对骨骼肌指数在计算机断层扫描中用于肌肉质量减少评估的质疑:为什么要平方高度?

IF 7.4 2区 医学 Q1 NUTRITION & DIETETICS
Joris Giai , Mélanie Veloso , Antoine Vilotitch , Katia Charrière , Cécile Bétry
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引用次数: 0

摘要

背景,目的计算机断层扫描(CT)通常用于通过测量第三腰椎(L3)水平的骨骼肌面积(SMA)来评估肌肉质量减少。骨骼肌指数(SMI)是目前评估肌肉质量减少的参考标准,它通过身高的平方将SMA标准化。然而,最近的研究表明,重度精神障碍可能不是最可靠的指标,因为它与身高有关。本研究旨在评估不同sma衍生指标的临床相关性,以确定最准确的肌肉质量减少指标。方法回顾性分析某三级医院住院患者行腹部CT扫描。骨骼肌面积(SMA)采用基于人工智能的软件测量。研究人群根据年龄(≤40岁和≤40岁)和性别分为四组。评估四种SMA衍生指标:SMI,骨骼肌高度(SMH,以SMA除以高度计算),以及SMI和SMH的z分数(z(SMI)和z(SMH))。计算sma衍生指标与年龄、BMI和身高之间的Pearson相关性,并使用回归模型确定最佳身高缩放能力。结果共纳入674名参与者(男性362人,女性312人),平均年龄61岁,身体质量指数(BMI)为24.7 kg/m2。BMI与SMA、SMH、SMI呈正相关,与z(SMH)、z(SMI)无显著正相关。除40岁以上男性外,SMH与身高无显著相关。40岁以下参与者的线性回归显示,女性的身高标度系数为1.547 (95% CI:[0.736, 2.359]),男性为0.982 (95% CI:[0.047, 1.917])。结论smh比SMI更适合用于评估CT扫描中肌肉质量的减少,特别是由于其与高度的独立性更好。我们强调明确术语的重要性,并建议在未来的研究中采用“SMH”来区分SMA除以高度,以区别于SMI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Questioning skeletal muscle index for muscle mass reduction assessment in computed tomography: Why square the height?

Background & aims

Computes Tomography (CT) scans are commonly used to assess muscle mass reduction by measuring skeletal muscle area (SMA) at the third lumbar vertebra (L3) level. The skeletal muscle index (SMI), which normalizes SMA by height squared, is the current reference standard for evaluating muscle mass reduction. However, recent studies suggest that SMI may not be the most reliable indicator due to its height dependency. This study aimed to assess the clinical relevance of different SMA-derived metrics to determine the most accurate measure of muscle mass reduction.

Methods

This retrospective study included inpatients from a tertiary hospital who underwent abdominal CT scans. Skeletal muscle area (SMA) was measured using an AI-based software. The study population was divided into four groups based on age (≤40 years and >40 years) and gender. Four SMA-derived metrics were evaluated: SMI, skeletal muscle height (SMH, calculated as SMA divided by height), and Z-scores for both SMI and SMH (z(SMI) and z(SMH)). Pearson correlations between SMA-derived metrics and age, BMI, and height were calculated, alongside regression models to determine the optimal height scaling power.

Results

The study included 674 participants (362 males, 312 females), with a median age of 61 years and body mass index (BMI) of 24.7 kg/m2. BMI positively correlated with SMA, SMH, and SMI, but not with z(SMH) or z(SMI). SMH showed no significant correlation with height, except in males over 40. Linear regression for participants under 40 revealed height scaling coefficients of 1.547 (95 % CI: [0.736, 2.359]) for females and 0.982 (95 % CI: [0.047, 1.917]) for males.

Conclusion

SMH could be a more suitable metric than SMI for assessing muscle mass reduction in CT scans, particularly due to its better independence from height. We emphasize the importance of clear terminology and recommend adopting “SMH” for SMA divided by height, to differentiate it from SMI in future studies.
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来源期刊
Clinical nutrition
Clinical nutrition 医学-营养学
CiteScore
14.10
自引率
6.30%
发文量
356
审稿时长
28 days
期刊介绍: Clinical Nutrition, the official journal of ESPEN, The European Society for Clinical Nutrition and Metabolism, is an international journal providing essential scientific information on nutritional and metabolic care and the relationship between nutrition and disease both in the setting of basic science and clinical practice. Published bi-monthly, each issue combines original articles and reviews providing an invaluable reference for any specialist concerned with these fields.
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