Risk factors analysis and nomogram prediction of sarcopenia in elderly inpatients
10.3760/cma.j.cn211501-20191210-03663
- VernacularTitle:老年住院患者肌肉减少症发生的危险因素分析及预测模型建立
- Author:
Ying ZHANG
1
;
Xiaolei XU
;
Yuanjun WANG
;
Rong LI
;
Faman YANG
Author Information
1. 青海大学附属医院全科医学科，西宁 810001
- From:
Chinese Journal of Practical Nursing
2020;36(30):2337-2342
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish an individualized nomogram model to predict the risk of sarcopenia by analyzing the related factors of myopenia in elderly inpatients.Methods:Inpatients in the department of Affiliated Hospital of Qinghai University from January 2017 to December 2018, aged ≥ 60 years old, were included by the diagnostic criteria of Asian sarcopenia working group, and the independent risk factors were screened by logistic regression for the occurrence of sarcopenia. According to the independent risk factors, a nomogram model was established to predict the risk of sarcopenia. Bootstrap method was used to verify the model. C-index and calibration curve were used to evaluate the differentiation and calibration of the prediction model.Results:Totally 83 of 268 elderly patients had sarcopenia, the incidence was 30.9%. Age ( OR = 1.726, 95% CI 1.244-2.432), body mass index ( OR = 0.753, 95% CI 0.621-0.969), current smoking ( OR = 1.081, 95% CI 1.048-3.297), osteoporosis ( OR = 2.031, 95% CI 1.201-4.193) were all independent risk factors of myopenia in elderly patients. The concordance index for predicting the risk of myopenia was 0.775 (95% CI 0.722-0.827). Conclusion:Age, body mass index, osteoporosis, smoking are the independent risk factors of myopenia in elderly patients. The nomogram model can more directly evaluate the risk of sarcopenia in elderly patients.
