Institute for Public Health and Management, Feinberg School of Medicine, Chicago, IL, 60611, USA.
Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, 91101, USA.
BMC Infect Dis. 2023 Feb 24;23(1):115. doi: 10.1186/s12879-023-08026-0.
Statin use prior to hospitalization for Coronavirus Disease 2019 (COVID-19) is hypothesized to improve inpatient outcomes including mortality, but prior findings from large observational studies have been inconsistent, due in part to confounding. Recent advances in statistics, including incorporation of machine learning techniques into augmented inverse probability weighting with targeted maximum likelihood estimation, address baseline covariate imbalance while maximizing statistical efficiency.
To estimate the association of antecedent statin use with progression to severe inpatient outcomes among patients admitted for COVD-19.
DESIGN, SETTING AND PARTICIPANTS: We retrospectively analyzed electronic health records (EHR) from individuals ≥ 40-years-old who were admitted between March 2020 and September 2022 for ≥ 24 h and tested positive for SARS-CoV-2 infection in the 30 days before to 7 days after admission.
Antecedent statin use-statin prescription ≥ 30 days prior to COVID-19 admission.
Composite end point of in-hospital death, intubation, and intensive care unit (ICU) admission.
Of 15,524 eligible COVID-19 patients, 4412 (20%) were antecedent statin users. Compared with non-users, statin users were older (72.9 (SD: 12.6) versus 65.6 (SD: 14.5) years) and more likely to be male (54% vs. 51%), White (76% vs. 71%), and have ≥ 1 medical comorbidity (99% vs. 86%). Unadjusted analysis demonstrated that a lower proportion of antecedent users experienced the composite outcome (14.8% vs 19.3%), ICU admission (13.9% vs 18.3%), intubation (5.1% vs 8.3%) and inpatient deaths (4.4% vs 5.2%) compared with non-users. Risk differences adjusted for labs and demographics were estimated using augmented inverse probability weighting with targeted maximum likelihood estimation using Super Learner. Statin users still had lower rates of the composite outcome (adjusted risk difference: - 3.4%; 95% CI: - 4.6% to - 2.1%), ICU admissions (- 3.3%; - 4.5% to - 2.1%), and intubation (- 1.9%; - 2.8% to - 1.0%) but comparable inpatient deaths (0.6%; - 1.3% to 0.1%).
After controlling for confounding using doubly robust methods, antecedent statin use was associated with minimally lower risk of severe COVID-19-related outcomes, ICU admission and intubation, however, we were not able to corroborate a statin-associated mortality benefit.
先前有研究假设,在因 2019 年冠状病毒病(COVID-19)住院前使用他汀类药物可改善住院患者的预后,包括死亡率,但由于混杂因素,先前来自大型观察性研究的结果并不一致。最近统计学的进展,包括将机器学习技术纳入增强逆概率加权与靶向最大似然估计,在最大限度地提高统计效率的同时,解决了基线协变量不平衡的问题。
评估 COVID-19 住院患者中先前使用他汀类药物与进展为严重住院结局的相关性。
设计、地点和参与者:我们回顾性分析了电子健康记录(EHR),纳入了 2020 年 3 月至 2022 年 9 月期间因 COVID-19 住院时间超过 24 小时且在入院前 30 天至入院后 7 天内 SARS-CoV-2 感染检测呈阳性的≥40 岁个体。
先前使用他汀类药物-他汀类药物处方在 COVID-19 入院前≥30 天。
住院期间死亡、插管和重症监护病房(ICU)入院的复合终点。
在 15524 名符合条件的 COVID-19 患者中,4412 名(20%)是先前使用他汀类药物的患者。与非使用者相比,他汀类药物使用者年龄更大(72.9(SD:12.6)岁比 65.6(SD:14.5)岁),更可能为男性(54%比 51%)、白人(76%比 71%)和存在≥1 种合并症(99%比 86%)。未经调整的分析表明,与非使用者相比,先前使用者发生复合结局(14.8%比 19.3%)、ICU 入院(13.9%比 18.3%)、插管(5.1%比 8.3%)和住院死亡(4.4%比 5.2%)的比例较低。使用 Super Learner 进行靶向最大似然估计的增强逆概率加权估计了经过实验室和人口统计学调整的风险差异。他汀类药物使用者的复合结局发生率仍较低(调整风险差异:-3.4%;95%CI:-4.6%至-2.1%)、ICU 入院(-3.3%;-4.5%至-2.1%)和插管(-1.9%;-2.8%至-1.0%),但住院死亡相似(0.6%;-1.3%至 0.1%)。
使用双重稳健方法控制混杂因素后,先前使用他汀类药物与 COVID-19 相关严重结局、ICU 入院和插管的风险略有降低,但我们无法证实他汀类药物与死亡率降低相关。