Clinical trials

The primary objectives of study is to compare the difference in the incidence of postoperative AKI between frail and non-frail patients. The secondary objectives of study was to compare the differences in intraoperative blood pressure fluctuations, the incidence and duration of intraoperative hypotension, postoperative extubation time, postoperative complications, length of hospital stay and hospitalization expenses between frail and non-frail patients, and use mediating effect analysis to examine the magnitude of the effect of intraoperative blood pressure on postoperative acute kidney injury caused by frailty.

Primary objectives of this study is to develop and validate a predictive model for acute kidney injury after non-cardiac surgery based on machine learning. Secondary objectives of this study is to incorporate frailty assessment as a new predictor into the model and measure its incremental value was measured.

Postoperative acute kidney injury (AKI) is a serious complication often linked to low blood pressure during surgery. This study aims to better protect patients' kidneys by personalizing how blood pressure is managed during an operation. The project has two main goals: First, researchers will analyze data from over 44,000 past surgeries to identify which specific blood pressure measurements are the most critical warning signs for kidney damage. Second, using this knowledge, they will build a smart tool (a machine learning model) to predict a unique, safe blood pressure target for each individual patient before their surgery begins. This personalized approach is intended to give doctors a specific target to maintain during surgery, helping to prevent kidney injury and improve patient safety.