Risk factors analysis and nomogram prediction of sarcopenia in elderly inpatients / 中国实用护理杂志

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.