Li_2026_iScience_29_114483

Anemia is a common sepsis complication with poor long-term outcomes, and accurate risk stratification tools are critical for clinical management. We conducted a multicenter retrospective observational study to develop and validate a nomogram for anemia in Chinese Han sepsis patients, enrolling 723 eligible patients from two tertiary hospitals. Lasso regression for parameter screening and binary logistic regression identified age, gender, APACHE scores, albumin (Alb), procalcitonin (PCT), and cholinesterase (ChE) as independent predictors. Based on multifactorial results of the binary logistic regression analysis in the training cohort, a nomogram was established to predict the anemia risk in sepsis patients. The nomogram exhibited excellent discriminative performance (AUC: 0.911 [95% CI, 0.880-0.936] in the training set, 0.896 [95% CI, 0.843-0.936] internally, 0.876 [95% CI, 0.801-0.931] externally) and good calibration. These findings provide a highly accurate nomogram for anemia risk prediction in this population, offering a reliable tool for clinical decision-making.