key: cord-0881896-ma2d6yqr authors: Chang, Po-Cheng; Yang, Chien-Chang; Kao, Kuo-Chin; Wen, Ming-Shien title: Clinical outcomes of patients hospitalized for COVID-19 versus SARS: a meta-analysis date: 2020-11-24 journal: Aging (Albany NY) DOI: 10.18632/aging.104139 sha: 41dbcc06adc978af32a2c10e1aa6bef58646ed4c doc_id: 881896 cord_uid: ma2d6yqr Estimating the case-fatality rate and clinical outcomes for patients with coronavirus disease 2019 (COVID-19) is crucial because health care systems must adequately prepare for outbreaks and design appropriate policies. A systematic search of PubMed, Embase, and Medline+Journal (via OVID) were conducted for relevant journal publications from database inception to May 4, 2020. Articles that reported the fatality rates and clinical outcomes of patients hospitalized for COVID-19 or severe acute respiratory syndrome (SARS) infection were included. Nine clinical reports (four SARS reports and five COVID-19 reports) with a total of 851 patients (367 and 484 patients with SARS and COVID-19, respectively) were analyzed. A greater proportion of hospitalized patients with COVID-19 had bilateral pneumonia (90.0% [76.3%–96.2%] vs. 35.9% [21.4%–53.6%], p < 0.001) and required ventilators (23.8% [18.8%–29.6%] vs. 15.3% [11.9%–19.4%], p = 0.010) compared with hospitalized patients with SARS. The case-fatality rate was 9.5% (6.5%–13.7%) and 6.1% (3.5%–10.3%) among patients with COVID-19 and SARS, respectively (p = 0.186). The case-fatality rate among hospitalized patients with COVID-19 was comparable to that during the 2003 SARS outbreak. A higher incidence of bilateral pneumonia and increased ventilator usage were noted among patients with COVID-19 compared with patients with SARS. Estimating case-fatality rates is crucial because health care systems must adequately prepare for outbreaks and implement appropriate policies. However, determining the case-fatality rate during the COVID-19 pandemic is challenging. In particular, real-time report databases and clinical observation without adequate follow-up during the outbreak may provide misleading information. During an overwhelming outbreak, shortages of diagnostic tests and therapeutic resources can result in distorted outcome data. Accurate records of symptoms and presentations are essential for estimating outcomes. Therefore, we considered that medical data acquired from hospitalized patients may satisfy the fundamental requirements for accuracy. The objective of this study was to compare clinical outcomes in patients hospitalized for COVID-19 with those of patients hospitalized for SARS. This study assessed case-fatality rate, pulmonary infiltration in chest radiography, pneumonia over the bilateral lungs, progression to acute respiratory distress syndrome (ARDS), ventilator use, and intensive care unit (ICU) admission rate. A literature search yielded a total of 1372 records, from which we removed 669 duplicates ( Figure 1 ). After abstract screening, we excluded 660 studies that did not Data are presented as a number (percentage) or the mean ± standard deviation. ALT, alanine transaminase; BUN, blood urea nitrogen; BNP, B-type natriuretic peptide. In the included articles, patients hospitalized for COVID-19 had a higher average age than those hospitalized for SARS. The prevalence of cardiovascular disease, hypertension, diabetes, and COPD among patients with COVID-19 was also higher than that among patients with SARS. Although reports showed a high prevalence of asymptomatic carriers or cases with minimal symptoms among patients with COVID-19, COVID-19 infection was associated with a higher rate of abnormal chest radiography findings than was SARS infection. Hospitalized patients with COVID-19 also had a greater risk of developing bilateral pneumonia and a higher prevalence of progression to ARDS compared with patients hospitalized for SARS infection. The case-fatality rates among patients hospitalized for COVID-19 and SARS infection were similarly high. Clinical presentations did not include the loss of smell or loss of taste as symptoms in the eligible articles. Researchers have recently become aware of olfactory and gustatory disorders as prevalent symptoms among patients with COVID-19, who may not have other airway symptoms [13] . Whether patients with SARS also developed loss of smell or loss of taste is unclear. Notably, anosmia was found in one case reported during the SARS outbreak [14] . Clinical manifestations are not the only indicators of active virus shedding. Although most patients included AGING in this study were symptomatic, asymptomatic COVID-19 and SARS infections and colonizations were also present [15] [16] [17] . Asymptomatic patients were able to spread the virus to other members of the public. Moreover, some patients could spread the virus even after recovering from COVID-19 or SARS infection [18, 19] . Asymptomatic carriers or patients with few symptoms may pose problems for containing virus outbreaks. Therefore, wearing a facemask could be helpful for containment in light of silent spreaders. The COVID-19 group had a higher prevalence of cardiovascular disease, hypertension, and diabetes than the SARS group. SARS-CoV-2, like other coronaviruses, utilizes spike glycoprotein to bind to angiotensin-converting enzyme 2 (ACE2) on the host cell surface [20] . One report showed that the affinity of SARS-CoV-2 to human ACE2 is higher than that of SARS-CoV [21] . The use of ACE inhibitors and angiotensin-converting enzyme blockers (ARBs) increases cellular expression of ACE2 [22] . This finding may partially explain the higher prevalence of cardiovascular disease, hypertension, and diabetes in the COVID-19 group than in the SARS group. Increased ACE2 expression raises the concern of using ACE inhibitors or ARBs in patients with COVID-19 infection. However, adequate evidence to confirm the causal association between the use of ACE inhibitors or ARBs and a higher risk of COVID-19 infection is lacking. A recent report indicated that the use of ACE inhibitors and ARBs was more common among patients with COVID-19 than among controls because of their higher prevalence of cardiovascular disease rather than because of their use of these medications [23] . Estimation of case outcomes may vary by country because of differences in mitigation policies, diagnostic criteria, extent of RT-PCR tests, and availability of health care. Patients commonly remain asymptomatic or have mild symptoms after COVID-19 or SARS infection. Many patients without severe symptoms were not counted as confirmed cases. In one RT-PCR study, approximately 11.5% of well-protected health care www.aging-us.com 24557 AGING workers exposed to patients with SARS were found to have virus colonization or infection, and only approximately 10% of these developed severe symptoms [16] . Another report also revealed that 78% of cases identified during the COVID-19 outbreak were asymptomatic [15] . The policies for RT-PCR swab tests vary among countries: some conduct extensive testing, and some provide testing only for symptomatic cases. These findings demonstrate that accurate estimation is a challenge. However, many fatal cases may go unrecognized because they did not fulfill the testing criteria or because health care institutions are unable to provide testing during overwhelming outbreaks. These variations mean that estimates of case fatality in largescale patient populations are unreliable. Therefore, we assessed patient outcomes of a hospitalized population from reports by using data observed directly in hospitals. From a public health perspective, accurate clinical outcome estimates are essential for officials to make adequate preparations and implement appropriate policies for virus containment. As of April 12, 2020, Taiwan had a total of 388 confirmed COVID-19 cases, including only 54 locally transmitted cases. The case number was far fewer than anticipated, with initial models predicting that Taiwan would be at the secondhighest risk of imported cases [24] . Initial reports of the COVID-19 outbreak in Wuhan, China [4] [5] [6] [7] [8] revealed a similar clinical pattern to that of the SARS outbreak in 2003 [25] [26] [27] [28] . Early precautions and awareness of the disease's severity played a prominent role in Taiwan's success in containing COVID-19 [29] . The diagnostic criteria for SARS and COVID-19 were different. The COVID-19 reports included patients who fulfilled the WHO diagnostic criteria and had positive RT-PCR test results. However, the diagnostic criteria for SARS were based on clinical presentation and history of direct contact with a person who became ill after exposure to an index patient. The patient populations were also different: the COVID-19 group was older, had more male patients, and had a higher prevalence of chronic diseases than the SARS group did. The poorer outcomes among patients with COVID-19 may be associated with their older age and higher prevalence of chronic diseases. These two outbreaks occurred in different countries and regions. The case-fatality rate is substantially affected by the preparedness and availability of health care services. Health care systems have advanced in the past two decades, and most institutions were able to manage ARDS. The fatality rate may increase during fast-spreading periods, and the reports analyzed in this study were published before overwhelming COVID-19 or SARS outbreaks. Patients with mild symptoms were not included in this study; therefore, the study lacks a direct comparison of severity scores between patients who were hospitalized for COVID-19 and those hospitalized for SARS. We do not reject the possibility of different severities between these two groups because the existing data are insufficient to measure the severity of pneumonia. The reports included only hospitalized patients, and thus patients with mild symptoms were not included. During the 2003 SARS outbreak, some of these cases of mild infection were also undetected because of limited molecular diagnostic tools. In an RT-PCR study, approximately 11.5% of well-protected health care workers exposed to patients with SARS were found to have virus colonization or infection, and only approximately 10% of these developed severe symptoms [16] . According to epidemiological reports [30] , positive anti-SARS-CoV immunoglobin G seroprevalence was 0.23% among SARS health care workers and 0.10% among healthy individuals, indicating the existence of undiagnosed patients with SARS with relatively mild symptoms. During the early stages of the SARS and COVID-19 outbreaks, physicians admitted patients on the basis of clinical judgment rather than positive molecular test results. Therefore, the severity of pneumonia in the case studies should indicate the fulfillment of criteria for admission. In summary, the patients hospitalized for COVID-19 were older and had a higher prevalence of chronic diseases than patients hospitalized for SARS. COVID-19 infection was associated with a higher rate of abnormal chest radiography findings, a greater risk of developing bilateral pneumonia, and a higher incidence of progression to ARDS compared with SARS infection. The case-fatality rate was similarly high among patients hospitalized for COVID-19 and SARS infections. This meta-analysis of published studies was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A systematic search of PubMed, Embase (via Ovid), and Medline journals (via Ovid) was conducted. The database search period was from database inception to May 4, 2020. The complete search algorithms are provided in the supplementary data. The keywords included a combination of severe acute respiratory syndrome, SARS, SARS-CoV-2, COVID-19, coronavirus, and case report (see Supplementary Material 1). Only full-text English-language journal articles and research involving humans were included. Two researchers (Chang PC and Yang CC) evaluated the included studies by using the United States National Heart, Lung, and Blood Institute and Research Triangle Institute Study Quality Assessment (Supplementary Table 1 ). All included studies were assessed for quality. The two researchers independently extracted clinical presentation and outcome data. The data were reevaluated, and consensus was reached in the case of discrepancies. All clinical reports that included clinical outcomes (including chest radiography presentations, ventilator support, ICU admission, and death) for COVID-19 and SARS infection were included. Case reports or case series with fewer than 10 patients were excluded. Papers reporting only laboratory outcomes, radiology presentations, or epidemiological information rather than detailed clinical outcomes were also excluded. Because clinical outcomes are time dependent, papers were also excluded if the follow-up duration of the enrolled patients was less than 14 days. We did not include studies that enrolled only particular patient populations, such as pregnant women, fatal cases, patients undergoing hemodialysis, or asymptomatic cases. If papers were based on the same group of patients, we included the article with the largest patient group and the most complete outcome data. Because the disease severity in hospital-based direct observation studies was discrepant with data from large-scale database reports, this study included only hospital-based direct observation studies ( Figure 1 ). Relevant information was collected by Chang PC and Yang CC. The study-level characteristics extracted were the name of first author, publication year, region, number of patients, patient demographics (age and sex), 6 types of comorbidity, 10 categories of clinical presentation, and 10 types of laboratory results (if available). Data for outcomes of interest were collected, including abnormal chest radiography results, unilateral pneumonia, bilateral pneumonia, ICU admission, progression to ARDS, ventilator usage, and death. This meta-analysis included studies that did not directly compare the study groups (COVID-19 and SARS) and pooled rates of events from the included studies for comparison. Random-effects models were used to pool the estimates (the rates of events) of clinical outcomes from individual studies for each study group. An I 2 value greater than 50% was considered to indicate substantial heterogeneity across the studies. Was the research question or objective in this paper clearly stated? Was the study population clearly specified and defined? Was the participation rate of eligible persons at least 50%? Were all the subjects selected or recruited from the same or similar populations (including the same time period)? Were inclusion and exclusion criteria for being in the study prespecified and applied uniformly to all participants? Were the outcome assessors blinded to the exposure status of participants? NA/NA NA/NA NA/NA NA/NA NA/NA NA/NA NA/NA NA/NA NA/NA Was loss to follow-up after baseline 20% or less? Were key potential confounding variables measured and adjusted statistically for their impact on the relationship between exposure(s) and outcome(s)? NA Source of the quality assessment tool: https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools and China Novel Coronavirus Investigating and Research Team. 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Embase: ('severe acute respiratory distress syndrome' OR 'sars'/exp OR '2019-ncov' OR 'covid 19'/exp) AND ('case report Medline+Journals@Ovid ((severe acute respiratory syndrome or SARS or SARS-CoV-2 or COVID-19) and coronavirus and cases).mp. [mp=title, abstract, original title, name of substance word, subject heading word, floating sub-heading word, keyword heading word, organism supplementary concept word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier, synonyms] Pubmed: ((severe acute respiratory syndrome) or (SARS) or (SARS-CoV-2) or (COVID-19)) and (coronavirus) and (patient) Filters We thank Mr. Alfred Hsing-Fen Lin for his assistance with statistical analysis during the completion of this manuscript. This manuscript was edited by Wallace Academic Editing. These authors declare no conflicts of interest. This study was supported by the Chang Gung Research Database and the Chang Gung Medical Foundation (BMRP D62 to Chang PC).