Evaluating the impact of sickle cell disease on COVID-19 susceptibility and severity: a retrospective cohort study based on electronic health record

Jiajun Luo, Johnny Powell, Sage Ross, Julie Johnson, Christopher O. Olopade, Jayant Pinto, Karen Kim, Habibul Ahsan, Briseis Aschebrook-Kilfoy
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Abstract

Background Sickle cell trait/disease (SCT/SCD) are enriched among Black people and associated with various comorbidities. The overrepresentation of these characteristics prevents traditional regression approach obtaining convincing evidence for the independent effect of SCT/SCD on other health outcomes. This study aims to investigate the association between SCT/SCD and COVID-19-related outcomes using causal inference approaches that balance the covariate. Methods We leveraged electronic health record (EHR) data from the University of Chicago Medicine between March 2020 and December 2021. Demographic characteristics were retrieved. Medical conditions were identified using ICD-10 codes. Five approaches, including two traditional regression approaches (unadjusted and adjusted) and three causal inference approaches [covariate balancing propensity score (CBPS) matching, CBPS weighting, and CBPS adjustment], were employed. Results A total of 112,334 patients were included in the study, among which 504 had SCT and 388 SCD. Patients with SCT/SCD were more likely to be non-Hispanic Black people, younger, female, non-smokers, and had a diagnosis of diabetes, heart failure, asthma, and cerebral infarction. Causal inference approaches achieved a balanced distribution of these covariates while traditional approaches failed. Across these approaches, SCD was consistently associated with COVID-19-related pneumonia (odds ratios (OR) estimates, 3.23 (95% CI: 2.13–4.89) to 2.57 (95% CI: 1.10–6.00)) and pain (OR estimates, 6.51 (95% CI: 4.68–9.06) to 2.47 (95% CI: 1.35–4.49)). While CBPS matching suggested an association between SCD and COVID-19-related acute respiratory distress syndrome (OR = 2.01, 95% CI: 0.97–4.17), this association was significant in other approaches (OR estimates, 2.96 (95% CI: 1.69–5.18) to 2.50 (95% CI: 1.43–4.37)). No association was observed between SCT and COVID-19-related outcomes in causal inference approaches. Conclusion Using causal inference approaches, we provide comprehensive evidence for the link between SCT/SCD and COVID-19-related outcomes.
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评估镰状细胞病对COVID-19易感性和严重程度的影响:基于电子健康记录的回顾性队列研究
背景镰状细胞特征/疾病(SCT/SCD)在黑人中丰富,并与各种合并症相关。这些特征的过度代表性阻碍了传统回归方法获得令人信服的证据,证明SCT/SCD对其他健康结果的独立影响。本研究旨在利用平衡协变量的因果推理方法,调查SCT/SCD与covid -19相关结果之间的关系。方法利用2020年3月至2021年12月期间芝加哥大学医学院的电子健康记录(EHR)数据。检索人口统计学特征。使用ICD-10代码确定医疗状况。采用五种方法,包括两种传统回归方法(未调整和调整)和三种因果推理方法[协变量平衡倾向得分(CBPS)匹配,CBPS加权和CBPS调整]。结果共纳入112334例患者,其中SCT 504例,SCD 388例。SCT/SCD患者更有可能是非西班牙裔黑人、年轻、女性、不吸烟,并被诊断为糖尿病、心力衰竭、哮喘和脑梗死。因果推理方法实现了这些协变量的平衡分布,而传统方法则失败了。在这些方法中,SCD始终与covid -19相关的肺炎(比值比(OR)估计,3.23 (95% CI: 2.13-4.89)至2.57 (95% CI: 1.10-6.00))和疼痛(OR估计,6.51 (95% CI: 4.68-9.06)至2.47 (95% CI: 1.35-4.49))相关。虽然CBPS匹配表明SCD与covid -19相关的急性呼吸窘迫综合征之间存在关联(OR = 2.01, 95% CI: 0.97-4.17),但这种关联在其他方法中也很显著(OR估计为2.96 (95% CI: 1.69-5.18)至2.50 (95% CI: 1.43-4.37))。在因果推理方法中,未观察到SCT与covid -19相关结果之间的关联。通过因果推理方法,我们为SCT/SCD与covid -19相关结局之间的联系提供了全面的证据。
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