Author

Xiaoxia Duan

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Open access Aug 2026

Integrating Clinical Information and Electrocardiographic Signal Features to Develop a Prediction Model for Postoperative Delirium in Older Patients: A Prospective Observational Study

Purpose Postoperative delirium (POD) is a frequent and serious complication in older surgical patients. While conventional prediction models rely heavily on subjective clinical indicators, this study aimed to develop a simple, non-invasive preoperative risk prediction model by integrating objective physiological signal...

Cheng Wu, Hanwen Fan, Liangjun Lei et al. · International Journal of Gen... · 0 citations

Jul 2026

Multimodal Machine Learning Model Predicting Postoperative Delirium Based on Heart Rate Variability: A Prospective Observational Study.

The results indicate that integrating heart rate variability with clinical and electrocardiogram features significantly enhances the personalized predictive efficacy of postoperative delirium.

Yu-Ling Tang, Yuan-Hui Liu, Jia-Yi Tang et al. · Anesthesia and Analgesia · 0 citations

Open access Jul 2026

Construction and validation of a tracheostomy prediction model in mechanically ventilated stroke patients and the impact of early versus late tracheostomy on clinical outcomes: an IPTW-based analysis

Background This study aimed to develop and validate a predictive model for tracheostomy in mechanically ventilated stroke patients and to investigate the impact of early and late tracheostomy on in-hospital outcomes. Methods A total of 508 mechanically ventilated stroke patients who were admitted to a tertiary hospital...

Miaoxinhui Shao, Wenjie Pan, Yanxin Liu et al. · Frontiers in Neurology · 0 citations