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《墨西哥公共卫生杂志》（*Salud Pública de México*）接收待刊的论文补充材料，论文标题为《2011-2019年墨西哥哈利斯科州接受慢性肾脏病（chronic kidney disease, CKD）筛查的2型糖尿病（type 2 diabetes, T2D）患者行政队列的过早死亡情况：基于死亡登记数据分析的证据》。 本研究针对该地区未参保的2型糖尿病慢性肾脏病筛查人群展开，旨在分析其生存结局，并描述与过早死亡相关的临床及人口学特征，以论证针对高危人群开展慢性肾脏病早期筛查、治疗及规范化随访干预的必要性。本研究通过概率链接算法将死亡登记数据与慢性肾脏病筛查队列数据进行关联，构建行政队列。 本次共享的补充材料分为以下三个部分： 1. 第一部分介绍早期慢性肾脏病筛查项目所采用的流程，本研究中将本次筛查所得的数据库命名为T2D-CKD数据库。 2. 第二部分介绍Cox比例风险模型（Cox proportional hazards models）的设定方法。本研究采用该模型，以筛查时采集的临床及人口学特征作为协变量，以全因死亡、慢性肾脏病相关死亡及全因过早死亡作为结局变量，分析各因素与结局的关联。 3. 第三部分提供补充表格，标题为《接受慢性肾脏病筛查的2型糖尿病患者生存相关临床及人口学特征：未校正与校正Cox比例风险模型分析结果》。