Skip to main content
PMC home page
Frontiers in Medicine logoLink to Frontiers in Medicine
. 2021 Nov 30;8:758405. doi: 10.3389/fmed.2021.758405

Short-Course of Methylprednisolone Improves Respiratory Functional Parameters After 120 Days in Hospitalized COVID-19 Patients (Metcovid Trial): A Randomized Clinical Trial

Camila Miriam Suemi Sato Barros 1,2, Raissa Soares Freire 1,2, Elisângela Frota 1,2, Anna Gabriela Rezende Santos 1,3, Maria Eduarda Leão Farias 4, Maria Gabriela Almeida Rodrigues 1,2, Bernardo Maia Silva 1,2, Christiane Maria Prado Jeronimo 1,2, Rebeca Linhares Abreu Netto 1,2, Mayla Gabriela Silva Borba 1,2, Djane Baía-da-Silva 1,2, José Diego Brito-Sousa 1,2, Mariana Simão Xavier 5, Marcia Almeida Araújo-Alexandre 1, Vanderson Souza Sampaio 1,2,6, Gisely Cardoso Melo 1,2, Guilherme Tinoco Arêas 7, Ludhmila Abrahão Hajjar 8, Wuelton Marcelo Monteiro 1,2, Felipe Gomes Naveca 4, Fábio Trindade Maranhão Costa 9, Fernando Fonseca Almeida Val 1,2,3, Marcus Vinícius Guimarães Lacerda 1,2,4,*; The Metcovid team
PMCID: PMC8669506  PMID: 34917633

Abstract

Background: The use of corticosteroids may help control the cytokine storm occurring in acute respiratory failure due to the severe form of COVID-19. We evaluated the postacute effect of corticosteroids used during the acute phase, such as impairment in pulmonary function parameters, on day 120 (D120)-follow-up, in participants who survived over 28 days.

Methods: This is a parallel, double-blind, randomized, placebo-controlled phase IIb clinical trial carried out between April 18 and October 9, 2020, conducted in hospitalized patients with clinical–radiological suspicion of COVID-19, aged 18 years or older, with SpO2 ≤ 94% on room air or requiring supplementary oxygen, or under invasive mechanical ventilation (IMV) in a referral center in Manaus, Western Brazilian Amazon. Intravenous methylprednisolone (MP) (0.5 mg/kg) was given two times daily for 5 days to these patients. The primary outcome used for this study was pulmonary function testing at day 120 follow-up visit.

Results: Out of the total of surviving patients at day 28 (n = 246) from the Metcovid study, a total of 118 underwent satisfactory pulmonary function testing (62 in the placebo arm and 56 in the MP arm). The supportive treatment was similar between the placebo and MP groups (seven [11%] vs. four [7%]; P = 0.45). At hospital admission, IL-6 levels were higher in the MP group (P < 0.01). Also, the need for ICU (P = 0.06), need for IMV (P = 0.07), and creatine kinase (P = 0.05) on admission also tended to be higher in this group. In the univariate analysis, forced expiratory volume on 1st second of exhalation (FEV1) and forced vital capacity (FVC) at D120 follow-up were significantly higher in patients in the MP arm, being this last parameter also significantly higher in the multivariate analysis independently of IMV and IL-6 levels on admission.

Conclusion: The use of steroids for at least 5 days in severe COVID-19 was associated with a higher FVC, which suggests that hospitalized COVID-19 patients might benefit from the use of MP in its use in the long-term, with less pulmonary restrictive functions, attributed to fibrosis.

Trial Registration: ClinicalTrials.gov, Identifier: NCT04343729.

Keywords: SARS-CoV-2, COVID-19, pulmonary function test, long-covid, corticosteroid, inflammation, coronavirus, Brazil

Introduction

Most coronavirus disease 2019 (COVID-19) cases are either asymptomatic or of mild clinical presentation; nevertheless, a substantial number of individuals develop respiratory illness and require hospital care (1, 2). The most common clinical presentation of severe COVID-19 is acute respiratory failure consistent with acute respiratory distress syndrome (ARDS) and multiorgan failure (2). SARS-CoV-2 targets the receptor angiotensin-converting enzyme 2 (ACE-2) in human cells and causes the activation of alveolar macrophages and subsequent inflammatory response (3). This further induces airway inflammation, impairs alveolar gas diffusion, reduces lung ventilation, and worsens ventilation–perfusion mismatch (4, 5). An abrupt increase in inflammatory mediators can explain lung tissue damage in patients with COVID-19, known as “cytokine storm” (6). The release of proinflammatory cytokines increases the risk for vascular hyperpermeability, abnormal blood clotting, and multiple organ damage (7). The use of corticosteroids may help control this cytokine storm, mitigating tissue damage and ultimately fibrosis (8).

Despite robust evidence on the improvement of ARDS secondary to glucocorticoids (9), their efficacy on respiratory distress and ARDS secondary to viral infections have been controversial for influenza, SARS-CoV-1, and MERS-CoV (10–13), and COVID-19 is not an exception (14–17). However, until now, the impact of glucocorticoids in the long-term complications of COVID-19 has not been totally elucidated as most of the trials have mortality short-term primary endpoints (16–18), lacking a prospective cohort study design able to better understand this association. The longest known follow-up period to date was 60 days in a study in which intravenous dexamethasone at 24 h of moderate-to-severe ARDS onset has shown to significantly reduce all-cause mortality (19). The long-term complications of COVID-19 are still being published as the major cohorts are being followed, and their relevance is still a worldwide matter of debate (20). The aim of this study was to evaluate the postacute effects of corticosteroids used during the acute phase of severe COVID-19 in hospitalized patients and determine whether a short course of MP is associated with improvement in respiratory function at day 120 (D120) follow-up visit in these patients.

Materials and Methods

Study Design

Metcovid was a parallel, double-blind, randomized, and a placebo-controlled phase IIb clinical trial carried out between April 18 and October 9, 2020. The study aimed to assess the safety and efficacy of intravenous methylprednisolone (MP) sodium succinate (0.5 mg/kg) two times daily for 5 days in hospitalized patients with suspected COVID-19. Methods, eligibility criteria, and data on the major results until day 28 (D28) (primary outcomes) have already been published elsewhere (15). We followed-up all survivors and performed pulmonary function and physical capacity tests at D120 posthospital discharge. These data are presented here.

Study Location and Population

Metcovid trial was conducted at Hospital e Pronto-Socorro Delphina Rinaldi Abdel Aziz, in Manaus, Western Brazilian Amazon (the largest public reference unit with a 100-intensive-care-bed capacity dedicated exclusively for the treatment of severe COVID-19 cases in town). Metcovid trial included hospitalized patients with clinical–radiological suspicion of COVID-19, aged 18 years or older at the time of inclusion, with oxygen saturation (SpO2) ≤ 94% in room air or requiring supplementary oxygen or under invasive mechanical ventilation (IMV). All discharged participants were asked to return for a follow-up visit on D120 after study randomization. All participants who died between D28 to D120 and who refused to return to the hospital were excluded, as were patients with altered blood pressure levels, which consists of a contraindication to perform spirometry tests, and poor-quality spirometry, which invalidates the test.

Procedures

Procedures on Enrollment (Metcovid Trial: D1)

Computed tomography (CT) imaging, clinical, and laboratory information throughout hospitalization (from the day of enrollment to D28) are also presented for all surviving patients. Briefly, hematology and biochemistry analyses were performed in automated machines. Plasma samples from D1 were used for the measurement of human IL-6 by enzyme-linked immunoassay (ELISA) following the manufacturer's recommendations (R&D Systems, DY206). Two nasopharyngeal or one oropharyngeal swab (per institutional protocol) were used to extract viral ribonucleic acid (RNA) and were tested for SARS-CoV-2 using the one-step multiplex reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR). Randomization procedures have already been published elsewhere (15). Briefly, an independent statistician prepared an electronically generated randomization list with 14 blocks of 30 participants per block, generated via R software version 3.6.1 (Blockrand package), accessible only to the study non-blinded pharmacists. Participants were randomized by the study pharmacist at the time of inclusion and were subsequently identified by their participant identification number.

Procedures on Long-Term Follow-Up (D120)

The D120 follow-up visit consisted of applying several instruments to evaluate the participant's respiratory functional status, including pulmonary function test, maximal respiratory pressures testing (manovacuometry), Duke activity status index (DASI) questionnaire, 6-min walk test, vital signs, and symptoms assessment. Need for medications between D28 and D120 was also registered. All data were recorded online in an electronic medical recording system (Medview version 710801 and Esthor) and then registered in an electronic database (REDCap).

Pulmonary Function and Maximal Respiratory Pressures Testing

The pulmonary function test was assessed using the Microquark spirometer (Cosmed®, Italy). The test was carried out following recommendations of the American Thoracic Society/European Respiratory Society (ATS/ERS) guidelines (21). Briefly, the following parameters were assessed: forced vital capacity (FVC), forced expiratory capacity at the first second of exhalation (FEV1), FEV1/FVC ratio, forced expiratory flow (FEF 25-75), peak expiratory flow (PEF) according to their predicted values (21). All participants were given eight consecutive opportunities at max to perform two acceptable curves in the pulmonary function test (21). Only participants who performed maneuvers graded A and B, which are considered as acceptable curves according to the manufacturer's recommendations, were included and analyzed. Participants presenting to the D120 follow-up visit with altered blood pressure levels or incapability of following test instructions did not perform the test. All pulmonary function test measurements were performed by three trained and harmonized study staff.

Maximal respiratory pressure assessment consists of a non-invasive method for evaluating respiratory muscle strength (RMS). The test was performed using the MVD300-U digital manovacuometer (Homed®, Brazil). Testing was performed according to the ATS/ESR recommendations (22). Maximum inspiratory pressure (PImax) and maximum expiratory pressure (PEmax) were evaluated.

Other Functional Assessments

The Duke activity status index (DASI) is a standardized questionnaire correlated with gold-standard measures of functional capacity (23). It has been developed and validated against exercise test derived metabolic equivalents and peak oxygen consumption and consists of a 12-item self-reported questionnaire about usual physical activities. The minimum possible DASI score is 0, and the maximum possible score is 58.2. Higher scores indicate greater levels of fitness.

The 6-min walk test (6MWT) is a submaximal exercise test that evaluates functional capacity. The test captures concomitant extrapulmonary manifestations of respiratory, cardiovascular, frailty, muscle alterations, and others. It consists of the participant walking at their own pace in a 30-meter unobstructed long corridor for 6 min. The walked distance (6MWD) is then measured in meters. Before and after the test, heart rate, blood pressure, peripheral oxygen saturation (SpO2), and Borg dyspnea sensation were measured. The assessment was performed according to ATS guidelines (24). To show the real physical capacity we used the percentage of the predicted value for the Brazilian population (25).

Statistical Analysis

The sample size calculation for the primary endpoints of the Metcovid trial is described elsewhere (15). Briefly, sample size was calculated assuming a 50% case-lethality rate among critically ill patients (26) and that MP would reduce case-lethality by 50%. Accounting for a test of differences in proportions between the two groups of the same size, a power of 80% and an alpha of 5%, a total of 378 participants were needed (189 per group). With the addition of 10% for losses, a final sample size of 416 participants was obtained. Sampling was performed with R software version 3.6.1 (TrialSize and gsDesign packages).

The D120 follow-up visit was performed only in patients who have survived and agreed to perform this visit. Pulmonary function outcomes were exploratory in the Metcovid trial, and therefore, the sample size calculation was not performed for these outcomes. To ensure that the effect of randomization was not lost, univariate analysis on baseline variables was performed to check for differences among the groups. Therefore, a multivariate log-binomial generalized linear regression analysis was performed regarding pulmonary functional assessment to avoid eventual biases between the groups. Mean and standard deviation (SD) were calculated when distributions were confirmed as normal. Otherwise, data were expressed as medians and interquartile ranges (IQR). For qualitative variables, Chi-square or Fisher's exact test were used accordingly. T-test or Wilcoxon Ranksum test were used for means or median comparisons when appropriate. Furthermore, to analyze the effects size of functional and respiratory measurements, we used the G*Power 3.0 software. Cohen's d for interpretation was accepted. A significance level lower than 5% was considered. Stata 13.0 software was used.

Ethical Aspects

This study was conducted following the Declaration of Helsinki principles and the Good Clinical Practice guidelines of the International Conference on Harmonization. The protocol was approved by the Brazilian Committee of Ethics in Human Research (CONEP – CAAE 30615920.2.0000.0005), clinical Trials registration number NCT04343729. All hospitalized patients were screened for study eligibility criteria. Eligible participants were informed about the objectives, risks of participation, and only then were invited to participate. All were given time to carefully read and then sign an informed consent form (ICF). If the participant was not able to properly consent study participation, e.g., sedated at the ICU, the consenting process was performed with the participant's legal representatives. For study participants who could not sign themselves the ICF during the hospitalization period, a reconsent was performed at the D120 follow-up visit.

Results

A total of 246 patients completed the D28 follow-up in the Metcovid trial. The details and results of the trial are presented elsewhere (15). Out of these, a total of 14 (5.7%) patients died between D28 and D120 follow-up visits, and 72 (29.3%) refused to come back for additional evaluation. Importantly, Manaus was still presenting a high number of cases and deaths due to COVID-19 by the time of this study and there was no vaccine available, which may account for the high rate of refusals. A total of 160 (65.0%) were, therefore, evaluated on day 120 follow-up visit, of which 118 (73.75%) underwent satisfactory pulmonary function testing (62 in the placebo arm and 56 in the MP arm) (Figure 1). The data of these participants are presented here.

Figure 1.

Figure 1

Open in a new tab

Study flow chart of the Metcovid trial survivors who performed pulmonary function test.

Baseline characteristics (D1, at hospital admission) of the 118 analyzed patients are shown in Table 1. Of these, most patients were men (n = 64, 54.2%), of admixed race (n = 86, 72.9%) with a mean age of 49.3 ± 13.2 years and a median body mass index of 30.2 kg/m2 (IQR: 27.0–35.4). Age was not different at baseline between groups 49.3 (14.7) and 49.3 (11.5) (P = 0.06) for the control and MP groups, respectively. The SARS-CoV-2 RT-PCR was positive for 91 (86.7%) participants (47 [87.0%] and 44 [86.3%] in placebo and MP, respectively). The distribution of comorbidities (i.e., diabetes, chronic obstructive pulmonary disease, and hypertension) or even smoking history was similar between groups. Groups were homogenous regarding all previous variables. Nonetheless, and despite following all eligibility criteria and blinded randomization procedures at hospital admission, but considering that only those who survived and agreed to perform the day 120 follow-up visit, the baseline IL-6 levels were higher in the MP group (P < 0.01). Also, the distribution of participants presenting major clinical outcomes, as the need for ICU on admission (P = 0.06) and IMV (P = 0.07), tended to be different between groups, but not statistically significant. All baseline (D1) demographic, clinical, laboratory, and radiological findings of survivors of COVID-19 which returned on follow-up visit at D120 follow-up visit, and major therapeutical interventions from D1 to D120, are presented. No major differences were seen.

Table 1.

Baseline (D1) demographic, clinical, laboratory, and radiological findings of survivors of COVID-19 which returned on follow-up visit 120 days, and major therapeutical interventions from D1 to D120.

Total n = 118 Placebo n = 62 MP n = 56 P
Age, years, mean (SD) 49.3 (13.2) 49.3 (14.7) 49.3 (11.5) 0.06
Gender (women) n (%) 54 (45.8) 31 (50.0) 23 (41.1) 0.33
BMI, kg/m2, median (IQR) 30.2 (27.0–35.4) 31.9 (27.5–35.6) 29.6 (26.3–34.3) 0.23
Smoking history n (%) 47 (39.8) 21 (33.9) 26 (46.4) 0.16
Alcohol use disorder n (%) 33 (28.0) 20 (32.3) 13 (23.2) 0.27
Diabetes n (%) 30 (25.4) 17 (27.4) 13 (23.2) 0.60
Chronic pulmonary obstructive disease, n (%) 1 (0.9) 1 (1.6) 0 (0.0) 1
Hypertension n (%) 43 (36.4) 23 (37.1) 20 (35.7) 0.88
ICU on admission n (%) 6/94 (6.4) 1/50 (2.0) 5/44 (11.4) 0.06
IMV on admission n (%) 6 (5.1) 1 (1.6) 5 (8.9) 0.07
Oxygen saturation (SpO2) median (IQR) 97.0 (95.0–98.0) 97.0 (96.0–98.0) 96.0 (95.0–98.0) 0.17
Creatine kinase, U/L, median (IQR) 76.3 (39.9–144.1) 60.3 (32.4–120.3) 87.4 (46.3–194.1) 0.05
Creatine kinase MB, U/L, median (IQR) 18.2 (12.0–23.1) 18.3 (12.8–20.7) 16.3 (10.9–24.0) 0.90
Lactate dehydrogenase, U/L, median (IQR) 617.0 (307.0–892.0) 473.0 (307.0–845.0) 681.5 (267.0–942.0) 0.57
D–dimer, ng/mL, median (IQR) 641.3 (458.0–1576.2) 830.0 (471.1–1576.2) 511.4 (451.6–704.0) 0.27
C–reactive protein, mg/L, median (IQR) 66.7 (29.1–87.3) 57.4 (15.5–83.5) 73.3 (45.8–90.8) 0.10
IL−6, pg/mL, median (IQR) 31.8 (8.3–82.2) 15.7 (6.8–61.9) 52.6 (17.4–131.0) <0.01
Ground-glass opacity infiltration n/N (%) 84/89 (94.4) 43/46 (93.5) 41/43 (95.3) 0.70
Consolidation n/N (%) 79/89 (88.8) 40/46 (87.0) 39/43 (90.7) 0.58
Unilateral consolidation n/N (%) 7/89 (7.9) 4/46 (8.7) 3/43 (7.0) 0.76
Bilateral consolidation n/N (%) 72/89 (80.9) 36/46 (78.3) 36/43 (83.7) 0.51
Pleural effusion n/N (%) 18/89 (20.2) 7/46 (15.2) 11/43 (25.6) 0.22
qSOFA score ≥2 n (%) 16 (13.6) 8 (12.9) 8 (14.3) 0.83
Open in a new tab

MP, methylprednisolone; SD, standard deviation; ICU, intensive care unit; IMV, invasive mechanical ventilation; BMI, body mass index; kg, kilogram; m, meter; IQR, interquartile range; IL, interleukin; qSOFA, quick Sepsis Related Organ Failure Assessment. Bold value means statistically significant p-values.

Regarding the pulmonary function testing, the FEV1 and FVC values were statistically higher in the MP group at D120 follow-up visit, showing better outcomes in this group. Table 2 shows the results of pulmonary function tests and RMS among the studied population in the follow-up visit. In the univariate analysis, FEV1 (2.6, [0.7], P = 0.01) and FVC (3.2, [0.8], P = 0.01) are significantly higher in patients in the MP arm. Furthermore, both variables showed moderate effects size (0.40 and 0.37, respectively). In the multivariate analyses, controlled for IMV and IL-6 levels in baseline, FVC (3.2, [0.8], P = 0.01) still showed to be significantly higher in MP arm. The percent of predicted FEV1 and FVC in the total number of patients were within normal range (87.0% ± 21.5 and 94.6% ± 39.5, respectively), with no significant differences between the groups (P = 0.20). There was no statistically significant difference between groups for the other pulmonary function parameters.

Table 2.

Functional and respiratory measurements outcomes on D120 follow-up visit.

Total n = 118 Placebo n = 62 MP n = 56 Univariate P Multivariate* P Effects size Cohen's D
FEV1 percent of predicted (%, SD) 87.0 (21.5) 84.6 (25.4) 89.7 (15.9) 0.20 0.40 0.24
FEV1 (L, SD) 2.4 (0.8) 2.3 (0.8) 2.6 (0.7) 0.01 0.12 0.40
FVC percent of predicted (%, SD) 94.7 (39.5) 96.9 (53.0) 92.3 (13.4) 0.52 0.11
FVC (L, SD) 3.0 (0.8) 2.9 (0.8) 3.2 (0.8) 0.01 0.01 0.37
FEV1/FVC 79.4 (11.7) 78.4 (14.0) 80.5 (8.4) 0.33 0.94 0.18
PImax (cm H2O, SD) 93.9 (32.3) 96.0 (34.6) 91.8 (29.9) 0.49 0.74 0.13
PEmax (cm H2O, SD) 107.8 (35.5) 107.8 (36.6) 107.7 (34.7) 0.99 0.18 <0.01
DASI VO2 peak estimate(mL/kg/min, SD) 27.6 (6.0) 27.1 (6.0) 28.2 (6.1) 0.31 0.11 0.18
DASI score, SD 41.9 (14.1) 40.6 (13.9) 43.3 (14.2) 0.31 0.10 0.19
6MWD (m, SD) 385.9 (89.4) 384.2 (93.8) 387.7 (85.4) 0.84 0.23 0.03
6MWD percent of predicted (%, SD) 64.9 (19.8) 63.0 (22.1) 66.9 (17.0) 0.29 0.19
Open in a new tab

FVC, Forced vital capacity; FEV1, Forced expiratory volume on 1st second; PEF, peak expiratory flow; PImax, Maximum static inspiratory pressures; PEmax, Maximum static expiratory pressures; 6MWD, 6 min walk distance; DASI, Duke Activity Status Index; VO2, oxygen uptake; SD, standard deviation; IQR, interquartile range.

*

Controlled for IMV need and IL-6 levels. Bold value means statistically significant p-values.

Discussion

This study evidences that a short course of intravenous MP during the acute phase of COVID-19 in hospitalized patients resulted in significant and statistically higher FEV1 and FVC respiratory functional parameters at a D120 follow-up visit, showing a positive lasting effect of the MP intervention for this population in comparison with the other group. Corticosteroids seem to play an important role in reducing lung tissue damage during the unregulated inflammatory process, a prominent feature of ARDS associated with SARS-CoV-2 infection (8, 27, 28). Also, the use of corticosteroids in COVID-19 is supported by the existing evidence of randomized clinical trials and observation studies; nonetheless, the type, dosage, starting time, and duration still need more research (14, 29, 30). Despite that, the latest guidelines recommend using a short course of systemic corticosteroids over not using corticosteroids in adults with severe or critical COVID-19 (31). The long-term pulmonary sequelae of COVID-19 are still unknown. Viral lung infections by SARS-CoV-1, MERS, and influenza H1N1 and H7N9 reveal that after recovery, patients may suffer irreversible pulmonary dysfunction and present residual images or functional abnormalities, which can also occur in COVID-19 (32–40). In this study, participants who were randomized in the MP group had improved respiratory function within a 120-day period, which seems to be a relevant effect of the use of corticosteroids in the long-term for severe and critical COVID-19 patients, which gives new venues regarding the benefits of such therapy in the long-term.

Evidence of the pulmonary function profile in patients with COVID-19 is currently limited to reasonably small sample studies and short-term follow-up, especially in critical participants. However, patients may present improvement in respiratory function and quality of life about 6 weeks after the disease, but there are still some degrees of restrictive abnormalities (41). Studies show discrete changes in pulmonary function parameters (changes in FVC, FEV1, and FEV1/FVC parameters) with restrictive changes, and to a lesser extent obstructive disorders at the time of hospital discharge and 30 days postinfection (42–47), an aspect also present in this study 120 days after beginning the treatment, with patients who used MP presenting less impairment.

In our study, FEV1 and FVC of patients in the MP group were higher than in the control group. In the multivariate analysis, FVC persisted significantly higher, independently of IMV need and IL-6 levels (a proxy of level of inflammation during the acute phase). IL-6 was higher in MP arm in the baseline, indicating that the MP group had more inflammation at baseline, and still, both FEV1 and FVC were higher in the study intervention group, which may indicate that the intravenous MP during hospitalization may help in long lung protection. Wang JY and colleagues (46) did not observe changes in predicted FEV1 (81.1%) and FVC (82.5%); moreover, slight impairment of the diffusion capacity corrected for carbon monoxide (DLCOc, 67.08 of the predicted value) after discharge was visualized. Otherwise, Zhao and colleagues (32) demonstrated a low frequency of spirometry changes (CPT reduction in 7.27, FEV1 in 10.91, FVC in 10.91, DLCO in 16.36, and alteration of small airways in 12.73) and a positive correlation between D-dimer levels at admission and diffusion deficiency (27). In our study, we did not evaluate the gas diffusion in the lung (DLCo).

Several autopsy studies showed histological alterations consistent with ARDS in the lungs of COVID-19 patients (48–51). Pulmonary fibrosis is a very-well recognized consequence of ARDS. A fibrotic pattern has been shown to occur in up to 22% of deceased patients with COVID-19, generally 3 weeks after symptoms onset, and mainly in those with preexisting lung diseases (46). For instance, corticosteroids have presented efficacy in treating acute fibrinous and organizing pneumonia, an acute diffuse lung injury (52).

Despite evidence of early stage pulmonary tissue abnormalities in COVID-19-associated ARDS, especially when comparing survivors and non-survivors (53), the persistence of pulmonary sequelae in recovering COVID-19 patients has been a matter of increasing debate (8). Evidence from literature shows that more than 70% of participant who recover from ARDS, irrespective of the underlying cause, develop some sort of abnormal imaging after 6 months (54). Nonetheless, preliminary evidence on patients with mild-to-moderate forms of COVID-19 has shown recovery over-time of pulmonary opacities in CT imaging, with no evidence of pulmonary fibrosis (20). On the other hand, high resolution CT performed in SARS-CoV-2-related ARDS survivors treated with prolonged low-dose MP after hospital discharge demonstrated parenchymal alterations at 3 months after discharge from severe COVID-19 pneumonia (55). The present study shows that FEV1 and FVC were within the normal range, but increased in the MP group. However, although both groups had similar CT impairment in baseline, the MP arm developed less respiratory dysfunction, which could indicate resolution and/or functional adaptation to exercise. This needs to be properly investigated in the future. The results of this study may shed light on the benefit of a short-course of intravenous MP early in hospitalization, leading to pulmonary protection, in some extent, even after 120 days.

This study has several limitations. Lung function testing was not performed during hospitalization or discharge. This compromised the comparison of respiratory functional changes between the acute disease and at discharge with the postacute phase. Also, the DLCo was not measured, which could shed further insights into alveolar tissue damage and its repercussion on functional capacity. Nonetheless, it is important to mention that spirometry is widely available and used more routinely, becoming more applicable in clinical practice, especially in low and middle incomes countries, in comparison to assessing the diffusing capacity of the lungs for carbon dioxide. Many hospitalized participants in the Metcovid trial were unwilling to return to the D120 follow-up visit due to several reasons, which further reduced the final study sample. Also, not all were able to perform adequate respiratory functional testing. However, we have mitigated this effect by performing regression analyses.

In conclusion, a short course of intravenous MP was found to be associated to better respiratory functional assessments 120 days after hospitalization when used in the acute phase of COVID-19 in hospitalized patients. These results seem to indicate that this intervention could have an important role in long-term pulmonary protection for this type of patients. It is important to mention that intravenous MP was the intervention studied in the Metcovid trial, and results from respiratory functional assessments performed 120 days after hospitalization, which are described here, are probably results from the combination of other concomitant therapies and clinical management during hospital care, which were equally available to all participants in both the groups. Larger sample sizes and more extended follow-up periods are still necessary to better understand chronic outcomes of severe and critical COVID-19 clinical presentations.

Group Information

Metcovid Team (in alphabetical order): Adria de Lemos Vasconcelos, Adriana Ferreira Praia Marins, Alexandre de Oliveira Trindade, Aline Sales Mendes Záu, Amanda Carvalho de Oliveira, Ana Carolina Azevedo Furtado, Ana Paula Coelho Rocha, Anderson da Silva Souza, Andiana de Souza Dias, Aníbal Belém, Antonny Michael da Silva Sousa, Beatriz França da Silva, Beatriz Leitão Franco, Bleno Leonam Gonçalves da Costa, Carla C. Judice, Carlos Eduardo Padron de Morais, Danielle Severino Sena da Silva, Debora Camila Gomes Duarte, Ejandre Garcia Negreiros da Silva, Elias da Silva Lemos, Elizandra Freitas do Nascimento, Elson Silva de Almeida, Elyana Almeida Marques, Emanuel Medeiros Marinho de Almeida, Emanuelle Lira da Silva, Ester Galvão dos Santos, Ezequiel da Silva Oliveira, Fábio Manabu Martins Shimizu, Fabíola Ramalho Ferreira de Souza, Felipe da Silva do Vale, Fernanda dos Santos de Almeida Lima, Fernando Hugo Jesus da Fonseca, Flávia Alencar Fontenelle, Francielen de Azevedo Furtado, Gabrielle Da Silva Pereira, Geísa Aleixo Bezerra, Guilherme Kemeron Maciel Salazar, Handerson da Silva Pereira, Hilda Ferreira de Melo, Ingrid Nascimento Oliveira, Ivanildo Vieira Pereira Filho, Jaily e Silva Rosa, Jacimara Vasques Gomes, Jonas Mota Lemos, Josué Nélio Brutus, Karina Pinheiro Pessoa, Laleyska Deucylane Costa Rodrigues, Larissa Esthefani Barros Cirino, Lauro Fragata Mourão Filho, Leandro Moura, Lorenna Pereira de Souza, Lucas Barbosa Oliveira, Marcela Menezes dos Santos, Marcus Vinicius Ramos da Silva, Mauro Pereira Rodrigues, Mayara Tavares de Menezes, Micaela Maciel dos Santos Mota, Nadya Fonseca Corrêa, Najara Bittencourt, Nagila Morais Rocha, Natália Guedes de Melo Silva, Priscilla de Oliveira Saraiva, Quézia de Sousa Monteiro, Rafael Theodoro dos Santos, Rebecca Augusta de Araújo Pinto, Rodrigo Saboia de Lima Reinan Brotas Ferreira, Rosângela Francisca Tanantas de Melo, Sabrina Teixeira Saenz, Salete Sara Alvarez Fernandes, Sheila Vítor-Silva, Thalie Cavalcante Santos, Tânia Maria Rodrigues de Oliveira, Tatyana A. Tavella, Thais Tavares Câmara, Thiago Serrão Pinto, Tilza Waleska Rocha dos Santos, Valdinete Alves do Nascimento, Wanessa Pessoa Sousa Barbosa, Wellinthon Ferreira de Melo, Wlademir Braga Salgado Sobrinho.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material. The raw data supporting the conclusions of this article will be made available upon request to the corresponding author.

Ethics Statement

The studies involving human participants were reviewed and approved by Brazilian Committee of Ethics in Human Research. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

CB, RF, GM, MS, FV, VS, MX, LH, WM, and ML: concept and design. CB, VS, MA-A, DB, LH, FG, MX, MR, RF, EF, AR, MF, JB-S, FV, WM, and ML: acquisition, analysis, or interpretation of data. CB, DB, VS, FV, WM, and ML: drafting of the manuscript. CB, MS, FV, VS, MA-A, DB, JB-S, MX, LH, FG, FC, WM, and ML: critical revision of the manuscript for important intellectual content. VS, MR, MX, BS, FV, and GA: statistical analysis. WM and ML: obtained funding. CB, JB-S, FG, GM, and RN: administrative, technical, or material support. CB, MS, FV, GM, MA-A, DB, LH, MX, WM, and ML: supervision.

Funding

This study was funded by the Government of the Amazonas State, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Departamento de Ciência e Tecnologia/Ministério da Saúde (DECIT), Ministério da Ciência, Tecnologia e Inovações (MCTI), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Grant 403253/2020-9), Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM) (RESOLUÇÃO N. 008/2021 - POSGRAD 2021; EDITAL 006/2020) and PRO-ESTADO. The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all data in the study and had final responsibility for submitting it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

FG, FC, WM, and ML are research fellows from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). Special thanks to the director of Hospital e Pronto Socorro Delphina Rinaldi Abdel Aziz, Mr. José Luiz Gasparini. Many members from the Metcovid Team are funded by Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM) and CAPES. We also thank Judith Recht, PhD for her thoughtful input on manuscript preparation. Thanks for all the outstanding support of our administrative team: Augustto Aleksey Silva Lima, Elcimar Cavalcante Neves Júnior, Evelyn Oliveira Santos, Lauro Fragata Mourão Filho, Arivan da Siva Queiroz and Caroline Santos Soares. ML and FV had full access to all the data in the study and they take responsibility for the integrity of the data and the accuracy of the data analysis.

Contributor Information

The Metcovid team:

Adria de Lemos Vasconcelos, Adriana Ferreira Praia Marins, Alexandre de Oliveira Trindade, Aline Sales Mendes Záu, Amanda Carvalho de Oliveira, Ana Carolina Azevedo Furtado, Ana Paula Coelho Rocha, Anderson da Silva Souza, Andiana de Souza Dias, Aníbal Belém, Antonny Michael da Silva Sousa, Beatriz França da Silva, Beatriz Leitão Franco, Bleno Leonam Gonçalves da Costa, Carla C. Judice, Carlos Eduardo Padron de Morais, Danielle Severino Sena da Silva, Debora Camila Gomes Duarte, Ejandre Garcia Negreiros da Silva, Elias da Silva Lemos, Elizandra Freitas do Nascimento, Elson Silva de Almeida, Elyana Almeida Marques, Emanuel Medeiros Marinho de Almeida, Emanuelle Lira da Silva, Ester Galvão dos Santos, Ezequiel da Silva Oliveira, Fábio Manabu Martins Shimizu, Fabíola Ramalho Ferreira de Souza, Felipe da Silva do Vale, Fernanda dos Santos de Almeida Lima, Fernando Hugo Jesus da Fonseca, Flávia Alencar Fontenelle, Francielen de Azevedo Furtado, Gabrielle Da Silva Pereira, Geísa Aleixo Bezerra, Guilherme Kemeron Maciel Salazar, Handerson da Silva Pereira, Hilda Ferreira de Melo, Ingrid Nascimento Oliveira, Ivanildo Vieira Pereira Filho, Jaily e Silva Rosa, Jacimara Vasques Gomes, Jonas Mota Lemos, Josué Nélio Brutus, Karina Pinheiro Pessoa, Laleyska Deucylane Costa Rodrigues, Larissa Esthefani Barros Cirino, Lauro Fragata Mourão Filho, Leandro Moura, Lorenna Pereira de Souza, Lucas Barbosa Oliveira, Marcela Menezes dos Santos, Marcus Vinicius Ramos da Silva, Mauro Pereira Rodrigues, Mayara Tavares de Menezes, Micaela Maciel dos Santos Mota, Nadya Fonseca Corrêa, Najara Bittencourt, Nagila Morais Rocha, Natália Guedes de Melo Silva, Priscilla de Oliveira Saraiva, Quézia de Sousa Monteiro, Rafael Theodoro dos Santos, Rebecca Augusta de Araújo Pinto, Rodrigo Saboia de Lima Reinan Brotas Ferreira, Rosângela Francisca Tanantas de Melo, Sabrina Teixeira Saenz, Salete Sara Alvarez Fernandes, Sheila Vítor-Silva, Thalie Cavalcante Santos, Tânia Maria Rodrigues de Oliveira, Tatyana A. Tavella, Thais Tavares Câmara, Thiago Serrão Pinto, Tilza Waleska Rocha dos Santos, Valdinete Alves do Nascimento, Wanessa Pessoa Sousa Barbosa, Wellinthon Ferreira de Melo, and Wlademir Braga Salgad Sobrinho

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2021.758405/full#supplementary-material

Click here for additional data file. (13.9KB, DOCX)

References

  • 1.Verity R, Okell LC, Dorigatti I, Winskill P, Whittaker C, Imai N, et al. Estimates of the severity of coronavirus disease 2019: a model-based analysis. Lancet Infect Dis. (2020) 20:669–77. 10.1016/S1473-3099(20)30243-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. (2020) 395:1054–62. 10.1016/S0140-6736(20)30566-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Wang C, Xie J, Zhao L, Fei X, Zhang H, Tan Y, et al. Alveolar macrophage dysfunction and cytokine storm in the pathogenesis of two severe COVID-19 patients. EBioMedicine. (2020) 57:102833. 10.1016/j.ebiom.2020.102833 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Dhont S, Derom E, Van Braeckel E, Depuydt P, Lambrecht BN. The pathophysiology of “happy” hypoxemia in COVID-19. Respir Res. (2020) 21:1–9. 10.1186/s12931-020-01462-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wang F, Kream RM, Stefano GB. Long-Term Respiratory and Neurological Sequelae of COVID-19. Med Sci Monit. (2020) 26:e928996. 10.12659/MSM.928996 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ragab D, Salah Eldin H, Taeimah M, Khattab R, Salem R. The COVID-19 cytokine storm: what we know so far. Front Immunol. (2020) 11:1446. 10.3389/fimmu.2020.01446 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Chousterman BG, Swirski FK, Weber GF. Cytokine storm and sepsis disease pathogenesis. Semin Immunopathol. (2017) 39:517–28. 10.1007/s00281-017-0639-8 [DOI] [PubMed] [Google Scholar]
  • 8.Mokra D, Mikolka P, Kosutova P, Mokry J. Corticosteroids in acute lung injury: The dilemma continues. Int J Mol Sci. (2019) 20:4765. 10.3390/ijms20194765 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Meduri GU, Bridges L, Shih M-C, Marik PE, Siemieniuk RAC, Kocak M, et al. Prolonged glucocorticoid treatment is associated with improved ARDS outcomes: analysis of individual patients' data from four randomized trials and trial-level meta-analysis of the updated literature. Intensive Care Med. (2015) 42:829–40. 10.1007/s00134-015-4095-4 [DOI] [PubMed] [Google Scholar]
  • 10.Zhang Y, Sun W, Svendsen ER, Tang S, MacIntyre RC, Yang P, et al. Do corticosteroids reduce the mortality of influenza A (H1N1) infection? A meta-analysis. Crit Care. (2015) 19:46. 10.1186/s13054-015-0764-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Stockman LJ, Bellamy R, Garner P. SARS. Systematic review of treatment effects. PLoS Med. (2006) 3:1525–31. 10.1371/journal.pmed.0030343 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Arabi YM, Mandourah Y, Al-Hameed F, Sindi AA, Almekhlafi GA, Hussein MA, et al. Corticosteroid therapy for critically ill patients with middle east respiratory syndrome. Am J Respir Crit Care Med. (2018) 197:757–67. 10.1164/rccm.201706-1172OC [DOI] [PubMed] [Google Scholar]
  • 13.Russell CD, Millar JE, Baillie JK. Clinical evidence does not support corticosteroid treatment for 2019-nCoV lung injury. Lancet. (2020) 395:473–5. 10.1016/S0140-6736(20)30317-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.RECOVERY Collaborative Group. Horby P, Lim WS, Emberson JR, Mafham M, Bell JL, et al. Dexamethasone in hospitalized patients with Covid-19 - preliminary report. N Engl J Med. (2020) 384:693–704. 10.1056/NEJMoa2021436 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Jeronimo CMP, Farias MEL, Val FFA, Sampaio VS, Alexandre MAA, Melo GC, et al. Methylprednisolone as adjunctive therapy for patients hospitalized with COVID-19 (Metcovid): a randomised, double-blind, phase iib, placebo-controlled trial. Clin Infect Dis. (2020) 72:e373–81. 10.1093/cid/ciaa1177 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Sterne JAC, Murthy S, Diaz J V, Slutsky AS, Villar J, Angus DC, et al. Association between administration of systemic corticosteroids and mortality among critically Ill patients with COVID-19: a meta-analysis. JAMA - J Am Med Assoc. (2020) 324:1330–41. 10.1001/jama.2020.17023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Pasin L, Navalesi P, Zangrillo A, Kuzovlev A, Likhvantsev V, Hajjar LA, et al. Corticosteroids for patients with coronavirus disease 2019 (COVID-19) with different disease severity: a meta-analysis of randomized clinical trials. J Cardiothorac Vasc Anesth. (2020) 35:578–84. 10.1053/j.jvca.2020.11.057 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Salton F, Confalonieri P, Meduri GU, Santus P, Harari S, Scala R, et al. Prolonged low-dose methylprednisolone in patients with severe COVID-19 pneumonia. Open Forum Infect Dis. (2020) 7:ofaa421. 10.1093/ofid/ofaa421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Villar J, Ferrando C, Martínez D, Ambrós A, Muñoz T, Soler JA, et al. Dexamethasone treatment for the acute respiratory distress syndrome: a multicentre, randomised controlled trial. Lancet Respir Med. (2020) 8:267–76. 10.1016/S2213-2600(19)30417-5 [DOI] [PubMed] [Google Scholar]
  • 20.Rogliani P, Calzetta L, Coppola A, Puxeddu E, Sergiacomi G, D'Amato D, et al. Are there pulmonary sequelae in patients recovering from COVID-19? Respir Res. (2020) 21:1–4. 10.1186/s12931-020-01550-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Graham BL, Steenbruggen I, Barjaktarevic IZ, Cooper BG, Hall GL, Hallstrand TS, et al. Standardization of spirometry 2019 update an official American Thoracic Society and European Respiratory Society technical statement. Am J Respir Crit Care Med. (2019) 200:E70–88. 10.1164/rccm.201908-1590ST [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Laveneziana P, Albuquerque A, Aliverti A, Babb T, Barreiro E, Dres M, et al. ERS statement on respiratory muscle testing at rest and during exercise. Eur Respir J. (2019) 53:1801214. 10.1183/13993003.01214-2018 [DOI] [PubMed] [Google Scholar]
  • 23.Hlatky MA, Boineau RE, Higginbotham MB, Lee KL, Mark DB, Califf RM, et al. A brief self-administered questionnaire to determine functional capacity (The Duke Activity Status Index). Am J Cardiol. (1989) 64:651–4. 10.1016/0002-9149(89)90496-7 [DOI] [PubMed] [Google Scholar]
  • 24.Crapo RO, Casaburi R, Coates AL, Enright PL, MacIntyre NR, McKay RT, et al. ATS statement: Guidelines for the six-minute walk test. Am Lung Assoc. (2002) 166:111–7. 10.1164/ajrccm.166.1.at1102 [DOI] [PubMed] [Google Scholar]
  • 25.Iwama AM, Andrade GN, Shima P, Tanni SE, Godoy I, Dourado VZ. The six-minute walk test and body weight-walk distance product in healthy Brazilian subjects. Brazilian J Med Biol Res. (2009) 42:1080–5. 10.1590/S0100-879X2009005000032 [DOI] [PubMed] [Google Scholar]
  • 26.Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, et al. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern Med. (2020) 180:934–43. 10.1001/jamainternmed.2020.0994 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Rhen T, Cidlowski JA. Antiinflammatory action of glucocorticoids — new mechanisms for old drugs. N Engl J Med. (2005) 353:1711–23. 10.1056/NEJMra050541 [DOI] [PubMed] [Google Scholar]
  • 28.Schwingshackl A, Meduri GU. Rationale for prolonged glucocorticoid use in pediatric ARDS: What the adults can teach us. Front Pediatr. (2016) 4:58. 10.3389/fped.2016.00058 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Bartoletti M, Marconi L, Scudeller L, Pancaldi L, Tedeschi S, Giannella M, et al. Efficacy of corticosteroid treatment for hospitalized patients with severe COVID-19: a multicentre study. Clin Microbiol Infect. (2021) 27:105–11. 10.1016/j.cmi.2020.09.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Li Y, Meng Q, Rao X, Wang B, Zhang X, Dong F, et al. Corticosteroid therapy in critically ill patients with COVID-19: a multicenter, retrospective study. Crit Care. (2020) 24:1–10. 10.1186/s13054-020-03429-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Alhazzani W, Evans L, Alshamsi F, Møller MH, Ostermann M, Prescott HC, et al. Surviving sepsis campaign guidelines on the management of adults with coronavirus disease 2019 (COVID-19) in the ICU: first update. Crit Care Med. (2021) 49:E219–34. 10.1097/CCM.0000000000004899 [DOI] [PubMed] [Google Scholar]
  • 32.Zhao Y-M, Shang Y-M, Song W-B, Li Q-Q, Xie H, Xu Q-F, et al. Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery. EClinicalMedicine. (2020) 25:100463. 10.1016/j.eclinm.2020.100463 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Shaw B, Daskareh M, Gholamrezanezhad A. The lingering manifestations of COVID-19 during and after convalescence: update on long-term pulmonary consequences of coronavirus disease 2019 (COVID-19). Radiologia Medica. (2020) 35:W87–9. 10.1007/s11547-020-01295-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Salehi S, Reddy S, Gholamrezanezhad A. Long-term Pulmonary Consequences of Coronavirus Disease 2019 (COVID-19). J Thorac Imaging. (2020) 35:W87–9. 10.1097/RTI.0000000000000534 [DOI] [PubMed] [Google Scholar]
  • 35.Bein T, Weber-Carstens S, Apfelbacher C. Long-term outcome after the acute respiratory distress syndrome: Different from general critical illness? Curr Opin Crit Care. (2018) 24:35–40. 10.1097/MCC.0000000000000476 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Luyt CE, Combes A, Becquemin MH, Beigelman-Aubry C, Hatem S, Brun AL, et al. Long-term outcomes of pandemic 2009 influenza A(H1N1)-associated severe ARDS. Chest. (2012) 142:583–92. 10.1378/chest.11-2196 [DOI] [PubMed] [Google Scholar]
  • 37.Batawi S, Tarazan N, Al-Raddadi R, Al Qasim E, Sindi A, Al Johni S, et al. Quality of life reported by survivors after hospitalization for Middle East respiratory syndrome (MERS). Health Qual Life Outcomes. (2019) 17:1–7. 10.1186/s12955-019-1165-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hui DS, Wong KT, Ko FW, Tam LS, Chan DP, Woo J, 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) 128:2247–61. 10.1378/chest.128.4.2247 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Chen J, Wu J, Hao S, Yang M, Lu X, Chen X, et al. Long term outcomes in survivors of epidemic Influenza A (H7N9) virus infection. Sci Rep. (2017) 7:1–8. 10.1038/s41598-017-17497-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Mineo G, Ciccarese F, Modolon C, Landini MP, Valentino M, Zompatori M. Post-ARDS pulmonary fibrosis in patients with H1N1 pneumonia: role of follow-up CT. Radiol Medica. (2012) 117:185–200. 10.1007/s11547-011-0740-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Fumagalli A, Misuraca C, Bianchi A, Borsa N, Limonta S, Maggiolini S, et al. Pulmonary function in patients surviving to COVID-19 pneumonia. Infection. (2020) 1:1. 10.1007/s15010-021-01718-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Huang Y, Tan C, Wu J, Chen M, Wang Z, Luo L, et al. Impact of coronavirus disease 2019 on pulmonary function in early convalescence phase. Respiratory Res. (2020) 21:1–10. 10.1186/s12931-020-01429-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Mo X, Jian W, Su Z, Chen M, Peng H, Peng P, et al. Abnormal pulmonary function in COVID-19 patients at time of hospital discharge. Eur Respir J. (2020) 55:2–5. 10.1183/13993003.01217-2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.You J, Zhang L, Zhang J, Hu F, Chen L, Dong Y, et al. Anormal pulmonary function and residual CT abnormalities in rehabilitating COVID-19 patients after discharge. J Infect. (2020) 81:e150–2. 10.1016/j.jinf.2020.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Huguet ET, Gajarte AU, Iturriaga LA, Fernandez LS, Malanda NM, Pascual MI, et al. Alteración funcional pulmonar en el seguimiento precoz de pacientes con neumonía por COVID-19. GEF Bull Biosci. (2020) 57:75. 10.1016/j.arbres.2020.07.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Wang JY, Chang SY, Huang YW, Chang SC. Serology-positive but minimally symptomatic COVID-19maystill cause lung injury and lung function impairment. Int J Tuberc Lung Dis. (2020) 24:568–9. 10.5588/ijtld.20.0197 [DOI] [PubMed] [Google Scholar]
  • 47.Frija-Masson J, Debray M-P, Gilbert M, Lescure F-X, Travert F, Borie R, et al. Functional characteristics of patients with SARS-CoV-2 pneumonia at 30 days post-infection. Eur Respir J. (2020) 56:2001754. 10.1183/13993003.01754-2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Hanley B, Naresh KN, Roufosse C, Nicholson AG, Weir J, Cooke GS, et al. Histopathological findings and viral tropism in UK patients with severe fatal COVID-19: a post-mortem study. Lancet Microbe. (2020) 1:e245–53. 10.1016/S2666-5247(20)30115-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Ackermann M, Verleden SE, Kuehnel M, Haverich A, Welte T, Laenger F, et al. Pulmonary vascular endothelialitis, thrombosis, and angiogenesis in Covid-19. N Engl J Med. (2020) 383:120–8. 10.1056/NEJMoa2015432 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Bradley BT, Maioli H, Johnston R, Chaudhry I, Fink SL, Xu H, et al. Histopathology and ultrastructural findings of fatal COVID-19 infections in Washington State: a case series. Lancet (London, England). (2020) 396:320–32. 10.1016/S0140-6736(20)31305-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Polak SB, Van Gool IC, Cohen D, Jan H, van Paassen J. A systematic review of pathological findings in COVID-19: a pathophysiological timeline and possible mechanisms of disease progression. Mod Pathol. (2020) 33:2128–38. 10.1038/s41379-020-0603-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Gupta A, Sen S, Naina H. Acute fibrinous and organising pneumonia: A rare histopathological variant of chemotherapy-induced lung injury. BMJ Case Rep. (2016) 2016:bcr2016214721. 10.1136/bcr-2016-214721 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Zeng Z, Xiang M, Guan H, Liu Y, Zhang H, Xia L, et al. Early fibroproliferative signs on high-resolution CT are associated with mortality in COVID-19 pneumonia patients with ARDS: a retrospective study. Ther Adv Chronic Dis. (2021) 12:2040622320982171. 10.1177/2040622320982171 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Sheard S, Rao P, Devaraj A. Imaging of acute respiratory distress syndrome. Respir Care. (2012) 57:607–12. 10.4187/respcare.01731 [DOI] [PubMed] [Google Scholar]
  • 55.Baratella E, Ruaro B, Marrocchio C, Starvaggi N, Salton F, Giudici F, et al. Interstitial lung disease at high resolution CT after SARS-CoV-2-related acute respiratory distress syndrome according to pulmonary segmental anatomy. J Clin Med. (2021) 10:3985. 10.3390/jcm10173985 [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

Click here for additional data file. (13.9KB, DOCX)

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material. The raw data supporting the conclusions of this article will be made available upon request to the corresponding author.

Articles from Frontiers in Medicine are provided here courtesy of Frontiers Media SA

RESOURCES