AUTHOR=Ma Xiaoming , Huang Wendie , Lu Lijuan , Li Hanqing , Ding Jiahao , Sheng Shiying , Liu Meng , Yuan Jie 

TITLE=Developing and validating a nomogram for cognitive impairment in the older people based on the NHANES

JOURNAL=Frontiers in Neuroscience

VOLUME=17

YEAR=2023

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1195570

DOI=10.3389/fnins.2023.1195570

ISSN=1662-453X

ABSTRACT=<sec id="sec1"><title>Objective</title><p>To use the United States National Health and Nutrition Examination Study (NHANES) to develop and validate a risk-prediction nomogram for cognitive impairment in people aged over 60 years.</p></sec><sec id="sec2"><title>Methods</title><p>A total of 2,802 participants (aged ≥ 60 years) from NHANES were analyzed. The least absolute shrinkage and selection operator (LASSO) regression model and multivariable logistic regression analysis were used for variable selection and model development. ROC-AUC, calibration curve, and decision curve analysis (DCA) were used to evaluate the nomogram’s performance.</p></sec><sec id="sec3"><title>Results</title><p>The nomogram included five predictors, namely sex, moderate activity, taste problem, age, and education. It demonstrated satisfying discrimination with a AUC of 0.744 (95% confidence interval, 0.696–0.791). The nomogram was well-calibrated according to the calibration curve. The DCA demonstrated that the nomogram was clinically useful.</p></sec><sec id="sec4"><title>Conclusion</title><p>The risk-prediction nomogram for cognitive impairment in people aged over 60 years was effective. All predictors included in this nomogram can be easily accessed from its’ user.</p></sec>