人体测量指标是患者营养状况的简单指标。然而,这些指标与稳定期慢性阻塞性肺疾病(COPD)患者骨骼肌萎缩之间的关系尚未得到充分研究.在这项研究中,我们评估了这个协会。
从2020年到2021年,我们从中国一家综合医院招募了123名稳定的COPD门诊患者。我们记录了他们的人口统计特征,包括年龄,性别,病程,呼吸困难评分,体重指数(BMI),1秒用力呼气容积(FEV1),强迫肺活量(FVC),吸烟状况,和严重程度分级。此外,患者人体测量指数,包括无脂质量指数(FFMI)和阑尾骨骼肌质量指数(ASMI),使用身体成分分析仪测量,并测量了肱三头肌皮褶(TSF),中臂周长(MAC),和小腿周长(CC)。我们绘制并分析了受试者工作特征(ROC)曲线,以确定评估骨骼肌萎缩的最佳截点值。
TSF,MAC,CC,FFMI,COPD患者ASMI为1.08±0.44cm,26.39±2.92厘米,34.5±3.06cm,分别为17.49±1.86kg/m2和8.17±0.90kg/m2。这些人体测量指标与骨骼肌质量呈显著正相关(相关值,0.481-0.820)。CC与FFMI和ASMI均密切相关。ROC曲线显示曲线下面积(AUC)值为0.873-0.959。
人体测量指标与骨骼肌质量相关。CC在COPD患者中显示出最佳诊断价值,提示其作为评估骨骼肌萎缩和识别肌肉质量明显减少的患者的简单方法的有效性。这样的病人需要早期,多学科干预。
Anthropometric indices are simple indicators of patient nutritional status. However, the association between these indices and skeletal-muscle atrophy in patients with stable chronic obstructive pulmonary disease (COPD) has not been fully investigated. In this study, we evaluated this association.
We recruited 123 outpatients with stable COPD from a general hospital in
China from 2020 to 2021. We recorded their demographic characteristics, including age, sex, course of illness, dyspnea score, body mass index (BMI), force expiratory volume in 1 second (FEV1), forced vital capacity (FVC), smoking status, and severity grading. In addition, patients\' anthropometric indices, including fat-free mass index (FFMI) and appendicular skeletal-muscle mass index (ASMI), were measured using a body composition analyzer, and measurements were taken of the triceps skinfold (TSF), midarm circumference (MAC), and calf circumference (CC). We drew and analyzed a receiver operating characteristic (ROC) curve to identify the best intercept point value for the assessment of skeletal-muscle atrophy.
The TSF, MAC, CC, FFMI, and ASMI of COPD patients were 1.08 ± 0.44 cm, 26.39 ± 2.92 cm, 34.5 ± 3.06 cm, 17.49 ± 1.86 kg/m2, and 8.17 ± 0.90 kg/m2, respectively. These anthropometric indices had a significant positive correlation with skeletal-muscle mass (correlation values, 0.481-0.820). CC was strongly correlated with both FFMI and ASMI. The ROC curve showed an area-under-the-curve (AUC) value of 0.873-0.959.
Anthropometric indices were correlated with skeletal-muscle mass. CC showed the best diagnostic value in COPD patients, suggesting its effectiveness as a simple method for assessing skeletal-muscle atrophy and identifying patients with a noticeable reduction in muscle mass. Such patients require early, multidisciplinary intervention.