Strength-to-muscle radiodensity: A potential new index for muscle quality

医学 肌萎缩 放射性密度 腰椎 骨骼肌 危险系数 内科学 放射科 置信区间 射线照相术
作者
Jarson Pedro da Costa Pereira,Carla M. Prado,Marı́a Cristina González,Alcides da Silva Diniz,Ana Lúcia Miranda,Galtieri Otávio Cunha de Medeiros,Nancy Souza,Sílvia Fernandes Maurício,Eduardo Caldas Costa,Ana Paula Trussardi Fayh
出处
期刊:Clinical Nutrition [Elsevier]
卷期号:43 (7): 1667-1674
标识
DOI:10.1016/j.clnu.2024.05.032
摘要

Background & aims Although it is widely recognized that muscle quality significantly influences adverse outcomes in patients with cancer, the precise definition of muscle quality remains elusive. The muscle quality index (MQI), also known as muscle-specific strength, is a relatively recent functional concept of muscle quality. It is obtained through the ratio of muscle strength to muscle mass, but its predictive value in patients with cancer remains unknown. In this study, we explored the prognostic significance of MQI in patients with cancer. Furthermore, we introduce and assess the prognostic potential of a novel muscle quality metric: the strength-to-muscle-radiodensity index (SMRi). Methods A secondary analysis was conducted on a prospective cohort study. CT scans were opportunistically used to assess body composition parameters, including skeletal muscle mass (SM in cm2) and muscle radiodensity (SMD in HU) at the third lumbar vertebra (L3). Handgrip strength (HGS) was measured. MQICT was calculated using the ratio of HGS to SM (cm2). SMRi was calculated as the ratio of HGS to SMD (HU). For analysis purposes, low MQICT and SMRi was defined using two approaches: statistical cutoffs associated with survival, and median-based distribution data. Results A total of 250 patients were included (52.8% females, 52% adults, 20-90 years). Gastrointestinal tumors and stage III-IV were the most frequent diagnosis and stages. SMRi and MQICT were strongly positively correlated (ρ = 0.71 P < .001). Individual components of MQICT and SMRi were also positively correlated. Patients with both low MQICT and SMRi had shorter survival (log-rank P = .023 and P = .003, respectively). When applying median distribution cutoffs, SMRi emerged as the most accurate predictor of mortality (HR adjusted 3.18, 95% CI 1.50 to 6.75, C-index: 0.71), when compared to MQICT (HR adjusted 1.49, 95% CI 0.77 to 2.87, C-index: 0.68). Conclusion This study introduces the concept and potential prognostic significance of the SMRi. The physiological and clinical implications of this new index warrant further investigation across a spectrum of diseases, including cancer.
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