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NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/_/31960842
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This study developed and validated a risk prediction model and a personalized advantage index (PAI) model for postoperative sleep disturbance (PSD) in cardiac surgery patients, and established a model-driven personalized intervention protocol. A prospective study (Nov 2023–May 2024) used logistic regression to identify PSD risk factors. Separate models for non-thoracotomy and thoracotomy patients were evaluated by AUC, sensitivity, and specificity. The PAI model was built using random forest and L1-regularized regression, assessed with multiple metrics. A subsequent stratified RCT (70 patients, Nov 2024–Jan 2025) compared intervention and control groups, with PSD incidence, PSQI scores, and adverse reactions as outcomes.
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2026-04-08
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