ArticleFrontiers in oncology2026
Construction and validation of a nomogram model for predicting 60-day mortality in patients with acute myeloid leukaemia.
Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To construct and internally validate a nomogram for predicting 60-day all-cause mortality in adult patients with Methods: Clinical data from 140 patients with newly diagnosed Results: Twenty-nine patients (20.7%) died within 60 days. The final multivariate Cox model identified extramedullary disease (EMD) (hazard ratio [HR]=8.24, 95% confidence interval [CI]:1.91-35.63, P = 0.005), fibrinogen (per 100 mg/dL: HR = 1.12, 95%CI:1.04-1.21, P = 0.002), ferritin (per 200 ng/mL: HR = 1.09, 95%CI:1.02-1.17, P = 0.012) and number of positive prognostic genes (HR = 0.59, 95%CI:0.41-0.86, P = 0.006) as independent predictors. Bootstrap-corrected AUC/C-index values were 0.88/0.79 in the training cohort and 0.84/0.76 in the validation cohort; stratified 10-fold cross-validation yielded an average AUC of 0.87. The nomogram outperformed ELN 2022 risk stratification alone (AUC: 0.95 vs 0.74, P<0.001); SHAP analysis ranked EMD as the dominant feature. Conclusion: This four-variable Cox nomogram showed favourable internally validated discrimination, calibration, clinical net benefit and interpretability for individualised 60-day mortality prediction in adult
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