Department of Biology, College of Science, University of Bahrain, Sakhir Campus, Zallaq P.O. Box 32038, Kingdom of Bahrain.
Department of Biology, College of Science, University of Bahrain, Sakhir Campus, Zallaq P.O. Box 32038, Kingdom of Bahrain.
Exp Gerontol. 2020 Jul 15;136:110944. doi: 10.1016/j.exger.2020.110944. Epub 2020 Apr 11.
The association between multiple risk factors and the mortality of sarcopenic patients has not been studied. This study's aim is to report the prevalence of sarcopenia among a sample of Italian hospitalized older adults, describe the physical function, body fat composition, cognitive, inflammatory and nutritional status of sarcopenic compared with non-sarcopenic subjects, and determine the risk factors associated with mortality in sarcopenic patients.
A total of 462 patients were enrolled and followed up for a period of 5 years. Sarcopenia was diagnosed according to the EWGSOP2 criteria. Factors associated with sarcopenia were identified with linear regression analysis. Logistic regression was applied to explore the association between the risk factors and mortality in sarcopenic subjects. Survival analyses and predictors of mortality were identified using Kaplan-Meier and Cox regression.
The prevalence of sarcopenia was 33.5%. Linear regression showed that sarcopenia was associated with Barthel index (B -9.63, p0.004), BMI (B -3.19, p<0.001) and android fat (B 1.85, p0.004). Of these factors, only the number of co-morbidities (OR 1.394 C95% 1.023-1.862 p 0.025) and MMSE scores (OR 0.857 C95% 0.79-0.930 p <0.001) were associated with mortality in sarcopenia. Kaplan-Meier and the log-rank tests showed the negative prognostic effect of low BMI (p0.007), albumin (p<0.001) and Barthel index (p 0.018). The Cox regression showed that mortality hazard is reduced with BMI >24.9 (HR 0.287 C95% 0.095-0.866 p 0.027).
Sarcopenia is associated with low physical function and BMI but higher android fat. Low Barthel, BMI and albumin can significantly decrease the survival rate in sarcopenic patients. Whereas BMI >24.9 is associated with lower mortality hazard.
多种危险因素与肌少症患者的死亡率之间的关系尚未得到研究。本研究的目的是报告意大利住院老年患者样本中肌少症的患病率，描述与非肌少症患者相比，肌少症患者的身体功能、体脂肪组成、认知、炎症和营养状况，并确定与肌少症患者死亡率相关的危险因素。
共纳入 462 例患者，并进行了 5 年的随访。根据 EWGSOP2 标准诊断肌少症。采用线性回归分析确定与肌少症相关的因素。应用逻辑回归探讨肌少症患者的危险因素与死亡率之间的关系。采用 Kaplan-Meier 和 Cox 回归分析确定生存分析和死亡率预测因素。
肌少症的患病率为 33.5%。线性回归显示，肌少症与巴氏指数（B-9.63，p0.004）、BMI（B-3.19，p<0.001）和腹型脂肪（B 1.85，p0.004）有关。在这些因素中，只有合并症数量（OR 1.394 C95% 1.023-1.862 p 0.025）和 MMSE 评分（OR 0.857 C95% 0.79-0.930 p <0.001）与肌少症患者的死亡率相关。Kaplan-Meier 和对数秩检验显示低 BMI（p0.007）、白蛋白（p<0.001）和巴氏指数（p 0.018）对预后有负面影响。Cox 回归显示，BMI>24.9 时，死亡率危险度降低（HR 0.287 C95% 0.095-0.866 p 0.027）。
肌少症与低身体功能和 BMI 有关，但与腹型脂肪较高有关。低巴氏、BMI 和白蛋白可显著降低肌少症患者的生存率。而 BMI>24.9 与较低的死亡率危险度相关。
