【ChiCTR2100046077】USING MACHINE LEARNING TO PREDICT KIDNEY INJURY AFTER LOWER LIMB ANGIOPLASTY
ChiCTR2100046077
结束
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2021-05-04
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Contrast Associated Acute Kidney Injury
USING MACHINE LEARNING TO PREDICT KIDNEY INJURY AFTER LOWER LIMB ANGIOPLASTY
MACHINE LEARNING PREDICTS CONTRAST INDUCED ACUTE KIDNEY INJURY IN ELECTIVE LOWER LIMB PERCUTANEOUS TRANSLUMINAL ANGIOPLASTY: A RETROSPECTIVE COHORT
169608
Examine risk factors for contrast associated acute kidney injury after elective lower limb percutaneous transluminal angioplasty. Develop machine learning models for risk prediction.
连续入组
回顾性研究
Not applicable as this is a retrospective cohort.
Not applicable as this is a retrospective cohort.
No funding
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610
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2020-07-01
2021-07-01
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- All cases of lower limb PTA as a single procedure identified via surgical codes; - Performed at Singapore General Hospital; - Recruitment period from 2014 to 2020.；
请登录查看- Patients <21 years old; - Patients with a preoperative estimated Glomerular Filtration Rate (eGFR) of <15mL/min/1.73 m2 as defined by the Modification of Diet in Renal Disease (MDRD); - Patients with no valid preoperative or postoperative SCr.；
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169608
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