Seijger Charlotte G W, Drost Gea, Posma Joram M, van Engelen Baziel G M, Heijdra Yvonne F
Department of Pulmonary diseases, Radboud University Medical Center, Nijmegen, the Netherlands.
Department of Neurology, Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
PLoS One. 2016 Mar 25;11(3):e0152344. doi: 10.1371/journal.pone.0152344. eCollection 2016.
In this large observational study population of 105 myotonic dystrophy type 1 (DM1) patients, we investigate whether bodyweight is a contributor of total lung capacity (TLC) independent of the impaired inspiratory muscle strength.
Body composition was assessed using the combination of body mass index (BMI) and fat-free mass index. Pulmonary function tests and respiratory muscle strength measurements were performed on the same day. Patients were stratified into normal (BMI < 25 kg/m(2)) and overweight (BMI ≥ 25 kg/m(2)) groups. Multiple linear regression was used to find significant contributors for TLC.
Overweight was present in 59% of patients, and body composition was abnormal in almost all patients. In overweight patients, TLC was significantly (p = 2.40×10(-3)) decreased, compared with normal-weight patients, while inspiratory muscle strength was similar in both groups. The decrease in TLC in overweight patients was mainly due to a decrease in expiratory reserve volume (ERV) further illustrated by a highly significant (p = 1.33×10(-10)) correlation between BMI and ERV. Multiple linear regression showed that TLC can be predicted using only BMI and the forced inspiratory volume in 1 second, as these were the only significant contributors.
This study shows that, in DM1 patients, overweight further reduces lung volumes, as does impaired inspiratory muscle strength. Additionally, body composition is abnormal in almost all DM1 patients.
在这项针对105例1型强直性肌营养不良(DM1)患者的大型观察性研究中,我们调查体重是否是总肺容量(TLC)的一个影响因素,且独立于吸气肌无力。
使用体重指数(BMI)和去脂体重指数相结合的方法评估身体成分。在同一天进行肺功能测试和呼吸肌力量测量。患者被分为正常组(BMI < 25 kg/m²)和超重组(BMI ≥ 25 kg/m²)。采用多元线性回归分析来确定TLC的显著影响因素。
59%的患者超重,几乎所有患者的身体成分均异常。与体重正常的患者相比,超重患者的TLC显著降低(p = 2.40×10⁻³),而两组的吸气肌力量相似。超重患者TLC的降低主要归因于呼气储备量(ERV)的减少,BMI与ERV之间高度显著的相关性(p = 1.33×10⁻¹⁰)进一步说明了这一点。多元线性回归分析表明,仅使用BMI和第1秒用力吸气量就能预测TLC,因为这两者是唯一的显著影响因素。
本研究表明,在DM1患者中,超重会进一步降低肺容量,吸气肌无力也会如此。此外,几乎所有DM1患者的身体成分均异常。