ObjectiveTo evaluate association between biomarkers and outcomes in COVID-19 hospitalised patients. COVID-19 pandemic has been a challenge. Biomarkers have always played an important role in clinical decision making in various infectious diseases. It is crucial to assess the role of biomarkers in evaluating severity of disease and appropriate allocation of resources.Design and settingSystematic review and meta-analysis. English full text observational studies describing the laboratory findings and outcomes of COVID-19 hospitalised patients were identified searching PubMed, Web of Science, Scopus, medRxiv using Medical Subject Headings (MeSH) terms COVID-19 OR coronavirus OR SARS-CoV-2 OR 2019-nCoV from 1 December 2019 to 15 August 2020 following Meta-analyses Of Observational Studies in Epidemiology (MOOSE) guidelines.ParticipantsStudies having biomarkers, including lymphocyte, platelets, D-dimer, lactate dehydrogenase (LDH), C reactive protein (CRP), aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatinine, procalcitonin (PCT) and creatine kinase (CK), and describing outcomes were selected with the consensus of three independent reviewers.Main outcome measuresComposite poor outcomes include intensive care unit admission, oxygen saturation <90%, invasive mechanical ventilation utilisation, severe disease, in-hospital admission and mortality. The OR and 95% CI were obtained and forest plots were created using random-effects models. Publication bias and heterogeneity were assessed by sensitivity analysis.Results32 studies with 10 491 confirmed COVID-19 patients were included. We found that lymphopenia (pooled-OR: 3.33 (95% CI: 2.51–4.41); p<0.00001), thrombocytopenia (2.36 (1.64–3.40); p<0.00001), elevated D-dimer (3.39 (2.66–4.33); p<0.00001), elevated CRP (4.37 (3.37–5.68); p<0.00001), elevated PCT (6.33 (4.24–9.45); p<0.00001), elevated CK (2.42 (1.35–4.32); p=0.003), elevated AST (2.75 (2.30–3.29); p<0.00001), elevated ALT (1.71 (1.32–2.20); p<0.00001), elevated creatinine (2.84 (1.80–4.46); p<0.00001) and LDH (5.48 (3.89–7.71); p<0.00001) were independently associated with higher risk of poor outcomes.ConclusionOur study found a significant association between lymphopenia, thrombocytopenia and elevated levels of CRP, PCT, LDH, D-dimer and COVID-19 severity. The results have the potential to be used as an early biomarker to improve the management of COVID-19 patients, by identification of high-risk patients and appropriate allocation of healthcare resources in the pandemic.
Background COVID‐19 pandemic is a global health crisis. Very few studies have reported association between obesity and severity of COVID‐19. In this meta‐analysis, we assessed the association of obesity and outcomes in COVID‐19 hospitalized patients. Methods Data from observational studies describing the obesity or body mass index (BMI) and outcomes of COVID‐19 hospitalized patients from December 1, 2019, to August 15, 2020, was extracted following PRISMA guidelines with a consensus of two independent reviewers. Adverse outcomes defined as intensive care units (ICU), oxygen saturation <90%, invasive mechanical ventilation (IMV), severe disease and in‐hospital mortality. The odds ratio (OR) and 95% confidence interval (95%CI) were obtained and forest plots were created using random‐effects models. Results A total of 10 studies with 10,233 confirmed COVID‐19 patients were included. The overall prevalence of obesity in our study was 33.9% (3473/10,233). In meta‐analysis, COVID‐19 patient with obesity had higher odds of poor outcomes compared to better outcomes with a pooled OR of 1.88 (95%CI:1.25–2.80; p=0.002), with 86% heterogeneity between studies (p<0.00001). Conclusion Our study suggests a significant association between obesity and COVID‐19 severity and poor outcomes. Our results findings may have important suggestions for the clinical management and future research of obesity and COVID‐19. This article is protected by copyright. All rights reserved.
Highlights In this meta-analysis of 24 studies with 12882 confirmed COVID-19 patients, we assessed the association of comorbid liver disease, acute liver injury, and elevated liver enzymes with outcomes in COVID-19 hospitalized patients. Overall prevalence of pre-existing chronic liver disease and COVID-19-associated acute liver injury were 2.6% and 26.5%, respectively and elevated AST and ALT were 41.1% and 29.1%, respectively. In our study, COVID-19-associated acute liver injury was having 1.7 folds higher risk of poor outcomes. Elevated AST and ALT were also independently associated with higher odds of poor outcomes. These findings may help in early triage, close monitoring of the occurrence of liver injury, and careful use of drugs which can cause liver toxicity in COVID-19 patients.
The increasing COVID-19 cases in the USA have led to overburdening of healthcare in regard to invasive mechanical ventilation (IMV) utilization as well as mortality. We aim to identify risk factors associated with poor outcomes (IMV and mortality) of COVID-19 hospitalized patients. A meta-analysis of observational studies with epidemiological characteristics of COVID-19 in PubMed, Web of Science, Scopus, and medRxiv from December 1, 2019 to May 31, 2020 following MOOSE guidelines was conducted. Twenty-nine full-text studies detailing epidemiological characteristics, symptoms, comorbidities, complications, and outcomes were included. Meta-regression was performed to evaluate effects of comorbidities, and complications on outcomes using a random-effects model. The pooled correlation coefficient ( r ), 95% CI, and OR were calculated. Of 29 studies (12,258 confirmed cases), 17 reported IMV and 21 reported deaths. The pooled prevalence of IMV was 23.3% (95% CI: 17.1–30.9%), and mortality was 13% (9.3–18%). The age-adjusted meta-regression models showed significant association of mortality with male ( r : 0.14; OR: 1.15; 95% CI: 1.07–1.23; I 2 : 95.2%), comorbidities including pre-existing cerebrovascular disease ( r : 0.35; 1.42 (1.14–1.77); I 2 : 96.1%), and chronic liver disease ( r : 0.08; 1.08 (1.01–1.17); I 2 : 96.23%), complications like septic shock ( r : 0.099; 1.10 (1.02–1.2); I 2 : 78.12%) and ARDS ( r : 0.04; 1.04 (1.02–1.06); I 2 : 90.3%), ICU admissions ( r : 0.03; 1.03 (1.03–1.05); I 2 : 95.21%), and IMV utilization ( r : 0.05; 1.05 (1.03–1.07); I 2 : 89.80%). Similarly, male ( r : 0.08; 1.08 (1.02–1.15); I 2 : 95%), comorbidities like pre-existing cerebrovascular disease ( r : 0.29; 1.34 (1.09–1.63); I 2 :93.4%), and cardiovascular disease ( r : 0.28; 1.32 (1.1–1.58); I 2 : 89.7%) had higher odds of IMV utilization. COVID-19 patients with comorbidities including cardiovascular disease, cerebrovascular disease, and chronic liver disease had poor outcomes. Diabetes and hypertension had higher prevalence but no association with mortality and IMV. Our study results will be helpful in right allocation of resources towards patients who need them the most. Electronic supplementary material The online version of this article (10.1007/s42399-020-00476-w) contains supplementary material, which is available to authorized users.
Background Coronavirus disease-2019 (COVID-19), a pandemic that brought the whole world to a standstill, has led to financial and health care burden. We aimed to evaluate epidemiological characteristics, needs of resources, outcomes, and global burden of the disease. Methods Systematic review was performed searching PubMed from December 1, 2019, to March 25, 2020, for full-text observational studies that described epidemiological characteristics, following MOOSE protocol. Global data were collected from the JHU-Corona Virus Resource Center, WHO-COVID-2019 situation reports, KFF.org, and Worldometers.info until March 31, 2020. The prevalence percentages were calculated. The global data were plotted in excel to calculate case fatality rate (CFR), predicted CFR, COVID-19 specific mortality rate, and doubling time for cases and deaths. CFR was predicted using Pearson correlation, regression models, and coefficient of determination. Results From 21 studies of 2747 patients, 8.4% of patients died, 20.4% recovered, 15.4% were admitted to ICU and 14.9% required ventilation. COVID-19 was more prevalent in patients with hypertension (19.3%), smoking (11.3%), diabetes mellitus (10%), and cardiovascular diseases (7.4%). Common complications were pneumonia (82%), cardiac complications (26.4%), acute respiratory distress syndrome (15.7%), secondary infection (11.2%), and septic shock (4.3%). Though CFR and COVID-19 specific death rates are dynamic, they were consistently high for Italy, Spain, and Iran. Polynomial growth models were best fit for all countries for predicting CFR. Though many interventions have been implemented, stern measures like nationwide lockdown and school closure occurred after very high infection rates (>10cases per 100 000population) prevailed. Given the trend of government measures and decline of new cases in China and South Korea, most countries will reach the peak between April 1-20, if interventions are followed. Conclusions A collective approach undertaken by a responsible government, wise strategy implementation and a receptive population may help contain the spread of COVID-19 outbreak. Close monitoring of predictive models of such indicators in the highly affected countries would help to evaluate the potential fatality if the second wave of pandemic occurs. The future studies should be focused on identifying accurate indicators to mitigate the effect of underestimation or overestimation of COVID-19 burden.
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