Merve Güner MD, Sinem Girgin MD, Tolga Yıldırım, Arzu Okyar Baş MD, Serdar Ceylan MD, Yelda Öztürk MD, Meltem Koca MD, Cafer Balcı, Burcu Balam Doğu, Mustafa Cankurtaran, Meltem Gülhan Halil
{"title":"根据肾移植受者营养不良问题全球领导者倡议的标准,肌肉超声所定义的腹壁肌肉质量下降与营养不良有关:一项横断面研究。","authors":"Merve Güner MD, Sinem Girgin MD, Tolga Yıldırım, Arzu Okyar Baş MD, Serdar Ceylan MD, Yelda Öztürk MD, Meltem Koca MD, Cafer Balcı, Burcu Balam Doğu, Mustafa Cankurtaran, Meltem Gülhan Halil","doi":"10.1002/jpen.2608","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Changed body composition with increased fat content and decreased muscle mass is seen in renal transplantation recipients (RTRs). Increased fat mass might mask underlying muscle mass loss; measuring low body mass index and weight reduction alone may not be sensitive enough to diagnose malnutrition in RTRs. We aimed to determine the prevalence of malnutrition in stable RTRs using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess the use of muscle ultrasonography (US) to compare the performance of various muscle US measurements in the diagnosis of reduced muscle mass.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Ninety-one patients who had renal transplantation >6 months ago were enrolled in the study. GLIM criteria were performed for all patients, but not those at risk of malnutrition. Bioelectrical impedance analysis and muscle US were performed to identify reduced muscle mass.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The prevalence of malnutrition according to GLIM criteria was 25.3% (<i>n</i> = 23). All muscle US measurements were lower in the malnourished group than the well-nourished group; however, the malnourished group had substantially lower muscle thicknesses in abdominal muscles, specifically the external oblique (EO) and internal oblique (IO) muscles, than the well-nourished group (<i>P</i> = 0.001 and <i>P</i> = 0.007, respectively). There was a significant association between malnutrition and EO (odds ratio [OR] = 0.338, 95% CI = 0.163–0.699; <i>P</i> = 0.003) and IO (OR = 0.620, 95% CI = 0.427–0.900; <i>P</i> = 0.012) regardless of age and sex.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>One in four RTRs experience malnutrition. Muscle US could be used effectively for the diagnosis of reduced muscle mass and malnutrition in RTRs according to GLIM criteria.</p>\n </section>\n </div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decreased abdominal wall muscle mass defined by muscle ultrasound is associated with malnutrition according to Global Leadership Initiative on Malnutrition criteria in renal transplant recipients: A cross-sectional study\",\"authors\":\"Merve Güner MD, Sinem Girgin MD, Tolga Yıldırım, Arzu Okyar Baş MD, Serdar Ceylan MD, Yelda Öztürk MD, Meltem Koca MD, Cafer Balcı, Burcu Balam Doğu, Mustafa Cankurtaran, Meltem Gülhan Halil\",\"doi\":\"10.1002/jpen.2608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Changed body composition with increased fat content and decreased muscle mass is seen in renal transplantation recipients (RTRs). Increased fat mass might mask underlying muscle mass loss; measuring low body mass index and weight reduction alone may not be sensitive enough to diagnose malnutrition in RTRs. We aimed to determine the prevalence of malnutrition in stable RTRs using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess the use of muscle ultrasonography (US) to compare the performance of various muscle US measurements in the diagnosis of reduced muscle mass.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Ninety-one patients who had renal transplantation >6 months ago were enrolled in the study. GLIM criteria were performed for all patients, but not those at risk of malnutrition. Bioelectrical impedance analysis and muscle US were performed to identify reduced muscle mass.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The prevalence of malnutrition according to GLIM criteria was 25.3% (<i>n</i> = 23). All muscle US measurements were lower in the malnourished group than the well-nourished group; however, the malnourished group had substantially lower muscle thicknesses in abdominal muscles, specifically the external oblique (EO) and internal oblique (IO) muscles, than the well-nourished group (<i>P</i> = 0.001 and <i>P</i> = 0.007, respectively). There was a significant association between malnutrition and EO (odds ratio [OR] = 0.338, 95% CI = 0.163–0.699; <i>P</i> = 0.003) and IO (OR = 0.620, 95% CI = 0.427–0.900; <i>P</i> = 0.012) regardless of age and sex.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>One in four RTRs experience malnutrition. Muscle US could be used effectively for the diagnosis of reduced muscle mass and malnutrition in RTRs according to GLIM criteria.</p>\\n </section>\\n </div>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-02-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jpen.2608\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jpen.2608","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
背景:肾移植受者(RTR)的身体组成发生了变化,脂肪含量增加,肌肉质量下降。脂肪量的增加可能会掩盖潜在的肌肉量减少;仅测量低体重指数和体重减轻可能不足以敏感地诊断出肾移植受者营养不良。我们的目的是采用全球营养不良领导倡议(GLIM)标准确定稳定期 RTR 中营养不良的发生率,并评估肌肉超声成像(US)的使用情况,比较各种肌肉 US 测量方法在诊断肌肉质量下降方面的性能:方法:91 名肾移植手术时间超过 6 个月的患者参与了研究。所有患者均符合 GLIM 标准,但不包括有营养不良风险的患者。通过生物电阻抗分析和肌肉超声波检查来确定肌肉质量下降的情况:结果:根据 GLIM 标准,营养不良发生率为 25.3%(n = 23)。营养不良组的所有肌肉 US 测量值均低于营养良好组;然而,营养不良组的腹部肌肉,尤其是腹外斜肌(EO)和腹内斜肌(IO)的肌肉厚度大大低于营养良好组(分别为 P = 0.001 和 P = 0.007)。无论年龄和性别如何,营养不良与 EO(几率比 [OR] = 0.338,95% CI = 0.163-0.699;P = 0.003)和 IO(OR = 0.620,95% CI = 0.427-0.900;P = 0.012)之间存在明显关联:结论:每四名 RTR 中就有一人营养不良。根据 GLIM 标准,肌肉 US 可有效用于诊断 RTR 肌肉质量减少和营养不良。
Decreased abdominal wall muscle mass defined by muscle ultrasound is associated with malnutrition according to Global Leadership Initiative on Malnutrition criteria in renal transplant recipients: A cross-sectional study
Background
Changed body composition with increased fat content and decreased muscle mass is seen in renal transplantation recipients (RTRs). Increased fat mass might mask underlying muscle mass loss; measuring low body mass index and weight reduction alone may not be sensitive enough to diagnose malnutrition in RTRs. We aimed to determine the prevalence of malnutrition in stable RTRs using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess the use of muscle ultrasonography (US) to compare the performance of various muscle US measurements in the diagnosis of reduced muscle mass.
Methods
Ninety-one patients who had renal transplantation >6 months ago were enrolled in the study. GLIM criteria were performed for all patients, but not those at risk of malnutrition. Bioelectrical impedance analysis and muscle US were performed to identify reduced muscle mass.
Results
The prevalence of malnutrition according to GLIM criteria was 25.3% (n = 23). All muscle US measurements were lower in the malnourished group than the well-nourished group; however, the malnourished group had substantially lower muscle thicknesses in abdominal muscles, specifically the external oblique (EO) and internal oblique (IO) muscles, than the well-nourished group (P = 0.001 and P = 0.007, respectively). There was a significant association between malnutrition and EO (odds ratio [OR] = 0.338, 95% CI = 0.163–0.699; P = 0.003) and IO (OR = 0.620, 95% CI = 0.427–0.900; P = 0.012) regardless of age and sex.
Conclusion
One in four RTRs experience malnutrition. Muscle US could be used effectively for the diagnosis of reduced muscle mass and malnutrition in RTRs according to GLIM criteria.