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Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? A comparison study with laboratory data

机译:常规的医院发作数据是否足以识别患有慢性肾脏疾病的人?与实验室数据的比较研究

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Internationally, investment in the availability of routine health care data for improving health, health surveillance and health care is increasing. We assessed the validity of hospital episode data for identifying individuals with chronic kidney disease compared to biochemistry data in a large population-based cohort, the Grampian Laboratory Outcomes, Morbidity and Mortality Study-II (n = 70,435). Grampian Laboratory Outcomes, Morbidity and Mortality Study-II links hospital episode data to biochemistry data for all adults in a health region with impaired kidney function and random samples of individuals with normal and unmeasured kidney function in 2003. We compared identification of individuals with chronic kidney disease by hospital episode data (based on International Classification of Diseases-10 codes) to the reference standard of biochemistry data (at least two estimated glomerular filtration rates < 60 mL/min/1.73 m(2) at least 90 days apart). Hospital episode data, compared to biochemistry data, identified a lower prevalence of chronic kidney disease and had low sensitivity (< 10%) but high specificity (> 97%). Using routine health care data from multiple sources offers the best opportunity to identify individuals with chronic kidney disease.
机译:在国际上,为改善健康,健康监测和保健而对常规保健数据的可用性的投资正在增加。与以人群为基础的大型队列研究,格兰屏实验室结果,发病率和死亡率研究-II(n = 70,435)相比,我们比较了医院发作数据对识别慢性肾脏病患者与生物化学数据的有效性。格兰屏实验室结果,发病率和死亡率研究II将2003年肾脏功能受损的健康地区所有成年人的医院发作数据与生化数据相关联,并随机抽取了肾功能正常和未经测量的个体。我们比较了慢性肾脏病患者的识别通过医院发作数据(基于国际疾病分类10代码)到生化数据参考标准(至少两个相距至少90天的至少两个估计的肾小球滤过率<60 mL / min / 1.73 m(2))来确定疾病。与生化数据相比,医院发作数据确定了慢性肾脏疾病的患病率较低,并且敏感性较低(<10%),但特异性较高(> 97%)。使用来自多个来源的常规卫生保健数据提供了识别患有慢性肾脏疾病的个体的最佳机会。

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