Novel risk model predicts postoperative infections in transplant recipients using lifestyle and psychological factors
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Dec-2025 23:11 ET (28-Dec-2025 04:11 GMT/UTC)
A multicenter study published in hLife has developed a novel risk prediction model for postoperative infections in kidney and liver transplant recipients. The research, involving 615 patients from six Chinese hospitals, identified previously overlooked predictors such as tea-drinking habits, psychological guilt scores, and dietary rhythms. The model achieved an area under the Receiver Operating Characteristic (ROC) curve of 0.78 in the training set, demonstrating strong predictive performance. These findings highlight the importance of integrating behavioral and psychological factors into clinical risk assessment, paving the way for more holistic post-transplant care strategies.
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