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Springer Nature - PMC COVID-19 Collection logoLink to Springer Nature - PMC COVID-19 Collection
. 2022 Mar 2;17(5):1491–1501. doi: 10.1007/s11739-022-02950-w

Residual symptoms, lung function, and imaging findings in patients recovering from SARS-CoV-2 infection

Fares Darawshy 1,2,, Ayman Abu Rmeileh 1,2, Rottem Kuint 1,2, Dan Padawer 1,2, Khalil Karim 1,2, Zvi Fridlender 1,2, Uri Laxer 1,2, Polina Goychman Cohen 1,2, Neville Berkman 1,2
PMCID: PMC8889872  PMID: 35235130

Abstract

Symptoms following acute COVID-19 infection are common, but their relationship to initial COVID-19 severity is unclear. We hypothesize that residual symptoms are related to disease severity, and severe acute COVID-19 infection is more likely to cause residual pulmonary damage. This study aims to evaluate symptoms, lung function, and abnormal imaging within 3 months following COVID-19 infection, and to determine whether they are related to initial disease severity. A cross-sectional study was carried out at a designated post-COVID clinic in Hadassah Medical Center, Jerusalem, Israel. Patients with PCR-confirmed SARS-CoV-2 infection were evaluated within 12 weeks following infection and included both admitted and non-admitted subjects. All study participants underwent assessment of symptoms, quality of life (SGRQ), pulmonary function tests, and imaging. A total of 208 patients (age 49.3 ± 16 years) were included in the study. Initial disease severity was mild in 86, moderate in 49, and severe in 73 patients. At the time of follow-up, there were no differences in frequency of residual symptoms or in SGRQ score between groups. Patients with severe COVID-19 were more likely to have residual dyspnea (p = 0.04), lower oxygen saturation (p < 0.01), lower FVC and TLC (p < 0.001, p = 0.03 respectively), abnormal CXR (p < 0.01), and abnormal CT scan (p < 0.01) compared to other groups.Frequency of symptoms and impairment of quality of life at 12 week follow-up are common and are not related to severity of initial COVID-19 disease. In contrast, reduced lung function and abnormal pulmonary imaging are more common in patients with more severe acute COVID-19 infection.

Keywords: COVID-19, Post-COVID, Dyspnea, Pulmonary function, FVC

Background

The severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) outbreak began in China in December 2019 [1, 2]. Since then, the virus has caused a global pandemic with over a 150 million persons infected and over 3 million deaths. The clinical spectrum of acute coronavirus-induced disease (COVID-19) is wide, and ranges from asymptomatic infection, mild self-limiting disease, to acute life-threatening respiratory failure [2, 3]. Furthermore, the acute infection is not limited to the respiratory system, and may lead to multisystem involvement, including neurological, gastrointestinal, thromboembolic, and cardiovascular disease [4].

In addition to the acute illness, long-term effects of COVID-19 have also become apparent, and patients may suffer from persistent symptoms, impaired lung function, and both pulmonary and extra-pulmonary complications [5]. The increasing number of patients suffering from long-term effects has led to the implementation of terms such as “long-COVID” or “post-COVID” [5, 6], in which patients have persistent multisystem symptoms and complications. Currently, post-COVID is defined as the presence of symptoms extending beyond 3 weeks of acute COVID-19 initial presentation, and post-COVID may even extend beyond 12 weeks [68].

Previous reports have detailed residual symptoms following SARS-CoV-2 infection. Persistent symptoms include dyspnea, fatigue, chest pain, and cognitive dysfunction, and were seen in 87.4% of recovered patients [9]. Dyspnea is the most common persistent symptom, present in 42% to 66% of patients at 60–100 days of follow-up [5, 9, 10]. Additional studies have also shown persistent symptoms and functional impairment after COVID-19, particularly in hospitalized patients with severe disease, but also in those with mild disease [5, 1115].

Chest imaging and lung function may also be impaired following SARS-CoV-2 infection. In 55 patients who recovered from COVID-19, abnormal chest computerized tomography (CT) scan was found in 39 of them, with impaired lung function in 14 patients [16]. Other studies evaluating radiological abnormalities showed that up to 56% of patients have persistent radiographic abnormalities after 12 weeks of follow-up [17]. In several cohorts that assessed lung function in patients who survived COVID-19 hospitalization, restrictive lung abnormality and diffusion limitation demonstrated in 22–38% and 24–71.7% [18, 19], respectively, especially in patients with severe COVID-19. In a large Chinese cohort that included 1733 patients, Huang et al. showed diffusion impairment at follow-up in 56% in severely ill patients, and abnormal CT pattern in 50% of 349 patients at 6 months [20].

There are little data analyzing the long-term residual effects in COVID-19 survivors in relation to initial disease severity. Most published studies in post-COVID-19 patients have focused on those with severe initial disease or hospitalized patients. A recent study of 63 COVID-19 survivors compared both hospitalized and non-hospitalized patients and found persistent dyspnea and fatigue in both groups. Hospitalized patients had lower total lung and diffusion capacity [21]. Another study that evaluated mainly outpatients showed that symptomatic patients have significantly reduced lung function, most notably impaired gas transfer [22].

We hypothesize that residual symptoms in COVID-19 survivors are related to disease severity, and patients with severe disease are more likely to develop residual symptoms, and pulmonary damage as assessed by impaired lung function or abnormal imaging. This study aims to evaluate residual symptoms, lung function, and imaging findings following SARS-CoV-2 infection.

Methods

Study design and participants

We conducted a cross-sectional cohort analysis which was carried out at the post-COVID clinic in Hadassah Medical Center, Jerusalem, Israel. The study protocol was approved by the ethics committee of Hadassah—Hebrew University Medical Center (number HMO-0294–20) and informed consent was obtained from all participants in the study. Post-COVID-19 patients were invited to the clinic by direct phone calls following hospital discharge from COVID wards, addition of written instructions in hospital discharge summaries as to post-COVID clinic details and advertisement in social media targeting outpatients or those who were admitted in other hospitals. After their presentation to the clinic, participants were asked to participate in the study by a research physician.

Between August 2020 and February 2021, we recruited participants who presented to the post-COVID outpatient clinic. Patients were > 18 years of age and diagnosed with SARS-CoV-2 infection by RT-PCR 12 weeks before enrollment. We included both patients that were initially admitted with acute COVID as well as outpatients initially managed at home. No data were collected on patients who did not attend the post-COVID clinic.

Clinical assessment

All data were obtained during the clinic visit. Routine demographic information was collected, as well as details of date of COVID-19 diagnosis, comorbidities, smoking history, symptoms, and clinical features of acute COVID-19. Inpatient data were extracted through review of patient’s electronic medical records. Data relating to acute COVID-19 included peak oxygen requirements, oxygen saturation at presentation (if available), chest X-ray findings, and treatment during admission. Imaging during admission was considered as normal or abnormal.

Participants were divided into three major groups of initial COVID-19 severity, according to the national health institute COVID-19 treatment guidelines [3]: mild, moderate, and severe. Patients with signs and symptoms of COVID-19, but without shortness of breath or abnormal chest imaging were considered “mild”. Moderate disease refers to individuals who show evidence of lower respiratory disease during clinical assessment or imaging and have oxygen saturation of 94% or more breathing room air at sea level. Patients with oxygen saturation less than 94% on room air, respiratory frequency > 30 breaths/min, or lung infiltrates > 50% were categorized as "severe" disease. In addition, patients were compared as inpatients and outpatients’ groups.

During post-COVID clinic assessment, all participants were asked to fill out Saint George respiratory questionnaire (SGRQ) for measurement of impact on overall health, daily life, and perceived well-being [23, 24].

All participants underwent physical examination, oxygen saturation both at rest and exercise, spirometry, and CXR during their visit. Further investigation was performed according to initial disease severity. No further investigation was performed in participants with mild disease. Chest CT, body plethysmography, and diffusing capacity of carbon monoxide (DLCO) were performed in those with severe disease or according to physician judgment.

Spirometry and pulmonary function tests were performed according to the American Thoracic Society/European Respiratory Society standards [25, 26]. Data included forced expiratory volume at 1 s (FEV1), forced vital capacity (FVC), the ratio between the two parameters: FEV1/FVC, static lung volumes, and DLCO using the single breath technique. All data presented as percentage of predicted normal values.

Data analysis

The data were analyzed using SPSS software version 25. Statistical significance was considered for p value lower than 0.05.

Descriptive statistics were performed using means, standard deviations and ranges for the continuous variables, and frequencies for the discrete variables. Differences between patient groups (according to initial COVID-19 severity) were assessed using Chi-square tests for the discrete variables, and Mann–Whitney and Kruskal–Wallis tests for the continuous variables. Post hoc analyses were conducted using Bonferroni corrections for multiple comparisons. To analyze the impact of clinical parameters on persistent symptoms and respiratory outcomes, we used a multivariate analysis which were conducted using Logistic regressions. Separate Logistic regressions were conducted for assessing the probability to have persistent symptoms, reduced FVC, abnormal CXR, and abnormal CT at the time of study participation.

Results

Baseline characteristics

A total of 208 patients (age 49.3 ± 16 years) were included with a mean follow-up of 80 ± 50 days after acute COVID-19 infection (Table 1). 56.3% of patients were male and 43.7% were female. Hypertension (n = 41, 19.7%) and hyperlipidemia (n = 40, 19.2%) were the most frequently reported comorbidities. 83.7% of the patients were non-smokers (n = 174), 7.2% were current smokers, and 9.1% were past smokers. Patients with severe COVID-19 were older and had more comorbidities compared to those with mild and moderate disease.

Table 1.

Baseline patients’ clinical characteristics by initial disease severity

N (%) or Mean ± SD p value
Total
(n = 208)
Mild
(n = 86)
Moderate
(n = 49)
Severe
(n = 73)
Age, years 49.3 ± 16.1 42.3 ± 15.2 48.5 ± 15.9 58 ± 13.1  < 0.001
 Male 117 (56.3) 38 (44.2) 29 (59.2) 50 (68.5) 0.007
 Female 91 (43.8) 48 (55.8) 20 (40.8) 23 (31.5)
Comorbidities
 Hypertension 41 (19.7) 10 (11.6) 7 (14.3) 24 (32.9)  < 0.001
 Diabetes mellitus 29 (13.9) 7 (8.1) 6 (12.2) 16 (21.9) 0.04
 Hyperlipidemia 40 (19.2) 8 (9.3) 6 (12.2) 26 (35.6)  < 0.001
 IHD 12 (5.8) 3 (3.5) 0 (0) 9 (12.3)
 Cancer 16 (7.7) 5 (5.8) 4 (8.2) 7 (9.6) 0.67
 Asthma/COPD 10 (4.8) 4 (4.6) 3 (6.1) 3 (4.1) 0.56
 AF 3 (1.4) 0 (0) 3 (4.1)
 Heart failure 3 (1.4) 1 (1.1) 2 (2.7)
 Cirrhosis 1 (0.5) 1 (1.4)
 Other 46 (22.1) 15 (17.4) 11 (12.8) 20 (23.3) 0.32
Smoking
 Never smoker 174 (83.7) 69 (80.2) 44 (89.8) 61 (83.6) 0.35
 Active smoker 15 (7.2) 9 (10.5) 4 (8.1) 2 (2.7)
 Past smoker 19 (9.1) 8 (9.3) 1 (2.1) 10 (13.7)
COVID-19 illness
 Cough 147 (70.7) 48 (55.8) 37 (75.5) 62 (84.7)  < 0.001
 Dyspnea 88 (42.3) 7 (8.1) 29 (59.2) 52 (71.2)  < 0.001
 Sao2 92.2 ± 6.09 96.5 ± 1.7 95.2 ± 3 88 ± 6.1  < 0.001
Oxygen requirements
 No oxygen 142 (68.3) 86 (100) 43 (87.7) 13 (17.8)  < 0.001
 Supplemental oxygen 43 (20.7) 6 (12.3) 37 (50.7)  < 0.001
 HFNC 14 (6.7) 14 (19.2)  < 0.001
 Mechanical ventilation 9 (4.3) 9 (12.3)  < 0.001
Chest X-ray
 Not performed 92 (44.2) 66 (76.7) 16 (32.7) 10 (13.7)  < 0.001
 Normal 38 (18.3) 20 (23.3) 12 (24.5) 6 (8.2)
 Abnormal 78 (37.5) 21 (42.8) 57 (78.1)
Chest CT
 Not performed 177 (85.1) 86 44 (89.9) 47 (64.4)  < 0.001
 Normal
 Abnormal 31 (14.9) 5 (10.1) 26 (35.6)
Therapy (at infection)
 Antibiotics 27 (13) 1 (1.2) 3 (6.1) 23 (31.5)  < 0.001
 Remdesivir 41 (19.7) 41 (56.2)  < 0.001
 Dexamethasone 61 (29.3) 1 (1.2) 5 (10.2) 55 (75.3)  < 0.001
 Anticoagulation 67 (32.3) 2 (2.3) 9 (18.8) 56 (76.6)  < 0.001
 Other 22 (10.5) 3 (6.1) 10 (13.7)  < 0.001
Length of stay, days 8.92 ± 9.64 2.7 ± 2.8 3.9 ± 3.6 13.5 ± 10.8  < 0.001

IHD Ischemic heart disease, COPD Chronic obstructive pulmonary disease, SaO2 Oxygen saturation at room air, HFNC High Flow Nasal Cannula, CT computerized tomography; other therapy includes convalescent plasma, anti-IL-6, lopinavir–ritonavir, and hydroxychloroquine. 

*p < 0.05

During acute COVID-19 illness, 70.7% of patients had cough, 42.3% had dyspnea, and 89.4% had general weakness. Patients in the severe group had lower oxygen saturation on room air at presentation (Table 1). 68.3% of the patients did not need respiratory support, and only 4.3% were mechanically ventilated, all in the severe group. 20.7% were treated with supplemental oxygen and 6.7% required high flow nasal cannula.

116 (55.8%) patients underwent CXR during the acute disease phase and was abnormal in 67.2% (78/116). CXR was not performed in patients with mild disease, and most of those who underwent CXR were in the severe group. Similarly, chest CT was performed in 31 (14.9%) patients and was abnormal in all cases. Therapy during admission and length of stay is presented in Table 1.

Follow-up visit

Mean follow-up period was 81 ± 50 days, and was similar in the three groups. 94.2% patients had at least one residual symptom, and only 5.8% (n = 12) were asymptomatic. There were no significant differences in the frequency of pulmonary or extra-pulmonary symptoms between patients with different initial disease severity (Table 2). The most common symptom at follow-up was fatigue [61.6%, 49%, 67.1% in mild, moderate, and severe COVID-19, respectively, (p = 0.13)] (Fig. 1a). Only dyspnea was more common in patients with severe vs. mild and moderate COVID-19 [68.5 vs 48.8% and 57.1%, (p = 0.04)]. Other residual symptoms and their frequencies are reported in Table 2 and Fig. 1. Quality of life as measured by SGRQ score was significantly reduced in all patients, without significant difference between mild, moderate, and severe COVID-19 survivors. Patients with severe disease have significantly lower oxygen saturation compared to patients with mild and moderate disease, both at rest (95.3 ± 2.5 vs 96.8 ± 1.5, and 96.4 ± 1.5, p < 0.001) and exercise (93.3 ± 4 vs. 96.2 ± 1.7 and 95.8 ± 1.7, p < 0.001).

Table 2.

Residual symptoms, SGRQ score, lung function, and imaging findings on follow-up, by initial disease severity

N (%) or Mean ± SD p Value
Total
(n = 208)
Mild
(n = 86)
Moderate
(n = 49)
Severe
(n = 73)
Follow-up, days 81 ± 50 85 ± 55 80 ± 48 74 ± 45 0.48
Residual symptoms
 Asymptomatic 12 (5.8) 3 (3) 7 (14.2) 2 (2) 0.52
 Pulmonary 40 (9.2) 13 (15.7) 9 (21.4) 18 (25.4)
 Extrapulmonary 116 (55.8) 20 (24.1) 9 (21.4) 11 (15.5)
 Both 120 (57.7) 50 (60.2) 24 (57.1) 42 (59.2)
Dyspnea 120 (57.7) 42 (48.8) 28 (57.1) 50 (68.5) 0.04
Cough 47 (22.6) 17 (19.8) 16 (32.7) 14 (19.2) 0.16
Exercise intolerance 50 (24) 18 (20.9) 13 (26.5) 19 (26.0) 0.68
Chest pain 34 (16.3) 14 (16.3) 7 (14.3) 13 (17.8) 0.87
Fatigue 126 (60.6) 53 (61.6) 24 (49.0) 49 (67.1) 0.13
Arthralgia/myalgia 45 (21.6) 22 (25.6) 7 (14.3) 16 (21.9) 0.31
Hair Loss 28 (13.5) 15 (17.4) 6 (12.2) 7 (9.6) 0.34
Anxiety 20 (9.6) 11 (12.8) 4 (8.2) 5 (6.8) 0.41
Cognitive dysfunction 59 (28.4) 28 (32.6) 12 (24.5) 19 (26.0) 0.52
Anosmia/ageusia 16 (7.7) 10 (11.6) 3 (6) 3 (4) 0.18
SGRQ score 39.6 ± 25.6 37 ± 24.8 42.8 ± 25.6 40.9 ± 26.7 0.67
SaO2
 Rest 96.2 ± 2.05 96.8 ± 1.5 96.4 ± 1.5 95.3 ± 2.5  < 0.001
 Exercise 95.0 ± 3.0 96.2 ± 1.7 95.8 ± 1.7 93.3 ± 4.0  < 0.001
Spirometry
 FEV1, % predicted 91.1 ± 17.8 94.7 ± 16.2 94.3 ± 15 85.2 ± 19.7  < 0.001
 FVC, % predicted 89.0 ± 18.3 94.9 ± 14.8 91.44 ± 14.7 81.3 ± 20.8  < 0.001
 FEV1/FVC, % predicted 82 ± 18.3 81 ± 11 83 ± 8 82 ± 10 0.87
Lung volumes
 RV, % predicted 98.2 ± 38.6 117.8 ± 61.8 104.2 ± 31 87.7 ± 24 0.13
 TLC, % predicted 91.5 ± 16.3 96.4 ± 11.1 99.4 ± 16.7 86.3 ± 16.4 0.03
 RV/TLC, % predicted 101.6 ± 34.1 119.2 ± 59.2 101.1 ± 22.8 94.5 ± 19.6 0.60
Diffusing capacity
 DLCO, % predicted 84.2 ± 14.5 89.5 ± 15.9 86 ± 15.1 81.1 ± 17.0 0.28
CXR
 Not performed 19 (9.2) 8 (9.3) 9 (18.3) 2 (2.7)  < 0.001
 Normal 130 (62.8) 68 (79) 32 (65.3) 30 (41.1)
 Abnormal 58 (28) 10 (11.7) 8 (16.3) 41 (56.2)
CT scan
 Not performed 141 (67.8) 74 (86) 35 (71.4) 32 (43.8) 0.26
 Normal 28 (13.5) 6 (7) 8 (16.3) 14 (19.2)
 Abnormal 39 (18.8) 6 (7) 6 (12.2) 27 (37)
Abnormal CT findings 39 (18.8) 6 (7) 6 (12.2) 27 (37)  < 0.001

Pulmonary symptoms include dyspnea, cough, chest pain, and exercise intolerance; SGRQ Saint George Respiratory Questionnaire, SaO2 Oxygen saturation at room air, FEV1 Forced expiratory volume at 1 s, FVC Forced vital capacity, RV Residual volume, TLC Total lung capacity, DLCO diffusion capacity for carbon monoxide, CXR chest X-ray, CT computerized tomography

*p < 0.05

Fig. 1.

Fig. 1

a: Residual symptoms frequency comparison between patients according to initial diseases severity: mild, moderate, and severe COVID-19. *p < 0.05; b: pulmonary function tests parameters on follow-up according to initial diseases severity: mild, moderate, and severe COVID-19

Lung function and imaging findings

At follow-up, spirometry was performed in total of 183 patients: 73, 41, and 68 patients in the mild, moderate, and severe group, respectively. Mean FVC (% predicted) at follow-up was 89 ± 18.3. Patients in the severe group has significantly lower FEV1 and FVC (Table 2, Fig. 1b). Absolute lung volumes and diffusion capacity were available in 62 patients: 14 in the mild, 14 in the moderate, and 33 in the severe group. TLC was significantly reduced in the severe group compared to mild and moderate group (86.3 ± 16.4 vs 96.2 ± 11.1 and 99.4 ± 16.7, p = 0.03). DLCO was reduced in the severe group compared to other groups, although the difference did not reach statistical significance.

Patients in the severe group were more likely to have abnormal CXR at follow-up compared to mild and moderate groups (56.2 vs. 11.7% and 16.3%, p < 0.001). When comparing abnormal CT findings, patients in the severe group had significantly higher abnormal CT imaging (Table 2). The pattern of injury seen on CT scan was residual ground glass opacities in 32 patients, and reticular and interstitial abnormalities in 3 patients. One patient had pulmonary embolism. The remaining 3 patients had either incidental emphysema or mosaic pattern of attenuation.

Patients requiring admission vs outpatients

We performed a comparison between subjects requiring hospital admission vs those treated as outpatients for the acute COVID-19 illness (Table 3). 55.8% (116) of the patients were hospitalized for an average of 8.92 days (SD = 9.64). Inpatients were older, had more comorbidities, and were more symptomatic during acute COVID-19 illness. There was a significant difference in in oxygen requirement (51.8% of inpatients, 6.6% of outpatients, p < 0.001). In addition, inpatients were more likely to have abnormal CXR (65.5 vs 2.2%, p = 0.09), abnormal CT scan (26.7 vs 0, p < 0.001), and received therapy during their acute illness (Table 3). On follow-up visit, there was no significant difference in residual symptoms or SGRQ score between outpatients and inpatients. Inpatients had significantly decreased SaO2, both at rest (95.7 ± 2.2 vs 96.7 ± 1.6 in outpatients, p < 0.001) and exercise (94.3 ± 3.5 vs. 96 ± 2 in outpatients, p < 0.001). The following lung functions parameters were significantly reduced in inpatients vs outpatients: FEV1, FVC, and TLC (Table 3, Fig. 2b). DLCO was also lower in inpatients vs outpatients, but this did not reach statistical significance (81.2 ± 16.3 vs. 90.2 ± 15.3, p = 0.28). When compared to outpatient, the inpatient group was more likely to have abnormal CXR (37 vs 16.3%, p < 0.001), and abnormal CT scan (28.5 vs 6.5%, p < 0.01).

Table 3.

Comparison of outpatients Vs inpatients

N (%) or Mean ± SD p Value
Outpatients
N = 92
Inpatients
N = 116
Age, years 44.8 ± 115.8 52.8 ± 15.6  < 0.001
Male 50 (54.3) 67 (57.7) 0.62
Female 42 (45.7) 49 (42.3)
Hypertension 13 (14.1) 28 (24.1) 0.07
Diabetes mellitus 7 (7.6) 22 (19) 0.02
Hyperlipidemia 9 (9.8) 31 (26.7)  < 0.001
Cancer 4 (4.3) 12 (10.3) 0.11
Current/past smoking 18 (19.6) 16 (13.8) 0.26
COVID-19 illness
 Cough 55 (59.8) 92 (79.3)  < 0.001
 Dyspnea 26 (28.3) 62 (53.4)  < 0.001
 Fatigue/Weakness 83 (90.2) 103 (88.8) 0.74
 Sao2 91.7 ± 5.7 92.3 ± 6.2 0.31
Oxygen requirements
 No oxygen 86 (93.4) 56 (48.2)  < 0.001
 Supplemental oxygen 6 (6.6) 37 (31.8)
 HFNC 0 (0) 14 (12)
 Mechanical ventilation 0 (0) 9 (8)
CXR
 Not performed 86 (93.5) 6 (5.2) 0.09
 Normal 4 (4.3) 34 (29.3)
 Abnormal 2 (2.2) 76 (65.5)
CT
 Not performed 92 (100) 85 (73.3)  < 0.001
 Normal 0 0 (0)
 Abnormal 0 31 (26.7)
Therapy (at infection)
 Antibiotics 2 (2.2) 25 (21.6)  < 0.001
 Remdesivir 0 41 (35.3)
 Dexamethasone 2 (2.2) 59 (50.9)
 Anticoagulation 1 (1.1) 66 (57.4)
 Other 1 (1.1) 12 (10.3)
Length of stay 0 9 ± 9.6
Follow-up visit
 Follow-up, days 77.6 ± 50 82.2 ± 50 0.48
Residual symptoms
 Asymptomatic 1 (1) 11 (9.5) 0.8
 Pulmonary 17 (18.4) 23 (19.8)
 Extrapulmonary 20 (21.7) 20 (17.2)
 Both 54 (58.6) 62 (53.4)
Dyspnea 51 (55.4) 69 (59.5) 0.56
Cough 23 (25.0) 24 (20.7) 0.46
Exercise intolerance 25 (27.2) 25 (21.6) 0.35
Chest pain 17 (18.5) 17 (14.7) 0.46
Fatigue/weakness 59 (64.1) 67 (57.8) 0.35
Arthralgia/myalgia 25 (27.2) 20 (17.2) 0.08
Hair Loss 15 (16.3) 13 (11.2) 0.28
Anxiety 10 (10.9) 10 (8.6) 0.58
Cognitive dysfunction 29 (31.5) 30 (25.9) 0.37
Anosmia/ageusia 12 (13) 4 (3.4) 0.009
SGRQ 40 ± 25.7 39.2 ± 25.7 0.67
SaO2
 Rest 96.7 ± 1.6 95.7 ± 2.2  < 0.001
 Exercise 96 ± 2 94.3 ± 3.5  < 0.001
FEV1, % predicted 94.2 ± 16.7 88.1 ± 18.4  < 0.001
FVC, % predicted 94 ± 15.4 84.2 ± 19.5  < 0.001
FEV1/FVC, % predicted 81 ± 11 83 ± 10 0.87
RV, % predicted 114.5 ± 50.9 90.5 ± 29 0.13
TLC, % predicted 101 ± 9 87 ± 17.3 0.03
RV/TLC, % predicted 113 ± 50 96 ± 22 0.60
DLCO, % predicted 90.2 ± 15.3 81.2 ± 16.3 0.28
CXR
 Not performed 6 (6.5) 14 (12)  < 0.001
 Normal 71 (77.2) 59 (51)
 Abnormal 15 (16.3) 43 (37)
CT
 Not performed 78 (84.9) 63 (54.3) 0.19
 Normal 8 (8.6) 20 (17.2)
 Abnormal 6 (6.5) 33 (28.5)
Abnormal CT findings 6 (6.5) 33 (28.5)  < 0.001

Major baseline clinical characteristics, residual symptoms, SGRQ score, lung function and imaging findings at follow-up

IHD Ischemic heart disease, SaO2 Oxygen saturation at room air, HFNC High Flow Nasal Cannula, CT computerized tomography, Other therapy include convalescent plasma, anti-IL-6, lopinavir–ritonavir, and hydroxychloroquine, Pulmonary symptoms include: dyspnea, cough, chest pain, and exercise intolerance, SGRQ Saint George Respiratory Questionnaire, SaO2 Oxygen saturation at room air, FEV1 Forced expiratory volume at 1 s, FVC Forced vital capacity, RV Residual volume, TLC Total lung capacity, DLCO diffusion capacity for carbon monoxide, CXR chest X-ray, CT computerized tomography

*p < 0.05

Fig. 2.

Fig. 2

a: Residual symptoms frequency comparison between inpatients and outpatients. *p < 0.05; b: pulmonary function tests parameters on follow-up compared between inpatients and outpatients. *p < 0.05

Predictors of respiratory outcomes

The results are presented in Table 4. The regression model shows that age, SaO2 during acute COVID-19, smoking, and treatment with remdesivir and anticoagulation are associated with an increased probability of having persistent symptoms.

Table 4.

Odds ratio and confidence intervals for predictors of residual symptoms, reduced FVC, abnormal CXR, and CT findings

Residual Symptoms Reduced FVC Abnormal CXR Abnormal CT
Age

0.95**

[0.91, 0.99]

1.03

[0.99, 1.07]

1.11**

[1.05, 1.18]

1.11**

[1.04, 1.18]

Gender (male)

1.62

[0.54. 4.84]

1.08

[0.35, 3.31]

6.12*

[1.36, 27.57]

2.52

[0.58, 10.92]

Any medical history

3.08

[0.93, 10.20]

1.24

[0.35, 4.33]

0.63

[0.14, 2.72]

0.53

[0.12, 2.35]

Cancer

2.52

[0.40, 15.76]

1.29

[0.22, 7.46]

1.23

[0.14, 11.19]

0.13

[0.01, 2.56]

Smoker/past smoker

0.20*

[0.04, 0.95]

1.37

[0.35, 5.41]

1.17

[0.15, 9.32]

0.62

[0.10, 4.01]

Cough on presentation

0.26

[0.06, 1.12]

0.67

[0.18, 2.45]

0.63

[0.10, 3.89]

3.98

[0.62, 25.69]

Dyspnea on presentation

0.60

[0.18, 2.05]

2.74

[0.77, 9.67]

8.93**

[1.71, 46.58]

3.80

[0.46, 31.49]

Fatigue on presentation

0.74

[0.11, 5.09]

1.29

[0.25, 6.70]

1.89

[0.26, 13.72]

3.40

[0.30, 38.40]

SaO2 on presentation

1.16*

[1.03, 1.31]

0.91

[0.81, 1.03]

0.93

[0.78, 1.11]

0.93

[0.83, 1.05]

Respiratory support

0.58

[0.08, 4.11]

1.19

[0.12, 11.66]

4.03

[0.28, 58.47]

2.33

[0.11, 48.09]

Antibiotics treatment

2.33

[0.61, 8.95]

0.20

[0.03, 1.18]

2.74

[0.59, 12.82]

2.11

[0.50, 8.93]

Remdesivir treatment

6.56*

[1.21, 35.51]

0.39

[0.06, 2.33]

2.94

[0.39, 22.38]

0.81

[0.11, 6.27]

Dexamethasone treatment

0.45

[0.05, 4.40]

3.37

[0.25, 53.77]

0.18

[0.01, 5.39]

0.04

[0.00, 1.12]

Anticoagulation treatment

7.43*

[1.01, 54.47]

0.13

[0.01, 1.33]

1.02

0.08, 13.33]

10.02

[0.84, 119.12]

SaO2 oxygen saturation on room air

*p < 0.05

Respiratory outcomes included reduced FVC, abnormal CXR, and abnormal CT findings at follow-up. Older age, male gender, and dyspnea during acute illness were associated with a higher likelihood of abnormal CXR at follow-up (OR = 1.11, 6.12, and 8.93, respectively). Older age was associated with a higher likelihood of abnormal CT findings at follow-up (OR = 1.11).

Discussion

In this study, we found that survivors of COVID-19 continue to suffer from reduced quality of life and residual symptoms, particularly shortness of breath and fatigue, 12 weeks after acute disease. Prolonged symptoms are present regardless of initial disease severity. Patients with severe initial COVID-19 have greater impairment of lung function and more frequent abnormal imaging findings at 3 months as compared to patients with mild or moderate diseases.

To our knowledge, only a few studies with a small number of subjects have compared the frequency of prolonged symptoms in COVID-19 survivors with different disease severity [14, 21]. Symptoms following acute COVID-19 are common and have been well documented. Our findings are consistent with previous studies that report that fatigue and shortness of breath are the most common residual symptoms in survivors of COVID-19 [1115, 1822]. Persistent symptoms are extremely common, even in patients with mild acute disease. This group accounts for the large majority of COVID-19-infected patients, most of whom are outpatients. Abdallah et al. showed persistent fatigue and exertional breathlessness in 81.6% of non-hospitalized COVID-19 survivors, but without impairment of lung function or cardiopulmonary exercise test [21]. Logue et al. reported persistent symptoms in 65.3% of 150 outpatients with mild disease [11]. Other studies show similar findings [12, 14, 15, 22]. Our study and others clearly demonstrate that even patients who suffered from mild acute COVID-19 disease frequently develop a wide range of residual symptoms with ongoing disability and impaired quality of life, but without abnormalities in pulmonary function tests or imaging studies.

In contrast to mild disease, survivors of severe COVID-19 had significant pulmonary sequelae, with evidence of reduced FEV1, FVC, and TLC, and abnormal chest imaging (CXR or CT) at 3 months of follow-up. Our findings are consistent with previous reports that focused on the evaluation of severe COVID-19 survivors [1719, 28]. A reduction in diffusion capacity is the most commonly reported physiologic impairment in these patients [5], although in our study, the difference in DLCO did not reach statistical significance.

Persistent morbidity/disability occurring during follow-up in patients with severe COVID-19 is usually relatively easy to identify on pulmonary function tests and/or imaging. Conversely, in mild cases, symptoms at follow-up seem to occur independent of pulmonary function or imaging abnormalities. Our findings are consistent with previous studies which show that persistent symptoms and poor health following COVID-19 infection are not related to initial disease severity [12, 14]. Although the exact mechanism of residual symptoms is not fully clear, prolonged inflammation, immune-mediated vascular dysfunction, and thromboembolism are among the major explanations [29]. Havervall et al. [12] reported the presence of moderate-to-severe symptom lasting at least 2 months in 26% of participants who were seropositive to anti-spike IgG vs. 9% in seronegative participants. These findings might suggest that positive anti-spike IgG may play a role in the occurrence of residual symptoms.

Our findings highlight the fact that inpatients and survivors of severe COVID-19 should be the main focus of follow-up and may benefit from a systematic approach to evaluate for the presence of residual pulmonary injury. Given the significant morbidity that SARS-CoV-2 continue to cause, more survivors of severe COVID-19 are expected to present to post-COVID outpatient clinics or continue to be managed into medical departments. Thus, there is a need for early identification of those patients, rigorous follow-up protocol, and early treatment of their pulmonary sequelae. More accurate predictors for early identifications such as molecular biomarkers may help in identifications of these patients and preventing persistent pulmonary damage.

The management of post-COVID is still an area of active research, and treatment of a subset of pulmonary residual damage with corticosteroids may be beneficial. Our study was not designed to address this question, but findings show that majority of the patients with post-COVID residual pulmonary damage had inflammatory lung disease consistent with organizing pneumonia or ground glass opacities on CT scan. A majority of our severe patient group were treated with corticosteroids. One small UK cohort demonstrated significant symptomatic and radiological improvement of similar patients with corticosteroids [29]. Thus, corticosteroids should be considered as a treatment option for a subset of post-COVID patients with inflammatory pulmonary complications.

Our study has several limitations. This is a single center cohort analysis, follow-up was evaluated within 12 weeks from initial disease, and longer term data are not yet available. Patient selection for our cohort is subject to bias as we included “all comers” to the hospital post-COVID clinic. There are many factors which may have influenced which patients arrived for follow-up, with symptomatic patients more likely to come for follow-up visits than those who have no residual manifestations. We are thus likely to have overestimated poor health and residual symptoms in our cohort, particularly in the mild patient group. Not all patients agreed to perform all follow-up tests, such as X-ray and pulmonary function tests, but this is unlikely to have significantly influenced overall findings. Finally, we did not assess anxiety and depression using a valid tool, and relied on patient reporting only.

Conclusion

We interpret our study findings in the following way: post-COVID-19 symptoms should be considered as following two different trajectories, which certainly overlap and often coexist, but require different approaches for treatment and follow-up. First, non-specific ill-defined symptoms are extremely common and seem to be as frequent following mild as following more severe acute COVID disease. This group of patients is no-doubt very diverse and is likely to include both inpatients and outpatients. The pathophysiological basis for these symptoms is unclear, as is treatment. For many of these patients, health advice and reassurance may suffice. The second trajectory includes patients with evidence of end-organ injury, particularly respiratory impairment, but also cardiac, neurological, and other pathologies. Extensive laboratory evaluation such as full pulmonary function tests, imaging, and echocardiography, etc. should be limited to the latter group of patients.

Acknowledgements

Not applicable.

Abbreviations

COVID

Coronavirus induces disease

SARS-Cov-2

Severe acute respiratory syndrome coronavirus 2

FEV1

Forced expiratory volume in second 1

FVC

Forced vital capacity

TLC

Total lung capacity

RV

Residual volume

Dlco

Diffusion capacity of carbon monoxide

CT

Computerized tomography

PFT

Pulmonary function tests

SaO2

Oxygen saturation

SGRQ

Saint George respiratory questionnaire

CXR

Chest X-ray

HFNC

High flow nasal cannula

Author contributions

FD: is the guarantor of the article and takes responsibility for the integrity of the work, including data and analysis of the article. FD and NB: conceptualized the research aims and planned the analyses. AAR, KK, DP, UL, ZF, RK, and PGC: collected the clinical data. FD: participated in processing data and performing the statistical analysis. RK and NB: wrote part of the manuscript. FD: wrote the manuscript. All authors contributed to the acquisition, analysis, or interpretation of data. All authors revised the report and approved the final version before submission.

Funding

No financial grants or funding sources.

Data availability

The data will not be shared to reserve patient privacy and not signing them on this issue as a part of the informed consent.

Declarations

Conflict of interests

The authors declare that they have no competing interests.

Ethical approval

The study protocol was approved by the ethics committee of Hadassah—Hebrew University Medical Center (number HMO-0294–20) and informed consent was obtained from all participants in the study.

Consent for publication

Informed consent was obtained from all participants in the study.

Human and animal rights statement

As mentioned in methods and declarations, all patients signed on informed consent before entering the study. No animals included in the study.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

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

Data Availability Statement

The data will not be shared to reserve patient privacy and not signing them on this issue as a part of the informed consent.


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