A Simple Variable-Based Nomogram for Urolithiasis Point-of-Care Screening in Laos

This dataset contains the data used to develop and validate a point-of-care nomogram for urolithiasis risk stratification in Laos' primary care settings. The study enrolled 420 participants from a tertiary hospital in Laos (March–October 2024). The dataset includes sociodemographic, lifestyle, and clinical data collected via standardized questionnaires and laboratory analyses. The nomogram was developed using LASSO regression and multivariable logistic regression, with performance validated via discrimination (AUC), calibration (Brier score), and clinical utility (decision curve analysis). The dataset aims to support decentralized risk stratification in resource-limited settings.