Association between estimated glucose disposal rate and history of cataract surgery : A population-based cross-sectional study from NHANES
- 1Department of Ophthalmology, Xinhui District People’s Hospital, Jiangmen, China
- 2Department of Clinical Laboratory, Xinhui District People’s Hospital, Jiangmen, China.
Abstract
This study aimed to investigate the association between estimated glucose disposal rate (eGDR) and cataract surgery, and to evaluate the predictive performance of eGDR using machine learning approaches. Using a retrospective cross-sectional design, the present study analyzed data sourced from the 2001–2008 National Health and Nutrition Examination Survey, which encompassed a total of 41,658 participants. Propensity score matching was used to balance the following covariates: age, gender, race, and the poverty-to-income ratio. The analytical methods used in this study included logistic regression and restricted cubic splines to examine nonlinearity relationships. Additionally, eXtreme Gradient Boosting-SHapley Additive exPlanations (SHAP) modeling was used to evaluate the importance of the predictors. An inverse dose-dependent relationship was observed: for each unit increase in eGDR, the odds of undergoing cataract surgery decreased (odds ratio = 0.914, 95% confidence interval: 0.875–0.954, P < .001). The highest eGDR quartile showed the strongest protective effect (Q4 vs Q1: odds ratio = 0.69, P = .0087). Restricted cubic spline analysis revealed a threshold of eGDR = 5.693 mg/kg/minutes. Above this threshold, the cataract surgery rate decreased linearly. Stratified analyses revealed a significant protective effect in individuals aged ≥60 years (P = .001), and observed stronger inverse associations in high-income subgroups (P = .02). eXtreme Gradient Boosting-SHAP modeling identified eGDR as a pivotal predictor (mean SHAP = 0.008), surpassing the performance of the traditional clinical indices. Elevated eGDR levels are associated with a lower rate of cataract surgery, which is modulated by age and socioeconomic status.
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BibTeX
@article{liu2026association,
title = {{Association between estimated glucose disposal rate and history of cataract surgery : A population-based cross-sectional study from NHANES}},
author = {Guoan Liu and Yanman Zhong and Ruimei Qin and Jiaying Wang and Jinling Xie},
journal = {Medicine},
year = {2026},
month = oct,
doi = {10.1097/md.0000000000051292},
url = {https://europepmc.org/article/PMC/PMC13727194},
note = {CC BY},
}
RIS
TY - JOUR
TI - Association between estimated glucose disposal rate and history of cataract surgery : A population-based cross-sectional study from NHANES
AU - Guoan Liu
AU - Yanman Zhong
AU - Ruimei Qin
AU - Jiaying Wang
AU - Jinling Xie
PY - 2026
DA - 2026/10/30
JO - Medicine
DO - 10.1097/md.0000000000051292
UR - https://europepmc.org/article/PMC/PMC13727194
AB - This study aimed to investigate the association between estimated glucose disposal rate (eGDR) and cataract surgery, and to evaluate the predictive performance of eGDR using machine learning approaches. Using a retrospective cross-sectional design, the present study analyzed data sourced from the 2001–2008 National Health and Nutrition Examination Survey, which encompassed a total of 41,658 participants. Propensity score matching was used to balance the following covariates: age, gender, race, and the poverty-to-income ratio. The analytical methods used in this study included logistic regression and restricted cubic splines to examine nonlinearity relationships. Additionally, eXtreme Gradient Boosting-SHapley Additive exPlanations (SHAP) modeling was used to evaluate the importance of the predictors. An inverse dose-dependent relationship was observed: for each unit increase in eGDR, the odds of undergoing cataract surgery decreased (odds ratio = 0.914, 95% confidence interval: 0.875–0.954, P < .001). The highest eGDR quartile showed the strongest protective effect (Q4 vs Q1: odds ratio = 0.69, P = .0087). Restricted cubic spline analysis revealed a threshold of eGDR = 5.693 mg/kg/minutes. Above this threshold, the cataract surgery rate decreased linearly. Stratified analyses revealed a significant protective effect in individuals aged ≥60 years (P = .001), and observed stronger inverse associations in high-income subgroups (P = .02). eXtreme Gradient Boosting-SHAP modeling identified eGDR as a pivotal predictor (mean SHAP = 0.008), surpassing the performance of the traditional clinical indices. Elevated eGDR levels are associated with a lower rate of cataract surgery, which is modulated by age and socioeconomic status.
SN - 0304-5412
SN - 1536-5964
SN - 0025-7974
ER -