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评估镰状细胞病对新型冠状病毒肺炎易感性和严重程度的影响:一项基于电子健康记录的回顾性队列研究

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

作者信息

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

机构信息

Department of Public Health Sciences, University of Chicago, Chicago, IL, United States.

Institute for Population and Precision Health, University of Chicago, Chicago, IL, United States.

出版信息

Front Epidemiol. 2023 Sep 12;3:1241645. doi: 10.3389/fepid.2023.1241645. eCollection 2023.

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.

摘要

背景

镰状细胞性状/疾病(SCT/SCD)在黑人中更为常见,并与多种合并症相关。这些特征的过度存在使得传统回归方法难以获得令人信服的证据来证明SCT/SCD对其他健康结局的独立影响。本研究旨在使用平衡协变量的因果推断方法来研究SCT/SCD与COVID-19相关结局之间的关联。

方法

我们利用了芝加哥大学医学中心2020年3月至2021年12月的电子健康记录(EHR)数据。检索了人口统计学特征。使用ICD-10编码识别医疗状况。采用了五种方法,包括两种传统回归方法(未调整和调整)以及三种因果推断方法[协变量平衡倾向评分(CBPS)匹配、CBPS加权和CBPS调整]。

结果

本研究共纳入112,334例患者,其中504例有SCT, 388例有SCD。SCT/SCD患者更有可能是非西班牙裔黑人、年轻、女性、不吸烟者,并且被诊断患有糖尿病、心力衰竭、哮喘和脑梗死。因果推断方法实现了这些协变量的平衡分布,而传统方法则未能做到。在这些方法中,SCD始终与COVID-19相关肺炎(优势比(OR)估计值为3.23(95%CI:2.13 - 4.89)至2.57(95%CI:1.10 - 6.00))和疼痛(OR估计值为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),但在其他方法中这种关联具有显著性(OR估计值为2.96(95%CI:1.69 - 5.18)至2.50(95%CI:1.43 - 4.37))。在因果推断方法中未观察到SCT与COVID-19相关结局之间的关联。

结论

使用因果推断方法,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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f0a/10910923/9ec04a4e5cec/fepid-03-1241645-g001.jpg

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