Premature mortality in an administrative cohort of individuals living with type 2 diabetes screened for chronic kidney disease in Jalisco, Mexico 2011-2019. Evidence from a death registry analysis. Supplementary material

This document contains the supplementary material for the article titled “Premature mortality in an administrative cohort of individuals living with type 2 diabetes screened for chronic kidney disease in Jalisco, Mexico 2011-2019. Evidence from a death registry analysis”, accepted for publication in the Journal Salud Pública de México. This study aims to analyze survival outcomes and describe clinical and demographic characteristics linked to premature mortality in an uninsured population with type 2 diabetes (T2D) screened for chronic kidney disease (CKD). Our objective is to demonstrate the need for protocolized interventions for early detection, treatment, and follow-up of CKD in high-risk populations. We designed an administrative cohort by linking mortality records with data from a CKD screening campaign using a probabilistic linkage algorithm. The supplementary material shared here is divided into three sections: Section 1 describes the procedures used in an early CKD detection campaign, from which we obtained the database we have named T2D-CKD database in our study. Section 2 describes Cox proportional hazards models specification. We used these models to analyze the associations between clinical and demographic characteristics at screening as covariates, and all-cause, CKD-related, and all-cause premature mortality as outcome variables. In Section 3, we provide a supplementary table titles Clinical and demographic characteristics associated with survival in a T2D population screened for CKD. Unadjusted and adjusted Cox proportional hazards models.

本文件为已被《Salud Pública de México》（墨西哥公共卫生杂志）接收发表的题为《墨西哥哈利斯科州2011-2019年接受慢性肾病筛查的2型糖尿病患者行政队列过早死亡情况：死亡登记分析证据》的文章的补充材料。本研究旨在分析未参保的2型糖尿病（type 2 diabetes, T2D）患者群体的生存结局，并描述与过早死亡相关的临床及人口统计学特征，该群体均接受过慢性肾病（chronic kidney disease, CKD）筛查。我们的研究目标是论证在高风险人群中开展慢性肾病规范化早期检测、治疗及随访干预的必要性。本研究通过概率链接算法，将死亡登记数据与慢性肾病筛查项目的数据进行关联，构建了行政队列。本次共享的补充材料分为三个部分：第1部分描述了慢性肾病早期筛查项目所采用的流程，本研究中使用的数据库即来源于该项目，并将其命名为T2D-CKD数据库。第2部分对Cox比例风险模型（Cox proportional hazards models）的设定进行说明。我们使用该模型分析筛查时采集的临床与人口统计学特征作为协变量，与全因死亡、慢性肾病相关死亡及全因过早死亡这三类结局变量之间的关联。第3部分提供补充表格，题为《接受慢性肾病筛查的2型糖尿病患者生存相关临床及人口统计学特征：未校正与校正Cox比例风险模型》。