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Pumtako C, Dolan RD, McGovern J, McMillan DC. Routine assessment of nutritional, functional and inflammatory criteria in patients with cancer: A systematic review. Clin Nutr ESPEN 2024; 63:294-303. [PMID: 38980797 DOI: 10.1016/j.clnesp.2024.06.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 06/19/2024] [Accepted: 06/27/2024] [Indexed: 07/11/2024]
Abstract
BACKGROUND The review discusses the significant impact of cancer on patients, particularly focusing on cachexia - a condition marked by weight and lean tissue loss. This condition critically affects the nutritional status, quality of life, and treatment outcomes of cancer patients. RESEARCH QUESTION The review seeks to understand the effectiveness and necessity of routine clinical monitoring of cancer cachexia, and how it can aid in better therapeutic interventions. METHODS The systematic review followed a pre-defined protocol based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)statement. A systematic search using specific keywords was conducted in PubMed and EMBASE databases on October 24, 2023, supplemented by citations from the original papers. The selection process involved screening titles and abstracts for relevance. RESULTS The review finds varying levels of effectiveness in the different measurement criteria used for monitoring cachexia. It highlights the potential of the Global Leadership Initiative on Malnutrition (GLIM) framework in defining and managing cancer cachexia, though noting some challenges in standardisation and implementation of measurements. CONCLUSION The present systematic review highlights the variability and lack of standardization in the application of GLIM criteria for monitoring cachexia in cancer patients. Despite these challenges, it will be important to determine the most efficacious clinically routine nutritional and inflammation assessments in the routine application of GLIM criteria assessment.
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Affiliation(s)
- Chattarin Pumtako
- Academic Unit of Surgery, School of Medicine, University of Glasgow, New Lister Building, Royal Infirmary, Glasgow, G31 2ER, UK.
| | - Ross D Dolan
- Academic Unit of Surgery, School of Medicine, University of Glasgow, New Lister Building, Royal Infirmary, Glasgow, G31 2ER, UK
| | - Josh McGovern
- Academic Unit of Surgery, School of Medicine, University of Glasgow, New Lister Building, Royal Infirmary, Glasgow, G31 2ER, UK
| | - Donald C McMillan
- Academic Unit of Surgery, School of Medicine, University of Glasgow, New Lister Building, Royal Infirmary, Glasgow, G31 2ER, UK
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2
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Wu T, Zhou M, Xu K, Zou Y, Zhang S, Cheng H, Guo P, Song C. GLIM Achieves Best Diagnostic Performance in Non-Cancer Patients with Low BMI: A Hierarchical Bayesian Latent-Class Meta-Analysis. Nutr Rev 2024:nuae096. [PMID: 39013202 DOI: 10.1093/nutrit/nuae096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2024] Open
Abstract
CONTEXT Global Leadership Initiative on Malnutrition (GLIM) and Patient-Generated Subjective Global Assessment (PG-SGA) are commonly used nutrition assessment tools, whose performance does not reach a consensus due to different and imperfect reference standards. OBJECTIVE This study aimed to evaluate and compare the diagnostic accuracy of GLIM and PG-SGA, using a hierarchical Bayesian latent class model, in the absence of a gold standard. DATA SOURCES A systematic search was undertaken in PubMed, Embase, and Web of Science from inception to October 2022. Diagnostic test studies comparing (1) the GLIM and/or (2) PG-SGA with "semi-gold" standard assessment tools for malnutrition were included. DATA EXTRACTION Two authors independently extracted data on sensitivity, specificity, and other key characteristics. The methodological quality of each included study was appraised according to the criteria in the Quality Assessment of Diagnostic Accuracy Studies-2. DATA ANALYSIS A total of 45 studies, comprising 20 876 individuals evaluated for GLIM and 11 575 for PG-SGA, were included. The pooled sensitivity was 0.833 (95% CI 0.744 to 0.896) for GLIM and 0.874 (0.797 to 0.925) for PG-SGA, while the pooled specificity was 0.837 (0.780 to 0.882) for GLIM and 0.778 (0.707 to 0.836) for PG-SGA. GLIM showed slightly better performance than PG-SGA, with a higher diagnostic odds ratio (25.791 vs 24.396). The diagnostic performance of GLIM was most effective in non-cancer patients with an average body mass index (BMI) of <24 kg/m2, followed by non-cancer patients with an average age of ≥60 years. PG-SGA was most powerful in cancer patients with an average age of <60 years, followed by cancer patients with an average BMI of <24 kg/m2. CONCLUSION Both GLIM and PG-SGA had moderately high diagnostic capabilities. GLIM was most effective in non-cancer patients with a low BMI, while PG-SGA was more applicable in cancer patients. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration No. CRD42022380409.
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Affiliation(s)
- Tiantian Wu
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Mingming Zhou
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Kedi Xu
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Yuanlin Zou
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Shaobo Zhang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Haoqing Cheng
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Pengxia Guo
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Chunhua Song
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
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Wang Y, Liu Z, Zhang H, Wang Y, Chen X, Lu W, Fang Y, Peng Z, Liu W. Evaluation of different screening tools as the first step of the GLIM framework: A cross-sectional study of Chinese cancer patients in an outpatient setting. Nutr Clin Pract 2024; 39:702-713. [PMID: 38161144 DOI: 10.1002/ncp.11103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 11/02/2023] [Accepted: 11/04/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND Ambulatory cancer patients are at high risk of malnutrition. Multiple nutrition screening and assessment tools are used in the outpatient setting. This study aimed to evaluate the efficacy of different nutrition screening tools as the first step of the Global Leadership Initiative on Malnutrition (GLIM) framework in Chinese ambulatory cancer patients. METHODS A cross-sectional study was conducted in a tertiary hospital in China. Malnutrition diagnoses made by the GLIM framework using Malnutrition Screening Tool, Malnutrition Universal Screening Tool, Nutritional Risk Screening 2002, or short-form of Patient-Gernerated Subjective Global Assessment (PG-SGA) as the first step were compared with PG-SGA separately. RESULTS Of the 562 included patients, 31.0% were diagnosed with malnutrition (PG-SGA: B + C), and 12.6% were diagnosed with severe malnutrition (PG-SGA: C). As the screening tool in the first step of the GLIM framework, the short form of PG-SGA (PG-SGA SF) with a cutoff value of ≥2 performed best in diagnosing malnutrition, with good sensitivity (SE) (80.5% [73.6-85.9]) and specificity (SP) (98.4% [96.5-99.4]) and substantial accordance (κ = 0.826), whereas PG-SGA SF with a cutoff value of ≥4 performed best in diagnosing severe malnutrition, with fair SE (62.0% [49.6-73.0]), good SP (96.7% [94.6-98.1]) and moderate accordance (κ = 0.629). CONCLUSION Using PG-SGA as the standard, the GLIM framework using PG-SGA SF as the screening tool has good accordance with the PG-SGA regardless of severity grading. PG-SGA SF can be used as a valid screening tool in the GLIM framework.
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Affiliation(s)
- Yanfei Wang
- Department of Day Oncology Unit, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital, Beijing, China
| | - Ziqi Liu
- Department of Nutrition, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital, Beijing, China
| | - Hong Zhang
- Department of Day Oncology Unit, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital, Beijing, China
| | - Yunyi Wang
- Department of Supportive Care, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital, Beijing, China
| | - Xiaoyan Chen
- Department of Day Oncology Unit, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital, Beijing, China
| | - Wenqi Lu
- School of Global Public Health, Public Health Nutrition, New York University, New York City, New York, USA
| | - Yu Fang
- Department of Nutrition, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital, Beijing, China
| | - Zhi Peng
- Department of Nutrition, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital, Beijing, China
| | - Wei Liu
- Department of Day Oncology Unit, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital, Beijing, China
- Department of Supportive Care, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital, Beijing, China
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Gholi Z, Rezaei M, Vahdat Shariatpanahi Z, Momen R, Fallah Bagher Shaidaei M, Gholami M, Aghaee S, Eskandari Sabzi H, Rajabi MR. Malnutrition elevates delirium and ICU stay among critically ill older adult COVID-19 patients. Front Med (Lausanne) 2024; 11:1259320. [PMID: 38799151 PMCID: PMC11116702 DOI: 10.3389/fmed.2024.1259320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 04/29/2024] [Indexed: 05/29/2024] Open
Abstract
Background and aim Malnutrition among intensive care unit (ICU) patients is associated with a higher risk of mortality and prolonged hospitalization. However, the influence of malnutrition on severe outcomes of ICU patients with coronavirus disease 2019 (COVID-19) is unclear. By evaluating the effect of malnutrition on the outcomes of COVID-19 in the ICU in older adult patients, this study will contribute to new knowledge of assessing the nutritional status and recovery of these patients. Methods In the current single center prospective study, 310 critically ill COVID-19 patients with an age range of ≥65 years were recruited. Data on demographic characteristics, laboratory parameters, comorbidities, medications, and types of mechanical ventilation were collected in the first 24 h of ICU admission. Malnutrition was defined based on the two-step approach of the Global Leadership Initiative on Malnutrition (GLIM) scale at baseline. During the 45 days after the baseline, we collected data on delirium incidence, mortality, invasive mechanical ventilation (IMV) requirement, length of ICU and hospital admission, and re-hospitalization. Results In this study, the prevalence of malnutrition was 63.4% among critically ill COVID-19 patients. During the 45-day follow-up, 190 (61.3%) COVID-19 deaths were recorded among the baseline 310 patients. After controlling for potential confounders, malnutrition was associated with an increased risk of delirium so malnourished COVID-19 patients had a significantly 35% higher risk of delirium than those without malnutrition (HR: 1.35, 95% CI: 1.01-1.83). Such a significant association was not for COVID-19 mortality and IMV requirement. In addition, malnutrition was associated with a significantly 84% greater odds of prolonged ICU admission (OR: 1.84, 95% CI: 1.09-3.10). No significant association was seen between malnutrition and re-hospitalization and also prolonged hospital admission. Conclusion Malnutrition was associated with an increased risk of delirium and prolonged ICU admission among critically ill older adult COVID-19 patients. Prevention, diagnosis, and treatment of malnutrition could be a key component in improving outcomes in these patients.
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Affiliation(s)
- Zahra Gholi
- Minimally Invasive Surgery Research Center; Iran University of Medical Sciences, Tehran, Iran
| | - Masoud Rezaei
- Nursing and Midwifery Care Research Center, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
- Cardiovascular Nursing Research Center, Rajaie Cardiovascular Medical and Research Center, Tehran, Iran
| | - Zahra Vahdat Shariatpanahi
- Department of Clinical Nutrition and Dietetics, National Nutrition and Food Technology Research Institute, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Reza Momen
- MSc in Critical Care nursing, Instructor, Critical Care Nursing Department, Faculty of Nursing, Aja University of Medical Sciences, Tehran, Iran
| | | | - Mostafa Gholami
- Nursing and Midwifery Care Research Center, Health Management Research Institute, Iran University of Medical Science, Tehran, Iran
| | - Simin Aghaee
- Department of Pediatric Nursing, School of Nursing, Student Research Committee, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Hakimeh Eskandari Sabzi
- Dept. of Pediatric Nursing, School of Nursing and Midwifery, Ahvaz Jundishapour University Medical Sciences, Ahvaz, Iran, Ahvaz, Iran
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Wu Y, Liu RT, Zhou XY, Fang Q, Huang D, Jia ZY. The Global Leadership Initiative on Malnutrition criteria for diagnosis of malnutrition and outcomes prediction in emergency abdominal surgery. Nutrition 2024; 119:112298. [PMID: 38176361 DOI: 10.1016/j.nut.2023.112298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/13/2023] [Accepted: 11/01/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVES Malnutrition has adverse postoperative outcomes, especially in emergency surgery. Among the numerous tools for nutritional assessment, this study aims to investigate malnutrition diagnosed by Global Leadership Initiative on Malnutrition criteria and the Global Leadership Initiative on Malnutrition predictive value for outcomes after emergency abdominal surgery. METHODS This was a prospective observational study. Among the 468 patients undergoing emergency abdominal surgery admitted to a department of emergency surgery from June 2020 to December 2021, 53 patients were not eligible for enrollment, and 19 patients had missing data. Thus, the final number of participants was 396. Muscle mass was evaluated by skeletal muscle index at the third lumbar vertebra on computed tomography scans, and the lower quartile was defined as the threshold of muscle mass reduction. The associations of Global Leadership Initiative on Malnutrition, Global Leadership Initiative on Malnutrition (muscle mass reduction excluded), and skeletal muscle index with in-hospital mortality, postoperative complications, and postoperative stay were evaluated using χ2. In addition, confounding factors were screened, regression models were established, and the Global Leadership Initiative on Malnutrition predictive value was analyzed for clinical outcome. Ethical approval was obtained from the appropriate department. RESULTS Malnutrition was observed in 19.9% of the total 396 patients based on the Global Leadership Initiative on Malnutrition and in 12.4% on the Global Leadership Initiative on Malnutrition (muscle mass reduction excluded). Sarcopenia by skeletal muscle index was found in 24.7% of patients. Univariate analysis indicated that in-hospital mortality, postoperative complications, infective complication rate, and postoperative hospital stay were significantly higher in malnourished and sarcopenic patients. Multivariate analysis found that malnutrition diagnosed by the Global Leadership Initiative on Malnutrition was predictive for complications, infective complications, and postoperative stay (total postoperative complications: odds ratio = 3.620; 95% CI, 1.635-8.015; P = 0.002; infective complications: odds ratio = 3.127; 95% CI, 1.194-8.192; P = 0.020; and postoperative stay: regression coefficient = 2.622; P = 0.022). The Global Leadership Initiative on Malnutrition (muscle mass reduction excluded) identified postoperative complications and postoperative stay (total postoperative complications: odds ratio = 3.364; 95% CI, 1.247-9.075; P = 0.017 and postoperative stay: regression coefficient = 3.547; P = 0.009). Sarcopenia by skeletal muscle index was a risk factor for postoperative complications (odds ratio = 3.366; 95% CI, 1.587-7.140; P = 0.002). CONCLUSION The Global Leadership Initiative on Malnutrition and Global Leadership Initiative on Malnutritison (muscle mass reduction excluded) had predictive value for adverse clinical outcomes due to malnutrition in patients undergoing emergency abdominal surgery.
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Affiliation(s)
- Yue Wu
- Huashan Hospital, Fudan University, Shanghai, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruo-Tao Liu
- Department of Surgery, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Yue Zhou
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Fang
- Department of Clinical Nutrition, Putuo People's Hospital, Tongji University, Shanghai, China
| | - Dongpin Huang
- Department of Clinical Nutrition, Putuo People's Hospital, Tongji University, Shanghai, China
| | - Zhen-Yi Jia
- Department of Surgery, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Clinical Nutrition, Putuo People's Hospital, Tongji University, Shanghai, China.
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Huang H, Wang Q, Luo Y, Tang Z, Liu F, Zhang R, Cai G, Huang J, Zhang L, Zeng L, Cao X, Yang J, Wang Y, Wang K, Li Y, Li Q, Chen X, Dong Z. Validity and applicability of the global leadership initiative on malnutrition criteria in non-dialysis patients with chronic kidney disease. Front Nutr 2024; 11:1340153. [PMID: 38362100 PMCID: PMC10867223 DOI: 10.3389/fnut.2024.1340153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 01/16/2024] [Indexed: 02/17/2024] Open
Abstract
Introduction There are no standardized assessment criteria for selecting nutritional risk screening tools or indicators to assess reduced muscle mass (RMM) in the Global Leadership Initiative on Malnutrition (GLIM) criteria. We aimed to compare the consistency of different GLIM criteria with Subjective Global Assessment (SGA) and protein-energy wasting (PEW). Methods In this study, nutritional risk screening 2002 first four questions (NRS-2002-4Q), Nutritional Risk Screening 2002 (NRS-2002), Malnutrition Universal Screening Tool (MUST), and Mini-Nutritional Assessment Short-Form (MNA-SF) tools were used as the first step of nutritional risk screening for the GLIM. The RMM is expressed using different metrics. The SGA and PEW were used to diagnose patients and classify them as malnourished and non-malnourished. Kappa (κ) tests were used to compare the concordance between the SGA, PEW, and GLIM of each combination of screening tools. Results A total of 157 patients were included. Patients with Chronic kidney disease (CKD) stage 1-3 accounted for a large proportion (79.0%). The prevalence rates of malnutrition diagnosed using the SGA and PEW were 18.5% and 19.7%, respectively. The prevalence of GLIM-diagnosed malnutrition ranges from 5.1% to 37.6%, depending on the different screening methods for nutritional risk and the different indicators denoting RMM. The SGA was moderately consistent with the PEW (κ = 0.423, p < 0.001). The consistency among the GLIM, SGA, and PEW was generally low. Using the NRS-2002-4Q to screen for nutritional risk, GLIM had the best agreement with SGA and PEW when skeletal muscle index (SMI), fat-free mass index (FFMI), and hand grip strength (HGS) indicated a reduction in muscle mass (SGA: κ = 0.464, 95% CI 0.28-0.65; PEW: κ = 0.306, 95% CI 0.12-0.49). Conclusion The concordance between the GLIM criteria and the SGA and PEW depended on the screening tool used in the GLIM process. The inclusion of RMM in the GLIM framework is important. The addition of HGS could further improve the performance of the GLIM standard compared to the use of body composition measurements.
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Affiliation(s)
- Hui Huang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Qian Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yayong Luo
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zhengchun Tang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Fang Liu
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Ruimin Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Guangyan Cai
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Jing Huang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Li Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Li Zeng
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Xueying Cao
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Jian Yang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yong Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Keyun Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yaqing Li
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Qihu Li
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xiangmei Chen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zheyi Dong
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
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Luengo-Pérez LM, Fernández-Bueso M, Ambrojo A, Guijarro M, Ferreira AC, Pereira-da-Silva L, Moreira-Rosário A, Faria A, Calhau C, Daly A, MacDonald A, Rocha JC. Body Composition Evaluation and Clinical Markers of Cardiometabolic Risk in Patients with Phenylketonuria. Nutrients 2023; 15:5133. [PMID: 38140392 PMCID: PMC10745907 DOI: 10.3390/nu15245133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 12/07/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Cardiovascular diseases are the main cause of mortality worldwide. Patients with phenylketonuria (PKU) may be at increased cardiovascular risk. This review provides an overview of clinical and metabolic cardiovascular risk factors, explores the connections between body composition (including fat mass and ectopic fat) and cardiovascular risk, and examines various methods for evaluating body composition. It particularly focuses on nutritional ultrasound, given its emerging availability and practical utility in clinical settings. Possible causes of increased cardiometabolic risk in PKU are also explored, including an increased intake of carbohydrates, chronic exposure to amino acids, and characteristics of microbiota. It is important to evaluate cardiovascular risk factors and body composition in patients with PKU. We suggest systematic monitoring of body composition to develop nutritional management and hydration strategies to optimize performance within the limits of nutritional therapy.
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Affiliation(s)
- Luis M. Luengo-Pérez
- Biomedical Sciences Department, University of Extremadura, 06008 Badajoz, Spain
- Clinical Nutrition and Dietetics Unit, Badajoz University Hospital, 06008 Badajoz, Spain; (M.F.-B.); (A.A.); (M.G.)
| | - Mercedes Fernández-Bueso
- Clinical Nutrition and Dietetics Unit, Badajoz University Hospital, 06008 Badajoz, Spain; (M.F.-B.); (A.A.); (M.G.)
| | - Ana Ambrojo
- Clinical Nutrition and Dietetics Unit, Badajoz University Hospital, 06008 Badajoz, Spain; (M.F.-B.); (A.A.); (M.G.)
| | - Marta Guijarro
- Clinical Nutrition and Dietetics Unit, Badajoz University Hospital, 06008 Badajoz, Spain; (M.F.-B.); (A.A.); (M.G.)
| | - Ana Cristina Ferreira
- Reference Centre of Inherited Metabolic Diseases, Centro Hospitalar Universitário de Lisboa Central, Rua Jacinta Marto, 1169-045 Lisboa, Portugal; (A.C.F.); or (J.C.R.)
| | - Luís Pereira-da-Silva
- CHRC—Comprehensive Health Research Centre, Nutrition Group, NOVA Medical School, Universidade Nova de Lisboa, 1349-008 Lisboa, Portugal; (L.P.-d.-S.); (A.F.)
- NOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade NOVA de Lisboa, Campo Mártires da Pátria 130, 1169-056 Lisboa, Portugal; (A.M.-R.); (C.C.)
| | - André Moreira-Rosário
- NOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade NOVA de Lisboa, Campo Mártires da Pátria 130, 1169-056 Lisboa, Portugal; (A.M.-R.); (C.C.)
- CINTESIS@RISE, Nutrition and Metabolism, NOVA Medical School (NMS), Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Campo Mártires da Pátria 130, 1169-056 Lisboa, Portugal
| | - Ana Faria
- CHRC—Comprehensive Health Research Centre, Nutrition Group, NOVA Medical School, Universidade Nova de Lisboa, 1349-008 Lisboa, Portugal; (L.P.-d.-S.); (A.F.)
- CINTESIS@RISE, Nutrition and Metabolism, NOVA Medical School (NMS), Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Campo Mártires da Pátria 130, 1169-056 Lisboa, Portugal
| | - Conceição Calhau
- NOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade NOVA de Lisboa, Campo Mártires da Pátria 130, 1169-056 Lisboa, Portugal; (A.M.-R.); (C.C.)
- CINTESIS@RISE, Nutrition and Metabolism, NOVA Medical School (NMS), Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Campo Mártires da Pátria 130, 1169-056 Lisboa, Portugal
| | - Anne Daly
- Birmingham Children’s Hospital, Birmingham B4 6NH, UK; (A.D.); (A.M.)
| | - Anita MacDonald
- Birmingham Children’s Hospital, Birmingham B4 6NH, UK; (A.D.); (A.M.)
| | - Júlio César Rocha
- Reference Centre of Inherited Metabolic Diseases, Centro Hospitalar Universitário de Lisboa Central, Rua Jacinta Marto, 1169-045 Lisboa, Portugal; (A.C.F.); or (J.C.R.)
- NOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade NOVA de Lisboa, Campo Mártires da Pátria 130, 1169-056 Lisboa, Portugal; (A.M.-R.); (C.C.)
- CINTESIS@RISE, Nutrition and Metabolism, NOVA Medical School (NMS), Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Campo Mártires da Pátria 130, 1169-056 Lisboa, Portugal
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8
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Murnane LC, Forsyth AK, Koukounaras J, Shaw K, King S, Brown WA, Mourtzakis M, Tierney AC, Burton PR. Malnutrition defined by GLIM criteria identifies a higher incidence of malnutrition and is associated with pulmonary complications after oesophagogastric cancer surgery, compared to ICD-10-defined malnutrition. J Surg Oncol 2023; 128:769-780. [PMID: 37291908 DOI: 10.1002/jso.27366] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/05/2023] [Accepted: 05/24/2023] [Indexed: 06/10/2023]
Abstract
BACKGROUND & OBJECTIVES Low muscle mass, measured using computed tomography (CT), is associated with poor surgical outcomes. We aimed to include CT-muscle mass in malnutrition diagnosis using the Global Leadership Initiative on Malnutrition (GLIM) criteria, compare it to the International Classification of Diseases 10th Revision (ICD-10) criteria, and assess the impact on postoperative outcomes after oesophagogastric (OG) cancer surgery. METHODS One hundred and eight patients who underwent radical OG cancer surgery and had preoperative abdominal CT imaging were included. GLIM and ICD-10 malnutrition data were assessed against complication and survival outcomes. Low CT-muscle mass was determined using predefined cut-points. RESULTS GLIM-defined malnutrition prevalence was significantly higher than ICD-10-malnutrition (72.2% vs. 40.7%, p < 0.001). Of the 78 patients with GLIM-defined malnutrition, low muscle mass (84.6%) was the predominant phenotypic criterion. GLIM-defined malnutrition was associated with pneumonia (26.9% vs. 6.7%, p = 0.010) and pleural effusions (12.8% vs. 0%, p = 0.029). Postoperative complications did not correlate with ICD-10 malnutrition. Severe GLIM (HR: 2.51, p = 0.014) and ICD-10 (HR: 2.15, p = 0.039) malnutrition were independently associated with poorer 5-year survival. CONCLUSIONS GLIM criteria appear to identify more malnourished patients and more closely relate to surgical risk than ICD-10 malnutrition, likely due to incorporating objective muscle mass assessment.
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Affiliation(s)
- Lisa C Murnane
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- Department of Nutrition and Dietetics, Alfred Health, Melbourne, Australia
| | - Adrienne K Forsyth
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia
| | - Jim Koukounaras
- Department of Radiology, Alfred Health, Melbourne, Australia
- Department of Medicine, Monash University, Melbourne, Australia
| | - Kalai Shaw
- Department of Surgery, Monash University, Melbourne, Australia
- Oesophagogastric Bariatric Surgery Unit, Alfred Health, Melbourne, Australia
| | - Susannah King
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- Department of Nutrition and Dietetics, Alfred Health, Melbourne, Australia
| | - Wendy A Brown
- Department of Surgery, Monash University, Melbourne, Australia
- Oesophagogastric Bariatric Surgery Unit, Alfred Health, Melbourne, Australia
| | - Marina Mourtzakis
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Audrey C Tierney
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- School of Allied Health, Health Implementation Science and Technology Centre, Health Research Institute, University of Limerick, Limerick, Ireland
| | - Paul R Burton
- Department of Surgery, Monash University, Melbourne, Australia
- Oesophagogastric Bariatric Surgery Unit, Alfred Health, Melbourne, Australia
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9
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López-Gómez JJ, Cerezo-Martín JM, Gómez-Hoyos E, Jiménez-Sahagún R, Torres-Torres B, Ortolá-Buigues A, Delgado-García E, Pérez Mellen I, de Luis Román DA. Diagnosis of malnutrition and its relationship with prognosis in hospitalized patients with oncological pathology. ENDOCRINOL DIAB NUTR 2023:S2530-0180(23)00085-9. [PMID: 37225623 DOI: 10.1016/j.endien.2023.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 02/15/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND AND AIMS Medical oncology inpatients are at a very high risk of malnutrition, and the presence of complications associated with malnutrition is significant in their evolution. It is necessary to have adequate tools in the diagnosis of malnutrition. OBJECTIVES This study is aimed to assess the nutritional status of cancer inpatients and compare the incidence of complications based on the nutritional diagnosis with different tools. METHODS An observational, longitudinal, and retrospective study was designed on 149 patients admitted to the Oncology Service who were requested nutritional and medical treatment between January 2014 and June 2017. Epidemiological, clinical, anthropometric, and nutritional data were collected. Nutritional status was assessed using the Mini Nutritional Assessment (MNA), the Malnutrition Universal Screening Tool (MUST), and the Global Leadership Initiative on Malnutrition (GLIM) criteria. RESULTS The age of the patients was 61.61 (15.96) years. 67.8% of the patients were men. Most of the patients were in advanced tumor stages (stage III (15.3%); stage IV (77.1%)). The median of the MUST was 2 (0-3) (High risk: 83 (55.7%)). The median MNA was 17 (14-20) (poor nutritional status: 65 (43.6%); risk of malnutrition 71 (47.7%)). According to the GLIM criteria, 115 (77.2%) had malnutrition, and 97 (65.1%) had severe malnutrition. According to MNA, an increase in mortality was observed (MNA <17: 24.6% vs. MNA >17: 7.9%; pvalue <0.01). Multivariate analysis showed that poor nutritional status measured with MNA is related to an increased probability of mortality regardless of the stage of the disease and the patient's age OR: 4.19 95% CI (1.41-12.47); p-value = 0.02. CONCLUSIONS Malnutrition among cancer patients in whom a nutritional assessment is requested during admission is very high. In hospitalized patients with oncological pathology, it was observed that malnutrition measured by MNA acts as a mortality risk factor.
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Affiliation(s)
- Juan J López-Gómez
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain; Centro de Investigación en Endocrinología y Nutrición, Universidad de Valladolid (IENVA), Valladolid, Spain.
| | - Juan M Cerezo-Martín
- Servicio de Hematología, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Emilia Gómez-Hoyos
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain; Centro de Investigación en Endocrinología y Nutrición, Universidad de Valladolid (IENVA), Valladolid, Spain
| | - Rebeca Jiménez-Sahagún
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain; Centro de Investigación en Endocrinología y Nutrición, Universidad de Valladolid (IENVA), Valladolid, Spain
| | - Beatriz Torres-Torres
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain; Centro de Investigación en Endocrinología y Nutrición, Universidad de Valladolid (IENVA), Valladolid, Spain
| | - Ana Ortolá-Buigues
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain; Centro de Investigación en Endocrinología y Nutrición, Universidad de Valladolid (IENVA), Valladolid, Spain
| | - Esther Delgado-García
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain; Centro de Investigación en Endocrinología y Nutrición, Universidad de Valladolid (IENVA), Valladolid, Spain
| | - Isabel Pérez Mellen
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | - Daniel A de Luis Román
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain; Centro de Investigación en Endocrinología y Nutrición, Universidad de Valladolid (IENVA), Valladolid, Spain
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10
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Matsui R, Rifu K, Watanabe J, Inaki N, Fukunaga T. Current status of the association between malnutrition defined by the GLIM criteria and postoperative outcomes in gastrointestinal surgery for cancer: a narrative review. J Cancer Res Clin Oncol 2023; 149:1635-1643. [PMID: 35804248 DOI: 10.1007/s00432-022-04175-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/26/2022] [Indexed: 10/17/2022]
Abstract
In 2018, the Global Leadership Initiative on Malnutrition consortium published global consensus diagnostic criteria for malnutrition and highlighted the association between malnutrition and poor postoperative outcomes in patients with gastrointestinal cancer. The aforementioned criteria consist of phenotypic and etiologic criteria to diagnose malnutrition in individuals who undergo conventional screening to determine the at-risk population. Recent studies have reported the usefulness of prediction of postoperative outcomes using body mass index, weight loss, and reduced muscle mass as phenotypic criteria. Reduced muscle mass is an essential diagnostic criterion for sarcopenia, which is associated with poor outcomes in patients with cancer. The Global Leadership Initiative on Malnutrition criteria define reduced muscle mass as undernutrition. Malnutrition diagnosed based on the Global Leadership Initiative on Malnutrition criteria is an important risk factor for postoperative complications and also an independent poor prognostic factor for long-term outcomes; greater severity of malnutrition is associated with poorer outcomes. The current Global Leadership Initiative on Malnutrition criteria for malnutrition accurately predict outcomes, including postoperative complications and long-term prognosis; however, a revision may be warranted to ensure consistency with the diagnostic criteria for sarcopenia. Patients diagnosed with malnutrition based on the Global Leadership Initiative on Malnutrition criteria should be targeted for nutritional intervention. Further accumulation of evidence is necessary to conclusively establish the role of nutritional interventions in patients with malnutrition to improve postoperative complications and long-term outcomes.
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Affiliation(s)
- Ryota Matsui
- Department of Surgery, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu City, Chiba, 279-0021, Japan.
- Department of Gastroenterology and Minimally Invasive Surgery, Juntendo University Hospital, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
| | - Kazuma Rifu
- Division of Gastroenterological, General and Transplant Surgery, Department of Surgery, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke City, Tochigi, 329-0498, Japan
| | - Jun Watanabe
- Division of Gastroenterological, General and Transplant Surgery, Department of Surgery, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke City, Tochigi, 329-0498, Japan
- Center for Community Medicine, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke City, Tochigi, 329-0498, Japan
| | - Noriyuki Inaki
- Department of Gastrointestinal Surgery/Breast Surgery, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa City, Ishikawa, 920-8641, Japan
| | - Tetsu Fukunaga
- Department of Gastroenterology and Minimally Invasive Surgery, Juntendo University Hospital, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan
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11
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Nishioka S. Current Understanding of Sarcopenia and Malnutrition in Geriatric Rehabilitation. Nutrients 2023; 15:nu15061426. [PMID: 36986156 PMCID: PMC10056038 DOI: 10.3390/nu15061426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 03/18/2023] Open
Abstract
Malnutrition and sarcopenia are different but common conditions in older adults that share some underlying causes, including age-related physiological changes, decreased food intake, acute or chronic inflammation [...]
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Affiliation(s)
- Shinta Nishioka
- Department of Clinical Nutrition and Food Management, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima 770-8503, Japan; ; Tel.: +81-88-633-7095
- Department of Clinical Nutrition and Food Services, Nagasaki Rehabilitation Hospital, Tokushima 770-8503, Japan
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12
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Chen M, Wang X, Han M, Li Y, Yu N, Long X, Chen W. Temporal and periorbital depressions identified by 3D images are correlated with malnutrition phenotypes in cancer patients: A pilot study. Front Nutr 2023; 10:1115079. [PMID: 36992909 PMCID: PMC10042485 DOI: 10.3389/fnut.2023.1115079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 02/10/2023] [Indexed: 03/14/2023] Open
Abstract
BackgroundPrompt diagnosis of malnutrition and appropriate interventions can substantially improve the prognosis of patients with cancer; however, it is difficult to unify the tools for screening malnutrition risk. 3D imaging technology has been emerging as an approach to assisting in the diagnosis of diseases, and we designed this study to explore its application value in identifying the malnutrition phenotype and evaluating nutrition status.MethodsHospitalized patients treating with maintenance chemotherapy for advanced malignant tumor of digestive system were recruited from the Department of Oncology, whose NRS 2002 score > 3. Physical examination and body composition data of patients at risk for malnutrition were analyzed by physicians trained to complete a subjective global assessment. The facial depression index was recognized using the Antera 3D® system, temporal and periorbital depression indexes were acquired using the companion software Antera Pro. This software captures quantitative data of depression volume, affected area, and maximum depth of temporal and periorbital concave areas.ResultsA total of 53 inpatients with malnutrition-related indicators were included. The volume of temporal depression was significantly negatively correlated with upper arm circumference (r = −0.293, p = 0.033) and calf circumference (r = −0.285, p = 0.038). The volume and affected area of periorbital depression were significantly negatively correlated with fat mass index (r = −0.273, p = 0.048 and r = −0.304, p = 0.026, respectively) and percent body fat (r = −0.317, p = 0.021 and r = −0.364, p = 0.007, respectively). The volume and affected area of temporal depression in patients with muscle loss phenotype (low arm circumference/low calf circumference/low handgrip strength/low fat-free mass index) were significantly higher than those in patients without muscle loss. Moreover, patients with fat mass loss phenotype (low fat mass index) showed a significant increase in the volume and affected area of periorbital depression.ConclusionThe facial temporal region, and periorbital depression indicators extracted by 3D image recognition technology were significantly associated with the phenotype of malnutrition-related muscle and fat loss and showed a trend of grade changes in the population of different subjective global assessment nutritional classifications.
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Affiliation(s)
- Moxi Chen
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xue Wang
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Meifen Han
- Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Yunzhu Li
- Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Nanze Yu
- Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Xiao Long
- Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China
- Xiao Long,
| | - Wei Chen
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- *Correspondence: Wei Chen,
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13
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Matsui R, Rifu K, Watanabe J, Inaki N, Fukunaga T. Impact of malnutrition as defined by the GLIM criteria on treatment outcomes in patients with cancer: A systematic review and meta-analysis. Clin Nutr 2023; 42:615-624. [PMID: 36931162 DOI: 10.1016/j.clnu.2023.02.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 02/01/2023] [Accepted: 02/20/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND & AIMS Malnutrition has been reported to lead to poor postoperative outcomes. The Global Leadership Initiative on Malnutrition (GLIM) criteria were published in 2019 as a global consensus on the criteria for diagnosing malnutrition. However, the relationship between GLIM-defined malnutrition and treatment outcomes in patients with cancer has not been fully investigated. Therefore, this study aimed to clarify the impact of GLIM-defined malnutrition on the treatment outcomes of patients with cancer. METHODS We searched MEDLINE, the Cochrane Central Register of Controlled Trials, EMBASE, the World Health Organization International Clinical Trials Platform Search Portal, and ClinicalTrials.gov and identified observational studies published from inception to January 17, 2022. We conducted a systematic review and random-effects meta-analysis studies that included patients with cancer aged >18 years who received any kind of treatment and whose nutritional status was assessed using GLIM criteria. We independently assessed the risk of bias and quality of evidence using Quality In Prognosis Studies and Grading of Recommendations, Assessment, Development, and Evaluation approach. The primary outcomes were overall survival (OS) and postoperative complications. Hazard ratios and 95% confidence intervals (CIs) for OS and relative risk ratios and 95% CIs for postoperative complications were pooled. The protocol was published by PROSPERO (CRD42022304004). RESULTS Of 67 studies after screening, ten studies (n = 11,700) reported the impact of GLIM-defined malnutrition on postoperative outcomes. Compared with no malnutrition, GLIM-defined malnutrition may worsen OS (hazard ratio, 1.56; 95% CI, 1.38-1.75; I2 = 37%) and increase postoperative complications (relative risk ratio, 1.82; 95% CI, 1.28-2.60; I2 = 87%). The risk of bias in each study was either moderate or high. The certainty of the evidence was low because of publication bias and a moderate or high risk of bias. CONCLUSIONS GLIM-defined malnutrition may worsen OS and increase the risk of postoperative complications in patients with cancer undergoing treatment. Further studies are needed to confirm these findings and mitigate this risk.
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Affiliation(s)
- Ryota Matsui
- Department of Surgery, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu City, Chiba 279-0021, Japan; Department of Upper Gastrointestinal Surgery, Juntendo University Hospital, 3-1-3 Hongo, Bunkyo-ku, Tokyo 113-8431, Japan; Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo 135-8550, Japan.
| | - Kazuma Rifu
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke City, Tochigi 329-0498, Japan.
| | - Jun Watanabe
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke City, Tochigi 329-0498, Japan; Center for Community Medicine, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke City, Tochigi 329-0498, Japan.
| | - Noriyuki Inaki
- Department of Upper Gastrointestinal Surgery, Juntendo University Hospital, 3-1-3 Hongo, Bunkyo-ku, Tokyo 113-8431, Japan; Department of Gastrointestinal Surgery/Breast Surgery, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa City, Ishikawa 920-8641, Japan.
| | - Tetsu Fukunaga
- Department of Upper Gastrointestinal Surgery, Juntendo University Hospital, 3-1-3 Hongo, Bunkyo-ku, Tokyo 113-8431, Japan.
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14
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Díaz G, T D Correia MI, Gonzalez MC, Reyes M. The global leadership initiative on malnutrition criteria for the diagnosis of malnutrition in patients admitted to the intensive care unit: A systematic review and meta-analysis. Clin Nutr 2023; 42:182-189. [PMID: 36599273 DOI: 10.1016/j.clnu.2022.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 12/03/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Malnutrition is associated with a high risk of morbidity and mortality in patients with critical illness. The nutrition status of patients in the intensive care unit (ICU) is challenging to assess. The Global Leadership Initiative on Malnutrition (GLIM) is a novel framework used for the diagnosis of malnutrition. However, its efficacy in patients with critical illness in the ICU has not been validated. AIM To investigate the use and validity of the GLIM criteria in adult patients admitted to the ICU. METHODS A systematic review and meta-analysis were performed, and seven databases were searched for relevant studies. The selection criteria included studies that used the GLIM in adult patients admitted to the ICU. Quality assessment was performed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. RESULTS Five studies were included in the analysis. Approximately 15%-68% of patients were diagnosed with malnutrition using the GLIM criteria. Meanwhile, 48%-75% of patients with malnutrition were identified with the Subjective Global Assessment (SGA). The inflammation criterion was easily adjudicated due to critical status, and three studies compared the GLIM and the SGA. According to the QUADAS-2 tool, the nutritional assessment process was not explicit in the studies. The meta-analysis had an overall sensitivity of 65.3% (95% CI: 34.9%-86.9%) and an overall specificity of 88.8% (95% CI: 58.1%-97.8%). In the prospective validation, malnutrition assessed by the GLIM criteria, and the SGA was associated with mortality. However, the association between length of hospital stay and mechanical ventilation was unclear. CONCLUSIONS The use and validity of the GLIM criteria among patients admitted to the ICU is still limited. Moreover, some concurrent and predictive validation studies have methodological limitations. Further studies must be performed to validate the use of the GLIM criteria in the ICU.
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Affiliation(s)
- Gustavo Díaz
- Research Institute on Nutrition, Genetics, and Metabolism, School of Medicine, Universidad El Bosque, Bogota, Colombia; Research in Colombia Foundation. Bogota, Colombia.
| | - Maria Isabel T D Correia
- Department of Surgery, School of Medicine, Universidad de Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
| | - Maria Cristina Gonzalez
- Postgraduate Program in Health and Behavior, Catholic University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
| | - Mariana Reyes
- Research Institute on Nutrition, Genetics, and Metabolism, School of Medicine, Universidad El Bosque, Bogota, Colombia.
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15
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Zhou L, Fu J, Ding Z, Jin K, Wu R, Ye LX. Comparison of GLIM, SGA, PG-SGA, and PNI in diagnosing malnutrition among hepatobiliary-pancreatic surgery patients. Front Nutr 2023; 10:1116243. [PMID: 36761215 PMCID: PMC9902504 DOI: 10.3389/fnut.2023.1116243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 01/09/2023] [Indexed: 01/25/2023] Open
Abstract
Objective To compare the diagnostic value of four tools-the Global Leadership Initiative on Malnutrition (GLIM) criteria, the subjective global assessment (SGA), patient-generated subjective global assessment (PG-SGA), and prognostic nutritional index (PNI) in malnutrition among hospitalized patients undergoing hepatobiliary-pancreatic surgery. Meanwhile, to observe the nutritional intervention of these patients. Methods Present study was a cross-sectional study, including 506 hospitalized patients who underwent hepatobiliary-pancreatic surgery between December 2020 and February 2022 at Ningbo Medical Center Lihuili Hospital, China. The incidence rate of malnutrition was diagnosed using the four tools. The consistency of the four tools was analyzed by Cohen's kappa statistic. Data, including nutritional characteristics and nutritional interventions, were collected. The nutritional intervention was observed according to the principles of Five Steps Nutritional Treatment. Results The prevalence was 36.75, 44.58, and 60.24%, as diagnosed by the GLIM, PG-SGA, and PNI, respectively, among 332 tumor patients. Among the 174 non-tumor patients, the prevalence was 9.77, 10.92, and 32.18% as diagnosed by the GLIM, SGA, and PNI. The diagnostic concordance of PG-SGA and GLIM was higher (Kappa = 0.814, <0.001) than SGA vs. GLIM (Kappa = 0.752, P < 0.001) and PNI vs. GLIM (Kappa = 0.265, P < 0.001). The univariate analysis revealed that older age, lower BMI and tumorous were significantly associated with nutritional risks and malnutrition. Among 170 patients with nutritional risk, most of patients (118/170, 69.41%) did not meet the nutritional support standard. Conclusion The incidence of nutritional risk and malnutrition is high among patients with hepatobiliary and pancreatic diseases, specifically those with tumors. The GLIM showed the lowest prevalence of malnutrition among the four tools. The PG-SGA and GLIM had a relative high level of agreement. There was a low proportion of nutritional support in patients. More prospective and well-designed cohort studies are needed to confirm the relevance of these criteria in clinical practice in the future.
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Affiliation(s)
- Lingmei Zhou
- Clincal Nutrition Department, Ningbo Medical Center Li Huili Hospital, Ningbo, Zhejiang, China
| | - Jianying Fu
- Department of Hepatobiliary-Pancreatic Surgery, Ningbo Medical Center Li Huili Hospital, Ningbo, Zhejiang, China
| | - Zhen Ding
- Clincal Nutrition Department, Ningbo Medical Center Li Huili Hospital, Ningbo, Zhejiang, China
| | - Kemei Jin
- Clincal Nutrition Department, Ningbo Medical Center Li Huili Hospital, Ningbo, Zhejiang, China
| | - Runjingxing Wu
- Clincal Nutrition Department, Ningbo Medical Center Li Huili Hospital, Ningbo, Zhejiang, China
| | - Ling Xiao Ye
- Nursing Department, Ningbo Medical Center Li Huili Hospital, Ningbo, Zhejiang, China,*Correspondence: Ling Xiao Ye ✉
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Cotogni P, Bozzetti F, Goldwasser F, Jimenez-Fonseca P, Roelsgaard Obling S, Valle JW. Supplemental parenteral nutrition in cancer care: why, who, when. Ther Adv Med Oncol 2022; 14:17588359221113691. [PMID: 36188487 PMCID: PMC9520136 DOI: 10.1177/17588359221113691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 06/28/2022] [Indexed: 11/15/2022] Open
Abstract
Malnutrition is an often-overlooked challenge for patients with cancer. It is associated with muscle mass reduction, poor compliance and response to cancer treatments, decreased quality of life, and reduced survival time. The nutritional assessment and intervention should be a vital part of any comprehensive cancer treatment plan. However, data on artificial nutrition supplied based on caloric needs during cancer care are scarce. In this review, we discuss the recommendations of the European and American societies for clinical nutrition on the use of nutritional interventions in malnourished patients with cancer in the context of current clinical practice. In particular, when enteral nutrition (oral or tube feeding) is not feasible or fails to meet the complete nutritional needs, supplemental parenteral nutrition (SPN) can bridge the gap. We report the available evidence on SPN in cancer patients and identify the perceived barriers to the wider application of this intervention. Finally, we suggest a ‘permissive’ role of SPN in cancer care but highlight the need for rigorous clinical studies to further evaluate the use of SPN in different populations of cancer patients.
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Affiliation(s)
- Paolo Cotogni
- Pain Management and Palliative Care, Department of Anesthesia, Intensive Care and Emergency, Molinette Hospital, University of Turin, Corso Bramante 88-90, Turin 10126, Italy
| | | | - François Goldwasser
- Medical Oncology Department, URP 4466, Cochin Hospital, AP-HP, Paris University, Paris, France
| | - Paula Jimenez-Fonseca
- Medical Oncology Department, Asturias Central University Hospital, ISPA, Oviedo, Spain
| | - Sine Roelsgaard Obling
- Department of Medical Gastroenterology, Odense University Hospital, University of Southern Denmark, Odense, Denmark
| | - Juan W Valle
- Division of Cancer Sciences, The University of Manchester, Manchester, UK.,Department of Medical Oncology, The Christie NHS Foundation Trust, Manchester, UK
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17
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Ruan X, Wang X, Zhang Q, Nakyeyune R, Shao Y, Shen Y, Niu C, Zhu L, Zang Z, Wei T, zhang X, Ruan G, Song M, Miles T, Liu F, Shi H. The performance of three nutritional tools varied in colorectal cancer patients: a retrospective analysis. J Clin Epidemiol 2022; 149:12-22. [DOI: 10.1016/j.jclinepi.2022.04.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/07/2022] [Accepted: 04/28/2022] [Indexed: 11/25/2022]
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18
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López-Gómez JJ, Benito-Sendín Plaar K, Izaola-Jauregui O, Primo-Martín D, Gómez-Hoyos E, Torres-Torres B, De Luis-Román DA. Muscular Ultrasonography in Morphofunctional Assessment of Patients with Oncological Pathology at Risk of Malnutrition. Nutrients 2022; 14:1573. [PMID: 35458134 PMCID: PMC9025957 DOI: 10.3390/nu14081573] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/06/2022] [Accepted: 04/08/2022] [Indexed: 02/06/2023] Open
Abstract
Background: Muscular ultrasonography is a technique that allows assessing the amount and quality of muscle in a specific body region. The aim of the study was to compare the value of muscle ultrasonography in diagnosis of malnutrition with techniques such as anthropometry, handgrip strength and impedanciometry in patients with oncological pathology. Methods: Cross-sectional study in 43 patients with oncological pathology and high nutritional risk. Classical anthropometry (body mass index (BMI), arm circumference (AC), calf circumference (CC) and estimated appendicular muscle mass index (ASMI)) was performed. Body composition was measured with impedanciometry (BIA), phase angle (PA) and fat-free mass index (FFMI) and muscle ultrasonography of quadriceps rectus femoris (muscle area (MARA) and circumference (MCR) in section transverse). Malnutrition was diagnosed using the GLIM criteria and sarcopenia was assessed using EWGSOP2 criteria. Results: The mean age was 68.26 years (±11.88 years). In total, 23/20 of the patients were men/women. The BMI was 23.51 (4.75) kg/m2. The ASMI was 6.40 (1.86) kg/m2. The MARA was 3.31 cm2 in ultrasonography. In impedanciometry, phase angle was 4.91 (0.75)°; the FFMI was 17.01 kg/m2 (±2.65 kg/m2). A positive correlation was observed between the MARA with anthropometric measurements (AC: r = 0.39, p = 0.009; CC: r = 0.44, p < 0.01; ASMI: r = 0.47, p < 0.001); and with BIA (FFMI: r = 0.48, p < 0.01 and PA: r = 0.45, p < 0.001). Differences were observed when comparing the MARA based on the diagnosis of sarcopenia (Sarcopenia: 2.47 cm2 (±0.54 cm2); no sarcopenia: 3.65 cm2 (±1.34 cm2); p = 0.02). Conclusions: Muscle ultrasonography correlates with body composition measurement techniques such as BIA and anthropometry in patients with cancer.
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Affiliation(s)
- Juan J López-Gómez
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
- Centro de Investigación en Endocrinología y Nutrición (IENVA), Universidad de Valladolid, 47002 Valladolid, Spain
| | - Katia Benito-Sendín Plaar
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
- Centro de Investigación en Endocrinología y Nutrición (IENVA), Universidad de Valladolid, 47002 Valladolid, Spain
| | - Olatz Izaola-Jauregui
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
- Centro de Investigación en Endocrinología y Nutrición (IENVA), Universidad de Valladolid, 47002 Valladolid, Spain
| | - David Primo-Martín
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
- Centro de Investigación en Endocrinología y Nutrición (IENVA), Universidad de Valladolid, 47002 Valladolid, Spain
| | - Emilia Gómez-Hoyos
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
- Centro de Investigación en Endocrinología y Nutrición (IENVA), Universidad de Valladolid, 47002 Valladolid, Spain
| | - Beatriz Torres-Torres
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
- Centro de Investigación en Endocrinología y Nutrición (IENVA), Universidad de Valladolid, 47002 Valladolid, Spain
| | - Daniel A De Luis-Román
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
- Centro de Investigación en Endocrinología y Nutrición (IENVA), Universidad de Valladolid, 47002 Valladolid, Spain
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19
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Huo Z, Chong F, Yin L, Lu Z, Liu J, Xu H. Accuracy of the GLIM criteria for diagnosing malnutrition: A systematic review and meta-analysis. Clin Nutr 2022; 41:1208-1217. [DOI: 10.1016/j.clnu.2022.04.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/05/2022] [Accepted: 04/05/2022] [Indexed: 01/04/2023]
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20
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Takimoto M, Yasui-Yamada S, Nasu N, Kagiya N, Aotani N, Kurokawa Y, Tani-Suzuki Y, Kashihara H, Saito Y, Nishi M, Shimada M, Hamada Y. Development and Validation of Cutoff Value for Reduced Muscle Mass for GLIM Criteria in Patients with Gastrointestinal and Hepatobiliary-Pancreatic Cancers. Nutrients 2022; 14:943. [PMID: 35267918 PMCID: PMC8912591 DOI: 10.3390/nu14050943] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/18/2022] [Accepted: 02/21/2022] [Indexed: 11/16/2022] Open
Abstract
The Global Leadership Initiative on Malnutrition (GLIM) criteria recommends using race- and sex-adjusted cutoff values for reduced muscle mass (RMM), but the only cutoff values available for Asians are the skeletal muscle mass index (SMI) established by the Asian Working Group for Sarcopenia (AWGS). This retrospective study aimed to develop and validate cutoff values for the fat-free mass index (FFMI) and arm circumference (AC) of Asians, and to investigate the association between GLIM malnutrition and prognosis. A total of 660 patients with primary gastrointestinal (GI) and hepatobiliary-pancreatic (HBP) cancers who underwent their first resection surgery were recruited and randomly divided into development and validation groups. The FFMI and AC cutoff values were calculated by receiver operating characteristic curve analysis for the AWGS SMI as the gold standard. The cutoff values for each RMM were used to diagnose malnutrition on the basis of GLIM criteria, and the survival rates were compared. The optimal FFMI cutoff values for RMM were 17 kg/m2 for men and 15 kg/m2 for women, and for AC were 27 cm for men and 25 cm for women. In the validation group, the accuracy of the FFMI and AC cutoff values to discriminate RMM were 85.2% and 68.8%, respectively. Using any of the three measures of RMM, overall survival rates were significantly lower in the GLIM malnutrition group. In conclusion, the cutoff values for the FFMI and AC in this study could discriminate RMM, and GLIM malnutrition using these cutoff values was associated with decreased survival.
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Affiliation(s)
- Mami Takimoto
- Department of Therapeutic Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (M.T.); (N.N.); (N.K.); (N.A.); (Y.K.); (Y.T.-S.); (Y.S.); (Y.H.)
| | - Sonoko Yasui-Yamada
- Department of Therapeutic Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (M.T.); (N.N.); (N.K.); (N.A.); (Y.K.); (Y.T.-S.); (Y.S.); (Y.H.)
| | - Nanami Nasu
- Department of Therapeutic Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (M.T.); (N.N.); (N.K.); (N.A.); (Y.K.); (Y.T.-S.); (Y.S.); (Y.H.)
| | - Natsumi Kagiya
- Department of Therapeutic Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (M.T.); (N.N.); (N.K.); (N.A.); (Y.K.); (Y.T.-S.); (Y.S.); (Y.H.)
| | - Nozomi Aotani
- Department of Therapeutic Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (M.T.); (N.N.); (N.K.); (N.A.); (Y.K.); (Y.T.-S.); (Y.S.); (Y.H.)
| | - Yumiko Kurokawa
- Department of Therapeutic Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (M.T.); (N.N.); (N.K.); (N.A.); (Y.K.); (Y.T.-S.); (Y.S.); (Y.H.)
| | - Yoshiko Tani-Suzuki
- Department of Therapeutic Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (M.T.); (N.N.); (N.K.); (N.A.); (Y.K.); (Y.T.-S.); (Y.S.); (Y.H.)
| | - Hideya Kashihara
- Department of Digestive Surgery and Transplantation, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (H.K.); (M.N.); (M.S.)
| | - Yu Saito
- Department of Therapeutic Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (M.T.); (N.N.); (N.K.); (N.A.); (Y.K.); (Y.T.-S.); (Y.S.); (Y.H.)
- Department of Digestive Surgery and Transplantation, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (H.K.); (M.N.); (M.S.)
| | - Masaaki Nishi
- Department of Digestive Surgery and Transplantation, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (H.K.); (M.N.); (M.S.)
| | - Mitsuo Shimada
- Department of Digestive Surgery and Transplantation, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (H.K.); (M.N.); (M.S.)
| | - Yasuhiro Hamada
- Department of Therapeutic Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan; (M.T.); (N.N.); (N.K.); (N.A.); (Y.K.); (Y.T.-S.); (Y.S.); (Y.H.)
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21
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Zhang Z, Wan Z, Zhu Y, Wan H. Predictive validity of the GLIM criteria in treatment outcomes in cancer patients with radiotherapy. Clin Nutr 2022; 41:855-861. [DOI: 10.1016/j.clnu.2022.02.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 01/17/2022] [Accepted: 02/12/2022] [Indexed: 11/12/2022]
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22
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Application of the GLIM criteria in patients with intestinal insufficiency and intestinal failure at nutritional risk on admission. Eur J Clin Nutr 2022; 76:1003-1009. [DOI: 10.1038/s41430-022-01084-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 01/07/2022] [Accepted: 01/12/2022] [Indexed: 11/09/2022]
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23
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SOUZA FGD, MARIN FA, SILVA WRD, SPEXOTO MCB. Accuracy of the Global Leadership Initiative on Malnutrition to identify malnutrition in hospitalized patients. REV NUTR 2022. [DOI: 10.1590/1678-9865202235e220048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
ABSTRACT Objective: The Global Leadership Initiative on Malnutrition, introduced as a useful method in the diagnosis of malnutrition, is supported by little evidence in hospitalized individuals. Therefore, we reviewed this method with two objectives: 1) to compare the diagnostic accuracy of the Global Leadership Initiative on Malnutrition criteria with the Patient-Generated Subjective Global Assessment; 2) to determine the prevalence of malnutrition and its associated factors. Methods: Cross-sectional study, conducted with individuals hospitalized between April 2019 and July 2021. Sociodemographic, clinical and anthropometric information was investigated. Global Leadership Initiative on Malnutrition was the index test and Patient-Generated Subjective Global Assessment the standard reference to assess malnutrition. For diagnostic accuracy, measurements of sensitivity, specificity, area under the curve and kappa agreement were considered. Results: A total of 105 individuals participated (age 65.9±9.9 years). The prevalence of malnutrition in the total sample was 48.6% and 67.6% according to the Global Leadership Initiative on Malnutrition and Patient-Generated Subjective Global Assessment criteria, respectively. An association was observed between malnutrition and the variables that stand behind hospitalization, metabolic stress and anthropometric indicators (p<0.05). The comparison showed sensitivity and specificity values for the Global Leadership Initiative on Malnutrition criteria of 67.6% (95% CI: 56.1-77.3) and 91.2% (95% CI: 77.0-96.9) (total sample) and 71.7% (95% CI: 58.4-82.0) and 95.5% (95% CI: 78.2-99.2) (elderly), respectively. An agreement of 49% was observed, raising to 55% when the elderly were assessed separately. Conclusion: The Global Leadership Initiative on Malnutrition criteria presented adequate sensitivity conditions and specificity to diagnose malnutrition, moderate agreement with the reference standard and good applicability in hospitalized patients’ clinical practice. Prevalence of malnutrition was high, regardless of the method used, and was associated with the reason for hospitalization, metabolic stress and anthropometric indicators.
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