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A nomogram for individualized prediction of mild cognitive impairment in patients with subjective cognitive decline during physical examinations: a cross-sectional study.
- Source :
- Frontiers in Aging Neuroscience; 2024, p1-12, 12p
- Publication Year :
- 2024
-
Abstract
- Background and objectives: To develop a nomogram for mild cognitive impairment (MCI) in patients with subjective cognitive decline (SCD) undergoing physical examinations in China. Methods: We enrolled 370 patients undergoing physical examinations at the Medical Center of the First Hospital of Jilin University, Jilin Province, China, from October 2022 to March 2023. Of the participants, 256 were placed in the SCD group, and 74 were placed in the MCI group. The population was randomly divided into a training set and a validation set at a 7:3 ratio. A least absolute shrinkage and selection operator (LASSO) regression model was applied to optimize feature selection for the model. Multivariable logistic regression analysis was applied to construct a predictive model. The performance and clinical utility of the nomogram were determined using Harrell's concordance index, calibration curves, and decision curve analysis (DCA). Results: Cognitive reserve (CR), age, and a family history of hypertension were associated with the occurrence of MCI. The predictive nomogram showed satisfactory performance, with a concordance index of 0.755 (95% CI: 0.681-0.830) in internal verification. The Hosmer-Lemeshow test results suggested that the model exhibited good fit (p = 0.824). In addition, DCA demonstrated that the predictive nomogram had a good clinical net benefit. Discussion: We developed a simple nomogram that could help secondary preventive health care workers to identify elderly individuals with SCD at high risk of MCI during physical examinations to enable early intervention. [ABSTRACT FROM AUTHOR]
- Subjects :
- PREDICTIVE tests
PHYSICAL diagnosis
CROSS-sectional method
MILD cognitive impairment
PREDICTION models
RESEARCH funding
QUALITATIVE research
T-test (Statistics)
RECEIVER operating characteristic curves
COGNITION disorders in old age
LOGISTIC regression analysis
HYPERTENSION
MULTIVARIATE analysis
AGE distribution
FAMILY history (Medicine)
CHI-squared test
QUANTITATIVE research
MANN Whitney U Test
DESCRIPTIVE statistics
ODDS ratio
NEUROPSYCHOLOGICAL tests
STATISTICS
CONFIDENCE intervals
DATA analysis software
REGRESSION analysis
COGNITIVE aging
SENSITIVITY & specificity (Statistics)
Subjects
Details
- Language :
- English
- ISSN :
- 16634365
- Database :
- Complementary Index
- Journal :
- Frontiers in Aging Neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 178493011
- Full Text :
- https://doi.org/10.3389/fnagi.2024.1443309