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Yao J, Zhang Y, Gao B, Zhou M. Associations of Preoperative Nutritional Status and Sarcopenia With Mortality in Patients With Abdominal Aortic Aneurysm After Open and Endovascular Abdominal Aortic Aneurysm Repair: A Retrospective Study. J Cardiothorac Vasc Anesth 2024:S1053-0770(24)00162-9. [PMID: 38521631 DOI: 10.1053/j.jvca.2024.02.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 02/21/2024] [Accepted: 02/27/2024] [Indexed: 03/25/2024]
Abstract
OBJECTIVE The effect of preoperative malnutrition and sarcopenia on outcomes in patients with abdominal aortic aneurysm (AAA) after open surgical repair (OSR) and endovascular abdominal aortic aneurysm repair is undefined. The authors conducted the study to address this issue in this population. DESIGN A retrospective observational study. SETTING A large tertiary hospital. PARTICIPANTS Patients with AAA who underwent OSR and endovascular aneurysm repair (EVAR). INTERVENTIONS Evaluation of nutritional status (Nutritional Risk Screening 2002 [NRS 2002] and the Controlling Nutritional Status [CONUT] scores), muscle size (skeletal muscle index), and postoperative parameters. MEASUREMENTS AND MAIN RESULTS A total of 199 patients were reviewed from January 2020 to December 2022. Patients weew categorized into group A (CONUT <4) and group B (CONUT ≥4) based on whether their CONUT scores were less than 4. The mortality (p = 0.004) and the incidence of Clavien-Dindo class III complications (p = 0.007) in group B were higher than those in group A. CONUT score was an independent risk factor for midterm mortality (hazard ratio 1.329; 95% CI, 1.104-1.697; p = 0.002) and Clavien-Dindo class III complications (odds ratio 1.225; 95% CI, 1.012-1.482; p = 0.037) according to univariate and multivariate analyses, whereas NRS 2002 score and sarcopenia were not. Kaplan-Meier curves showed a lower midterm survival rate in group B (log-rank p < 0.001). CONCLUSION In patients with AAA undergoing OSR or EVAR, a CONUT score ≥4 was associated with increased Clavien-Dindo class III complications and mortality. Preoperative nutritional status should be evaluated and optimized in this high-risk population.
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Affiliation(s)
- Jiashu Yao
- Department of Clinical Nutrition, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Yepeng Zhang
- Department of Vascular Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Bo Gao
- Department of Clinical Nutrition, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
| | - Min Zhou
- Department of Vascular Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Leandro-Merhi VA, Dos Santos HAV, Almendra AAR, de Aquino JLB. Nutritional indicators' performance in malnutrition diagnosis of hospitalized elderly patients. Exp Gerontol 2023; 181:112286. [PMID: 37683730 DOI: 10.1016/j.exger.2023.112286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 05/29/2023] [Accepted: 09/05/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND Several nutritional diagnosis methods and their relationship with clinical outcomes have been described. This study investigated malnutrition in hospitalized elderly patients (HEP) using different nutritional indicators and determined criteria to identify malnutrition and explore the variables that discriminate the risk of malnutrition. METHOD Cross-sectional study with 500 HEP; different methods of nutritional diagnosis, their relationship with clinical outcomes and criteria for defining malnutrition were investigated. The GLIM criteria for the diagnosis of malnutrition was applied in this study. In the statistical analysis, the Chi-square test, Fisher's exact test, Mann-Whitney test, univariate and multiple logistic regression and the ROC curve were used. RESULTS Patients aged 65-79 years, at nutritional risk or with malnutrition, had longer hospital stays (p = 0.0099; OR = 1.047; 95% CI = 1.011; 1.084) and lower body mass index (BMI) (p < 0.0001; OR = 0.867 (1153)); 95% CI = 0.813; 0.924 (1085; 1225). Patients aged ≥80 years had a lower BMI (p = 0.0053; OR = 0.779 (1284); 95% CI = 0.653; 0.928 (1078; 1531)). Accuracy was significant in both age groups for BMI (p < 0.0001; 65-79 years and p = 0.001; ≥80 years); for the lymphocyte count (p = 0.0167; 65-79 years and p = 0.0028; ≥80 years), and for the calf circumference (CC) (p < 0.0001; 65-79 years and p = 0.001; ≥80 years). Using the GLIM criteria, 27.78% of patients were considered malnourished. CC showed good accuracy, good specificity, but low sensitivity while BMI was more accurate to detect malnutrition in both age groups. CONCLUSION CC showed good accuracy, good specificity, but low sensitivity to detect malnutrition. BMI was more accurate in both age groups to detect malnutrition.
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Fonseca ALF, Santos BC, Anastácio LR, Pereira RG, Correia MITD, Lima AS, Mizubuti YGG, Ferreira SC, Ferreira LG. Global Leadership Initiative on Malnutrition criteria for the diagnosis of malnutrition and prediction of mortality in patients awaiting liver transplant: A validation study. Nutrition 2023; 114:112093. [PMID: 37437417 DOI: 10.1016/j.nut.2023.112093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/02/2023] [Accepted: 05/21/2023] [Indexed: 07/14/2023]
Abstract
OBJECTIVES The Global Leadership Initiative on Malnutrition (GLIM) is a framework aiming to standardize malnutrition diagnosis. However, it still needs to be validated, in particular for patients with chronic liver disease. This study aimed to validate the GLIM criteria in patients with liver cirrhosis awaiting liver transplant (LTx). METHODS This was a retrospective observational study carried out with adult patients on the waiting list for LTx, consecutively evaluated between 2006 and 2021. The phenotypic criteria were unintentional weight loss, low body mass index, and reduced muscle mass (midarm muscle circumference [MAMC]). The etiologic criteria were high Model for End-Stage Liver Disease (MELD) and MELD adjusted for serum sodium (MELD-Na) scores, the Child-Pugh score, low serum albumin, and low food intake and/or assimilation. Forty-three GLIM combinations were tested. Sensitivity (SE), specificity (SP), positive and negative predictive values, and machine learning (ML) techniques were used. Survival analysis with Cox regression was carried out. RESULTS A total of 419 patients with advanced liver cirrhosis were included (median age, 52.0 y [46-59 y]; 69.2% male; 68.8% malnourished according to the Subjective Global Assessment [SGA]). The prevalence of malnutrition by the GLIM criteria ranged from 3.1% to 58.2%, and five combinations had SE or SP >80%. The MAMC as a phenotypic criterion with MELD and MELD-Na as etiologic criteria were predictors of mortality. The MAMC and the presence of any phenotypic criteria associated with liver disease parameters and low food intake or assimilation were associated with malnutrition prediction in ML analysis. CONCLUSIONS The MAMC and liver disease parameters were associated with malnutrition diagnosis by SGA and were also predictors of 1-y mortality in patients with liver cirrhosis awaiting LTx.
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Affiliation(s)
| | - Bárbara Chaves Santos
- Food Science Graduate Program, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Ramon Gonçalves Pereira
- Computer Science Graduate Program, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Agnaldo Soares Lima
- Surgery PostGraduate Program, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | | | - Lívia Garcia Ferreira
- Nutrition and Health Graduate Program, Universidade Federal de Lavras, Lavras, Brazil.
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Fontane L, Reig MH, Garcia-Ribera S, Herranz M, Miracle M, Chillaron JJ, Estepa A, Toro S, Ballesta S, Navarro H, Llaurado G, Pedro-Botet J, Benaiges D. Validity and Applicability of the Global Leadership Initiative on Malnutrition (GLIM) Criteria in Patients Hospitalized for Acute Medical Conditions. Nutrients 2023; 15:4012. [PMID: 37764796 PMCID: PMC10535463 DOI: 10.3390/nu15184012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 09/29/2023] Open
Abstract
(1) Background: The objectives of this study were to evaluate the concurrent and predictive validity and the applicability of the global leadership initiative on malnutrition (GLIM) criteria in patients hospitalized for acute medical conditions. (2) Methods: prospective cohort study with patients hospitalized for acute medical conditions. For validation, the methodology proposed by the GLIM group of experts was used. Sensitivity and specificity values greater than 80% with respect to those for the subjective global assessment (SGA) were necessary for concurrent validation. The time necessary to complete each nutritional assessment test was determined. (3) Results: A total of 119 patients were evaluated. The SGA was applied to the entire cohort, but the GLIM criteria could not be applied to 3.4% of the patients. The sensitivity and specificity of the GLIM criteria with respect to those for the SGA to detect malnutrition were 78.0 and 86.2%, respectively. The GLIM predictive validity criterion was fulfilled because patients with malnutrition more frequently had a hospital stay >10 days (odds ratio of 2.98 (1.21-7.60)). The GLIM criteria required significantly more time for completion than did the SGA (p = 0.006). (4) Conclusion: The results of this study do not support the use of the GLIM criteria over the SGA for the diagnosis of malnutrition in patients hospitalized for acute medical conditions.
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Affiliation(s)
- Laia Fontane
- Department of Endocrinology and Nutrition, Consorci Sanitari Alt Penedès-Garraf, Espirall, 61, 08720 Vilafranca del Penedès, Spain; (L.F.); (M.H.R.); (S.G.-R.); (M.H.); (J.J.C.); (A.E.); (S.T.); (S.B.); (H.N.)
- Department of Endocrinology and Nutrition, Hospital del Mar, Passeig Marítim, 25-29, 08003 Barcelona, Spain; (G.L.); (J.P.-B.)
| | - Maria Helena Reig
- Department of Endocrinology and Nutrition, Consorci Sanitari Alt Penedès-Garraf, Espirall, 61, 08720 Vilafranca del Penedès, Spain; (L.F.); (M.H.R.); (S.G.-R.); (M.H.); (J.J.C.); (A.E.); (S.T.); (S.B.); (H.N.)
| | - Sonika Garcia-Ribera
- Department of Endocrinology and Nutrition, Consorci Sanitari Alt Penedès-Garraf, Espirall, 61, 08720 Vilafranca del Penedès, Spain; (L.F.); (M.H.R.); (S.G.-R.); (M.H.); (J.J.C.); (A.E.); (S.T.); (S.B.); (H.N.)
- Department of Endocrinology and Nutrition, Hospital del Mar, Passeig Marítim, 25-29, 08003 Barcelona, Spain; (G.L.); (J.P.-B.)
| | - Miriam Herranz
- Department of Endocrinology and Nutrition, Consorci Sanitari Alt Penedès-Garraf, Espirall, 61, 08720 Vilafranca del Penedès, Spain; (L.F.); (M.H.R.); (S.G.-R.); (M.H.); (J.J.C.); (A.E.); (S.T.); (S.B.); (H.N.)
| | - Mar Miracle
- Facultat de Farmàcia i Ciències de l’Alimentació, Universitat de Barcelona, Joan XXIII, 08028 Barcelona, Spain;
| | - Juan Jose Chillaron
- Department of Endocrinology and Nutrition, Consorci Sanitari Alt Penedès-Garraf, Espirall, 61, 08720 Vilafranca del Penedès, Spain; (L.F.); (M.H.R.); (S.G.-R.); (M.H.); (J.J.C.); (A.E.); (S.T.); (S.B.); (H.N.)
- Department of Endocrinology and Nutrition, Hospital del Mar, Passeig Marítim, 25-29, 08003 Barcelona, Spain; (G.L.); (J.P.-B.)
- Department of Medicine, Universitat Pompeu Fabra, Plaça de la Mercè, 10-12, 08002 Barcelona, Spain
- Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Dr. Aiguader, 80, 08003 Barcelona, Spain
| | - Araceli Estepa
- Department of Endocrinology and Nutrition, Consorci Sanitari Alt Penedès-Garraf, Espirall, 61, 08720 Vilafranca del Penedès, Spain; (L.F.); (M.H.R.); (S.G.-R.); (M.H.); (J.J.C.); (A.E.); (S.T.); (S.B.); (H.N.)
| | - Silvia Toro
- Department of Endocrinology and Nutrition, Consorci Sanitari Alt Penedès-Garraf, Espirall, 61, 08720 Vilafranca del Penedès, Spain; (L.F.); (M.H.R.); (S.G.-R.); (M.H.); (J.J.C.); (A.E.); (S.T.); (S.B.); (H.N.)
| | - Silvia Ballesta
- Department of Endocrinology and Nutrition, Consorci Sanitari Alt Penedès-Garraf, Espirall, 61, 08720 Vilafranca del Penedès, Spain; (L.F.); (M.H.R.); (S.G.-R.); (M.H.); (J.J.C.); (A.E.); (S.T.); (S.B.); (H.N.)
- Department of Endocrinology and Nutrition, Hospital del Mar, Passeig Marítim, 25-29, 08003 Barcelona, Spain; (G.L.); (J.P.-B.)
- Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Dr. Aiguader, 80, 08003 Barcelona, Spain
| | - Humberto Navarro
- Department of Endocrinology and Nutrition, Consorci Sanitari Alt Penedès-Garraf, Espirall, 61, 08720 Vilafranca del Penedès, Spain; (L.F.); (M.H.R.); (S.G.-R.); (M.H.); (J.J.C.); (A.E.); (S.T.); (S.B.); (H.N.)
- Department of Medicine, Universitat Autònoma de Barcelona, Campus Universitari Mar., Dr. Aiguader, 80, 08003 Barcelona, Spain
| | - Gemma Llaurado
- Department of Endocrinology and Nutrition, Hospital del Mar, Passeig Marítim, 25-29, 08003 Barcelona, Spain; (G.L.); (J.P.-B.)
- Department of Medicine, Universitat Pompeu Fabra, Plaça de la Mercè, 10-12, 08002 Barcelona, Spain
- Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Dr. Aiguader, 80, 08003 Barcelona, Spain
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Barcelona, Spain
| | - Juan Pedro-Botet
- Department of Endocrinology and Nutrition, Hospital del Mar, Passeig Marítim, 25-29, 08003 Barcelona, Spain; (G.L.); (J.P.-B.)
- Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Dr. Aiguader, 80, 08003 Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Campus Universitari Mar., Dr. Aiguader, 80, 08003 Barcelona, Spain
| | - David Benaiges
- Department of Endocrinology and Nutrition, Consorci Sanitari Alt Penedès-Garraf, Espirall, 61, 08720 Vilafranca del Penedès, Spain; (L.F.); (M.H.R.); (S.G.-R.); (M.H.); (J.J.C.); (A.E.); (S.T.); (S.B.); (H.N.)
- Department of Endocrinology and Nutrition, Hospital del Mar, Passeig Marítim, 25-29, 08003 Barcelona, Spain; (G.L.); (J.P.-B.)
- Department of Medicine, Universitat Pompeu Fabra, Plaça de la Mercè, 10-12, 08002 Barcelona, Spain
- Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Dr. Aiguader, 80, 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición, Monforte de Lemos Avenue, 3-5, Pavilion 11, Floor 0, 28029 Madrid, Spain
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Stefani GP, Crestani MS, Scott LM, Soares CH, Steemburgo T. Complementarity of nutritional assessment tools to predict prolonged hospital stay and readmission in older patients with solid tumors: A secondary analysis of a cohort study. Nutrition 2023; 113:112089. [PMID: 37354653 DOI: 10.1016/j.nut.2023.112089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/06/2023] [Accepted: 05/19/2023] [Indexed: 06/26/2023]
Abstract
OBJECTIVE The aim of this study was to investigate the complementarity of five nutritional risk screening tools (Nutritional Risk Screening 2002 [NRS-2002], Malnutrition Screening Tool [MST], Malnutrition Universal Screening Tool [MUST], Mini-Nutritional Assessment-Short Form [MNA-SF], and Patient-Generated Subjective Global Assessment SF [PG-SGA SF]) combined with three malnutrition diagnostic tools (SGA, PG-SGA, and Global Leadership Initiative on Malnutrition [GLIM]) and their ability to predict poor clinical outcomes in older patients with cancer. METHODS Using data collected within 48 h of hospital admission, we conducted a prospective cohort study on nutritional risk (NRS-2002, MST, MUST, MNA-SF, and PG-SGA SF) and the presence of malnutrition (SGA, PG-SGA, and GLIM). Patients were grouped according to their nutritional risk and malnutrition status. Accuracy tests and logistic regression analysis were used to evaluate the ability of the combined tools to predict hospital length of stay and readmission. We evaluated 248 older patients (69.7 ± 7.2 y of age, 59.7% men; 27.4% with gastrointestinal tumors). The median length of stay was 4 d (3-9 d), and 65.3% of patients remained hospitalized for ≥ 4 d. RESULTS The NRS-2002 combined with SGA and MST combined with SGA and GLIM had the highest specificity (> 80%) for predicting hospitalization. Nutritional risk assessed by MNA-SF and malnutrition assessed by PG-SGA were associated with 2.48- and 6.04-fold increased likelihood of hospitalization (≥ 4 d) and readmission (60 d), respectively. CONCLUSION Concomitant application of MNA-SF (specific for older patients) with PG-SGA (specific for patients with cancer) might enhance the ability to predict length of stay and readmission in hospitalized older patients with solid tumors.
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Affiliation(s)
- Giovanna Potrick Stefani
- Postgraduate Program in Food, Nutrition, and Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Hospital de Clínicas de Porto Alegre, Porto, Alegre, Brazil
| | - Mariana Scortegagna Crestani
- Postgraduate Program in Food, Nutrition, and Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Hospital de Clínicas de Porto Alegre, Porto, Alegre, Brazil
| | - Laura Machado Scott
- Hospital de Clínicas de Porto Alegre, Porto, Alegre, Brazil; Department of Nutrition, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Camilla Horn Soares
- Hospital de Clínicas de Porto Alegre, Porto, Alegre, Brazil; Department of Nutrition, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Thais Steemburgo
- Postgraduate Program in Food, Nutrition, and Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Hospital de Clínicas de Porto Alegre, Porto, Alegre, Brazil; Department of Nutrition, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
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Wan SN, Thiam CN, Ang QX, Engkasan J, Ong T. Incident sarcopenia in hospitalized older people: A systematic review. PLoS One 2023; 18:e0289379. [PMID: 37531398 PMCID: PMC10395895 DOI: 10.1371/journal.pone.0289379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 07/18/2023] [Indexed: 08/04/2023] Open
Abstract
Hospitalization has been associated with the development of sarcopenia. This study aimed to examine the new incidences of hospital sarcopenia, associated risk factors and health outcomes, as defined by internationally recognized diagnostic criteria in hospitalized older people. Pre-defined search terms were run through five databases. Six studies that assessed sarcopenia on two separate time points during hospitalization on older inpatients were included. Prevalence of sarcopenia varied from 14.1% to 55% depending on diagnostic criteria and cut-off points used. New sarcopenia occurred between 12% to 38.7% patients following hospitalization. Risk factors were older age, longer duration of bed rest, lower baseline body mass index, cognitive impairment and activities of daily living disability. None of the studies reported health outcomes associated with newly developed sarcopenia in hospital.
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Affiliation(s)
- Safiyyah Nurnajah Wan
- Department of Medicine, Faculty of Medicine, Universiti Malaya, Wilayah Persekutuan Kuala Lumpur, Malaysia
| | - Chiann Ni Thiam
- Department of Medicine, Hospital Sultanah Bahiyah, Alor Setar, Kedah Darul Aman, Malaysia
| | - Qi Xuan Ang
- Department of Medicine, Faculty of Medicine, Universiti Malaya, Wilayah Persekutuan Kuala Lumpur, Malaysia
| | - Julia Engkasan
- Department of Rehabilitation Medicine, Universiti Malaya, Wilayah Persekutuan Kuala Lumpur, Malaysia
| | - Terence Ong
- Department of Medicine, Faculty of Medicine, Universiti Malaya, Wilayah Persekutuan Kuala Lumpur, Malaysia
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8
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Ge YZ, Fu ZM, Zhang Q, Song MM, Ruan GT, Zhang X, Zhang XW, Li XR, Zhang KP, Tang M, Liu XY, Yang M, Liu T, Xie HL, Zhang HY, Wang ZW, Hu CL, Lin SQ, Zhang R, Xu HX, Li W, Song CH, Liu M, Chen JQ, Wang KH, Bo L, Cong MH, Li ZN, Guo ZQ, Wang XB, Wang BY, Xu B, Qin XH, Xu XP, Barazzoni R, Yao QH, Weng M, Shen X, Shi HP. AIWW: a new nutrition-screening tool for the oncologic population. Sci China Life Sci 2023; 66:1831-1840. [PMID: 37121939 DOI: 10.1007/s11427-022-2292-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 02/09/2023] [Indexed: 05/02/2023]
Abstract
Malnutrition is a common comorbidity among patients with cancer. However, no nutrition-screening tool has been recognized in this population. A quick and easy screening tool for nutrition with high sensitivity and easy-to-use is needed. Based on the previous 25 nutrition-screening tools, the Delphi method was made by the members of the Chinese Society of Nutritional Oncology to choose the most useful item from each category. According to these results, we built a nutrition-screening tool named age, intake, weight, and walking (AIWW). Malnutrition was defined based on the scored patient-generated subjective global assessment (PG-SGA). Concurrent validity was evaluated using the Kendall tau coefficient and kappa consistency between the malnutrition risks of AIWW, nutritional risk screening 2002 (NRS-2002), and malnutrition screening tool (MST). Clinical benefit was calculated by the decision curve analysis (DCA), integrated discrimination improvement (IDI), and continuous net reclassification improvement (cNRI). A total of 11,360 patients (male, n=6,024 (53.0%) were included in the final study cohort, and 6,363 patients had malnutrition based on PG-SGA. Based on AIWW, NRS-2002, and MST, 7,545, 3,469, and 1,840 patients were at risk of malnutrition, respectively. The sensitivities of AIWW, NRS-2002, and MST risks were 0.910, 0.531, and 0.285, and the specificities were 0.768, 0.946, and 0.975. The Kendall tau coefficients of AIWW, NRS-2002, and MST risks were 0.588, 0.501, and 0.326, respectively. The area under the curve of AIWW, NRS-2002, and MST risks were 0.785, 0.739, and 0.630, respectively. The IDI, cNRI, and DCA showed that AIWW is non-inferior to NRS-2002 (IDI: 0.002 (-0.009, 0.013), cNRI: -0.015 (-0.049, 0.020)). AIWW scores can also predict the survival of patients with cancer. The missed diagnosis rates of AIWW, NRS-2002, and MST were 0.09%, 49.0%, and 73.2%, respectively. AIWW showed a better nutrition-screening effect than NRS-2002 and MST for patients with cancer and could be recommended as an alternative nutrition-screening tool for this population.
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Affiliation(s)
- Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Zhen-Ming Fu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Qi 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
- Department of Colorectal Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, 310022, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Xiang-Rui Li
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Tong Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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
| | - Rui Zhang
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Hong-Xia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, 450001, Zhengzhou, China
| | - Ming Liu
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, China
| | - Jun-Qiang Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Kun-Hua Wang
- Yunnan University, Kunming, 650091, China
- General Surgery Clinical Medical Center of Yunnan Province, Kunming, 650032, China
| | - Li Bo
- Affiliated Hospital of Yunnan University, Kunming, 650091, China
| | - Ming-Hua Cong
- Comprehensive Oncology Department, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 100021, China
| | - Zeng-Ning Li
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, China
| | - Zeng-Qin Guo
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
| | - Xiao-Bin Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, 21228, USA
| | - Bin-Yan Wang
- Shenzhen Evergreen Medical Institute, Shenzhen, 518052, China
| | - Benjamin Xu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Xian-Hui Qin
- National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Xi-Ping Xu
- National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100193, China
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, 34127, Italy
| | - Qing-Hua Yao
- Department of Integrated Chinese and Western Medicine, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, 310022, China
| | - Min Weng
- Department of Clinical Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, 650091, China
| | - Xian Shen
- Department of Gastrointestinal Surgery, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, 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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9
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Alves LF, de Jesus JDS, Britto VNM, de Jesus SA, Santos GS, de Oliveira CC. GLIM criteria to identify malnutrition in patients in hospital settings: A systematic review. JPEN J Parenter Enteral Nutr 2023; 47:702-709. [PMID: 37314206 DOI: 10.1002/jpen.2533] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 04/20/2023] [Accepted: 06/06/2023] [Indexed: 06/15/2023]
Abstract
Malnutrition is recognized as one of the main public health problems in hospitals. The Global Leadership Initiative on Malnutrition (GLIM) has established a global consensus on the criteria for diagnosing malnutrition in adults in hospital settings. This study aimed to evaluate the ability of the GLIM criteria as a tool to identify malnutrition in hospital settings and to compare the prevalence of malnutrition identified by GLIM criteria with that identified by other screening and/or nutrition assessment methods. This was a systematic review. Searches were performed using MEDLINE/PubMed, Scopus, and Virtual Health Library, based on established descriptors. The included studies were observational and used screening and/or nutrition assessment tools to compare the prevalence of malnutrition and predictive capacity identified by GLIM criteria in patients aged >18 years in hospital settings. Twelve studies were included in this systematic review. A total of 4066 individuals with different pathologies and clinical conditions participated in the included studies. The prevalence of malnutrition, according to the GLIM criteria, ranged from 16% to 80%. In four studies, the prevalence of malnutrition based on GLIM was higher than that based on the other indicators. Six studies that evaluated the predictive ability of GLIM criteria identified satisfactory sensitivity and specificity. Four studies found low to high agreement between GLIM and the other methods. GLIM criteria can identify malnutrition and find a high prevalence and severity of malnutrition in the hospital setting, proving them to be a sensitive and specific instrument, with good agreement between screening and nutrition assessment methods.
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Affiliation(s)
- Luana Ferreira Alves
- Graduate Program in Nutrition Sciences, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil
| | | | | | | | - Gabriel Silva Santos
- Department of Nutrition, Federal University of Sergipe, Lagarto, Sergipe, Brazil
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10
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Durán Poveda M, Suárez-de-la-Rica A, Cancer Minchot E, Ocón Bretón J, Sánchez Pernaute A, Rodríguez Caravaca G. The Prevalence and Impact of Nutritional Risk and Malnutrition in Gastrointestinal Surgical Oncology Patients: A Prospective, Observational, Multicenter, and Exploratory Study. Nutrients 2023; 15:3283. [PMID: 37513700 PMCID: PMC10385494 DOI: 10.3390/nu15143283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/19/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023] Open
Abstract
A prospective, observational, multicenter, and exploratory study was conducted in 469 gastrointestinal cancer patients undergoing elective surgery. The Malnutrition Universal Screening Tool (MUST) and the Global Leadership Initiative on Malnutrition (GLIM) criteria were used to assess nutritional risk. On admission, 17.9% and 21.1% of patients were at moderate (MUST score 1) and severe (MUST score ≥ 2) nutritional risk, respectively. The GLIM criteria used in patients with a MUST score ≥ 2 showed moderate malnutrition in 35.3% of patients and severe in 64.6%. Forty-seven percent of patients with a MUST score ≥ 2 on admission had the same score at discharge, and 20.7% with a MUST score 0 had moderate/severe risk at discharge. Small bowel, esophageal, and gastric cancer and diabetes were predictors of malnutrition on admission. Complications were significantly higher among patients with a MUST score 1 or ≥2 either on admission (p = 0.001) or at discharge (p < 0.0001). In patients who received nutritional therapy (n = 231), 43% continued to have moderate/severe nutritional risk on discharge, and 54% of those with MUST ≥ 2 on admission maintained this score at discharge. In gastrointestinal cancer patients undergoing elective surgery, there is an urgent need for improving nutritional risk screening before and after surgery, as well as improving nutritional therapy during hospitalization.
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Affiliation(s)
- Manuel Durán Poveda
- Department of General and Digestive Surgery, Hospital Universitario Rey Juan Carlos, 28933 Madrid, Spain
- Department of Medical Specialties and Public Health, Faculty of Health Sciences, Rey Juan Carlos University, 28933 Madrid, Spain
| | - Alejandro Suárez-de-la-Rica
- Department of Anesthesiology and Surgical Critical Care, Hospital Universitario La Princesa, 28006 Madrid, Spain
| | - Emilia Cancer Minchot
- Department of Endocrinology and Nutrition, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain
| | - Julia Ocón Bretón
- Department of Endocrinology and Nutrition, Hospital Universitario "Lozano Blesa", 50009 Zaragoza, Spain
| | - Andrés Sánchez Pernaute
- Department of General and Digestive Surgery, Hospital Clínico San Carlos, 28040 Madrid, Spain
| | - Gil Rodríguez Caravaca
- Department of Medical Specialties and Public Health, Faculty of Health Sciences, Rey Juan Carlos University, 28933 Madrid, Spain
- Department of Preventive Medicine, Hospital Universitario Fundación Alcorcón, 28922 Madrid, Spain
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11
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Lo Buglio A, Bellanti F, Capurso C, Vendemiale G. Controlling Nutritional Status (CONUT) Score as a Predictive Marker in Hospitalized Frail Elderly Patients. J Pers Med 2023; 13:1119. [PMID: 37511732 PMCID: PMC10381597 DOI: 10.3390/jpm13071119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/28/2023] [Accepted: 07/06/2023] [Indexed: 07/30/2023] Open
Abstract
The Controlling Nutritional Status (CONUT) score is a simple screening tool able to detect altered nutritional status as well as to predict clinical adverse outcomes in specific populations. No data are available in frail patients. This study aims to investigate the predictive role of the CONUT score on mortality and length of stay (LOS) in frail patients admitted to an Internal Medicine Department. We consecutively enrolled 246 patients aged 65 years or older, divided into two groups based on frailty status. The two groups were further divided according to low (<5) or high (≥5) CONUT score. Length of stay (LOS) was higher in frail patients than not-frail patients, as well as in the frail group with high CONUT scores compared to the frail group with low CONUT scores. Multiple linear regression showed an increase of 2.1 days for each additional point to the CONUT score. In-hospital mortality was higher in frail compared to not-frail patients, but it did not differ between frail patients with high CONUT scores and frail patients with low CONUT scores. An analysis of the survival curve for 30-day mortality showed a higher mortality rate for frail/high-CONUT-score patients as compared to the not-frail/low-CONUT-score group. The CONUT score shows high prognostic value for higher LOS-but not mortality-in the clinical setting of internal medicine departments for old frail patients.
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Affiliation(s)
- Aurelio Lo Buglio
- Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
| | - Francesco Bellanti
- Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
| | - Cristiano Capurso
- Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
| | - Gianluigi Vendemiale
- Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
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12
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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13
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Cervera-Díaz MDC, López-Gómez JJ, García-Virto V, Aguado-Hernández HJ, De Luis-Román DA. Prevalence of sarcopenia in patients older than 75 years admitted for hip fracture. ENDOCRINOL DIAB NUTR 2023:S2530-0180(23)00102-6. [PMID: 37301697 DOI: 10.1016/j.endien.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/11/2022] [Indexed: 06/12/2023]
Abstract
BACKGROUND Hip fracture in the population aged 75 years and older is one of the most disabling pathologies. Likewise, disease related malnutrition (DRM) and sarcopenia are two frequent diagnoses in this age group, whose prevalence may be increased in patients with hip fracture. AIMS To determine the prevalence of malnutrition and/or sarcopenia in patients admitted for hip fracture and evaluate the existence of malnutrition related to disease and sarcopenia, and the differences between the sarcopenic and non-sarcopenic group. METHODS 186 patients aged 75 years or over, hospitalised for hip fracture from March 2018 to June 2019 were included. Demographic, nutritional and biochemical variables were collected. Nutritional screening was carried out with the Mini-Nutritional Assessment (MNA), the presence of DRM was established with The Global Leadership Initiative on Malnutrition (GLIM) criteria. For sarcopenia screening, the Strength, Assistance with walking, Rising from a chair, Climbing stairs and Falls (SARC-F) was used and the diagnosis of sarcopenia was made using the criteria from the European Working Group on Sarcopenia in Older People (EWGSOP) reviewed in 2019 (EWGSOP2). Muscle strength was determined by hand-grip strength, body composition by measurement of bioelectrical impedance. RESULTS The mean age was 86.2 years, most of the patients were women (81.7%). 37.1% of patients were at nutritional risk (MNA 17-23.5) and 16.7% were malnourished (MNA < 17). 72.4% of women and 79.4% of men, were diagnosed with DRM. 77.6% of the women and 73.5% of the men had low muscle strength. The appendicular muscle mass index was below the cut-off points for sarcopenia in 72.4% of the women and 79.4% of the men. Patients with sarcopenia had a lower body mass index, older age, poorer previous functional status and higher disease burden. The relationship between weight loss and hand grip strength (HGS) was significant (p = 0.007). CONCLUSIONS 53.8% of patients admitted for hip fracture present malnutrition or are at risk after screening with MNA. Sarcopenia and DRM affects at least three out of four patients older than 75 years admitted for hip fracture. Older age, worse functional status, lower body mass index and high number of comorbidities, are associated with these two entities. There is a relationship between DRM and sarcopenia.
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Affiliation(s)
| | - Juan José López-Gómez
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | - Virginia García-Virto
- Servicio de Traumatología y Ortopedia, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
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14
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Aloy Dos Santos T, Luft VC, Souza GC, de Albuquerque Santos Z, Keller Jochims AM, Carnevale de Almeida J. Malnutrition screening tool and malnutrition universal screening tool as a predictors of prolonged hospital stay and hospital mortality: A cohort study. Clin Nutr ESPEN 2023; 54:430-435. [PMID: 36963890 DOI: 10.1016/j.clnesp.2023.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 01/25/2023] [Accepted: 02/07/2023] [Indexed: 02/13/2023]
Abstract
BACKGROUND & AIMS Different nutrition screening tools have been proposed to screen inpatients, although, there is still no consensus regarding the reference method for identifying patients at nutritional risk. This retrospective cohort study aimed to evaluate the concurrent and predictive validity of the Malnutrition Screening Tool (MST) and Malnutrition Universal Screening Tool (MUST) to identify inpatients at nutritional risk. METHODS Data from electronic medical records were collected from adult and elderly inpatients in wards of a public tertiary hospital (Hospital de Clínicas de Porto Alegre, Brazil) over one year. Only the first nutritional evaluation was considered for each patient. GLIM criteria was used for malnutrition status (concurrent validity) and hospital stay length and mortality were outcomes to predictive validity. RESULTS A total of 5270 patients were included in this study. The mean patient age was 59 ± 16 years old, and 50.7% were males. More than 60% of the patients (65.8%) were admitted to a surgical unit, 63.8% had mild disease-related metabolic stress, 50.7% experienced prolonged hospital stays (more than ten days), and 1.9% of the patients died. Considering the availability of nutritional data, it was possible to perform nutritional screening of 98.1% of patients by MST and 96.7% of patients by MUST. A higher proportion of patients at risk were identified by MUST (53.6%) as compared to MST (21.3%; P < 0.001). MST had 89.9% of Specificity, 60.4% of PPV, 94.6% of NPV, and a moderate agreement with malnutrition by GLIM criteria (κ = 0.591; P < 0.001). A prolonged hospital stay was positively associated with the classification of nutritional risk based on both screening tools. Death was positively associated with nutritional risk by MST (hazard ratio [HR] 2.09; 95% confidence interval [CI] 1.37-3.16) and by MUST (HR 1.79; 95% CI 1.00-3.18) after adjustment based on sex, age, admission type (surgical or clinical), and disease-related metabolic stress. CONCLUSIONS MST may be good concurrent validity to malnutrition by GLIM criteria as compared to MUST. However, both risk nutritional tools were positively associated with predicting a prolonged hospital stay and mortality.
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Affiliation(s)
- Tainara Aloy Dos Santos
- Programa de Pós-graduação em Ciências Médicas: Endocrinologia, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Brazil
| | - Vivian Cristine Luft
- Departamento de Nutrição, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil; Serviço de Nutrição, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil; Centro de Estudos em Alimentação e Nutrição, CESAN HCPA/UFRGS, Porto Alegre, Rio Grande do Sul, Brazil; Programa de Pós graduação em Alimentação, Nutrição e Saúde, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Brazil
| | - Gabriela Correa Souza
- Departamento de Nutrição, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil; Serviço de Nutrição, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil; Centro de Estudos em Alimentação e Nutrição, CESAN HCPA/UFRGS, Porto Alegre, Rio Grande do Sul, Brazil; Programa de Pós graduação em Alimentação, Nutrição e Saúde, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Brazil
| | - Zilda de Albuquerque Santos
- Departamento de Nutrição, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil; Serviço de Nutrição, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil; Centro de Estudos em Alimentação e Nutrição, CESAN HCPA/UFRGS, Porto Alegre, Rio Grande do Sul, Brazil
| | - Ana Maria Keller Jochims
- Serviço de Nutrição, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil; Centro de Estudos em Alimentação e Nutrição, CESAN HCPA/UFRGS, Porto Alegre, Rio Grande do Sul, Brazil
| | - Jussara Carnevale de Almeida
- Programa de Pós-graduação em Ciências Médicas: Endocrinologia, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Brazil; Departamento de Nutrição, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil; Serviço de Nutrição, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil; Centro de Estudos em Alimentação e Nutrição, CESAN HCPA/UFRGS, Porto Alegre, Rio Grande do Sul, Brazil; Programa de Pós graduação em Alimentação, Nutrição e Saúde, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Brazil.
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Pradelli L, Zaniolo O, Sanfilippo A, Lezo A, Riso S, Zanetti M. Prevalence and economic cost of malnutrition in Italy: A systematic review and metanalysis from the Italian Society of Artificial Nutrition and Metabolism (SINPE). Nutrition 2023; 108:111943. [PMID: 36669368 DOI: 10.1016/j.nut.2022.111943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 11/14/2022] [Accepted: 12/08/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Disease-related malnutrition (DRM) is a major public health issue with dramatic consequences on outcomes. However, in Italy a comprehensive and updated overview on national prevalence, in both the adult and pediatric populations, and its burden on the health care environment, is missing. The aim of this systematic literature review and meta-analysis was to identify and summarize the available evidence regarding the prevalence of DRM in Italy from pediatric to adult and older ages, and to project its global costs on the health care system. METHODS We performed a systematic literature search for articles on epidemiology of DRM in Italy published up to June 2021. Studies reporting data on the prevalence of DRM in community-dwelling individuals with chronic diseases, nursing home patients, and hospitalized patients (medical, surgery, and oncology patients), were selected for inclusion. Methodological quality of the studies was assessed by two independent reviewers using published criteria. An epidemiologic meta-analysis to obtain an aggregate estimate of prevalence of DRM was performed and a model for estimating the cost of illness, based on the application of epidemiologic results to official national hospitalization data, and attribution of relevant unit costs in the national context was constructed. RESULTS Sixty-seven studies reporting on the prevalence of DRM in Italian populations were included in the final selection; meta-analytical pooling yields mean prevalence estimates of about 50% and 30% in adult and pediatric hospitalized populations, respectively, with even higher findings for residents of long-term care facilities. Modeled projections of DRM-attributable yearly economic effects on the Italian health care system exceed 10 billion € in base case analysis, with the most optimistic estimate still exceeding 2.5 billion €. CONCLUSION Although comparable in magnitude to data from previous studies in analogous international settings, the diffusion and effects of DRM in the Italian setting is impressive. Increased awareness of these data and proactive fostering of clinical nutrition services are warranted, as prompt identification and treatment of malnutrition have been shown to effectively improve clinical and economic results.
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Affiliation(s)
| | | | | | - Antonella Lezo
- Clinical Nutrition Unit, Children's Hospital "Regina Margherita," AOU Città della Salute e della Scienza, Turin, Italy
| | - Sergio Riso
- Clinical Nutrition and Dietetic Unit - "Maggiore della Carità" University Hospital, Novara, Italy
| | - Michela Zanetti
- Department of Medical, Surgical and Health Sciences, University of Trieste, Italy
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16
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Stephenson SS, Guligowska A, Cieślak-Skubel A, Wójcik A, Kravchenko G, Kostka T, Sołtysik BK. The Relationship between Nutritional Risk and the Most Common Chronic Diseases in Hospitalized Geriatric Population from Central Poland. Nutrients 2023; 15:nu15071612. [PMID: 37049453 PMCID: PMC10096810 DOI: 10.3390/nu15071612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/21/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
Abstract
The aim of this study was to assess the relationship between Nutrition Risk Screening 2002 (NRS-2002) and the prevalence of concomitant chronic diseases among hospitalized older adults. This study included 2122 consecutively hospitalized older participants with an average age of 82 years. The criteria to participate were the ability to communicate and give consent. In multivariate design, the prevalence of nutritional risk with at least 3 points in the NRS-2002 score was associated with the presence of stroke, atrial fibrillation, dementia and pressure ulcers. Patients with arterial hypertension, lipid disorders, osteoarthritis and urine incontinence had a significantly lower (better) NRS-2002 score. The explanation of the inverse relationship between some disorders and nutritional risk may be their occurrence in relatively earlier age and the relationship with body mass index. In conclusion, the study revealed which medical conditions coexist with the increased nutritional risk in a “real-world” hospitalized geriatric population. The hospital admission of an older subject with stroke, atrial fibrillation, dementia or pressure ulcers should primarily draw attention to the nutritional risk of the patient.
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Ouaijan K, Hwalla N, Kandala NB, Mpinga EK. Prevalence of Malnutrition in Hospitalized Patients in Lebanon Using Nutrition Risk Screening (NRS-2002) and Global Leadership Initiative on Malnutrition (GLIM) Criteria and Its Association with Length of Stay. Healthcare (Basel) 2023; 11:healthcare11050730. [PMID: 36900735 PMCID: PMC10000444 DOI: 10.3390/healthcare11050730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
(1) Background: Prevalence studies on hospital malnutrition are still scarce in the Middle East region despite recent global recognition of clinical malnutrition as a healthcare priority. The aim of this study is to measure the prevalence of malnutrition in adult hospitalized patients in Lebanon using the newly developed Global Leadership Initiative on Malnutrition tool (GLIM), and explore the association between malnutrition and the length of hospital stay (LOS) as a clinical outcome. (2) Methods: A representative cross-sectional sample of hospitalized patients was selected from a random sample of hospitals in the five districts in Lebanon. Malnutrition was screened and assessed using the Nutrition Risk Screening tool (NRS-2002) and GLIM criteria. Mid-upper arm muscle circumference (MUAC) and handgrip strength were used to measure and assess muscle mass. Length of stay was recorded upon discharge. (3) Results: A total of 343 adult patients were enrolled in this study. The prevalence of malnutrition risk according to NRS-2002 was 31.2%, and the prevalence of malnutrition according to the GLIM criteria was 35.6%. The most frequent malnutrition-associated criteria were weight loss and low food intake. Malnourished patients had a significantly longer LOS compared to patients with adequate nutritional status (11 days versus 4 days). Handgrip strength and MUAC measurements were negatively correlated with the length of hospital stay. (4) Conclusion and recommendations: the study documented the valid and practical use of GLIM for assessing the prevalence and magnitude of malnutrition in hospitalized patients in Lebanon, and highlighted the need for evidence-based interventions to address the underlying causes of malnutrition in Lebanese hospitals.
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Affiliation(s)
- Krystel Ouaijan
- Department of Clinical Nutrition, Saint George Hospital University Medical Center, Beirut 11002807, Lebanon
- Institute of Global Health, University of Geneva, 1211 Geneva, Switzerland
| | - Nahla Hwalla
- Department of Nutrition and Food Sciences, American University of Beirut, Beirut 11072020, Lebanon
| | - Ngianga-Bakwin Kandala
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada
- Division of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg 2000, South Africa
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Singhal S, Marwell JG, Khaki AR. Geriatric assessment in the older adult with genitourinary cancer: A narrative review. Front Oncol 2023; 13:1124309. [PMID: 36816955 PMCID: PMC9932692 DOI: 10.3389/fonc.2023.1124309] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/17/2023] [Indexed: 02/05/2023] Open
Abstract
Genitourinary (GU) cancers including bladder, prostate, and kidney cancers affect older adults with a higher prevalence compared to younger adults. GU cancer treatment is associated with poorer outcomes in older adults compared to their younger counterparts. To better identify and support older adults receiving cancer care, oncologic societies recommend the use of a geriatric assessment (GA) to guide management. However, little is known about the implementation and usefulness of the GA in older adults with GU cancers. We performed a narrative review to investigate the utility of the GA in older adults with GU cancers and propose strategies to optimize the real-world use of the GA. Here, we describe a framework to incorporate GA into the routine cancer care of older adults with GU cancers and provide several implications for future research.
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Affiliation(s)
- Surbhi Singhal
- Division of Medical Oncology, Department of Medicine, Stanford University, Stanford, CA, United States,*Correspondence: Surbhi Singhal,
| | - Julianna G. Marwell
- Section of Geriatric Medicine, Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, United States
| | - Ali Raza Khaki
- Division of Medical Oncology, Department of Medicine, Stanford University, Stanford, CA, United States
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Kutnik P, Wichowska O, Sysiak-Sławecka J, Szczukocka M, Rypulak E, Piwowarczyk P, Borys M, Czuczwar M. Malnutrition risk in elective surgery patients and effectiveness of preoperative nutritional interventions at a pre-anaesthetic clinic: a 4-year apart, single-centre, observational study. Anaesthesiol Intensive Ther 2023; 55:179-185. [PMID: 37728445 PMCID: PMC10496095 DOI: 10.5114/ait.2023.130632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/27/2023] [Indexed: 09/21/2023] Open
Abstract
INTRODUCTION Approximately 44% of all patients hospitalised for an elective surgical procedure have a malnutrition risk. In this study, we assessed the prevalence of malnutrition risk at a pre-anaesthetic clinic and the feasibility of introducing nutritional support. The primary objective of this study was to assess malnutrition risk prevalence in patients referred to a pre-anaesthetic clinic. MATERIAL AND METHODS This was a prospective observational study. The study was divided into two phases: one in 2020 and the other in 2023. Consecutive patients scheduled for an elective surgical procedure at a pre-anaesthetic clinic were asked to participate in the study by filling out the questionnaire. We divided the patients into two groups based on the GLIM criteria. RESULTS We included a total of 467 patients, including 214 from 2020 and 253 from 2023. In the total sample, 93 (19.9%) patients met the GLIM criteria for malnutrition risk, and 37 (7.9 %) fulfilled the ESPEN criteria for preoperative nutritional support. Out of 93 patients at malnutrition risk, 41 (44%) had BMI > 25 kg m -2 . The number of patients with indications for preoperative nutritional support in all departments remained similar across both time points. However, the number of patients receiving preoperative ONS almost doubled over the study period (36.8% in 2020 vs. 72.2% in 2023). CONCLUSIONS Malnutrition risk was consistently high among our elective surgery patients. Not all patients with indications for preoperative nutritional support received it. As such, pre-anaesthetic clinics might be one of the major links in the nutritional programme chains of hospitals.
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Affiliation(s)
- Paweł Kutnik
- II Department of Anaesthesiology and Intensive Care, Medical University of Lublin, Lublin, Poland
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Trollebø MA, Skeie E, Revheim I, Stangeland H, Erstein MH, Grønning MK, Tangvik RJ, Morken MH, Nygård O, Eagan TML, Rosendahl-Riise H, Dierkes J. Comparison of nutritional risk screening with NRS2002 and the GLIM diagnostic criteria for malnutrition in hospitalized patients. Sci Rep 2022; 12:19743. [PMID: 36396666 DOI: 10.1038/s41598-022-23878-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 11/07/2022] [Indexed: 11/19/2022] Open
Abstract
Nutritional risk screening, to identify patients at risk of malnutrition, is the first step in the prevention and treatment of malnutrition in hospitalized patients, and should be followed by a thorough nutritional assessment resulting in a diagnosis of malnutrition and subsequent treatment. In 2019, a consensus on criteria has been suggested for the diagnosis of malnutrition by the Global Leadership Initiative for Malnutrition (GLIM). This study investigates the diagnosis of malnutrition in hospitalized patients using nutritional risk screening and the diagnostic assessment suggested by GLIM. Hospitalized patients (excluding cancer, intensive care, and transmissible infections) who underwent nutritional risk screening (by NRS2002) were included. Nutritional risk screening was followed by anthropometric measurements including measurement of muscle mass, assessment of dietary intake and measurement of serum C-reactive protein (CRP) for inflammation in all patients. Malnutrition was diagnosed according to the GLIM-criteria. In total, 328 patients (median age 71 years, 47% women, median length of stay 7 days) were included. Nutritional risk screening identified 143 patients as at risk of malnutrition, while GLIM criteria led to a diagnosis of malnutrition in 114 patients. Of these 114 patients, 77 were also identified as at risk of malnutrition by NRS2002, while 37 patients were not identified by NRS2002. Malnutrition was evident in fewer patients than at risk of malnutrition, as expected. However, a number of patients were malnourished who were not identified by the screening procedure. More studies should investigate the importance of inflammation and reduced muscle mass, which is the main difference between nutritional risk screening and GLIM diagnostic assessment.
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21
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Kokura Y, Momosaki R. Prevalence of Malnutrition Assessed by the GLIM Criteria and Association with Activities of Daily Living in Older Residents in an Integrated Facility for Medical and Long-Term Care. Nutrients 2022; 14. [PMID: 36079911 DOI: 10.3390/nu14173656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 08/31/2022] [Accepted: 09/02/2022] [Indexed: 11/18/2022] Open
Abstract
Malnutrition is associated with poor functional outcomes in residents in long-term care facilities. The integrated facility for medical and long-term care (IFMLC) is a new Japanese long-term care facility where medical services can be provided. This study aimed to investigate the prevalence of malnutrition diagnosed based on the Global Leadership Initiative on Malnutrition (GLIM) criteria and its association with activities of daily living (ADL) in older residents in IFMLC. In this cross-sectional study of older residents, we diagnosed mild and severe malnutrition using the GLIM criteria and assessed ADLs using the Barthel index (BI). Multivariate regression analysis was used to investigate the relationship between BI score and GLIM-defined malnutrition. A total of 117 older residents (84 women; median age, 88 years) were analyzed in this study. The prevalence values of mild and severe malnutrition were 29% and 18%, respectively. Multivariate analyses for the BI score after adjusting for potential confounders showed that mild and severe malnutrition were independently associated with BI score (B = −6.113, p < 0.046; B = −8.411, p = 0.015, respectively). GLIM-defined malnutrition is negatively associated with ADLs in older residents in IFMLC.
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Corriveau J, Alavifard D, Gillis C. Demystifying Malnutrition to Improve Nutrition Screening and Assessment in Oncology. Semin Oncol Nurs 2022; 38:151336. [PMID: 35995630 DOI: 10.1016/j.soncn.2022.151336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Patients with cancer and malnutrition are more likely to experience poor treatment tolerance, prolonged length of hospital stay, and decreased quality of life. Early and sustained nutrition risk screening is the first step to tackling this patient and health care burden. Yet, malnutrition remains largely overlooked and undertreated. Malnutrition mismanagement could be indicative of a systemic misunderstanding. With this narrative review, we aimed to (1) define malnutrition, (2) address common malnutrition misconceptions, and (3) summarize nutrition recommendations for patients with cancer. DATA SOURCES PubMed and international clinical practice guidelines were used. CONCLUSION Malnutrition represents an unbalanced nutritional state that alters body composition and diminishes function. Malnutrition is not always physically obvious, and albumin is not a reliable marker of nutritional status; therefore, systematically screening all patients with a validated nutrition risk screening tool at time of cancer diagnosis, and periodically throughout treatment, is necessary to provide optimal, equitable care. Nutrition risk screening takes less than 1 minute to complete and can be completed by any health care professional. Patients that screen positive for nutrition risk should be referred to a registered nutritionist or dietitian for comprehensive nutritional assessment, diagnosis, and treatment. IMPLICATIONS FOR NURSING PRACTICE All health care professionals can and should be responsible for preventing and treating malnutrition. Registered nurses can actively participate in improving patient outcomes by screening patients for nutrition risk, weighing patients at every visit, referring patients to dietitians for nutrition treatment, and providing supportive medical management of nutrition impact symptoms such as nausea.
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Affiliation(s)
- Jade Corriveau
- Department of Nutrition, McGill University Health Centre, Montreal, QC, Canada
| | - Dorsa Alavifard
- Department of Anesthesia, McGill University, Montreal, QC, Canada
| | - Chelsia Gillis
- Department of Anesthesia, McGill University, Montreal, QC, Canada; Department of Surgery, McGill University, Montreal, QC, Canada; School of Human Nutrition, McGill University, McGill University, Montreal, QC, Canada.
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Cervera-Díaz MDC, López-Gómez JJ, García-Virto V, Aguado-Hernández HJ, De Luis-Román DA. Prevalencia de sarcopenia en pacientes mayores de 75 años ingresados por fractura de cadera. ENDOCRINOL DIAB NUTR 2022. [DOI: 10.1016/j.endinu.2022.03.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Serón-Arbeloa C, Labarta-Monzón L, Puzo-Foncillas J, Mallor-Bonet T, Lafita-López A, Bueno-Vidales N, Montoro-Huguet M. Malnutrition Screening and Assessment. Nutrients 2022; 14:2392. [PMID: 35745121 DOI: 10.3390/nu14122392] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/01/2022] [Accepted: 06/06/2022] [Indexed: 01/04/2023] Open
Abstract
Malnutrition is a serious problem with a negative impact on the quality of life and the evolution of patients, contributing to an increase in morbidity, length of hospital stay, mortality, and health spending. Early identification is fundamental to implement the necessary therapeutic actions, involving adequate nutritional support to prevent or reverse malnutrition. This review presents two complementary methods of fighting malnutrition: nutritional screening and nutritional assessment. Nutritional risk screening is conducted using simple, quick-to-perform tools, and is the first line of action in detecting at-risk patients. It should be implemented systematically and periodically on admission to hospital or residential care, as well as on an outpatient basis for patients with chronic conditions. Once patients with a nutritional risk are detected, they should undergo a more detailed nutritional assessment to identify and quantify the type and degree of malnutrition. This should include health history and clinical examination, dietary history, anthropometric measurements, evaluation of the degree of aggression determined by the disease, functional assessment, and, whenever possible, some method of measuring body composition.
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Dos Santos HAV, Leandro-Merhi VA. Can the Nutritional Risk Screening (NRS-2002) predict unfavorable clinical outcome in hospitalized elderly patients? Aging Clin Exp Res 2022; 34:1165-1169. [PMID: 34993907 DOI: 10.1007/s40520-021-02032-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 11/14/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND The prevalence of malnutrition in hospitalized elderly patients (HEP) is high. OBJECTIVE To investigate the behavior of several nutritional indicators and predictors of unfavorable clinical outcome. METHODS Retrospective study with hospitalized elderly patients (N = 322). Nutritional instruments, indicators and outcome were investigated. Chi-square, Fisher and Mann-Whitney tests and univariate and multiple logistic regression analysis were used. RESULTS The variables that, jointly, were associated with hospital stay longer than 7 days, include: the presence of complications (p = 0.0328; OR 1.946; IC95% 1.056; 3.585) and nutritional risk according to the NRS-2002 (p = 0.0016; OR 2.080; IC95% 1.322; 3.275). The variable that remained associated with complications in the multiple model was the nutritional risk according to the NRS-2002 (p = 0.0018; OR 2.587; IC95% 1.423; 4.703). CONCLUSION Nutritional risk using the NRS-2002 is a predictor of clinical outcome in hospitalized elderly patients.
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Affiliation(s)
| | - Vânia Aparecida Leandro-Merhi
- Center for Life Sciences, Postgraduate Program in Health Sciences, Pontifical Catholic University of Campinas (PUC Campinas), Av. John Boyd Dunlop, s/n-Jardim Ipaussurama, Campinas, SP, 13034-685, Brazil.
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Bellanti F, lo Buglio A, Quiete S, Vendemiale G. Malnutrition in Hospitalized Old Patients: Screening and Diagnosis, Clinical Outcomes, and Management. Nutrients 2022; 14:nu14040910. [PMID: 35215559 PMCID: PMC8880030 DOI: 10.3390/nu14040910] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 02/18/2022] [Accepted: 02/19/2022] [Indexed: 02/05/2023] Open
Abstract
Malnutrition in hospitalized patients heavily affects several clinical outcomes. The prevalence of malnutrition increases with age, comorbidities, and intensity of care in up to 90% of old populations. However, malnutrition frequently remains underdiagnosed and undertreated in the hospital. Thus, an accurate screening to identify patients at risk of malnutrition or malnourishment is determinant to elaborate a personal nutritional intervention. Several definitions of malnutrition were proposed in the last years, affecting the real frequency of nutritional disorders and the timing of intervention. Diagnosis of malnutrition needs a complete nutritional assessment, which is often challenging to perform during a hospital stay. For this purpose, various screening tools were proposed, allowing patients to be stratified according to the risk of malnutrition. The present review aims to summarize the actual evidence in terms of diagnosis, association with clinical outcomes, and management of malnutrition in a hospital setting.
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El Chaar D, Mattar L, Fakih El Khoury C. AND/ASPEN and the GLIM Malnutrition Diagnostic Criteria have a High Degree of Criterion Validity and Reliability for the Identification of Malnutrition in a Hospital Setting: A Single-Center Prospective Study. JPEN J Parenter Enteral Nutr 2022; 46:1061-1070. [PMID: 35147234 DOI: 10.1002/jpen.2347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 01/14/2022] [Accepted: 02/07/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Multiple malnutrition diagnostic tools are available in clinical practice yet evidence on their validity and reliability is limited. We aim to assess and compare the validity and reliability of the different combinations of indicators of the three diagnostic tools most used compared to two validated malnutrition screening tools. METHODS Nutritional risk screening was evaluated using the Mini-Nutritional Assessment Short Form (MNA-SF) and Nutrition Risk Screening-2002 (NRS-2002), and nutritional assessment was conducted using different combinations of the Academy of Nutrition and Dietetics/American Society of Parenteral and Enteral Nutrition (AND/ASPEN), The European Society of Clinical Nutrition and Metabolism (ESPEN), and Global Leadership Initiative on Malnutrition (GLIM). Concurrent criterion validity and inter-rater reliability of the overall and the different combinations of indicators in the diagnostic tools were evaluated and compared. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Cohen's kappa (ĸ) were calculated to determine tool validity and reliability. RESULTS AND/ASPEN [132(22.8%)] combination and GLIM-1 [133(23.0%)] (weight loss + compromised food intake) predicted the highest number of malnourished patients and reported a high degree of concurrent criterion validity, agreement, and reliability. On the contrary, overall ESPEN (using any combination) and GLIM-2 (reduced Body Mass Index-BMI + compromised food intake) reported only moderate criterion validity and low agreement and reliability. CONCLUSION Different combinations of diagnostic criteria led to varying validity and reliability, with the lowest validation results rising from the combinations of indicators using BMI as a criterion for malnutrition diagnosis. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Dayana El Chaar
- School of Arts and Sciences, Department of Natural Sciences, Lebanese American University
| | - Lama Mattar
- School of Arts and Sciences, Department of Natural Sciences, Lebanese American University
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Cruz PLM, Soares BLDM, da Silva JE, Lima E Silva RRD. Clinical and nutritional predictors of hospital readmission within 30 days. Eur J Clin Nutr 2022; 76:244-250. [PMID: 34040200 DOI: 10.1038/s41430-021-00937-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 04/10/2021] [Accepted: 04/29/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND/OBJECTIVES Identify clinical, sociodemographic, and nutritional predictors of hospital readmission within 30 days. SUBJECTS/METHODS A longitudinal study was conducted with patients hospitalised at a public institution in Recife, Brazil. Sociodemographic (age, sex, race, and place of residence), clinical (diagnosis, comorbidities, medications, polypharmacy, hospital outcome, hospital stay, and occurrence of readmission within 30 days), and nutritional (% of weight loss, body mass index, arm circumference [AC], and calf circumference [CC]) characteristics were collected from the nutritional assessment files and patient charts. Nutritional risk was determined using the 2002 Nutritional Risk Screening tool and the diagnosis of malnutrition was based on the GLIM criteria. RESULTS The sample was composed of 252 patients, 58 (23.0%; CI95%: 17.2-28.8%) of whom were readmitted within 30 days after discharge from hospital, 135 (53.5%; CI95%: 46.7-60.5%) were at nutritional risk and 107 (42.4%; CI95%: 35.6-49.3%) were malnourished. In the bivariate analysis, polypharmacy, nutritional risk, malnutrition, low AC, and low CC were associated with readmission. In the multivariate analysis, low CC was considered an independent risk factor, increasing the likelihood of hospital readmission nearly fourfold. In contrast, the absence of polypharmacy was a protective favour, reducing the likelihood of readmission by 81%. CONCLUSIONS The use of six medications or more and low calf circumference are risk factors for hospital readmission within 30 days after discharge.
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Affiliation(s)
- Paula Luiza Menezes Cruz
- Posgraduate Program in Clinical Nutrition - Institute of Biological Sciences/University of Pernambuco, Recife-PE, Brazil.
| | - Bruna Lúcia de Mendonça Soares
- Posgraduate Program in Nutrition - Federal University of Pernambuco, Recife-PE, Brazil.,Hospital da Restauração Governador Paulo Guerra, Recife-PE, Brazil
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Kaluźniak-Szymanowska A, Krzymińska-Siemaszko R, Wieczorowska-Tobis K, Deskur-Śmielecka E. Optimal Assessment of Nutritional Status in Older Subjects with the Chronic Obstructive Pulmonary Disease-A Comparison of Three Screening Tools Used in the GLIM Diagnostic Algorithm. Int J Environ Res Public Health 2022; 19:ijerph19031025. [PMID: 35162048 PMCID: PMC8834573 DOI: 10.3390/ijerph19031025] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/10/2022] [Accepted: 01/15/2022] [Indexed: 02/01/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) is a recognized risk factor for malnutrition. The European Respiratory Society (ERS) statement included nutritional status assessment and dietary intervention as essential components of comprehensive management in subjects with COPD. According to the GLIM algorithm, the first step in diagnosing malnutrition is risk screening with a validated tool. Our study aimed to assess the diagnostic performance of three screening tools (MNA-SF, MUST, and NRS-2002) used in the GLIM algorithm in older patients with COPD. Additionally, we evaluated the agreement between these tools in the diagnostics of malnutrition. We performed a cross-sectional study of 124 patients aged at least 60 years with COPD diagnosed, based on the Global Initiative for Chronic Obstructive Lung Disease (GOLD). We assessed the participants’ nutritional status with the three examined screening questionnaires (MNA-SF, MUST, and NRS-2002). Regardless of their results, we performed full malnutrition diagnostics following the GLIM algorithm in all subjects. The proportion of malnourished participants varied from 18.5% for the MUST questionnaire to 27.4% for the MNA-SF and 57.3% for the NRS-2002 score. Based on the GLIM criteria, malnutrition was diagnosed in 48 subjects (38.7%). All assessed questionnaires had an unsatisfactory sensitivity against the GLIM criteria for malnutrition: it was fair (58.3%) for the MNA-SF tool and poor for the MUST and NRS-2002 questionnaires (47.9% for both questionnaires). Considering the negative health consequences of malnutrition, a full diagnostic including GLIM etiologic and phenotypic criteria should be recommended in all elderly patients with COPD, regardless of the screening results.
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SOUZA FGD, MARIN FA, SILVA WRD, SPEXOTO MCB. Accuracy of the Global Leadership Initiative on Malnutrition to identify malnutrition in hospitalized patients. REV NUTR 2022. [DOI: 10.1590/1678-9865202235e220048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
ABSTRACT Objective: The Global Leadership Initiative on Malnutrition, introduced as a useful method in the diagnosis of malnutrition, is supported by little evidence in hospitalized individuals. Therefore, we reviewed this method with two objectives: 1) to compare the diagnostic accuracy of the Global Leadership Initiative on Malnutrition criteria with the Patient-Generated Subjective Global Assessment; 2) to determine the prevalence of malnutrition and its associated factors. Methods: Cross-sectional study, conducted with individuals hospitalized between April 2019 and July 2021. Sociodemographic, clinical and anthropometric information was investigated. Global Leadership Initiative on Malnutrition was the index test and Patient-Generated Subjective Global Assessment the standard reference to assess malnutrition. For diagnostic accuracy, measurements of sensitivity, specificity, area under the curve and kappa agreement were considered. Results: A total of 105 individuals participated (age 65.9±9.9 years). The prevalence of malnutrition in the total sample was 48.6% and 67.6% according to the Global Leadership Initiative on Malnutrition and Patient-Generated Subjective Global Assessment criteria, respectively. An association was observed between malnutrition and the variables that stand behind hospitalization, metabolic stress and anthropometric indicators (p<0.05). The comparison showed sensitivity and specificity values for the Global Leadership Initiative on Malnutrition criteria of 67.6% (95% CI: 56.1-77.3) and 91.2% (95% CI: 77.0-96.9) (total sample) and 71.7% (95% CI: 58.4-82.0) and 95.5% (95% CI: 78.2-99.2) (elderly), respectively. An agreement of 49% was observed, raising to 55% when the elderly were assessed separately. Conclusion: The Global Leadership Initiative on Malnutrition criteria presented adequate sensitivity conditions and specificity to diagnose malnutrition, moderate agreement with the reference standard and good applicability in hospitalized patients’ clinical practice. Prevalence of malnutrition was high, regardless of the method used, and was associated with the reason for hospitalization, metabolic stress and anthropometric indicators.
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Shimizu A, Fujishima I, Maeda K, Murotani K, Inoue T, Ohno T, Nomoto A, Ueshima J, Ishida Y, Nagano A, Kayashita J, Mori N. Accuracy of the Simplified Nutritional Appetite Questionnaire for Malnutrition and Sarcopenia Screening among Older Patients Requiring Rehabilitation. Nutrients 2021; 13:2738. [PMID: 34444898 DOI: 10.3390/nu13082738] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 07/17/2021] [Accepted: 08/05/2021] [Indexed: 11/22/2022] Open
Abstract
This cross-sectional study aimed to examine the accuracy of the Simplified Nutritional Appetite Questionnaire (SNAQ) and the SNAQ for Japanese Elderly (SNAQ-JE) for the Global Leadership Initiative on Malnutrition (GLIM)-defined malnutrition and sarcopenia screening in older persons. We included 380 inpatients aged ≥65 years (mean age, 79.3 ± 7.9; 60.0% women) and admitted to rehabilitation units. Undernutrition and sarcopenia were diagnosed based on GLIM criteria and the Asian Working Group for Sarcopenia, respectively, using bioimpedance analysis. Poor appetite was defined as an SNAQ score of <14 points and an SNAQ-JE score of ≤14 points. The sensitivity, specificity, and accuracy of these tools for detecting poor appetite for GLIM-defined malnutrition and sarcopenia were assessed. The rates of GLIM-defined malnutrition and sarcopenia were 56.8% and 59.2%, respectively. The number of patients with poor appetite was 94 (24.7%) for the SNAQ and 234 (61.6%) for the SNAQ-JE. The sensitivity and specificity of the SNAQ measured against GLIM-defined malnutrition were 32.9% and 73.1%, respectively, and against sarcopenia were 29.8% and 70.2%, respectively. The sensitivity and specificity of the SNAQ-JE measured against GLIM-defined malnutrition were 82.6% and 51.0%, respectively, and against sarcopenia were 86.0% and 53.7%, respectively. The SNAQ-JE showed fair accuracy for GLIM-defined malnutrition and sarcopenia in older patients admitted to rehabilitation units.
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Wang P, Chen X, Liu Q, Liu X, Li Y. Good performance of the Global Leadership Initiative on Malnutrition criteria for diagnosing and classifying malnutrition in people with esophageal cancer undergoing esophagectomy. Nutrition 2021; 91-92:111420. [PMID: 34399403 DOI: 10.1016/j.nut.2021.111420] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 07/09/2021] [Accepted: 07/13/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVES This study aimed to investigate the performance of the Global Leadership Initiative on Malnutrition (GLIM) criteria for malnutrition assessment in people with esophageal cancer undergoing esophagectomy. METHODS A prospective institutional database of 212 patients with esophageal cancer was reviewed for malnutrition assessment using the GLIM criteria. Perioperative metabolic characteristics, postoperative morbidities, and survival outcomes were investigated for GLIM-defined malnutrition. The performance of the two-step approach in implementing the GLIM criteria was evaluated. RESULTS One hundred eighty-nine patients were identified. The preoperative proportions of moderate and severe malnutrition diagnosed by the GLIM criteria were 45.0% and 30.7%, respectively. Patients with severe malnutrition showed lower levels of serum albumin, prealbumin, and total lymphocyte count on postoperative days 1, 3, and 5 (all Ps < 0.05). Severe malnutrition was not only predictive of overall complications (odds ratio, 8.75; P < 0.001), major complications (odds ratio, 15.6; P < 0.001), and delayed hospital discharge (odds ratio, 7.38; P = 0.001) but was also associated with poor overall and disease-free survival (respectively: hazard ratio, 3.75; P = 0.015; and hazard ratio, 4.18; P = 0.028). Notably, patients with severe malnutrition were more clinically impaired than those with moderate malnutrition. Regarding the two-step approaches, the Malnutrition Universal Screening Tool and Nutritional Risk Screening 2002 simplified malnutrition assessments using the GLIM criteria, and the prognostic nutritional index promoted the clinical significance of the GLIM criteria. CONCLUSIONS The GLIM criteria showed good performance in diagnosing and classifying malnutrition in people with esophageal cancer undergoing esophagectomy. The Malnutrition Universal Screening Tool, Nutritional Risk Screening 2002, and prognostic nutritional index could be appropriately used to implement the two-step approach to the GLIM criteria.
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Kaluźniak-Szymanowska A, Krzymińska-Siemaszko R, Lewandowicz M, Deskur-Śmielecka E, Stachnik K, Wieczorowska-Tobis K. Diagnostic Performance and Accuracy of the MNA-SF against GLIM Criteria in Community-Dwelling Older Adults from Poland. Nutrients 2021; 13:nu13072183. [PMID: 34202898 PMCID: PMC8308417 DOI: 10.3390/nu13072183] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 06/21/2021] [Accepted: 06/22/2021] [Indexed: 12/24/2022] Open
Abstract
Up to 28% of elderly residents in Europe are at risk of malnutrition. As uniform diagnostic criteria for malnutrition have not been formulated, in autumn 2018, the Global Leadership Initiative on Malnutrition (GLIM) presented a consensus on its diagnosis. According to the consensus, the diagnosis of malnutrition requires a positive screening test result for the risk of malnutrition, and the presence of at least one etiologic and one phenotypic criterion. This study aimed to assess the diagnostic performance and accuracy of the Mini Nutritional Assessment—Short Form (MNA-SF) against GLIM criteria. The analysis involved 273 community-dwelling volunteers aged ≥ 60 years. All participants were screened for malnutrition with the MNA-SF questionnaire. Next, the GLIM phenotypic and etiologic criteria were assessed in all subjects. Based on the presence of at least one phenotypic and one etiologic criterion, malnutrition was diagnosed in more than one-third of participants (n = 103, 37.7%). According to the MNA-SF, only 7.3% of subjects had malnutrition, and 28.2% were at risk of malnutrition. The agreement between the MNA-SF score and the GLIM criteria were observed in only 22.3% of the population. The sensitivity and specificity of MNA-SF against the GLIM criteria were fair (59.2% and 78.8%, respectively). The area under the curve (AUC) was 0.77, indicating the fair ability of MNA-SF to diagnose malnutrition. Based on the present study results, the best solution may be an optional replacement of the screening tool in the first step of the GLIM algorithm with clinical suspicion of malnutrition.
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Zugasti Murillo A, Petrina-Jáuregui ME, Ripa-Ciáurriz C, Sánchez Sánchez R, Villazón-González F, González-Díaz Faes Á, Fernández-López C, Calles-Romero L, Martín-Palmero Á, Riestra-Fernández M, Dublang-Irazabal M, Rengel-Jiménez J, Díez-Muñiz-Alique M, Agorreta-Ruiz JJ, Salsamendi-Pérez JL, Larrañaga-Unanue I, Abínzano-Guillén ML, Olariaga O, De la Cruz JJ. SeDREno study - prevalence of hospital malnutrition according to GLIM criteria, ten years after the PREDyCES study. NUTR HOSP 2021. [PMID: 34157845 DOI: 10.20960/nh.03638] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
BACKGROUND & AIMS the last large multicenter study on disease-related malnutrition (DRM) in Spain (the PREDyCES study) showed a 23.7 % prevalence of malnutrition, according to the Nutritional Risk Screening (NRS-2002) tool. The main objective of the SeDREno study was to assess the prevalence of hospital malnutrition upon admission, according to GLIM criteria, ten years later. METHODS a cross-sectional, observational, multicenter study in standard clinical practice, conducted in 17 hospitals during a period of five to seven days. Patients were initially screened using the Malnutrition Universal Screening Tool (MUST), and then assessed using the GLIM criteria for diagnosis and severity grading. RESULTS a total of 2,185 patients, 54.8 % males, mean age 67.1 (17.0) years (50.2 % aged ≥ 70 years), were evaluated. Malnutrition was observed in 29.7 % of patients according to GLIM criteria (12.5 % severe, 17.2 % moderate). In patients ≥ 70 years malnutrition was observed in 34.8 %. The clinical conditions significantly associated with a higher prevalence of malnutrition were dysphagia (47.6 %), cognitive impairment (43.4 %), cancer (39.1 %), gastrointestinal disease (37.7 %), diabetes (34.8 %), and cardiovascular disease (33.4 %). The multivariate analysis revealed that gender, BMI, diabetes, cancer, gastrointestinal disorders, and polypharmacy were the main independent factors associated with DRM. Malnutrition was associated with an increase in length of hospital stay and death (p < 0.001). CONCLUSIONS DRM in admitted patients has increased in Spain in the last 10 years paralleling ageing of the population. In the SeDREno study almost one in three patients are malnourished. A systematic assessment of nutritional status allows early detection and implementation of nutritional interventions to achieve a better clinical outcome.
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Zhang F, He ST, Zhang Y, Mu DL, Wang DX. Malnutrition is not related with emergence delirium in older patients after noncardiac surgery. BMC Geriatr 2021; 21:319. [PMID: 34001019 PMCID: PMC8130292 DOI: 10.1186/s12877-021-02270-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 05/04/2021] [Indexed: 11/27/2022] Open
Abstract
Background Delirium is one of the most common complications in older surgical patients. Although previous studies reported that preoperative malnutrition was related with postoperative delirium (POD), there was lack of evidence to illustrate the relationship between malnutrition and emergency delirium (ED). The objective of this study was to investigate the relationship between preoperative malnutrition and ED in older patients undergoing noncardiac surgery. Methods The study was carried out in accordance with STROBE guidelines. This was a secondary analysis of a prospective cohort study. Older patients (65–90 years) who underwent noncardiac surgery under general anesthesia were enrolled in Peking University First Hospital. Results 915 patients were enrolled. The incidence of malnutrition was 53.6 % (490/915). The incidence of emergency delirium was 41.8 % (205/490) in malnutrition group and 31.5 % (134/425) in control group, P < 0.001. After adjusting confounding factors (i.e., age, cognitive impairment, American Society of Anesthesiologists classification (ASA), duration of surgery, pain score, low body temperature and allogeneic blood transfusion), malnutrition was not associated with increased risk of emergency delirium (OR = 1.055, 95 % CI 0.767–1.452, P = 0.742). Conclusions Malnutrition was common in older patients undergoing non-cardiac surgery, but it’s not related with emergence delirium after adjusted for confounders. Trial registration Chinese Clinical Trial Registry (http://www.chictr.org.cn) (ChiCTR-OOC-17,012,734). Supplementary Information The online version contains supplementary material available at 10.1186/s12877-021-02270-2.
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Affiliation(s)
- Fang Zhang
- Department of Anesthesiology, Peking University First Hospital, Xishiku Street No.8, 100034, Beijing, China
| | - Shu-Ting He
- Department of Anesthesiology, Peking University First Hospital, Xishiku Street No.8, 100034, Beijing, China
| | - Yan Zhang
- Department of Anesthesiology, Peking University First Hospital, Xishiku Street No.8, 100034, Beijing, China
| | - Dong-Liang Mu
- Department of Anesthesiology, Peking University First Hospital, Xishiku Street No.8, 100034, Beijing, China.
| | - Dong-Xin Wang
- Department of Anesthesiology, Peking University First Hospital, Xishiku Street No.8, 100034, Beijing, China
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Abadía Otero J, Briongos Figuero LS, Gabella Mattín M, Usategui Martín I, Cubero Morais P, Cuellar Olmedo L, Inglada Galiana L, Dueñas Gutiérrez C, Carretero Gómez J, Corral Gudino L, Miramontes González JP. The nutritional status of the elderly patient infected with COVID-19: the forgotten risk factor? Curr Med Res Opin 2021; 37:549-554. [PMID: 33509001 DOI: 10.1080/03007995.2021.1882414] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Since the first cases of COVID-19 were reported in Wuhan, the nutritional status of individuals infected with the virus has not been included in the risk profiles prepared. However, nutritional status, along with other factors, is decisive in the evolution of patients with other infectious diseases. The nutritional status of individuals is considered an indicator of health status. Furthermore, optimal nutritional status transcends the individual, and poor diet in a population can be considered a group risk factor. Evidence exists on the influence that diet has on the immune system and susceptibility to disease. OBJECTIVE To evaluate the nutritional status of patients older than 65 years who were admitted due to COVID-19 and how this has influenced the evolution of patients. DESIGN This prospective and observational study was performed in patients with COVID-19 infection confirmed by real-time polymerase chain reaction. Data were collected from the first 24 h of admission. All patients admitted during one month to the wards assigned to COVID-19 infection were included. RESULTS A total of 83 patients were studied. The statistical study of mortality showed associations with age (p = .005), living in a nursing home (p = .022), a high Charlson Comorbidity Index (p = .039), hypertension (p = .032), comorbidities of dementia (p = .019) and cerebral vascular disease (p = .041), and Barthel Index (p = .010). The analysis of the influence of the nutritional state on mortality revealed a statistical association between malnutrition and mortality in the pooled data analysis (p = .005) and analysis by degrees of malnutrition (p = .27). CONCLUSIONS Malnutrition was a risk factor as powerful as others such as hypertension, age, and different comorbidities. We must evaluate and treat the nutritional status of elderly patients with COVID-19 infection since it directly affects their evolution.
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Affiliation(s)
- Jessica Abadía Otero
- Internal Medicine Department, Hospital Universitario Río Hortega, Valladolid, Spain
| | | | | | | | - Pablo Cubero Morais
- Internal Medicine Department, Hospital Universitario Río Hortega, Valladolid, Spain
| | - Luis Cuellar Olmedo
- Endocrinology Department, Hospital Universitario Río Hortega, Valladolid, Spain
| | - Luis Inglada Galiana
- Internal Medicine Department, Hospital Universitario Río Hortega, Valladolid, Spain
| | | | | | - Luis Corral Gudino
- Internal Medicine Department, Hospital Universitario Río Hortega, Valladolid, Spain
- Medicine School, Universidad de Valladolid, Valladolid, Spain
| | - José Pablo Miramontes González
- Internal Medicine Department, Hospital Universitario Río Hortega, Valladolid, Spain
- IBSAL - Instituto de Investigaciones Biomédicas de Salamanca, Salamanca, Spain
- Campus ciencias de la salud - Universidad Pontificia de Salamanca, Salamanca, Spain
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Ali AM, Kunugi H. Approaches to Nutritional Screening in Patients with Coronavirus Disease 2019 (COVID-19). Int J Environ Res Public Health 2021; 18:2772. [PMID: 33803339 PMCID: PMC7967488 DOI: 10.3390/ijerph18052772] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 02/25/2021] [Accepted: 03/02/2021] [Indexed: 02/07/2023]
Abstract
Malnutrition is common among severe patients with coronavirus disease 2019 (COVID-19), mainly elderly adults and patients with comorbidities. It is also associated with atypical presentation of the disease. Despite the possible contribution of malnutrition to the acquisition and severity of COVID-19, it is not clear which nutritional screening measures may best diagnose malnutrition in these patients at early stages. This is of crucial importance given the urgency and rapid progression of the disease in vulnerable groups. Accordingly, this review examines the available literature for different nutritional screening approaches implemented among COVID-19 patients, with a special focus on elderly adults. After a literature search, we selected and scrutinized 14 studies assessing malnutrition among COVID-19 patients. The Nutrition Risk Screening 2002 (NRS-2002) has demonstrated superior sensitivity to other traditional screening measures. The controlling nutritional status (CONUT) score, which comprises serum albumin level, cholesterol level, and lymphocytes count, as well as a combined CONUT-lactate dehydrogenase-C-reactive protein score expressed a predictive capacity even superior to that of NRS-2002 (0.81% and 0.92% vs. 0.79%) in midlife and elder COVID-19 patients. Therefore, simple measures based on routinely conducted laboratory investigations such as the CONUT score may be timely, cheap, and valuable alternatives for identifying COVID-19 patients with high nutritional risk. Mini Nutritional Assessment (MNA) was the only measure used to detect residual malnutrition and high malnutrition risk in remitting patients-MNA scores correlated with hypoalbuminemia, hypercytokinemia, and weight loss. Older males with severe inflammation, gastrointestinal symptoms, and pre-existing comorbidities (diabetes, obesity, or hypertension) are more prone to malnutrition and subsequently poor COVID-19 prognosis both during the acute phase and during convalescence. Thus, they are in need of frequent nutritional monitoring and support while detecting and treating malnutrition in the general public might be necessary to increase resilience against COVID-19.
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Affiliation(s)
- Amira Mohammed Ali
- National Center of Neurology and Psychiatry, Department of Mental Disorder Research, National Institute of Neuroscience, Tokyo 187-0031, Japan;
- Department of Psychiatric Nursing and Mental Health, Faculty of Nursing, Alexandria University, Alexandria 21527, Egypt
| | - Hiroshi Kunugi
- National Center of Neurology and Psychiatry, Department of Mental Disorder Research, National Institute of Neuroscience, Tokyo 187-0031, Japan;
- Department of Psychiatry, Teikyo University School of Medicine, Tokyo 173-8605, Japan
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Dávalos-Yerovi V, Marco E, Sánchez-Rodríguez D, Duran X, Meza-Valderrama D, Rodríguez DA, Muñoz E, Tejero-Sánchez M, Muns MD, Guillén-Solà A, Duarte E. Malnutrition According to GLIM Criteria Is Associated with Mortality and Hospitalizations in Rehabilitation Patients with Stable Chronic Obstructive Pulmonary Disease. Nutrients 2021; 13:nu13020369. [PMID: 33530364 PMCID: PMC7911981 DOI: 10.3390/nu13020369] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/16/2021] [Accepted: 01/20/2021] [Indexed: 12/16/2022] Open
Abstract
Malnutrition has a negative impact on patients with chronic pulmonary obstructive disease (COPD). The purpose of this study was to assess the prevalence of malnutrition, defined by the Global Leadership Initiative for Malnutrition (GLIM), in stable COPD patients referred to pulmonary rehabilitation, and to explore potential associations of malnutrition according to GLIM, and its components, with increased risk of mortality and hospitalizations in 2 years. In a post-hoc analysis of a prospective cohort of 200 rehabilitation patients with stable COPD, main outcome variables were hospital admissions, length of stay, and mortality during a 2-year follow-up. Covariates were malnutrition according to GLIM and its phenotypic criteria: unintentional weight loss, low body mass index (BMI), and low fat-free mass (FFM). Univariate and multivariate analysis were performed using logistic and proportional hazard Cox regression. Malnutrition according to GLIM showed 45% prevalence and was associated with increased mortality risk. Low age-related BMI and FFM were independently associated with mortality, which persisted after adjustment for age and lung function. Malnutrition and low BMI were also associated with increased risk of hospitalization. Malnutrition according to GLIM criteria was highly prevalent in rehabilitation patients with COPD and was associated with nearly 3 times greater mortality and hospitalization risk.
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Affiliation(s)
- Vanesa Dávalos-Yerovi
- Physical Medicine and Rehabilitation Department, Parc Salut Mar (Hospital del Mar Hospital de l’Esperança), Passeig Maritim de la Barceloneta 25-29, 08003 Barcelona, Spain; (V.D.-Y.); (M.T.-S.); (A.G.-S.); (E.D.)
- Rehabilitation Research Group, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; (D.S.-R.); (D.M.-V.); (E.M.); (M.D.M.)
| | - Ester Marco
- Physical Medicine and Rehabilitation Department, Parc Salut Mar (Hospital del Mar Hospital de l’Esperança), Passeig Maritim de la Barceloneta 25-29, 08003 Barcelona, Spain; (V.D.-Y.); (M.T.-S.); (A.G.-S.); (E.D.)
- Rehabilitation Research Group, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; (D.S.-R.); (D.M.-V.); (E.M.); (M.D.M.)
- School of Medicine, Universitat Autònoma de Barcelona (UAB), Campus Universitari Mar, Carrer del Doctor Aiguader 80, 08003 Barcelona, Spain;
- School of Medicine, Universitat Internacional de Catalunya, Carrer Josep Trueta s/n, Sant Cugat del Vallès, 08195 Barcelona, Spain
- Correspondence: ; Tel.: +34-603-622-596
| | - Dolores Sánchez-Rodríguez
- Rehabilitation Research Group, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; (D.S.-R.); (D.M.-V.); (E.M.); (M.D.M.)
- Geriatrics Department, Centre Fòrum-Hospital del Mar, Carrer Llull 410, 08019 Barcelona, Spain
- Department of Health Sciences (CEXS), Universitat Pompeu i Fabra, Carrer del Doctor Aiguader 80, 08003 Barcelona, Spain
| | - Xavier Duran
- Methodology and Biostatistics Support Unit, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain;
| | - Delky Meza-Valderrama
- Rehabilitation Research Group, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; (D.S.-R.); (D.M.-V.); (E.M.); (M.D.M.)
- Physical Medicine and Rehabilitation Department, National Institute of Physical Medicine and Rehabilitation (INMFER), Panama City 0819, Panama
- Physical Medicine and Rehabilitation Department, Caja de Seguro Social (C.S.S.), Panama City 0824, Panama
| | - Diego A. Rodríguez
- School of Medicine, Universitat Autònoma de Barcelona (UAB), Campus Universitari Mar, Carrer del Doctor Aiguader 80, 08003 Barcelona, Spain;
- Department of Health Sciences (CEXS), Universitat Pompeu i Fabra, Carrer del Doctor Aiguader 80, 08003 Barcelona, Spain
- Respiratory Medicine Department, Hospital del Mar, Passeig Maritim de la Barceloneta 25-29, 08003 Barcelona, Spain
- Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Avenida Monforte de Lemos 3-5, Pabellón 11, 28019 Madrid, Spain
| | - Elena Muñoz
- Rehabilitation Research Group, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; (D.S.-R.); (D.M.-V.); (E.M.); (M.D.M.)
| | - Marta Tejero-Sánchez
- Physical Medicine and Rehabilitation Department, Parc Salut Mar (Hospital del Mar Hospital de l’Esperança), Passeig Maritim de la Barceloneta 25-29, 08003 Barcelona, Spain; (V.D.-Y.); (M.T.-S.); (A.G.-S.); (E.D.)
- Rehabilitation Research Group, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; (D.S.-R.); (D.M.-V.); (E.M.); (M.D.M.)
| | - Maria Dolors Muns
- Rehabilitation Research Group, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; (D.S.-R.); (D.M.-V.); (E.M.); (M.D.M.)
- Endocrinology and Nutrition Department, Hospital del Mar-Parc de Salut Mar. Passeig Marítim de la Barceloneta, 25, 29, 08003 Barcelona, Spain
| | - Anna Guillén-Solà
- Physical Medicine and Rehabilitation Department, Parc Salut Mar (Hospital del Mar Hospital de l’Esperança), Passeig Maritim de la Barceloneta 25-29, 08003 Barcelona, Spain; (V.D.-Y.); (M.T.-S.); (A.G.-S.); (E.D.)
- Rehabilitation Research Group, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; (D.S.-R.); (D.M.-V.); (E.M.); (M.D.M.)
- School of Medicine, Universitat Autònoma de Barcelona (UAB), Campus Universitari Mar, Carrer del Doctor Aiguader 80, 08003 Barcelona, Spain;
| | - Esther Duarte
- Physical Medicine and Rehabilitation Department, Parc Salut Mar (Hospital del Mar Hospital de l’Esperança), Passeig Maritim de la Barceloneta 25-29, 08003 Barcelona, Spain; (V.D.-Y.); (M.T.-S.); (A.G.-S.); (E.D.)
- Rehabilitation Research Group, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; (D.S.-R.); (D.M.-V.); (E.M.); (M.D.M.)
- School of Medicine, Universitat Autònoma de Barcelona (UAB), Campus Universitari Mar, Carrer del Doctor Aiguader 80, 08003 Barcelona, Spain;
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FONSECA ALF, FERREIRA LG. A critical analysis of the methodological processes applied in the studies using the Global Leadership Initiative on Malnutrition. REV NUTR 2021. [DOI: 10.1590/1678-9865202134e210072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
ABSTRACT Although hospital malnutrition is highly prevalent worldwide, it is difficult to compare the data due to the different nutritional assessment tools used. The Global Leadership Initiative on Malnutrition, which aims to operationalize malnutrition diagnosis, consists of five criteria: three phenotypic and two etiological criteria. Many researchers have studied the applicability and clinical relevance of Global Leadership Initiative on Malnutrition, and methodological standards have been established by the Global Leadership Initiative on Malnutrition commission for the application and possible validation of the tool. This study aimed to analyze the methodological processes of the studies that compared the Global Leadership Initiative on Malnutrition with a test tool. A literature review was conducted by the Portal Periódicos from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior between November 2020 and January 2021. This review included articles published in English between 2016 and 2021 that compared the Global Leadership Initiative on Malnutrition with another tool used for diagnosing malnutrition. The sample had 13 articles, of which 11 did not adequately describe how the Global Leadership Initiative on Malnutrition criteria were applied. Only two studies utilized a combination of the phenotypic and etiological criteria. Some studies differed from the methodological recommendations of the Global Leadership Initiative on Malnutrition commission. Thus, it seems that applying the Global Leadership Initiative on Malnutrition in a manner different from the original framework elicited limited results regarding the applicability and reliability of the tool. Therefore, more studies should be conducted on the application of the GLIM Global Leadership Initiative on Malnutrition in different populations and contexts as per the patterns suggested to determine its actual applicability and reliability.
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Shiota A, Nakayama N, Saito Y, Maeda T, Maeda Y, Nakayama K. Prevalence and Associated Factors of Malnutrition and Sarcopenia in a Daycare Facility: A Cross-Sectional Study. Healthcare (Basel) 2020; 8:E576. [PMID: 33353169 DOI: 10.3390/healthcare8040576] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 12/16/2020] [Accepted: 12/18/2020] [Indexed: 12/27/2022] Open
Abstract
Malnutrition and sarcopenia are prevalent and growing health issues in older populations. Early detection is important to implement proper interventions. However, little is known about malnutrition and sarcopenia in daycare facilities, the most dominant long-term care service. In this study, the prevalence of and factors associated with malnutrition and sarcopenia in older individuals who commute to community daycare facilities were evaluated. The cross-sectional study included 62 older individuals screened for malnutrition and sarcopenia on their first day in a daycare facility in Japan. Daily physical activity and basal diseases were also evaluated. According to Global Leadership Initiative on Malnutrition (GLIM) criteria, 40.3% (25/62) of patients were malnourished and 59.7% (37/62) were well nourished. The Asian Working Group for Sarcopenia 2019 evaluation found that 12.9% (8/62) of patients showed no sarcopenia, whereas 87.1% (54/62) had sarcopenia. The prevalence of well-nourished sarcopenic individuals was the highest (45.2% (28/62)), followed by malnourished sarcopenia individuals (40.3% (25/62)). All malnourished individuals were sarcopenic and 14.5% (9/62) were well nourished and nonsarcopenic. Daily physical activity was significantly lower among sarcopenic individuals. Subgroups showed no significant difference in comorbidities. The prevalence of malnutrition and sarcopenia was relatively high. Activity-related sarcopenia seemed to precede malnutrition. Early detection of malnutrition and sarcopenia in daycare facilities should be encouraged for early intervention.
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