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Li XQ, Liang Y, Huang CF, Li SN, Cheng L, You C, Liu YX, Wang T. Advancements in nutritional diagnosis and support strategies during the perioperative period for patients with liver cancer. World J Gastrointest Surg 2024; 16:2409-2425. [PMID: 39220056 PMCID: PMC11362955 DOI: 10.4240/wjgs.v16.i8.2409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 05/27/2024] [Accepted: 06/24/2024] [Indexed: 08/16/2024] Open
Abstract
Liver cancer represents a grave hepatic condition and constitutes a significant global health concern. Surgical resection remains the principal therapeutic modality for liver cancer. Nevertheless, perioperative malnutrition exerts a notable impact on patients with liver cancer, emerging as an independent risk factor for disease mortality and adverse outcomes. Hence, precise nutritional diagnosis and timely nutritional support hold the potential to enhance therapeutic efficacy and quality of life for liver cancer patients. This study represents a meticulous foray into the literature, extracting data from PubMed, Web of Science, and EMBASE databases, with a focus on the past 5 years. It scrutinizes the impact of malnutrition on patients undergoing liver cancer surgery, the etiological underpinnings of malnutrition within this patient cohort, the critical assessment of perioperative nutritional status, and the strategic approaches to nutritional support. Utilizing rigorous inclusion and exclusion criteria, the amassed scholarly works are meticulously synthesized, methodically organized, and categorically elaborated upon. Ultimately, the authors propose the incorporation of a multidisciplinary nutrition management team during the perioperative period, comprising nutritionists, pharmacists, physicians, nurses, psychologists, and rehabilitation therapists, among other specialized professionals. Together, they collaborate to devise and implement personalized nutritional support plans, monitor patients' nutritional status, and make necessary adjustments as required. Through comprehensive management and intervention, improvements in the nutritional status of liver cancer patients can be achieved, thereby enhancing surgical success rates and facilitating postoperative recovery. It is believed that this manuscript will offer valuable insights to advance the nutritional management during the perioperative phase of liver cancer, aiding in ameliorating patients' nutritional status and treatment outcomes.
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Affiliation(s)
- Xiao-Qin Li
- Department of Hepatobiliary Surgery, The Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Yun Liang
- Department of Paediatric Surgery, The Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Chen-Feng Huang
- Department of Cardiovascular Surgery, The First Affiliated Hospital, Jinan University, Guangzhou 510632, Guangdong Province, China
| | - Sui-Ning Li
- Department of Cardiovascular Surgery, The First Affiliated Hospital, Jinan University, Guangzhou 510632, Guangdong Province, China
| | - Lei Cheng
- Department of Hepatobiliary Surgery, The Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Chuan You
- Department of Hepatobiliary Surgery, The Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Yao-Xia Liu
- Department of Geriatric Endocrinology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, Sichuan Province, China
| | - Tao Wang
- Department of Pediatric Cardiology, West China Second University Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
- Department of Pediatrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu 610041, Sichuan Province, China
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Mackay S, Botero L, Bell J, Young A. Exploring adult inpatients' perceptions, understanding and preferences regarding the term 'malnutrition': A qualitative study. J Clin Nurs 2024; 33:3236-3246. [PMID: 38629591 DOI: 10.1111/jocn.17175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 03/19/2024] [Accepted: 04/07/2024] [Indexed: 07/09/2024]
Abstract
AIMS To explore adult inpatients' perceptions, understanding and preferences regarding the term 'malnutrition' and to identify the terms that adult inpatients report are used by themselves and health workers to describe malnutrition. DESIGN This qualitative study was conducted using data collected for a separate qualitative study that investigated factors that influence the dietary intake of long-stay, acute adult inpatients. METHODS Semi-structured interviews were conducted with a purposive sample of current inpatients. Data were analysed using inductive content analysis. RESULTS Nineteen interviews were included (mean age 64 years (standard deviation ±17), 10 female (53%), 12 malnourished (63%)). Four categories were identified. 'Variation in patients' recognition of malnutrition' represents the differing abilities of patients to understand and identify with the term 'malnutrition'. 'Recognising individuals' needs and preferences' highlights patients' varying beliefs regarding whether 'malnutrition' is or is not an appropriate term and participants' suggestion that health workers should tailor the term used to each patient. 'Inconsistencies in health workers' and patients' practice regarding malnutrition terminology' encapsulates the multiple terms that were used to describe malnutrition by health workers and patients. 'Importance of malnutrition education' summarises patients' views that health workers should provide patient education on malnutrition prevention, management and complications. CONCLUSION Findings highlight variations in patients' perceptions and understanding of the term 'malnutrition' and differences in the terms used by patients and health workers to describe malnutrition. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE The terminology used by health workers to describe malnutrition risk or malnutrition to their patients can influence patients' recognition of their nutritional status and thus the multidisciplinary management of the condition. To ensure that patients receive information about their malnutrition risk or diagnosis in a way that meets their needs, health workers' practices must be revised. To do this, it is imperative to conduct further collaborative research with patients and health workers to identify optimum terms for 'malnutrition' and how health workers should communicate this to patients. IMPACT There is a disparity in patients' perceptions, understanding and preferences for the term 'malnutrition' and there are inconsistencies in how health workers communicate malnutrition to patients. To support patients' recognition and understanding of their nutritional status, it is imperative for health workers to consider how they discuss malnutrition with patients. REPORTING METHOD Adheres to the Consolidated Criteria for Reporting Qualitative Research (Tong et al., 2007). PATIENT OR PUBLIC CONTRIBUTION No Patient or Public Contribution.
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Affiliation(s)
- Sarah Mackay
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
- Nutrition and Dietetics, The Prince Charles Hospital, Chermside, Queensland, Australia
| | - Liliana Botero
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Jack Bell
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
- Allied Health Research Collaborative, The Prince Charles Hospital, Chermside, Queensland, Australia
| | - Adrienne Young
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
- Dietetics and Food Services, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
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Tenderenda K, Gierczak A, Panczyk M, Sobocki J, Zaczek Z. Nutritional Status as a Prognostic Factor for Survival in Palliative Care: A Retrospective Observational Analysis of Home Parenteral Nutrition in Cancer Patients with Inoperable Malignant Bowel Obstruction. Nutrients 2024; 16:1569. [PMID: 38892502 PMCID: PMC11174551 DOI: 10.3390/nu16111569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 05/18/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024] Open
Abstract
Palliative care patients with malignant bowel obstruction are particularly at risk of developing malnutrition, which in turn directly shortens survival time and worsens quality of life (QoL). According to the available data, the survival time in this patient group is often less than three months. To avoid further complications related to malnutrition and poor outcomes in oncological therapy, nutritional therapy such as home parenteral nutrition (HPN) is offered. The aim of this study was to investigate whether nutritional status is a prognostic factor for survival in palliative care patients with malignant inoperable bowel obstruction qualified for home parenteral nutrition and which nutritional assessment tool has the most accurate prognostic value. This retrospective observational analysis included 200 patients with malignant bowel obstruction referred for home parenteral nutrition between January 2018 and August 2023. The analysis included laboratory test results, body mass index (BMI), Subjective Global Assessment (SGA), Nutritional Risk Index (NRI), Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI) and malnutrition as defined by the Global Leadership Initiative on Malnutrition (GLIM). The average survival time of the patients was 75 days. Patients with higher NRI and PNI scores were more likely to survive (NRI: p < 0.001; PNI: p < 0.001). The GLIM criteria, SGA scores and BMI values did not prove to be good prognostic factors for survival (GLIM p = 0.922, SGA p = 0.083, BMI p = 0.092). The results suggest that the use of NRI and PNI may be helpful in prognosing survival in these patients and that prevention of the development of malnutrition through earlier nutritional assessment and intervention should be considered in this patient group.
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Affiliation(s)
- Karolina Tenderenda
- Student Research Association for Clinical Nutrition, Department of General Surgery and Clinical Nutrition, Centre of Postgraduate Medical Education, Medical University of Warsaw, 00-401 Warsaw, Poland
| | - Aleksandra Gierczak
- Student Research Association for Clinical Nutrition, Department of General Surgery and Clinical Nutrition, Centre of Postgraduate Medical Education, Medical University of Warsaw, 00-401 Warsaw, Poland
| | - Mariusz Panczyk
- Department of Education and Research in Health Sciences, Faculty of Health Sciences, Medical Univeristy of Warsaw, 00-518 Warsaw, Poland;
| | - Jacek Sobocki
- Department of General Surgery and Clinical Nutrition, Centre of Postgraduate Medical Education, 00-401 Warsaw, Poland (Z.Z.)
| | - Zuzanna Zaczek
- Department of General Surgery and Clinical Nutrition, Centre of Postgraduate Medical Education, 00-401 Warsaw, Poland (Z.Z.)
- Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, Erazma Ciołka 27, 01-445 Warsaw, Poland
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Zheng X, Ruan X, Wang X, Zhang X, Zang Z, Wang Y, Gao R, Wei T, Zhu L, Zhang Y, Li Q, Liu F, Shi H. Bayesian diagnostic test evaluation and true prevalence estimation of malnutrition in gastric cancer patients. Clin Nutr ESPEN 2024; 59:436-443. [PMID: 38220406 DOI: 10.1016/j.clnesp.2023.12.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/11/2023] [Accepted: 12/13/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND & AIMS Malnutrition is prevalent among gastric cancer (GC) patients, necessitating early assessment of nutritional status to guide monitoring and interventions for improved outcomes. We aim to evaluate the accuracy and prognostic capability of three nutritional tools in GC patients, providing insights for clinical implementation. METHODS The present study is an analysis of data from 1308 adult GC patients recruited in a multicenter from July 2013 to July 2018. Nutritional status was assessed using Nutritional Risk Screening 2002 (NRS-2002), Patient-Generated Subjective Global Assessment (PG-SGA) and Global Leadership Initiative on Malnutrition (GLIM) criteria. Bayesian latent class model (LCM) estimated the malnutrition prevalence of GC patients, sensitivity and specificity of nutritional tools. Cox regression model analyzed the relationship between nutritional status and overall survival (OS) in GC patients. RESULTS Among 1308 GC patients, NRS-2002, PG-SGA, and GLIM identified 50.46%, 76.76%, and 68.81% as positive, respectively. Bayesian LCM analysis revealed that PG-SGA had the highest sensitivity (0.96) for malnutrition assessment, followed by GLIM criteria (0.78) and NRS-2002 (0.65). Malnutrition or being at risk of malnutrition were identified as independent prognostic factors for OS. Use any of these tools improved survival prediction in TNM staging system. CONCLUSION PG-SGA is the most reliable tool for diagnosing malnutrition in GC patients, whereas NRS-2002 is suitable for nutritional screening in busy clinical practice. Given the lower sensitivity of NRS-2002, direct utilization of GLIM for nutritional assessment may be necessary. Each nutritional tool should be associated with a specific course of action, although further research is needed.
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Affiliation(s)
- Xite Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Xiaoli Ruan
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Xiaonan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Xiaorui Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Zhaoping Zang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Yijie Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Ran Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Tong Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Lingyan Zhu
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Yijun Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Quanmei Li
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Fen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China.
| | - Hanping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China.
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Ouaijan K, Hwalla N, Kandala NB, Abi Kharma J, Kabengele Mpinga E. Analysis of predictors of malnutrition in adult hospitalized patients: social determinants and food security. Front Nutr 2023; 10:1149579. [PMID: 37229465 PMCID: PMC10203390 DOI: 10.3389/fnut.2023.1149579] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 04/07/2023] [Indexed: 05/27/2023] Open
Abstract
Background Malnutrition in hospitalized patients is becoming a priority during the patient care process due to its implications for worsening health outcomes. It can be the result of numerous social factors beyond clinical ones. This study aimed to evaluate the link between these various risk factors considered social determinants of health, food security levels, and malnutrition and to identify potential predictors. Methods A cross-sectional observational study was conducted on a random sample of adult patients in five different hospitals in Lebanon. Malnutrition was assessed using the Global Leadership Initiative on Malnutrition (GLIM) criteria. Patients were interviewed to collect social and economic characteristics and were categorized into four criteria: (1) area of residence (urbanization level), (2) level of education, (3) employment status, and (4) source of health coverage. The food security level was screened by a validated two-question tool, adapted from the US Department of Agriculture Household Food Security Survey, targeting both quantity and quality. Results In a random sample of 343 patients, the prevalence of malnutrition according to the GLIM criteria was 35.6%. Patients with low levels of food security, mainly low quality of food, had higher odds of being malnourished (OR = 2.93). Unemployed or retired patients and those who have only completed only elementary school had higher odds of being diagnosed with malnutrition as compared to those who were employed or had university degrees, respectively (OR = 4.11 and OR = 2.33, respectively). Employment status, education level, and type of health coverage were identified as predictors of malnutrition in the multiple regression model. Household location (urban vs. rural) was not associated with malnutrition. Conclusion The social determinants of health identified in our study, mainly the level of education and income level, in addition to food security, were identified as predictors of malnutrition in hospitalized patients. These findings should guide healthcare professionals and national policies to adopt a broader perspective in targeting malnutrition by including social determinants in their nutrition care.
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Affiliation(s)
- Krystel Ouaijan
- Department of Clinical Nutrition, Saint George Hospital University Medical Center, Beirut, Lebanon
- Institute of Global Health, University of Geneva, Geneva, Switzerland
| | - Nahla Hwalla
- Department of Nutrition and Food Sciences, American University of Beirut, Beirut, Lebanon
| | - Ngianga-Bakwin Kandala
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Division of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Joelle Abi Kharma
- Faculty of Arts and Sciences, Lebanese American University, Beirut, Lebanon
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Chen M, Wang X, Han M, Li Y, Yu N, Long X, Chen W. Temporal and periorbital depressions identified by 3D images are correlated with malnutrition phenotypes in cancer patients: A pilot study. Front Nutr 2023; 10:1115079. [PMID: 36992909 PMCID: PMC10042485 DOI: 10.3389/fnut.2023.1115079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 02/10/2023] [Indexed: 03/14/2023] Open
Abstract
BackgroundPrompt diagnosis of malnutrition and appropriate interventions can substantially improve the prognosis of patients with cancer; however, it is difficult to unify the tools for screening malnutrition risk. 3D imaging technology has been emerging as an approach to assisting in the diagnosis of diseases, and we designed this study to explore its application value in identifying the malnutrition phenotype and evaluating nutrition status.MethodsHospitalized patients treating with maintenance chemotherapy for advanced malignant tumor of digestive system were recruited from the Department of Oncology, whose NRS 2002 score > 3. Physical examination and body composition data of patients at risk for malnutrition were analyzed by physicians trained to complete a subjective global assessment. The facial depression index was recognized using the Antera 3D® system, temporal and periorbital depression indexes were acquired using the companion software Antera Pro. This software captures quantitative data of depression volume, affected area, and maximum depth of temporal and periorbital concave areas.ResultsA total of 53 inpatients with malnutrition-related indicators were included. The volume of temporal depression was significantly negatively correlated with upper arm circumference (r = −0.293, p = 0.033) and calf circumference (r = −0.285, p = 0.038). The volume and affected area of periorbital depression were significantly negatively correlated with fat mass index (r = −0.273, p = 0.048 and r = −0.304, p = 0.026, respectively) and percent body fat (r = −0.317, p = 0.021 and r = −0.364, p = 0.007, respectively). The volume and affected area of temporal depression in patients with muscle loss phenotype (low arm circumference/low calf circumference/low handgrip strength/low fat-free mass index) were significantly higher than those in patients without muscle loss. Moreover, patients with fat mass loss phenotype (low fat mass index) showed a significant increase in the volume and affected area of periorbital depression.ConclusionThe facial temporal region, and periorbital depression indicators extracted by 3D image recognition technology were significantly associated with the phenotype of malnutrition-related muscle and fat loss and showed a trend of grade changes in the population of different subjective global assessment nutritional classifications.
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Affiliation(s)
- Moxi Chen
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xue Wang
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Meifen Han
- Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Yunzhu Li
- Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Nanze Yu
- Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Xiao Long
- Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China
- Xiao Long,
| | - Wei Chen
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- *Correspondence: Wei Chen,
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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; 11:730. [PMID: 36900735 PMCID: PMC10000444 DOI: 10.3390/healthcare11050730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [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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Koppe L, Mak RH. Is There a Need to "Modernize" and "Simplify" the Diagnostic Criteria of Protein-Energy Wasting? Semin Nephrol 2023; 43:151403. [PMID: 37541069 DOI: 10.1016/j.semnephrol.2023.151403] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/06/2023]
Abstract
Protein energy wasting(PEW) is a term that most nephrologists used to define nutritional disorders in patients with acute kidney injury and chronic kidney disease. Although this nomenclature is well implemented in the field of nephrology, the use of other terms such as cachexia or malnutritionin the majority of chronic diseases can induce confusion regarding the definition and interpretation of these terms. There is ample evidence in the literature that the pathways involved in cachexia/malnutrition and PEW are common. However, in kidney diseases, there are pathophysiological conditions such as accumulation of uremic toxins, and the use of dialysis, which may induce a phenotypic specificity justifying the original term PEW. In light of the latest epidemiologic studies, the criteria for PEW used in 2008 probably need to be updated. The objective of this review is to summarize the main mechanisms involved in cachexia/malnutrition and PEW. We discuss the need to modernize and simplify the current definition and diagnostic criteria of PEW. We consider the interest of proposing a specific nomenclature of PEW for children and elderly patients with kidney diseases.
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Affiliation(s)
- Laetitia Koppe
- Department of Nephrology, Hospices Civils de Lyon, Centre Hospitalier Lyon-Sud, Pierre-Bénite, France; University Lyon, Cardiovasculaire, Métabolisme, Diabète et Nutrition Laboratory, Institut National des Sciences Appliquées-Lyon, Institut National de la Santé et de la Recherche Médicale U1060, l'Institut National de Recherche Pour l'agriculture, l'alimentation et l'environnement (INRAE), Université Claude Bernard Lyon 1, Villeurbanne, France.
| | - Robert H Mak
- Division of Pediatric Nephrology, Rady Children's Hospital, University of California San Diego, La Jolla, California
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