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Fu H, Li P, Sun S, Li L. Validation of the Global Leadership Initiative on Malnutrition Criteria for Predicting Adverse Outcomes in Acute Pancreatitis. Ther Clin Risk Manag 2024; 20:543-556. [PMID: 39220772 PMCID: PMC11365515 DOI: 10.2147/tcrm.s471127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024] Open
Abstract
Background and Aim The Global Leadership Initiative on Malnutrition (GLIM) has proposed criteria for the diagnosis of malnutrition. No studies validated the GLIM criteria in acute pancreatitis (AP). The present study aimed to validate the predictive capacity of GLIM criteria for adverse outcomes in AP patients. Patients and Methods Clinical data of 269 patients with AP were analyzed retrospectively. The Nutritional Risk Screening 2002 (NRS2002) was chosen as the screening tool. Multivariate logistic regression analyses evaluated the adverse clinical outcomes in malnourished patients. Results Overall, 160 patients (59.5%) were at nutritional risk and 38 (14.1%) were malnourished. Reduced muscle mass/ low body mass index + inflammation combinations contributed most to malnutrition overall and in each subgroup. The malnourished group had lower hemoglobin, neutrophils, albumin, total cholesterol, and triglycerides than the well-nourished group. The malnourished group had higher hospitalization costs (CNY, 11319.34 vs 9258.22, p <0.001) and more local complications (34.2% vs 14.7%, p =0.009) than the well-nourished group. There was an interaction between malnutrition and overweight/obesity on local complications (p for interaction = 0.023). Multivariate logistic regression showed malnutrition was significantly associated with local complications (OR 12.2, 95% CI: 2.51-59.37), infectious complications (OR 9.95, 95% CI: 1.25-79.44) and composite adverse outcome (OR 4.78, 95% CI: 1.05-21.73) in the overweight/obesity subgroup. There was no association between malnutrition and the rate of various adverse outcomes in the non-overweight/obesity subgroup. Additionally, we observed an association between malnutrition and composite adverse outcome (OR 6.75, 95% CI: 1.49-30.68) in patients <70 years only in females. Conclusion Malnourished AP patients were more likely to have adverse outcomes than well-nourished patients. Malnutrition was associated with various adverse outcomes only in the overweight/obesity subgroups.
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Affiliation(s)
- Hao Fu
- Nutrition Department, Affiliated Hospital of Chengde Medical University, Chengde, Heibei, People’s Republic of China
| | - Ping Li
- Gastroenterology, Affiliated Hospital of Chengde Medical University, Chengde, Heibei, People’s Republic of China
| | - Shuang Sun
- Nutrition Department, Affiliated Hospital of Chengde Medical University, Chengde, Heibei, People’s Republic of China
| | - Ling Li
- Nutrition Department, Affiliated Hospital of Chengde Medical University, Chengde, Heibei, People’s Republic of China
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Nishio K, Yoshida T, Arai Y, Ito T, Okada S, Ikeda T, Abe Y, Takayama M, Iinuma T. Relationship between malnutrition according to the global leadership initiative on malnutrition criteria and oral health among community-dwelling elderly aged 85 years and older: a cross-sectional study. BMC Oral Health 2024; 24:887. [PMID: 39097715 PMCID: PMC11297638 DOI: 10.1186/s12903-024-04568-0] [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: 09/28/2023] [Accepted: 07/03/2024] [Indexed: 08/05/2024] Open
Abstract
BACKGROUND A new diagnostic criterion for malnutrition, the Global Leadership Initiative on Malnutrition (GLIM) criteria, has been proposed. Despite a recognized link between malnutrition and oral health, further clarification is needed regarding this association when using the GLIM criteria. This study examined the association between malnutrition and oral health in community-dwelling older adults aged ≥ 85. METHODS This study was conducted using data from the Tokyo Oldest Old Survey on Total Health study, and altogether 519 participants ≥ 85 years were enrolled. Malnutrition was assessed using the GLIM criteria. Oral health information, on the number of teeth, maximum occlusal force (MOF), saliva production, denture-related questions (dissatisfaction and frequency of use), dental visit history in the past year, whether participants enjoyed meals, and oral-related quality of life was assessed using the Geriatric Oral Health Assessment Index (GOHAI) were collected. MOF was assessed the average values of three measurements and lower tertile by sex as decline in MOF. For GOHAI, the score for each items (Q1-Q12) was also evaluated, and further, the decline in each item (score: 1-2 points on a 5-point scale) was assessed as a "problem with each items." Oral health factors differing between those with and without malnutrition were analyzed. For differing items, malnutrition risk was evaluated using Cox regression. RESULTS Eighty-nine (17.1%) participants experienced malnutrition. Significant differences were observed in the decline in MOF, enjoyment of meals, individual scores for Q2, Q4, and Q6, and the problem with Q3, Q6, Q7, and Q11. Cox regression analysis showed that decline in MOF (odds ratio [OR]: 1.728, 95% confidence interval [CI]: 1.010-2.959), enjoyment of meals (OR: 0.502, 95% CI: 0.289-0.873), problem with Q3 (OR: 5.474, 95% CI: 1.301-23.028), Q6 (OR: 5.325, 95% CI: 1.026-27.636), and Q7 (OR: 2.867, 95% CI: 1.397-5.882) were associated with ORs of malnutrition. CONCLUSION Decline in MOF, enjoyment of meals, swallowing problem (problem with Q3), limit contact due to oral condition (problem with Q6), and esthetics problem (problem with Q7) were associated with malnutrition as assessed using the GLIM criteria.
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Affiliation(s)
- Kensuke Nishio
- Department of Complete Denture Prosthodontics, Nihon University School of Dentistry, Tokyo, Japan.
| | - Takamasa Yoshida
- Department of Complete Denture Prosthodontics, Nihon University School of Dentistry, Tokyo, Japan
| | - Yasumichi Arai
- Center for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Tomoka Ito
- Department of Complete Denture Prosthodontics, Nihon University School of Dentistry, Tokyo, Japan
| | - Shinji Okada
- Department of Complete Denture Prosthodontics, Nihon University School of Dentistry, Tokyo, Japan
| | - Takayuki Ikeda
- Department of Complete Denture Prosthodontics, Nihon University School of Dentistry, Tokyo, Japan
| | - Yukiko Abe
- Center for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Michiyo Takayama
- Center for Preventive Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Toshimitsu Iinuma
- Department of Complete Denture Prosthodontics, Nihon University School of Dentistry, Tokyo, Japan
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Nishioka S, Takayama M, Okamoto T, Miyai I. Implementation of nutritional screening tools, nutritional assessment tools, and diagnostic criteria for malnutrition in convalescent rehabilitation wards: A nationwide survey. Clin Nutr ESPEN 2024; 62:102-107. [PMID: 38901930 DOI: 10.1016/j.clnesp.2024.04.026] [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: 01/16/2024] [Revised: 04/24/2024] [Accepted: 04/29/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND & AIMS The utilization of recommended nutritional assessment measures in rehabilitation settings remains unclear. This study explored methods for identifying nutritional disorders using data from a nationwide survey conducted in convalescent rehabilitation wards. METHODS This cross-sectional study analyzed the annual survey, including methods for identifying malnutrition, the risk of malnutrition, and overnutrition in Kaifukuki (convalescent) rehabilitation wards. Methods identifying malnutrition and risk of malnutrition were grouped into nutritional screening tools (NSTs), nutritional assessment tools (NATs), diagnostic criteria for malnutrition (DCM), and suboptimal methods (e.g., hypoalbuminemia). NSTs, NATs, and DCM were further categorized as "acceptable tools." The association between applying acceptable tools, hospital-based data (e.g., the number of beds), and ward-based data (e.g., assessor for nutritional status) was analyzed by logistic regression analysis with multiple imputations. RESULTS In total, 885 hospitals with Kaifukuki rehabilitation wards responded to the survey, and 754 hospitals were included in the analysis. Registered dietitians assessed the nutritional status in 88% of the hospitals, whereas other professionals (e.g., nurses) evaluated the nutritional status in the remainder. NSTs (e.g., Mini Nutritional Assessment Short-Form), NATs (e.g., Subjective Global Assessment), DCM (e.g., Global Leadership Initiative on Malnutrition criteria), and suboptimal tools were used in 13.1%, 5.4%, 4.8%, and 74.6% of cases, respectively. Most hospitals used acceptable measures (e.g., body mass index) for overnutrition (91.2%). Multiple logistic regression analysis showed that assessments by registered dietitians (adjusted odds ratio[OR]: 2.20.95% confidence interval[CI]: 1.09-4.45) and hospital-owned food services, a proxy for limited clinical practice time of dietitians, were associated with a low likelihood of implementing acceptable measures (adjusted OR: 0.64, 95%CI: 0.43-0.97). CONCLUSIONS Acceptable malnutrition measures, including the NSTs, NATs, and DCM, have not been widely applied in convalescent rehabilitation settings. The implementation of recommended tools for identifying malnutrition may be promoted when registered dietitians assess the patients' nutritional status.
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Affiliation(s)
- Shinta Nishioka
- Nutrition Committee, Kaifukuki Rehabilitation Ward Association, Japan; Annual Survey Committee, Kaifukuki Rehabilitation Ward Association, Japan; Department of Clinical Nutrition and Food Services, Nagasaki Rehabilitation Hospital, Japan.
| | - Masako Takayama
- Nutrition Committee, Kaifukuki Rehabilitation Ward Association, Japan; Faculty of Human Life Science, Department of Nutritional Science, Shokei University, Japan
| | - Takatsugu Okamoto
- Annual Survey Committee, Kaifukuki Rehabilitation Ward Association, Japan; Department of Rehabilitation Medicine, Nishi-Hiroshima Rehabilitation Hospital, Japan
| | - Ichiro Miyai
- Annual Survey Committee, Kaifukuki Rehabilitation Ward Association, Japan; Neurorehabilitation Research Institute, Morinomiya Hospital, Japan
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El Alami El Hassani N, Akrichi MA, Bajit H, Alem C. Investigation of accordance between nutritional assessment tools, and bio-electrical impedance-derived phase angle, with the global leadership initiative on malnutrition criteria in hemodialysis patients. Clin Nutr ESPEN 2024; 62:260-269. [PMID: 38865238 DOI: 10.1016/j.clnesp.2024.05.027] [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: 01/10/2024] [Revised: 05/22/2024] [Accepted: 05/31/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND Malnutrition (MN) is a major health concern for patients with chronic kidney disease (CKD) who receive maintenance hemodialysis (MHD). These patients are particularly vulnerable to MN due to their compromised health status, which in turn increases the risk of morbidity and mortality. However, there is limited evidence on the use of reliable and effective tools for assessing MN in this population. This lack of sufficient data highlights the crucial need to assess MN within these patients, considering the significant mortality risk it poses. The first aim of this study was to compare the concurrent validity of three nutritional methods: the 7-point Subjective Global Assessment (7p-SGA), the Nutritional Risk Index (NRI), and the Nutritional Risk Screening from 2002 (NRS-2002) with the Global Leadership Initiative on Malnutrition (GLIM) criteria in MHD patients. The second aim was to investigate the advantage of the bio-electrical impedance-derived phase angle (PhA) in predicting MN. METHODS one hundred sixty-eight outpatients (31% women) with a mean age of 56.9 ± 14.7 years and a median dialysis vintage of 48 months were included in this retrospective study. Nutritional scores, anthropometric measurements, biological markers, and body composition parameters were collected. RESULTS According to GLIM standards, MN was identified in 80% of these patients. Using logistic regression (LR) analysis, all nutritional scores were significantly associated with GLIM criteria, with optimal sensitivity (94.4%) and specificity (85.7%) for 7p-SGA and NRI, respectively. For discriminating the nutritional risk, the GLIM criteria demonstrated a good agreement with 7p-SGA (Kappa concordance coefficient (κ) = 0.677, p-value<0.001) with a good level of accuracy (Area Under the Curve (AUC) = 0.841; 95% Confidence Interval (CI) = 0.705-0.977; p-value <0.001) when compared to the NRI and NRS-2002 (κ = 0.522, p-value<0.001 and κ = 0.411, p-value = 0.006, respectively). An excellent accuracy was found between PhA and the GLIM-defined MN, with an optimal cut-off value of 5.5° for males and 4.5° for females. The LR showed that arm circumference is the parameter that most influences the decrease of PhA (odds ratio 2.710, 95% CI = 1.597-4.597, p-value <0.001). CONCLUSION Based on the results of the present study, 7p-SGA is the most sensitive score in identifying MN diagnosed by GLIM criteria. Nonetheless, NRI exhibits greater specificity. PhA is a valuable marker for MN in MHD patients.
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Affiliation(s)
- Nadia El Alami El Hassani
- Team of Biochemistry of Natural Resources, Faculty of Sciences and Techniques, Moulay Ismaïl University, Errachidia, Morocco.
| | | | - Habiba Bajit
- Team of Biochemistry of Natural Resources, Faculty of Sciences and Techniques, Moulay Ismaïl University, Errachidia, Morocco; Department of Pharmacology, Faculty of Medicine, University of Granada, Spain
| | - Chakib Alem
- Team of Biochemistry of Natural Resources, Faculty of Sciences and Techniques, Moulay Ismaïl University, Errachidia, Morocco
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Wu T, Zhou M, Xu K, Zou Y, Zhang S, Cheng H, Guo P, Song C. GLIM Achieves Best Diagnostic Performance in Non-Cancer Patients with Low BMI: A Hierarchical Bayesian Latent-Class Meta-Analysis. Nutr Rev 2024:nuae096. [PMID: 39013202 DOI: 10.1093/nutrit/nuae096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2024] Open
Abstract
CONTEXT Global Leadership Initiative on Malnutrition (GLIM) and Patient-Generated Subjective Global Assessment (PG-SGA) are commonly used nutrition assessment tools, whose performance does not reach a consensus due to different and imperfect reference standards. OBJECTIVE This study aimed to evaluate and compare the diagnostic accuracy of GLIM and PG-SGA, using a hierarchical Bayesian latent class model, in the absence of a gold standard. DATA SOURCES A systematic search was undertaken in PubMed, Embase, and Web of Science from inception to October 2022. Diagnostic test studies comparing (1) the GLIM and/or (2) PG-SGA with "semi-gold" standard assessment tools for malnutrition were included. DATA EXTRACTION Two authors independently extracted data on sensitivity, specificity, and other key characteristics. The methodological quality of each included study was appraised according to the criteria in the Quality Assessment of Diagnostic Accuracy Studies-2. DATA ANALYSIS A total of 45 studies, comprising 20 876 individuals evaluated for GLIM and 11 575 for PG-SGA, were included. The pooled sensitivity was 0.833 (95% CI 0.744 to 0.896) for GLIM and 0.874 (0.797 to 0.925) for PG-SGA, while the pooled specificity was 0.837 (0.780 to 0.882) for GLIM and 0.778 (0.707 to 0.836) for PG-SGA. GLIM showed slightly better performance than PG-SGA, with a higher diagnostic odds ratio (25.791 vs 24.396). The diagnostic performance of GLIM was most effective in non-cancer patients with an average body mass index (BMI) of <24 kg/m2, followed by non-cancer patients with an average age of ≥60 years. PG-SGA was most powerful in cancer patients with an average age of <60 years, followed by cancer patients with an average BMI of <24 kg/m2. CONCLUSION Both GLIM and PG-SGA had moderately high diagnostic capabilities. GLIM was most effective in non-cancer patients with a low BMI, while PG-SGA was more applicable in cancer patients. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration No. CRD42022380409.
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Affiliation(s)
- Tiantian Wu
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Mingming Zhou
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Kedi Xu
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Yuanlin Zou
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Shaobo Zhang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Haoqing Cheng
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Pengxia Guo
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Chunhua Song
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan 450052, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan 450052, China
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Xie H, Wei L, Ruan G, Zhang H, Shi J, Lin S, Liu C, Liu X, Zheng X, Chen Y, Shi H. Performance of anthropometry-based and bio-electrical impedance-based muscle-mass indicators in the Global Leadership Initiative on Malnutrition criteria for predicting prognosis in patients with cancer. Clin Nutr 2024; 43:1791-1799. [PMID: 38865763 DOI: 10.1016/j.clnu.2024.05.039] [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: 04/13/2024] [Revised: 05/18/2024] [Accepted: 05/21/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND Reduced muscle mass is a criterion for diagnosing malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria; however, the choice of muscle-mass indicators within the GLIM criteria remains contentious. This study aimed to establish muscle-measurement-based GLIM criteria using data from bio-electrical impedance analysis (BIA) and anthropometric evaluations and evaluate their ability to predict overall survival (OS), short-term outcomes, and healthcare burden in patients with cancer. METHODS This was a multicenter, prospective study that commenced in 2013 and enrolled participants from various clinical centers across China. We constructed GLIM criteria based on various muscle measurements, including fat-free mass index (FFMI), skeletal muscle index (SMI), calf circumference (CC), midarm circumference (MAC), midarm muscle circumference (MAMC), and midarm muscle area (MAMA). Survival was estimated using the Kaplan-Meier method and survival curves were compared using the log-rank test. Cox proportional hazards regression was used to assess the independent association between the GLIM criteria and OS. The discriminatory performance of different muscle-measurement-based GLIM criteria for mortality was evaluated using Harrell's concordance index (C-index). Logistic regression was used to evaluate the association of the GLIM criteria with short-term outcomes and healthcare burden. RESULTS A total of 4769 patients were included in the analysis, of whom 1659 (34.8%) died during the study period. The Kaplan-Meier curves demonstrated that all muscle-measurement-based GLIM criteria significantly predicted survival in patients with cancer (all p < 0.001). The survival rate of malnourished patients was approximately 10% lower than that of non-malnourished patients. Cox proportional hazards regression showed that all the muscle-measurement-based GLIM could independently predict the OS of patients (all p < 0.001). The prognostic discrimination was as follows: MAMC (Chi-square: 79.61) > MAMA (Chi-square: 79.10) > MAC (Chi-square: 64.09) > FFMI (Chi-square: 62.33) > CC (Chi-square: 58.62) > ASMI (Chi-square: 57.29). In comparison to the FFMI-based GLIM criteria, the ASMI-based criteria (-0.002, 95% CI: -0.006 to 0.002, p = 0.334) and CC-based criteria (-0.003, 95% CI: -0.007 to 0.002, p = 0.227) did not exhibit a significant advantage. However, the MAC-based criteria (0.001, 95% CI: -0.003 to 0.004, p = 0.776), MAMA-based criteria (0.004, 95% CI: 0.000-0.007, p = 0.035), and MAMC-based criteria (0.005, 95% CI: 0.000-0.007, p = 0.030) outperformed the FFMI-based GLIM criteria. Logistic regression showed that muscle measurement-based GLIM criteria predicted short-term outcomes and length of hospital stay in patients with cancer. CONCLUSION All muscle measurement-based GLIM criteria can effectively predict OS, short-term outcomes, and healthcare burden in patients with cancer. Anthropometric measurement-based GLIM criteria have potential for clinical application as an alternative to BIA-based measurement.
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Affiliation(s)
- Hailun Xie
- Department of Gastrointestinal Gland Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Lishuang Wei
- Department of Gastrointestinal Gland Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Guotian Ruan
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Heyang Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Jinyu Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Shiqi Lin
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Chenan Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Xiaoyue Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Yue Chen
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Hanping Shi
- Department of Gastrointestinal Gland Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China; Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China.
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Jensen GL, Cederholm T. Exploring the intersections of frailty, sarcopenia, and cachexia with malnutrition. Nutr Clin Pract 2024. [PMID: 38937080 DOI: 10.1002/ncp.11180] [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: 04/23/2024] [Revised: 05/31/2024] [Accepted: 06/07/2024] [Indexed: 06/29/2024] Open
Abstract
This review examines our current understanding of consensus definitions for frailty, sarcopenia, and cachexia and their perceived overlap with malnutrition. Patients with these syndromes will often meet the criteria for malnutrition. It is common for these overlap syndromes to be misapplied by practitioners, and confusion has been further exacerbated by the lack of a common malnutrition language. To address the latter concern, we recommend using either the standalone Global Leadership Initiative in Malnutrition (GLIM) framework or the GLIM consensus criteria integrated with other accepted approaches as dictated by preference and available resources. Established care standards should guide the recognition and treatment of malnutrition to promote optimal clinical outcomes and quality of life. The effectiveness of nutrition interventions may be reduced in settings of severe acute inflammation and in end-stage disease that is associated with cachexia. However, such interventions may still assist patients to tolerate treatments that target the underlying etiology for an overlap syndrome, and they may help to improve select clinical outcomes and quality of life. Recent, large, well-designed randomized controlled trials have demonstrated the compelling positive clinical effects of medical nutrition therapy. The application of concurrent malnutrition risk screening and assessment is therefore a high priority. The necessity to deliver specific interventions that target the underlying mechanisms of these overlap syndromes and also diagnose and address malnutrition is paramount. It must be highlighted that securing beneficial outcomes for frailty, sarcopenia, and cachexia will also require nonnutrition interventions, like comprehensive care plans, pharmacologic agents, and prescribed exercise.
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Affiliation(s)
- Gordon L Jensen
- Dean's Office and Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA
| | - Tommy Cederholm
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
- Theme Inflammation & Aging, Karolinska University Hospital, Stockholm, Sweden
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Arslan S, Dal N, Tari Selcuk K, Sahin K, Atan RM. Identifying malnutrition risk in hospitalized patients: an analysis of five tools in the light of GLIM criteria. Postgrad Med 2024; 136:504-513. [PMID: 38819304 DOI: 10.1080/00325481.2024.2363169] [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: 01/06/2024] [Accepted: 05/30/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND The prompt identification of malnutrition among hospitalized patients using the appropriate screening tool is paramount. The objective of our study is to compare the most recommended screening tools concerning the new GLIM criteria for malnutrition in hospitalized patients. METHODS In this cross-sectional study, we analyzed the data on 1,397 patients receiving inpatient treatment at Bandırma Training and Research Hospital between August 2022 and May 2023 to assess and compare malnutrition in them. Patients who received inpatient treatment in the internal and surgical clinics of Bandırma Training and Research Hospital. In addition to the GLIM criteria, we used nutritional screening and assessment tools such as NRS-2002, MST, GMS, MUST, and SNAQ. The GLIM criteria were considered the gold standard for the evaluation of sensitivity and specificity. Receiver operating characteristic (ROC) curves for the five screening tools were also used to assess the ability to distinguish malnutrition-risk patients accurately. RESULTS The comparison of the performances of different screening tools in detecting malnutrition demonstrated that while the GMS had the highest sensitivity (87.40%), the NRS-2002 had the highest specificity (91.70%). The area under the Curve (AUC) value indicated that the predictive values of the NRS-2002, MST, GMS, and SNAQ were excellent, and the predictive value of the MUST was good (p < 0.001). While the GLIM criteria in particular appear to be an effective tool for detecting malnutrition in hospitalized individuals, other screening tools are also useful in assessing their malnutrition risk. CONCLUSIONS We emphasized MST's alignment with GLIM criteria, underscoring the importance of a multidisciplinary approach for early malnutrition diagnosis. Patients at risk of malnutrition can be diagnosed more quickly and accurately with appropriate screening tools and the effectiveness of treatments can be increased.
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Affiliation(s)
- Sedat Arslan
- Department of Nutrition and Dietetics, Bandirma Onyedi Eylul University, Balikesir, Turkey
| | - Nursel Dal
- Department of Nutrition and Dietetics, Bandirma Onyedi Eylul University, Balikesir, Turkey
| | - Kevser Tari Selcuk
- Department of Nutrition and Dietetics, Bandirma Onyedi Eylul University, Balikesir, Turkey
| | - Kezban Sahin
- Department of Nutrition and Dietetics, Bandirma Onyedi Eylul University, Balikesir, Turkey
| | - Ramazan Mert Atan
- Department of Nutrition and Dietetics, Bandirma Onyedi Eylul University, Balikesir, Turkey
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9
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Yu Z, Song W, Ren X, Chen J, Yao Q, Liu H, Wang X, Zhou J, Wang B, Chen X. Calcium deficiency is associated with malnutrition risk in patients with inflammatory bowel disease. Postgrad Med 2024; 136:456-467. [PMID: 38782760 DOI: 10.1080/00325481.2024.2359895] [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: 12/28/2023] [Accepted: 05/15/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND AND AIM Patients with inflammatory bowel disease (IBD) often have the condition of malnutrition, which can be presented as sarcopenia, micronutrient deficiencies, etc. Trace elements (magnesium, calcium, iron, copper, zinc, plumbum and manganese) belonging to micronutrients, are greatly vital for the assessment of nutritional status in humans. Trace element deficiencies are also the main manifestation of malnutrition. Calcium (Ca) has been proved to play an important part in maintaining body homeostasis and regulating cellular function. However, there are still a lack of studies on the association between malnutrition and Ca deficiency in IBD. This research aimed to investigate the role of Ca for malnutrition in IBD patients. METHODS We prospectively collected blood samples from 149 patients and utilized inductively coupled plasma mass spectrometry to examine their venous serum trace element concentrations. Logistic regression analyses were used to investigate the association between Ca and malnutrition. Receiver operating characteristic (ROC) curves were generated to calculate the cutoffs for determination of Ca deficiency. RESULTS Except Ca, the concentrations of the other six trace elements presented no statistical significance between non-malnutrition and malnutrition group. In comparison with the non-malnutrition group, the serum concentration of Ca decreased in the malnutrition group (89.36 vs 87.03 mg/L, p = 0.023). With regard to ROC curve, Ca < 87.21 mg/L showed the best discriminative capability with an area of 0.624 (95% CI: 0.520, 0.727, p = 0.023). Multivariate analyses demonstrated that Ca < 87.21 mg/L (OR = 3.393, 95% CI: 1.524, 7.554, p = 0.003) and age (OR = 0.958, 95% CI: 0.926, 0.990, p = 0.011) were associated with malnutrition risk. Serum Ca levels were significantly lower in the malnutrition group than those in the non-malnutrition group among UC patients, those with severe disease state or the female group. CONCLUSIONS In patients with IBD, Ca deficiency is an independent factor for high malnutrition risk.
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Affiliation(s)
- Zihan Yu
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wenxuan Song
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiangfeng Ren
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jihua Chen
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Qinyan Yao
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Hang Liu
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaoxuan Wang
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jinjie Zhou
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Bangmao Wang
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xin Chen
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China
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10
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Cortés-Aguilar R, Malih N, Abbate M, Fresneda S, Yañez A, Bennasar-Veny M. Validity of nutrition screening tools for risk of malnutrition among hospitalized adult patients: A systematic review and meta-analysis. Clin Nutr 2024; 43:1094-1116. [PMID: 38582013 DOI: 10.1016/j.clnu.2024.03.008] [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: 12/23/2023] [Revised: 03/07/2024] [Accepted: 03/11/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUNDS & AIMS Malnutrition is prevalent among hospitalized patients in developed countries, contributing to negative health outcomes and increased healthcare costs. Timely identification and management of malnutrition are crucial. The lack of a universally accepted definition and standardized diagnostic criteria for malnutrition has led to the development of various screening tools, each with varying validity. This complicates early identification of malnutrition, hindering effective intervention strategies. This systematic review and meta-analysis aimed to identify the most valid and reliable nutritional screening tool for assessing the risk of malnutrition in hospitalized adults. METHODS A systematic literature search was conducted to identify validation studies published from inception to November 2023, in the Pubmed/MEDLINE, Embase, and CINAHL databases. This systematic review was registered in INPLASY (INPLASY202090028). The risk of bias and quality of included studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies version 2 (QUADAS-2). Meta-analyses were performed for screening tools accuracy using the symmetric hierarchical summary receiver operative characteristics models. RESULTS Of the 1646 articles retrieved, 60 met the inclusion criteria and were included in the systematic review, and 21 were included in the meta-analysis. A total of 51 malnutrition risk screening tools and 9 reference standards were identified. The meta-analyses assessed four common malnutrition risk screening tools against two reference standards (Subjective Global Assessment [SGA] and European Society for Clinical Nutrition and Metabolism [ESPEN] criteria). The Malnutrition Universal Screening Tool (MUST) vs SGA had a sensitivity (95% Confidence Interval) of 0.84 (0.73-0.91), and specificity of 0.85 (0.75-0.91). The MUST vs ESPEN had a sensitivity of 0.97 (0.53-0.99) and specificity of 0.80 (0.50-0.94). The Malnutrition Screening Tool (MST) vs SGA had a sensitivity of 0.81 (0.67-0.90) and specificity of 0.79 (0.72-0.74). The Mini Nutritional Assessment-Short Form (MNA-SF) vs ESPEN had a sensitivity of 0.99 (0.41-0.99) and specificity of 0.60 (0.45-0.73). The Nutrition Universal Screening Tool-2002 (NRS-2002) vs SGA had a sensitivity of 0.76 (0.58-0.87) and specificity of 0.86 (0.76-0.93). CONCLUSIONS The MUST demonstrated high accuracy in detecting malnutrition risk in hospitalized adults. However, the quality of the studies included varied greatly, possibly introducing bias in the results. Future research should compare tools within a specific patient population using a valid and universal gold standard to ensure improved patient care and outcomes.
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Affiliation(s)
| | - Narges Malih
- Primary Care Research Unit of Mallorca, Balearic Islands Health Service, 07002 Palma, Spain.
| | - Manuela Abbate
- Research Group on Global Health and Lifestyles, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma, Spain; Nursing and Physiotherapy Department, University of the Balearic Islands, 07122 Palma, Spain.
| | - Sergio Fresneda
- Research Group on Global Health and Lifestyles, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma, Spain; Nursing and Physiotherapy Department, University of the Balearic Islands, 07122 Palma, Spain.
| | - Aina Yañez
- Research Group on Global Health and Lifestyles, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma, Spain; Nursing and Physiotherapy Department, University of the Balearic Islands, 07122 Palma, Spain.
| | - Miquel Bennasar-Veny
- Research Group on Global Health and Lifestyles, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma, Spain; Nursing and Physiotherapy Department, University of the Balearic Islands, 07122 Palma, Spain; Centro de Investigación Biomédica en Red (CIBER) de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
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11
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Bouloubasi Z, Karayiannis D, Papadopoulou A, Dimitrokallis N, Tsanasa A, Karveli E, Vougas V. Managing fluid balance and nutritional status in a short bowel syndrome patient awaiting intestinal transplant: a case report. Eur J Clin Nutr 2024; 78:455-458. [PMID: 38267532 DOI: 10.1038/s41430-024-01405-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/05/2023] [Accepted: 01/15/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND Despite being a long-term therapy for patients with short bowel syndrome (SBS), subcutaneous injections of teduglutide promote the regeneration of the gastrointestinal tract. Such cases are particularly concerning for patients with residual small bowel. METHODS In this report, we present a case of an SBS patient with only 5 cm of remaining small bowel and a high-output duodenal stoma, who was treated with teduglutide. RESULTS The initiation of teduglutide injections in our patient resulted in a reduction of stoma output, improvement in the patient's nutritional status, regulation of fluid balance, and stabilization of their clinical condition. CONCLUSIONS This case suggests that subcutaneous injections of teduglutide, when combined with appropriate nutritional care, can effectively treat high-output stomas, even in cases where the small bowel is nearly absent.
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Affiliation(s)
- Zoi Bouloubasi
- Department of Clinical Nutrition, Evangelismos General Hospital, Athens, Greece
| | | | - Anna Papadopoulou
- Department of Clinical Nutrition, Evangelismos General Hospital, Athens, Greece
| | - Nikolaos Dimitrokallis
- 1st Department of Surgery & Organ Transplant Unit, Evangelismos General Hospital, Athens, Greece
| | - Aggeliki Tsanasa
- 1st Department of Surgery & Organ Transplant Unit, Evangelismos General Hospital, Athens, Greece
| | - Eleni Karveli
- 1st Department of Surgery & Organ Transplant Unit, Evangelismos General Hospital, Athens, Greece
| | - Vasilios Vougas
- 1st Department of Surgery & Organ Transplant Unit, Evangelismos General Hospital, Athens, Greece
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12
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Cederholm T, Jensen GL, Ballesteros-Pomar MD, Blaauw R, Correia MITD, Cuerda C, Evans DC, Fukushima R, Ochoa Gautier JB, Gonzalez MC, van Gossum A, Gramlich L, Hartono J, Heymsfield SB, Jager-Wittenaar H, Jayatissa R, Keller H, Malone A, Manzanares W, McMahon MM, Mendez Y, Mogensen KM, Mori N, Muscaritoli M, Nogales GC, Nyulasi I, Phillips W, Pirlich M, Pisprasert V, Rothenberg E, de van der Schueren M, Shi HP, Steiber A, Winkler MF, Barazzoni R, Compher C. Guidance for assessment of the inflammation etiologic criterion for the GLIM diagnosis of malnutrition: A modified Delphi approach. Clin Nutr 2024; 43:1025-1032. [PMID: 38238189 DOI: 10.1016/j.clnu.2023.11.026] [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: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND & AIMS The Global Leadership Initiative on Malnutrition (GLIM) approach to malnutrition diagnosis is based on assessment of three phenotypic (weight loss, low body mass index, and reduced skeletal muscle mass) and two etiologic (reduced food intake/assimilation and disease burden/inflammation) criteria, with diagnosis confirmed by fulfillment of any combination of at least one phenotypic and at least one etiologic criterion. The original GLIM description provided limited guidance regarding assessment of inflammation and this has been a factor impeding further implementation of the GLIM criteria. We now seek to provide practical guidance for assessment of inflammation in support of the etiologic criterion for inflammation. METHODS A GLIM-constituted working group with 36 participants developed consensus-based guidance through a modified-Delphi review. A multi-round review and revision process served to develop seven guidance statements. RESULTS The final round of review was highly favorable with 99 % overall "agree" or "strongly agree" responses. The presence of acute or chronic disease, infection or injury that is usually associated with inflammatory activity may be used to fulfill the GLIM disease burden/inflammation criterion, without the need for laboratory confirmation. However, we recommend that recognition of underlying medical conditions commonly associated with inflammation be supported by C-reactive protein (CRP) measurements when the contribution of inflammatory components is uncertain. Interpretation of CRP requires that consideration be given to the method, reference values, and units (mg/dL or mg/L) for the clinical laboratory that is being used. CONCLUSION Confirmation of inflammation should be guided by clinical judgement based upon underlying diagnosis or condition, clinical signs, or CRP.
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Affiliation(s)
- Tommy Cederholm
- Clinical Nutrition & Metabolism, Uppsala University, Sweden; Theme Inflammation & Ageing, Karolinska University Hospital, Stockholm, Sweden.
| | - Gordon L Jensen
- Deans Office and Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA.
| | | | - Renee Blaauw
- Division of Human Nutrition, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
| | - M Isabel T D Correia
- Food Science Post Graduation Program, Surgery Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
| | - Cristina Cuerda
- Nutrition Unit, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
| | - David C Evans
- Trauma, Critical Care, General & Gastrointestinal Surgery, OhioHealth Grant Medical Center, Columbus, OH, USA.
| | - Ryoji Fukushima
- Department of Health and Dietetics, Faculty of Health and Medical Science, Teikyo Heisei University, Tokyo Japan.
| | | | | | - Andre van Gossum
- Department of Gastroenterology and Clinical Nutrition, Hospital Universitaire de Bruxelles, Brussels, Belgium.
| | - Leah Gramlich
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
| | - Joseph Hartono
- Indonesian Central Army Gatot Soebroto Hospital, Jakarta, Indonesia.
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
| | - Harriët Jager-Wittenaar
- Department of Gastroenterology and Hepatology, Dietetics, Radboud University Medical Center, Nijmegen, The Netherlands; Research Group Healthy Ageing, Allied Health Care and Nursing, Hanze University of Applied Sciences, Groningen, The Netherlands.
| | - Renuka Jayatissa
- Department of Nutrition and Food Science, International Institute of Health Sciences, Colobo, Sri Lanka.
| | - Heather Keller
- Schlegel-UW Research Institute for Aging and Department of Kinesiology and Health Sciences, University of Waterloo, Ontario, Canada.
| | - Ainsley Malone
- American Society for Parenteral and Enteral Nutrition, Columbus, OH, USA.
| | - William Manzanares
- Critical Care Medicine, Faculty of Medicine, Universidad de la República, Montevideo, Uruguay.
| | - M Molly McMahon
- Division of Endocrinology, Metabolism, Diabetes and Nutrition, Mayo Clinic, Rochester, MN, USA.
| | - Yolanda Mendez
- Internal Medicine, Clinical Nutrition, Colegio Mexicano de Nutrición Clínica y Terapia Nutricional, Mexico.
| | - Kris M Mogensen
- Department of Nutrition, Brigham and Women's Hospital, Boston, MA, USA.
| | - Naoharu Mori
- Department of Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Japan.
| | | | | | - Ibolya Nyulasi
- Department of Medicine, Central Clinical School, Monash University, Department of Dietetics, Nutrition and Sport, La Trobe University, Melbourne, Australia.
| | | | - Matthias Pirlich
- Praxis Kaisereiche - Imperial Oak Outpatient Clinic, Berlin Germany; Endocrinology, Gastroenterology, Clinical Nutrition, Berlin, Germany.
| | - Veeradej Pisprasert
- Division of Clinical Nutrition, Department of Medicine, Khon Kaen University, Thailand.
| | | | - Marian de van der Schueren
- HAN University of Applied Sciences, School of Allied Health, Wageningen University, Division of Human Nutrition and Health, the Netherlands.
| | - Han Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, China.
| | | | - Marion F Winkler
- Alpert Medical School of Brown University, Rhode Island Hospital, Surgical Nutrition Service, Providence, RI, USA.
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy.
| | - Charlene Compher
- Department of Biobehavioral Health Science, University of Pennsylvania School of Nursing, and Clinical Nutrition Support Service, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
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13
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Matsui R, Ida S, Ri M, Makuuchi R, Hayami M, Kumagai K, Ohashi M, Sano T, Nunobe S. Impact of preoperative prealbumin levels on long-term prognosis in patients with gastric cancer after gastrectomy: a retrospective cohort study. Gastric Cancer 2024; 27:611-621. [PMID: 38402291 DOI: 10.1007/s10120-024-01472-y] [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: 09/16/2023] [Accepted: 01/22/2024] [Indexed: 02/26/2024]
Abstract
BACKGROUND The relationship between preoperative prealbumin levels and long-term prognoses in patients with gastric cancer after gastrectomy has not been fully investigated. This study clarified the effect of preoperative prealbumin levels on the long-term prognosis of patients with gastric cancer after gastrectomy. METHODS This retrospective cohort study included consecutive patients who underwent radical gastrectomy for primary pStage I-III gastric cancer and whose preoperative prealbumin levels were measured between May 2006 and March 2017. Participants were categorized according to their preoperative prealbumin levels into high (≥22 mg/dL), moderate (15-22 mg/dL), and low (<15 mg/dL) groups. The overall survival (OS) in the three groups was compared using the log-rank test, and prognostic factors were identified using Cox proportional hazards regression analysis. RESULTS The median follow-up duration was 66 months. Of 4732 patients, 3649 (77.2%) were classified as high, 925 (19.6%) as moderate, and 158 (3.3%) as low. Lower prealbumin levels were associated with poorer prognoses (P < 0.001). Multivariate analysis showed that prealbumin levels of 15-22 mg/dL [hazard ratio (HR): 1.576, 95% confidence interval (CI): 1.353-1.835, P < 0.001] and <15 mg/dL (HR: 1.769, 95% CI: 1.376-2.276, P < 0.001) were independent poor prognostic factors for OS. When analyzed according to the cause of death, prealbumin levels were associated with other-cause survival, but not cancer-specific survival. CONCLUSIONS Preoperative prealbumin levels correlated with OS in patients with gastric cancer after gastrectomy; the lower the prealbumin level, the worse is the prognosis. Prealbumin levels may be associated with other-cause survival.
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Affiliation(s)
- Ryota Matsui
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan
| | - Satoshi Ida
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan
| | - Motonari Ri
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan
| | - Rie Makuuchi
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan
| | - Masaru Hayami
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan
| | - Koshi Kumagai
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan
| | - Manabu Ohashi
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan
| | - Takeshi Sano
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan
| | - Souya Nunobe
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan.
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14
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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 2024:1-10. [PMID: 38634368 DOI: 10.1017/s0007114524000874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [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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de Mateo Silleras B, Barrera Ortega S, Carreño Enciso L, de la Cruz Marcos S, Redondo del Río P. Prevalence of Malnutrition in a Group of Institutionalized Psychogeriatric Patients Using Different Diagnostic Criteria. Nutrients 2024; 16:1116. [PMID: 38674807 PMCID: PMC11053945 DOI: 10.3390/nu16081116] [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: 04/01/2024] [Accepted: 04/07/2024] [Indexed: 04/28/2024] Open
Abstract
Malnutrition (MN) is a highly prevalent condition in the elderly. It is associated with functional impairment, disability, frailty, and sarcopenia. The aim was to analyze the capacity of GLIM and ESPEN criteria to diagnose MN in a sample of institutionalized psychogeriatric patients. Clinical and anthropometric data were collected in a cross-sectional study. Patients' frailty, dependence, functional capacity, MNA, hand-grip strength (HS), and sarcopenia were evaluated. Body composition (BC) was estimated by conventional bioimpedance analysis. MN diagnosis was established using the ESPEN and the GLIM criteria based on fat-free mass index (GLIM-FFMI), appendicular skeletal muscle mass index (GLIM-ASMMI), skeletal muscle mass index (GLIM-SMMI), and HS (mGLIM). Ninety-two patients (57.6% men; mean age: 79.4 years) were studied. Depending on the diagnosis criteria, MN prevalence was between 25% (ESPEN) and 41.3% (GLIM-SMMI). Agreement between ESPEN and all GLIM criteria was poor, but it was excellent between all GLIM criteria (kappa > 0.8). Phenotypic criteria carried more weight in the diagnosis of MN than etiological ones. Depending on the parameter used, the prevalence of reduced muscle mass was notably different. Differences in BMI, BC, inflammation, and albumin are detected by the GLIM-FFMI criteria in the MN and non-MN subjects. Also, this criterion is the only one that identified differences in phase angle (PhA) between these groups. In the elderly, PhA can be very useful to monitor nutritional status.
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Affiliation(s)
- Beatriz de Mateo Silleras
- Department of Nutrition and Food Science, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain; (B.d.M.S.); (L.C.E.); (P.R.d.R.)
- Spanish Society of Community Nutrition (SENC), 08029 Barcelona, Spain
| | - Sara Barrera Ortega
- Psycho-Geriatric Area, Assistance Center of San Juan de Dios, 34005 Palencia, Spain;
| | - Laura Carreño Enciso
- Department of Nutrition and Food Science, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain; (B.d.M.S.); (L.C.E.); (P.R.d.R.)
| | - Sandra de la Cruz Marcos
- Department of Nutrition and Food Science, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain; (B.d.M.S.); (L.C.E.); (P.R.d.R.)
| | - Paz Redondo del Río
- Department of Nutrition and Food Science, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain; (B.d.M.S.); (L.C.E.); (P.R.d.R.)
- Spanish Society of Community Nutrition (SENC), 08029 Barcelona, Spain
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Rothenberg E, Tsagari A, Erickson N, Katsagoni CN, Malone A, de van der Schueren M, Shaw C, Steiber A, Vranesic Bender D, Jager-Wittenaar H. Global Leadership Initiative on Malnutrition (GLIM) for the diagnosis of malnutrition - a framework for consistent dietetic practice. Clin Nutr ESPEN 2024; 60:261-265. [PMID: 38479920 DOI: 10.1016/j.clnesp.2024.02.009] [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: 09/28/2023] [Revised: 01/24/2024] [Accepted: 02/12/2024] [Indexed: 04/13/2024]
Abstract
Malnutrition is an alarming and ongoing healthcare problem globally. Malnutrition has a negative impact on the individual patient, leading to poorer clinical outcomes and increased mortality, but also poses an economic burden on society. Proper identification and diagnostics are prerequisites for initiation of treatment. In 2019, the Global Leadership Initiative on Malnutrition, a consensus-based global framework to uniformly diagnose malnutrition across populations, healthcare settings, and countries was published. Identifying and treating malnutrition is an interdisciplinary team effort. Nonetheless, the nutrition and dietetics profession is specifically trained for diagnosing and treating nutrition(-related) conditions, and therefore has a key role in the interdisciplinary team in implementing the GLIM framework in clinical practice. For the nutrition and dietetics profession, GLIM offers a great opportunity for moving both the scientific and clinical knowledge of malnutrition management forward. While the GLIM framework has been extensively studied since its launch, various knowledge gaps still remain. For the nutrition and dietetics profession, these knowledge gaps mainly relate to the GLIM implementation process, to the role of GLIM in relation to the nutrition care process, and to treatment strategies for various nutrition-related conditions. In this opinion paper, we aimed to describe the rationale for implementing the GLIM framework in clinical dietetic practice, and propose a research agenda based on knowledge gaps regarding GLIM in relation to nutrition care from a dietetic point of view.
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Affiliation(s)
- Elisabet Rothenberg
- Department of Nursing and Integrated Health Sciences, Faculty of Health Sciences, Kristianstad University, Kristianstad, Sweden
| | - Amalia Tsagari
- Department of Clinical Nutrition, "KAT'' Hospital, Athens, Greece; Healthcare Faculty, BSc Dietetics, Aegean College, Athens, Greece
| | - Nicole Erickson
- Comprehensive Cancer Center (CCC Munich LMU), Ludwig Maximilian University Hospital Munich, Munich, Germany
| | | | - Ainsley Malone
- American Society for Parenteral and Enteral Nutrition, Silver Springs, MD, United States
| | - Marian de van der Schueren
- Department of Nutrition, Dietetics and Lifestyle, HAN University of Applied Sciences, Nijmegen, The Netherlands; Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Clare Shaw
- The Royal Marsden NHS Foundation Trust, London and Sutton, United Kingdom
| | - Alison Steiber
- Research, International, and Scientific Affairs Team, Academy of Nutrition and Dietetics, Chicago, IL, United States
| | - Darija Vranesic Bender
- Clinical Unit of Clinical Nutrition, Department of Internal Medicine, University Hospital Zagreb, Croatia
| | - Harriët Jager-Wittenaar
- Research Group Healthy Ageing, Allied Health Care and Nursing, Hanze University of Applied Sciences, Groningen, The Netherlands; Department of Gastroenterology and Hepatology, Dietetics, Radboud University Medical Center, Nijmegen, The Netherlands; Faculty of Physical Education and Physiotherapy, Department Physiotherapy and Human Anatomy, Research Unit Experimental Anatomy, Vrije Universiteit Brussel, Brussels, Belgium.
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17
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Dos Santos ALS, Santos BC, Frazão LN, Miranda AL, Fayh APT, Silva FM, Gonzalez MC, Correia MITD, Souza NC, Anastácio LR, Maurício SF. Validity of the GLIM criteria for the diagnosis of malnutrition in patients with colorectal cancer: A multicenter study on the diagnostic performance of different indicators of reduced muscle mass and disease severity. Nutrition 2024; 119:112324. [PMID: 38215671 DOI: 10.1016/j.nut.2023.112324] [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: 09/19/2023] [Revised: 11/27/2023] [Accepted: 12/03/2023] [Indexed: 01/14/2024]
Abstract
OBJECTIVES To assess the concurrent and predictive validity of different combinations of Global Leadership Initiative on Malnutrition (GLIM) criteria in patients with colorectal cancer considering different indicators of reduced muscle mass (MM) and the effects of the disease. METHODS A secondary analysis with patients with colorectal cancer. The reduced MM was assessed by arm muscle area, arm muscle circumference, calf circumference, fat-free mass index, skeletal muscle index (SMI) and skeletal muscle. Cancer diagnosis or disease staging (TNM) was considered for the etiologic criterion referred to as the effect of the disease. The other phenotypic and etiologic criteria were also evaluated, and we analyzed 13 GLIM combinations. Concurrent validity between GLIM criteria and Patient-Generated Subjective Global Assessment was evaluated. Logistic and Cox regression were used in the predictive validation. RESULTS For concurrent validity (n = 208), most GLIM combinations (n = 6; 54.5%) presented a moderate agreement with Patient-Generated Subjective Global Assessment and none showed satisfactory sensitivity and specificity (>80%). Reduced MM evaluated by SMI and SMI were present in the GLIM combinations associated with postoperative complications (odds ratio, ≥2.0), independent of other phenotypic and etiologic criteria. The combinations with reduced MM considering any method and fixed phenotypic criteria and TNM were associated with mortality (hazard ratio, ≥2.0). CONCLUSIONS Satisfactory concurrent validity was not verified. The GLIM diagnosis of malnutrition was associated with postoperative complications and mortality.
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Affiliation(s)
| | - Bárbara Chaves Santos
- Universidade Federal de Minas Gerais, Postgraduate Program in Food Science, Belo Horizonte, Brazil
| | | | - Ana Lúcia Miranda
- Universidade Federal do Rio Grande do Norte, Postgraduate Program in Health Sciences, Health Sciences Center, Natal, Brazil
| | - Ana Paula Trussardi Fayh
- Universidade Federal do Rio Grande do Norte, Postgraduate Program in Health Sciences, Health Sciences Center, Natal, Brazil
| | - Flávia Moraes Silva
- Universidade Federal de Ciências da Saúde de Porto Alegre, Department of Nutrition, Porto Alegre, Brazil
| | - Maria Cristina Gonzalez
- Postgraduate Program in Food and Nutrition, Federal University of Pelotas, Rio Grande do Sul, Pelotas, Brazil
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18
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Zheng X, Ruan X, Wang X, Zhang X, Zang Z, Wang Y, Gao R, Wei T, Zhu L, Zhang Y, Li Q, Liu F, Shi H. Bayesian diagnostic test evaluation and true prevalence estimation of malnutrition in gastric cancer patients. Clin Nutr ESPEN 2024; 59:436-443. [PMID: 38220406 DOI: 10.1016/j.clnesp.2023.12.019] [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: 09/06/2023] [Revised: 12/11/2023] [Accepted: 12/13/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND & AIMS Malnutrition is prevalent among gastric cancer (GC) patients, necessitating early assessment of nutritional status to guide monitoring and interventions for improved outcomes. We aim to evaluate the accuracy and prognostic capability of three nutritional tools in GC patients, providing insights for clinical implementation. METHODS The present study is an analysis of data from 1308 adult GC patients recruited in a multicenter from July 2013 to July 2018. Nutritional status was assessed using Nutritional Risk Screening 2002 (NRS-2002), Patient-Generated Subjective Global Assessment (PG-SGA) and Global Leadership Initiative on Malnutrition (GLIM) criteria. Bayesian latent class model (LCM) estimated the malnutrition prevalence of GC patients, sensitivity and specificity of nutritional tools. Cox regression model analyzed the relationship between nutritional status and overall survival (OS) in GC patients. RESULTS Among 1308 GC patients, NRS-2002, PG-SGA, and GLIM identified 50.46%, 76.76%, and 68.81% as positive, respectively. Bayesian LCM analysis revealed that PG-SGA had the highest sensitivity (0.96) for malnutrition assessment, followed by GLIM criteria (0.78) and NRS-2002 (0.65). Malnutrition or being at risk of malnutrition were identified as independent prognostic factors for OS. Use any of these tools improved survival prediction in TNM staging system. CONCLUSION PG-SGA is the most reliable tool for diagnosing malnutrition in GC patients, whereas NRS-2002 is suitable for nutritional screening in busy clinical practice. Given the lower sensitivity of NRS-2002, direct utilization of GLIM for nutritional assessment may be necessary. Each nutritional tool should be associated with a specific course of action, although further research is needed.
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Affiliation(s)
- Xite Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Xiaoli Ruan
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Xiaonan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Xiaorui Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Zhaoping Zang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Yijie Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Ran Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Tong Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Lingyan Zhu
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Yijun Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Quanmei Li
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Fen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China.
| | - Hanping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China.
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19
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Jensen GL, Cederholm T, Ballesteros-Pomar MD, Blaauw R, Correia MITD, Cuerda C, Evans DC, Fukushima R, Gautier JBO, Gonzalez MC, van Gossum A, Gramlich L, Hartono J, Heymsfield SB, Jager-Wittenaar H, Jayatissa R, Keller H, Malone A, Manzanares W, McMahon MM, Mendez Y, Mogensen KM, Mori N, Muscaritoli M, Nogales GC, Nyulasi I, Phillips W, Pirlich M, Pisprasert V, Rothenberg E, de van der Schueren M, Shi HP, Steiber A, Winkler MF, Compher C, Barazzoni R. Guidance for assessment of the inflammation etiologic criterion for the GLIM diagnosis of malnutrition: A modified Delphi approach. JPEN J Parenter Enteral Nutr 2024; 48:145-154. [PMID: 38221842 DOI: 10.1002/jpen.2590] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 12/08/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND The Global Leadership Initiative on Malnutrition (GLIM) approach to malnutrition diagnosis is based on assessment of three phenotypic (weight loss, low body mass index, and reduced skeletal muscle mass) and two etiologic (reduced food intake/assimilation and disease burden/inflammation) criteria, with diagnosis confirmed by fulfillment of any combination of at least one phenotypic and at least one etiologic criterion. The original GLIM description provided limited guidance regarding assessment of inflammation, and this has been a factor impeding further implementation of the GLIM criteria. We now seek to provide practical guidance for assessment of inflammation. METHODS A GLIM-constituted working group with 36 participants developed consensus-based guidance through a modified Delphi review. A multiround review and revision process served to develop seven guidance statements. RESULTS The final round of review was highly favorable, with 99% overall "agree" or "strongly agree" responses. The presence of acute or chronic disease, infection, or injury that is usually associated with inflammatory activity may be used to fulfill the GLIM disease burden/inflammation criterion, without the need for laboratory confirmation. However, we recommend that recognition of underlying medical conditions commonly associated with inflammation be supported by C-reactive protein (CRP) measurements when the contribution of inflammatory components is uncertain. Interpretation of CRP requires that consideration be given to the method, reference values, and units (milligrams per deciliter or milligram per liter) for the clinical laboratory that is being used. CONCLUSION Confirmation of inflammation should be guided by clinical judgment based on underlying diagnosis or condition, clinical signs, or CRP.
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Affiliation(s)
- Gordon L Jensen
- Deans Office and Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA
| | - Tommy Cederholm
- Clinical Nutrition & Metabolism, Uppsala University, Uppsala, Sweden
- Theme Inflammation & Ageing, Karolinska University Hospital, Stockholm, Sweden
| | | | - Renee Blaauw
- Division of Human Nutrition, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - M Isabel T D Correia
- Food Science Post Graduation Program; Surgery Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Cristina Cuerda
- Nutrition Unit, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - David C Evans
- Trauma, Critical Care, General & Gastrointestinal Surgery, OhioHealth Grant Medical Center, Columbus, Ohio, USA
| | - Ryoji Fukushima
- Department of Health and Dietetics, Faculty of Health and Medical Science, Teikyo Heisei University, Tokyo, Japan
| | | | | | - Andre van Gossum
- Department of Gastroenterology and Clinical Nutrition, Hospital Universitaire de Bruxelles, Brussels, Belgium
| | - Leah Gramlich
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Joseph Hartono
- Indonesian Central Army Gatot Soebroto Hospital, Jakarta, Indonesia
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Harriët Jager-Wittenaar
- Department of Gastroenterology and Hepatology, Dietetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Research Group Healthy Ageing, Allied Health Care and Nursing, Hanze University of Applied Sciences, Groningen, The Netherlands
| | - Renuka Jayatissa
- Department of Nutrition and Food Science, International Institute of Health Sciences, Colobo, Sri Lanka
| | - Heather Keller
- Department of Kinesiology and Health Sciences, Schlegel-UW Research Institute for Aging, University of Waterloo, Waterloo, Ontario, Canada
| | - Ainsley Malone
- American Society for Parenteral and Enteral Nutrition, Columbus, Ohio, USA
| | - William Manzanares
- Critical Care Medicine, Faculty of Medicine, Universidad de la República, Montevideo, Uruguay
| | - M Molly McMahon
- Division of Endocrinology, Metabolism, Diabetes and Nutrition, Mayo Clinic, Rochester, Minnesota, USA
| | - Yolanda Mendez
- Internal Medicine, Clinical Nutrition, Colegio Mexicano de Nutrición Clínica y Terapia Nutricional, Mexico City, Mexico
| | - Kris M Mogensen
- Department of Nutrition, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Naoharu Mori
- Department of Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Nagakute, Japan
| | | | | | - Ibolya Nyulasi
- Department of Medicine, Central Clinical School, Monash University; Department of Dietetics, Nutrition and Sport, La Trobe University, Melbourne, Victoria, Australia
| | | | - Matthias Pirlich
- Departments of Endocrinology, Gastroenterology, and Clinical Nutrition, Imperial Oak Outpatient Clinic, Berlin, Germany
| | - Veeradej Pisprasert
- Division of Clinical Nutrition, Department of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | | | - Marian de van der Schueren
- School of Allied Health, HAN University of Applied Sciences; Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Han Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Alison Steiber
- Academy of Nutrition and Dietetics, Cleveland, Ohio, USA
| | - Marion F Winkler
- Surgical Nutrition Service, Rhode Island Hospital, Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Charlene Compher
- Department of Biobehavioral Health Science, University of Pennsylvania School of Nursing and Clinical Nutrition Support Service, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
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20
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Huang H, Wang Q, Luo Y, Tang Z, Liu F, Zhang R, Cai G, Huang J, Zhang L, Zeng L, Cao X, Yang J, Wang Y, Wang K, Li Y, Li Q, Chen X, Dong Z. Validity and applicability of the global leadership initiative on malnutrition criteria in non-dialysis patients with chronic kidney disease. Front Nutr 2024; 11:1340153. [PMID: 38362100 PMCID: PMC10867223 DOI: 10.3389/fnut.2024.1340153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 01/16/2024] [Indexed: 02/17/2024] Open
Abstract
Introduction There are no standardized assessment criteria for selecting nutritional risk screening tools or indicators to assess reduced muscle mass (RMM) in the Global Leadership Initiative on Malnutrition (GLIM) criteria. We aimed to compare the consistency of different GLIM criteria with Subjective Global Assessment (SGA) and protein-energy wasting (PEW). Methods In this study, nutritional risk screening 2002 first four questions (NRS-2002-4Q), Nutritional Risk Screening 2002 (NRS-2002), Malnutrition Universal Screening Tool (MUST), and Mini-Nutritional Assessment Short-Form (MNA-SF) tools were used as the first step of nutritional risk screening for the GLIM. The RMM is expressed using different metrics. The SGA and PEW were used to diagnose patients and classify them as malnourished and non-malnourished. Kappa (κ) tests were used to compare the concordance between the SGA, PEW, and GLIM of each combination of screening tools. Results A total of 157 patients were included. Patients with Chronic kidney disease (CKD) stage 1-3 accounted for a large proportion (79.0%). The prevalence rates of malnutrition diagnosed using the SGA and PEW were 18.5% and 19.7%, respectively. The prevalence of GLIM-diagnosed malnutrition ranges from 5.1% to 37.6%, depending on the different screening methods for nutritional risk and the different indicators denoting RMM. The SGA was moderately consistent with the PEW (κ = 0.423, p < 0.001). The consistency among the GLIM, SGA, and PEW was generally low. Using the NRS-2002-4Q to screen for nutritional risk, GLIM had the best agreement with SGA and PEW when skeletal muscle index (SMI), fat-free mass index (FFMI), and hand grip strength (HGS) indicated a reduction in muscle mass (SGA: κ = 0.464, 95% CI 0.28-0.65; PEW: κ = 0.306, 95% CI 0.12-0.49). Conclusion The concordance between the GLIM criteria and the SGA and PEW depended on the screening tool used in the GLIM process. The inclusion of RMM in the GLIM framework is important. The addition of HGS could further improve the performance of the GLIM standard compared to the use of body composition measurements.
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Affiliation(s)
- Hui Huang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Qian Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yayong Luo
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zhengchun Tang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Fang Liu
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Ruimin Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Guangyan Cai
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Jing Huang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Li Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Li Zeng
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Xueying Cao
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Jian Yang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yong Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Keyun Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yaqing Li
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Qihu Li
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xiangmei Chen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zheyi Dong
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
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Jiang M, Chen J, Wu M, Wu J, Xu X, Li J, Liu C, Zhao Y, Hua X, Meng Q. Application of Global Leadership Initiative on Malnutrition criteria in patients with liver cirrhosis. Chin Med J (Engl) 2024; 137:97-104. [PMID: 38073306 PMCID: PMC10766297 DOI: 10.1097/cm9.0000000000002937] [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: 02/27/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND The Global Leadership Initiative on Malnutrition (GLIM) criteria were published to build a global consensus on nutritional diagnosis. Reduced muscle mass is a phenotypic criterion with strong evidence to support its inclusion in the GLIM consensus criteria. However, there is no consensus regarding how to accurately measure and define reduced muscle mass in clinical settings. This study aimed to investigate the optimal reference values of skeletal muscle mass index for diagnosing sarcopenia and GLIM-defined malnutrition, as well as the prevalence of GLIM-defined malnutrition in hospitalized cirrhotic patients. METHODS This retrospective study was conducted on 1002 adult patients with liver cirrhosis between January 1, 2018, and February 28, 2022, at Beijing You-An Hospital, Capital Medical University. Adult patients with a clinical diagnosis of liver cirrhosis and who underwent an abdominal computed tomography (CT) examination during hospitalization were included in the study. These patients were randomly divided into a modeling group (cohort 1, 667 patients) and a validation group (cohort 2, 335 patients). In cohort 1, optimal cut-off values of skeletal muscle index at the third lumbar skeletal muscle index (L3-SMI) were determined using receiver operating characteristic analyses against in-hospital mortality in different gender groups. Next, patients in cohort 2 were screened for nutritional risk using the Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. Additionally, the reference values of reduced muscle mass in GLIM criteria were derived from the L3-SMI values from cohort 1. Multivariate logistic regression analysis was used to analyze the association between GLIM-defined malnutrition and clinical outcomes. RESULTS The optimal cut-off values of L3-SMI were 39.50 cm 2 /m 2 for male patients and 33.06 cm 2 /m 2 for female patients. Based on the cut-off values, 31.63% (68/215) of the male patients and 23.3% (28/120) of the female patients had CT-determined sarcopenia in cohort 2. The prevalence of GLIM-defined malnutrition in cirrhotic patients was 34.3% (115/335) and GLIM-defined malnutrition was an independent risk factor for in-hospital mortality in patients with liver cirrhosis ( Wald = 6.347, P = 0.012). CONCLUSIONS This study provided reference values for skeletal muscle mass index and the prevalence of GLIM-defined malnutrition in hospitalized patients with liver cirrhosis. These reference values will contribute to applying the GLIM criteria in cirrhotic patients.
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Affiliation(s)
- Minjie Jiang
- Department of Hepatology, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
- Beijing Institute of Hepatology, Beijing 100069, China
| | - Juan Chen
- Department of Hepatology, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Muchen Wu
- Department of Hepatology, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Jing Wu
- Department of Hepatology, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Xiaotong Xu
- Department of Hepatology, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Juan Li
- Department of Medical Oncology, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Can Liu
- Department of Nutrition, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Yaping Zhao
- Department of Nutrition, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Xin Hua
- Department of Nutrition, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Qinghua Meng
- Department of Hepatology, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
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22
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van Dronkelaar C, Tieland M, Cederholm T, Reijnierse EM, Weijs PJM, Kruizenga H. Malnutrition Screening Tools Are Not Sensitive Enough to Identify Older Hospital Patients with Malnutrition. Nutrients 2023; 15:5126. [PMID: 38140387 PMCID: PMC10745606 DOI: 10.3390/nu15245126] [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: 11/08/2023] [Revised: 12/06/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023] Open
Abstract
This study evaluates the concurrent validity of five malnutrition screening tools to identify older hospitalized patients against the Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria as limited evidence is available. The screening tools Short Nutritional Assessment Questionnaire (SNAQ), Malnutrition Universal Screening Tool (MUST), Malnutrition Screening Tool (MST), Mini Nutritional Assessment-Short Form (MNA-SF), and the Patient-Generated Subjective Global Assessment-Short Form (PG-SGA-SF) with cut-offs for both malnutrition (conservative) and moderate malnutrition or risk of malnutrition (liberal) were used. The concurrent validity was determined by the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the level of agreement by Cohen's kappa. In total, 356 patients were included in the analyses (median age 70 y (IQR 63-77); 54% male). The prevalence of malnutrition according to the GLIM criteria without prior screening was 42%. The conservative cut-offs showed a low-to-moderate sensitivity (32-68%) and moderate-to-high specificity (61-98%). The PPV and NPV ranged from 59 to 94% and 67-86%, respectively. The Cohen's kappa showed poor agreement (k = 0.21-0.59). The liberal cut-offs displayed a moderate-to-high sensitivity (66-89%) and a low-to-high specificity (46-95%). The agreement was fair to good (k = 0.33-0.75). The currently used screening tools vary in their capacity to identify hospitalized older patients with malnutrition. The screening process in the GLIM framework requires further consideration.
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Affiliation(s)
- Carliene van Dronkelaar
- Center of Expertise Urban Vitality, Faculty of Sports and Nutrition, Amsterdam University of Applied Sciences, 1067 SM Amsterdam, The Netherlands; (M.T.); (E.M.R.); (P.J.M.W.); (H.K.)
- Department of Nutrition and Dietetics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, 1081 HV Amsterdam, The Netherlands
| | - Michael Tieland
- Center of Expertise Urban Vitality, Faculty of Sports and Nutrition, Amsterdam University of Applied Sciences, 1067 SM Amsterdam, The Netherlands; (M.T.); (E.M.R.); (P.J.M.W.); (H.K.)
| | - Tommy Cederholm
- Department of Public Health and Caring Sciences, Uppsala University, 751 22 Uppsala, Sweden;
- Theme Ageing, Karolinska University Hospital, 14186 Stockholm, Sweden
| | - Esmee M. Reijnierse
- Center of Expertise Urban Vitality, Faculty of Sports and Nutrition, Amsterdam University of Applied Sciences, 1067 SM Amsterdam, The Netherlands; (M.T.); (E.M.R.); (P.J.M.W.); (H.K.)
- Amsterdam Movement Sciences, Ageing & Vitality, 1081 HZ Amsterdam, The Netherlands
| | - Peter J. M. Weijs
- Center of Expertise Urban Vitality, Faculty of Sports and Nutrition, Amsterdam University of Applied Sciences, 1067 SM Amsterdam, The Netherlands; (M.T.); (E.M.R.); (P.J.M.W.); (H.K.)
- Department of Nutrition and Dietetics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, 1081 HV Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Ageing & Vitality, 1081 HZ Amsterdam, The Netherlands
| | - Hinke Kruizenga
- Center of Expertise Urban Vitality, Faculty of Sports and Nutrition, Amsterdam University of Applied Sciences, 1067 SM Amsterdam, The Netherlands; (M.T.); (E.M.R.); (P.J.M.W.); (H.K.)
- Department of Nutrition and Dietetics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, 1081 HV Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Ageing & Vitality, 1081 HZ Amsterdam, The Netherlands
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García Almeida JM, Bellido D, De Luis D, Guzmán Rolo G, Olveira G. Protocol for a prospective cohort study on the feasibility of application of nutritional ultrasound in the diagnosis and follow-up of patients with nutritional risk at hospital discharge: study on body composition and function (DRECO). BMJ Open 2023; 13:e074945. [PMID: 38070895 PMCID: PMC10729227 DOI: 10.1136/bmjopen-2023-074945] [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: 04/24/2023] [Accepted: 10/26/2023] [Indexed: 12/18/2023] Open
Abstract
INTRODUCTION Nutritional ultrasound (US) is an emerging technique in clinical nutrition for the morphological and structural study of muscle mass. Currently, all definitions of malnutrition include the measurement of muscle mass; however, there is no single way to assess it. It is necessary to develop new techniques to identify muscle involvement in malnutrition that are valid, standardised, reliable, accurate and profitable. OBJECTIVE To value the new muscle US techniques aimed to measure muscle and functional status, to make a more accurate diagnosis and a better prediction of complications and morbidity and mortality in patients at nutritional risk. PRIMARY OUTCOME to assess the feasibility of US or muscle US techniques in both nutritional diagnosis and follow-up in a nutritional intervention programme. METHODS AND ANALYSIS Disease-Related caloric-protein malnutrition EChOgraphy (DRECO) is a prospective, multicentre (25 Spanish hospitals), uncontrolled clinical study in standard clinical practice to value the usefulness of nutritional US (muscle US) in the nutritional diagnosis and follow-up, over 3-6 months, after standard nutritional clinical practice intervention and physical activity, to control their disease-related malnutrition. 1000 patients are expected to be included in. DISCUSSION This study will standardise nutritional US measures. It will validate and define specific cut-off values for nutritional US and correlate it with already well-known nutritional tools such as Subjective Global Assessment or Global Leadership Initiative on Malnutrition criteria. Thus, muscle US will become not only a tool to diagnose malnutrition, but it will also be integrated in the daily practice to evaluate nutritional interventions. ETHICS AND DISSEMINATION All DRECO study materials have been approved by each of the IRB/IEC of all the sites enrolled (either approval of the own IRB/IEC or validating the approval of the IRB/IEC of another hospital). The study has been registered with ClinicalTrials.gov, on 27 June 2022. The results from this study will be presented at scientific conferences and in peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER NCT05433831.
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Affiliation(s)
| | - Diego Bellido
- Department of Endocrinology and Nutrition, Complejo Hospitalario de Ferrol, A Coruña, Spain
| | - Daniel De Luis
- Department of Endocrinology and Nutrition, Valladolid University Hospital, Valladolid, Spain
| | | | - Gabriel Olveira
- Endocrinology and Nutrition Service, Regional University Hospital of Málaga. Málaga Biomedical Research Institute - BIONAND Platform, Málaga, Spain
- Department of Medicine and Dermatology, University of Málaga, Málaga, Spain
- CIBER of Diabetes and Associated Metabolic Diseases, Carlos III Health Institute, Málaga, Spain
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Xie H, Yuan K, Ruan G, Wei L, Zhang H, Ge Y, Lin S, Song M, Wang Z, Liu C, Shi J, Liu X, Yang M, Zheng X, Chen Y, Zhang X, Shi H. Improving the assessment of malnutrition in cancer: Using systemic inflammation markers as a supplement to the inflammation items of the GLIM criteria. Clin Nutr 2023; 42:2036-2044. [PMID: 37672850 DOI: 10.1016/j.clnu.2023.08.020] [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: 03/27/2023] [Revised: 08/15/2023] [Accepted: 08/28/2023] [Indexed: 09/08/2023]
Abstract
BACKGROUND & AIMS Systemic inflammation is a key pathogenic criterion for diagnosing malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria. Although cancer is commonly considered as a chronic inflammation-related disease, the inflammatory burden may vary depending on the type and stage of cancer. Therefore, a more precise definition of inflammation criteria could facilitate the identification of malnutrition in cancer. METHODS This prospective multicenter study included 1683 cancer patients screened via NRS2002 for malnutrition risk. The inflammatory burden index (IBI), C-reactive protein (CRP) level, neutrophil-to-lymphocyte ratio (NLR), and albumin (ALB) level were used to assess the inflammatory burden. Kaplan-Meier and Cox regression analyses were used to determine the relationship between the GLIM criteria and overall survival. Harrell's concordance index (C-index) was used to compare the discriminative performance of the original, IBI-based, CRP-based, NLR-based, and ALB-based GLIM criteria for survival. Logistic regression models were used to assess the association between GLIM criteria and short-term outcomes, length of hospital stay, and hospitalization costs. RESULTS Compared to the original GLIM criteria, the IBI/CRP/NLR/ALB-based GLIM criteria better predicted the long-term outcomes of patients with cancer (chi-square: 1.316 vs. 78.321 vs. 74.740 vs. 88.719 vs. 100.921). The C-index revealed that the inflammation marker-based GLIM criteria showed significantly better prognostic accuracy than the original GLIM criteria. The ALB-based GLIM criteria exhibited the best prognostic accuracy. The inflammation marker-based GLIM criteria were independent predictive factors for the long-term prognosis of cancer. Patients with malnutrition had a 45% higher risk of adverse long-term prognoses than those without malnutrition. The inflammation marker-based GLIM criteria had good prognostic ability to predict outcomes at 3, 6, and 12 months. The stepwise effect of the grading of severity via the IBI-based GLIM criteria and CRP-based GLIM criteria was notable. The inflammation marker-based GLIM criteria are useful for predicting short-term outcomes, length of hospitalization, and hospitalization costs. CONCLUSION The inflammation marker-based GLIM criteria have a stronger predictive value than the original GLIM criteria in evaluating both the short- and long-term prognoses of cancer patients. It is recommended to use the inflammation marker-based GLIM criteria for nutritional evaluation of cancer patients.
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Affiliation(s)
- Hailun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Kaitao Yuan
- Center of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510000, China
| | - Guotian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Lishuang Wei
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, 100020, Beijing, China
| | - Heyang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Yizhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Shiqi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Mengmeng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Ziwen Wang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Chenan Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Jinyu Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiaoyue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Yue Chen
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiaowei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Hanping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.
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García Almeida JM, Vegas Aguilar IM, Calleja Fernández A, Porca Fernández C, Casañas Quintana T, Tejera Pérez C, Tinahones Madueño FJ, Bellido Guerrero D. Glycaemic and insulinaemic impact of a diabetes-specific oral nutritional supplement with extra-virgin olive oil in patients with type 2 diabetes mellitus at nutritional risk: a randomized, double-blind, crossover, multicentre clinical trial (DIACARE). NUTR HOSP 2023; 40:692-700. [PMID: 37409714 DOI: 10.20960/nh.04577] [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: 07/07/2023] Open
Abstract
Introduction Introduction: there is controversy about the usefulness of specific enteral nutrition formulas in malnourished patients with diabetes. The effects on blood glucose and other aspects of metabolic control are not fully understood in the scientific literature. Objective: the aim of the study was to compare the glycaemic and insulinaemic response of patients with type 2 diabetes at risk of malnutrition after oral feed between a diabetes-specific formula with AOVE (DSF) and a standard one (STF). Methods: A randomized, double-blind, crossover, multicentre clinical trial was conducted in patients with type 2 diabetes at risk of malnutrition (SGA). The patients were randomized to receive either DSF or STF, a week apart. A glycaemia and insulinaemia curve was made at times 0 minutes, 30 min, 60 min, 90 min, 120 min, and 180 min after the patients drank 200 ml of the oral nutritional supplement (ONS). The principal variables were the area under the curve (AUC0-t) of glucose and insulin. Results: 29 patients (51 % women) were included, who were on average 68.84 (SD 11.37) years old. Regarding the degree of malnutrition, 86.2 % presented moderate malnutrition (B) and 13.8 % severe (C). When the patients received the DSF, they had a lower mean of glucose AUC0-t (-3,325.34 mg/min/dl [95 % CI: -4,3608.34 to -2,290.07]; p = 0.016) and also a lower mean of insulin AUC0-t (-451.14 uU/min/ml [95 % CI: -875,10 to -27.17]; p = 0.038). There were no differences in the degree of malnutrition. Conclusion: compared with STF, DSF with AOVE showed a better glycaemic and insulinaemic response in patients with type 2 diabetes at risk of malnutrition.
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Affiliation(s)
| | | | | | | | | | - Cristina Tejera Pérez
- Servicio de Endocrinología y Nutrición. Complejo Hospitalario Universitario de Ferrol
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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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Gressies C, Schuetz P. Nutritional issues concerning general medical ward patients: feeding patients recovering from critical illness. Curr Opin Clin Nutr Metab Care 2023; 26:138-145. [PMID: 36730133 DOI: 10.1097/mco.0000000000000894] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
PURPOSE OF REVIEW ICU survivors often spend long periods of time in general wards following transfer from ICU in which they are still nutritionally compromised. This brief review will focus on the feeding of patients recovering from critical illness, as no formal recommendations or guidelines on nutrition management are available for this specific situation. RECENT FINDINGS While feeding should start in the ICU, it is important to continue and adapt nutritional plans on the ward to support individuals recovering from critical illness. This process is highly complex - suboptimal feeding may contribute significantly to higher morbidity and mortality, and seriously hinder recovery from illness. Recently, consensus diagnostic criteria for malnutrition have been defined and large-scale trials have advanced our understanding of the pathophysiological pathways underlying malnutrition. They have also helped further develop treatment algorithms. However, we must continue to identify specific clinical parameters and blood biomarkers to further personalize therapy for malnourished patients. Better understanding of such factors may help us adapt nutritional plans more efficiently. SUMMARY Adequate nutrition is a vigorous component of treatment in the post-ICU period and can enhance recovery and improve clinical outcome. To better personalize nutritional treatment because not every patient benefits from support in the same manner, it is important to further investigate biomarkers with a possible prognostic value.
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Affiliation(s)
- Carla Gressies
- Division of General Internal and Emergency Medicine, Medical University Department, Cantonal Hospital Aarau, Aarau
| | - Philipp Schuetz
- Division of General Internal and Emergency Medicine, Medical University Department, Cantonal Hospital Aarau, Aarau
- University of Basel, Basel, Switzerland
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Matsui R, Rifu K, Watanabe J, Inaki N, Fukunaga T. Impact of malnutrition as defined by the GLIM criteria on treatment outcomes in patients with cancer: A systematic review and meta-analysis. Clin Nutr 2023; 42:615-624. [PMID: 36931162 DOI: 10.1016/j.clnu.2023.02.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 02/01/2023] [Accepted: 02/20/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND & AIMS Malnutrition has been reported to lead to poor postoperative outcomes. The Global Leadership Initiative on Malnutrition (GLIM) criteria were published in 2019 as a global consensus on the criteria for diagnosing malnutrition. However, the relationship between GLIM-defined malnutrition and treatment outcomes in patients with cancer has not been fully investigated. Therefore, this study aimed to clarify the impact of GLIM-defined malnutrition on the treatment outcomes of patients with cancer. METHODS We searched MEDLINE, the Cochrane Central Register of Controlled Trials, EMBASE, the World Health Organization International Clinical Trials Platform Search Portal, and ClinicalTrials.gov and identified observational studies published from inception to January 17, 2022. We conducted a systematic review and random-effects meta-analysis studies that included patients with cancer aged >18 years who received any kind of treatment and whose nutritional status was assessed using GLIM criteria. We independently assessed the risk of bias and quality of evidence using Quality In Prognosis Studies and Grading of Recommendations, Assessment, Development, and Evaluation approach. The primary outcomes were overall survival (OS) and postoperative complications. Hazard ratios and 95% confidence intervals (CIs) for OS and relative risk ratios and 95% CIs for postoperative complications were pooled. The protocol was published by PROSPERO (CRD42022304004). RESULTS Of 67 studies after screening, ten studies (n = 11,700) reported the impact of GLIM-defined malnutrition on postoperative outcomes. Compared with no malnutrition, GLIM-defined malnutrition may worsen OS (hazard ratio, 1.56; 95% CI, 1.38-1.75; I2 = 37%) and increase postoperative complications (relative risk ratio, 1.82; 95% CI, 1.28-2.60; I2 = 87%). The risk of bias in each study was either moderate or high. The certainty of the evidence was low because of publication bias and a moderate or high risk of bias. CONCLUSIONS GLIM-defined malnutrition may worsen OS and increase the risk of postoperative complications in patients with cancer undergoing treatment. Further studies are needed to confirm these findings and mitigate this risk.
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Affiliation(s)
- Ryota Matsui
- Department of Surgery, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu City, Chiba 279-0021, Japan; Department of Upper Gastrointestinal Surgery, Juntendo University Hospital, 3-1-3 Hongo, Bunkyo-ku, Tokyo 113-8431, Japan; Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo 135-8550, Japan.
| | - Kazuma Rifu
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke City, Tochigi 329-0498, Japan.
| | - Jun Watanabe
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke City, Tochigi 329-0498, Japan; Center for Community Medicine, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke City, Tochigi 329-0498, Japan.
| | - Noriyuki Inaki
- Department of Upper Gastrointestinal Surgery, Juntendo University Hospital, 3-1-3 Hongo, Bunkyo-ku, Tokyo 113-8431, Japan; Department of Gastrointestinal Surgery/Breast Surgery, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa City, Ishikawa 920-8641, Japan.
| | - Tetsu Fukunaga
- Department of Upper Gastrointestinal Surgery, Juntendo University Hospital, 3-1-3 Hongo, Bunkyo-ku, Tokyo 113-8431, Japan.
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Multidisciplinary Assessment and Individualized Nutritional Management of Dysphagia in Older Outpatients. Nutrients 2023; 15:nu15051103. [PMID: 36904102 PMCID: PMC10004837 DOI: 10.3390/nu15051103] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/17/2023] [Accepted: 02/21/2023] [Indexed: 02/25/2023] Open
Abstract
INTRODUCTION The evidence on the efficacy of nutrition therapy to prevent complications of dysphagia is based on observational studies that used different tools for nutritional and dysphagia assessment, and different scales for the definition of diet textures, rendering their results incomparable and the knowledge on dysphagia management inconclusive. METHODS This retrospective observational study was performed in 267 older outpatients who were assessed for dysphagia and nutritional status by a multidisciplinary team at the Clinical Nutrition Unit of IRCCS INRCA geriatric research hospital (Ancona, Italy) from 2018 to 2021. GUSS test and ASHA-NOMS measurement systems were used for dysphagia assessment, GLIM criteria for the assessment of nutritional status, and the IDDSI framework to describe the texture-modified diets. Descriptive statistics were used to summarize the characteristics of the subjects evaluated. Sociodemographic, functional and clinical parameters were compared between patients with and without BMI improvement overtime by an unpaired Student's t test, Mann-Whitney U test or Chi square test, as appropriate. RESULTS Dysphagia was diagnosed in more than 96.0% of subjects; 22.1% (n = 59) of dysphagic subjects were also malnourished. Dysphagia was treated exclusively by nutrition therapy, prevalently by individualized texture-modified diets (77.4%). For the classification of diet texture, the IDDSI framework was used. The follow-up visit was attended by 63.7% (n = 102) of subjects. Aspiration pneumonia was registered only in one patient (less than 1%), and BMI improved in 13 of 19 malnourished subjects (68.4%). The improvement of nutritional status was primarily reached in subjects whose energy intake was increased and texture of solids modified, in younger subjects, and in those taking less drugs and not reporting any weight loss before the first assessment. CONCLUSIONS The nutritional management of dysphagia must guarantee both an adequate consistency and energy-protein intake. Evaluations and outcomes should be described with universal scales, in order to allow for comparison between studies and contribute to the collection of a critical mass of evidence on the efficacy of texture-modified diets in the management of dysphagia and its complications.
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GLIM Criteria for Assessment of Malnutrition in Saudi Patients with Type 2 Diabetes. Nutrients 2023; 15:nu15040897. [PMID: 36839255 PMCID: PMC9959813 DOI: 10.3390/nu15040897] [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: 12/28/2022] [Revised: 02/01/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023] Open
Abstract
The Global Leadership Initiative on Malnutrition (GLIM) is a new approach established for the assessment of malnutrition. This study aimed to validate the GLIM for the diagnosis of malnutrition in patients with type 2 diabetes mellitus (T2DM) in Saudi Arabia, using the Subjective Global Assessment (SGA) as a reference. In addition, the association between the GLIM criteria and vascular complications in those patients was examined. A cross-sectional study was conducted on 101 patients with T2DM. The level of agreement between the GLIM and SGA tools was calculated using the kappa coefficient (κ). A receiver operating characteristic curve was used to determine the sensitivity and specificity of the GLIM. In addition, binary logistic regression was performed to investigate the association between each GLIM criterion and T2DM vascular complications. According to both the GLIM and the SGA, malnutrition was found in 15.8% and 17.8% of patients, respectively. The GLIM criteria achieved a very good level of accuracy (AUC = 0.877). The agreement between the tools was substantial (κ = 0.778). The 'disease/inflammation' criterion of the GLIM was significantly associated with macrovascular complications. To conclude, the GLIM criteria for diagnosis of malnutrition presented satisfactory levels of validity, and as such are acceptable for assessing the nutritional status of patients with T2DM.
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Cederholm T, Barazzoni R. Validity and feasibility of the global leadership initiative on malnutrition diagnostic concept in older people: a literature review from August 2021 to August 2022. Curr Opin Clin Nutr Metab Care 2023; 26:23-31. [PMID: 36485034 DOI: 10.1097/mco.0000000000000886] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE OF REVIEW Early 2019, the Global Leadership Initiative on Malnutrition (GLIM) concept offered a clinically applicable and objective procedure for diagnosing malnutrition. This review summarizes 40 publications from August 2021 to August 2022 that applied the GLIM criteria in older populations from various clinical settings for criterion and predictive validation. RECENT FINDINGS Criterion validity studies, by comparing the GLIM construct with various semi-gold standards such as SGA, PG-SGA, MNA-FF/SF and ESPEN criteria, indicate by sensitivity, specificity and agreement that GLIM performs at least as well as the other tools to capture malnutrition. One meta-analysis of 20 studies with various comparators reports high accuracy for distinguishing malnutrition. GLIM-malnutrition prevalence figures vary with screening tool. Predictive validity of GLIM for mortality, and other outcomes, is good in all settings reported. Sarcopenia and GLIM show some expected overlapping. SUMMARY In populations more than 60 years old, the GLIM construct appears to have well acceptable criterion validity as well as predictive validity. The continuous implementation of the GLIM concept is justified.
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Affiliation(s)
- Tommy Cederholm
- Department of Public Health and Caring Sciences, Uppsala University. Theme Ageing, Karolinska University Hospital, Stockholm, Sweden
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
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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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Impact of malnutrition as defined by the global leadership initiative on malnutrition criteria on the long-term prognosis in older patients with gastric cancer after gastrectomy. Surg Today 2022; 53:578-587. [PMID: 36131158 DOI: 10.1007/s00595-022-02594-5] [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: 03/18/2022] [Accepted: 09/07/2022] [Indexed: 10/14/2022]
Abstract
PURPOSE This study investigated whether or not the impact of malnutrition, as defined by the Global Leadership Initiative on Malnutrition (GLIM) criteria, on the long-term prognosis after gastrectomy differed between older and young patients with advanced gastric cancer. METHODS This study included patients with primary stage I-III gastric cancer who underwent gastrectomy between April 2008 and June 2018. Patients were divided into normal, moderate, and severe malnutrition groups according to the GLIM criteria for the body mass index (BMI) and body weight loss (BWL). The primary endpoint was the overall survival (OS). RESULTS Of the 512 patients, 274 (53.5%) were included in the younger group (< 70 years old) and 238 (46.5%) in the older group (≥ 70 years old). The prevalence of moderate and severe malnutrition was significantly higher in the older group than in the younger group (P < 0.001 and P = 0.001, respectively). A multivariate analysis showed that moderate malnutrition [hazard ratio (HR) 1.793, P = 0.028] and severe malnutrition (HR 2.374, P = 0.002) were independent prognostic factors in the older group but not in the younger group. CONCLUSION GLIM criteria-defined malnutrition did not correlate with the prognosis in the younger group, whereas moderate and severe malnutrition were independent poor prognostic factors for the OS in the older group.
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Ji T, Li Y, Liu P, Zhang Y, Song Y, Ma L. Validation of GLIM criteria on malnutrition in older Chinese inpatients. Front Nutr 2022; 9:969666. [PMID: 36185642 PMCID: PMC9521176 DOI: 10.3389/fnut.2022.969666] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveMalnutrition is a nutritional disorder and common syndrome that has a high incidence and is easily ignored in hospitalized older patients. It can lead to multiple poor prognoses, such as frailty. Early identification and correct evaluation of possible malnutrition and frailty are essential to improve clinical outcomes in older patients. Therefore, our objective was to explore the applicability and effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) criteria for identifying malnutrition in older patients.MethodsIn total, 223 participants aged ≥60 years were involved. Nutrition was evaluated using the Mini Nutritional Assessment-Full Form (MNA-FF) and GLIM criteria, which adopt a two-step procedure. The first step was to use three different methods for the screening of nutritional risk: the Nutrition Risk Screening 2002, the Mini Nutritional Assessment Short Form (MNA-SF), and the Malnutrition Universal Screening Tool. The second step was to link a combination of at least one phenotypical criterion and one etiological criterion to diagnose malnutrition. The Clinical Frailty Scale was used to assess frailty. Sensitivity, specificity, Youden index, kappa values, and positive and negative predictive values were used to evaluate the validity of the GLIM criteria. Logistic regression models were used to assess whether there was a correlation between malnutrition, as defined by the GLIM criteria, and frailty.ResultsWe found that 32.3–49.8% of our patient sample were at risk of malnutrition based on the GLIM diagnosis and using the three different screening tools; 19.3–27.8% of the patients were malnourished. GLIM criteria with MNA-SF as a diagnostic validation and MNA-FF as a reference showed high consistency (K = 0.629; p < 0.001), sensitivity (90.5%), and specificity (86.4%). Logistic regression analysis showed that malnutrition, using MNA-SF with the GLIM criteria, was relevant for a higher likelihood of frailty (OR = 1.887; 95% CI 1.184–2.589).ConclusionsThe incidence of GLIM-defined malnutrition was 19.3–27.8% using different screening tools. The consistency between the GLIM criteria using the MNA-SF and the MNA methods was high. Malnutrition, as diagnosed by the GLIM criteria with MNA-SF, was significantly correlated with frailty. GLIM criteria with MNA-SF may be a more reliable malnutrition assessment process in older inpatients.
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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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