Comparison of All-Cause Mortality Between Individuals With COVID-19 and Propensity Score-Matched Individuals Without COVID-19 in South Korea

A Meta-Analysis on the Association between Peptic Ulcer Disease and COVID-19 Severity

The association between peptic ulcer disease and the severity of coronavirus disease 2019 (COVID-19) is inconclusive across individual studies. Thus, this study aimed to investigate whether there was a significant association between peptic ulcer disease and COVID-19 severity through a meta-analysis. The electronic databases (Web of Science, Wiley, Springer, EMBASE, Elsevier, Cochrane Library, Scopus and PubMed) were retrieved for all eligible studies. The Stata 11.2 software was used for all statistical analyses. The pooled odds ratio (OR) with a 95% confidence interval (CI) was calculated by a random-effects meta-analysis model. The heterogeneity was evaluated by the inconsistency index (I²) and Cochran's Q test. Egger's analysis and Begg's analysis were conducted to evaluate the publication bias. Meta-regression analysis and subgroup analysis were done to explore the potential source of heterogeneity. Totally, our findings based on confounding variables-adjusted data indicated that there was no significant association between peptic ulcer disease and the higher risk for COVID-19 severity (pooled OR = 1.17, 95% CI: 0.97-1.41) based on 15 eligible studies with 4,533,426 participants. When the subgroup analysis was performed by age (mean or median), there was a significant association between peptic ulcer disease and a higher risk for COVID-19 severity among studies with age ≥ 60 years old (pooled OR = 1.15, 95% CI: 1.01-1.32), but not among studies with age < 60 years old (pooled OR = 1.16, 95% CI: 0.89-1.50). Our meta-analysis showed that there was a significant association between peptic ulcer disease and a higher risk for COVID-19 severity among older patients but not among younger patients.

Significant association between HIV infection and increased risk of COVID-19 mortality: a meta-analysis based on adjusted effect estimates

To investigate the relationship between human immunodeficiency virus (HIV) infection and the risk of mortality among coronavirus disease 2019 (COVID-19) patients based on adjusted effect estimate by a quantitative meta-analysis. A random-effects model was used to estimate the pooled effect size (ES) with corresponding 95% confidence interval (CI). I² statistic, sensitivity analysis, Begg’s test, meta-regression and subgroup analyses were also conducted. This meta-analysis presented that HIV infection was associated with a significantly higher risk of COVID-19 mortality based on 40 studies reporting risk factors-adjusted effects with 131,907,981 cases (pooled ES 1.43, 95% CI 1.25–1.63). Subgroup analyses by male proportion and setting yielded consistent results on the significant association between HIV infection and the increased risk of COVID-19 mortality. Allowing for the existence of heterogeneity, further meta-regression and subgroup analyses were conducted to seek the possible source of heterogeneity. None of factors might be possible reasons for heterogeneity in the further analyses. Sensitivity analysis indicated the robustness of this meta-analysis. The Begg’s test manifested that there was no publication bias (P = 0.2734). Our findings demonstrated that HIV infection was independently associated with a significantly increased risk of mortality in COVID-19 patients. Further well-designed studies based on prospective study estimates are warranted to confirm our findings.

All-cause mortality in COVID-19 patients receiving statin therapy: analysis of veterans affairs database cohort study

Statins have been advocated as a potential treatment for coronavirus disease-2019 (COVID-19) due to its pleotropic properties. The aim of the study was to elucidate the association between antecedent statin exposure and 30-day all-cause mortality, intensive care unit (ICU) admission and hypoxic respiratory failure requiring mechanical ventilation in patients diagnosed with COVID-19. Observational cohort study derived from the VA Corporate Data Warehouse of all veterans tested positive for COVID-19 between January 1st and May 31st, 2020. Antecedent use of statins was defined as a redeemed drug prescription in the 6 months prior to COVID-19 diagnosis. Propensity-matched mixed-effects logistic regression was performed, stratified by statin use. The study population comprised 14,268 patients with COVID-19 (median age 66 years (25th-75th percentile, 53-74), 90.7% men), of whom 7,168 were receiving a prescription for statins. Patients with statin exposure had a greater prevalence of comorbidities and a higher risk of mortality (Odd ratio [OR] 1.52; 95% confidence interval [CI] 1.37-1.68). After adjusting for covariates, statin exposure was not associated with a decreased mortality in the overall cohort by either Cox proportional hazards stratified model (HR 0.99; 95% CI 0.88-1.12) or propensity matching (HR .86; 95% CI 0.74-1.01). Similarly, there was no demonstrated advantage of statins in reducing the risk of ICU admission (HR 0.92; 95% CI 0.74-1.31) or hypoxic respiratory failure requiring mechanical ventilation (HR 1.02; 95% CI 0.81-1.29). Antecedent statin exposure in patients with COVID-19 was not associated with a decreased risk of 30-day all-cause mortality or need for mechanical ventilation.