Data Sheet 1_A clinical prediction nomogram for hemorrhoid risk in health screening populations in Beijing, China: a retrospective cohort study of 35,256 adults.docx

Multivariable analysis identified five independent predictors: female sex (HR = 1.41, 95% CI: 1.28–1.55), older age (HR = 1.02, 95% CI: 1.02–1.03 per year), lower hemoglobin (HR = 0.99, 95% CI: 0.99–1.00 per g/L), higher triglycerides (HR = 1.05, 95% CI: 1.02–1.08 per mmol/L), and higher uric acid (HR = 1.001, 95% CI: 1.001–1.002 per μmol/L). The nomogram demonstrated acceptable discrimination (C-index: 0.772, 95% CI: 0.764–0.780), though it systematically underestimated observed risk across the predicted-probability range (∼0%–37%); decision curve analysis showed positive net benefit for threshold probabilities between approximately 5%–40%.</p>Conclusions<p>This study identified five independent predictors of hemorrhoid incidence—sex, age, hemoglobin, triglycerides, and uric acid—and used them to develop one of the first nomograms integrating routine laboratory biomarkers for hemorrhoid risk prediction in health-screening populations.

Using exclusively accessible, low-cost parameters, the model enables individualized risk stratification at routine health screening, facilitating targeted prevention strategies for high-risk individuals.</p>