Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine.
Shiying HaoTianyun FuQian WuBo JinChunqing ZhuZhongkai HuYanting GuoYan ZhangYunxian YuTerry FoutsPhillip NgDevore S CulverShaun T AlfredsFrank StearnsKarl G SylvesterEric WidenDoff B McElhinneyXuefeng Bruce LingPublished in: JMIR medical informatics (2017)
We developed and validated a model that is able to identify patients at high risk of having CKD in the next 1 year by statistically learning from the EMR-based clinical history in the preceding 1 year. Identification of these patients indicates care opportunities such as monitoring and adopting intervention plans that may benefit the quality of care and outcomes in the long term.
Keyphrases
- chronic kidney disease
- end stage renal disease
- healthcare
- quality improvement
- palliative care
- peritoneal dialysis
- ejection fraction
- randomized controlled trial
- newly diagnosed
- cardiovascular disease
- pain management
- insulin resistance
- patient reported outcomes
- health insurance
- adipose tissue
- patient reported
- chronic pain
- glycemic control