Key result
A binary logistic regression model predicting comorbid GERD and obesity in overweight individuals demonstrated high accuracy with an AUC of 0.91, 97.14% sensitivity, and 60% specificity.
Observational
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The article reliably recorded high chances of comorbid GERD with obesity with increased blood leptin content (OR = 3.51; 95.0% CI 1.62–612.5; p = 0.023), increased diameter of the esophageal opening of the diaphragm (OR = 1.94; 95.0% CI 1.11–3.41; p = 0.021), high BMI values (OR = 0.4; 95.0% CI 1.05–1.81; p = 0.018), increased total GERD-HRQL impact score (OR = 1.12; 95.0% CI 1–1.24; p = 0.044) and reduced chances with low blood NO₂ values (OR = 1.38; 95.0% CI 0.19–0.85; p = 0.021). A mathematical model of binary logistic regression for predicting the development of comorbid GERD and obesity was constructed. High qualification qualities of the developed model were determined: AUC = 0.91, at which the developed model has 97.14% sensitivity and 60% specificity.
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A newly developed prognostic model demonstrates high accuracy (AUC 0.91) in predicting the occurrence of GERD in overweight individuals.
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Oparin et al. (2025) conducted an observational in GERD in overweight people. Clinical and biochemical risk factors (leptin, BMI, esophageal opening diameter, NO2) was evaluated on Development of comorbid GERD and obesity. A binary logistic regression model predicting comorbid GERD and obesity in overweight individuals demonstrated high accuracy with an AUC of 0.91, 97.14% sensitivity, and 60% specificity.
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