Spanjer Moon J, Bultink Irene E M, de van der Schueren Marian A E, Voskuyl Alexandre E
Department of Rheumatology, Amsterdam Rheumatology and immunology Center.
Department of Nutrition and Dietetics, VU University Medical Center, Amsterdam, The Netherlands.
Rheumatology (Oxford). 2017 Jun 1;56(6):1008-1012. doi: 10.1093/rheumatology/kex014.
The aims were to assess the prevalence of malnutrition and to validate bioelectrical impedance analysis (BIA) against whole-body DXA for the assessment of body composition in patients with SSc.
Malnutrition was defined as BMI <18.5 kg/m 2 or unintentional weight loss >10% in combination with a fat-free mass index (FFMI) <15 kg/m 2 for women or <17 kg/m 2 for men or BMI <20.0 kg/m 2 (age <70 years) or <22 kg/m 2 (age >70 years). Body composition was assessed in 72 patients with whole-body DXA (Hologic, Discovery A) and BIA (Bodystat Quadscan 400). The manufacturer's equation and the Geneva equation were used to estimate FFM and fat mass. The agreement between BIA and whole-body DXA was assessed with Bland-Altman analysis and intraclass correlation coefficient.
Malnutrition was found in 8.3% (n = 6) and low FFMI in 20.8% (n = 15) of patients. The mean difference in FFM between BIA and DXA applying the Geneva equation was 0.02 ( s . d . 2.4) kg, intraclass correlation coefficient 0.97 (95% CI: 0.95, 0.98). Limits of agreement were ±4.6 kg. The manufacturer's equation was less adequate to predict FFM.
This study shows a relatively low prevalence of malnutrition in comparison with other studies, but a high prevalence of low FFMI, underlining the necessity of measuring body composition in SSc patients with a standardized and validated method. A good validity of BIA in determining FFM was found at a group level, while at an individual level the FFM may vary by 4.6 kg.
旨在评估营养不良的患病率,并验证生物电阻抗分析(BIA)与全身双能X线吸收法(DXA)在评估系统性硬化症(SSc)患者身体成分方面的效果。
营养不良定义为体重指数(BMI)<18.5kg/m²,或非故意体重减轻>10%,同时女性无脂肪质量指数(FFMI)<15kg/m²或男性<17kg/m²,或BMI<20.0kg/m²(年龄<70岁)或<22kg/m²(年龄>70岁)。对72例患者进行了全身DXA(Hologic,Discovery A)和BIA(Bodystat Quadscan 400)身体成分评估。使用制造商公式和日内瓦公式估算无脂肪质量(FFM)和脂肪量。采用Bland-Altman分析和组内相关系数评估BIA与全身DXA之间的一致性。
8.3%(n = 6)的患者存在营养不良,20.8%(n = 15)的患者FFMI较低。应用日内瓦公式时,BIA与DXA在FFM方面的平均差异为0.02(标准差2.4)kg,组内相关系数为0.97(95%CI:从0.95至0.98)。一致性界限为±4.6kg。制造商公式在预测FFM方面不太合适。
本研究表明,与其他研究相比,营养不良的患病率相对较低,但FFMI较低的患病率较高,这凸显了采用标准化和经过验证的方法测量SSc患者身体成分的必要性。在群体水平上发现BIA在确定FFM方面具有良好的有效性,而在个体水平上,FFM可能相差4.6kg。