Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio.

• Tác giả: Xiaoyan Liang, Yanmei Lu, Huasheng Lv, Shuai Shang, Baopeng Tang, Meng Wei
• Ngôn ngữ: eng
• Ký hiệu phân loại: 200.71 Education
• Thông tin xuất bản: England : Heliyon , 2025
• Bộ sưu tập: NCBI
• ID: 472140

Tóm tắt

 The study analyzed 544 infants (1-36 months) with heart failure, aiming to correlate WBC/TP ratio with mortality and create a predictive model. Lasso regression identified significant mortality-associated clinical indices
  logistic regression then built a death prediction model with an AUC of 0.755. Calibration and DCA curves indicated model accuracy and clinical utility. Risk stratification revealed higher mortality in the high-risk group, emphasizing WBC/TP as predictors and the model's value for early high-risk patient identification in infant heart failure.