Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA Department of Dermatology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
Diabetes Care. 2015 Oct;38(10):1852-7. doi: 10.2337/dc15-0536. Epub 2015 Jul 22.
The goal of the study was to determine whether complications of diabetes well-known to be associated with death such as cardiovascular disease and renal failure fully explain the higher rate of death in those who have undergone a lower-extremity amputation (LEA).
This was a longitudinal cohort study of patients cared for in the Health Improvement Network. Our primary exposure was LEA and outcome was all-cause death. Our "risk factor variables" included a history of cardiovascular disease (a history of myocardial infarctions, cerebrovascular accident, and peripheral vascular disease/arterial insufficiency), Charlson index, and a history of chronic kidney disease. We estimated the effect of LEA on death using Cox proportional hazards models.
The hazard ratio (HR) for death after an LEA was 3.02 (95% CI 2.90, 3.14). The fully adjusted (all risk factor variables) LEA HR was diminished only by ∼22% to 2.37 (2.27, 2.48). Furthermore, LEA had an area under the receiver operating curve (AUC) of 0.51, which is poorly predictive, and the fully adjusted model had an AUC of 0.77, which is better but not strongly predictive. Sensitivity analysis revealed that it is unlikely that there exists an unmeasured confounder that can fully explain the association of LEA with death.
Individuals with diabetes and an LEA are more likely to die at any given point in time than those who have diabetes but no LEA. While some of this variation can be explained by known complications of diabetes, there remains a large amount of unexplained variation.
本研究旨在确定下肢截肢(LEA)患者的死亡率较高是否完全由已知与死亡相关的糖尿病并发症(如心血管疾病和肾衰竭)所致。
这是一项在健康改善网络中接受治疗的患者的纵向队列研究。我们的主要暴露因素是 LEA,结局是全因死亡。我们的“风险因素变量”包括心血管疾病史(心肌梗死、中风和外周血管疾病/动脉功能不全病史)、Charlson 指数和慢性肾脏病史。我们使用 Cox 比例风险模型估计 LEA 对死亡的影响。
LEA 后死亡的风险比(HR)为 3.02(95%CI 2.90,3.14)。完全调整(所有风险因素变量)的 LEA HR 仅降低了约 22%,为 2.37(2.27,2.48)。此外,LEA 的接收者操作特征曲线(ROC)下面积(AUC)为 0.51,预测效果较差,而完全调整的模型 AUC 为 0.77,预测效果更好但不很强。敏感性分析表明,不太可能存在未测量的混杂因素可以完全解释 LEA 与死亡之间的关联。
与无 LEA 的糖尿病患者相比,患有糖尿病和 LEA 的个体在任何特定时间点死亡的可能性更高。虽然这种差异的一部分可以用已知的糖尿病并发症来解释,但仍有大量无法解释的差异。