地区贫困指数预测中西部某大型医疗系统中新确诊的高血压和 2 型糖尿病患者每年的慢性肾病筛查和慢性肾病发展情况:一项回顾性队列研究

Marybeth Ingle, Rasha Khatib, Yuxian Du, Vesta Valuckaite, Rakesh Singh, Sheldon X Kong, Todd E. Williamson, Sarang Baman
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摘要

我们探讨了地区贫困指数(ADI)--一种全国性的邻里社会人口劣势排名--与新诊断为高血压(HTN)或2型糖尿病(T2DM)患者的慢性肾脏病(CKD)筛查和发展之间的关系。我们对2015年至2018年期间在一个大型医疗系统中新诊断为高血压或T2DM的患者(n=235 208)进行了为期3年的随访,以评估CKD筛查(一个估计肾小球滤过率和尿白蛋白-肌酐比值)和CKD发展情况。多变量逻辑回归模型评估了 ADI 五分位数与 CKD 筛查和诊断之间的关联。大多数患者为白人(57%)、女性(55%)、高血压(65%),很少有人在确诊后第一年接受筛查(17%),9%的患者在 3 年内发展为 CKD。与最贫困人群相比,最贫困人群接受筛查的几率要高出54%(OR 1.54;95% CI 1.48至1.60),而最贫困人群罹患CKD的几率要高出146%(OR 2.46;95% CI 2.19至2.76)。与最贫困人群相比,ADI高的患者接受筛查的几率更高,而罹患CKD的几率几乎是最贫困人群的两倍。研究结果凸显了在大型医疗系统中系统收集健康记录数据以评估与健康结果相关的社会因素的重要性。
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Area deprivation index predicts annual chronic kidney disease screening and chronic kidney disease development among patients with newly diagnosed hypertension and type 2 diabetes in a large midwestern health system: a retrospective cohort study
We explore how area deprivation index (ADI), a national ranking of neighbourhood sociodemographic disadvantage is associated with chronic kidney disease (CKD) screening and development among patients with newly diagnosed hypertension (HTN) or type 2 diabetes (T2DM).Patients (n=235 208) with a new HTN or T2DM diagnosis between 2015 and 2018 in a large healthcare system were followed for 3 years to evaluate CKD screening (one estimated glomerular filtration rate and urinary albumin-to-creatine ratio) and CKD development. Multivariable logistic regression models evaluated associations between ADI quintiles with CKD screening and diagnosis.Most patients were white (57%) females (55%) with HTN (65%). Few were screened in the first year after diagnosis (17%) and 9% developed CKD within 3 years. The odds of patients being screened were 54% greater (OR 1.54; 95% CI 1.48 to 1.60) and 146% greater (OR 2.46; 95% CI 2.19 to 2.76) for developing CKD for most deprived compared with the least deprived.Patients with high ADI were more likely to be screened and almost twice as likely to develop CKD compared with the least deprived. Results highlight the importance of systematic health record data collection in large healthcare systems to evaluate social factors with health outcomes.
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