Predictive value of phase angle in sarcopenia in patients on maintenance hemodialysis
| Autor: | Shaoling Wang, Yan Ding, Liyang Chang, Hongmei Zhang |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
medicine.medical_specialty
education.field_of_study Nutrition and Dietetics Receiver operating characteristic business.industry Endocrinology Diabetes and Metabolism medicine.medical_treatment Population Area under the curve Odds ratio musculoskeletal system medicine.disease Logistic regression Confidence interval body regions Internal medicine Sarcopenia medicine business education human activities Dialysis |
| Zdroj: | Nutrition. 94:111527 |
| ISSN: | 0899-9007 |
| DOI: | 10.1016/j.nut.2021.111527 |
| Popis: | Objectives This study aimed to analyze the factors influencing sarcopenia in patients on maintenance hemodialysis (MHD) in Mainland China and explore the role of phase angle (PhA) in sarcopenia. Methods & Procedures We enrolled 346 patients on MHD with regular dialysis and collected relevant data. According to the diagnostic criteria of Asian sarcopenia working group, the patients were divided into sarcopenia and nonsarcopenia groups. The differences between groups were compared and the statistically significant factors were included in binary logistic regression analysis to screen for independent factors influencing sarcopenia. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the predictive value of PhA in sarcopenia. Results The prevalence of sarcopenia was 32.66% in patients on MHD. Logistic regression analysis showed that sarcopenia was significantly associated with age (odds ratio [OR] = 1.12; 95% confidence interval [95%CI]: 1.08–1.15; P Conclusion Our study showed that PhA was an important influencing factor of sarcopenia adjusted by age and BMI in Asian patients on MHD. PhA may have an optimistic predictive value to identify sarcopenia in these population, and it is convenient and accessible in clinical practice than the diagnostic criteria of sarcopenia. |
| Databáze: | OpenAIRE |
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