Construction and verification of a model for predicting fall risk in patients with maintenance hemodialysis†
Artikel-Kategorie: Original article
Online veröffentlicht: 16. Dez. 2024
Seitenbereich: 387 - 394
Eingereicht: 09. Okt. 2023
Akzeptiert: 04. Aug. 2024
DOI: https://doi.org/10.2478/fon-2024-0043
Schlüsselwörter
© 2024 Yue Liu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Objective
To construct a risk prediction model for fall in patients with maintenance hemodialysis (MHD) and to verify the prediction effect of the model.
Methods
From June 2020 to December 2020, 307 patients who underwent MHD in a tertiary hospital in Chengdu were divided into a fall group (32 cases) and a non-fall group (275 cases). Logistic regression analysis model was used to establish the influencing factors of the subjects. Hosmer–Lemeshow and receiver operating characteristic (ROC) curve were used to test the goodness of fit and predictive effect of the model, and 104 patients were again included in the application research of the model.
Results
The risk factors for fall were history of falls in the past year (OR = 3.951), dialysis-related hypotension (OR = 6.949), time up and go (TUG) test (OR = 4.630), serum albumin (OR = 0.661), frailty (OR = 7.770), and fasting blood glucose (OR = 1.141). Hosmer–Lemeshow test was
Conclusions
The risk prediction model constructed in this study has a good effect and can provide references for clinical screening of fall risks in patients with MHD.