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Li J, Jiang M, Hua X, Xu H, Wu M, Wu J, Liu S, Shi H, Meng Q. Reduced muscle mass is an important part of Global Leadership Initiative on Malnutrition criteria in nutritional diagnosis of hepatocellular carcinoma. BMC Gastroenterol 2024; 24:358. [PMID: 39390428 PMCID: PMC11465919 DOI: 10.1186/s12876-024-03438-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 09/26/2024] [Indexed: 10/12/2024] Open
Abstract
BACKGROUND The Global Leadership Initiative on Malnutrition criteria (GLIM) was established to build a global consensus on the diagnostic criteria for malnutrition. The study aimed to assess the prevalence of the malnutrition diagnosed by GLIM criteria for patients with hepatocellular carcinoma (HCC), and to determine the role of the reduced muscle mass defined by CT scans in the GLIM criteria. METHODS This cohort research was conducted on adult cirrhotic patients with HCC. The risk of malnutrition was screened by Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. The third lumbar vertebrae (L3-SMI) were used to represent the muscle mass in GLIM criteria. The variables associated with overall mortality were assessed by multivariate Cox regression analyses. RESULTS The incidence of malnutrition diagnosed by GLIM criteria was 49.7% (179/360) in patients with HCC. If reduced muscle mass was not included in GLIM criteria, the prevalence of malnutrition was 31.7% (114/360). GLIM-defined malnutrition (HR = 1.979, 95%CI 1.019-3.841, P = 0.044) was independently associated with overall mortality in patients with HCC. However, the GLIM-defined malnutrition (without muscle mass) was not associated with overall mortality (HR = 0.863, 95%CI 0.399-1.867, P = 0.709). CONCLUSIONS Skeletal muscle mass is an integral component of the GLIM criteria for patients with HCC. The malnutrition is common in patients with HCC, and malnourishment is associated with higher overall mortality. GLIM criteria are recommended to assess the nutritional status of hospitalized patients with HCC, which is recommended and can be used as the basis for nutritional interventions.
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Affiliation(s)
- Juan Li
- Department of Clinical Oncology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Minjie Jiang
- Department of Clinical Oncology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Xin Hua
- Department of Nutrition, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Hongxia Xu
- Department of Nutrition, Daping Hospital & Research Institute of Surgery, Third Military Medical University, Chongqing, China
| | - Muchen Wu
- Department of Clinical Oncology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Jing Wu
- Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Songtao Liu
- Department of Clinical Oncology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Hanping Shi
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, China
| | - Qinghua Meng
- Department of Clinical Oncology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
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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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Luo X, Cai B, Jin W. A modified GLIM criteria-based nomogram for the survival prediction of gastric cancer patients undergoing surgical resection. BMC Gastroenterol 2024; 24:307. [PMID: 39261751 PMCID: PMC11389597 DOI: 10.1186/s12876-024-03395-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 08/29/2024] [Indexed: 09/13/2024] Open
Abstract
BACKGROUND This study aimed to develop a comprehensive model based on five GLIM variables to predict the individual survival and provide more appropriate patient counseling. METHODS This retrospective cohort study included 301 gastric cancer (GC) patients undergoing radical resection. C-reactive protein (CRP) as an inflammatory marker was included in GLIM criteria and a nomogram for predicting 5-year overall survival (OS) in GC patients was established. The Bootstrap repeated sampling for 1000 times was used for internal validation. RESULTS Of the total 301 patients, 20 (6.64%) died within 5 years. CRP improved the sensitivity and accuracy of the survival prediction model (AUC = 0.782, 0.694 to 0.869 for the model without CRP; AUC = 0.880, 0.809 to 0.950 for the model adding CRP). Besides, a GLIM-based nomogram was established with an AUC of 0.889. The C-index for predicting OS was 0.878 (95% CI: 0.823 to 0.934), and the calibration curve fitted well. Decision curve analysis (DCA) showed the clinical utility of the nomogram based on GLIM. CONCLUSION The addition of CRP improved the sensitivity and accuracy of the survival prediction model. The 5-year survival probability of GC patients undergoing radical resection can be reliably predicted by the nomogram presented in this study.
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Affiliation(s)
- Xi Luo
- Department of Clinical Nutrition, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, China.
| | - Bin Cai
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China.
- Shaoxing People's Hospital, Shaoxing, 312000, China.
| | - Weiwei Jin
- Department of Clinical Nutrition, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, China
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Chong F, Huo Z, Yin L, Liu J, Li N, Guo J, Fan Y, Zhang M, Zhang L, Lin X, Chen J, Zhou C, Li S, Zhou F, Yao Q, Guo Z, Weng M, Liu M, Li T, Li Z, Cui J, Li W, Shi H, Guo W, Xu H. Value of the modified Patient-Generated Subjective Global Assessment in indicating the need for nutrition intervention and predicting overall survival in patients with malignant tumors in at least two organs. Nutr Clin Pract 2024; 39:920-933. [PMID: 38460962 DOI: 10.1002/ncp.11140] [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: 05/31/2023] [Revised: 01/27/2024] [Accepted: 02/04/2024] [Indexed: 03/11/2024] Open
Abstract
BACKGROUND Although the Patient-Generated Subjective Global Assessment (PG-SGA) is a reference standard used to assess a patient's nutrition status, it is cumbersome to administer. The aim of the present study was to estimate the value of a simpler and easier-to-use modified PG-SGA (mPG-SGA) to evaluate the nutrition status and need for intervention in patients with malignant tumors present in at least two organs. METHODS A total of 591 patients (343 male and 248 female) were included from the INSCOC study. A Pearson correlation analysis was conducted to assess the correlation between the mPG-SGA and nutrition-related factors, with the optimal cut-off defined by a receiver operating characteristic curve (ROC). The consistency between the mPG-SGA and PG-SGA was compared in a concordance analysis. A survival analysis was used to determine the effects of nutritional intervention among different nutrition status groups. Univariable and multivariable Cox analyses were applied to evaluate the association of the mPG-SGA with the all-cause mortality. RESULTS The mPG-SGA showed a negative association with nutrition-related factors. Individuals with an mPG-SGA ≥ 5 (rounded from 4.5) were considered to need nutritional intervention. Among the malnourished patients (mPG-SGA ≥ 5), the overall survival (OS) of those who received nutrition intervention was significantly higher than that of patients who did not. However, the OS was not significantly different in the better-nourished patients (mPG-SGA < 5). CONCLUSION Our findings support that the mPG-SGA is a feasible tool that can be used to guide nutritional interventions and predict the survival of patients with malignant tumors affecting at least two organs.
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Affiliation(s)
- Feifei Chong
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhenyu Huo
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Liangyu Yin
- Institute of Hepatopancreatobiliary Surgery, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jie Liu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Na Li
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jing Guo
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yang Fan
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Mengyuan Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ling Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xin Lin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Junqiang Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Chunling Zhou
- Department of Clinical Nutrition, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Suyi Li
- Department of Nutrition and Metabolism of Oncology, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, China
| | - Fuxiang Zhou
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Qinghua Yao
- Department of Integrated Chinese and Western Medicine, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Zengqing Guo
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Min Weng
- Department of Clinical Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Ming Liu
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Tao Li
- Department of Radiotherapy, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Zengning Li
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Jiuwei Cui
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Wei Li
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Hanping Shi
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Wei Guo
- Department of Thoracic Surgery, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Hongxia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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Yuan Z, Jiang C, Lao G, Zhang Y, Wang C, Zhu Y, Chen C, Ran J, Wang C, Zhu P. Effectiveness of Global Leadership Initiative on Malnutrition and Subjective Global Assessment for diagnosing malnutrition and predicting wound healing in patients with diabetic foot ulcers. Br J Nutr 2024; 132:21-30. [PMID: 38634368 DOI: 10.1017/s0007114524000874] [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] [Indexed: 04/19/2024]
Abstract
Malnutrition significantly hampers wound healing processes. This study aimed to compare the effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) and Subjective Global Assessment (SGA) in diagnosing malnutrition and predicting wound healing in patients with diabetic foot ulcers (DFU). GLIM criteria were evaluated for sensitivity (SE), specificity (SP), positive predictive value, negative predictive value and kappa (κ) against SGA as the reference. Modified Poisson regression model and the DeLong test investigated the association between malnutrition and non-healing ulcers over 6 months. This retrospective cohort study included 398 patients with DFU, with a mean age of 66·3 ± 11·9 years. According to SGA and GLIM criteria, malnutrition rates were 50·8 % and 42·7 %, respectively. GLIM criteria showed a SE of 67·3 % (95 % CI 60·4 %, 73·7 %) and SP of 82·7 % (95 % CI 76·6 %, 87·7 %) in identifying malnutrition, with a positive predictive value of 80·0 % and a negative predictive value of 71·1 % (κ = 0·50) compared with SGA. Multivariate analysis demonstrated that malnutrition, as assessed by SGA, was an independent risk factor for non-healing (relative risk (RR) 1·84, 95 % CI 1·45, 2·34), whereas GLIM criteria were associated with poorer ulcer healing in patients with estimated glomerular filtration rate ≥ 60 ml/min/1·73m2 (RR: 1·46, 95 % CI 1·10, 1·94). SGA demonstrated a superior area under the receiver's operating characteristic curve for predicting non-healing compared with GLIM criteria (0·70 (0·65-0·75) v. 0·63 (0·58-0·65), P < 0·01). These findings suggest that both nutritional assessment tools effectively identify patients with DFU at increased risk, with SGA showing superior performance in predicting non-healing ulcers.
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Affiliation(s)
- Zhimin Yuan
- Department of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Chunjie Jiang
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, People's Republic of China
| | - Guojuan Lao
- Department of Endocrinology and Metabolism, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Yan Zhang
- Department of Endocrinology and Metabolism, Shenshan Medical Center, Memorial Hospital of Sun Yat-sen University, Shanwei, People's Republic of China
| | - Chunying Wang
- Department of Endocrinology and Metabolism, Shenshan Medical Center, Memorial Hospital of Sun Yat-sen University, Shanwei, People's Republic of China
| | - Yingying Zhu
- Department of Endocrinology and Metabolism, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Chaogang Chen
- Department of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Jianmin Ran
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, People's Republic of China
| | - Chengzhi Wang
- Department of Endocrinology and Metabolism, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Ping Zhu
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, People's Republic of China
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Rong H, Li F, Liu C, Zhou L, Zhong H, Li L, Xiao T, Xiao R, Chen X. Nutritional Management of Lung Cancer Patients Undergoing Chemotherapy: A Qualitative Exploration of Patients' and Healthcare Professionals' Perspectives. Semin Oncol Nurs 2024:151657. [PMID: 38816314 DOI: 10.1016/j.soncn.2024.151657] [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: 01/18/2024] [Revised: 05/08/2024] [Accepted: 05/08/2024] [Indexed: 06/01/2024]
Abstract
OBJECTIVES To describe the experiences of lung cancer patients undergoing chemotherapy in nutrition management and the problems in the process of implementing nutrition management for patients by healthcare professionals. METHODS This is a qualitative descriptive study. Qualitative data were collected through semistructured interviews with lung cancer patients undergoing chemotherapy (N = 16) and healthcare professionals (N = 24) from the oncology department at three tertiary grade A hospitals. RESULTS Three themes emerged from the patients' interviews: deficiency in nutritional management capabilities; barriers to implementing nutritional management; incentives to implementing nutritional management. Five themes emerged from the healthcare professionals' interviews: insufficient attention to nutritional management of lung cancer patients undergoing chemotherapy; lack of standardization in nutritional management; inadequate support for nutritional management; weak multidisciplinary awareness; poor compliance from patients and their families. CONCLUSIONS The nutritional management of lung cancer patients undergoing chemotherapy is a complicated and vital process that requires the joint efforts of healthcare professionals and patients. Formulating corresponding strategies from multiple perspectives is suggested to provide targeted nutritional guidance for patients. IMPLICATION FOR NURSING PRACTICE This study can help nurses better understand the nutritional management needs and challenges of patients to provide individualized nutritional guidance to patients. Meanwhile, the study also found the existing problems of nutrition management in clinical work, which can help nurses to reflect on and better participate in the nutrition management of patients.
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Affiliation(s)
- Huan Rong
- School of Nursing, Chengdu Medical College, Sichuan, Chengdu, China; Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
| | - Fangyi Li
- School of Nursing, Chengdu Medical College, Sichuan, Chengdu, China
| | - Chunmei Liu
- Chengdu Seventh People's Hospital, Sichuan, Chengdu, China
| | - Linyu Zhou
- School of Nursing, Chengdu Medical College, Sichuan, Chengdu, China
| | - Hongyue Zhong
- School of Nursing, Chengdu Medical College, Sichuan, Chengdu, China
| | - Li Li
- School of Nursing, Chengdu Medical College, Sichuan, Chengdu, China
| | - Tian Xiao
- School of Nursing, Chengdu Medical College, Sichuan, Chengdu, China
| | - Ruihan Xiao
- School of Nursing, Chengdu Medical College, Sichuan, Chengdu, China
| | - Xiaoju Chen
- School of Nursing, Chengdu Medical College, Sichuan, Chengdu, China.
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Calañas-Continente A, Gutiérrez-Botella J, García-Currás J, Cobos MJ, Vaquero JM, Herrera A, Molina MJ, Gálvez MÁ. Global Leadership Initiative on Malnutrition-Diagnosed Malnutrition in Lung Transplant Candidates. Nutrients 2024; 16:376. [PMID: 38337661 PMCID: PMC10857078 DOI: 10.3390/nu16030376] [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: 12/30/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND AND AIMS Malnutrition in lung transplantation (LT) candidates increases postoperative morbidity and mortality. Early diagnosis of malnutrition could attenuate adverse prognostic factors. This study aimed to assess the prevalence of nutritional risk and malnutrition using GLIM criteria in LT candidates and clinically characterize those with malnutrition. METHODS A prospective longitudinal study was conducted from 2000 to 2020 of LT candidates who underwent complete nutritional assessment (nutritional screening, anthropometry, bioelectrical impedance, blood laboratory tests and malnutrition diagnosis using GLIM criteria). RESULTS Obstructive diseases (45.6%), interstitial diseases (36.6%) and cystic fibrosis/non-cystic fibrosis bronchiectasis (15.4%) were the main conditions assessed for LT. Of the 1060 candidates evaluated, 10.6% were underweight according to BMI, 29% were at risk of malnutrition and 47% were diagnosed with malnutrition using GLIM criteria. Reduced muscle mass was the most frequent GLIM phenotypic criterion. Malnutrition was more prevalent in patients with cystic fibrosis/non-cystic fibrosis bronchiectasis (84.5%) and obstructive (45.4%) and interstitial (31.3%) diseases. GLIM criteria detected some degree of malnutrition in all diseases requiring LT and identified patients with higher CRP levels and worse respiratory function, anthropometric measurements and visceral protein and lipid profiles. CONCLUSIONS LT candidates present a high prevalence of malnutrition using the GLIM algorithm. GLIM criteria detected malnutrition in all diseases requiring LT and defined patients with worse clinical-analytical profiles.
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Affiliation(s)
- Alfonso Calañas-Continente
- Department of Endocrinology and Nutrition, University Hospital Reina Sofia, Avenida Menendez Pidal s/n, 14004 Cordoba, Spain; (A.H.); (M.J.M.); (M.Á.G.)
| | - Jesús Gutiérrez-Botella
- Biostatech Advice Training and Innovation in Biostatistics, SL. Edificio Emprendia, Campus Vida s/n, 15782 Santiago de Compostela, Spain; (J.G.-B.); (J.G.-C.)
| | - Julia García-Currás
- Biostatech Advice Training and Innovation in Biostatistics, SL. Edificio Emprendia, Campus Vida s/n, 15782 Santiago de Compostela, Spain; (J.G.-B.); (J.G.-C.)
| | - Mª Jesús Cobos
- Department of Pulmonary Medicine and Lung Transplantation, University Hospital Reina Sofia, Avenida Menendez Pidal s/n, 14004 Cordoba, Spain; (M.J.C.); (J.M.V.)
| | - José Manuel Vaquero
- Department of Pulmonary Medicine and Lung Transplantation, University Hospital Reina Sofia, Avenida Menendez Pidal s/n, 14004 Cordoba, Spain; (M.J.C.); (J.M.V.)
| | - Aura Herrera
- Department of Endocrinology and Nutrition, University Hospital Reina Sofia, Avenida Menendez Pidal s/n, 14004 Cordoba, Spain; (A.H.); (M.J.M.); (M.Á.G.)
| | - Mª José Molina
- Department of Endocrinology and Nutrition, University Hospital Reina Sofia, Avenida Menendez Pidal s/n, 14004 Cordoba, Spain; (A.H.); (M.J.M.); (M.Á.G.)
| | - Mª Ángeles Gálvez
- Department of Endocrinology and Nutrition, University Hospital Reina Sofia, Avenida Menendez Pidal s/n, 14004 Cordoba, Spain; (A.H.); (M.J.M.); (M.Á.G.)
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Omiya S, Urade T, Komatsu S, Kido M, Kuramitsu K, Yanagimoto H, Toyama H, Fukumoto T. Impact of GLIM criteria-based malnutrition diagnosis on outcomes following liver resection for hepatocellular carcinoma. HPB (Oxford) 2023; 25:1555-1565. [PMID: 37684130 DOI: 10.1016/j.hpb.2023.08.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 08/14/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND The Global Leadership Initiative on Malnutrition (GLIM), comprising several of the major global clinical nutrition societies, suggested the world's first criteria for diagnosis of the severity of malnutrition. However, the impact of the resulting diagnosis on patient outcomes for those with hepatocellular carcinoma (HCC) following liver resection (LR) has not been investigated. METHODS A retrospective analysis of 293 patients with HCC who underwent LR between January 2011 and December 2018 was performed. We compared overall survival (OS) and recurrence-free survival (RFS) and evaluated prognostic factors after LR using Cox proportional hazards regression models. RESULTS Preoperative patient nutritional status, n (%), was classified as follows: normal, 130 (44%), moderate malnutrition, 116 (40%), and severe malnutrition, 47 (16%). The median OS (129 vs. 43 months, p < 0.001) and median RFS (54 vs. 20 months, p = 0.001) were significantly greater in the normal group than in the severe malnutrition group. Multivariate analysis showed that severe malnutrition was a significant risk factor for OS (p = 0.006) and RFS (p = 0.010) after initial LR. CONCLUSION Severe malnutrition, as diagnosed by the GLIM criteria, is a significant prognostic factor for survival and recurrence in patients with HCC after LR.
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Affiliation(s)
- Satoshi Omiya
- Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Takeshi Urade
- Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
| | - Shohei Komatsu
- Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Masahiro Kido
- Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Kaori Kuramitsu
- Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Hiroaki Yanagimoto
- Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Hirochika Toyama
- Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Takumi Fukumoto
- Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
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Amiri Khosroshahi R, Barkhordar M, Talebi S, Imani H, Sadeghi E, Mousavi SA, Mohammadi H. The impact of malnutrition on mortality and complications of hematopoietic stem cell transplantation in patients with acute leukemia. Clin Nutr 2023; 42:2520-2527. [PMID: 37925779 DOI: 10.1016/j.clnu.2023.10.018] [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: 06/04/2023] [Revised: 10/17/2023] [Accepted: 10/19/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND & AIMS Malnutrition is common in hematopoietic stem cell transplantation (HSCT) patients. However, there are few studies on the association between malnutrition and post-transplant outcomes, with inconsistent results. No standard screening tool has been established for malnutrition in these patients. Previous research suggests the Global Leadership Initiative on Malnutrition (GLIM) criteria is effective in predicting outcomes in other cancers. This study investigates the link between malnutrition based on the GLIM criteria with mortality and complications following allogeneic HSCT. METHODS This single-center, observational, longitudinal, and prospective study of 98 adult leukemia patients at the Hematology Center of Shariati Hospital in Tehran, Iran, monitored patients before transplantation until 100 days after the procedure, focusing on overall survival and mortality as a primary outcome, and secondary endpoints including oral mucositis, acute GVHD, infection during hospitalization, and readmission rates. RESULTS This study involved 98 allogeneic HSCT patients with a median age of 38 years old, 64.3 % with acute myeloid leukemia (AML), and 35.7 % with acute lymphoblastic leukemia (ALL). Among them, 26.5 % were categorized as malnourished based on GLIM criteria. During 100 days of follow-up, 13 patients died, but there was no significant difference in overall survival and mortality between malnourished and well-nourished patients. Malnourished patients demonstrated a noticeable upward trend in the incidence of oral mucositis, hospital readmission, and infection during their hospitalization. It is important to highlight that although this observed trend is discernible, it did not attain statistical significance in statistical analyses (P > 0.05). CONCLUSION The current study determined that, when assessed using the GLIM criteria, malnutrition did not exert a statistically significant influence on survival, mortality, or complications within the specified age range of 18-55 years, underscoring its limited impact on this cohort of younger patients.
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Affiliation(s)
- Reza Amiri Khosroshahi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Barkhordar
- Hematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran; Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Sepide Talebi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran; Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Imani
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Erfan Sadeghi
- Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyed Asadollah Mousavi
- Hematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran; Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Mohammadi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
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10
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Khosroshahi RA, Mohammadi H, Barkhordar M, Zeraattalab-Motlagh S, Imani H, Rashidi A, Sadeghi E, Wilkins S, Mousavi SA. Comparison of three malnutrition screening tools prior to allogeneic hematopoietic stem-cell transplantation. Front Nutr 2023; 10:1233074. [PMID: 37899838 PMCID: PMC10600464 DOI: 10.3389/fnut.2023.1233074] [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: 06/01/2023] [Accepted: 09/21/2023] [Indexed: 10/31/2023] Open
Abstract
Background Previous studies have shown that malnutrition before hematopoietic stem cell transplantation (HSCT) is associated with poor patient prognoses. There is inconsistency among studies on which nutritional status screening tool is appropriate for malnutrition diagnosis before allo-HSCT. The present study aimed to compare nutritional screening tools in patients with leukemia before allo-HSCT. Methods An observational, cross-sectional, and single-center study was conducted in Tehran, Iran. One hundred four adults allo-HSCT candidates aged 18-55 years with leukemia were selected sequentially. Malnutrition assessment was done using three tools, the Global Leadership Initiative on Malnutrition (GLIM), nutritional risk screening 2002 (NRS-2002) and European Society for Clinical Nutrition and Metabolism (ESPEN) criteria. The agreement between malnutrition assessment tools was evaluated with Cohen's kappa. Results The agreement between GLIM and NRS-2002 was perfect (κ = 0.817, p < 0.001), while the agreement between GLIM and ESPEN was fair (κ = 0.362, p < 0.001). The agreement between NRS-2002 and ESPEN was fair (κ = 0.262, p < 0.001). We also found a moderate agreement for all tools (κ = 0.489, p < 0.001). Conclusion NRS-2002 is an accepted tool for screening malnutrition in hospitalized patients. In the current study, the GLIM criterion perfectly agreed with the NRS-2002. Further studies in the HSCT setting are needed to introduce a valid tool.
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Affiliation(s)
- Reza Amiri Khosroshahi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Mohammadi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Barkhordar
- Hematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Sheida Zeraattalab-Motlagh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Hossein Imani
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Amirabbas Rashidi
- Hematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Erfan Sadeghi
- Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Simon Wilkins
- Cabrini Monash Department of Surgery, Cabrini Hospital, Melbourne, VIC, Australia
- Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, Australia
| | - Seyed Asadollah Mousavi
- Hematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
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11
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Göçer K, Öztürk B. Role of Malnutrition in Atrial Fibrillation: A Prospective Study including Individuals ≥ 75 Years of Age. Nutrients 2023; 15:4195. [PMID: 37836479 PMCID: PMC10574320 DOI: 10.3390/nu15194195] [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: 09/03/2023] [Revised: 09/20/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Atrial fibrillation (AF) is the most common rhythm disorder in the elderly. The AF can cause life-threatening thromboembolic complications. Therefore, there is a need to determine the risk factors of AF. In this study, we aimed to examine the association of markers of malnutrition with AF in individuals aged 75 years and older and to find the factors that may affect mortality. METHODS In this prospective study, 358 consecutive individuals aged 75 years and older presenting to the cardiology outpatient clinic were included. All participants were divided into AF and sinus rhythm (SR) groups. In addition, a questionnaire and scoring system were used to assess malnutrition status. Information was obtained from all patients through outpatient clinic visits or telephone interviews for one year. Death from any cause was considered as the endpoint. RESULTS AF was observed in 71 (19.8%) patients. Death was higher in patients with AF (p < 0.001), high CONUT score (p = 0.018), and GLIM malnutrition (p = 0.018). GLIM malnutrition caused a 2.8-fold increase in the development of AF. CONCLUSIONS Screening for malnutrition in the elderly is essential. According to GLIM criteria, malnutrition may play a role in the development of AF and increase one-year mortality in the elderly.
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Affiliation(s)
- Kemal Göçer
- Department of Cardiology, Faculty of Medicine, Kahramanmaras Sutcu Imam University, Kahramanmaras 46050, Türkiye
| | - Bayram Öztürk
- Department of Cardiology, Medical Park Goztepe Hospital, Istanbul 34730, Türkiye
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12
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Kiss N, Steer B, de van der Schueren M, Loeliger J, Alizadehsani R, Edbrooke L, Deftereos I, Laing E, Khosravi A. Machine learning models to predict outcomes at 30-days using Global Leadership Initiative on Malnutrition combinations with and without muscle mass in people with cancer. J Cachexia Sarcopenia Muscle 2023; 14:1815-1823. [PMID: 37259678 PMCID: PMC10401541 DOI: 10.1002/jcsm.13259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 11/29/2022] [Accepted: 04/15/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Equipment to assess muscle mass is not available in all health services. Yet we have limited understanding of whether applying the Global Leadership Initiative on Malnutrition (GLIM) criteria without an assessment of muscle mass affects the ability to predict adverse outcomes. This study used machine learning to determine which combinations of GLIM phenotypic and etiologic criteria are most important for the prediction of 30-day mortality and unplanned admission using combinations including and excluding low muscle mass. METHODS In a cohort of 2801 participants from two cancer malnutrition point prevalence studies, we applied the GLIM criteria with and without muscle mass. Phenotypic criteria were assessed using ≥5% unintentional weight loss, body mass index, subjective assessment of muscle stores from the PG-SGA. Aetiologic criteria included self-reported reduced food intake and inflammation (metastatic disease). Machine learning approaches were applied to predict 30-day mortality and unplanned admission using models with and without muscle mass. RESULTS Participants with missing data were excluded, leaving 2494 for analysis [49.6% male, mean (SD) age: 62.3 (14.2) years]. Malnutrition prevalence was 19.5% and 17.5% when muscle mass was included and excluded, respectively. However, 48 (10%) of malnourished participants were missed if muscle mass was excluded. For the nine GLIM combinations that excluded low muscle mass the most important combinations to predict mortality were (1) weight loss and inflammation and (2) weight loss and reduced food intake. Machine learning metrics were similar in models excluding or including muscle mass to predict mortality (average accuracy: 84% vs. 88%; average sensitivity: 41% vs. 38%; average specificity: 85% vs. 89%). Weight loss and reduced food intake was the most important combination to predict unplanned hospital admission. Machine learning metrics were almost identical in models excluding or including muscle mass to predict unplanned hospital admission, with small differences observed only if reported to one decimal place (average accuracy: 77% vs. 77%; average sensitivity: 29% vs. 29%; average specificity: 84% vs. 84%). CONCLUSIONS Our results indicate predictive ability is maintained, although the ability to identify all malnourished patients is compromised, when muscle mass is excluded from the GLIM diagnosis. This has important implications for assessment in health services where equipment to assess muscle mass is not available. Our findings support the robustness of the GLIM approach and an ability to apply some flexibility in excluding certain phenotypic or aetiologic components if necessary, although some cases will be missed.
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Affiliation(s)
- Nicole Kiss
- Institute for Physical Activity and NutritionDeakin UniversityGeelongAustralia
- Department of Allied HealthPeter MacCallum Cancer CentreMelbourneAustralia
| | - Belinda Steer
- Department of Nutrition and Speech PathologyPeter MacCallum Cancer CentreMelbourneAustralia
| | - Marian de van der Schueren
- Department of Nutrition, Dietetics and LifestyleHAN University of Applied SciencesNijmegenThe Netherlands
- Department of Human Nutrition and HealthWageningen University and ResearchWageningenThe Netherlands
| | - Jenelle Loeliger
- Department of Nutrition and Speech PathologyPeter MacCallum Cancer CentreMelbourneAustralia
| | - Roohallah Alizadehsani
- Institute for Intelligent Systems Research and InnovationDeakin UniversityWaurn PondsAustralia
| | - Lara Edbrooke
- Department of Health Services ResearchPeter MacCallum Cancer CentreMelbourneAustralia
- Department of PhysiotherapyThe University of MelbourneParkvilleAustralia
| | - Irene Deftereos
- Department of Surgery, Western HealthThe University of MelbourneParkvilleAustralia
- Department of Nutrition and DieteticsWestern Health, FootscrayAustralia
| | - Erin Laing
- Department of Nutrition and Speech PathologyPeter MacCallum Cancer CentreMelbourneAustralia
| | - Abbas Khosravi
- Institute for Intelligent Systems Research and InnovationDeakin UniversityWaurn PondsAustralia
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13
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Beretta MV, Rodrigues TDC, Steemburgo T. Validity of the Global Leadership Initiative on Malnutrition criteria using calf circumference in the prediction of in-hospital mortality in older surgical patients: A secondary analysis of a cohort study. JPEN J Parenter Enteral Nutr 2023; 47:773-782. [PMID: 37246959 DOI: 10.1002/jpen.2526] [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: 10/25/2022] [Revised: 05/04/2023] [Accepted: 05/23/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND Malnutrition is a prevalent condition among older patients and is associated with worse clinical outcomes. Methods such as the Subjective Global Assessment (SGA), the Mini Nutritional Assessment Long Form (MNA-LF), and the Global Leadership Initiative on Malnutrition (GLIM) diagnose malnutrition early. This study aimed to evaluate the performance and validity of these instruments to predict the length of hospital stay (LOS) and in-hospital mortality in older surgical patients. METHODS This prospective cohort study was performed in hospitalized older surgical patients. In the first 48 h of admission, general data were collected, and patients were evaluated by SGA, MNA-LF, and GLIM using calf circumference (CC) and mid-upper arm circumference (MUAC) as phenotypic criteria for nutrition diagnoses. Accuracy tests and regression analysis adjusted for sex, type of surgery, and the Charlson Comorbidity Index adjusted for age were performed to assess the criterion validity of instruments to predict LOS and mortality. RESULTS A total of 214 patients (age 75.4 ± 6.6 years, 57.3% men, and 71.1% admitted to elective surgery) were evaluated. Malnutrition was diagnosed in 39.7% (SGA), 63% (MNA-LF), 41.6% (GLIMCC ), and 32.1% (GLIMMUAC ) of patients. GLIMCC had the best accuracy (AUC = 0.70; 95% CI, 0.63-0.79) and sensitivity (95.8%) to predict in-hospital mortality. In the adjusted analysis, malnutrition, according to SGA, MNA-LF, and GLIMCC , increased the risk of in-hospital mortality by 3.12 (95% CI, 1.08-11.34), 4.51 (95% CI, 1.29-17.61), and 4.83 (95% CI, 1.52-15.22), respectively. CONCLUSION GLIMCC had the best performance and satisfactory criterion validity to predict in-hospital mortality in older surgical patients.
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Affiliation(s)
- Mileni V Beretta
- Graduate Program in Medical Sciences, Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, R Rio Grande do Sul, Brazil
| | - Ticiana D C Rodrigues
- Graduate Program in Medical Sciences, Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, R Rio Grande do Sul, Brazil
| | - Thais Steemburgo
- Hospital de Clínicas de Porto Alegre, Porto Alegre, R Rio Grande do Sul, Brazil
- Graduate Program in Food, Nutrition, and Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, R Rio Grande do Sul, Brazil
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14
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Bian W, Li Y, Wang Y, Chang L, Deng L, Li Y, Jiang H, Zhou P. Prevalence of malnutrition based on global leadership initiative in malnutrition criteria for completeness of diagnosis and future risk of malnutrition based on current malnutrition diagnosis: systematic review and meta-analysis. Front Nutr 2023; 10:1174945. [PMID: 37469547 PMCID: PMC10352804 DOI: 10.3389/fnut.2023.1174945] [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: 02/27/2023] [Accepted: 06/19/2023] [Indexed: 07/21/2023] Open
Abstract
Background The proposal of the global leadership initiative in malnutrition (GLIM) criteria has received great attention from clinicians. The criteria are mainly used in the research environment and have the potential to be widely used in the clinic in the future. However, the prevalence of malnutrition and risk of future malnutrition based on a current diagnosis of malnutrition are worth exploring. Methods A systematic search of PubMed, Embase, and the Cochrane Library was performed from the earliest available date to 1 February 2023. According to the diagnostic criteria of the GLIM, we analysed the prevalence of malnutrition by directly adopting the GLIM criteria for diagnosis without a previous nutritional risk screening (one-step approach) and by adopting the GLIM criteria for diagnosis after a nutritional risk screening (two-step approach). The main outcome was the prevalence of malnutrition based on the one-and two-step approaches. Secondary outcomes were the future risk of malnutrition based on the GLIM diagnosis, including mortality within and beyond 1 year. primary outcomes were pooled using random-effects models, and secondary outcomes are presented as hazard ratios (HRs) and 95% confidence intervals (CIs). Results A total of 64 articles were included in the study, including a total of 47,654 adult hospitalized patients and 15,089 malnourished patients based on the GLIM criteria. Malnutrition was diagnosed by the one-step approach in 18 studies and by the two-step approach in 46 studies. The prevalence of malnutrition diagnosed by the one-and two-step approaches was 53% (95% CI, 42%-64%) and 39% (95% CI, 0.35%-0.43%), respectively. The prevalence of malnutrition diagnosed by the GLIM criteria after a nutritional risk screening was quite different; the prevalence of malnutrition diagnosed by the Nutritional Risk Screening 2002 (NRS2002) GLIM tool was 35% (95% CI, 29%-40%); however, the prevalence of malnutrition diagnosed by the Mini Nutrition Assessment (MNA) GLIM tool was 48% (95% CI, 35%-62%). Among the disease types, the prevalence of malnutrition in cancer patients was 44% (95% CI, 36%-52%), while that in acute and critically ill patients was 44% (95% CI, 33%-56%). The prevalence in patients in internal medicine wards was 40% (95% CI, 34%-45%), while that in patients in surgical wards was 47% (95% CI, 30%-64%). In addition, the mortality risk within 1 year (HR, 2.62; 95% CI, 1.95-3.52; I2 = 77.1%) and beyond 1 year (HR, 2.04; 95% CI, 1.70-2.45; I2 = 59.9%) of patients diagnosed with malnutrition by the GLIM criteria was double that of patients with normal nutrition. Conclusion The prevalence of malnutrition diagnosed by the GLIM criteria after a nutritional risk screening was significantly lower than the prevalence of malnutrition diagnosed directly by the GLIM criteria. In addition, the mortality risk was significantly greater among malnourished patients assessed by the GLIM criteria.Systematic review registration: identifier CRD42023398454.
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Affiliation(s)
- Wentao Bian
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yi Li
- Sichuan Provincial People’s Hospital, Chengdu, China
| | - Yu Wang
- Institute of Emergency and Disaster Medicine, Provincial People’s Hospital, Chengdu, China
| | - Li Chang
- Sichuan Provincial People’s Hospital, Chengdu, China
| | - Lei Deng
- Sichuan Provincial People’s Hospital, Chengdu, China
| | - Yulian Li
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hua Jiang
- Institute of Emergency and Disaster Medicine, Provincial People’s Hospital, Chengdu, China
| | - Ping Zhou
- Sichuan Provincial People’s Hospital, Chengdu, China
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15
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Huo Z, Chong F, Yin L, Li N, Liu J, Zhang M, Guo J, Fan Y, Zhang L, Lin X, Zhang H, Shi M, He X, Lu Z, Fu Z, Guo Z, Li Z, Zhou F, Chen Z, Ma H, Zhou C, Chen J, Wu X, Li T, Zhao Q, Weng M, Yao Q, Liu M, Yu H, Zheng J, Cui J, Li W, Song C, Shi H, Xu H. Comparison of the performance of the GLIM criteria, PG-SGA and mPG-SGA in diagnosing malnutrition and predicting survival among lung cancer patients: A multicenter study. Clin Nutr 2023; 42:1048-1058. [PMID: 37178592 DOI: 10.1016/j.clnu.2023.04.021] [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: 05/12/2022] [Revised: 11/08/2022] [Accepted: 04/24/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND & AIMS The present study aimed to compare the ability of the GLIM criteria, PG-SGA and mPG-SGA to diagnose malnutrition and predict survival among Chinese lung cancer (LC) patients. METHODS This was a secondary analysis of a multicenter, prospective, nationwide cohort study, 6697 LC inpatients were enrolled between July 2013 and June 2020. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), area under the curve (AUC), and quadratic weighted Kappa coefficients were calculated to compare the ability to diagnose malnutrition. There were 754 patients who underwent follow-up for a median duration of 4.5 years. The associations between the nutritional status and survival were analyzed by the Kaplan-Meier method and multivariable Cox proportional hazard regression models. RESULTS The median age of LC patients was 60 (53, 66), and 4456 (66.5%) were male. There were 617 (9.2%), 752 (11.2%), 1866 (27.9%), and 3462 (51.7%) patients with clinical stage Ⅰ, Ⅱ, Ⅲ, and Ⅳ LC, respectively. Malnutrition was present in 36.1%-54.2% (as evaluated using different tools). Compared with the PG-SGA (used as the diagnostic reference), the sensitivity of the mPG-SGA and GLIM was 93.7% and 48.3%; the specificity was 99.8% and 78.4%; and the AUC was 0.989 and 0.633 (P < 0.001). The weighted Kappa coefficients were 0.41 for the PG-SGA vs. GLIM, 0.44 for the mPG-SGA vs. GLIM, and 0.94 for the mPG-SGA vs PG-SGA in patients with stage Ⅰ-Ⅱ LC. These values were respectively 0.38, 0.39, and 0.93 in patients with stage Ⅲ-Ⅳ of LC. In a multivariable Cox analysis, the mPG-SGA (HR = 1.661, 95%CI = 1.348-2.046, P < 0.001), PG-SGA (HR = 1.701, 95%CI = 1.379-2.097, P < 0.001) and GLIM (HR = 1.657, 95%CI = 1.347-2.038, P < 0.001) showed similar death hazard ratios. CONCLUSIONS The mPG-SGA provides nearly equivalent power to predict the survival of LC patients as the PG-SGA and the GLIM, indicating that all three tools are applicable for LC patients. The mPG-SGA has the potential to be an alternative replacement for quick nutritional assessment among LC patients.
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Affiliation(s)
- Zhenyu Huo
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Feifei Chong
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Liangyu Yin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Na Li
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Jie Liu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Mengyuan Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Jing Guo
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Yang Fan
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Ling Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Xin Lin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Hongmei Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Muli Shi
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Xiumei He
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Zongliang Lu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Zhenming Fu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Zengqing Guo
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
| | - Zengning Li
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, China
| | - Fuxiang Zhou
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Zhikang Chen
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Hu Ma
- Department of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China
| | - Chunling Zhou
- The Fourth Affiliated Hospital, Harbin Medical University, Harbin, 150001, China
| | - Junqiang Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Xianghua Wu
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Tao Li
- Department of Radiotherapy, Sichuan Cancer Hospital& Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610041, China
| | - Qingchuan Zhao
- Department of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Min Weng
- Department of Clinical Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Qinghua Yao
- Department of Integrated Traditional Chinese and Western Medicine, Zhejiang Cancer Hospital & Key Laboratory of Traditional Chinese Medicine Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, China
| | - Ming Liu
- Department of Colorectal Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Huiqing Yu
- Department of Palliative Care/Geriatric Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Jin Zheng
- Department of Traditional Chinese Medicine, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China
| | - Jiuwei Cui
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, China
| | - Chunhua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
| | - Hanping Shi
- Department of Gastrointestinal Surgery/Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.
| | - Hongxia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
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16
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Wang X, Yang F, Zhu M, Cui H, Wei J, Li J, Chen W. Development and Assessment of Assisted Diagnosis Models Using Machine Learning for Identifying Elderly Patients With Malnutrition: Cohort Study. J Med Internet Res 2023; 25:e42435. [PMID: 36917167 PMCID: PMC10131894 DOI: 10.2196/42435] [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: 09/04/2022] [Revised: 12/05/2022] [Accepted: 01/10/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Older patients are at an increased risk of malnutrition due to many factors related to poor clinical outcomes. OBJECTIVE This study aims to develop an assisted diagnosis model using machine learning (ML) for identifying older patients with malnutrition and providing the focus of individualized treatment. METHODS We reanalyzed a multicenter, observational cohort study including 2660 older patients. Baseline malnutrition was defined using the global leadership initiative on malnutrition (GLIM) criteria, and the study population was randomly divided into a derivation group (2128/2660, 80%) and a validation group (532/2660, 20%). We applied 5 ML algorithms and further explored the relationship between features and the risk of malnutrition by using the Shapley additive explanations visualization method. RESULTS The proposed ML models were capable to identify older patients with malnutrition. In the external validation cohort, the top 3 models by the area under the receiver operating characteristic curve were light gradient boosting machine (92.1%), extreme gradient boosting (91.9%), and the random forest model (91.5%). Additionally, the analysis of the importance of features revealed that BMI, weight loss, and calf circumference were the strongest predictors to affect GLIM. A BMI of below 21 kg/m2 was associated with a higher risk of GLIM in older people. CONCLUSIONS We developed ML models for assisting diagnosis of malnutrition based on the GLIM criteria. The cutoff values of laboratory tests generated by Shapley additive explanations could provide references for the identification of malnutrition. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR-EPC-14005253; https://www.chictr.org.cn/showproj.aspx?proj=9542.
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Affiliation(s)
- Xue Wang
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fengchun Yang
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Mingwei Zhu
- Department of General Surgery, Beijing Hospital, National Center of Gerontology, Beijing, China.,Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Department of Gastrointestinal Surgery, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Hongyuan Cui
- Department of General Surgery, Beijing Hospital, National Center of Gerontology, Beijing, China.,Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Department of Gastrointestinal Surgery, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Junmin Wei
- Department of General Surgery, Beijing Hospital, National Center of Gerontology, Beijing, China.,Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Department of Gastrointestinal Surgery, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Jiao Li
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Chen
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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17
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Brown D, Loeliger J, Stewart J, Graham KL, Goradia S, Gerges C, Lyons S, Connor M, Stewart S, Di Giovanni A, D'Angelo S, Kiss N. Relationship between global leadership initiative on malnutrition (GLIM) defined malnutrition and survival, length of stay and post-operative complications in people with cancer: A systematic review. Clin Nutr 2023; 42:255-268. [PMID: 36716618 DOI: 10.1016/j.clnu.2023.01.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/11/2022] [Accepted: 01/09/2023] [Indexed: 01/15/2023]
Abstract
BACKGROUND & AIMS The predictive validity of the GLIM criteria for survival, length of hospital stay (LOHS) and post-operative complications among people with cancer have not been systematically reviewed. This systematic review aims to determine whether GLIM malnutrition is predictive of these outcomes, and whether the predictive validity is affected by how phenotypic and etiologic criteria are assessed. METHODS Cohort studies published after 2018 were systematically reviewed according to PRISMA guidelines from Embase, Medline Complete and CINAHL Complete. Risk of bias and methodologic quality were assessed using the Journal of the Academy of Nutrition and Dietetics' Quality Criteria Checklist tool for Primary research. RESULTS In total, 21 studies were included, including 28,726 participants. All studies investigated survival, where 18 reported GLIM malnutrition is associated with decreased survival. LOHS was investigated in six studies, with all finding an association between GLIM malnutrition and longer LOHS. Post-operative complications were assessed in seven studies, of which five reported GLIM malnutrition was predictive of increased post-operative complications. Methods to assess the GLIM phenotypic and etiologic criteria varied, with consistent predictive ability for survival regardless of method of assessing reduced muscle mass. However, predictive ability was more variable across different measures of inflammation and reduced intake. CONCLUSION GLIM malnutrition was consistently predictive of worse clinical outcomes. Different measures of reduced muscle mass did not affect the predictive ability of GLIM for survival. However, variation in assessment of the etiologic criteria resulted in varying predictive ability of the GLIM diagnosis for survival.
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Affiliation(s)
- Dylan Brown
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Jenelle Loeliger
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia; Nutrition and Speech Pathology Department, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Jane Stewart
- Nutrition and Speech Pathology Department, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Kate L Graham
- Nutrition and Speech Pathology Department, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Sunita Goradia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Chantal Gerges
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Shania Lyons
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Molly Connor
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Sam Stewart
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Adrian Di Giovanni
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Sarah D'Angelo
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Nicole Kiss
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia; Allied Health Department, Peter MacCallum Cancer Centre, Melbourne, Australia.
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Yin L, Chong F, Huo Z, Li N, Liu J, Xu H. GLIM-defined malnutrition and overall survival in cancer patients: A meta-analysis. JPEN J Parenter Enteral Nutr 2023; 47:207-219. [PMID: 36371641 PMCID: PMC10107432 DOI: 10.1002/jpen.2463] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 08/05/2022] [Accepted: 11/06/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Malnutrition defined by the Global Leadership Initiative on Malnutrition (GLIM) has been associated with cancer mortality, but the effect is limited and inconsistent. We performed this meta-analysis aiming to assess this relationship in patients with cancer. METHODS We systematically searched Embase, PubMed, Web of Science, Cochrane, CINAHL, CNKI, Wanfang, and VIP databases from January 1, 2019, to July 1, 2022. Studies evaluating the prognostic effect of GLIM-defined malnutrition on cancer survival were included. A fixed-effect model was fitted to estimate the combined hazard ratio (HR) with a 95% CI. Heterogeneity of studies was analyzed using the I2 statistic. Quality assessment were performed using the Newcastle-Ottawa Scale (NOS) and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) tool. RESULTS The search strategy identified 4378 articles in all databases combined. Nine studies (8829 patients) meeting the inclusion criteria were included for quantitative analysis. Meta-analysis revealed significant associations between GLIM-defined pooled malnutrition (HR = 1.75; 95% CI, 1.43-2.15), moderate malnutrition (HR = 1.44; 95% CI, 1.29-1.62), and severe malnutrition (HR = 1.79; 95% CI, 1.58-2.02) with all-cause mortality. Sensitivity analysis supported the robustness of these associations. The between-study heterogeneity was low (all I2 < 50%), and study quality assessed with NOS was high (all scores > 6). The evidence quality according to the GRADE tool was very low. CONCLUSIONS Our meta-analysis suggests a significant negative association of malnutrition, as defined by the GLIM, with overall survival in patients with cancer. However, definitive conclusions cannot be made, owing to the low quality of the source data.
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Affiliation(s)
- Liangyu Yin
- Institute of Hepatopancreatobiliary Surgery, Southwest HospitalArmy Medical University (Third Military Medical University)ChongqingChina
- Department of Clinical Nutrition, Daping HospitalArmy Medical University (Third Military Medical University)ChongqingChina
| | - Feifei Chong
- Department of Clinical Nutrition, Daping HospitalArmy Medical University (Third Military Medical University)ChongqingChina
| | - Zhenyu Huo
- Department of Clinical Nutrition, Daping HospitalArmy Medical University (Third Military Medical University)ChongqingChina
| | - Na Li
- Department of Clinical Nutrition, Daping HospitalArmy Medical University (Third Military Medical University)ChongqingChina
| | - Jie Liu
- Department of Clinical Nutrition, Daping HospitalArmy Medical University (Third Military Medical University)ChongqingChina
| | - Hongxia Xu
- Department of Clinical Nutrition, Daping HospitalArmy Medical University (Third Military Medical University)ChongqingChina
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19
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Landgrebe M, Tobberup R, Carus A, Rasmussen HH. GLIM diagnosed malnutrition predicts clinical outcomes and quality of life in patients with non-small cell lung cancer. Clin Nutr 2023; 42:190-198. [PMID: 36603459 DOI: 10.1016/j.clnu.2022.12.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 12/18/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND & AIMS The high prevalence of malnutrition in non-small cell lung cancer (NSCLC) patients has numerous negative consequences on patients' outcome when undergoing anti-neoplastic treatment. The Global Leadership Initiative on Malnutrition (GLIM) criteria for diagnosis of malnutrition are currently being verified; however, studies validating GLIM criteria in NSCLC patients are lacking. This study aimed to evaluate clinical outcomes and Quality of Life (QoL) in malnourished compared to well-nourished NSCLC patients to determine the predictive validity of GLIM criteria. METHODS We collected data on adverse events, survival, and QoL from NSCLC patients undergoing first line anti-neoplastic treatment collected from two prospective trials. Patients were categorized by GLIM criteria as malnourished or well-nourished, based on non-volitional weight loss, low Body Mass Index, reduced muscle mass (Computed Tomography-scans), reduced food intake (24-h recall), and inflammatory condition (modified Glasgow Prognostic Score). Differences in descriptive data, adverse events, survival, and QoL between the malnourished and well-nourished patients were analyzed. RESULTS Overall, 120 patients were included in the study. Malnourished patients compared to well-nourished patients had significantly worse outcome in terms of treatment cessation (n = 21 vs 13, p = 0.049), disease progression (n = 20 vs 12, p = 0.034) and shorter overall survival (HR 2.0, 95% CI: 1.2, 3.4, p = 0.009). Stratifying by severity, moderately malnourished patients had a shorter overall survival compared to well-nourished patients (HR 2.1, 95% CI: 1.2, 3.6, p = 0.007). Malnutrition at baseline was associated with poor QoL by lower physical (p < 0.001) and role functioning (p = 0.011), more symptoms of fatigue (p = 0.001), nausea and vomiting (p = 0.009), pain (p < 0.001), dyspnea (p = 0.032), appetite loss (p < 0.001), and constipation (p = 0.029). No significant differences were found in hospitalization, dose reductions, or treatment postponement. CONCLUSIONS Malnutrition defined by GLIM criteria in NSCLC patients was associated with more frequent early cessation of anti-neoplastic treatment, shorter overall survival, and poorer QoL compared to well-nourished patients.
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Affiliation(s)
- Maria Landgrebe
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Sdr. Skovvej 15, 9000 Aalborg, Denmark.
| | - Randi Tobberup
- Center for Nutrition and Intestinal Failure, Department of Gastroenterology, Aalborg University Hospital, Mølleparkvej 4, 9000 Aalborg, Denmark; Danish Nutrition Science Center, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark; Clinical Cancer Research Center, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark
| | - Andreas Carus
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Sdr. Skovvej 15, 9000 Aalborg, Denmark; Clinical Cancer Research Center, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark; Department of Oncology, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark
| | - Henrik Højgaard Rasmussen
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Sdr. Skovvej 15, 9000 Aalborg, Denmark; Center for Nutrition and Intestinal Failure, Department of Gastroenterology, Aalborg University Hospital, Mølleparkvej 4, 9000 Aalborg, Denmark; Danish Nutrition Science Center, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark
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20
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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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21
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A scoping review on the GLIM criteria for malnutrition diagnosis: Understanding how and for which purpose it has been applied in studies on hospital settings. Clin Nutr 2023; 42:29-44. [PMID: 36473426 DOI: 10.1016/j.clnu.2022.10.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 10/16/2022] [Accepted: 10/31/2022] [Indexed: 11/09/2022]
Abstract
AIMS This scoping review aimed to identify and map the literature on malnutrition diagnosis made using the GLIM criteria in hospitalized patients. METHODS The scoping review was conducted using the Joanna Briggs Institute's methodology. We searched PubMed, Embase, Scopus, and Web of Science (until 16 April 2022) to identify studies based on the 'population' (adults or elderly patients), 'concept' (malnutrition diagnosis by the GLIM criteria), and 'context' (hospital settings) framework. Titles/abstracts were screened, and two independent reviewers extracted data from eligible studies. RESULTS Ninety-six studies were eligible (35.4% from China, 30.2% involving oncological patients, and 30.5% with prospective data collection), 32 followed the two-step GLIM approach, and 50 applied all the criteria. All the studies evaluated body mass index (BMI), while 92.7% evaluated weight loss; 77.1%, muscle mass; 93.8%, inflammation; and 70.8%, energy intake. A lack of details on the methods adopted for criterion evaluation was observed in five (muscle mass evaluation) to 40 studies (energy intake evaluation). The frequency of the use of the GLIM criteria ranged from 22.2% (frequency of low BMI) to 84.7% (frequency of inflammation), and the malnutrition prevalence ranged from 0.96% to 87.9%. Less than 30% of studies aimed to assess the GLIM criterion validity, eight studies cited the guidance on validation of the GLIM criteria, and a minority implemented it. CONCLUSIONS This map of studies on the GLIM criteria in hospital settings demonstrated that they are applied in a heterogeneous manner, with a wide range of malnutrition prevalence. Almost 50% of the studies applied all the criteria, while one-third followed the straightforward two-step approach. The recommendations of the guidance on validation of the criteria were scarcely adhered to. The gaps that need to be explored in future studies have been highlighted.
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22
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Huo Z, Chong F, Yin L, Li N, Zhang M, Guo J, Lin X, Fan Y, Zhang L, Zhang H, Shi M, He X, Lu Z, Liu J, Li W, Shi H, Xu H. Development and validation of an online dynamic nomogram system for predicting cancer cachexia among inpatients: a real-world cohort study in China. Support Care Cancer 2022; 31:72. [PMID: 36543973 DOI: 10.1007/s00520-022-07540-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 12/10/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Early recognition of cachexia is essential for ensuring the prompt intervention and treatment of cancer patients. However, the diagnosis of cancer cachexia (CC) usually is delayed. This study aimed to establish an accurate and high-efficiency diagnostic system for CC. METHODS A total of 4834 cancer inpatients were enrolled in the INSCOC project from July 2013 to June 2020. All cancer patients in the study were randomly assigned to a development cohort (n=3384, 70%) and a validation cohort (n=1450, 30%). The least absolute shrinkage and selection operator (LASSO) method and multivariable logistic regression were used to identify the independent predictors for developing the dynamic nomogram. Discrimination and calibration were adopted to evaluate the ability of nomogram. A decision curve analysis (DCA) was used to evaluate clinical use. RESULTS We combined 5 independent predictive factors (age, NRS2002, PG-SGA, QOL by the QLQ-C30, and cancer categories) to establish the online dynamic nomogram system. The C-index, sensitivity, and specificity of the nomo-system to predict CC was 0.925 (95%CI, 0.916-0.934, P < 0.001), 0.826, and 0.862 in the development set, while the values were 0.923 (95%CI, 0.909-0.937, P < 0.001), 0.854, and 0.829 in the validation set. In addition, the calibration curves of the diagnostic nomogram also presented good agreement with the actual situation. DCA showed that the model is clinically useful and can increase the clinical benefit in cancer patients. CONCLUSIONS This study developed an online dynamic nomogram system with outstanding accuracy to help clinicians and dieticians estimate the probability of cachexia. This simple-to-use online nomogram can increase the clinical benefit in cancer patients and is expected to be widely adopted.
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Affiliation(s)
- Zhenyu Huo
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Feifei Chong
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Liangyu Yin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Na Li
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Mengyuan Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Jing Guo
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Xin Lin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Yang Fan
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Ling Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Hongmei Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Muli Shi
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Xiumei He
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Zongliang Lu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Jie Liu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Wei Li
- Cancer Center of the First Affiliated Hospital of Jilin University, Changchun, 130021, China
| | - Hanping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Hongxia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
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23
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Song M, Zhang Q, Liu T, Tang M, Zhang X, Ruan G, Zhang X, Zhang K, Ge Y, Yang M, Li W, Cong M, Wang K, Song C, Shi H. Efficacy of Global Leadership Initiative on Malnutrition as potential cachexia screening tool for patients with solid cancer. Nutr J 2022; 21:73. [PMID: 36476477 PMCID: PMC9727850 DOI: 10.1186/s12937-022-00829-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Cachexia has a very high prevalence in patients with cancer, and lacks effective screening tools yet. Global Leadership Initiative on Malnutrition (GLIM) is a novel malnutrition assessment tool, with increased important roles in malnutrition diagnosis for patients with cancer. However, whether GLIM can be used as an effective screening tool remains unknown. METHODS We performed a multicenter cohort study including 8,478 solid tumor patients from 40 clinical centers throughout China. Cachexia was diagnosed based on the 2011 international cancer cachexia consensus. The receiver operating characteristic curves (ROC) and decision curve analysis (DCA) were developed to determine the efficacy and clinical net benefit of GLIM and Patient-Generated Subjective Global Assessment (PG-SGA) in the detection of cancer cachexia, respectively. RESULTS According to the consensus guidelines, 1,441 (17.0%) cancer patients were diagnosed with cachexia among 8,478 patients in the present study. The sensitivity of one-step GLIM and two-step GLIM for detecting cachexia were 100 and 88.8%, respectively, while that of PG-SGA was 86.2%. The accuracies of one-step GLIM and two-step GLIM reached 67.4 and 91.3%, which were higher than that of PG-SGA (63.1%). The area under the curves (AUCs) of one-step GLIM (0.835) and two-step GLIM (0.910) were higher than PG-SGA (0.778) in patients with cancer. The DCA also revealed that two-step GLIM had better clinical effect than PG-SGA between 20-50% threshold probabilities. CONCLUSION GLIM could be used as an effective tool in screening cancer cachexia, two-step GLIM criteria show more accurate while one-step GLIM criteria is more sensitive. TRIAL REGISTRATION ChiCTR1800020329.
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Affiliation(s)
- Mengmeng Song
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Qi Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Tong Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Meng Tang
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Xi Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Guotian Ruan
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Xiaowei Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Kangping Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Yizhong Ge
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China ,grid.417384.d0000 0004 1764 2632The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, 325000 China
| | - Ming Yang
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Wei Li
- grid.430605.40000 0004 1758 4110Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021 China
| | - Minghua Cong
- grid.506261.60000 0001 0706 7839Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kunhua Wang
- grid.440773.30000 0000 9342 2456Yunnan University, Kunming, 650091 China
| | - Chunhua Song
- grid.207374.50000 0001 2189 3846Department of Epidemiology and Statistics, Henan Key Laboratory of Tumor Epidemiology College of Public Health, Zhengzhou University, Zhengzhou, 450001 Henan China
| | - Hanping Shi
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, No.10 Tieyi Road Haidian Dist, Beijing, 100038 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
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Mid-Arm Muscle Circumference or Body Weight-Standardized Hand Grip Strength in the GLIM Superiorly Predicts Survival in Chinese Colorectal Cancer Patients. Nutrients 2022; 14:nu14235166. [PMID: 36501196 PMCID: PMC9739446 DOI: 10.3390/nu14235166] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/26/2022] [Accepted: 12/01/2022] [Indexed: 12/11/2022] Open
Abstract
Our objective was to identify the optimal method to assess reduced muscle mass (RMM) using the Global Leadership Initiative on Malnutrition (GLIM) approach and investigate the roles of the GLIM approach in nutrition assessment and survival prediction in colorectal cancer (CRC) patients. During a median follow-up period of 4.2 (4.0, 4.4) years, a development cohort of 3612 CRC patients with a mean age of 64.09 ± 12.45 years was observed, as well as an external validation cohort of 875 CRC patients. Kaplan−Meier curves and multivariate Cox regression were adopted to analyze the association between GLIM-diagnosed malnutrition and the overall survival (OS) of CRC patients. A nomogram predicting individualized survival was constructed based on independent prognostic predictors. The concordance index, calibration curve, and decision curve were applied to appraise the discrimination, accuracy, and clinical efficacy of the nomogram, respectively. Patients diagnosed with severe malnutrition based on either the mid-arm muscle circumference (MAMC) or body weight-standardized hand grip strength (HGS/W) method had the highest mortality hazard ratio (HR, 1.51; 95% CI, 1.34−1.70; p < 0.001). GLIM-defined malnutrition was diagnosed in 47.6% of patients. Severe malnutrition was an independent mortality risk factor for OS (HR, 1.25; 95% CI, 1.10−1.42; p < 0.001). The GLIM nomogram showed good performance in predicting the survival of CRC patients and was clinically beneficial. Our findings support the effectiveness of GLIM in diagnosing malnutrition and predicting OS in CRC patients.
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Impact of disease burden or inflammation on nutritional assessment by the GLIM criteria in female patients with rheumatoid arthritis. Clin Nutr ESPEN 2022; 52:353-359. [PMID: 36513475 DOI: 10.1016/j.clnesp.2022.09.016] [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: 06/17/2022] [Revised: 08/13/2022] [Accepted: 09/13/2022] [Indexed: 01/28/2023]
Abstract
BACKGROUND & AIMS In 2018, the Global Leadership Initiative on Malnutrition (GLIM) released a global standard for evaluating malnutrition. The etiologies of malnutrition in the GLIM criteria includes disease burden/inflammation, but how this view affects nutritional assessment remains unclear. This study aimed to investigate the impact of disease burden/inflammation on the proportion of malnourished patients defined by GLIM criteria, and how differences in methods for determining disease burden/inflammation in GLIM criteria affect existing nutritional indices among patients with rheumatoid arthritis (RA). We also investigated factors associated with malnutrition in RA patients. METHODS Data from 135 female RA patients (66.8 ± 12.6 years) were cross-sectionally analyzed. Among the etiologies of malnutrition, disease burden/inflammation was defined as: (1) moderate or higher disease activity score (disease activity score composite of the 28-joint score and erythrocyte sedimentation rate [DAS28-ESR] ≥ 3.2) [DAS-malnutrition (MN)]; (2) elevated C-reactive protein (CRP) ≥0.5 mg/dL (CRP-MN); and (3) presence of RA (RA-MN). In each of the three conditions, nutritional indicators between well-nourished and malnourished groups were compared by analysis of covariance. Factors associated with malnutrition were analyzed with logistic regression analysis. RESULTS The frequencies of malnutrition as defined by DAS-MN, CRP-MN, and RA-MN were 39%, 30%, and 71%, respectively. When malnutrition was defined by the DAS-MN and/or the CRP-MN, grip strength and serum ceruloplasmin, iron, and zinc levels showed significant differences between the well-nourished and malnourished groups (p < 0.05). The use of targeted synthetic or biological disease-modifying antirheumatic drugs (ts-/b-DMARD) (OR = 0.29; 95% CI 0.11-0.82), grip strength (OR = 0.83; 95% CI 0.75-0.91), subjective reduction in walking speed (OR = 5.24; 1.85-14.86) were significantly associated with malnutrition as determined by DAS-MN. CONCLUSION Differences in disease burden/inflammation affect nutritional assessments. The number of malnourished patients with RA was negatively associated with the use of ts-/b-DMARDs and high physical function in women.
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Orell HK, Pohju AK, Osterlund P, Schwab US, Ravasco P, Mäkitie A. GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer. Front Nutr 2022; 9:1030619. [PMID: 36483923 PMCID: PMC9724589 DOI: 10.3389/fnut.2022.1030619] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 11/02/2022] [Indexed: 07/21/2023] Open
Abstract
AIM This study aimed to determine the prevalence of malnutrition in a head and neck cancer (HNC) population according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess its relation to survival. The secondary aim was to compare GLIM criteria to Patient-Generated Subjective Global Assessment (PG-SGA) and Nutritional Risk Screening 2002 (NRS 2002) methods. METHODS The assessment was performed in a series of 65 curative patients with newly diagnosed HNC in a nutrition intervention study. Malnutrition was defined as PG-SGA classes BC and nutritional risk as NRS 2002 score ≥3 and was retrospectively diagnosed with GLIM criteria in prospectively collected data at diagnosis. Sensitivity, specificity, and kappa (κ) were analyzed. Predictive accuracy was assessed by calculating the area under curve (AUC) b y receiver operating characteristic (ROC) analysis. Kaplan-Meier and Cox regression analyses were used to evaluate association between malnutrition and overall survival (OS), and disease-free survival (DFS). RESULTS GLIM-defined malnutrition was present in 37% (24/65) of patients. The GLIM showed 77% sensitivity and 84% specificity with agreement of κ = 0.60 and accuracy of AUC = 0.80 (p < 0.001) with PG-SGA and slightly higher sensitivity (83%) with NRS 2002 (κ = 0.58). Patients with GLIM-defined malnutrition had shorter OS (56 vs. 72 months, HR 2.26, 95% CI 1.07-4.77, p = 0.034) and DFS (37 vs. 66 months, HR 2.01, 95% CI 0.99-4.09, p = 0.054), than well-nourished patients. The adjusted HR was 2.53 (95% CI 1.14-5.47, p = 0.023) for OS and 2.10 (95% CI 0.98-4.48, p = 0.056) for DFS in patients with GLIM-defined malnutrition. CONCLUSION A substantial proportion of HNC patients were diagnosed with malnutrition according to the GLIM criteria and this showed a moderate agreement with NRS 2002- and PG-SGA-defined malnutrition. Even though the GLIM criteria had strong association with OS, its diagnostic value was poor. Therefore, the GLIM criteria seem potential for malnutrition diagnostics and outcome prediction in the HNC patient population. Furthermore, NRS 2002 score ≥3 indicates high nutritional risk in this patient group.
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Affiliation(s)
- Helena Kristiina Orell
- Clinical Nutrition Unit, Internal Medicine and Rehabilitation, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Anne Katariina Pohju
- Clinical Nutrition Unit, Internal Medicine and Rehabilitation, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Pia Osterlund
- Department of Oncology, Tampere University Hospital, Tampere, Finland
- Department of Oncology/GI-cancer, Karolinska University Hospital, Stockholm, Finland
- Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Finland
- Department of Oncology, Helsinki University Hospital, Helsinki, Finland
| | - Ursula Sonja Schwab
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, Kuopio, Sweden
| | - Paula Ravasco
- Universidade Católica Portuguesa, Católica Medical School and Centre for Interdisciplinary Research in Health (CIIS), Lisbon, Portugal
- Clinical Research Unit, Egas Moniz Interdisciplinary Research Center, Almada, Portugal
| | - Antti Mäkitie
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Division of Ear, Nose and Throat Diseases, Department of Clinical Sciences, Intervention and Technology, Karolinska University Hospital, Stockholm, Sweden
- Department of Otorhinolaryngology-Head and Neck Surgery, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
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Malnutrition via GLIM Criteria in General Surgery Patients. JOURNAL OF BASIC AND CLINICAL HEALTH SCIENCES 2022. [DOI: 10.30621/jbachs.1175851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Purpose: The purposes are to determine malnutrition in elective general surgery patients via GLIM criteria, compare GLIM criteria with NRS2002 and to determine the effect of malnutrition on Length of Stay (LoS).
Materials and Methods: Malnutrition was detected with NRS2002 and GLIM. GLIM was evaluated in two different ways as 1-NRS2002 (first four questions) was used as a preliminary malnutrition screening tool for GLIM and 2-All patients were evaluated with GLIM without a preliminary assessment. Reduced muscle mass in GLIM, was assessed using different anthropometric measurements and cut-off points. In total, 10 different GLIM models were constituted. Data were collected within 48 hours of admission. Agreement between malnutrition tools was determined via Kappa. Logistic regression models were established to present the effect of malnutrition on long LoS. p
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Gascón-Ruiz M, Casas-Deza D, Marti-Pi M, Torres-Ramón I, Zapata-García M, Sesma A, Lambea J, Álvarez-Alejandro M, Quilez E, Isla D, Arbonés-Mainar JM. Diagnosis of Malnutrition According to GLIM Criteria Predicts Complications and 6-Month Survival in Cancer Outpatients. Biomedicines 2022; 10:biomedicines10092201. [PMID: 36140301 PMCID: PMC9496397 DOI: 10.3390/biomedicines10092201] [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: 08/04/2022] [Revised: 08/30/2022] [Accepted: 09/03/2022] [Indexed: 11/16/2022] Open
Abstract
Background and Aims: Malnutrition is a condition that has a great impact on oncology patients. Poor nutritional status is often associated with increased morbidity and mortality, increased toxicity, and reduced tolerance to chemotherapy, among other complications. The recently developed GLIM criteria for malnutrition aim to homogenize its diagnosis, considering the baseline disease status. We aimed to evaluate the performance of these new criteria for the prediction of complications and mortality in patients with cancer. Methods: This work is a prospective, single-center study. All outpatients under active treatment for head and neck, upper gastrointestinal, and colorectal tumors between February and October 2020 were recruited. These patients were followed up for 6 months, assessing the occurrence of complications and survival based on GLIM diagnoses of malnutrition. Results: We enrolled 165 outpatients, 46.66% of whom were malnourished. During the 6-month follow-ups, patients with malnutrition (46.7%, according to GLIM criteria) had a ~3-fold increased risk of hospital admission (p < 0.001) and occurrence of severe infection (considered as those requiring hospitalization, intravenous antibiotics, and/or drainage by interventional procedures) (p = 0.002). Similarly, malnourished patients had a 3.5-fold increased risk of poor pain control and a 4.4-fold increased need for higher doses of opioids (both p < 0.001). They also had a 2.6-fold increased risk of toxicity (p = 0.044) and a 2.5-fold increased likelihood of needing a dose decrease or discontinuation of cancer treatment (p = 0.011). The 6-month survival of malnourished patients was significantly lower (p = 0.023) than in non-malnourished patients. Conclusions: Diagnoses of malnutrition according to the GLIM criteria in oncology patients undergoing active treatment predict increased complications and worse survival at 6-month follow-ups, making them a useful tool for assessing the nutritional status of oncology patients.
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Affiliation(s)
- Marta Gascón-Ruiz
- Medical Oncology Department, University Hospital Lozano Blesa, Av San Juan Bosco 15, 50009 Zaragoza, Spain
- Instituto de Investigación Sanitaria (IIS) de Aragón, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
| | - Diego Casas-Deza
- Instituto de Investigación Sanitaria (IIS) de Aragón, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
- Gastroenterology and Hepatology Department, University Hospital Miguel Servet, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
- Correspondence: ; Tel.: +34-610913521
| | - Maria Marti-Pi
- Medical Oncology Department, University Hospital Lozano Blesa, Av San Juan Bosco 15, 50009 Zaragoza, Spain
| | - Irene Torres-Ramón
- Medical Oncology Department, University Hospital Lozano Blesa, Av San Juan Bosco 15, 50009 Zaragoza, Spain
- Instituto de Investigación Sanitaria (IIS) de Aragón, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
| | - María Zapata-García
- Medical Oncology Department, University Hospital Lozano Blesa, Av San Juan Bosco 15, 50009 Zaragoza, Spain
- Instituto de Investigación Sanitaria (IIS) de Aragón, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
| | - Andrea Sesma
- Medical Oncology Department, University Hospital Lozano Blesa, Av San Juan Bosco 15, 50009 Zaragoza, Spain
- Instituto de Investigación Sanitaria (IIS) de Aragón, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
| | - Julio Lambea
- Medical Oncology Department, University Hospital Lozano Blesa, Av San Juan Bosco 15, 50009 Zaragoza, Spain
- Instituto de Investigación Sanitaria (IIS) de Aragón, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
| | - María Álvarez-Alejandro
- Medical Oncology Department, University Hospital Lozano Blesa, Av San Juan Bosco 15, 50009 Zaragoza, Spain
- Instituto de Investigación Sanitaria (IIS) de Aragón, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
| | - Elisa Quilez
- Medical Oncology Department, University Hospital Lozano Blesa, Av San Juan Bosco 15, 50009 Zaragoza, Spain
- Instituto de Investigación Sanitaria (IIS) de Aragón, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
| | - Dolores Isla
- Medical Oncology Department, University Hospital Lozano Blesa, Av San Juan Bosco 15, 50009 Zaragoza, Spain
- Instituto de Investigación Sanitaria (IIS) de Aragón, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
| | - Jose Miguel Arbonés-Mainar
- Instituto de Investigación Sanitaria (IIS) de Aragón, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
- Translational Research Unit, University Hospital Miguel Servet, Instituto Aragonés de Ciencias de la Salud (IACS), Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain
- Biomedical Research Center in Physiopathology of Obesity and Nutrition (CIBERon), Health Institute Carlos III (ISCIII), Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
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Compher C, Cederholm T, Correia MITD, Gonzalez MC, Higashiguch T, Shi HP, Bischoff SC, Boirie Y, Carrasco F, Cruz-Jentoft A, Fuchs-Tarlovsky V, Fukushima R, Heymsfield SB, Mourtzakis M, Muscaritoli M, Norman K, Nyulasi I, Pisprasert V, Prado CM, de van der Schuren M, Yoshida S, Yu J, Jensen G, Barazzoni R. Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition diagnosis of malnutrition. JPEN J Parenter Enteral Nutr 2022; 46:1232-1242. [PMID: 35437785 DOI: 10.1002/jpen.2366] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 02/21/2022] [Accepted: 03/06/2022] [Indexed: 02/06/2023]
Abstract
The Global Leadership Initiative on Malnutrition (GLIM) provides consensus criteria for the diagnosis of malnutrition that can be widely applied. The GLIM approach is based on the assessment of three phenotypic (weight loss, low body mass index, and low skeletal muscle mass) and two etiologic (low food intake and presence of disease with systemic inflammation) criteria, with diagnosis confirmed by any combination of one phenotypic and one etiologic criterion fulfilled. Assessment of muscle mass is less commonly performed than other phenotypic malnutrition criteria, and its interpretation may be less straightforward, particularly in settings that lack access to skilled clinical nutrition practitioners and/or to body composition methodologies. In order to promote the widespread assessment of skeletal muscle mass as an integral part of the GLIM diagnosis of malnutrition, the GLIM consortium appointed a working group to provide consensus-based guidance on assessment of skeletal muscle mass. When such methods and skills are available, quantitative assessment of muscle mass should be measured or estimated using dual-energy x-ray absorptiometry, computerized tomography, or bioelectrical impedance analysis. For settings where these resources are not available, then the use of anthropometric measures and physical examination are also endorsed. Validated ethnic- and sex-specific cutoff values for each measurement and tool are recommended when available. Measurement of skeletal muscle function is not advised as surrogate measurement of muscle mass. However, once malnutrition is diagnosed, skeletal muscle function should be investigated as a relevant component of sarcopenia and for complete nutrition assessment of persons with malnutrition.
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Affiliation(s)
- Charlene Compher
- Department of Biobehavioral Health Science, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
| | - Tommy Cederholm
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
- Theme Inflammation & Ageing, Karolinska University Hospital, Stockholm, Sweden
| | - Maria Isabel T D Correia
- Department of Surgery, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Maria Cristina Gonzalez
- Post-Graduate Program in Health and Behavior, Catholic University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | | | - Han Ping Shi
- Key Laboratory of Cancer FSMP for State Market Regulation, Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Stephan C Bischoff
- Department of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany
| | - Yves Boirie
- Unité de Nutrition Humaine, Clinical Nutrition Department, INRAE, CHU Clermont-Ferrand, CRNH Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Fernando Carrasco
- Department of Nutrition, Faculty of Medicine, Nutrition and Bariatric Surgery Center, University of Chile, and Clínica Las Condes, Santiago, Chile
| | - Alfonso Cruz-Jentoft
- Servicio de Geriatría, Hospital Universitario Ramón y Cajal (IRYCIS), Madrid, Spain
| | | | - Ryoji Fukushima
- Department of Surgery, Teikyo University School of Medicine/Health and Dietetics Teikyo Heisei University, Tokyo, Japan
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Marina Mourtzakis
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Maurizio Muscaritoli
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | - Kristina Norman
- Department of Geriatrics and Medical Gerontology, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Ibolya Nyulasi
- Nutrition Department, The Alfred Hospital, Melbourne, Victoria, Australia
- Department of Dietetics, Nutrition and Sport, LaTrobe University, Bundoora, Victoria, Australia
- Department of Medicine, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Veeradej Pisprasert
- Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Carla M Prado
- Human Nutrition Research Unit, Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Marian de van der Schuren
- Department of Nutrition, Dietetics and Lifestyle, School of Allied Health, HAN University of Applied Sciences, Nijmegen, The Netherlands
- Wageningen University & Research, Human Nutrition and Health, Wageningen, The Netherlands
| | - Sadao Yoshida
- Department of Rehabilitation, Chuzan Hospital, Okinawa-city, Okinawa Prefecture, Japan
| | - Jianchun Yu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Gordon Jensen
- Dean's Office, Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
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Ren SS, Zhu MW, Zhang KW, Chen BW, Yang C, Xiao R, Li PG. Machine Learning-Based Prediction of In-Hospital Complications in Elderly Patients Using GLIM-, SGA-, and ESPEN 2015-Diagnosed Malnutrition as a Factor. Nutrients 2022; 14:nu14153035. [PMID: 35893889 PMCID: PMC9331502 DOI: 10.3390/nu14153035] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/21/2022] [Accepted: 07/21/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Malnutrition is prevalent in elderly inpatients and is associated with various adverse outcomes during their hospital stay, but the diagnosis of malnutrition still lacks widely applicable criteria. This study aimed to investigate the association of malnutrition diagnosed with the SGA, ESPEN 2015, and GLIM criteria, respectively, with in-hospital complications in elderly patients. Method: Hospitalized patients over 65 years old who had been assessed with the SGA guideline for malnutrition at admission were retrospectively recruited from a large observational cohort study conducted in 34 level-A tertiary hospitals in 18 cities in China from June to September 2014. Malnutrition was then retrospectively diagnosed using the GLIM and ESPEN 2015 criteria, respectively, for comparison with the results of the SGA scale. The risk factors for malnutrition were analyzed using logistic regression, and the value of the three diagnostic criteria in predicting the in-hospital complications was subsequently explored using multivariate regression and the random forest machine learning algorithm. Results: A total of 2526 subjects who met the inclusion and exclusion criteria of the study were selected from the 7122 patients in the dataset, with an average age of 74.63 ± 7.12 years, 59.2% male, and 94.2% married. According to the GLIM, SGA, and ESPEN 2015 criteria, the detection rates of malnutrition were 37.8% (956 subjects), 32.8% (829 subjects), and 17.0% (429 subjects), respectively. The diagnostic consistency between the GLIM and the SGA criteria is better than that between the ESPEN 2015 and the SGA criteria (Kappa statistics, 0.890 vs. 0.590). Logistic regression showed that the risk of developing complications in the GLIM-defined malnutrition patients is 2.414 times higher than that of normal patients, higher than those of the ESPEN 2015 and SGA criteria (1.786 and 1.745 times, respectively). The random forest classifications show that the GLIM criteria have a higher ability to predict complications in these elderly patients than the SGA and ESPEN 2015 criteria with a mean decrease in accuracy of 12.929, 10.251, and 5.819, respectively, and a mean decrease in Gini of 2.055, 1.817, and 1.614, respectively. Conclusion: The prevalence of malnutrition diagnosed with the GLIM criteria is higher than that of the SGA and the ESPEN 2015 criteria. The GLIM criteria are better than the SGA and the ESPEN 2015 criteria for predicting in-hospital complications in elderly patients.
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Affiliation(s)
- Shan-Shan Ren
- Department of Clinical nutrition, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China; (S.-S.R.); (M.-W.Z.)
- The Key Laboratory of Geriatrics, National Center of Gerontology, National Health Commission, Beijing Hospital, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ming-Wei Zhu
- Department of Clinical nutrition, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China; (S.-S.R.); (M.-W.Z.)
- The Key Laboratory of Geriatrics, National Center of Gerontology, National Health Commission, Beijing Hospital, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Kai-Wen Zhang
- School of Public Health, Capital Medical University, Beijing 100069, China; (K.-W.Z.); (B.-W.C.); (C.Y.); (R.X.)
- Beijing Key Laboratory of Environmental Toxicology, Beijing 100069, China
- Beijing Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Bo-Wen Chen
- School of Public Health, Capital Medical University, Beijing 100069, China; (K.-W.Z.); (B.-W.C.); (C.Y.); (R.X.)
- Beijing Key Laboratory of Environmental Toxicology, Beijing 100069, China
- Beijing Key Laboratory of Clinical Epidemiology, Beijing 100069, China
- Sir Run Run Shaw Hospital, Hangzhou 310000, China
| | - Chun Yang
- School of Public Health, Capital Medical University, Beijing 100069, China; (K.-W.Z.); (B.-W.C.); (C.Y.); (R.X.)
- Beijing Key Laboratory of Environmental Toxicology, Beijing 100069, China
- Beijing Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Rong Xiao
- School of Public Health, Capital Medical University, Beijing 100069, China; (K.-W.Z.); (B.-W.C.); (C.Y.); (R.X.)
- Beijing Key Laboratory of Environmental Toxicology, Beijing 100069, China
- Beijing Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Peng-Gao Li
- School of Public Health, Capital Medical University, Beijing 100069, China; (K.-W.Z.); (B.-W.C.); (C.Y.); (R.X.)
- Beijing Key Laboratory of Environmental Toxicology, Beijing 100069, China
- Beijing Key Laboratory of Clinical Epidemiology, Beijing 100069, China
- Correspondence: ; Tel.: +86-10-8391-1652
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Kiss N, Curtis A. Current Insights in Nutrition Assessment and Intervention for Malnutrition or Muscle Loss in People with Lung Cancer: A Narrative Review. Adv Nutr 2022; 13:2420-2432. [PMID: 35731630 PMCID: PMC9776626 DOI: 10.1093/advances/nmac070] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/17/2022] [Accepted: 06/16/2022] [Indexed: 01/29/2023] Open
Abstract
Up to 70% of people with lung cancer may be affected by cancer-related malnutrition or muscle loss, depending on treatment modality and disease stage. This narrative review explores recent studies on malnutrition and muscle loss as well as nutritional and multimodal interventions to treat these conditions in the context of the changing treatment landscape in lung cancer. Various types of interventions, including individualized counseling, protein and other specific nutrient supplementation, as well as multimodal interventions to treat malnutrition and muscle loss, have been investigated. Overall, individualized dietary counseling, increasing protein intake, and supplementation with omega-3 (n-3) fatty acids appear to be beneficial for some, albeit varying, patient outcomes. Multimodal interventions, generally including a nutrition and exercise component, show promising results; however, the impact on patient outcomes is mixed. A key finding of this review is a lack of large, randomized trials to guide nutrition intervention specifically in people with lung cancer. Despite the high prevalence of malnutrition and muscle loss in people with lung cancer and the known adverse outcomes, current evidence for nutrition intervention is limited. A targeted effort is required to improve the quality of evidence for nutrition intervention in this population to provide support for clinicians to deliver effective nutrition care.
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Affiliation(s)
| | - Annie Curtis
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
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Development and Validation of Global Leadership Initiative on Malnutrition for Prognostic Prediction in Patients Who Underwent Cardiac Surgery. Nutrients 2022; 14:nu14122409. [PMID: 35745139 PMCID: PMC9230873 DOI: 10.3390/nu14122409] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/01/2022] [Accepted: 06/07/2022] [Indexed: 02/01/2023] Open
Abstract
The Global Leadership Initiative on Malnutrition (GLIM) has achieved a consensus for the diagnosis of malnutrition in recent years. This study aims to determine the prognostic effect of the GLIM after cardiac surgery. A total of 603 patients in the training cohort and 258 patients in the validation cohort were enrolled in this study. Perioperative characteristics and follow-up data were collected. A nomogram based on independent prognostic predictors was developed for survival prediction. In total, 114 (18.9%) and 48 (18.6%) patients were defined as being malnourished according to the GLIM criteria in the two cohorts, respectively. Multivariate regression analysis showed that GLIM-defined malnutrition was an independent risk factor of total complication (OR 1.661, 95% CI: 1.063–2.594) and overall survival (HR 2.339, 95% CI: 1.504–3.637). The c-index was 0.72 (95% CI: 0.66–0.79) and AUC were 0.800, 0.798, and 0.780 for 1-, 2-, and 3-year survival prediction, respectively. The calibration curves of the nomogram fit well. In conclusion, GLIM criteria can efficiently identify malnutrition and has a prognostic effect on clinical outcomes after cardiac surgery. GLIM-based nomogram has favorable performance in survival prediction.
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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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Barazzoni R, Jensen GL, Correia MITD, Gonzalez MC, Higashiguchi T, Shi HP, Bischoff SC, Boirie Y, Carrasco F, Cruz-Jentoft A, Fuchs-Tarlovsky V, Fukushima R, Heymsfield S, Mourtzakis M, Muscaritoli M, Norman K, Nyulasi I, Pisprasert V, Prado C, de van der Schuren M, Yoshida S, Yu Y, Cederholm T, Compher C. Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition (GLIM) diagnosis of malnutrition. Clin Nutr 2022; 41:1425-1433. [PMID: 35450768 DOI: 10.1016/j.clnu.2022.02.001] [Citation(s) in RCA: 134] [Impact Index Per Article: 67.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 02/02/2022] [Indexed: 01/02/2023]
Abstract
The Global Leadership Initiative on Malnutrition (GLIM) provides consensus criteria for the diagnosis of malnutrition that can be widely applied. The GLIM approach is based on the assessment of three phenotypic (weight loss, low body mass index, and low skeletal muscle mass) and two etiologic (low food intake and presence of disease with systemic inflammation) criteria, with diagnosis confirmed by any combination of one phenotypic and one etiologic criterion fulfilled. Assessment of muscle mass is less commonly performed than other phenotypic malnutrition criteria, and its interpretation may be less straightforward, particularly in settings that lack access to skilled clinical nutrition practitioners and/or to body composition methodologies. In order to promote the widespread assessment of skeletal muscle mass as an integral part of the GLIM diagnosis of malnutrition, the GLIM consortium appointed a working group to provide consensus-based guidance on assessment of skeletal muscle mass. When such methods and skills are available, quantitative assessment of muscle mass should be measured or estimated using dual-energy x-ray absorptiometry, computerized tomography, or bioelectrical impedance analysis. For settings where these resources are not available, then the use of anthropometric measures and physical examination are also endorsed. Validated ethnic- and sex-specific cutoff values for each measurement and tool are recommended when available. Measurement of skeletal muscle function is not advised as surrogate measurement of muscle mass. However, once malnutrition is diagnosed, skeletal muscle function should be investigated as a relevant component of sarcopenia and for complete nutrition assessment of persons with malnutrition.
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Affiliation(s)
- Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy.
| | - Gordon L Jensen
- Dean's Office, Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Maria Isabel T D Correia
- Department of Surgery, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Maria Cristina Gonzalez
- Post-Graduate Program in Health and Behavior, Catholic University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | | | - Han Ping Shi
- Key Laboratory of Cancer FSMP for State Market Regulation, Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Stephan C Bischoff
- Department of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany
| | - Yves Boirie
- Unité de Nutrition Humaine, Clinical Nutrition Department, INRAE, CHU Clermont-Ferrand, CRNH Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Fernando Carrasco
- Department of Nutrition, Faculty of Medicine, Nutrition and Bariatric Surgery Center, University of Chile, Clínica Las Condes, Santiago, Chile
| | - Alfonso Cruz-Jentoft
- Servicio de Geriatría, Hospital Universitario Ramón y Cajal (IRYCIS), Madrid, Spain
| | | | - Ryoji Fukushima
- Department of Surgery Teikyo University School of Medicine/Health and Dietetics Teikyo Heisei University, Tokyo, Japan
| | - Steve Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Marina Mourtzakis
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Maurizio Muscaritoli
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | - Kristina Norman
- Department of Geriatrics and Medical Gerontology, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany; Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Ibolya Nyulasi
- Nutrition Department, The Alfred Hospital, Melbourne, Victoria, Australia; Department of Dietetics, Nutrition and Sport, LaTrobe University, Bundoora, Victoria, Australia; Department of Medicine, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Veeradej Pisprasert
- Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Carla Prado
- Human Nutrition Research Unit, Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Marian de van der Schuren
- Department of Nutrition, Dietetics and Lifestyle, School of Allied Health, HAN University of Applied Sciences, Nijmegen, the Netherlands; Wageningen University & Research, Human Nutrition and Health, Wageningen, the Netherlands
| | - Sadao Yoshida
- Department of Rehabilitation, Chuzan Hospital, Okinawa-city, Okinawa Prefecture, Japan
| | - Yanchun Yu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Tommy Cederholm
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden; Theme Inflammation & Ageing, Karolinska University Hospital, Stockholm, Sweden
| | - Charlene Compher
- Department of Biobehavioral Health Science, University of Pennsylvania School of Nursing, Philadelphia, PA, USA
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Yin L, Song C, Cui J, Lin X, Li N, Fan Y, Zhang L, Liu J, Chong F, Wang C, Liang T, Liu X, Deng L, Yang M, Yu J, Wang X, Liu X, Yang S, Zuo Z, Yuan K, Yu M, Cong M, Li Z, Weng M, Yao Q, Jia P, Li S, Guo Z, Li W, Shi H, Xu H. De novo Creation and Assessment of a Prognostic Fat-Age-Inflammation Index “FAIN” in Patients With Cancer: A Multicenter Cohort Study. Front Nutr 2022; 9:860285. [PMID: 35495957 PMCID: PMC9043856 DOI: 10.3389/fnut.2022.860285] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Background and Aims Malnutrition is highly prevalent and is related to multiple impaired clinical outcomes in cancer patients. This study aimed to de novo create an objective, nutrition-related index specially for prognostic purposes in oncology populations. Methods We performed a multicenter cohort study including 14,134 cancer patients. The prognostic impact for each baseline characteristic was estimated by calculating Harrell's C-index. The optimal parameters reflecting the nutritional and inflammatory impact on patients' overall survival were selected to develop the fat-age-inflammation (FAIN) index. The associations of the FAIN with the nutritional status, physical performance, quality of life, short-term outcomes and mortality of patients were comprehensively evaluated. Independent external validation was performed to further assess the prognostic value of the FAIN. Results The study enrolled 7,468 men and 6,666 women with a median age of 57 years and a median follow-up of 42 months. The FAIN index was defined as: (triceps skinfold thickness + albumin) / [age + 5 × (neutrophil count/lymphocyte count)]. There were significant associations of the FAIN with the nutritional status, physical performance, quality of life and short-term outcomes. The FAIN also showed better discrimination performance than the Nutritional Risk Index, the Prognostic Nutritional Index and the Controlling Nutritional Status index (all P < 0.05). In multivariable-adjusted models, the FAIN was independently associated with a reduced death hazard both as a continuous variable (HR = 0.57, 95%CI = 0.47–0.68) and per one standard deviation (HR = 0.83, 95%CI = 0.78–0.88). External validation in a multicenter lung cancer cohort (n = 227) further confirmed the prognostic value of the FAIN. Conclusions This study created and assessed the prognostic FAIN index, which might act as a feasible option to monitor the nutritional status and help develop intervention strategies to optimize the survival outcomes of cancer patients.
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Affiliation(s)
- Liangyu Yin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Institute of Hepatopancreatobiliary Surgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chunhua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jiuwei Cui
- Cancer Center, The First Hospital, Jilin University, Changchun, China
| | - Xin Lin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Na Li
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yang Fan
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ling Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jie Liu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Feifei Chong
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chang Wang
- Cancer Center, The First Hospital, Jilin University, Changchun, China
| | - Tingting Liang
- Cancer Center, The First Hospital, Jilin University, Changchun, China
| | - Xiangliang Liu
- Cancer Center, The First Hospital, Jilin University, Changchun, China
| | - Li Deng
- Cancer Center, The First Hospital, Jilin University, Changchun, China
| | - Mei Yang
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Jiami Yu
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Xiaojie Wang
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Xing Liu
- Department of Nutrition and Metabolism of Oncology, The First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Cancer Hospital), Hefei, China
| | - Shoumei Yang
- Department of Nutrition and Metabolism of Oncology, The First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Cancer Hospital), Hefei, China
| | - Zheng Zuo
- Department of Nutrition and Metabolism of Oncology, The First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Cancer Hospital), Hefei, China
| | - Kaitao Yuan
- Center of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Miao Yu
- Center of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Minghua Cong
- Department of Comprehensive Oncology, National Cancer Center or Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zengning Li
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Min Weng
- Department of Clinical Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Qinghua Yao
- Department of Integrated Chinese and Western Medicine, Cancer Hospital of the University of Chinese Academy of Science (Zhejiang Cancer Hospital), Hangzhou, China
| | - Pingping Jia
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Suyi Li
- Department of Nutrition and Metabolism of Oncology, The First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Cancer Hospital), Hefei, China
| | - Zengqing Guo
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Wei Li
- Cancer Center, The First Hospital, Jilin University, Changchun, China
- *Correspondence: Wei Li
| | - Hanping Shi
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Hanping Shi
| | - Hongxia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Hongxia Xu
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Kaegi-Braun N, Boesiger F, Tribolet P, Gomes F, Kutz A, Hoess C, Pavlicek V, Bilz S, Sigrist S, Brändle M, Henzen C, Thomann R, Rutishauser J, Aujesky D, Rodondi N, Donzé J, Stanga Z, Lobo DN, Cederholm T, Mueller B, Schuetz P. Validation of modified GLIM criteria to predict adverse clinical outcome and response to nutritional treatment: A secondary analysis of a randomized clinical trial. Clin Nutr 2022; 41:795-804. [PMID: 35263688 DOI: 10.1016/j.clnu.2022.02.009] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 02/12/2022] [Accepted: 02/14/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND & AIMS The Global Leadership Initiative on Malnutrition (GLIM) recently suggested specific criteria to standardize the diagnosis of malnutrition. There is need for validation of these criteria regarding response to nutrition treatment. Our aim was to validate modified GLIM (mGLIM) criteria among medical inpatients at risk of disease related malnutrition for prediction of outcome and response to nutritional therapy. METHODS This is a secondary analysis of the Effect of Early Nutritional Support on Frailty, Functional Outcomes, and Recovery of Malnourished Medical Inpatients Trial (EFFORT), a multicenter randomized controlled trial conducted between April 2014 and February 2018. Adult medical inpatients at nutritional risk (Nutrition Risk Score 2002 ≥ 3 points) were randomly assigned to receive nutritional therapy according to an algorithm based on individualized nutritional requirements (intervention group) or standard hospital food (control group). We included all participants with available information regarding mGLIM criteria. The primary outcome was adverse clinical outcome, which was a composite of 30-day all-cause mortality, ICU-admission, rehospitalization rate, major complications and decline in functional status. RESULTS Of 1917 eligible participants at nutritional risk, 1181 (61.6%) met the diagnosis of malnutrition based on mGLIM criteria. The incidence of adverse clinical outcome was significantly higher in mGLIM-positive participants compared with mGLIM-negative participants [330/1181 (27.9%) versus 140/736 (19.0%); multivariable adjusted odds ratio [OR] 1.53; 95% CI 1.22-1.93; p < 0.001]. Regarding the effect of nutritional therapy, the reduction in adverse clinical outcomes was higher in mGLIM-positive participants [180/581 (31.0%) vs. 150/600 (25.0%), OR 0.69; 95% CI 0.53-0.9, p = 0.007], compared with mGLIM-negative participants [75/379 (19.8%) versus 65/357 (18.2%), OR 0.95; 95% CI 0.65-1.40, p = 0.797], a finding that was, however, not significant in interaction analysis (p for interaction = 0.217). CONCLUSION Data from this secondary analysis of a multicenter randomized trial involving medical inpatients at nutritional risk validate the strong prognostic value of mGLIM criteria regarding adverse clinical outcomes and other long-term outcomes. However, further research is needed to improve the ability of GLIM criteria to predict therapeutic response to nutritional interventions. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02517476.
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Affiliation(s)
- Nina Kaegi-Braun
- Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Aarau, Switzerland
| | - Fabienne Boesiger
- Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Aarau, Switzerland
| | - Pascal Tribolet
- Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland; Faculty of Life Sciences, University of Vienna, Vienna, Austria
| | - Filomena Gomes
- The New York Academy of Sciences, New York, NY, USA; NOVA Medical School, Universidade NOVA de Lisboa, Lisboa, Portugal
| | - Alexander Kutz
- Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Aarau, Switzerland
| | - Claus Hoess
- Internal Medicine, Kantonsspital Münsterlingen, Münsterlingen, Switzerland
| | - Vojtech Pavlicek
- Internal Medicine, Kantonsspital Münsterlingen, Münsterlingen, Switzerland
| | - Stefan Bilz
- Internal Medicine and Endocrinology, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Sarah Sigrist
- Internal Medicine and Endocrinology, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Michael Brändle
- Internal Medicine and Endocrinology, Kantonsspital St Gallen, St Gallen, Switzerland
| | | | - Robert Thomann
- Internal Medicine, Bürgerspital Solothurn, Solothurn, Switzerland
| | - Jonas Rutishauser
- Internal Medicine, Kantonsspital Baselland, Standort Bruderholz, Switzerland
| | - Drahomir Aujesky
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Nicolas Rodondi
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Jacques Donzé
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Zeno Stanga
- Division of Diabetes, Endocrinology, Nutritional Medicine, and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dileep N Lobo
- Nottingham Digestive Diseases Centre and National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and University of Nottingham, Queen's Medical Centre, Nottingham, UK; MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, UK
| | - Tommy Cederholm
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden; Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Beat Mueller
- Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Aarau, Switzerland; Medical Faculty of the University of Basel, Basel, Switzerland
| | - Philipp Schuetz
- Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Aarau, Switzerland; Medical Faculty of the University of Basel, Basel, Switzerland.
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Comparison of the prevalence of 21 GLIM phenotypic and etiologic criteria combinations and association with 30-day outcomes in people with cancer: a retrospective observational study. Clin Nutr 2022; 41:1102-1111. [DOI: 10.1016/j.clnu.2022.03.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 03/17/2022] [Accepted: 03/20/2022] [Indexed: 11/21/2022]
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Turner K, Brownstein NC, Thompson Z, Naqa IE, Luo Y, Jim HS, Rollison DE, Howard R, Zeng D, Rosenberg SA, Perez B, Saltos A, Oswald LB, Gonzalez BD, Islam JY, Tabriz AA, Zhang W, Dilling TJ. Longitudinal patient-reported outcomes and survival among early-stage non-small cell lung cancer patients receiving stereotactic body radiotherapy. Radiother Oncol 2022; 167:116-121. [PMID: 34953934 PMCID: PMC8934278 DOI: 10.1016/j.radonc.2021.12.021] [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: 10/13/2021] [Revised: 12/07/2021] [Accepted: 12/15/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND PURPOSE The study objective was to determine whether longitudinal changes in patient-reported outcomes (PROs) were associated with survival among early-stage, non-small cell lung cancer (NSCLC) patients undergoing stereotactic body radiation therapy (SBRT). MATERIALS AND METHODS Data were obtained from January 2015 through March 2020. We ran a joint probability model to assess the relationship between time-to-death, and longitudinal PRO measurements. PROs were measured through the Edmonton Symptom Assessment Scale (ESAS). We controlled for other covariates likely to affect symptom burden and survival including stage, tumor diameter, comorbidities, gender, race/ethnicity, relationship status, age, and smoking status. RESULTS The sample included 510 early-stage NSCLC patients undergoing SBRT. The median age was 73.8 (range: 46.3-94.6). The survival component of the joint model demonstrates that longitudinal changes in ESAS scores are significantly associated with worse survival (HR: 1.04; 95% CI: 1.02-1.05). This finding suggests a one-unit increase in ESAS score increased probability of death by 4%. Other factors significantly associated with worse survival included older age (HR: 1.04; 95% CI: 1.03-1.05), larger tumor diameter (HR: 1.21; 95% CI: 1.01-1.46), male gender (HR: 1.87; 95% CI: 1.36-2.57), and current smoking status (HR: 2.39; 95% CI: 1.25-4.56). CONCLUSION PROs are increasingly being collected as a part of routine care delivery to improve symptom management. Healthcare systems can integrate these data with other real-world data to predict patient outcomes, such as survival. Capturing longitudinal PROs-in addition to PROs at diagnosis-may add prognostic value for estimating survival among early-stage NSCLC patients undergoing SBRT.
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Affiliation(s)
- Kea Turner
- Department of Health Outcomes and Behavior, 12902 USF
Magnolia Drive, Moffitt Cancer Center, US
| | - Naomi C. Brownstein
- Department of Biostatistics and Bioinformatics, 12902 USF
Magnolia Drive, Moffitt Cancer Center, US
| | - Zachary Thompson
- Department of Biostatistics and Bioinformatics, 12902 USF
Magnolia Drive, Moffitt Cancer Center, US
| | - Issam El Naqa
- Department of Machine Learning, 12902 USF Magnolia Drive,
Moffitt Cancer Center, US
| | - Yi Luo
- Department of Machine Learning, 12902 USF Magnolia Drive,
Moffitt Cancer Center, US
| | - Heather S.L. Jim
- Department of Health Outcomes and Behavior, 12902 USF
Magnolia Drive, Moffitt Cancer Center, US
| | - Dana E. Rollison
- Department of Cancer Epidemiology, 12902 USF Magnolia
Drive, Moffitt Cancer Center, US
| | - Rachel Howard
- Department of Health Informatics, 12902 USF Magnolia
Drive, Moffitt Cancer Center, US
| | - Desmond Zeng
- Morsani College of Medicine, 12901 Bruce B. Downs
Boulevard, University of South Florida, US
| | - Stephen A. Rosenberg
- Department of Radiation Oncology, 12902 USF Magnolia
Drive, Moffitt Cancer Center, US,Department of Thoracic Oncology, 12902 USF Magnolia Drive,
Moffitt Cancer Center, US
| | - Bradford Perez
- Department of Radiation Oncology, 12902 USF Magnolia
Drive, Moffitt Cancer Center, US,Department of Thoracic Oncology, 12902 USF Magnolia Drive,
Moffitt Cancer Center, US
| | - Andreas Saltos
- Department of Thoracic Oncology, 12902 USF Magnolia Drive,
Moffitt Cancer Center, US
| | - Laura B. Oswald
- Department of Health Outcomes and Behavior, 12902 USF
Magnolia Drive, Moffitt Cancer Center, US
| | - Brian D. Gonzalez
- Department of Health Outcomes and Behavior, 12902 USF
Magnolia Drive, Moffitt Cancer Center, US
| | - Jessica Y. Islam
- Department of Cancer Epidemiology, 12902 USF Magnolia
Drive, Moffitt Cancer Center, US
| | - Amir Alishahi Tabriz
- Department of Health Outcomes and Behavior, 12902 USF
Magnolia Drive, Moffitt Cancer Center, US
| | - Wenbin Zhang
- Department of Machine Learning, 500 Forbes Avenue, Gates
Hillman Center, Carnegie Mellon University, US
| | - Thomas J. Dilling
- Department of Radiation Oncology, 12902 USF Magnolia
Drive, Moffitt Cancer Center, US,Department of Thoracic Oncology, 12902 USF Magnolia Drive,
Moffitt Cancer Center, US
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Song HN, Wang WB, Luo X, Huang DD, Ruan XJ, Xing CG, Chen WZ, Dong QT, Chen XL. Effect of GLIM-defined malnutrition on postoperative clinical outcomes in patients with colorectal cancer. Jpn J Clin Oncol 2022; 52:466-474. [PMID: 35062024 DOI: 10.1093/jjco/hyab215] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/30/2021] [Indexed: 12/12/2022] Open
Abstract
Abstract
Background
Malnutrition is common in colorectal cancer patients. Malnutrition is recognized as a risk factor for adverse postoperative outcomes, yet there are no consistent diagnostic criteria for it. Thus, the Global Leadership Initiative on Malnutrition published new universal criteria. We aimed to investigate the prevalence of malnutrition with the application of Global Leadership Initiative on Malnutrition criteria, and explore the correlations between Global Leadership Initiative on Malnutrition-defined malnutrition and postoperative clinical outcomes in colorectal cancer patients.
Methods
We included a cohort of 918 patients who underwent radical resection surgery for colorectal cancer from July 2014 to October 2019. Malnutrition was diagnosed based on the Global Leadership Initiative on Malnutrition criteria. The associations between nutritional status and postoperative clinical outcomes were analyzed by the Kaplan–Meier method, logistic and Cox regression analyses.
Results
Among the included patients, 23.6% were diagnosed as malnutrition based on Global Leadership Initiative on Malnutrition criteria. Global Leadership Initiative on Malnutrition-defined malnutrition was associated with total postoperative complications [odds ratio: 1.497 (1.042–2.152), P = 0.029]. Further, Global Leadership Initiative on Malnutrition-diagnosed malnutrition was an independent risk factor for overall survival [hazard ratio: 1.647 (1.048–2.587), P = 0.030] and disease-free survival [hazard ratio: 1.690 (1.169–2.441), P = 0.005].
Conclusions
The Global Leadership Initiative on Malnutrition criteria is effective to assess malnutrition. Preoperative malnutrition is associated with postoperative complications, overall survival and disease-free survival in colorectal cancer patients after radical resection surgery.
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Affiliation(s)
- Hao-Nan Song
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Wen-Bin Wang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Xin Luo
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Dong-Dong Huang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Xiao-Jiao Ruan
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Chun-Gen Xing
- Department of General Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Wei-Zhe Chen
- Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital Affiliated to Tongji University, Tongji University School of Medicine, Shanghai, China
| | - Qian-Tong Dong
- Department of General Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Xiao-Lei Chen
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
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Liu C, Lu Z, Li Z, Xu J, Cui H, Zhu M. Influence of Malnutrition According to the GLIM Criteria on the Clinical Outcomes of Hospitalized Patients With Cancer. Front Nutr 2022; 8:774636. [PMID: 35004809 PMCID: PMC8739964 DOI: 10.3389/fnut.2021.774636] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 11/30/2021] [Indexed: 01/04/2023] Open
Abstract
Background: Malnutrition is prevalent among patients with cancer. The Global Leadership Initiative on Malnutrition (GLIM) released new universal criteria for diagnosing malnutrition in 2019. The objectives of this study were to assess the prevalence of malnutrition in patients with cancer using the GLIM criteria, explore the correlation between the GLIM criteria, and clinical outcomes, and compare the GLIM criteria with subjective global assessment (SGA). Methods: This retrospective analysis was conducted on 2,388 patients with cancer enrolled in a multicenter study. Nutritional risk was screened using the Nutritional Risk Screening-2002, and the nutritional status was assessed using SGA and GLIM criteria. Chi-square analysis and Wilcoxon rank sum test, stratified by age 65 years, were used to evaluate the effect of GLIM-defined malnutrition on clinical outcomes. Logistic regression analysis was used to analyze the nutritional status and complications, and the interrater reliability was measured using a kappa test. Results: The prevalence of malnutrition defined by the GLIM criteria was 38.9% (929/2,388). GLIM-defined malnutrition was significantly associated with in-hospital mortality (P = 0.001) and length of hospital stays (P = 0.001). Multivariate logistic regression analysis showed GLIM-defined malnutrition significantly increased complications (odds ratio [OR] 1.716, 95% CI 1.227–2.400, P = 0.002). The GLIM criteria had a “moderate agreement” (kappa = 0.426) compared with the SGA. Conclusions: The prevalence of malnutrition in hospitalized patients with cancer is high, and malnourishment in patients with cancer is associated with poorer clinical outcomes. The use of the GLIM criteria in assessing the nutritional status of inpatients with cancer is recommended and can be used as the basis for nutritional interventions.
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Affiliation(s)
- Chengyu Liu
- Department of General Surgery, National Center of Gerontology, Beijing Hospital, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,The Key Laboratory of Geriatrics, National Center of Gerontology, National Health Commission, Beijing Hospital, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhenhua Lu
- Department of General Surgery, National Center of Gerontology, Beijing Hospital, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,The Key Laboratory of Geriatrics, National Center of Gerontology, National Health Commission, Beijing Hospital, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Zijian Li
- Department of General Surgery, National Center of Gerontology, Beijing Hospital, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jingyong Xu
- Department of General Surgery, National Center of Gerontology, Beijing Hospital, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Hongyuan Cui
- Department of General Surgery, National Center of Gerontology, Beijing Hospital, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Department of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qinghai University, Xining, China
| | - Mingwei Zhu
- Department of General Surgery, National Center of Gerontology, Beijing Hospital, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Department of Nutrition, National Center of Gerontology, Beijing Hospital, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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Li X, Lang X, Peng S, Ding L, Li S, Li Y, Yin L, Liu X. Calf Circumference and All-Cause Mortality: A Systematic Review and Meta-Analysis Based on Trend Estimation Approaches. J Nutr Health Aging 2022; 26:826-838. [PMID: 36156674 DOI: 10.1007/s12603-022-1838-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To perform a systematic review and meta-analysis and quantify the associations of total mortality with calf circumference (CC) in adults 18 years and older via combining various analyses based on empirical dichotomic CC, continuous CC, and dose-response CC. METHODS We conducted a systematic search of relevant studies in PubMed, EMBASE, Cochrane Library, and Web of Science published through April 12, 2022. This systematic review includes longitudinal observational studies reporting the relationships of total mortality with CC. We calculated the pooled relative risk (RR) and 95% confidence interval (CI) of total mortality with CC per 1 cm for each study and combined the values using standard meta-analysis approaches. Newcastle-Ottawa scale (NOS), Grading of Recommendations, Assessment, Development and Evaluations approach (GRADE), and the Instrument for assessing the Credibility of Effect Modification Analyses (ICEMAN) were assessed for meta-analyses. RESULTS Our analysis included a total of 37 cohort studies involving 62,736 participants, across which moderate heterogeneity was observed (I2=75.7%, P<0.001), but no publication bias was found. Study quality scores ranged from 6 to 9 (mean 7.7), with only three studies awarded a score of 6 (fair quality). We observed an inverse trend between total death risk and CC per 1 cm increase (RR, 0.95, 95% CI, 0.94-0.96; P<0.001; GRADE quality=high). Only a very slight difference was found among residents of nursing homes (6.9% mortality risk reduction per one cm CC increase), community-dwellers (5.4%), and those living in hospitals (4.8%), respectively (P for meta-regression=0.617). Low credible subgroup difference was found based on the ICEMAN tool. CONCLUSIONS Calf circumference is a valid anthropometric measure for mortality risk prediction in a community, nursing home, or hospital.
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Affiliation(s)
- X Li
- Lu Yin, Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Beijing 102300, China. E-mail: ; Xiaomei Liu, Department of Emergency, Zhongshan Hospital of Xiamen University, Xiamen, China. Tel:
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Tan S, Wang J, Zhou F, Tang M, Xu J, Zhang Y, Yan M, Li S, Zhang Z, Wu G. Validation of GLIM malnutrition criteria in cancer patients undergoing major abdominal surgery: A large-scale prospective study. Clin Nutr 2022; 41:599-609. [DOI: 10.1016/j.clnu.2022.01.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 12/19/2021] [Accepted: 01/09/2022] [Indexed: 12/24/2022]
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Yin L, Song C, Cui J, Wang N, Fan Y, Lin X, Zhang L, Zhang M, Wang C, Liang T, Ji W, Liu X, Li W, Shi H, Xu H. Low fat mass index outperforms handgrip weakness and GLIM-defined malnutrition in predicting cancer survival: Derivation of cutoff values and joint analysis in an observational cohort. Clin Nutr 2021; 41:153-164. [PMID: 34883304 DOI: 10.1016/j.clnu.2021.11.026] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/17/2021] [Accepted: 11/22/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND & AIMS The optimal thresholds to define a survival-related low fat mass index (FMI) in Asian oncology populations remains largely unknown. This study sought to derive the sex-specific FMI cutoffs and analyze the independent and joint associations of a low FMI, handgrip weakness, and the Global Leadership Initiative on Malnutrition (GLIM)-defined malnutrition with cancer survival. METHODS We performed a multicenter cohort study including 2376 patients with cancer. The FMI was measured by bioelectrical impedance analysis and the best thresholds were determined using an optimal stratification (OS) method. Low handgrip strength (HGS) and malnutrition were defined based on the Asian Working Group for Sarcopenia 2019 framework and the GLIM, respectively. The associations of a low FMI, handgrip weakness and malnutrition with survival were estimated independently and jointly by calculating multivariable-adjusted hazard ratios (HRs). RESULTS The study enrolled 1303 women and 1073 men with a mean age of 57.7 years and a median follow-up of 1267 days. The OS-defined FMI cutoffs were <5 kg/m2 in women and <7.7 kg/m2 in men. A low FMI, low HGS and malnutrition were identified in 1188 (50%), 1106 (46.5%) and 910 (38.3%) patients, respectively. A low FMI was adversely associated with the nutritional status, physical performance, quality of life and hospitalization costs. A low FMI (HR = 1.50, 95%CI = 1.16 to 1.92) and malnutrition (HR = 1.31, 95%CI = 1.08 to 1.59) were independently associated with mortality. Overall, the FMI plus GLIM-defined malnutrition showed the maximal joint prognostic impact, and patients with a combined low FMI and malnutrition had the worst survival (HR = 1.93, 95%CI = 1.48 to 2.52). CONCLUSIONS Low FMI-indicated fat depletion outperforms and strengthens the prognostic value of handgrip weakness and GLIM-defined malnutrition for cancer survival. These findings indicate the importance of including fat mass assessment during routine cancer care to help guide strategies to optimize survival outcomes.
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Affiliation(s)
- Liangyu Yin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China; Institute of Hepatopancreatobiliary Surgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Chunhua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Jiuwei Cui
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - Nanya Wang
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - Yang Fan
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Xin Lin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Ling Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Mengyuan Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Chang Wang
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - Tingting Liang
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - Wei Ji
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - Xiangliang Liu
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China.
| | - Hanping Shi
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
| | - Hongxia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
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Muñoz Fernandez SS, Garcez FB, Alencar JCGD, Cederholm T, Aprahamian I, Morley JE, de Souza HP, Avelino da Silva TJ, Ribeiro SML. Applicability of the GLIM criteria for the diagnosis of malnutrition in older adults in the emergency ward: A pilot validation study. Clin Nutr 2021; 40:5447-5456. [PMID: 34653825 DOI: 10.1016/j.clnu.2021.09.024] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/02/2021] [Accepted: 09/13/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND & AIMS Acutely ill older adults are at higher risk of malnutrition. This study aimed to explore the applicability and accuracy of the GLIM criteria to diagnose malnutrition in acutely ill older adults in the emergency ward (EW). METHODS We performed a retrospective secondary analysis, of an ongoing cohort study, in 165 participants over 65 years of age admitted to the EW of a Brazilian university hospital. Nutrition assessment included anthropometry, the Simplified Nutritional Assessment Questionnaire (SNAQ), the Malnutrition Screening Tool (MST), and the Mini-Nutritional Assessment (MNA). We diagnosed malnutrition using GLIM criteria, defined by the parallel presence of at least one phenotypic [nonvolitional weight loss (WL), low BMI, low muscle mass (MM)] and one etiologic criterion [reduced food intake or assimilation (RFI), disease burden/inflammation]. We used the receiver operating characteristic (ROC) curves and Cox and logistic regression for data analyses. RESULTS GLIM criteria, following the MNA-SF screening, classified 50.3% of participants as malnourished, 29.1% of them in a severe stage. Validation of the diagnosis using MNA-FF as a reference showed good accuracy (AUC = 0.84), and moderate sensitivity (76%) and specificity (75.1%). All phenotypic criteria combined with RFI showed the best metrics. Malnutrition showed a trend for an increased risk of transference to intensive care unit (OR = 2.08, 95% CI 0.99, 4.35), and severe malnutrition for in-hospital mortality (HR = 4.23, 95% CI 1.2, 14.9). CONCLUSION GLIM criteria, following MNA-SF screening, appear to be a feasible approach to diagnose malnutrition in acutely ill older adults in the EW. Nonvolitional WL combined with RFI or acute inflammation were the best components identified and are easily accessible, allowing their potential use in clinical practice.
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Affiliation(s)
| | - Flavia Barreto Garcez
- Geriatrics Division, Faculty of Medicine, University of Sao Paulo, São Paulo, Brazil
| | - Julio César García de Alencar
- Disciplina de Emergencias Clínicas, Departamento de Clínica Médica, Faculty of Medicine, University of Sao Paulo, São Paulo, Brazil
| | - Tommy Cederholm
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden; Karolinska University Hospital, Stockholm, Sweden
| | - Ivan Aprahamian
- Geriatrics Division, Faculty of Medicine, University of Sao Paulo, São Paulo, Brazil
| | - John Edward Morley
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, MO, USA
| | - Heraldo Possolo de Souza
- Disciplina de Emergencias Clínicas, Departamento de Clínica Médica, Faculty of Medicine, University of Sao Paulo, São Paulo, Brazil
| | | | - Sandra Maria Lima Ribeiro
- Nutrition Department, School of Public Health, University of Sao Paulo, São Paulo, Brazil; School of Arts, Science, and Humanity, University of Sao Paulo, São Paulo, Brazil
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Huang S, Niu Y, Liu X, Gu Z, Huang A, Wu J. Characteristics of malnutrition according to Global Leadership Initiative on Malnutrition criteria in non-surgical patients with irritable bowel disease. Nutrition 2021; 94:111514. [PMID: 34844157 DOI: 10.1016/j.nut.2021.111514] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 10/01/2021] [Accepted: 10/05/2021] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Malnutrition is common in patients with inflammatory bowel disease (IBD). The Global Leadership Initiative on Malnutrition (GLIM) was proposed to assess the severity and characteristics of malnutrition. Thus, we aimed to use the latest consensus on the diagnosis of malnutrition, GLIM criteria, to evaluate malnutrition in patients with IBD. METHODS We performed a retrospective cohort study of 73 adult patients with IBD (48 with Crohn disease and 25 with ulcerative colitis). Demographic data, clinical characteristics, and nutrition status defined by Nutritional Risk Screening (NRS) 2002 and GLIM criteria were recorded at enrollment. RESULTS According to the GLIM criteria, 43 (58.90%) patients were identified with malnutrition, and the incidence of mild to moderate malnutrition and severe malnutrition was 28.77% (21 of 73 patients) and 30.14% (22 of 73 patients), respectively. The severity of malnutrition in patients with IBD increased with the cumulative number of phenotypic criteria they met (P < 0.01). The difference in the number of etiologic indicators was only identified between patients with severe malnutrition and those without malnutrition (P < 0.05). Patients with Crohns disease had a significantly higher rate of muscle mass loss than patients with ulcerative colitis (P = 0.038) but a lower incidence of reduced food intake or assimilation (P = 0.039). CONCLUSION The prevalence of malnutrition according to the GLIM criteria was high in non-surgical patients with IBD, and as the degree of malnutrition worsened, more phenotypes and etiologic types appeared. The phenotypic and etiologic characteristics of GLIM were different in patients with Crohn disease than in those with ulcerative colitis.
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Affiliation(s)
- Shanshan Huang
- Department of Clinical Nutrition, Huadong Hospital, affiliated to Fudan University, Shanghai, China; Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai, China
| | - Yang Niu
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong
| | - Xiaowei Liu
- Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai, China
| | - Zhengye Gu
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong
| | - Aiyue Huang
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong
| | - Jiang Wu
- Department of Clinical Nutrition, Huadong Hospital, affiliated to Fudan University, Shanghai, China.
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Several anthropometric measurements and cancer mortality: predictor screening, threshold determination, and joint analysis in a multicenter cohort of 12138 adults. Eur J Clin Nutr 2021; 76:756-764. [PMID: 34584226 DOI: 10.1038/s41430-021-01009-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 08/12/2021] [Accepted: 09/07/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Anthropometric measurements (AMs) are cost-effective surrogates for evaluating body size. This study aimed to identify the optimal prognostic AMs, their thresholds, and their joint associations with cancer mortality. METHODS We performed an observational cohort study including 12138 patients with cancer at five institutions in China. Information on demographics, disease, nutritional status, and AMs, including the body mass index, mid-arm muscle circumference, mid-arm circumference, handgrip strength, calf circumference (CC), and triceps-skinfold thickness (TSF), was collected and screened as mortality predictors. The optimal stratification was used to determine the thresholds to categorize those prognostic AMs, and their associations with mortality were estimated independently and jointly by calculating multivariable-adjusted hazard ratios (HRs). RESULTS The study included 5744 females and 6394 males with a mean age of 56.9 years. The CC and TSF were identified as better mortality predictors than other AMs. The optimal thresholds were women 30 cm and men 32.8 cm for the CC, and women 21.8 mm and men 13.6 mm for the TSF. Patients in the low CC or low TSF group had a 13% (HR = 1.13, 95% CI = 1.03-1.23) and 22% (HR = 1.22, 95% CI = 1.12-1.32) greater mortality risk compared with their normal CC/TSF counterparties, respectively. Concurrent low CC and low TSF showed potential joint effect on mortality risk (HR = 1.39, 95% CI = 1.25-1.55). CONCLUSIONS These findings support the importance of assessing the CC and TSF simultaneously in hospitalized cancer patients to guide interventions to optimize their long-term outcomes.
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Trussardi Fayh AP, de Sousa IM. Comparison of revised EWGSOP2 criteria of sarcopenia in patients with cancer using different parameters of muscle mass. PLoS One 2021; 16:e0257446. [PMID: 34520502 PMCID: PMC8439478 DOI: 10.1371/journal.pone.0257446] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 09/01/2021] [Indexed: 01/06/2023] Open
Abstract
Calf circumference (CC) has been established as a marker of muscle mass (MM) with good performance for predicting survival in individuals with cancer. The study aims to determine the prevalence of sarcopenia according to the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria and to evaluate the accuracy of sarcopenia using low CC relative to MM assessment by computed tomography (CT) at third lumbar vertebra level (L3) as a reference. Cross-sectional study with cancer patients aged ≥ 60 years. Data included socio-demographic, clinical and anthropometric variables. MM was assessed by CC and by CT images at the L3. Sarcopenia was diagnosed according to the EWGSOP2 criteria: a) low handgrip strength (HGS) + reduced MM evaluated by CT; and b) low HGS + low CC. Pearson's correlation, accuracy, sensitivity, specificity, positive predictive and negative predictive value were analyzed. A total of 108 patients were evaluated, age of 70.6 ± 7.4 years (mean ± standard deviation). The prevalence of sarcopenia was of 24.1% (low MM) and 25.9% (low CC). The Kappa test showed a substantial agreement (K = 0.704), 81% sensitivity, and 92% specificity. Although the EWGSOP2 advises that we should use CC measures in the algorithm for sarcopenia when no other MM diagnostic methods are available, the findings allow the use of CC instead of MM by CT in cancer patients.
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Affiliation(s)
- Ana Paula Trussardi Fayh
- Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil
- Postgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil
- Postgraduate Program in Physical Education, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil
- * E-mail:
| | - Iasmin Matias de Sousa
- Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil
- Postgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil
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Poulter S, Steer B, Baguley B, Edbrooke L, Kiss N. Comparison of the GLIM, ESPEN and ICD-10 Criteria to Diagnose Malnutrition and Predict 30-Day Outcomes: An Observational Study in an Oncology Population. Nutrients 2021; 13:nu13082602. [PMID: 34444762 PMCID: PMC8402162 DOI: 10.3390/nu13082602] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/26/2021] [Accepted: 07/27/2021] [Indexed: 11/16/2022] Open
Abstract
The Global Leadership Initiative on Malnutrition (GLIM) criteria are consensus criteria for the diagnosis of malnutrition. This study aimed to investigate and compare the prevalence of malnutrition using the GLIM, European Society for Clinical Nutrition and Metabolism (ESPEN) and International Statistical Classification of Diseases version 10 (ICD-10) criteria; compare the level of agreement between these criteria; and identify the predictive validity of each set of criteria with respect to 30-day outcomes in a large cancer cohort. GLIM, ESPEN and ICD-10 were applied to determine the prevalence of malnutrition in 2794 participants from two cancer malnutrition point prevalence studies. Agreement between the criteria was analysed using the Cohen’s Kappa statistic. Binary logistic regression models were used to determine the ability of each set of criteria to predict 30-day mortality and unplanned admission or readmission. GLIM, ESPEN and ICD-10 criteria identified 23.0%, 5.5% and 12.6% of the cohort as malnourished, respectively. Slight-to-fair agreement was reported between the criteria. All three criteria were predictive of mortality, but only the GLIM and ICD-10 criteria were predictive of unplanned admission or readmission at 30 days. The GLIM criteria identified the highest prevalence of malnutrition and had the greatest predictive ability for mortality and unplanned admission or readmission in an oncology population.
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Affiliation(s)
- Shay Poulter
- School of Exercise and Nutrition Sciences, Deakin University, Melbourne 3125, Australia;
| | - Belinda Steer
- Nutrition and Speech Pathology Department, Peter MacCallum Cancer Centre, Melbourne 3000, Australia;
| | - Brenton Baguley
- Institute for Physical Activity and Nutrition, Deakin University, Geelong 3220, Australia;
| | - Lara Edbrooke
- Allied Health Department, Peter MacCallum Cancer Centre, Melbourne 3000, Australia;
- Physiotherapy Department, The University of Melbourne, Parkville 3052, Australia
| | - Nicole Kiss
- Institute for Physical Activity and Nutrition, Deakin University, Geelong 3220, Australia;
- Allied Health Department, Peter MacCallum Cancer Centre, Melbourne 3000, Australia;
- Correspondence:
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Rosnes KS, Henriksen C, Høidalen A, Paur I. Agreement between the GLIM criteria and PG-SGA in a mixed patient population at a nutrition outpatient clinic. Clin Nutr 2021; 40:5030-5037. [PMID: 34365037 DOI: 10.1016/j.clnu.2021.07.019] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 06/16/2021] [Accepted: 07/13/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND & AIMS The Global Leadership Initiative on Malnutrition (GLIM) criteria is a step-wise process including a screening tool of choice for risk assessment of malnutrition before assessment of diagnosis and grading of malnutrition severity. The agreement between GLIM and the established malnutrition assessment method Patient Generated-Subjective Global Assessment (PG-SGA) is uncertain. Also, several aspects of GLIM remain to be clearly defined. In this study, we compared diagnosis of malnutrition with the GLIM criteria to the PG-SGA, and explored the differences between the methods. METHODS This cross-sectional study was conducted at the Nutrition Outpatient Clinic at Oslo University Hospital, Norway. Patients were included from September-December 2019. Nutritional Risk Screening 2002 (NRS-2002) was used as the screening tool in the GLIM process before diagnosing and grading the severity of malnutrition. Results are presented with and without the initial risk screening. The diagnostic results from the GLIM process were compared to the malnutrition diagnosis using the PG-SGA. RESULTS In total, 144 patients, median age 58 years, participated in the study. The full GLIM process identified 36% of the patients as malnourished, while the PG-SGA identified 69% of the patients as malnourished. Comparison of GLIM and PG-SGA showed fair agreement, however the agreement was better when the NRS-2002 screening was excluded. Considering the PG-SGA a gold standard, GLIM had a sensitivity of 51% and a specificity of 98%. The introduction of new cut-off values for fat-free mass did not considerably alter the diagnosis of malnutrition within GLIM. CONCLUSIONS The GLIM criteria showed only fair agreement with the PG-SGA, however the agreement was better when the initial NRS-2002 screening was excluded. A joint consensus on how to perform the GLIM process is needed for comparisons of future studies, and before routine use in clinical practice.
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Affiliation(s)
- Kristin S Rosnes
- Norwegian Advisory Unit on Disease-Related Undernutrition, Oslo, Norway; Department of Nutrition, Faculty of Medicine, University of Oslo, Norway
| | | | - Anne Høidalen
- Division of Cancer Medicine, Department of Clinical Services, Section of Clinical Nutrition, Oslo University Hospital, Norway.
| | - Ingvild Paur
- Norwegian Advisory Unit on Disease-Related Undernutrition, Oslo, Norway; Division of Cancer Medicine, Department of Clinical Services, Section of Clinical Nutrition, Oslo University Hospital, Norway.
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Ozturk Y, Deniz O, Coteli S, Unsal P, Dikmeer A, Burkuk S, Koca M, Cavusoglu C, Dogu BB, Cankurtaran M, Halil M. Global Leadership Initiative on Malnutrition criteria with different muscle assessments including muscle ultrasound with hospitalized internal medicine patients. JPEN J Parenter Enteral Nutr 2021; 46:936-945. [PMID: 34287973 DOI: 10.1002/jpen.2230] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND The aim of this study is to identify cutoff values for muscle ultrasound (US) to be used in Global Leadership Initiative on Malnutrition (GLIM) criteria, and to define the effect of reduced muscle mass assessment on malnutrition prevalence at hospital admission. METHODS A total of 118 inpatients were enrolled in this cross-sectional study. Six different muscles were evaluated by US. Following defining thresholds for muscle US to predict low muscle mass measured by bioelectrical impedance analysis, malnutrition was diagnosed by GLIM criteria with seven approaches, including calf circumference, mid-upper arm circumference (MAC), handgrip strength (HGS), skeletal muscle index (SMI), rectus femoris (RF) muscle thickness, and cross-sectional area (CSA) in addition to without using the reduced muscle mass criterion. RESULTS The median age of patients was 64 (18-93) years, 55.9% were female. RF muscle thickness had moderate positive correlations with both HGS (r = 0.572) and SMI (r = 0.405). RF CSA had moderate correlation with HGS (r = 0.567) and low correlation with SMI (r = 0.389). The cutoff thresholds were 11.3 mm (area under the curve [AUC] = 0.835) and 17 mm (AUC = 0.737) for RF muscle thickness and 4 cm² (AUC = 0.937) and 7.2 cm² (AUC = 0.755) for RF CSA in females and males, respectively. Without using the reduced muscle mass criterion, malnutrition prevalence was 46.6%; otherwise, it ranged from 47.5% (using MAC) to 65.2% (using HGS). CONCLUSIONS Muscle US may be used in GLIM criteria. However, muscle US needs a standard measurement technique and specific cutoff values in future studies.
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Affiliation(s)
- Yelda Ozturk
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Olgun Deniz
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Suheyla Coteli
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Pelin Unsal
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Ayse Dikmeer
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Suna Burkuk
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Meltem Koca
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Cagatay Cavusoglu
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Burcu Balam Dogu
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Mustafa Cankurtaran
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Meltem Halil
- Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
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