Conicity index helps predict kidney stone disease in patients with obesity: Study
A recent study has showed the link between abdominal obesity and kidney stone disease (KSD) by highlighting the significance of the conicity index to predict both KSD and all-cause mortality. The findings of this study was published in the recent issue of Nature Scientific Reports.
The conicity index is derived from waist circumference, height, and weight, making it a more focused indicator of central obesity when compared to traditional metrics like Body Mass Index (BMI). Despite its potential, this index has been relatively under-researched. The study employed logistic regression and Cox proportional hazards models to uncover its predictive power, with results suggesting a robust association between a higher conicity index and elevated health risks.
This extensive research analyzed data from 59,842 participants of the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018. For every 0.1-unit increase in the conicity index, the odds of developing KSD rose by 23% (OR: 1.23, 95% CI: 1.14–1.35). The study also demonstrated that the conicity index offered a higher predictive ability for KSD when compared to conventional measures, with an area under the curve (AUC) of 0.619. This emphasizes the utility of index as a more reliable tool for identifying individuals at risk.
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