Abstract
Objective: The aim of this study was to investigate the impact of asthma on the risk for mortality among coronavirus disease 2019 (COVID-19) patients in the United States by a quantitative meta-analysis.
Methods: A random-effects model was used to estimate the pooled odds ratio (OR) with corresponding 95% confidence interval (CI). I 2 statistic, sensitivity analysis, Begg’s test, meta-regression and subgroup analyses were also performed.
Results: The data based on 56 studies with 426,261 COVID-19 patients showed that there was a statistically significant association between pre-existing asthma and the reduced risk for COVID-19 mortality in the United States (OR: 0.82, 95% CI: 0.74-0.91). Subgroup analyses by age, male proportion, sample size, study design and setting demonstrated that pre-existing asthma was associated with a significantly reduced risk for COVID-19 mortality among studies with age ≥ 60 years old (OR: 0.79, 95% CI: 0.72-0.87), male proportion ≥ 55% (OR: 0.79, 95% CI: 0.72-0.87), male proportion < 55% (OR: 0.81, 95% CI: 0.69-0.95), sample sizes ≥ 700 cases (OR: 0.80, 95% CI: 0.71-0.91), retrospective study/case series (OR: 0.82, 95% CI: 0.75-0.89), prospective study (OR: 0.83, 95% CI: 0.70-0.98) and hospitalized patients (OR: 0.82, 95% CI: 0.74-0.91). Meta-regression did reveal none of factors mentioned above were possible reasons of heterogeneity. Sensitivity analysis indicated the robustness of our findings. No publication bias was detected in Begg’s test (P = 0.4538).
Conclusion: Our findings demonstrated pre-existing asthma was significantly associated with a reduced risk for COVID-19 mortality in the United States.
Keywords: Asthma; COVID-19; Meta-analysis; Mortality; USA.
【저자키워드】 COVID-19, Meta-analysis, Asthma, Mortality, USA., 【초록키워드】 coronavirus disease, Meta-analysis, Asthma, Coronavirus disease 2019, Prospective Study, risk, hospitalized patients, heterogeneity, publication bias, meta-regression, Retrospective study, male, Patient, Study design, sensitivity analysis, age, United States, USA, Quantitative, association, retrospective, Analysis, COVID-19 mortality, Odds ratio, COVID-19 patient, Subgroup analyses, Factor, Sample size, 95% CI, 95% confidence interval, reduced risk, subgroup analysis, random-effects model, sample sizes, robustness, The United States, performed, was used, significantly, proportion, indicated, the United State, hospitalized patient, demonstrated, statistically significant, 【제목키워드】 Asthma, Impact,