To the Editor:
As of December 22, more than 71 million cases of confirmed coronavirus disease (COVID-19) have been reported worldwide (1). After the acute phase, millions of patients will require follow-up for potential respiratory sequelae, among others. This will put a strain on the pulmonary function test (PFT) laboratories. A small few descriptive reports, with a hundred patients or fewer, have been published showing a considerable prevalence of altered diffusing capacity of the lung for carbon monoxide (Dl CO) percentage in survivors (2–4). However, it is unknown which clinical variables might be associated with the alteration of diffusion capacity after COVID-19. This work aims to identify clinical variables during the acute phase associated with Dl CO values in COVID-19 survivors in the follow-up.
This is a retrospective study including consecutive patients aged 18–84 years with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection discharged from the Pneumology Department, at La Fe University and Polytechnic Hospital in Valencia (Spain), from March 23 to August 20. All patients (N = 239) were referred to the follow-up clinic with an appointment for PFT, including forced spirometry and Dl CO by the single-breath method adjusted for hemoglobin. For the analysis, we classified patients as normal Dl CO (≥80% predicted) or altered Dl CO (<80% predicted) according to the Global Lung Function Initiative (5). We estimated Dl CO after COVID-19 admission using multiple linear regression analysis including key points such as demographics, preexisting conditions, inflammation, vascular alterations, and severity (those requiring intensive care unit [ICU] admission) based on their potential clinical relevance. The logarithm was applied to the peaks to avoid extreme data when appropriate.
We recruited 239 patients; however, 24 declined to attend follow-up clinic or did not perform the PFT maneuvers correctly, preventing their interpretation. Finally, 215 patients were included for the analysis. The median (first, third quartile) time from discharge to PFT was 87 (62–109) days. The results for FVC (forced vital capacity) % predicted value (pred), FEV1 (forced expiratory volume in 1 s) % pred, FEV1/FVC, Dl CO% pred, and Dl CO/alveolar volume % pred are presented in Table 1. Only 10 (4.7%) and 19 (8.8%) patients had FVC and FEV1 pred <80%, respectively. Of the 215 patients, 162 (75.3%) had a normal Dl CO and 53 (24.7%) an altered Dl CO. Among the latter (53), 40 (75.5%) had a mild alteration (60 to <80 Dl CO%), 13 (24.5%) moderate (40 to <60 Dl CO%), and none severe (<40 Dl CO%), respectively.
Table 1.
Baseline characteristics and altered diffusing capacity of the lung for carbon monoxide
| Variables | Total (N = 215) | Normal DlCO (N = 162) | Altered DlCO (N = 53) |
|---|---|---|---|
| Demographics | |||
| Age, yr | 55 (47, 66) | 54 (46, 65) | 59 (49, 68) |
| Male sex | 130 (60.5) | 106 (65.4) | 24 (45.3) |
| Smoking | |||
| Former or current | 64 (29.8) | 44 (27.2) | 20 (37.7) |
| Coexisting conditions | |||
| Hypertension | 67 (31.2) | 47 (29) | 20 (37.7) |
| Diabetes | 32 (14.9) | 26 (16) | 6 (11.3) |
| Dyslipidemia | 57 (26.5) | 41 (25.3) | 16 (30.2) |
| Chronic heart disease | 12 (5.6) | 7 (4.3) | 5 (9.4) |
| Chronic renal disease* | 3 (1.4) | 1 (0.6) | 2 (3.8) |
| Chronic respiratory disease † | 27 (12.6) | 19 (11.7) | 8 (15.1) |
| Radiological data | |||
| Number of lobes with infiltrates | 2 (1–4) | 2 (1–4) | 2 (1–4) |
| Analytical parameters | |||
| Peak CRP, mg/L ‡ | 89.5 (42.3–163.4) | 80.1 (41–154.8) | 110.3 (55.6–253.2) |
| Peak D-dimer, ng/ml ‡ | 941 (485–1,706) | 772.5 (437–1,530) | 1,295 (577–6,982) |
| Respiratory support | |||
| Need for supplemental oxygen | 111 (51.6) | 79 (48.8) | 32 (60.4) |
| Severity | |||
| ICU admission | 40 (18.6) | 19 (11.7) | 21 (39.6) |
| PFT | |||
| FVC, % | 106 (96–116) | 109 (99–116) | 100 (90–110) |
| FEV1, % | 103 (92–113) | 105 (96–115) | 96 (85–105) |
| FEV1/FVC | 78.9 (75.3–83.5) | 78.9 (75.5–83.5) | 78.9 (74.3–83.6) |
| DlCO, % | 88 (80–99) | 93 (85–103) | 70 (60–75) |
| DlCO/Va | 102 (90–112) | 105 (96–115) | 86 (80–90) |
Definition of abbreviations: CRP = C-reactive protein; Dl CO = diffusing capacity of the lung for carbon monoxide; FEV1 = forced expiratory volume in 1 second; FVC = forced vital capacity; ICU = intensive care unit; PFT = pulmonary function test; Va = alveolar volume.
Data are summarized as n (%) or median (first, third quartile), as appropriate.
Stage ≥2.
Four patients with chronic obstructive pulmonary disease, 16 with asthma, and 7 with other chronic respiratory diseases.
Maximum concentration during admission.
In Table 1, clinical variables are displayed in relation to altered Dl CO. Briefly, in our cohort the patients with altered Dl CO were mainly women and had more prevalence of smoking history, higher C-reactive protein and D-dimer concentration during admission, and more severe pneumonia. In the linear regression analysis, female sex, smoking history, and D-dimer levels were associated with lower Dl CO values (Table 2). Median Dl CO values for women (84 [74–93]), patients with smoking history (84 [74.5–96]), or those admitted to the ICU (78 [63–92.5]) were lower in comparison with men (91 [82–102]), never-smokers (88 [81–99]), and those with nonsevere pneumonia (88 [82–99]). In addition, from admission to pulmonary function tests appointment, pulmonary embolism was detected in 15 (7%) patients. ICU admission was more frequent in these patients (11/15 vs. 29/200; P < 0.001). These patients showed worse Dl CO values compared with those without pulmonary embolism diagnosis (74 [59–94] vs. 88 [81–99]; P = 0.025). The Spearman correlations between the peak of C-reactive protein and D-dimer levels with Dl CO were −0.127 (P = 0.062) and −0.238 (P < 0.001), respectively.
Table 2.
Multiple linear regression analysis for Dl CO percentage estimation after COVID-19 admission
| Variables | Estimate* | SE | 95% CI | P Value |
|---|---|---|---|---|
| Age | −0.07 | 0.1 | −0.27 to 0.12 | 0.455 |
| Male sex | 7.64 | 2.49 | 2.73 to 12.55 | 0.002 |
| Former or current smoking | −5.06 | 2.62 | −10.22 to 0.11 | 0.055 |
| Chronic respiratory disease | 1.91 | 3.64 | −5.26 to 9.08 | 0.599 |
| Log peak CRP | 0.131 | 2.85 | −5.49 to 5.75 | 0.964 |
| Log peak D-dimer | −7.20 | 2.80 | −12.72 to −1.69 | 0.011 |
| ICU admission | −6.26 | 4.09 | −14.32 to 1.81 | 0.128 |
Definition of abbreviations: CI = confidence interval; COVID-19 = coronavirus disease; CRP = C-reactive protein; Dl CO = diffusing capacity of the lung for carbon monoxide; ICU = intensive care unit; SE = standard error.
Estimated percentage point change in Dl CO.
In our study, we found lower prevalence of altered Dl CO (24.7%) compared with smaller studies such as Mo and colleagues (47.2%) and Shah and colleagues (52%) but more similar to that reported by Zhao and colleagues (16.4%, 9/55) in a cohort without severe cases (2, 4, 6). In the first one, PFT was performed before discharge, and in the last one, PFT was performed 3 months after discharge. Our data, together with these others, support the hypothesis that too early a functional assessment is likely to overestimate the chronic impact of disease on Dl CO.
We found sex differences n Dl CO that could be associated with sex-specific airway response to the disease as occurs in women with emphysema, who had thicker small airways (7, 8). In some studies, impaired Dl CO and persistence of symptoms was also more prevalent in women (4, 9), but these sex differences should be further explored and clarified. Chronic respiratory disease was not associated with worse Dl CO values. However, the patients were predominantly asthmatic and the prevalence of chronic obstructive pulmonary disease or interstitial lung diseases was low. On the other hand, smoking history was associated with poorer Dl CO, as expected. Finally, maximum D-dimer levels were also associated with lower diffusion capacity. Severe COVID-19 is associated with unspecific diffuse alveolar damage, characterized by edema, hemorrhage, and fibrin deposition (10). In addition, COVID-19 causes relevant vascular changes with characteristics of microangiopathy such as thrombosis, necrosis, or abnormal neoangiogenesis (10). This fact could be related to poorer Dl CO in survivors and should be prospectively evaluated in the long term.
Our study has several limitations. This is a single-center study with a limited number of cases, and further studies are needed to validate our findings. In addition, we lack previous functional data preventing its comparison. In any case, the model was adjusted for chronic respiratory disease and smoking history to overcome this limitation. Nonetheless, to the authors’ knowledge, this is the largest follow-up study with PFT evaluation in COVID-19.
In the last international guidance on the management of COVID-19, 60% of experts were in favor of routine posthospital PFT within 30–60 days regardless of the disease severity (11). An accurate early identification of patients requiring follow-up PFT is complex and larger studies are needed.
Acknowledgments
Acknowledgment
The authors thank Antonio J. Cañada (Data Science, Biostatistics & Bioinformatics. Health Research Institute La Fe) for his supervision in the statistical analysis. They also thank all patients and colleagues for their cooperation and assistance in this study. Always in our memory are those who are no longer among us because of this pandemic.
Footnotes
Supported by a Río Hortega grant from the Instituto de Salud Carlos III (CM19/00182) (R.M.). P.G.-J. is the recipient of a postresident research grant supported by the Health Research Institute La Fe (2019-053-1).
Author Contributions: Conceptualization and study design: R. Méndez and R. Menéndez. Patient enrollment and database management: R. Méndez, A.L., P.G.-J., L.F., L.B., K.Y., A.F., E.Z.-O., and S.R. Statistical analysis: R. Méndez. Drafting the manuscript: R. Méndez. Assistance in drafting the manuscript and critical review: R. Menéndez. Revision of the manuscript and approval of the final version: all authors. R. Méndez and R. Menéndez are the guarantors.
Author disclosures are available with the text of this letter at www.atsjournals.org.
References
- 1. European Centre for Disease Prevention and Control. COVID-19 situation update worldwide. 2020 [accessed 2020 Dec 22]. Available from: https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases.
- 2. Mo X, Jian W, Su Z, Chen M, Peng H, Peng P, et al. Abnormal pulmonary function in COVID-19 patients at time of hospital discharge. Eur Respir J. 2020;55:2001217. doi: 10.1183/13993003.01217-2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Frija-Masson J, Debray M-P, Gilbert M, Lescure F-X, Travert F, Borie R, et al. Functional characteristics of patients with SARS-CoV-2 pneumonia at 30 days post-infection. Eur Respir J. 2020;56:2001754. doi: 10.1183/13993003.01754-2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Zhao YM, Shang YM, Song WB, Li QQ, Xie H, Xu QF, et al. Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery. EClinicalMedicine. 2020;25:100463. doi: 10.1016/j.eclinm.2020.100463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Stanojevic S, Graham BL, Cooper BG, Thompson BR, Carter KW, Francis RW, et al. Global Lung Function Initiative TLCO working group; Global Lung Function Initiative (GLI) TLCO. Official ERS technical standards: Global Lung Function Initiative reference values for the carbon monoxide transfer factor for Caucasians. Eur Respir J. 2017;50:1700010. doi: 10.1183/13993003.00010-2017. [DOI] [PubMed] [Google Scholar]
- 6. Shah AS, Wong AW, Hague CJ, Murphy DT, Johnston JC, Ryerson CJ, et al. A prospective study of 12-week respiratory outcomes in COVID-19-related hospitalisations. Thorax. doi: 10.1136/thoraxjnl-2020-216308. [online ahead of print] 3 Dec 2020; DOI: 10.1136/thoraxjnl-2020-216308. [DOI] [PubMed] [Google Scholar]
- 7. Martinez FJ, Curtis JL, Sciurba F, Mumford J, Giardino ND, Weinmann G, et al. National Emphysema Treatment Trial Research Group. Sex differences in severe pulmonary emphysema. Am J Respir Crit Care Med. 2007;176:243–252. doi: 10.1164/rccm.200606-828OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Scully EP, Haverfield J, Ursin RL, Tannenbaum C, Klein SL. Considering how biological sex impacts immune responses and COVID-19 outcomes. Nat Rev Immunol. 2020;20:442–447. doi: 10.1038/s41577-020-0348-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Stavem K, Ghanima W, Olsen MK, Gilboe HM, Einvik G.Persistent symptoms 1.5-6 months after COVID-19 in non-hospitalised subjects: a population-based cohort study. Thorax. [online ahead of print] 3 Dec 2020; DOI: 10.1136/thoraxjnl-2020-216377. [DOI] [PMC free article] [PubMed]
- 10. Jonigk D, Märkl B, Helms J. COVID-19: what the clinician should know about post-mortem findings. Intensive Care Med. 2021;47:86–89. doi: 10.1007/s00134-020-06302-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Bai C, Chotirmall SH, Rello J, Alba GA, Ginns LC, Krishnan JA, et al. Updated guidance on the management of COVID-19: from an American Thoracic Society/European Respiratory Society coordinated International Task Force (29 July 2020) Eur Respir Rev. 2020;29:200287. doi: 10.1183/16000617.0287-2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
