Building a prognostic outcome model for severe pyelonephritis
Introduction. Severe acute pyelonephritis (SAP) is frequently complicated by systemic infection and carries a considerable risk of in-hospital death. Robust prognostic markers and early risk stratification tools are urgently needed.
Objective. To identify factors associated with in-hospital mortality in SAP, estimate survival using Kaplan–Meier analysis, and develop an out-come-prediction model based on neural-network logistic analysis.
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