Literature DB >> 30569221

Controlling Nutritional Status (CONUT) Score Predicts Outcomes of Curative Resection for Gastric Cancer in the Elderly.

Satoshi Suzuki1, Shingo Kanaji2, Masashi Yamamoto2, Taro Oshikiri2, Tetsu Nakamura2, Yoshihiro Kakeji2.   

Abstract

BACKGROUND: Preoperative nutritional status is considered to affect the short-term and long-term outcomes of cancer patients. The clinical value of the controlling nutritional status (CONUT) score in elderly patients undergoing gastrectomy for gastric cancer remains unknown.
METHODS: This study reviewed 211 elderly patients aged 75 years or over who underwent curative resection for gastric cancer from 2000 to 2015. Patients were grouped according to the preoperative CONUT score into those with normal nutrition (75 patients), light malnutrition (100 patients) and moderate or severe malnutrition (36 patients). The predictive value of the CONUT score for postoperative morbidity and survival was assessed.
RESULTS: Impaired nutrition was associated with cardiovascular disease (P = 0.012) and chronic kidney disease (P = 0.014), and worsened malnutrition was linked to advanced age (P = 0.004), decreased body mass index (P = 0.008) and advanced disease stage (P = 0.01). Multivariate analysis showed the CONUT score as an independent predictor of procedure-unrelated infectious morbidity (odds ratio, 2.36; 95% confidence interval [CI], 0.99-5.40; P = 0.046). Patients with a higher CONUT score had significantly shorter overall survival in both stage I and stage II/III gastric cancer (P = 0.044 and P = 0.007, respectively) and reduced cancer-specific survival in stage II/III (P = 0.003) The CONUT score was a strong predictors of overall survival (hazard ratio [HR], 2.12; 95% CI, 1.18-3.69; P = 0.012) and cancer-specific survival (HR, 3.75; 95% CI, 1.30-10.43; P = 0.015) independent of disease stage.
CONCLUSIONS: The preoperative CONUT score is a simple and promising predictor of postoperative procedure-unrelated infectious morbidity and prognosis in elderly gastric cancer patients.

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Year:  2019        PMID: 30569221     DOI: 10.1007/s00268-018-04889-6

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  40 in total

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Authors:  J Ignacio de Ulíbarri; A González-Madroño; N G P de Villar; P González; B González; A Mancha; F Rodríguez; G Fernández
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2.  Are pretreatment serum albumin and cholesterol levels prognostic tools in patients with colorectal carcinoma?

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Review 4.  ESPEN guideline: Clinical nutrition in surgery.

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Journal:  Clin Nutr       Date:  2017-03-07       Impact factor: 7.324

5.  Measurement of the systemic inflammatory response predicts cancer-specific and non-cancer survival in patients with cancer.

Authors:  D C McMillan; M M Elahi; N Sattar; W J Angerson; J Johnstone; C S McArdle
Journal:  Nutr Cancer       Date:  2001       Impact factor: 2.900

Review 6.  Cancer prehabilitation: an opportunity to decrease treatment-related morbidity, increase cancer treatment options, and improve physical and psychological health outcomes.

Authors:  Julie K Silver; Jennifer Baima
Journal:  Am J Phys Med Rehabil       Date:  2013-08       Impact factor: 2.159

7.  Preoperative Nutritional Assessment by Controlling Nutritional Status (CONUT) is Useful to estimate Postoperative Morbidity After Esophagectomy for Esophageal Cancer.

Authors:  Naoya Yoshida; Yoshifumi Baba; Hironobu Shigaki; Kazuto Harada; Masaaki Iwatsuki; Junji Kurashige; Yasuo Sakamoto; Yuji Miyamoto; Takatsugu Ishimoto; Keisuke Kosumi; Ryuma Tokunaga; Yu Imamura; Satoshi Ida; Yukiharu Hiyoshi; Masayuki Watanabe; Hideo Baba
Journal:  World J Surg       Date:  2016-08       Impact factor: 3.352

8.  Impact of the Preoperative Controlling Nutritional Status (CONUT) Score on the Survival after Curative Surgery for Colorectal Cancer.

Authors:  Yasuhito Iseki; Masatsune Shibutani; Kiyoshi Maeda; Hisashi Nagahara; Hiroshi Ohtani; Kenji Sugano; Tetsuro Ikeya; Kazuya Muguruma; Hiroaki Tanaka; Takahiro Toyokawa; Katsunobu Sakurai; Kosei Hirakawa
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

9.  Prognostic Importance of Controlling Nutritional Status in Patients Undergoing Curative Thoracoscopic Esophagectomy for Esophageal Cancer.

Authors:  Noriyuki Hirahara; Takeshi Matsubara; Hikota Hayashi; Kiyoe Takai; Soichi Nakada; Yoshitsugu Tajima
Journal:  Am J Ther       Date:  2018 Sep/Oct       Impact factor: 2.688

10.  Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey.

Authors:  Daniel Dindo; Nicolas Demartines; Pierre-Alain Clavien
Journal:  Ann Surg       Date:  2004-08       Impact factor: 12.969

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  15 in total

1.  Prognostic performance of Controlling Nutritional Status score in patients with ST segment elevation myocardial infarction treated with primary percutaneous coronary intervention.

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Journal:  Anatol J Cardiol       Date:  2022-01       Impact factor: 1.596

2.  Geriatric Nutritional Risk Index Predicts Poor Prognosis of Patients After Curative Surgery for Gastric Cancer.

Authors:  Hirotaka Furuke; Daiki Matsubara; Takeshi Kubota; Jun Kiuchi; Hidemasa Kubo; Takuma Ohashi; Hiroki Shimizu; Tomohiro Arita; Yusuke Yamamoto; Hirotaka Konishi; Ryo Morimura; Atsushi Shiozaki; Yoshiaki Kuriu; Hisashi Ikoma; Hitoshi Fujiwara; Kazuma Okamoto; Eigo Otsuji
Journal:  Cancer Diagn Progn       Date:  2021-05-03

3.  Controlling nutritional status score as a prognostic marker to predict overall survival in resected biliary tract cancers.

Authors:  Lejia Sun; Si Su; Jianping Xiong; Wenmo Hu; Lei Liu; Haifeng Xu; Shunda Du; Haitao Zhao; Xin Lu; Xinting Sang; Shouxian Zhong; Huayu Yang; Yilei Mao
Journal:  Ann Transl Med       Date:  2021-04

4.  Prognostic Nutritional Index as a New Prediction Tool for Coronary Collateral Development.

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Journal:  Acta Cardiol Sin       Date:  2022-01       Impact factor: 2.672

5.  Preoperative geriatric nutritional risk index is a useful prognostic indicator in elderly patients with gastric cancer.

Authors:  Noriyuki Hirahara; Takeshi Matsubara; Yusuke Fujii; Shunsuke Kaji; Ryoji Hyakudomi; Tetsu Yamamoto; Yuki Uchida; Yoshiko Miyazaki; Kazunari Ishitobi; Yasunari Kawabata; Yoshitsugu Tajima
Journal:  Oncotarget       Date:  2020-06-16

6.  Prognostic significance of the controlling nutritional status (CONUT) score in patients undergoing gastrectomy for gastric cancer: a systematic review and meta-analysis.

Authors:  Kosei Takagi; Piotr Domagala; Wojciech G Polak; Stefan Buettner; Bas P L Wijnhoven; Jan N M Ijzermans
Journal:  BMC Surg       Date:  2019-09-05       Impact factor: 2.102

7.  Controlling Nutritional Status (CONUT) score as a predictive marker for short-term complications following gastrectomy of gastric cancer: a retrospective study.

Authors:  Feng Sun; Chen Zhang; Zhijian Liu; Shichao Ai; Wenxian Guan; Song Liu
Journal:  BMC Gastroenterol       Date:  2021-03-05       Impact factor: 3.067

8.  The Effect of the Prognostic Nutritional Index on the Toxic Side Effects of Radiochemotherapy and Prognosis After Radical Surgery for Gastric Cancer.

Authors:  Ji-Yu Liu; Hong-Min Dong; Wen-Ling Wang; Gang Wang; Huan Pan; Wei-Wei Chen; Qian Wang; Ze-Jun Wang
Journal:  Cancer Manag Res       Date:  2021-04-16       Impact factor: 3.989

9.  Controlling Nutritional Status Score Before Receiving Treatment as a Prognostic Indicator for Patients With Urothelial Cancer: An Exploration Evaluation Methods.

Authors:  Lei Peng; Chunxiao Du; Chunyang Meng; Jinze Li; Chengyu You; Xianhui Li; Pan Zhao; Dehong Cao; Yunxiang Li
Journal:  Front Oncol       Date:  2021-10-13       Impact factor: 6.244

10.  Association between Preoperative Nutritional Status and Clinical Outcomes of Patients with Coronary Artery Disease Undergoing Percutaneous Coronary Intervention.

Authors:  Su-Chan Chen; Ya-Ling Yang; Cheng-Hsueh Wu; Shao-Sung Huang; Wan Leong Chan; Shing-Jong Lin; Chia-Yu Chou; Jaw-Wen Chen; Ju-Pin Pan; Min-Ji Charng; Ying-Hwa Chen; Tao-Cheng Wu; Tse-Min Lu; Pai-Feng Hsu; Po-Hsun Huang; Hao-Min Cheng; Chin-Chou Huang; Shih-Hsien Sung; Yenn-Jiang Lin; Hsin-Bang Leu
Journal:  Nutrients       Date:  2020-05-02       Impact factor: 5.717

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