利用大数据识别 COVID-19 患者哮喘对死亡率的影响。
Using Big Data to Identify Impact of Asthma on Mortality in Patients with COVID-19.
机构信息
Icahn School of Medicine at Mount Sinai, USA.
出版信息
Stud Health Technol Inform. 2022 May 25;294:352-356. doi: 10.3233/SHTI220473.
The goal of this paper was to assess if mortality in COVID-19 positive patients is affected by a history of asthma in anamnesis. A total of 48,640 COVID-19 positive patients were included in our analysis. A propensity score matching was carried out to match each asthma patient with two patients without history of chronic respiratory diseases in one stratum. Matching was based on age, comorbidity score, and gender. Conditional logistics regression was used to compute within each strata. There were 5,557 strata in this model. We included asthma, ethnicity, race, and BMI as risk factors. The results showed that the presence of asthma in anamnesis is a statistically significant protective factor from mortality in COVID-19 positive patients.
本文旨在评估 COVID-19 阳性患者的既往哮喘病史是否会影响死亡率。我们共纳入了 48640 名 COVID-19 阳性患者进行分析。采用倾向评分匹配法，在每一层中为每个哮喘患者匹配两名无慢性呼吸系统疾病病史的患者。匹配因素包括年龄、合并症评分和性别。在每一层中使用条件逻辑回归进行计算。该模型共包含 5557 层。我们将哮喘、种族、民族和 BMI 作为危险因素纳入其中。结果表明，COVID-19 阳性患者的既往哮喘病史是一个统计学上显著的保护因素，可以降低死亡率。
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