
Lactate and Kidney Injury After CPB: Biomarker and Experimental Target
A study combines clinical prediction models with experimental evidence linking lactate metabolism and kidney injury after CPB. Clinical treatment benefit remains unproven.
Explore articles, research, and perspectives from the International Perfusion Association.

A study combines clinical prediction models with experimental evidence linking lactate metabolism and kidney injury after CPB. Clinical treatment benefit remains unproven.

Artificial intelligence (AI) is transforming adult cardiovascular medicine and surgery by enhancing diagnostics, surgical planning, intraoperative precision, and postoperative monitoring. Tools such as AI-ECG,

This study evaluates a machine learning (ML) model using electronic health record (EHR) data to predict acute kidney injury (AKI) after cardiac surgery. In

This study investigates the effects of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develops machine learning models to predict

This study developed machine learning (ML) models to predict in-hospital mortality among ICU patients with acute heart failure (AHF) using data from the MIMIC-IV

The study examines hospital readmissions in patients with centrifugal-flow left ventricular assist devices (CF-LVADs), highlighting the commonality and impact on patient outcomes. Analyzing data

This study developed a predictive model for perioperative myocardial injury (PMI) using hybrid feature selection (FS) methods in patients undergoing noncoronary cardiac surgery with

This study developed and assessed machine learning models, particularly using XGBoost, to predict 90-day nonelective readmissions following extracorporeal membrane oxygenation (ECMO) hospitalizations. Analyzing data

A novel machine learning (ML) method has been developed to predict red blood cell (RBC) transfusion requirements in cardiothoracic surgery, enhancing blood inventory management

This study utilized machine learning algorithms to predict acute brain injury (ABI) in patients on venoarterial extracorporeal membrane oxygenation (VA-ECMO), analyzing data from the

In a study analyzing 37,473 VV-ECMO patients, machine learning was used to predict acute brain injury (ABI), revealing a 7.1% incidence of ABI and

A review of the top 25 cardiology and cardiovascular medicine journals according to the 2023 SCImago rankings revealed that all allow the use of
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