A nomogram prediction model for mild cognitive impairment in non-dialysis outpatient patients with chronic kidney disease.
Ren Fail
; 46(1): 2317450, 2024 Dec.
Article
en En
| MEDLINE
| ID: mdl-38419596
ABSTRACT
BACKGROUND:
The high prevalence of mild cognitive impairment (MCI) in non-dialysis individuals with chronic kidney disease (CKD) impacts their prognosis and quality of life.OBJECTIVE:
This study aims to investigate the variables associated with MCI in non-dialysis outpatient patients with CKD and to construct and verify a nomogram prediction model.METHODS:
416 participants selected from two hospitals in Chengdu, between January 2023 and June 2023. They were categorized into two groups the MCI group (n = 210) and the non-MCI (n = 206). Univariate and multivariate binary logistic regression analyses were employed to identify independent influences (candidate predictor variables). Subsequently, regression models was constructed, and a nomogram was drawn. The restricted cubic spline diagram was drawn to further analyze the relationship between the continuous numerical variables and MCI. Internally validated using a bootstrap resampling procedure.RESULTS:
Among 416 patients, 210 (50.9%) had MCI. Logistic regression analysis revealed that age, educational level, occupational status, use of smartphones, sleep disorder, and hemoglobin were independent influencing factors of MCI (all p<.05). The model's area under the curve was 0.926,95% CI (0.902, 0.951), which was a good discriminatory measure; the Calibration curve, the Hosmer-Lemeshow test, and the Clinical Decision Curve suggested that the model had good calibration and clinical benefit. Internal validation results showed the consistency index was 0.926, 95%CI (0.925, 0.927).CONCLUSION:
The nomogram prediction model demonstrates good performance and can be used for early screening and prediction of MCI in non-dialysis patients with CKD. It provides valuable reference for medical staff to formulate corresponding intervention strategies.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Insuficiencia Renal Crónica
/
Disfunción Cognitiva
Límite:
Humans
Idioma:
En
Año:
2024
Tipo del documento:
Article