Infective Endocarditis Mortality Risk Nomogram Model

A retrospective study of 383 patients with infective endocarditis developed a nomogram to predict 1-year mortality. The model, created by Zhaojun Yu, identified five independent prognostic factors and achieved a C-index of 0.879 in the training cohort.

Use Cases

• Validate the published nomogram's performance using the five identified factors: age, heart failure, embolic events, vegetation diameter >10 mm, and surgical treatment.
• Benchmark new predictive models against the reported C-index of 0.879 and validation AUC of 0.939.
• Analyze the hazard ratios for independent factors like surgical treatment (HR=0.158) to understand their impact on mortality risk.

Strengths

• Model performance is quantitatively reported with a C-index of 0.879 and validation AUC of 0.939.
• Analysis is based on clinical data from 383 confirmed IE patients.
• The study design includes a validation cohort of 115 patients for model testing.

Limitations

• The underlying patient-level data is not provided, only the model results in a 16.8 KB document.
• Sample size is limited to 383 patients from a single study, limiting generalizability.
• Geographic and institutional origin of the patient data is not specified.

Provenance

Source

Zhaojun Yu via figshare.

Collection Method

Retrospective analysis of clinical data from confirmed IE patients.

Freshness

Last updated March 2026.