{"title":"通过骨骼肌质量指数对危重症成人的严重营养不良进行预后评估:一项比较分析。","authors":"Tomoka Miyagi, Minoru Yoshida, Shinya Suganuma, Kensuke Nakamura, Shunsuke Takaki","doi":"10.1002/jpen.2789","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The Global Leadership Initiative on Malnutrition (GLIM) criteria are recommended by major academic societies; however, their application to critically ill patients is limited because of the difficulties associated with assessing muscle mass and the lack of standardized methods and cutoff values. We herein applied GLIM criteria to intensive care unit (ICU) patients by accurately assessing total skeletal muscle volume using computed tomography (CT) with sarcopenia diagnostic cutoff values.</p><p><strong>Methods: </strong>We included consecutive adult patients admitted to our ICU who underwent CT of the trunk. Total skeletal muscle area at the third lumbar vertebra was measured, and the skeletal muscle index was calculated. Reduced muscle mass was defined with Iritani criteria. A positive result in any of the phenotypic criteria was regarded as severe malnutrition. The primary outcome was in-hospital mortality. We also examined the agreement with the Subjective Global Assessment (SGA) using Cohen kappa coefficient.</p><p><strong>Results: </strong>Among 147 patients, 38 had weight loss, 39 had a low body mass index (BMI), and 41 had reduced muscle mass. In-hospital mortality was associated with reduced muscle mass (13.2% vs 43.9%, P < 0.001) and low BMI (15.7% vs 38.5%, P = 0.003). The concordance of individual and sole phenotypic criteria with SGA was low, whereas concordance was the highest at κ = 0.70 when all three criteria were combined.</p><p><strong>Conclusions: </strong>GLIM criteria with accurate muscle mass evaluation using sarcopenia diagnostic cutoffs by CT may facilitate the identification of ICU patients with malnutrition whose prognosis is poor.</p>","PeriodicalId":520701,"journal":{"name":"JPEN. Journal of parenteral and enteral nutrition","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic evaluation of GLIM-defined severe malnutrition via skeletal muscle mass index in critically ill adults: A comparative analysis.\",\"authors\":\"Tomoka Miyagi, Minoru Yoshida, Shinya Suganuma, Kensuke Nakamura, Shunsuke Takaki\",\"doi\":\"10.1002/jpen.2789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The Global Leadership Initiative on Malnutrition (GLIM) criteria are recommended by major academic societies; however, their application to critically ill patients is limited because of the difficulties associated with assessing muscle mass and the lack of standardized methods and cutoff values. We herein applied GLIM criteria to intensive care unit (ICU) patients by accurately assessing total skeletal muscle volume using computed tomography (CT) with sarcopenia diagnostic cutoff values.</p><p><strong>Methods: </strong>We included consecutive adult patients admitted to our ICU who underwent CT of the trunk. Total skeletal muscle area at the third lumbar vertebra was measured, and the skeletal muscle index was calculated. Reduced muscle mass was defined with Iritani criteria. A positive result in any of the phenotypic criteria was regarded as severe malnutrition. The primary outcome was in-hospital mortality. We also examined the agreement with the Subjective Global Assessment (SGA) using Cohen kappa coefficient.</p><p><strong>Results: </strong>Among 147 patients, 38 had weight loss, 39 had a low body mass index (BMI), and 41 had reduced muscle mass. In-hospital mortality was associated with reduced muscle mass (13.2% vs 43.9%, P < 0.001) and low BMI (15.7% vs 38.5%, P = 0.003). The concordance of individual and sole phenotypic criteria with SGA was low, whereas concordance was the highest at κ = 0.70 when all three criteria were combined.</p><p><strong>Conclusions: </strong>GLIM criteria with accurate muscle mass evaluation using sarcopenia diagnostic cutoffs by CT may facilitate the identification of ICU patients with malnutrition whose prognosis is poor.</p>\",\"PeriodicalId\":520701,\"journal\":{\"name\":\"JPEN. Journal of parenteral and enteral nutrition\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JPEN. 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引用次数: 0
摘要
背景:营养不良全球领导倡议(GLIM)标准是由主要学术团体推荐的;然而,由于与评估肌肉质量相关的困难以及缺乏标准化方法和临界值,它们在危重患者中的应用受到限制。在此,我们将GLIM标准应用于重症监护病房(ICU)患者,通过计算机断层扫描(CT)准确评估骨骼肌总体积,并确定肌肉减少症的诊断临界值。方法:我们纳入了连续入住ICU并接受躯干CT检查的成年患者。测量第三腰椎总骨骼肌面积,计算骨骼肌指数。肌肉量减少以Iritani标准定义。任何表型标准的阳性结果都被认为是严重营养不良。主要终点是住院死亡率。我们还使用Cohen kappa系数检查了与主观全局评估(SGA)的一致性。结果:147例患者中,38例体重减轻,39例身体质量指数(BMI)较低,41例肌肉质量减少。住院死亡率与肌肉量减少相关(13.2% vs 43.9%)。结论:采用CT肌少症诊断截止值准确评估肌肉量的GLIM标准有助于鉴别预后较差的营养不良ICU患者。
Prognostic evaluation of GLIM-defined severe malnutrition via skeletal muscle mass index in critically ill adults: A comparative analysis.
Background: The Global Leadership Initiative on Malnutrition (GLIM) criteria are recommended by major academic societies; however, their application to critically ill patients is limited because of the difficulties associated with assessing muscle mass and the lack of standardized methods and cutoff values. We herein applied GLIM criteria to intensive care unit (ICU) patients by accurately assessing total skeletal muscle volume using computed tomography (CT) with sarcopenia diagnostic cutoff values.
Methods: We included consecutive adult patients admitted to our ICU who underwent CT of the trunk. Total skeletal muscle area at the third lumbar vertebra was measured, and the skeletal muscle index was calculated. Reduced muscle mass was defined with Iritani criteria. A positive result in any of the phenotypic criteria was regarded as severe malnutrition. The primary outcome was in-hospital mortality. We also examined the agreement with the Subjective Global Assessment (SGA) using Cohen kappa coefficient.
Results: Among 147 patients, 38 had weight loss, 39 had a low body mass index (BMI), and 41 had reduced muscle mass. In-hospital mortality was associated with reduced muscle mass (13.2% vs 43.9%, P < 0.001) and low BMI (15.7% vs 38.5%, P = 0.003). The concordance of individual and sole phenotypic criteria with SGA was low, whereas concordance was the highest at κ = 0.70 when all three criteria were combined.
Conclusions: GLIM criteria with accurate muscle mass evaluation using sarcopenia diagnostic cutoffs by CT may facilitate the identification of ICU patients with malnutrition whose prognosis is poor.