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Radiological and functional lung sequelae of COVID-19: a systematic review and meta-analysis

Abstract

Background

The coronavirus disease 2019 (COVID-19) causes a wide spectrum of lung manifestations ranging from mild asymptomatic disease to severe respiratory failure. We aimed to clarify the characteristics of radiological and functional lung sequelae of COVID-19 patients described in follow-up period.

Method

PubMed and EMBASE were searched on January 20th, 2021 to investigate characteristics of lung sequelae in COVID-19 patients. Chest computed tomography (CT) and pulmonary function test (PFT) data were collected and analyzed using one-group meta-analysis.

Results

Our search identified 15 eligible studies with follow-up period in a range of 1–6 months. A total of 3066 discharged patients were included in these studies. Among them, 1232 and 1359 patients were evaluated by chest CT and PFT, respectively. The approximate follow-up timing on average was 90 days after either symptom onset or hospital discharge. The frequency of residual CT abnormalities after hospital discharge was 55.7% (95% confidential interval (CI) 41.2–70.1, I2 = 96.2%). The most frequent chest CT abnormality was ground glass opacity in 44.1% (95% CI 30.5–57.8, I2 = 96.2%), followed by parenchymal band or fibrous stripe in 33.9% (95% CI 18.4–49.4, I2 = 95.0%). The frequency of abnormal pulmonary function test was 44.3% (95% CI 32.2–56.4, I2 = 82.1%), and impaired diffusion capacity was the most frequently observed finding in 34.8% (95% CI 25.8–43.8, I2 = 91.5%). Restrictive and obstructive patterns were observed in 16.4% (95% CI 8.9–23.9, I2 = 89.8%) and 7.7% (95% CI 4.2–11.2, I2 = 62.0%), respectively.

Conclusions

This systematic review suggested that about half of the patients with COVID-19 still had residual abnormalities on chest CT and PFT at about 3 months. Further studies with longer follow-up term are warranted.

Peer Review reports

Introduction

Coronavirus disease 2019 (COVID-19) is caused by a novel coronavirus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [1], which was identified to be the cause of pneumonia cases originated in Wuhan, a city in the providence of Hubei, China. COVID-19 infection rapidly spread to entire world, leading WHO to declare pandemic on March 11, 2020. As of February 24, 2021, WHO reported 111,593,583 cases and 2,475,020 deaths [2].

Although COVID-19 is known to cause multiple organ damages, pneumonia is the most frequent manifestation of infection ranging from mild asymptomatic cases to critical respiratory failure requiring ventilatory support [3]. Initial symptoms of COVID-19, lung complications, radiological features, and the management have been extensively reported. Importantly, persistent symptoms such as fatigue, dyspnea, joint pain, and chest pain in patients discharged from hospital at 60 days after symptom onset were reported [4]. During the worldwide outbreak of severe acute respiratory syndrome (SARS) in 2003, persistent residual lung fibrosis was reported in 62% of patients in chest computed tomography obtained on average 36.5 days after hospital admission [5] and can be still present in 7 years after symptom presentation [6]. In addition, impairment in diffusion capacity in SARS survivors has been reported in 25.5% of patients on average 40.5 days after hospital discharge [7, 8]. Another study also showed forced vital capacity < 80% predicted in 4.1% of patients and impaired diffusion capacity in 23.7% of patients at 1 year after disease onset [9, 10]. Similarly, studies of Middle East respiratory syndrome (MERS) survivors revealed that 33% of patients had chest radiograph abnormalities at 80 days after discharge [11] and 37% of patients had impaired diffusion capacity at 1 year after disease onset [12]. These radiological and functional lung sequelae can detrimentally affect survivors’ quality of life. Reports of lung sequelae regarding chest CT findings and PFT observed in patients with clinical recovery from COVID-19 has been increasing recently. Herein, we conducted this systematic review to clarify the characteristics of chest CT findings and PFT results in follow-up period after COVID-19.

Method

Protocol and registration

A review protocol does not exist for this analysis.

Eligibility criteria

Included studies met the following criteria: the study design was an observational study that was published in peer-reviewed journals, the study population was patients with laboratory confirmed SARS-Cov-2 infections confirmed by using a quantitative real-time polymerase chain reaction (RT-PCR) who had follow-up evaluation of chest CT findings or PFT after recovery. Discharge criteria were either confirmed with two consecutive negative results of RT-PCR or clinical stability. Articles that do not contain original data of patients (e.g. guideline, editorial and review) or data obtained within 1 month of follow-up period after clinical recovery were excluded since the purpose of this review was to clarify the characteristics of lung sequelae in mid to long term follow-up period of patients with clinical recovery.

Information sources and search

All observational studies which included patients with COVID-19 diagnosis and follow-up evaluation of chest CT findings or PFT after clinical recovery were identified using a 2-level strategy. Databases including PubMed and EMBASE were searched through January 20th, 2021. Search items included (SARS-CoV-2 or COVID-19 or COVID-19 [MH]) AND [follow-up OR long-term OR (long term)] AND ((Pulmonary function test or Respiratory function test [MH]) OR (computed tomography OR CT)).

Study selection and data collection process

Relevant studies were identified through a manual search of secondary sources including references of initially identified articles, reviews, and commentaries. Two independent authors (M.S. and H.K.) reviewed the search results separately to select the studies based on inclusion and exclusion criteria. Disagreements were resolved by consensus.

Data items

Outcomes included age, sex, comorbidities, initial COVID-19 symptoms, residual COVID-19 symptoms after hospital discharge, follow-up timing, disease severity, the proportion of abnormalities in chest CT, chest CT findings at follow-up and type of PFT abnormalities.

Risk of bias in individual studies

Risk of bias in individual studies was reviewed using assessment of risk of bias in prevalence studies [13] (Additional file 1: Figures S2A, S2B).

Summary measures and synthesis of results

To calculate frequency of residual lung abnormalities in follow up chest CT and PFT, retrospective and prospective studies focused on COVID-19 patients who had either follow up chest CT or PFT more than 1 month either after symptom onset or after discharge were utilized and the data regarding the proportion of CT abnormalities, their individual findings in chest CT, the frequency of total PFT abnormality, including obstructive lung function, restrictive lung function, and impaired diffusion capacity were combined using one-group meta-analysis in a random-effect model with DerSimonian-Laird method for continuous value and Wald method for discrete value with OpenMetaAnalyst version 12.11.14 (available from http://www.cebm.brown.edu/openmeta/). The frequency of comorbidities, initial COVID-19 symptoms, residual COVID-19 symptoms and proportion of severe cases were calculated by summation of events divided by the total number of patients from all studies the information is available. The clinical severity of COVID-19 was defined according to the WHO interim guidance [14] and the guidance from China “Pneumonia diagnosis and treatment program for novel coronavirus infection (trial version 5)” issued by National Health Commission of the People’s Republic of China [15] as follows; (1) mild disease: mild symptoms and no evidence of pneumonia in imaging, (2) moderate disease: fever, some respiratory infection symptoms and pneumonia on radiographic imaging, (3) severe disease: meet any of the followings, respiratory distress, respiratory rate > 30/min, SpO2 < 93% at rest, PaO2/FiO2 < 300 mmHg, (4) Critical disease: meet any of the followings, respiratory failure or requiring mechanical ventilation, shock or other organ failures requiring ICU monitoring. Publication bias was assessed by funnel plots with Egger’s test using Comprehensive Meta-Analysis version 3 (available from https://www.meta-analysis.com/index.php?cart=BTEJ5270189) [16].

Results

Study selection and study characteristics (Fig. 1)

Fig. 1
figure1

Flow diagram of study selection

We identified 712 articles in total that were reviewed based on the title and abstract. 683 articles were excluded as they were regarding irrelevant topics or did not contain original data. Among the 29 articles, 14 articles were excluded because either they did not clearly mention follow-up timing or the follow-up period was within 1 month after discharge or after symptom onset. Among 15 articles include data of baseline characteristics, 13 articles contained follow-up chest CT data and 10 articles contained follow-up PFT data. Clinical characteristics of extracted data are shown in Table 1. Among the 15 retrospective and prospective cohort studies with total of 3066 patients, 8 studies were from China and 7 studies were from other countries, including Iran, The Netherlands, Belgium, Canada, Norway, Italy, and Switzerland. They all clearly defined their population as COVID-19 patients who had either follow-up CT or pulmonary function tests more than 1 month after symptom onset or after discharge from hospital. The discharge criteria included two consecutive negative SARS-Cov2 nucleic acid tests detected at least 24 h apart each in 3 studies [17,18,19]. The decision to discharge was made clinically based on patients’ clinical status and per hospital policy in the other 12 studies [20,21,22,23,24,25,26,27,28,29,30,31]. Among these studies, 13 studies collected data of chest CT [17,18,19,20,21,22,23,24,25, 27, 29,30,31] and 10 studies collected data of PFT [17, 18, 20, 22, 24,25,26,27,28,29] from the patients with COVID-19 discharged during their study period. Risk of bias of each study is shown in Additional file 1: figure S2.

Table 1 Results of systematic review with cohort studies of COVID-19 patients who had follow-up—baseline characteristics

Baseline characteristics of individual studies (Table 1)

The follow-up timing of chest CT or pulmonary function tests varied from 1 to 6 months after symptom onset. The average approximate follow-up timing after either symptom onset or hospital discharge was 90 days. Mean age was 56.0 ± 14.3, and 54.2% of the cohort was male. Baseline comorbidities were reported in 15 studies: hypertension 28.9% (886/3066), diabetes mellitus 12.4% (379/3066), cardiovascular disease 6.2% (191/3066), chronic pulmonary disease including asthma, chronic obstructive pulmonary disease, chronic bronchitis, pulmonary tuberculosis and interstitial lung disease 3.6% (110/3066), malignancy 2.7% (84/3066), chronic kidney disease 2.3% (69/3066) and cerebrovascular disease 1.6% (48/3066). Initial COVID-19 symptoms were reported in 4 studies: fever 88.2% (350/397), cough 47.1% (187/397), dyspnea 37.8% (150/397), ageusia 17.6% (70), anosmia 15.9% (63/397), fatigue 15.4% (61/397), diarrhea 13.9% (55/397), arthralgia 11.6% (46/397), myalgia 11.3% (45/397). Residual symptoms at follow-up were reported in 9 studies: fatigue 44.1% (1137/2580), sleep difficulty 16.9% (437/2580), hair loss 13.9% (359/2580), anosmia 7.2% (187/2,580), arthralgia 6.9% (179/2580), palpitation 6.4% (165/2580), decreased appetite 5.3% (138/2580), ageusia 5.1% (132/2580), and dyspnea 4.3% (112/2580). Severe COVID-19 diseases were observed in 22.4% (638/2849), and mild to moderate cases were observed in 77.6% (2211/2849).

Follow-up CT results after discharge (Table 2)

Table 2 Results of systematic review with cohort studies of COVID-19 patients—chest CT

13 studies were eligible to assess the residual chest CT findings [17,18,19,20,21,22,23,24,25, 27, 29,30,31]. The average approximate follow-up timing after either symptom onset or hospital discharge was 90 days. The frequency of CT abnormalities observed was 55.7% (95% confidential interval (CI) 41.2–70.1, I2 = 96.2%) (Fig. 2). The proportion of each finding observed was as follows; ground glass opacity: 44.1% (95% CI 30.5–57.8, I2 = 96.2%), parenchymal band or fibrous stripe: 33.9% (95% CI 18.4–49.4, I2 = 95.0%), thickening of adjacent pleura: 19.9% (95% CI 8.7–31.1, I2 = 95.4%), bronchovascular distortion or bronchiectasis: 23.7% (95% CI 6.4–40.9, I2 = 96.3%), interstitial thickening or interlobular septal thickening: 11.1% (95% CI 3.7–18.4, I2 = 91.6%), consolidation: 8.8% (95% CI 3.9–13.8, I2 = 91.0%), pleural effusion: 5.0% (95% CI − 1.8–11.8, I2 = 78.8%) (Additional file 1: Figure S1A–S1G).

Fig. 2
figure2

Forest plots for follow-up chest CT results (random-effects model); frequency of CT abnormalities observed after hospital discharge

Follow-up pulmonary function test after discharge (Table 3)

Table 3 Results of systematic review with cohort studies of COVID-19 patients—pulmonary function test

We identified 10 studies regarding PFT results in follow up period after 1 month [17, 18, 20, 22, 24,25,26,27,28,29]. The follow-up timing was approximately 90 days on average. The frequency of follow-up pulmonary function test abnormalities was 44.3% (95% CI 32.2–56.4, I2 = 82.1%) (Fig. 3A). Impaired diffusion capacity was observed in 34.8% of patients (95% CI 25.8–43.8, I2 = 91.5%) (Fig. 3B). Restrictive pattern and obstructive pattern were observed in 16.4% (95% CI 8.9–23.9, I2 = 89.8%) (Fig. 3C) and 7.7% (95% CI 4.2–11.2, I2 = 62.0%) of patients (Fig. 3D).

Fig. 3
figure3

Forest plots for follow-up PFT results (random-effects model). a Frequency of PFT abnormalities observed after hospital discharge, b frequency of impaired diffusion capacity in follow-up PFT, c frequency of restrictive pattern in follow-up PFT, d: frequency of obstructive pattern in follow-up PFT

Discussion

The salient findings of our systematic review are the following; (1) the frequency of CT abnormalities after hospital discharge was 55.7% (95% CI 41.2–70.1),Ground glass opacity and parenchymal bands/fibrous stripe were the most frequent findings; (2) the frequency of PFT abnormalities after hospital discharge was 44.3% (95% CI 32.2–56.4). Despite relatively low frequency of restrictive or obstructive pulmonary dysfunction, impaired diffusion capacity was the most prominent findings among these PFT results. It is noteworthy that the frequency of chest CT abnormalities was high despite the high proportion of non-severe cases (77.6%, 2211/2849 patients) in this combined data. As previously described in studies from outbreaks of SARS [5], our combined data regarding the frequency of chest CT abnormalities observed in follow-up period of about 3 months in COVID-19 patients was about 60%, and the most frequently observed functional lung sequelae was impaired diffusion capacity. Our combined data of decreased diffusion capacity frequency was higher than that reported in SARS in a similar follow-up period [7, 8]. Furthermore, compared to radiological lung sequelae of MERS, our data revealed higher rate of residual CT abnormalities [11].

Interestingly, despite the absence of macro level of lung dysfunction represented as reduced lung volume (restrictive lung dysfunction) or impaired airway dynamics (obstructive lung dysfunction), impaired diffusion capacity was more prominent, which indicates the disorder of interstitial structure and microvasculature of lungs. This result may represent underlying microthrombus formation in the lungs as previously reported in autopsy cases of COVID-19 diseases [32,33,34,35]. Hypercoagulable state in COVID-19 has been reported more and more frequently [36, 37], leading to the robust use of inpatient thromboprophylaxis and extended thromboprophylaxis following hospital discharge for select patients [38]. As demonstrated by Zhao et al. [20], elevated serum D-dimer was associated with decreased diffusion capacity in follow-up PFT. This finding is also consistent with possible microthrombus formation as underlying pathophysiology of COVID-19 disease. Finally, British Thoracic Society guidance on Respiratory follow up of patients with a clinic-radiological diagnosis of COVID-19 pneumonia has defined follow-up algorithms for COVID-19 pneumonia patients, which suggests to obtain chest radiography follow-up at 12 weeks after discharge and consider full PFT based on severity of COVID-19 disease. Any abnormalities in these tests encourage us to take high resolution CT or CT pulmonary angiography for possible residual interstitial lung disease or pulmonary embolism and recommend referral to either interstitial lung disease or pulmonary hypertension specialist services [39].

This study has several limitations. First, the description of follow up timing was variable and inconsistent between studies such as different starting point of duration and scale of duration, which made it difficult to precisely compare the proportion of patients with residual abnormalities. Second, each article reported CT abnormalities findings with different radiological terminology and PFT abnormalities were reported with different definition of restrictive or obstructive pattern, which made it difficult to accurately assess the proportion of each finding. Third, some studies reported only moderate severity of COVID-19 cases while others included moderate to critical diseases, which can be a factor leads to selection bias as well as low participation of patients in some studies which leads to non-response bias (Additional file 1: Figure S2A–S2B). More follow up data need to be published in the near future and further depict the long-term characteristics of radiological findings and lung function in COVID-19 disease.

Conclusion

This systematic review assessed the post discharge chest CT and pulmonary function tests in COVID-19 patients in follow-up period of about 3 months. The frequency of residual chest CT abnormalities observed was 55.7%, and ground glass opacity and parenchymal band were most frequent. Follow-up pulmonary function test was abnormal in 44.3%, mainly presenting decreased diffusion capacity. Further studies with longer term follow-up data are warranted to clarify how long these abnormalities are persistent, which will be helpful to manage patients with long-term sequelae from COVID-19 disease.

Availability of data and materials

We used the data from published data given its nature of systematic review and meta-analysis.

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Acknowledgements

We would like to thank the Keio Donner Project Team.

Funding

This research was supported by MHLW Program Grant Number JPMH20CA2054 and the Keio Donner Project.

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All authors had full access to all the data in the study and takes responsibility for the integrity of the data and accuracy of the data analysis. Study concept and design: MS, HK, TK. Data Curation: MS, TK. Acquisition, analysis, or interpretation of data: All authors. Drafting of the manuscript: MS, HK, TK. Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: MS, HT, TK. Administrative, technical, or material support: KF, HT. Study supervision: HK, KF, HT, TK. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Toshiki Kuno.

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Not applicable given using data of published data for systematic review and meta-analysis.

Consent for publication

Not applicable given using data of published data for systematic review and meta-analysis.

Competing interests

KF received honoraria from Boehringer Ingelheim and AstraZeneca. Others authors have no disclosure.

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Supplementary Information

Additional file 1: Supplemental Figure S1

. Forrest plots of the proportion of (A) ground glass opacity in follow-up chest CT; (B) parenchymal band or fibrous stripe in follow-up chest CT; (C) adjacent pleural thickening in follow-up chest CT; (D) bronchovascular distortion or bronchiectasis in follow-up chest CT; (E) interstitial thickening or interlobular septal thickening in follow-up chest CT; (F) consolidation in follow-up chest CT; (G) pleural effusion in follow-up chest CT. Supplemental Figure S2. Risk of bias (A): Risk of bias graph: review authors’ judgements about each risk of bias item presented as percentages across all included studies (B): Risk of bias summary: review authors’ judgements about each risk of bias item for each included study. +, low risk of bias; –, high risk of bias. Supplemental Figure S3. Publication bias Funnel plots of precision by point estimate of (A) chest CT abnormalities at follow-up; (B) PFT abnormalities at follow-up; (C) impaired DLCO at follow-up; (D) restrictive pattern in follow-up PFT; (E) obstructive pattern in follow-up PFT.

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So, M., Kabata, H., Fukunaga, K. et al. Radiological and functional lung sequelae of COVID-19: a systematic review and meta-analysis. BMC Pulm Med 21, 97 (2021). https://doi.org/10.1186/s12890-021-01463-0

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Keywords

  • Lung sequelae
  • COVID-19
  • Pulmonary function test
  • Computed tomography