The proportion and effect of corticosteroid therapy in patients with COVID-19 infection: A systematic review and meta-analysis

Abstract

The pathogenesis of viral pneumonia may not be virus-induced cytopathy but rather an aberrant host immune reaction (e.g., cytokine storm) to the viral infection in all affected patients [5]. Because the immune pathogenesis of pneumonia may be the same in all infected patients, the timing of immunomodulator (corticosteroid) treatment is crucial, and the early control of initial immune-mediated lung injury is helpful for reducing patient morbidity and possible mortality [5]. Additionally, dexamethasone, which is a corticosteroid, has been found to improve survival in hospitalized patients who require supplemental oxygen, with the greatest effect observed in patients who required mechanical ventilation. [...]the use of dexamethasone is strongly recommended in this setting by the COVID-19 treatment Guidelines of the National Institutes of Health (last update: Inclusion and exclusion criteria The inclusion criteria were as follows: 1) research articles, including observational studies and clinical trials, investigating the use of glucocorticoids in persons with COVID-19 infection who were diagnosed by real-time reverse transcription-polymerase chain reaction (RT-PCR) and underwent chest X-ray or chest computed tomography (CT) examination during hospitalization; (2) articles reporting outcomes regarding the proportion of glucocorticoids administered by severity and region, COVID-19 viral clearance and/or death; and (3) studies without restrictions based on the country in which the trial occurred and age. The extracted data included the following: research type, author names, country, date of publication, sample size, number of patients treated with corticosteroids, dosage, duration and combination drugs, number of ICU admissions, invasive mechanical ventilation (IMV)/noninvasive ventilation (NIV), extracorporeal membrane oxygenation (ECMO), number of deaths, mortality, viral clearance time, comorbidity, classification, and length of in-hospital stay.

About the Authors:

Junning Wang

Contributed equally to this work with: Junning Wang, Weixia Yang

Roles Writing – original draft, Writing – review & editing

Affiliation: Department of Respiratory, Honghui Hospital, Xi’an Jiaotong University, Xi’an, PR China

Weixia Yang

Contributed equally to this work with: Junning Wang, Weixia Yang

Roles Writing – original draft

Affiliation: Department of Pathology, Genertec Universal Xihang Hospital (Xi’an) Co., Ltd., Xi’an, PR China

Puwen Chen

Roles Software

Affiliation: Department of Cardiology, The Second People’s Hospital of Foshan (Affiliated Foshan Hospital of Southern Medical University), Foshan, PR China

Jianbin Guo

Roles Validation

Affiliation: Department of Orthopedics, Honghui Hospital, Xi’anJiaotong University, Xi’an, PR China

Rui Liu

Roles Data curation

Affiliation: Department of Orthopedics, Honghui Hospital, Xi’anJiaotong University, Xi’an, PR China

Pengfei Wen

Roles Validation

Affiliation: Department of Orthopedics, Honghui Hospital, Xi’anJiaotong University, Xi’an, PR China

Kun Li

Roles Writing – original draft

Affiliation: Department of Orthopedics, Honghui Hospital, Xi’anJiaotong University, Xi’an, PR China

Yao Lu

Roles Data curation

Affiliation: Department of Orthopedics, Honghui Hospital, Xi’anJiaotong University, Xi’an, PR China

Tao Ma

Roles Formal analysis

Affiliation: Department of Orthopedics, Honghui Hospital, Xi’anJiaotong University, Xi’an, PR China

Xiaoli Li

Roles Conceptualization, Project administration

Affiliation: Department of Respiratory, Honghui Hospital, Xi’an Jiaotong University, Xi’an, PR China

Siqing Qin

Roles Validation

Affiliation: Department of Orthopedics, Honghui Hospital, Xi’anJiaotong University, Xi’an, PR China

Yumin Zhang

Roles Methodology

Affiliation: Department of Orthopedics, Honghui Hospital, Xi’anJiaotong University, Xi’an, PR China

Yakang Wang

Roles Supervision

* E-mail: [email protected]

Affiliation: Department of Orthopedics, Honghui Hospital, Xi’anJiaotong University, Xi’an, PR China

ORCID logo https://orcid.org/0000-0002-1403-9032

Introduction

Coronavirus disease 2019 (COVID-19) is a novel viral respiratory disease that surfaced in December 2019 and is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel, highly diverse, enveloped, positive single-stranded betacoronavirus that belongs to the subgenus Sarbecovirus [1]. The rapid progression of the COVID-19 pandemic has become a global concern. By March 11, 2020, Central European Time, 114 countries had become involved, 118319 laboratory-confirmed infections had been reported, over 4000 deaths had occurred, and the World Health Organization (WHO) declared the COVID-19 outbreak a global pandemic [2]. By June 15, 2020, approximately 7823289 laboratory-confirmed cases had been identified worldwide, with 431541 deaths. Worryingly, the number of newly diagnosed patients continues to dramatically increase [3].

The clinical manifestations of COVID-19 in humans resemble those of viral pneumonia [4]. The pathogenesis of viral pneumonia may not be virus-induced cytopathy but rather an aberrant host immune reaction (e.g., cytokine storm) to the viral infection in all affected patients [5]. Because the immune pathogenesis of pneumonia may be the same in all infected patients, the timing of immunomodulator (corticosteroid) treatment is crucial, and the early control of initial immune-mediated lung injury is helpful for reducing patient morbidity and possible mortality [5]. Corticosteroids do not directly inhibit virus replication, and their main role is inhibiting inflammation and suppressing the immune response [6].

A wide range of variability in COVID-19 severity has been observed, ranging from asymptomatic to critical, and the symptoms of the disease are nonspecific, including self-reported fever, dry cough, fatigue, and myalgia with diarrhea. Severe cases of difficulty breathing, sepsis, and septic shock have been reported, progressing to a severe form of pneumonia in 10–15% of patients. Severe COVID-19 can lead to critical illness, with acute respiratory distress syndrome (ARDS) and multiorgan failure (MOF) as the primary complications, as well as fatal respiratory diseases [7]. Its epidemiological and clinical characteristics are slowly becoming evident. However, the pathogenic features of acute lung injury in COVID-19 and other infectious respiratory diseases remain unknown. Given the rapid emergence of COVID-19, currently, no pharmacological therapies with proven efficacy are available to treat this fatal disease [8]. Several companies have produced vaccines, but these vaccines are in phase 2 or 3 clinical trials, and the exact effect of these vaccines remains to be observed in the future [9]. SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV) share many genetic features; particularly, SARS-CoV-2 is highly homologous to SARS-CoV [10]. The phylogenetics and clinical features of COVID-19 resemble those of SARS and MERS; however, corticosteroid therapy in the latter two infections is controversial [11, 12]. The current guidance from the WHO regarding the clinical management of severe acute respiratory infection when SARS-CoV-2 infection is suspected (released: September 2, 2020) advises the use of systemic corticosteroids rather than no corticosteroids for the treatment of patients with severe and critical cases of COVID-19; however, the guidelines suggest not using corticosteroids in the treatment of patients with nonsevere cases of COVID-19 [13, 14]. Additionally, dexamethasone, which is a corticosteroid, has been found to improve survival in hospitalized patients who require supplemental oxygen, with the greatest effect observed in patients who required mechanical ventilation. Therefore, the use of dexamethasone is strongly recommended in this setting by the COVID-19 treatment Guidelines of the National Institutes of Health (last update: November 3, 2020) [15]. There have been several reports regarding the use of corticosteroids in addition to other therapeutics in patients with COVID-19, especially in persons with severe infection hospitalized in the intensive care unit (ICU); their impact on clinical outcomes remains highly controversial [8, 16, 17]. However, to date, data regarding the proportion and efficacy of corticosteroids in this setting are scarce [18, 19]. Understanding the evidence related to the efficacy and safety of corticosteroid treatment for COVID-19 is of immediate clinical importance. This meta-analysis aimed to evaluate the proportion and efficacy of the current options for the use of systemic corticosteroid therapy for COVID-19.

Materials and methods

This systematic review and meta-analysis were conducted based on the Preferred Reporting Items for Systematic and Meta-analysis (PRISMA) protocols but were not registered in any registry.

Search strategy

Two researchers (JN Wang and WX Yang) independently searched the PubMed, Embase, Cochrane Controlled Trials Registry, and China Academic Journal Network Publishing databases from December 1, 2019, to January 1, 2021, using the following key words: glucocorticoid or corticosteroid or adrenal cortex hormones or steroid or corticoid or corticoids or corticosteroids or glucocorticosteroid or glucocorticosteroids or methylprednisolone or budesonide or dexamethasone or Prednisone or prednisolone or methylprednisolone or hydrocortisone or cortisol. Each key word was searched with the following string of key words (using the “AND” operator): COVID-19 OR coronavirus OR "SARS-CoV-2" OR "novel coronavirus" OR 2019-nCoV OR "Severe Acute Respiratory Syndrome Coronavirus 2" OR "Corona Virus Disease 2019" OR COVID-19 OR COVID. No language restrictions were applied while searching for published studies.

Inclusion and exclusion criteria

The inclusion criteria were as follows: 1) research articles, including observational studies and clinical trials, investigating the use of glucocorticoids in persons with COVID-19 infection who were diagnosed by real-time reverse transcription-polymerase chain reaction (RT-PCR) and underwent chest X-ray or chest computed tomography (CT) examination during hospitalization; (2) articles reporting outcomes regarding the proportion of glucocorticoids administered by severity and region, COVID-19 viral clearance and/or death; and (3) studies without restrictions based on the country in which the trial occurred and age.

The exclusion criteria were as follows: 1) studies involving patients post-transplantation or with a history of any organ transplantation; 2) studies that did not report original data, clear diagnostic criteria or data that could be summarized as the mean and standard deviation, and studies lacking reliable clinical data; and 3) conference abstracts or review articles.

Disagreements regarding the study selections were resolved by discussion with a review author (YK Wang) until consensus was reached.

Data extraction

Two researchers (Yao Lu and JN Wang) independently performed the data extraction. The means were obtained from data tables or figures if no direct data were available in the article text or from the corresponding author. If the sample mean and standard deviation of the data could not be obtained from the authors, they were calculated from the sample size, median, range and/or interquartile range according to the procedures described in the articles by Wan X and Luo D et al [20, 21]. Disagreements regarding the data extraction were resolved by discussion with a review author (YK Wang) until a consensus was reached. The extracted data included the following: research type, author names, country, date of publication, sample size, number of patients treated with corticosteroids, dosage, duration and combination drugs, number of ICU admissions, invasive mechanical ventilation (IMV)/noninvasive ventilation (NIV), extracorporeal membrane oxygenation (ECMO), number of deaths, mortality, viral clearance time, comorbidity, classification, and length of in-hospital stay. The severity of COVID-19 was categorized as mild, common, severe or critical. The mild type was defined by mild symptoms, including any of the various signs and symptoms of COVID-19 (e.g., fever, cough, sore throat, malaise, headache, muscle pain, nausea, vomiting, diarrhea, and loss of taste and smell) without shortness of breath, dyspnea, or pneumonia on imaging. The common type was defined by respiratory tract symptoms and pneumonia on imaging. The severe type was characterized by dyspnea, respiratory rate ≥30/minute, blood oxygen saturation ≤93%, PaO2/FiO2 ratio <300, and/or >50% lung infiltration within 24–48 hours. The critical type was characterized by respiratory failure, septic shock, and/or multiple organ dysfunction/failure. We classified severe and critical cases as severe and common and mild cases as nonsevere. Finally, the data were imported into Review Manager 5.3 for the analysis.

Assessment of study quality

Two researchers (PW Chen and JB Guo) independently assessed the quality of the included studies. The risk of bias was evaluated using the modified Jadad scale [22]. The following categories were included: “Was the study described as randomized?”, “Was the method used to generate the sequence of randomization described and appropriate (random numbers, computer-generated, etc.)?”, “Was the study described as double-blind?”, “Was the method of double-blinding described and appropriate (identical placebo, active placebo, dummy, etc.)?”, and “Was there a description of withdrawals and drop-outs?”. The Jadad scale is a five-point scale; a score of zero indicates poor quality evidence, and a score of five indicates high-quality evidence; therefore, trials with a score of 4 or 5 were considered to be of high methodological quality. Additionally, the Cochrane collaboration tool was used to address the risk of bias. Disagreements regarding the study quality were resolved by discussion with a review author (YK Wang) until a consensus was reached.

Statistical analysis

The data were analyzed using the Cochrane Collaboration software Review Manager 5.3. The weighted mean difference (WMD) and the associated 95% confidence interval (CI) of the viral clearance as a continuous outcome were calculated, while the odds ratio (OR) and the associated 95% CI of dichotomous outcomes, including the proportion of cases treated with glucocorticoids and the mortality rate, were calculated.

Heterogeneity was assessed using an I2-test. A fixed-effects model was used to pool the data if there was no evidence of significant heterogeneity (I2≤50%). Otherwise, a random-effects model was used. Publication bias was assessed with funnel plots. The subgroup analyses were stratified by area (Wuhan, China; outside of Wuhan, China; and outside of China), severity (critical and severe), evidence grade age (pediatric or adult) and glucocorticoid dosage.

Ethics committee and/or institutional board approval were not required for this study.

Results

Trial characteristics

The searches identified 2326 relevant articles. Of these articles, 52 were eligible for inclusion according to our criteria for considering studies for this meta-analysis [18, 19, 23–72] (Fig 1). Forty-four trials were retrospective case series (RCS), and eight trials were randomized controlled trials (RCTs). In total, 11 RCT protocols were not included due to the lack of results (S1 File). In total, 15710 patients with COVID-19 were included in the analyses. Among the 52 included trials, 18 were multicenter trials, and 35 were single-center trials. Twenty-six trials were conducted in Wuhan, China, 17 trials were conducted outside of Wuhan, China, and 9 trials were conducted outside of China. In total, 12 studies performed analyses by severity; 4 trials divided the patients into ICU and non-ICU groups, and 8 trials divided the patients into severe or nonsevere groups. Viral clearance was compared in 5 trials. The effect on mortality was analyzed in 15 trials. Most trials indicated that 40–80 mg of methylprednisolone was used once or twice per day, ranging from 4–15 days. Antibiotics were not administered in three trials, 1 trial had no antibiotic-related data, and 51 trials administered antibiotics. In total, NIV was used in 2193 patients and IMV was used in 4729 patients in 27 trials to assist ventilation (S3 Fig). In total, 80 patients in 14 trials were treated with ECMO. Overall, 32 patients were included in Jacobs J et al’s article, and 4 of 5 survivors received steroids [29]. ECMO plays a role in the stabilization and survival of select critically ill patients with severe pulmonary and cardiac compromise; however, determining whether ECMO supplemented with corticosteroids is useful for improving the survival rate still requires more research. The most common complications were ARDS, acute coagulopathy, acute liver injury and acute kidney injury. The characteristics of the 52 included trials are summarized in Table 1.

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Fig 1. Flowchart of the article screening and selection process.

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Table 1. Characteristics of the studies included in the meta-analysis.

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Proportion of corticosteroid treatments

The proportion of COVID-19 patients treated with corticosteroids compared to those who were not was described in all 52 included trials (n = 15710 patients). The meta-analysis demonstrated that the proportion of COVID-19 patients treated with corticosteroids was significantly lower than that of patients who were not treated with corticosteroids (35.19% vs. 64.49%, 5528 vs. 10131 OR: 0.35, 95% CI: 0.22–0.56, P <0.01; Fig 2) in both adult and pediatric cases (S4A Fig). There was evidence of significant heterogeneity among the trials (P <0.01, I2 = 98%). There was no significant difference between the patients who were treated with corticosteroids and those not treated with corticosteroids among those with low and high Jadad scores (S4B Fig).

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Fig 2. Proportion of corticosteroid treatments in COVID-19 patients: Overall and subgroup analyses stratified by region.

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Comparison of the proportion of severe and nonsevere cases treated with corticosteroids

The proportion of severe cases treated with corticosteroids was 32.05% (n = 317), while 22.31% (n = 445) of nonsevere cases were treated with corticosteroids in 12 trials (n = 2983 patients). Our meta-analysis demonstrated a significant difference in the proportions of severe plus ICU and nonsevere plus no ICU cases treated with corticosteroids (OR: 2.17, 95% CI: 0.86–5.46, P = 0.04; Fig 3). There was evidence of significant heterogeneity among the trials (P <0.01, I2 = 94%).

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Fig 3. Proportions of severe and nonsevere cases treated with corticosteroids: Overall and subgroup analyses stratified by severity.

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Effect of corticosteroid use on viral clearance

We evaluated the viral clearance time in patients treated with corticosteroids compared with that in patients who were not treated with corticosteroids using a random-effects model (Fig 4). Five studies reported the outcome of viral clearance. In all 5 studies, viral clearance was confirmed by serial RT-PCR of samples from throat swabs or sputum; in the 5 studies, clearance was defined as at least two consecutive negative results. The pooled estimates showed that corticosteroid treatment significantly delayed the viral clearance time (WMD: 3.98, 95% CI: 0.76–7.02, P < 0.05; I2 = 95%). However, there was significant heterogeneity among the studies.

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Fig 4. Corticosteroid vs. no corticosteroid treatment: Viral clearance time (days).

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Effect of corticosteroid use on mortality

The mortality of COVID-19 patients treated with corticosteroids for 4–15 days was described in 15 trials (n = 9279 patients). The meta-analysis demonstrated no significant difference in the use of corticosteroids between COVID-19 patients who died and those who survived (overall OR: 1.24, 95% CI 0.89–1.73, P = 0.2; Fig 5). There was evidence of significant heterogeneity among the trials (P < 0.01, I2 = 80%).

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Fig 5. Corticosteroid vs. no corticosteroid treatment: Mortality of studied subjects (both groups received corticosteroids).

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Subgroup and sensitivity analyses

The subgroup analyses stratified by region indicated that the proportion of COVID-19 patients treated with corticosteroids was significantly lower than that of patients who were not treated with corticosteroids in Wuhan, China (OR: 0.40, 95% CI: 0.20–0.82, P = 0.01; I2 = 98%, Fig 2) and outside of Wuhan (OR: 0.13, 95% CI: 0.04–0.38, P < 0.01; I2 = 99%, Fig 2), but there was no significant difference outside of China (OR: 1.26, 95% CI: 0.43–3.64, P = 0.68; I2 = 99%, Fig 2).

The subgroup analyses were also stratified by whether patients stayed in the ICU and by severity. Patients who were identified as having severe or critical disease were collectively included in the “severe” group, while those with mild and common COVID-19 were included in the “nonsevere” group. The subgroup analysis indicated that the proportion of patients treated with corticosteroids among ICU patients was significantly higher than that among non-ICU patients (OR: 5.19, 95% CI: 1.21–22.14, P = 0.03; I2 = 89%; Fig 3), but there was no significant difference in the proportion of patients with critical or severe disease and mild or common disease treated with corticosteroids (OR: 1.42, 95% CI: 0.37–5.41, P = 0.61; I2 = 96%; Fig 3).

The subgroup analyses were also stratified by the dosage of corticosteroids and whether the patients were ventilated. The main dosage of corticosteroids used was 40–80 mg/day. The number of patients treated with corticosteroids at 40–80 mg/day was significantly lower than the number of patients not treated with corticosteroids (557 vs. 1580; S2 Fig); however, there were no significant differences in the number of patients treated by weight, treated with less than 40 mg/day, treated with more than 80 mg/day, and not treated with corticosteroids. There was also no significant difference in the number of ventilated and nonventilated patients (2193 vs. 4729; S3 Fig).

Assessment of study quality

The level of evidence in each trial was graded from 1 to 5 according to the Jadad quality score (Table 1 and S2 Table). Regarding publication bias, the shape of the funnel plot showed obvious asymmetry for trials investigating the proportion of corticosteroid use in COVID-19 patients regardless of region or severity (S1A and S1B Fig) and slight asymmetry for trials investigating the effect on viral clearance (S1C Fig) and mortality (S1D Fig).

Additionally, the risk of bias, as assessed by the Cochrane tool, is summarized in S5 Fig and presented in detail in S6 Fig. The main limitations of the included trials were selection bias and performance bias because most studies were not randomized or blinded.

Discussion

Since the outbreak of the novel SARS-CoV-2 infection, no effective antiviral treatment has been developed. COVID-19 patients are mainly treated with symptomatic therapy. In clinical practice, corticosteroids are widely used in the symptomatic treatment of severe viral pneumonia. However, whether COVID-19 patients should be adjunctively treated with corticosteroids remains highly controversial. The main pathological feature of COVID-19 pneumonia is an inflammatory reaction accompanied by deep airway and alveolar destruction [73]. The current hypothesis is that lung injury is not associated with direct virus-induced injury but that COVID-19 invasion triggers immune and inflammatory responses that lead to the activation of immune cells (macrophages, T and B lymphocytes, granulocytes, and monocytes) to release numerous pro- and anti-inflammatory cytokines, including TNF-α, IL-1β, and IL-6, and markedly increased levels of inflammatory markers, such as C-reactive protein and the erythrocyte sedimentation rate [74]. The overwhelming secretion of cytokines causes severe alveolar and deep airway damage, which manifests as extensive damage to pulmonary vascular endothelial and alveolar epithelial cells and increased pulmonary vascular permeability, resulting in pulmonary edema and hyaline membrane formation [75]. Lung histological examinations have shown diffuse alveolar damage with cellular fibromyxoid exudate and hyaline membrane formation, which resembles ARDS [73]. Further autopsy revealed bilateral diffuse alveolar injury with fibrous mucinous exudate and interstitial mononuclear inflammatory infiltration dominated by lymphocytes, which is very similar to SARS-CoV and MERS-CoV infections [73]. This finding indicates that COVID-19 infection is usually accompanied by increased immune and inflammatory responses and that the concentrations of immune factors are associated with the severity of the disease [62]. Corticosteroids are classical immunosuppressive drugs that perform key physiological processes, including exerting inhibitory effects on the immune response and playing anti-inflammatory roles to reduce systemic inflammation [16, 76]. Both aspects are important for stopping or delaying the progression of pneumonia. Low-dose corticosteroids have been proven to be effective in the treatment of viral pneumonia due to their excellent pharmacological effects on the suppression of the immune system to prevent the development of related autoimmune diseases and dysfunctional systematic inflammation [77].

In this meta-analysis, the proportion of COVID-19 patients treated with corticosteroids was significantly lower than that of patients who did not receive corticosteroids. The subgroup analyses stratified by region showed that the proportion of COVID-19 patients treated with corticosteroids was significantly lower than that of patients who were not in Wuhan, China, outside of Wuhan, and outside of China. The results of this study indicate that the clinical application of corticosteroids is not very common. Thus, the use of corticosteroids could be regarded as a double-edged sword [16].

Studies have indicated that patients with severe disease are more likely to require adjunctive corticosteroid therapy [77]. However, our meta-analysis demonstrated no significant difference in the proportion of severe and nonsevere cases treated with corticosteroids. This finding differs from the results of previous research. We speculate that the reason underlying this inconsistency is an unsuitable population selection as follows: patients with mild or common COVID-19 might not be included in a target population to assess the efficacy of corticosteroids in most studies. We also performed subgroup analyses stratified by severity, which indicated that the proportion of corticosteroid use in ICU patients was significantly higher than that in non-ICU patients. These results indicate that ICU patients were more likely to require corticosteroid therapy. The meta-analysis by Li Huan et al. reported that evidence suggests that ICU inpatients with coronavirus infections were more likely to receive corticosteroids than non-ICU inpatients [78].

The results of our meta-analysis indicate that corticosteroid treatment significantly delayed the viral clearance time. A study by Russell D.C. et al showed a delay in viral RNA clearance from the respiratory tract and suggested that this delay followed corticosteroid treatment for MERS-CoV infection [14]. Moreover, a prospective, randomized, double-blinded, placebo-controlled trial investigating SARS compared early adjunctive hydrocortisone treatment (before day seven of the illness) with a placebo and showed that early adjunctive hydrocortisone therapy in patients was associated with delayed SARS-CoV RNA clearance in plasma [79].

The meta-analysis demonstrated no significant difference in the use of corticosteroids between COVID-19 patients who died and those who survived. These results indicate that mortality is not correlated with corticosteroid therapy; there was no favorable impact on the endpoint of death. In a retrospective cohort study involving 309 patients who were critically ill with MERS [12], the authors reported that there was no difference in 90-day mortality between patients treated with corticosteroids and those not treated with corticosteroids, but the corticosteroid treatment was associated with delayed MERS-CoV RNA clearance from respiratory tract secretions. This finding was somewhat supported by our systematic review. Glucocorticoid therapy was associated with delayed SARS-CoV-2 RNA clearance after adjusting for baseline and time-varying confounding factors [33]. However, the WHO’s rapid evidence appraisal of COVID-19 therapies by a working group conducting a prospective meta-analysis showed that in clinical trials of patients critically ill with COVID-19, compared with usual care or placebo, the administration of systemic corticosteroids was associated with a lower 28-day all-cause mortality rate [80], which differs from our results because we included mild, common and severe cases in our meta-analysis.

There are some limitations to this meta-analysis. First, some included studies were early retrospective cohort studies with small patient sample sizes and historical control studies of this emerging pathogen, and we found substantial heterogeneity among studies with a low level of evidence, which restricted the quality grade of the effects. Larger-scale RCTs are urgently needed. Second, there is no uniform standard for the dosage or initiation time of the administration of the corticosteroid regimens used in the different studies. For instance, in future research, corticosteroids should be used at an early stage of the illness. Third, antiviral agents might be confounders to corticosteroid use and their effects. Other co-treatments might have influenced our results. Fourth, our study was not registered, and the study populations only included hospitalized patients. Finally, due to the ongoing outbreak of COVID-19, many regions affected by COVID-19 have not published results in their populations, which may lead to publication bias.

Conclusions

The proportion of COVID-19 patients treated with corticosteroids was significantly lower than that of patients who were not treated with corticosteroids. The subgroup analyses stratified by severity indicated that the proportion of corticosteroid use in ICU patients was significantly higher than that in non-ICU patients. Corticosteroid use in subjects with SARS-CoV-2 infection resulted in delayed viral clearance and did not convincingly improve survival in all patients. Therefore, corticosteroids should be used with extreme caution in the treatment of COVID-19. Nevertheless, further multicenter, larger, randomized, controlled clinical trials are needed to verify this conclusion.

Supporting information

S1 Fig.

A. Funnel plot of the proportion of corticosteroid treatments in COVID-19 patients by region. B. Funnel plot of the proportion of corticosteroid treatments in COVID-19 patients by severity. C. Funnel plot of the effect of corticosteroid treatments on viral clearance in COVID-19 patients. D. Funnel plot of mortality.

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S2 Fig. Proportion of corticosteroid treatments in COVID-19 patients: Overall and subgroup analyses stratified by dosage.

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S3 Fig. Proportion of corticosteroid treatments in COVID-19 patients: Analyses stratified by ventilation.

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S4 Fig. Proportion of corticosteroid treatments in COVID-19 patients: Overall and subgroup analyses stratified by risk of bias (B) and age (A).

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S5 Fig. Risk of bias of studies included in the meta-analysis presented as percentages using the Cochrane tool.

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S6 Fig. Summary of the risk of bias of each included study by risk of bias item.

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S1 Table. PRISMA 2009 checklist.

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S2 Table. Jadad quality scores.

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S1 File. 11 RCT protocols without results.

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S1 Data.

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(XLSM)

S2 Data.

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(CSV)

Citation: Wang J, Yang W, Chen P, Guo J, Liu R, Wen P, et al. (2021) The proportion and effect of corticosteroid therapy in patients with COVID-19 infection: A systematic review and meta-analysis. PLoS ONE 16(4): e0249481. https://doi.org/10.1371/journal.pone.0249481

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