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      Controlling Nutritional Status (CONUT) score is a prognostic factor in patients with resected breast cancer

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          Abstract

          The present study aimed to determine the correlation between controlling nutritional status (CONUT) and prognosis in resected breast cancer patients. Totally, 861 breast cancer patients with surgical resection in West China Hospital of Sichuan University between 2007 and 2010 were included. The relationship between CONUT and various clinicopathological factors as well as prognosis was evaluated. The results showed that the optimal cutoff value for CONUT to predict the 5-year survival was 3 and CONUT had a higher area under the ROC curve (AUC) for 5-year disease free survival (DFS) and overall survival (OS) prediction compared with the neutrophil lymphocyte ratio (NLR) and prognostic nutritional index (PNI). High CONUT was significantly correlated with older age, lymph node involvement, advanced T-stage, and surgery type. In the multivariate analysis, CONUT-high patients had worse DFS and OS, when compared with CONUT-low patients. In conclusion, preoperative CONUT is a useful marker for predicting long term outcomes in breast cancer patients after curative resection.

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          The prognostic significance of the prognostic nutritional index in cancer: a systematic review and meta-analysis.

          Kaiyu Sun, Shuling Chen, JIANBO XU … (2014)
          The prognostic nutritional index (PNI) is a simple and effective parameter, initially created to evaluate preoperative nutritional conditions and surgical risk. It has been recently been found to be associated with short- and long-term outcomes of various malignancies. We performed a meta-analysis to determine the predictive significance of PNI in cancer, as a mean to assist in determining the optimal surgery timing and in improving the survival of cancer patients.
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            CONUT: a tool for controlling nutritional status. First validation in a hospital population.

            J. Ignacio de Ulíbarri, A. González-Madroño, N G P de Villar … (2005)
            The serious problem of hospital undernutrition is still being underestimated, despite its impact on clinical evolution and costs. The screening methods developed so far are not useful for daily clinical practice due to their low effectiveness/cost ratio. We present an screening tool for CONtrolling NUTritional status (CONUT) that allows an automatic daily assessment of nutritional status of all inpatients that undergo routine analysis. The system is based on a computer application that compiles daily all useful patient information available in hospital databases, through the internal network. It automatically assesses the nutritional status taking into account laboratory information including serum albumin, total cholesterol level and total lymphocyte count. We have studied the association between the results of the Subjective Global Assessment (SGA) and Full Nutritional Assessment (FNA) with those from CONUT, in a sample of 53 individuals. The agreement degree between CONUT and FNA as measured by kappa index is 0.669 (p = 0.003), and between CONUT and SGA is 0.488 (p = 0.034). Considering FNA as "gold standard" we obtain a sensitivity of 92.3 and a specificity of 85.0. CONUT seems to be an efficient tool for early detection and continuous control of hospital undernutrition, with the suitable characteristics for these screening functions.
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              Controlling Nutritional Status (CONUT) score is a prognostic marker for gastric cancer patients after curative resection.

              Daisuke Kuroda, Hiroshi Sawayama, Junji Kurashige … (2018)
              Controlling Nutritional Status (CONUT), as calculated from serum albumin, total cholesterol concentration, and total lymphocyte count, was previously shown to be useful for nutritional assessment. The current study investigated the potential use of CONUT as a prognostic marker in gastric cancer patients after curative resection.
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                Author and article information

                Contributors
                Qinghua Zhou: zhouqh135@163.com
                Journal
                Journal ID (nlm-ta): Sci Rep
                Journal ID (iso-abbrev): Sci Rep
                Title: Scientific Reports
                Publisher: Nature Publishing Group UK (London )
                ISSN (Electronic): 2045-2322
                Publication date (Electronic): 20 April 2020
                Publication date PMC-release: 20 April 2020
                Publication date Collection: 2020
                Volume: 10
                Electronic Location Identifier: 6633
                Affiliations
                [1 ]Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041 P.R. China
                [2 ]Department of Cancer, The People’s Hospital of Yuechi, Guang’an, Sichuan 638300 P.R. China
                [3 ]ISNI 0000 0004 1770 1022, GRID grid.412901.f, Department of Breast Surgery, , West China Hospital of Sichuan University, ; Chengdu, Sichuan 610041 P.R. China
                Article
                Publisher ID: 63610
                DOI: 10.1038/s41598-020-63610-7
                PMC ID: 7171067
                PubMed ID: 32313183
                SO-VID: bb2c9cf2-ad09-43ce-a8e6-e39146b8c295
                Copyright © © The Author(s) 2020
                License:

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                Date received : 23 November 2018
                Date accepted : 27 March 2020
                Categories
                Subject: Article
                Custom metadata
                issue-copyright-statement © The Author(s) 2020

                ScienceOpen disciplines: Uncategorized
                Keywords: cancer,surgical oncology
                Data availability:
                ScienceOpen disciplines: Uncategorized
                Keywords: cancer, surgical oncology

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