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      Nutritional Risk Screening in Cancer Patients: The First Step Toward Better Clinical Outcome

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          Abstract

          Disease-related malnutrition is highly prevalent among cancer patients, with 40–80% suffering from it during the course of their disease. Malnutrition is associated with numerous negative outcomes such as: longer hospital stays, increased morbidity and mortality rates, delayed wound healing, as well as decreased muscle function, autonomy and quality of life. In cancer patients, malnutrition negatively affects treatment tolerance (including anti-cancer drugs, surgery, chemo- and radiotherapy), increases side effects, causes adverse reactions, treatment interruptions, postoperative complications and higher readmission rates. Conversely, anti-cancer treatments are also known to affect body composition and impair nutritional status. Tailoring early nutritional therapy to patients' needs has been shown to prevent, treat and limit the negative consequences of malnutrition and is likely to improve overall prognosis. As the optimisation of treatment outcomes is top priority and evidence for nutritional therapy is growing, it is increasingly recognized as a significant intervention and an autonomous component of multimodal cancer care. The proactive implementation of nutritional screening and assessment is essential for patients suffering from cancer - given the interaction of clinical, metabolic, pharmacological factors with systemic inflammation; and suppressed appetite with accelerated muscle protein catabolism. At the same time, a nutritional care plan must be established, and adequate individualized nutritional intervention started rapidly. Screening tools for nutritional risk should be validated, standardized, non-invasive, quick and easy-to-use in daily clinical practice. Such tools must be able to identify patients who are already malnourished, as well as those at risk for malnutrition, in order to prevent or treat malnutrition and reduce negative outcomes. This review investigates the predictive value of commonly used screening tools, as well as the sensitivity and specificity of their individual components for improving clinical outcomes in oncologic populations. Healthcare professionals' awareness of malnutrition in cancer patients and the pertinence of early nutritional screening must be raised in order to plan the best possible intervention and follow-up during the patients' ordeal with the disease.

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          Most cited references68

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          Definition and classification of cancer cachexia: an international consensus.

          To develop a framework for the definition and classification of cancer cachexia a panel of experts participated in a formal consensus process, including focus groups and two Delphi rounds. Cancer cachexia was defined as a multifactorial syndrome defined by an ongoing loss of skeletal muscle mass (with or without loss of fat mass) that cannot be fully reversed by conventional nutritional support and leads to progressive functional impairment. Its pathophysiology is characterised by a negative protein and energy balance driven by a variable combination of reduced food intake and abnormal metabolism. The agreed diagnostic criterion for cachexia was weight loss greater than 5%, or weight loss greater than 2% in individuals already showing depletion according to current bodyweight and height (body-mass index [BMI] <20 kg/m(2)) or skeletal muscle mass (sarcopenia). An agreement was made that the cachexia syndrome can develop progressively through various stages--precachexia to cachexia to refractory cachexia. Severity can be classified according to degree of depletion of energy stores and body protein (BMI) in combination with degree of ongoing weight loss. Assessment for classification and clinical management should include the following domains: anorexia or reduced food intake, catabolic drive, muscle mass and strength, functional and psychosocial impairment. Consensus exists on a framework for the definition and classification of cancer cachexia. After validation, this should aid clinical trial design, development of practice guidelines, and, eventually, routine clinical management. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            ESPEN guidelines on nutrition in cancer patients

            Cancers are among the leading causes of morbidity and mortality worldwide, and the number of new cases is expected to rise significantly over the next decades. At the same time, all types of cancer treatment, such as surgery, radiation therapy, and pharmacological therapies are improving in sophistication, precision and in the power to target specific characteristics of individual cancers. Thus, while many cancers may still not be cured they may be converted to chronic diseases. All of these treatments, however, are impeded or precluded by the frequent development of malnutrition and metabolic derangements in cancer patients, induced by the tumor or by its treatment. These evidence-based guidelines were developed to translate current best evidence and expert opinion into recommendations for multi-disciplinary teams responsible for identification, prevention, and treatment of reversible elements of malnutrition in adult cancer patients. The guidelines were commissioned and financially supported by ESPEN and by the European Partnership for Action Against Cancer (EPAAC), an EU level initiative. Members of the guideline group were selected by ESPEN to include a range of professions and fields of expertise. We searched for meta-analyses, systematic reviews and comparative studies based on clinical questions according to the PICO format. The evidence was evaluated and merged to develop clinical recommendations using the GRADE method. Due to the deficits in the available evidence, relevant still open questions were listed and should be addressed by future studies. Malnutrition and a loss of muscle mass are frequent in cancer patients and have a negative effect on clinical outcome. They may be driven by inadequate food intake, decreased physical activity and catabolic metabolic derangements. To screen for, prevent, assess in detail, monitor and treat malnutrition standard operating procedures, responsibilities and a quality control process should be established at each institution involved in treating cancer patients. All cancer patients should be screened regularly for the risk or the presence of malnutrition. In all patients - with the exception of end of life care - energy and substrate requirements should be met by offering in a step-wise manner nutritional interventions from counseling to parenteral nutrition. However, benefits and risks of nutritional interventions have to be balanced with special consideration in patients with advanced disease. Nutritional care should always be accompanied by exercise training. To counter malnutrition in patients with advanced cancer there are few pharmacological agents and pharmaconutrients with only limited effects. Cancer survivors should engage in regular physical activity and adopt a prudent diet.
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              Screening for undernutrition in geriatric practice: developing the short-form mini-nutritional assessment (MNA-SF).

              The Mini-Nutritional Assessment (MNA) is a validated assessment instrument for nutritional problems, but its length limits its usefulness for screening. We sought to develop a screening version of this instrument, the MNA-SF, that retains good diagnostic accuracy. We reanalyzed data from France that were used to develop the original MNA and combined these with data collected in Spain and New MEXICO: Of the 881 subjects with complete MNA data, 151 were from France, 400 were from Spain, and 330 were from New MEXICO: Independent ratings of clinical nutritional status were available for 142 of the French subjects. Overall, 73.8% were community dwelling, and mean age was 76.4 years. Items were chosen for the MNA-SF on the basis of item correlation with the total MNA score and with clinical nutritional status, internal consistency, reliability, completeness, and ease of administration. After testing multiple versions, we identified an optimal six-item MNA-SF total score ranging from 0 to 14. The cut-point score for MNA-SF was calculated using clinical nutritional status as the gold standard (n = 142) and using the total MNA score (n = 881). The MNA-SF was strongly correlated with the total MNA score (r = .945). Using an MNA-SF score of > or = 11 as normal, sensitivity was 97.9%, specificity was 100%, and diagnostic accuracy was 98.7% for predicting undernutrition. The MNA-SF can identify persons with undernutrition and can be used in a two-step screening process in which persons, identified as "at risk" on the MNA-SF, would receive additional assessment to confirm the diagnosis and plan interventions.
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                Author and article information

                Contributors
                Journal
                Front Nutr
                Front Nutr
                Front. Nutr.
                Frontiers in Nutrition
                Frontiers Media S.A.
                2296-861X
                07 April 2021
                2021
                : 8
                : 603936
                Affiliations
                [1] 1Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital, Inselspital, University of Bern , Bern, Switzerland
                [2] 2Artificial Organ (ARTORG) Centre for Biomedical Engineering Research, University of Bern , Bern, Switzerland
                Author notes

                Edited by: Lidia Santarpia, University of Naples Federico II, Italy

                Reviewed by: Susana S. Couto Irving, Consultant, United Kingdom; Dan Linetzky Waitzberg, Universidade de São Paulo, Brazil

                *Correspondence: Emilie Reber emilie.reber@ 123456insel.ch

                This article was submitted to Clinical Nutrition, a section of the journal Frontiers in Nutrition

                Article
                10.3389/fnut.2021.603936
                8058175
                33898493
                93fbf756-233e-4a14-a7d7-f580ee91fecd
                Copyright © 2021 Reber, Schönenberger, Vasiloglou and Stanga.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 08 September 2020
                : 15 March 2021
                Page count
                Figures: 0, Tables: 3, Equations: 0, References: 68, Pages: 9, Words: 7074
                Categories
                Nutrition
                Review

                cancer,nrs 2002,malnutrition (mesh),oncology,nutritional screening

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