Literature DB >> 28041709

Prognostic value of malnutrition assessed by Controlling Nutritional Status score for long-term mortality in patients with acute heart failure.

Naotsugu Iwakami1, Toshiyuki Nagai2, Toshiaki A Furukawa3, Yasuo Sugano4, Satoshi Honda4, Atsushi Okada4, Yasuhide Asaumi4, Takeshi Aiba4, Teruo Noguchi4, Kengo Kusano4, Hisao Ogawa4, Satoshi Yasuda4, Toshihisa Anzai4.   

Abstract

BACKGROUND: The prognostic value of nutritional status is poorly understood and evidence-based nutritional assessment indices are required in acute heart failure (AHF). We investigated the prognostic value of malnutrition assessed by the Controlling Nutritional Status (CONUT) score (range 0-12, higher=worse, consisting of serum albumin, cholesterol and lymphocytes) in AHF patients.
METHODS: The CONUT score was measured on admission in 635 consecutive AHF patients. The primary outcome was all-cause death.
RESULTS: Median CONUT score was 3 (interquartile range 2 to 5). During the median follow-up of 324days, CONUT score was independently associated with death (HR 1.26, 95% CI 1.11-1.42, P<0.001) after adjustment for confounders in a multivariate Cox model. The CONUT score demonstrated the best C-statistic for predicting death (0.71) among other common nutritional markers in HF. Furthermore, addition of the CONUT score to an established risk prediction model from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure study significantly increased the C-statistic from 0.75 to 0.77 (P=0.02). The net reclassification improvement afforded by CONUT score was 21% for all-cause death, 27% for survival and 49% overall (P<0.001).
CONCLUSION: Malnutrition assessed by the CONUT score on admission was an independent determinant of long-term death in AHF, and its prognostic value outweighed that of other nutritional indices. Moreover, addition of the score to the existing risk prediction model significantly increased the predictive ability for death, indicating beneficial clinical application of the CONUT score in AHF patients.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Acute heart failure; Cachexia; Controlling Nutritional Status score; Malnutrition; Prognosis

Mesh:

Substances:

Year:  2016        PMID: 28041709     DOI: 10.1016/j.ijcard.2016.12.064

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  28 in total

1.  Prognostic impact of nutritional status assessed by the Controlling Nutritional Status score in patients with stable coronary artery disease undergoing percutaneous coronary intervention.

Authors:  Hideki Wada; Tomotaka Dohi; Katsumi Miyauchi; Shinichiro Doi; Hirokazu Konishi; Ryo Naito; Shuta Tsuboi; Manabu Ogita; Takatoshi Kasai; Shinya Okazaki; Kikuo Isoda; Satoru Suwa; Hiroyuki Daida
Journal:  Clin Res Cardiol       Date:  2017-06-20       Impact factor: 5.460

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

Authors:  Satoshi Suzuki; Shingo Kanaji; Masashi Yamamoto; Taro Oshikiri; Tetsu Nakamura; Yoshihiro Kakeji
Journal:  World J Surg       Date:  2019-04       Impact factor: 3.352

3.  The prognostic impact of malnutrition in patients with severely decompensated acute heart failure, as assessed using the Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score.

Authors:  Akihiro Shirakabe; Noritake Hata; Nobuaki Kobayashi; Hirotake Okazaki; Masato Matsushita; Yusaku Shibata; Suguru Nishigoori; Saori Uchiyama; Kuniya Asai; Wataru Shimizu
Journal:  Heart Vessels       Date:  2017-08-12       Impact factor: 2.037

Review 4.  Anabolism to Catabolism: Serologic Clues to Nutritional Status in Heart Failure.

Authors:  Laura Murphy; Alastair Gray; Emer Joyce
Journal:  Curr Heart Fail Rep       Date:  2019-10

5.  Nutritional screening based on the controlling nutritional status (CONUT) score at the time of admission is useful for long-term prognostic prediction in patients with heart failure requiring hospitalization.

Authors:  Isao Nishi; Yoshihiro Seo; Yoshie Hamada-Harimura; Kimi Sato; Seika Sai; Masayoshi Yamamoto; Tomoko Ishizu; Akinori Sugano; Kenichi Obara; Longmei Wu; Shoji Suzuki; Akira Koike; Kazutaka Aonuma
Journal:  Heart Vessels       Date:  2017-06-01       Impact factor: 2.037

6.  Serum Prealbumin: a potential predictor of Right Ventricular Dysfunction in patients receiving programmed hemodialysis.

Authors:  Murat Gok; Alparslan Kurtul; Gökay Taylan; Emel Işıktaş Sayılar; Kenan Yalta
Journal:  Rev Assoc Med Bras (1992)       Date:  2022-06-24       Impact factor: 1.712

7.  Impact of the Malnutrition on Mortality in Elderly Patients Undergoing Percutaneous Coronary Intervention.

Authors:  Liling Chen; Zhidong Huang; Jin Lu; Yanfang Yang; Yuxiong Pan; Kunming Bao; Junjie Wang; Weihua Chen; Jin Liu; Yong Liu; Kaihong Chen; Weiguo Li; Shiqun Chen
Journal:  Clin Interv Aging       Date:  2021-07-14       Impact factor: 4.458

8.  Predictive Value of the Serum Cystatin C/Prealbumin Ratio in Combination With NT-proBNP Levels for Long-Term Prognosis in Chronic Heart Failure Patients: A Retrospective Cohort Study.

Authors:  Chuanhe Wang; Su Han; Fei Tong; Ying Li; Zhichao Li; Zhijun Sun
Journal:  Front Cardiovasc Med       Date:  2021-07-14

Review 9.  Muscle wasting and sarcopenia in heart failure and beyond: update 2017.

Authors:  Jochen Springer; Joshua-I Springer; Stefan D Anker
Journal:  ESC Heart Fail       Date:  2017-11

10.  Low Docosahexaenoic Acid, Dihomo-Gamma-Linolenic Acid, and Arachidonic Acid Levels Associated with Long-Term Mortality in Patients with Acute Decompensated Heart Failure in Different Nutritional Statuses.

Authors:  Shohei Ouchi; Tetsuro Miyazaki; Kazunori Shimada; Yurina Sugita; Megumi Shimizu; Azusa Murata; Takao Kato; Tatsuro Aikawa; Shoko Suda; Tomoyuki Shiozawa; Masaru Hiki; Shuhei Takahashi; Hiroshi Iwata; Takatoshi Kasai; Katsumi Miyauchi; Hiroyuki Daida
Journal:  Nutrients       Date:  2017-08-30       Impact factor: 5.717

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