Skip to main content
ERJ Open logoLink to ERJ Open
. 2021 Jul 22;58(1):2003677. doi: 10.1183/13993003.03677-2020

Diffusion capacity abnormalities for carbon monoxide in patients with COVID-19 at 3-month follow-up

Wei Qin 1,11, Shi Chen 1,11, Yunxia Zhang 2,3,4,11, Fen Dong 5,11, Zhu Zhang 2,3,4,11, Bingzhu Hu 1, Ziyang Zhu 1, Fajiu Li 1, Xiaojiang Wang 1, Yimin Wang 2,3,4, Kaiyuan Zhen 2,3,4, Jing Wang 6, YuLei Wan 7, Hongbo Li 7, Ismaïl Elalamy 8,9, Chenghong Li 1,12, Zhenguo Zhai 2,3,4,12,, Chen Wang 2,3,4,10
PMCID: PMC7877322  PMID: 33574077

Abstract

Objective

To evaluate pulmonary function and clinical symptoms in coronavirus disease 2019 (COVID-19) survivors within 3 months after hospital discharge, and to identify risk factors associated with impaired lung function.

Methods and material

COVID-19 patients were prospectively followed-up with pulmonary function tests and clinical characteristics for 3 months following discharge from a hospital in Wuhan, China between January and February 2020.

Results

647 patients were included. 87 (13%) patients presented with weakness, 63 (10%) with palpitations and 56 (9%) with dyspnoea. The prevalence of each of the three symptoms were markedly higher in severe patients than nonsevere patients (19% versus 10% for weakness, p=0.003; 14% versus 7% for palpitations, p=0.007; 12% versus 7% for dyspnoea, p=0.014). Results of multivariable regression showed increased odds of ongoing symptoms among severe patients (OR 1.7, 95% CI 1.1–2.6; p=0.026) or patients with longer hospital stays (OR 1.03, 95% CI 1.00–1.05; p=0.041). Pulmonary function test results were available for 81 patients, including 41 nonsevere and 40 severe patients. In this subgroup, 44 (54%) patients manifested abnormal diffusing capacity of the lung for carbon monoxide (DLCO) (68% severe versus 42% nonsevere patients, p=0.019). Chest computed tomography (CT) total severity score >10.5 (OR 10.4, 95% CI 2.5–44.1; p=0.001) on admission and acute respiratory distress syndrome (ARDS) (OR 4.6, 95% CI 1.4–15.5; p=0.014) were significantly associated with impaired DLCO. Pulmonary interstitial damage may be associated with abnormal DLCO.

Conclusion

Pulmonary function, particularly DLCO, declined in COVID-19 survivors. This decrease was associated with total severity score of chest CT >10.5 and ARDS occurrence. Pulmonary interstitial damage might contribute to the imparied DLCO.

Short abstract

COVID-19 patients present with impaired DLCO at 90 days after discharge, particularly severe patients. Chest CT TSS >10.5 and ARDS occurrence are associated with impaired DLCO. Pulmonary interstitial damage may contribute to the impaired DLCO. https://bit.ly/2JevUtm

Introduction

The epidemic of coronavirus disease 2019 (COVID-19) has had devastating effects. Patients surviving hospitalisation are frequently reported to have pulmonary sequelae. It is challenging to evaluate lung function throughout COVID-19 progression because of the difficulty related to infection control risks in obtaining lung function testing during this contagious pandemic disease [1].

There are short reports of lung function of COVID-19 patients at discharge and at 30 days post-discharge [2, 3]. Reduced lung function was demonstrated in survivors of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) up to 6 months following hospital discharge [4, 5]. SARS patients were reported to have a mild decrease in diffusing capacity of the lung for carbon monoxide (DLCO) 6–8 weeks after discharge, with improving lung function over time [6]. We performed a prospective cohort study to identify main sequelae and lung function changes in hospitalised severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients during 3-month follow-up.

Methods

Study design

This was a prospective cohort study performed at the Affiliated Hospital of Jianghan University (Wuhan, China). COVID-19 was confirmed and diagnosed according to Chinese management guideline for COVID-19 [7]. Nucleic acid tests were provided for SARS-CoV-2 by real-time reverse-transcriptase PCR assays. Severity was defined by the World Health Organization guideline for COVID-19 [8]. Severe pneumonia refers to fever or suspected respiratory infection, plus one of respiratory rate >30 breaths·min−1, severe respiratory distress or peripheral oxygen saturation ≤93% on room air. A total of 749 COVID-19 patients with full data available were admitted from January to February 2020. Of those, 81 patients died within 3 months and 21 patients were lost during follow-up. 647 patients were followed-up for 3 months after discharge. Patients' clinical baseline details, major clinical characteristics and lung function within 3 months' follow-up were recorded. Ethics approval was obtained from the medical ethics committee of Jianghan University Affiliated Hospital and China–Japan Friendship Hospital (WHSHIRB-K-2020015). Before data collection, we obtained patients’ consent.

Pulmonary function tests

81 (13%) patients underwent pulmonary function testing (PFT) at 3 months after discharge. PFT was performed by a professional doctor with 20 years of experience using the MasterScreen PFT system (Jaeger, Hoechberg, Germany) at the 3-month follow-up visit. The recorded parameters are as follows: total lung volume (TLC), residual volume, forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), FEV1/FVC ratio, maximum mid-expiratory flow (MMEF) and DLCO.

Chest computed tomography visual quantitative evaluation

Chest computed tomography (CT) scans were performed on 16- or 64-multidetector CT scanners (GE LightSpeed 16; GE Healthcare, Wauwatosa, WI, USA or Somatom Sensation 64; Siemens Healthcare, Malvern, PA, USA). All patients underwent chest CT scan at admission. In addition, 45 out of 81 patients who had PFT had chest CT scan at 3 months after discharge. Two experienced radiologists (YL Wan and HB Li) reviewed CT images without knowledge of mild or severe, normal or reduced DLCO. Pulmonary interstitial changes on follow-up chest CT graph was defined as a combination of findings including fibrous stripe, ground-glass opacity, consolidation, subpleural curvilinear shadow, coarse reticular pattern and traction bronchiectasis [9]. Meanwhile, main pulmonary artery (MPA), ascending aorta (AAo) diameters and the MPA/AAo ratio were measured to evaluate the relationship between pulmonary vascular disease and impaired DLCO [10]. To explore the relationship between impaired DLCO and radiographic changes, we conducted chest CT total severity score (TSS), which was evaluated by percentage of involvement in each lobe and overall lung. The percentage of the lobar involvement in each of the five lung lobes were classified in five levels: 0 (0%), 1 (1–25%), 2 (26–50%), 3 (51–75%) and 4 (76–100%). The TSS was obtained by adding the five lobar scores [11].

Statistical analysis

Data were expressed as number (%) for categorical variables, mean±sd when they were normally distributed and median (interquartile range (IQR)) when they had skewed distributions. t-test, Mann–Whitney U-test, Chi-squared test or Fisher's exact test were used to compare differences in characteristics and pulmonary function between groups of different characteristics. We used univariable and multivariable logistic regression models to explore the risk factors associated with the occurrence of sequelae and impaired lung function. To avoid overfitting in the multivariable logistic regression model, we chose just four variables for analysis considering the total number of impaired DLCO (n=41) in our study. The receiver operating characteristic (ROC) curve and the area under the curve were used to assess the predicted value of TSS for impaired DLCO. All statistical analyses were performed using SPSS (version 24; IBM, Armonk, NY, USA) and Prism (version 8.0.1; GraphPad, San Diego, CA, USA) with two-tailed p<0.05.

Results

Patient characteristics

647 COVID-19 patients attended the 3-month follow-up visit after hospital discharge, including 399 nonsevere patients and 248 severe patients (supplementary figure S1). The mean±sd age was 58±15 years, with 44% being male. The sequential organ failure assessment (SOFA) score on admission was 1 (IQR 0–2). The top three comorbidities were hypertension (30%), diabetes (11%) and chronic respiratory disease (6%). Moreover, severe patients were significantly older and had higher SOFA score at admission (supplementary table S1).

The residual symptoms at 3-month follow-up

Ongoing symptoms for COVID-19 at the 3-month follow-up visit were weakness, palpitations, dyspnoea, cough, lower limb oedema, chest pain and haemoptysis. 87 (13%) patients presented with fatigue in their daily lives, 63 (10%) with palpitations and 56 (9%) with dyspnoea. Prevalences of the three symptoms in patients with severe COVID-19 were markedly higher than those in the nonsevere patients (19% versus 10% for weakness, p=0.003; 14% versus 7% for palpitation, p=0.007; 12% versus 7% for dyspnoea, p=0.014) (supplementary table S1). In supplementary table S2, we compare the clinical characteristics between COVID-19 patients who had sequelae or not. The main differences between these two groups were disease severity, inpatient days, inflammation and coagulant disorder on admission. In univariable analysis, odds of sequelae were significantly higher in severe patients with long hospital stay. In addition, higher white blood cell count, higher hypersensitive C-reactive protein and abnormal D-dimer levels were associated with the occurrence of sequelae. In the multivariable model, severity and inpatient days were significantly associated with the occurrence of sequelae (supplementary table S3).

Lung function at 3-month follow-up

81 COVID-19 patients were assessed for pulmonary function test at 3 months after discharge, including 41 nonsevere and 40 severe patients. In this subgroup of the cohort, the mean±sd age was 59±14 years, 34 (42%) patients were male and the mean±sd body mass index was 23.87±3.18 kg·m−2. As shown in table 1, pulmonary function was impaired in 61 (75%) out of 81 survivors. Eight (10%) patients had reduced TLC; 17 (21%) patients had decreased FVC; in five (6%) patients, FEV1/FVC ratio was <70%; and in 44 (54%) patients, DLCO was <80% predicted. To determine whether abnormal lung function was associated with disease severity, we compared characteristics and pulmonary function parameters between nonsevere and severe cases. There were no significant differences in TLC, FVC, FEV1, FEV1/FVC, MMEF at 25–75% of FVC or DLCO to alveolar volume ratio, according to the spirometry between nonsevere and severe patients. However, significant difference was found for DLCO, which was <80% pred for 68% of severe patients compared to 42% of nonsevere patients (p<0.05) (figure 1).

TABLE 1.

Lung function in severe and nonsevere coronavirus disease 2019 patients

All Nonsevere Severe p-value
Patients 81 41 40
Age years 59±14 55±15 63±12 0.022
Male 34 (42) 17 (42) 17 (43) 0.925
BMI kg·m−2 23.87±3.18 23.72±3.41 24.04±2.95 0.677
Comorbidities
 Hypertension 23 (28) 12 (29) 11(28) 0.860
 CHD 5 (6) 2 (5) 3 (8) 0.675
 Diabetes 7 (9) 2 (5) 5 (13) 0.264
 CRD 6 (7) 1 (2) 5 (13) 0.201
 Tumour 2 (3) 2 (5) 0 (0) 0.494
 Arrhythmia 2 (3) 2 (5) 0 (0) 0.494
Lung function
 TLC % pred 99.25±24.44 102.15±26.25 96.28±22.38 0.288
 TLC <80% pred 8 (10) 1 (2) 7 (18) 0.029
 RV % pred 144.85±66.75 154.78±76.75 134.68±53.73 0.176
 FVC % pred 89.73±13.25 90.79±14.75 88.65±11.59 0.469
 FVC <80% pred 17 (21) 9 (22) 8 (20) 0.829
 FEV1 % pred 93.95±11.32 94.66±11.33 93.23±11.41 0.573
 FEV1 <80% pred 5 (6) 2 (5) 3 (8) 0.675
 FEV1/FVC 87.23±10.06 87.63±9.62 86.82±10.59 0.719
 FEV1/FVC <70% 3 (4) 0 (0) 3(8) 0.116
 MMEF75/25 85.90±24.25 87.73±24.34 84.03±24.32 0.496
 MMEF75/25 <65% 16 (20) 8 (20) 8 (20) 0.956
DLCO % pred 82.60±23.80 88.13±28.11 76.93±16.91 0.033
DLCO <80% pred 44 (54) 17 (42) 27 (68) 0.019
DLCO/VA % pred 86.10±15.72 88.72±17.21 83.41±13.74 0.128
DLCO/VA <80% pred 31 (38) 14 (34) 17 (43) 0.439

Data are presented as n, mean±sd or n (%), unless otherwise stated. BMI: body mass index; CHD: coronary heart disease; CRD: chronic respiratory disease; TLC: total lung capacity; RV: residual volume; FVC: forced vital capacity; FEV1: forced expiratory volume in 1 s; MMEF75/25: maximum mid-expiratory flow at 25–75% of FVC; DLCO: diffusing capacity of the lung for carbon monoxide; VA: alveolar volume.

FIGURE 1.

FIGURE 1

Percentage of predicted diffusing capacity of the lung for carbon monoxide (DLCO) at 3 months after discharge in nonsevere and severe coronavirus disease 2019 patients.

44 out of 81 COVID-19 patients had impaired DLCO. To figure out the differences between normal and impaired DLCO patients, we compared clinical characteristics between two groups in table 2. We found that parameters including severity, chest CT TSS, lymphocyte count, MPA diameter on admission and acute respiratory distress syndrome (ARDS) were higher in patients with impaired DLCO, and the difference between two groups was statistically significant.

TABLE 2.

Characteristics in coronavirus disease 2019 patients with normal and impaired diffusing capacity of the lung for carbon monoxide (DLCO) at 3-month follow-up

Total Normal DLCO Impaired DLCO p-value
Patients 81 37 44
Demographics and clinical characteristics
 Age years 59 (14) 58±14 60±14 0.458
 Male 34 (42) 12 (32) 22 (50) 0.111
 SOFA score 1 (0–2) 1 (0–2) 1 (0–3) 0.217
 BMI kg·m−2 23.87±3.18 23.86±3.36 23.88±3.09 0.977
 Severity 0.019
  Severe 40 (49) 13 (35) 27 (61)
  Nonsevere 41 (51) 24 (65) 17 (39)
 Padua score 4 (1–5) 2 (1–5) 5 (1–6) 0.080
Comorbidities
 Hypertension 23 (28) 9 (24) 14 (32) 0.456
 Diabetes 7 (9) 5 (14) 2 (5) 0.237
 CRD 5 (6) 2 (5) 3 (7) 1.000
 Tumour 2 (3) 1 (3) 1 (2) 1.000
Laboratory findings on admission
 WBC ×109 cells·L−1 4.98 (3.80–6.28) 5.54 (4.46–6.94) 5.39 (4.35–6.94) 0.894
 Lymphocytes ×109 cells·L−1 0.90 (0.65–1.22) 1 (0.82–1.35) 0.79 (0.60–1.05) 0.014
 HCRP mg·L−1 33.31 (8.71–83.79) 30.08 (8.33–79.84) 51.90 (17.49–136.20) 0.157
 NT-proBNP pg·mL−1 286.4 (95.8–566.55) 194.5 (92.15–537.10) 445.85 (85.7–882.85) 0.286
 Creatine kinase myocardial band U·L−1 10.45 (7.7–13.6) 9.9 (7.285–12.64) 11.55 (8.47–15.31) 0.105
 D-dimer, mg·L−1 0.4 (0.31–0.62) 0.41 (0.32–0.60) 0.47 (0.38–0.82) 0.471
 Fibrinogen g·L−1 3.91 (2.96–4.69) 4 (3.45–5.12) 4.05 (2.88–4.83) 0.560
 Platelets ×109 cells·L−1 187 (141–235) 202 (174–258) 163 (133–223) 0.032
Chest CT scan on admission
 Unilateral 8 (10) 5 (14)+ 3 (7) 0.459
 Bilateral 73 (90) 32 (87)+ 41 (93)
 Unilobar 5 (6) 3 (8) 2 (5)+ 0.656
 Multilobar# 76 (94) 34 (92) 42 (96)+
 TSS 9 (5–13) 7 (2–10) 12 (8.25–15) <0.001
 MPA 26.05±3.26 25.16±3.16 26.80±3.19 0.023
 AAo 30.33±3.71 29.97±3.83 30.62±3.63 0.433
 MPA/AAo 0.86±0.09 0.84±0.07 0.88±0.10 0.053
Treatments during hospitalisation
 Corticosteroids 17 (21) 7 (19) 10 (23) 0.675
 LMWH 33 (41) 13 (35) 20 (46) 0.346
 HFNC 13 (16) 5 (14) 8 (18) 0.569
 Noninvasive MV 32 (40) 12 (32) 20 (46) 0.232
ARDS 24 (30) 6 (16) 18 (41) 0.015

Data are presented as n, n (%), median (interquartile range) or mean±sd, unless otherwise stated. SOFA: Sequential Organ Failure Assessment; BMI: body mass index; CRD: chronic respiratory disease; WBC: white blood cells; HCRP: hypersensitive C-reactive protein; NT-proBNP: N-terminal pro-brain natriuretic peptide; CT: computed tomography; TSS: total severity score; MPA: main pulmonary artery; AAo: ascending aorta; LMWH: low molecular weight heparin; HFNC: transnasal hyperflow oxygen therapy; MV: mechanical ventilation; ARDS: acute respiratory distress syndrome. #: ≥2 lung lobes; : used for prevention of venous thrombosis; +: the summed percentage may exceed 100% due to rounding.

TSS of chest CT, pulmonary interstitial damage, vascular disease and impaired DLCO

All patients underwent chest CT scan at admission; in 90% of patients, lesions could be seen in the bilateral lung on admission and there was no statistical difference between the normal and impaired DLCO groups (p=0.459). To evaluate the effect of CT assessment on DLCO decline in patients with COVID-19, we calculated CT TSS for all patients. The median (IQR) TSS was 9 (5–13) at admission. We created a ROC curve to explore cut-off of TSS to predict abnormal DLCO. We found that the cut-off of TSS was 10.5 on admission; the area under the curve was 0.765 (95% CI 0.663–0.867; p<0.001), with sensitivity 64% (95% CI 49–76%) and specificity 84% (95% CI 69–92%) (figure 2).

FIGURE 2.

FIGURE 2

Receiver operating characteristic curve analysis of total computed tomography severity score (TSS) on admission for prediction of impaired diffusing capacity of the lung for carbon monoxide during 3-month follow-up. With the cut-off value of 10.5 for the TSS, the area under the curve was 0.765 (95% CI 0.663–0.867; p<0.001) with sensitivity 64% and specificity 84%.

45 out of 81 patients who underwent PFT had a chest CT scan at 3-month follow-up after discharge. To determine whether pulmonary interstitial damage contributed to impaired DLCO or not, we analysed pulmonary CT changes at 3 months after discharge. It was found that patients with abnormal DLCO were more likely to have interstitial damage, especially manifesting the signs of traction bronchiectasis, subpleural curvilinear shadow and coarse reticular pattern, indicating that pulmonary interstitial damage may contribute to impaired DLCO in COVID-19 patients (table 3). When exploring the relationship between vascular disease and impaired DLCO, no significant differences were found at 3 months after discharge.

TABLE 3.

Pulmonary computed tomography scan and impaired diffusing capacity of the lung for carbon monoxide (DLCO) at 3 months

Total Normal DLCO Impaired DLCO# p-value
Patients 45 16 29
Pulmonary interstitial damage 32 (71) 8 (50) 24 (83) 0.037*
 Fibrous stripe 23 (51) 7 (44) 16 (55) 0.463
 GGO 9 (20) 2 (13) 7 (24) 0.465
 Consolidation 5 (11) 1 (6) 4 (14) 0.636
 Traction bronchiectasis 14 (31) 1 (6) 13 (45) 0.008*
 Subpleural curvilinear shadow 22 (49) 2 (13) 20 (69) <0.001*
 Coarse reticular pattern 7 (16) 0 (0) 7 (24) 0.04*
Pulmonary vascular parameters
 MPA 26.09±2.79 25.52±2.94 26.40±2.70 0.327
 AAo 30.21±3.29 29.67±3.54 30.50±3.17 0.442
 MPA/AAo 0.87±0.08 0.86±0.09 0.87±0.08 0.855

Data are presented as n, n (%) or mean±sd, unless otherwise stated. GGO: ground-glass opacity; MPA: main pulmonary artery; AAo: ascending aorta. #: defined as <80% predicted. *: p<0.05.

Predictors for lung function decline

Univariable logistic analysis showed that severity, TSS >10.5, MPA diameter at admission and ARDS were significantly associated with impaired DLCO. Other variables were not associated with DLCO decline. Finally, we put age, MPA diameter, TSS >10.5 based on the ROC curve and ARDS into the multivariable logistic regression model. Details of univariable and multivariable analyses are shown in supplementary table S4 and figure 3. We found that TSS >10.5 (OR 10.4, 95% CI 2.5–44.1; p=0.001) and ARDS (OR 4.6, 95% CI 1.4–15.5; p=0.014) were significantly associated with impaired DLCO.

FIGURE 3.

FIGURE 3

Factors associated with impaired diffusing capacity of the lung for carbon monoxide (DLCO) during 3-month follow-up in multivariable regression analysis. TSS: total severity score; MPA: main pulmonary artery; ARDS: acute respiratory distress syndrome.

Discussion

In the present study, we focused on investigating the residual symptoms and pulmonary functions in COVID-19 patients after hospital discharge. Our study revealed that the most common residual symptoms were weakness (13%), palpitations (10%) and dyspnoea (9%). Prevalences of these three symptoms were significantly higher in severe COVID-19 patients than that in nonsevere patients. In addition, COVID-19 patients presented with abnormal pulmonary function, especially impaired DLCO during recovery. Furthermore, patients with severe COVID-19 were found to have a higher prevalence of impaired DLCO. Finally, multivariable analysis in our study demonstrated that TSS >10.5 and ARDS were significantly associated with impaired DLCO. Pulmonary interstitial damage may contribute to impaired DLCO at 3 months after discharge.

During the initial epidemic of COVID-19, the most common symptoms at the onset of illness were fever, cough, fatigue and shortness of breath [12, 13]. Some symptoms may continue following hospital discharge. It has been reported that weakness is common after acute lung injury and is associated with substantial impairments in physical function and quality of life [14]. The potential cause of these sequelae was multiple organ injury following SARS-CoV-2 infection. A prior study has shown that COVID-19 patients can have impaired physical functioning when discharged home, even after early physiotherapy [15]. For patients with SARS and MERS, the 6-min walk distance was reduced at 3 months after hospital discharge, but could be slowly improved by 12 months [16, 17]. Fatigue was reported for at least one-third of patients when followed-up for 18 months [18] and 40 months [19]. In this study, 10% patients experienced palpitations. It was well reported that myocardial injury was common in COVID-19 patients. According to autopsy findings, viraemia in six out of 10 and five out of 12 patients demonstrated high viral RNA titres in the liver, kidney or heart [20]. In addition, myocardial injury was highly associated with fatal outcomes in this infectious disease [21, 22]. Different degrees of myocardial injury might be a reason for palpitations.

Reports by Mo et al. [3] and Huang et al. [2] showed DLCO dysfunction in COVID-19 patients at discharge and 1 month from discharge, respectively. According to their studies, anomalies were noted in DLCO % pred in 47.2% and 52.6% of patients, respectively. They all reported the significant difference in impaired diffusing capacity among the different groups of severity. In our study, 44 (54%) patients had impaired diffusing capacity and there was a significant difference between nonsevere and severe COVID-19 patients at 3-month follow-up, which is in agreement with previous studies. Lung function disorder is one of the common issues with SARS and MERS patients. Pulmonary function defects were detected in half of the recovered SARS patients 3 months after hospital discharge [23]. Interstitial or pulmonary vascular abnormalities are associated with reduced DLCO [24], but it is unclear whether impaired DLCO in COVID-19 is due to pulmonary interstitial or pulmonary vascular disease, or both. In order to illuminate the reason for impaired DLCO in COVID-19, we analysed the TSS score on admission, pulmonary interstitial abnormalities at 3 months after discharge and markers of vasculopathy (including D-dimer, Padua score, MPA diameter, MPA/AAo ratio and use of low molecular weight heparin) and explored their associations with DLCO decline. As a method to score the severity of inflammation on CT images [11], TSS >10.5 was found to be significantly associated with impaired DLCO, indicating that the severity of pulmonary inflammation may be the reason for impaired DLCO. The results implied that we should follow-up the COVID-19 patients for pulmonary function, especially those individuals with high TSS upon chest CT. Additionally, we found that patients with impaired DLCO had a higher percentage of interstitial lesions, indicating that pulmonary interstitial damage may contribute to impaired DLCO at 3 months after discharge. There was no significant difference in vascular diseases between impaired and normal DLCO at 3-month follow-up. However, due to small sample size and lack of CT pulmonary angiography, the results could not accurately reflect the relationship between vascular abnormalities and impaired DLCO. The pathogenesis of impaired DLCO in COVID-19 merits further study in the future.

We analysed inherent relationships of corticosteroids treatment, inflammation on admission and ARDS occurrence with impaired DLCO. As a result, ARDS occurrence contributed to impaired DLCO, which was consistent with previous reports that ARDS survivors had striking decline in DLCO, the most common abnormality in pulmonary function [25, 26]. The exact pathologic causes of lung dysfunction in recovered COVID-19 patients remain unknown. Structural pulmonary damage caused by the ARDS and subsequent chronic changes may damage gas exchange [27]. Furthermore, neuromuscular weakness may also contribute to the impaired pulmonary function [28].

Although large number of patients were followed-up in our cohort, there were several limitations to our study. Firstly, pulmonary function testing was not carried out for all patients and not all patients undergoing lung function test received a chest CT scan at 3-month follow-up, mainly attributed to our limited knowledge of this novel virus and poor awareness about its impact on patients' lung function in the early epidemic era. This is the inherent limitation of this real-world study. Secondly, there was a lack of CT pulmonary angiography and other instruments to evaluate cardiovascular conditions. Furthermore, there was no direct evidence to explain the aetiology of sequelae and impaired DLCO in COVID-19 survivors. Although psychiatric and traumatic stress disorders were reported for patients with SARS and MERS [29, 30], a larger study with long-term follow-up needs to be carried out.

Conclusion

Weakness, palpitations and dyspnoea were the most common sequelae of COVID-19. Lung carbon monoxide diffusion dysfunction was the major damage in pulmonary function of COVID-19 survivors at 3 months after discharge. Chest CT TSS >10.5 and ARDS occurrence in COVID-19 were associated with impaired DLCO. Pulmonary interstitial damage may contribute to impaired DLCO at 3 months after discharge. This indicates that there is a necessity to adopt pulmonary rehabilitation strategy to improve outcomes in COVID-19 patients.

Supplementary material

Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author.

Supplementary material ERJ-03677-2020.SUPPLEMENT (271KB, pdf)

Shareable PDF

This one-page PDF can be shared freely online.

Shareable PDF ERJ-03677-2020.Shareable (208.2KB, pdf)

Acknowledgements

We thank Min Liu, Ziming Wang, Di Xu and Wei Yu (Affiliated Hospital of Jianghan University, Wuhan, China), for their data collection. We also thank Bruce L. Davidson, from the Division of Pulmonary and Critical Care Medicine, Providence Health System (Seattle, WA, USA), for his suggestions and language editing. They were not compensated for their contributions.

Footnotes

This article has supplementary material available from erj.ersjournals.com

Author contributions: W. Qin, S. Chen, Y. Zhang, B. Hu, Z. Zhang and C. Li conceived the study. W. Qin, B. Hu, S. Chen, Z. Zhu, F. Li, X. Wang, Y. Zhang, Y. Wang, K. Zhen, J. Wang, Y. Wan and H. Li collected data. W. Qin, F. Dong, Z. Zhang, I. Elalamy, C. Li and Z. Zhai analysed and interpreted data. W. Qin, F. Dong, Y. Zhang and S. Chen drafted the manuscript. I. Elalamy, C. Li, Z. Zhai and C. Wang revised the manuscript. Z. Zhai, C. Li and C. Wang obtained funding and supervised the study.

Conflict of interest: W. Qin has nothing to disclose.

Conflict of interest: S. Chen has nothing to disclose.

Conflict of interest: Y. Zhang has nothing to disclose.

Conflict of interest: F. Dong has nothing to disclose.

Conflict of interest: Z. Zhang has nothing to disclose.

Conflict of interest: B. Hu has nothing to disclose.

Conflict of interest: Z. Zhu has nothing to disclose.

Conflict of interest: F. Li has nothing to disclose.

Conflict of interest: X. Wang has nothing to disclose.

Conflict of interest: Y. Wang has nothing to disclose.

Conflict of interest: K. Zhen has nothing to disclose.

Conflict of interest: J. Wang has nothing to disclose.

Conflict of interest: Y. Wan has nothing to disclose.

Conflict of interest: H. Li has nothing to disclose.

Conflict of interest: I. Elalamy has nothing to disclose.

Conflict of interest: C. Li has nothing to disclose.

Conflict of interest: Z. Zhai has nothing to disclose.

Conflict of interest: C. Wang has nothing to disclose.

Support statement: This study was supported by a grant from the Chinese Academy of Engineering emergency research and cultivation project for COVID-19 (2020-KYGG-01-05), National Key Research and Development Program of China (number 2016YFC0905600; 2016YFC0901104; 2018YFC1315100), CAMS Innovation Fund for Medical Sciences (CIFMS) (number 2018-I2M-1-003) and National Natural Science Foundation of China (number 81570049; 81970058). The funding bodies are not involved in the design of the study, collection, analysis, interpretation of data or in writing the manuscript. Funding information for this article has been deposited with the Crossref Funder Registry.

References

  • 1.Kouri A, Gupta S, Yadollahi A, et al. Addressing reduced laboratory-based pulmonary function testing during a pandemic. Chest 2020; 158: 2502–2510. doi: 10.1016/j.chest.2020.06.065 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Huang Y, Tan C, Wu J, et al. Impact of coronavirus disease 2019 on pulmonary function in early convalescence phase. Respir Res 2020; 21: 163. doi: 10.1186/s12931-020-01429-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Mo X, Jian W, Su Z, 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]
  • 4.Ahmed H, Patel K, Greenwood DC, et al. Long-term clinical outcomes in survivors of severe acute respiratory syndrome and Middle East respiratory syndrome coronavirus outbreaks after hospitalisation or ICU admission: a systematic review and meta-analysis. J Rehabil Med 2020; 52: jrm00063. [DOI] [PubMed] [Google Scholar]
  • 5.Beijing Respiratory Experts Panel of the Medical Staff Severe Acute Respiratory Syndrome Patients .[A follow-up study of the lung function and the chest CT changes in medical staff with severe acute respiratory syndrome in Beijing]. Zhonghua Jie He He Hu Xi Za Zhi 2005; 28: 10–12. [PubMed] [Google Scholar]
  • 6.Chan KS, Zheng JP, Mok YW, et al. SARS: prognosis, outcome and sequelae. Respirology 2003; 8: Suppl. 1,S36–S40. doi: 10.1046/j.1440-1843.2003.00522.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.National Health Commission of the People's Republic of China. Chinese Management Guideline for COVID-19 (Trial Version 5 Revised). www.nhc.gov.cn/yzygj/s7653p/202002/d4b895337e19445f8d728fcaf1e3e13a.shtml Date last accessed: 05 February 2020. Date last updated: 08 February 2020.
  • 8.World Health Organization . Clinical Management of Severe Acute Respiratory Infection (SARI) when COVID-19 Disease is Suspected: Interim Guidance, 13 March 2020.Geneva,World Health Organization,2020. https://apps.who.int/iris/handle/10665/331446 [Google Scholar]
  • 9.Yu M, Liu Y, Xu D, et al. Prediction of the development of pulmonary fibrosis using serial thin-section CT and clinical features in patients discharged after treatment for COVID-19 pneumonia. Korean J Radiol 2020; 21: 746–755. doi: 10.3348/kjr.2020.0215 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Li X, Zhang C, Sun X, et al. Prognostic factors of pulmonary hypertension associated with connective tissue disease: pulmonary artery size measured by chest CT. Rheumatology 2020; 59: 3221–3228. doi: 10.1093/rheumatology/keaa100 [DOI] [PubMed] [Google Scholar]
  • 11.Li K, Fang Y, Li W, et al. CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19). Eur Radiol 2020; 30: 4407–4416. doi: 10.1007/s00330-020-06817-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395: 497–506. doi: 10.1016/S0140-6736(20)30183-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 2020; 395: 507–513. doi: 10.1016/S0140-6736(20)30211-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Fan E, Dowdy DW, Colantuoni E, et al. Physical complications in acute lung injury survivors: a two-year longitudinal prospective study. Crit Care Med 2014; 42: 849–859. doi: 10.1097/CCM.0000000000000040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Belli S, Balbi B, Prince I, et al. Low physical functioning and impaired performance of activities of daily life in COVID-19 patients who survived the hospitalisation. Eur Respir J 2020; 56: 2002096. doi: 10.1183/13993003.02096-2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Hui DS, Wong KT, Ko FW, et al. The 1-year impact of severe acute respiratory syndrome on pulmonary function, exercise capacity, and quality of life in a cohort of survivors. Chest 2005; 128: 2247–2261. doi: 10.1378/chest.128.4.2247 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Li TS, Gomersall CD, Joynt GM, et al. Long-term outcome of acute respiratory distress syndrome caused by severe acute respiratory syndrome (SARS): an observational study. Crit Care Resusc 2006; 8: 302–308. [PubMed] [Google Scholar]
  • 18.Lee SH, Shin HS, Park HY, et al. Depression as a mediator of chronic fatigue and post-traumatic stress symptoms in Middle East respiratory syndrome survivors. Psychiatry Investig 2019; 16: 59–64. doi: 10.30773/pi.2018.10.22.3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Lam MH, Wing YK, Yu MW, et al. Mental morbidities and chronic fatigue in severe acute respiratory syndrome survivors: long-term follow-up. Arch Intern Med 2009; 169: 2142–2147. doi: 10.1001/archinternmed.2009.384 [DOI] [PubMed] [Google Scholar]
  • 20.Wichmann D, Sperhake JP, Lütgehetmann M, et al. Autopsy findings and venous thromboembolism in patients with COVID-19. Ann Intern Med 2020; 173: 268–277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Shi S, Qin M, Shen B, et al. Association of cardiac injury with mortality in hospitalized patients with COVID-19 in Wuhan, China. JAMA Cardiol 2020; 5: 802–810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Guo T, Fan Y, Chen M, et al. Cardiovascular implications of fatal outcomes of patients with coronavirus disease 2019 (COVID-19). JAMA Cardiol 2020; 5: 811–818. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ong KC, Ng AW, Lee LS, et al. Pulmonary function and exercise capacity in survivors of severe acute respiratory syndrome. Eur Respir J 2004; 24: 436–442. doi: 10.1183/09031936.04.00007104 [DOI] [PubMed] [Google Scholar]
  • 24.Ayers LN, Ginsberg ML, Fein J, et al. Diffusing capacity, specific diffusing capacity and interpretation of diffusion defects. West J Med 1975; 123: 255–264. [PMC free article] [PubMed] [Google Scholar]
  • 25.Masclans JR, Roca O, Muñoz X, et al. Quality of life, pulmonary function, and tomographic scan abnormalities after ARDS. Chest 2011; 139: 1340–1346. doi: 10.1378/chest.10-2438 [DOI] [PubMed] [Google Scholar]
  • 26.McHugh LG, Milberg JA, Whitcomb ME, et al. Recovery of function in survivors of the acute respiratory distress syndrome. Am J Respir Crit Care Med 1994; 150: 90–94. doi: 10.1164/ajrccm.150.1.8025779 [DOI] [PubMed] [Google Scholar]
  • 27.Neff TA, Stocker R, Frey HR, et al. Long-term assessment of lung function in survivors of severe ARDS. Chest 2003; 123: 845–853. doi: 10.1378/chest.123.3.845 [DOI] [PubMed] [Google Scholar]
  • 28.Ong KC, Ng AW, Lee LS, et al. 1-year pulmonary function and health status in survivors of severe acute respiratory syndrome. Chest 2005; 128: 1393–1400. doi: 10.1378/chest.128.3.1393 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Mak IW, Chu CM, Pan PC, et al. Long-term psychiatric morbidities among SARS survivors. Gen Hosp Psychiatry 2009; 31: 318–326. doi: 10.1016/j.genhosppsych.2009.03.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Hong X, Currier GW, Zhao X, et al. Posttraumatic stress disorder in convalescent severe acute respiratory syndrome patients: a 4-year follow-up study. Gen Hosp Psychiatry 2009; 31: 546–554. doi: 10.1016/j.genhosppsych.2009.06.008 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author.

Supplementary material ERJ-03677-2020.SUPPLEMENT (271KB, pdf)

This one-page PDF can be shared freely online.

Shareable PDF ERJ-03677-2020.Shareable (208.2KB, pdf)


Articles from The European Respiratory Journal are provided here courtesy of European Respiratory Society

RESOURCES