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Prediction Models clinical trials

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NCT ID: NCT04977687 Completed - Acute Kidney Injury Clinical Trials

Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery

Start date: September 1, 2020
Phase:
Study type: Observational

Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication which may result in adverse impact on short- and long-term mortality. The researcher here developed several prediction models based on machine learning technique to allow early identification of patients who at the high risk of unfavorable kidney outcomes. The retrospective study comprised 2108 consecutive patients who underwent cardiac surgery from January 2017 to December 2020.

NCT ID: NCT03533205 Completed - Blood Pressure Clinical Trials

Prediction of Hemodynamic Instability in Patients Undergoing Surgery

Start date: April 1, 2015
Phase:
Study type: Observational

Intraoperative hypotension occurs often and is associated with adverse patient outcomes such as stroke, myocardial infarction and renal injury. The aim of this study was to test the accuracy of a physiology-based machine-learning algorithm using continuous non-invasive measurement of the blood pressure waveform with the Nexfin® finger cuff during surgery.