokhandwala, S.; Riedo, F.X.; Chong, M.; Lee, M. Characteristics and Outcomes of 21 Critically Ill Patients With COVID-19 in Washington State. JAMA 2020, 323, 1612–1614. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hansell, D.M.; Bankier, A.A.; MacMahon, H.; McLoud, T.C.; Müller, N.L.; Remy, J. Fleischner Society: Glossary of Terms for Thoracic Imaging. Radiology 2008, 246, 697–722. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bai, H.X.; Hsieh, B.; Xiong, Z.; Halsey, K.; Choi, J.W.; Tran, T.M.L.; Pan, I.; Shi, L.-B.; Wang, D.-C.; Mei, J.; et al. Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT. Radiology 2020, 296, E46–E54. [Google Scholar] [CrossRef] [Green Version]
- García-Río, F.; Calle, M.; Burgos, F.; Casan, P.; del Campo, F.; Galdiz, J.B.; Giner, J.; González-Mangado, N.; Ortega, F.; Puente Maestu, L. Espirometría. Arch. De Bronconeumol. 2013, 49, 388–401. [Google Scholar] [CrossRef] [PubMed]
- Graham, B.L.; Brusasco, V.; Burgos, F.; Cooper, B.G.; Jensen, R.; Kendrick, A.; MacIntyre, N.R.; Thompson, B.R.; Wanger, J. ERS/ATS standards for single-breath carbon monoxide uptake in the lung. Eur. Respir. J. 2017, 49, 1600016. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sanders, C.L.; Ponte, A.; Kueppers, F. The Effects of Inflammation on Alpha 1 Antitrypsin Levels in a National Screening Cohort. COPD J. Chronic Obstr. Pulm. Dis. 2018, 15, 10–16. [Google Scholar] [CrossRef]
- Lopez-Campos, J.L.; Casas-Maldonado, F.; Torres-Duran, M.; Medina-Gonzálvez, A.; Rodriguez-Fidalgo, M.L.; Carrascosa, I.; Calle, M.; Osaba, L.; Rapun, N.; Drobnic, E.; et al. Results of a Diagnostic Procedure Based on Multiplex Technology on Dried Blood Spots and Buccal Swabs for Subjects With Suspected Alpha1 Antitrypsin Deficiency. Arch. De Bronconeumol. 2021, 57, 42–50. [Google Scholar] [CrossRef]
- Jiménez-Rodríguez, B.M.; Gutiérrez-Fernández, J.; Ramos-Urbina, E.M.; Romero-Ortiz, A.D.; García-Flores, P.I.; Santiago-Puertas, M.I.; Martín-López, M.J.; López-Milena, G.; Fabregas, R.; Morales-García, C. On the single and multiple associations of COVID-19 post-acute sequelae: 6-month prospective cohort study. Sci. Rep. 2022, 12, 3402. [Google Scholar] [CrossRef]
- Tabernero Huguet, E.; Urrutia Gajarte, A.; Ruiz Iturriaga, L.A.; Serrano Fernandez, L.; Marina Malanda, N.; Iriberri Pascual, M.; Zalacain Jorge, R. Pulmonary Function in Early Follow-up of patients with COVID-19 Pneumonia. Arch. De Bronconeumol. 2021, 57, 75–76. [Google Scholar] [CrossRef]
- Wu, C.; Chen, X.; Cai, Y.; Xia, J.A.; Zhou, X.; Xu, S.; Huang, H.; Zhang, L.; Zhou, X.; Du, C.; et al. Risk Factors Associated with Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern. Med. 2020, 180, 934–943. [Google Scholar] [CrossRef]
- Zhou, F.; Yu, T.; Du, R.; Fan, G.; Liu, Y.; Liu, Z.; Xiang, J.; Wang, Y.; Song, B.; Gu, X.; et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. Lancet 2020, 395, 1054–1062. [Google Scholar] [CrossRef]
- Wu, X.; Liu, X.; Zhou, Y.; Yu, H.; Li, R.; Zhan, Q.; Ni, F.; Fang, S.; Lu, Y.; Ding, X.; et al. 3-month, 6-month, 9-month, and 12-month respiratory outcomes in patients following COVID-19-related hospitalisation: A prospective study. Lancet Respir Med. 2021, 9, 747–754. [Google Scholar] [CrossRef]
- Liu, T.; Wu, D.; Yan, W.; Wang, X.; Zhang, X.; Ma, K.; Chen, H.; Zeng, Z.; Qin, Y.; Wang, H.; et al. Twelve-Month Systemic Consequences of Coronavirus Disease 2019 (COVID-19) in Patients Discharged from Hospital: A Prospective Cohort Study in Wuhan, China. Clin. Infect. Dis. 2021, 74, 1953–1965. [Google Scholar] [CrossRef] [PubMed]
- Huang, L.; Yao, Q.; Gu, X.; Wang, Q.; Ren, L.; Wang, Y.; Hu, P.; Guo, L.; Liu, M.; Xu, J.; et al. 1-year outcomes in hospital survivors with COVID-19: A longitudinal cohort study. Lancet 2021, 398, 747–758. [Google Scholar] [CrossRef]
- Blanco, I. Alpha-1 Antitrypsin Gene, Genetic Heritage, Phenotypes, and Genotypes. In Blanco’s Overview of Alpha-1 Antitrypsin Deficiency; Elsevier: Amsterdam, The Netherlands, 2017; pp. 39–49. [Google Scholar]
- Schneider, C.V.; Strnad, P. SARS-CoV-2 infection in alpha1-antitrypsin deficiency. Respir Med. 2021, 184, 106466. [Google Scholar] [CrossRef] [PubMed]
Baseline Characteristics | Lung Function at 12 Months [Mean ± SD or n (%)] | p-Value | |
---|---|---|---|
Normal (n = 108) | Impaired (n = 49) | ||
Age | 57.4 ± 12.5 | 62.4 ± 13.0 | 0.026 |
Male | 68 (63) | 25 (51) | 0.272 |
Smoking history: | 0.201 | ||
Active smoker | 6 (5.6) | 3 (6.1) | |
Never smoked | 64 (59.3) | 25 (51) | |
Former smoker | 38 (35.2) | 21 (35.6) | |
Cumulative smoking burden index (smokers and former smokers) | 11.3 ± 19.9 | 14.8 ± 24.9 | 0.039 |
BMI (kg/m2) | 29.4 ± 5.0 | 29.1 ± 5.0 | 0.938 |
Previous medical history | |||
≥2 baseline comorbidities | 37 (34.3) | 31 (63.3) | 0.006 |
HBP | 45 (41.7) | 25 (51) | 0.413 |
DM2 | 10 (9.3) | 13 (26.5) | 0.006 |
Dyslipidemia | 23 (21.5) | 14 (28.6) | 0.599 |
Coronary heart disease | 3 (2.8) | 1 (2) | 0.075 |
Cardiac arrhythmias | 4 (3.7) | 4 (8.2) | 0.715 |
Cerebrovascular disease | 2 (1.9) | 3 (6.1) | 0.391 |
Baseline respiratory comorbidities | 22 (20.4) | 20 (40.8) | 0.008 |
COPD | 3 (2.8) | 8 (16.3) | 0.006 |
Baseline liver disease | 3 (2.8) | 2 (4.1) | 0.638 |
Chronic kidney disease | 6 (5.6) | 4 (8.2) | 0.633 |
Active cancer | 1 (2%) | 1 (0.6%) | 0.401 |
Previous cancer history < 5 years | 5 (4.7) | 5 (10.2) | 0.526 |
Charlson index ≥ 3 | 32 (29.6) | 32 (65.3) | 0.002 |
Signs and symptoms on admission | |||
Fever (>37.5 °C) | 103 (72.5) | 39 (79.6) | 0.002 |
Dyspnoea | 62 (57.9) | 39 (79.6) | 0.010 |
Cough | 79 (73.8) | 38 (77.6) | 0.638 |
Exhaustion | 83 (77.6) | 31 (63.3) | 0.064 |
Musculoskeletal pain | 60 (56.1) | 17 (35.4) | 0.019 |
Anosmia/ageusia | 24 (22.4) | 13 (26.5) | 0.449 |
Gastrointestinal symptoms | 27 (64.3) | 15 (30.6) | 0.441 |
Cardiac symptoms | 4 (3.7) | 3 (6.1) | 0.441 |
Neurological symptoms | 16 (15) | 8 (16.3) | 0.754 |
Dermatological symptoms | 1 (0.9) | 1 (2.0) | 0.270 |
ARDS (PaO2/FiO2 < 300 mmHg) | 21 (19.6) | 19 (38.8) | 0.012 |
Hospitalization | |||
Mean length of stay (days) | 9.9 ± 11.2 | 14.8 ± 14.0 | 0.043 |
Pneumonia on admission | 101 (93.5) | 41 (83.7) | 0.047 |
Characteristics of pneumonia on chest X-ray (n = 142) | |||
-Density: | |||
| 25 (24.8) | 13 (31.7) | 0.247 |
| 19 (18.8) | 5 (12.2) | |
| 57 (56.4) | 23 (56.1) | |
-Distribution: | |||
| 6 (5.9) | 8 (19.5) | 0.047 |
| 68 (67.3) | 17 (41.5) | |
| 27 (26.7) | 16 (39) | |
-Location: | |||
| 10 (9.9) | 5 (12.2) | 0.505 |
| 91 (90.1) | 36 (87.8) | |
-Involvement: | |||
| 9 (8.9) | 3 (7.3) | 0.827 |
| 92 (91.1) | 38 (92.7) | |
Admission to the ICU | 3 (2.8) | 6 (12.2) | 0.030 |
Endotracheal intubation (ETI) | 2 (1.9) | 6 (12.2) | 0.017 |
Treatment received: | |||
| 39 (58.2) | 28 (41.8) | 0.019 |
| 92 (68.1) | 43 (31.9) | 0.625 |
| 7 (43.8) | 9 (56.3) | 0.031 |
| 3 (75) | 1 (25) | 0.679 |
| 102 (69.4) | 45 (30.6) | 0.182 |
Covariate | OR a | p-Value | 95% CI for OR | Explained Variance, R2 |
---|---|---|---|---|
(A) Univariate logistic regression analysis | ||||
Age | 1.032 | 0.026 | 1.004–1.061 | 0.046 |
Charlson index | 1.421 | <0.001 | 1.186–1.703 | 0.139 |
≥2 comorbidities | 3.305 | 0.001 | 1.635–6.680 | 0.100 |
DM2 | 3.539 | 0.006 | 1.426–8.779 | 0.065 |
Heart disease | 2.833 | 0.075 | 0.899–8.931 | 0.028 |
Lung disease | 2.696 | 0.008 | 1.290–5.636 | 0.061 |
COPD | 6.829 | 0.006 | 1.727–27.013 | 0.075 |
Signs and symptoms on admission | ||||
Fever | 0.151 | 0.002 | 0.045–0.511 | 0.091 |
Dyspnoea | 2.831 | 0.010 | 1.280–6.260 | 0.064 |
Asthenia | 0.498 | 0.064 | 0.238–1.041 | 0.030 |
Myalgia | 0.430 | 0.019 | 0.212–0.869 | 0.051 |
X-ray distribution | 0.095 | |||
Peripheral | Ref | |||
Central | 5.333 | 0.006 | 1.632–17.434 | |
Mixed | 2.370 | 0.038 | 1.049–5.357 | |
Haemoglobin (g/dL) | 0.780 | 0.017 | 0.636–0.956 | 0.054 |
Leucocytes (count ×103/µL) | 1.172 | 0.011 | 1.037–1.324 | 0.061 |
Neutrophils (count ×103/µL) | 1.175 | 0.024 | 1.022–1.352 | 0.051 |
Lymphocytes (%) | 0.957 | 0.044 | 0.916–0.999 | 0.041 |
NLR | 1.144 | 0.006 | 1.040–1.259 | 0.080 |
Platelets (count ×103/µL) | 1.004 | 0.012 | 1.001–1.008 | 0.061 |
Hospitalization | ||||
ICU admission | 4.884 | 0.030 | 1.168–20.420 | 0.045 |
ETI | 7.395 | 0.017 | 1.436–38.089 | 0.060 |
ARDS | 2.594 | 0.012 | 1.229–5.474 | 0.055 |
Corticosteroid therapy | 2.291 | 0.019 | 1.149–4.566 | 0.050 |
Corticosteroid boluses | 3.665 | <0.001 | 1.765–7.612 | 0.107 |
Tocilizumab | 3.182 | 0.031 | 1.109–9.128 | 0.041 |
Haemoglobin (g/dL) | 0.759 | 0.008 | 0.620–0.930 | 0.076 |
Albumin (g/dL) | 0.439 | 0.048 | 0.195–0.991 | 0.043 |
LDH (U/L) | 1.004 | 0.011 | 1.001–1.007 | 0.065 |
Procalcitonin | 10.160 | 0.052 | 0.982–105.105 | 0.062 |
IL-6 (pg/mL) | 1.107 | 0.090 | 0.997–1.036 | 0.120 |
LTOT | 4.921 | 0.003 | 1.701–14.235 | 0.080 |
Length of hospital stay (days) | 1.003 | 0.043 | 1.001–1.066 | 0.045 |
Follow-up | ||||
Haemoglobin (g/dL) | 0.763 | 0.012 | 0.619–0.941 | 0.061 |
Platelets (count ×103/µL) | 1.005 | 0.028 | 1.001–1.010 | 0.051 |
LDH (U/L) | 1.011 | 0.017 | 1.002–1.021 | 0.063 |
Ferritin (ng/mL) | 0.995 | 0.023 | 0.991–0.999 | 0.065 |
Troponin (ng/L) | 0.782 | 0.007 | 0.654–0.934 | 0.100 |
Vitamin D (ng/mL) | 0.955 | 0.058 | 0.910–1.002 | 0.042 |
Abnormal respiratory sounds | 7.186 | 0.018 | 1.395–37.023 | 0.059 |
(B) Multivariate logistic regression analysis | ||||
Charlson index | 1.336 | 0.030 | 1.029–1.735 | 0.534 |
X-ray distribution | ||||
Peripheral | Ref | |||
Central | 10.820 | 0.004 | 2.093–55.934 | |
Mixed | 4.855 | 0.014 | 1.374–17.154 | |
Admission haemoglobin (g/dL) | 0.604 | 0.006 | 0.422–0.864 | |
ICU admission | 33.184 | 0.012 | 2.180–505.072 | |
Methylprednisolone boluses | 3.447 | 0.043 | 1.039–11.433 | |
Follow-up LDH (U/L) | 1.025 | 0.004 | 1.008–1.042 | |
Abnormal respiratory sounds | 15.157 | 0.027 | 1.011–227.244 |
Respiratory Function Parameters | At 6 Month (n = 67) (Mean ± SD) | At 12 Month (n = 49) (Mean ± SD) | Difference (Mean ± SD) | 95% CI | p-Value |
---|---|---|---|---|---|
FVC (%) | 91.2 ± 17.5 | 92.2 ± 19.7 | −0.98 ± 12.4 | −4.340–2.369 | 0.558 |
FEV1 (%) | 87.1 ± 20.3 | 90.8 ± 21.6 | −3.6 ± 16.0 | −7.958–0.708 | 0.099 |
FEV1/FVC | 75.0 ± 11.5 | 77.4 ± 10.2 | −2.4 ± 9.4 | −4.909–0.176 | 0.067 |
TLC (%) | 98.0 ± 18.4 | 102.6 ± 21.9 | −4.6 ± 14.6 | −8.671–0.555 | 0.027 |
DLCO (%) | 73.6 ± 19.0 | 76.6 ± 13.5 | −2.9 ± 17.6 | −7.925–2.069 | 0.245 |
KCO (%) | 92.3 ± 20.8 | 95.1 ± 16.1 | −2.8 ± 17.9 | −7.866–2.282 | 0.274 |
RV (%) | 100.4 ± 30.8 | 105.6 ± 47.0 | −5.3 ± 38.4 | −15.96–5.41 | 0.327 |
Distance 6MWT (m) | 466.4 ± 107.9 | 430.0 ± 114.7 | 36.4 ± 79.9 | 12.95–59.89 | 0.003 |
Initial SaO2 6MWT %) | 96.5 ± 1.8 | 95.8 ± 2.4 | 0.71 ± 2.6 | −0.040–1.456 | 0.063 |
Final SaO2 6MWT %) | 93.7 ± 4.0 | 92.7 ± 4.2 | 1.0 ± 3.3 | 0.000–1.917 | 0.05 |
Initial—final SaO2 6MWT (%) | 2.9 ± 4.2 | 3.2 ± 4.3 | −0.25 ± 4.1 | −1.452–0.952 | 0.677 |
AAT Levels (mg/dL) | Genotype | |||||||
---|---|---|---|---|---|---|---|---|
Normal | Abnormal | p-Value | Pi*MM | Pi*MS | Pi*MZ | Pi*MP Lowell | p-Value | |
(A) Abnormal PFT (mean ± SD) at 6 months (N = 66) | ||||||||
FEV1 % | 99.9 ± 17.8 | 69.9 ± 22.8 | 0.020 | 100.4 ± 18.7 | 92.1 ± 17.2 | 78.9 ± 35.4 | 114.8 | 0.086 |
FVC % | 106.7 ± 76.0 | 79.7 ± 10.9 | 0.618 | 101.0 ± 16.4 | 134.0 ± 183.9 | 86.3 ± 20.2 | 113.7 | 0.244 |
FEV1/FVC % | 78.4 ± 7.0 | 66.4 ± 13.6 | 0.018 | 78.0 ± 8.1 | 77.0 ± 9.1 | 69.8 ± 18.5 | 79.1 | 0.549 |
TLC % | 102.9 ± 14.8 | 79.5 ± 19.1 | 0.029 | 103.5 ± 14.7 | 102.6 ± 16.3 | 74.9 ± 12.5 | 107.8 | 0.065 |
DLCO % | 88.6 ± 22.1 | 80.4 ± 40.7 | 0.607 | 89.5 ± 22.2 | 85.2 ± 19.8 | 47.7 ± 5.6 | 103.4 | 0.045 |
KCO % | 100.2 ± 17.7 | 110.0 ± 25.5 | 0.438 | 99.9 ± 18.0 | 100.1 ± 17.4 | 79.4 ± 17.8 | 109.4 | 0.414 |
RV % | 102.1 ± 26.4 | 76.8 ± 22.9 | 0.181 | 100.4 ± 24.8 | 114.2 ± 36.1 | 69.5 ± 12.6 | 93.1 | 0.055 |
6MWT Distance (m) | 507.0 ± 110.3 | 568.5 ± 115.3 | 0.436 | 516.0 ± 100.8 | 494.5 ± 115.1 | 306.0 ± 256.0 | - | 0.040 |
6MWT Initial SaO2 (%) | 96.5 ± 1.5 | 95.5 ± 2.1 | 0.346 | 96.6 ± 1.6 | 96.6 ± 1.5 | 95.0 ± 2.8 | - | 0.567 |
6MWT Final SaO2 (%) | 95.0 ± 3.8 | 91.5 ± 5.0 | 0.198 | 95.0 ± 3.9 | 95.0 ± 3.9 | 89.5 ± 2.1 | - | 0.224 |
(B) Abnormal PFT (mean ± SD) at 12 months (N = 49) | ||||||||
FEV1 % | 95.9 ± 20.4 | 69.4 ± 23.6 | 0.075 | 97.0 ± 19.7 | 94.1 ± 24.1 | 64.1 ± 16.6 | - | 0.083 |
FVC % | 77.7 ± 9.2 | 64.9 ± 14.4 | 0.257 | 98.3 ± 19.5 | 95.6 ± 19.8 | 71.1 ± 2.8 | - | 0.149 |
FEV1/FVC % | 96.9 ± 2.3 | 81.3 ± 8.2 | 0.059 | 77.6 ± 8.9 | 76.7 ± 13.0 | 70.8 ± 22.8 | - | 0.616 |
TLC %, SD | 104.9 ± 20.1 | 75.0 ± 12.2 | 0.041 | 105.7 ± 20.5 | 100.6 ± 16.7 | 74.9 ± 12.2 | - | 0.087 |
DLCO %, SD | 82.7 ± 15.1 | 75.5 ± 40.2 | 0.525 | 82.8 ± 15.5 | 81.1 ± 11.0 | 47.0 | - | 0.067 |
KCO %, SD | 111.9 ± 118.7 | 101.6 ± 23.5 | 0.903 | 111.3 ± 117.1 | 98.0 ± 15.5 | 84.9 | - | 0.916 |
RV %, SD | 108.7 ± 41.8 | 59.9 ± 5.9 | 0.105 | 109.8 ± 42.3 | 92.2 ± 4 | 66.5 ± 15.3 | - | 0.196 |
6MWT Distance (m) | 442.8 ± 104.2 | 567.5 ± 24.7 | 0.098 | 443.3 ± 102.0 | 441.9 ± 107.0 | 550.0 | - | 0.588 |
6MWT Initial SaO2 (%) | 95.7 ± 2.2 | 97.5 ± 2.1 | 0.258 | 95.7 ± 2.3 | 95.5 ± 1.9 | 99.0 | - | 0.329 |
6MWT Final SaO2 (%) | 93.3 ± 3.9 | 94.5 ± 2.1 | 0.662 | 92.9 ± 4.0 | 94.6 ± 2.7 | 96.0 | - | 0.317 |
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Jiménez-Rodríguez, B.M.; Triviño-Ibáñez, E.M.; Gutiérrez-Fernández, J.; Romero-Ortiz, A.D.; Ramos-Urbina, E.M.; Morales-García, C. Abnormal Alpha-1 Antitrypsin Levels and Other Risk Factors Associated with Lung Function Impairment at 6 and 12 Months after Hospitalization Due to COVID-19: A Cohort Study. Healthcare 2022, 10, 2341. https://doi.org/10.3390/healthcare10122341
Jiménez-Rodríguez BM, Triviño-Ibáñez EM, Gutiérrez-Fernández J, Romero-Ortiz AD, Ramos-Urbina EM, Morales-García C. Abnormal Alpha-1 Antitrypsin Levels and Other Risk Factors Associated with Lung Function Impairment at 6 and 12 Months after Hospitalization Due to COVID-19: A Cohort Study. Healthcare. 2022; 10(12):2341. https://doi.org/10.3390/healthcare10122341
Chicago/Turabian StyleJiménez-Rodríguez, Beatriz María, Eva Maria Triviño-Ibáñez, José Gutiérrez-Fernández, Ana Dolores Romero-Ortiz, Eldis Maria Ramos-Urbina, and Concepción Morales-García. 2022. "Abnormal Alpha-1 Antitrypsin Levels and Other Risk Factors Associated with Lung Function Impairment at 6 and 12 Months after Hospitalization Due to COVID-19: A Cohort Study" Healthcare 10, no. 12: 2341. https://doi.org/10.3390/healthcare10122341
APA StyleJiménez-Rodríguez, B. M., Triviño-Ibáñez, E. M., Gutiérrez-Fernández, J., Romero-Ortiz, A. D., Ramos-Urbina, E. M., & Morales-García, C. (2022). Abnormal Alpha-1 Antitrypsin Levels and Other Risk Factors Associated with Lung Function Impairment at 6 and 12 Months after Hospitalization Due to COVID-19: A Cohort Study. Healthcare, 10(12), 2341. https://doi.org/10.3390/healthcare10122341