Literature DB >> 28573538

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.

Isao Nishi1,2, Yoshihiro Seo3, Yoshie Hamada-Harimura3, Kimi Sato3, Seika Sai4, Masayoshi Yamamoto3, Tomoko Ishizu5, Akinori Sugano6, Kenichi Obara6, Longmei Wu7, Shoji Suzuki7, Akira Koike8, Kazutaka Aonuma3.   

Abstract

The objective of the study was to clarify whether controlling nutritional status (CONUT) is useful for predicting the long-term prognosis of patients hospitalized with heart failure (HF). A total of 482 (57.5%) HF patients from the Ibaraki Cardiovascular Assessment Study-HF (N = 838) were enrolled (298 men, 71.7 ± 13.6 years). At admission, blood samples were collected and nutritional status assessed using CONUT. CONUT scores were defined as follows: 0-1, normal; 2-4, light; 5-8, moderate; and 9-12, severe undernutrition. Accordingly, 352 (73%) patients had light-to-severe nutritional disturbances. In the follow-up period [median 541.5 (range 354-786) days], 109 deaths were observed. A Kaplan-Meier analysis revealed that all-cause deaths occurred more frequently in HF patients with nutritional disturbances [n = 93 (26.4%)] than in those with normal nutrition [n = 16 (12.3%); log-rank p < 0.001]. The Cox proportional hazard analyses revealed that a per point increase in the CONUT score was associated with an increased risk of all-cause death (hazard ratio 1.142; 95% confidence interval, 1.044-1.249) after controlling simultaneously for age, sex, previous history of HF hospitalization, log brain natriuretic peptide, and use of therapeutic agents at admission (tolvaptan and aldosterone antagonists). This study suggests that nutritional screening using CONUT scores is helpful in predicting the long-term prognosis of patients hospitalized with HF in a multicenter registry setting.

Entities:  

Keywords:  CONUT score; Heart failure; Nutritional screening; Prognosis

Mesh:

Year:  2017        PMID: 28573538     DOI: 10.1007/s00380-017-1001-8

Source DB:  PubMed          Journal:  Heart Vessels        ISSN: 0910-8327            Impact factor:   2.037


  29 in total

Review 1.  The management of conditioned nutritional requirements in heart failure.

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2.  Single-center trials show larger treatment effects than multicenter trials: evidence from a meta-epidemiologic study.

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Journal:  Ann Intern Med       Date:  2011-07-05       Impact factor: 25.391

3.  Additional predictive value of nutritional status in the prognostic assessment of heart failure patients.

Authors:  M T La Rovere; R Maestri; F Olmetti; V Paganini; G Riccardi; R Riccardi; G D Pinna; E Traversi
Journal:  Nutr Metab Cardiovasc Dis       Date:  2016-09-23       Impact factor: 4.222

4.  Effect of amlodipine on the survival of patients with severe chronic heart failure due to a nonischemic cardiomyopathy: results of the PRAISE-2 study (prospective randomized amlodipine survival evaluation 2).

Authors:  Milton Packer; Peter Carson; Uri Elkayam; Marvin A Konstam; Gordon Moe; Christopher O'Connor; Jean-Lucien Rouleau; Douglas Schocken; Susan A Anderson; David L DeMets
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Journal:  Rev Esp Cardiol       Date:  2011-06-08       Impact factor: 4.753

6.  Influence of hospitalization for cardiovascular versus noncardiovascular reasons on subsequent mortality in patients with chronic heart failure across the spectrum of ejection fraction.

Authors:  Akshay S Desai; Brian Claggett; Marc A Pfeffer; Natalie Bello; Peter V Finn; Christopher B Granger; John J V McMurray; Stuart Pocock; Karl Swedberg; Salim Yusuf; Scott D Solomon
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8.  Readmission and mortality in malnourished, older, hospitalized adults treated with a specialized oral nutritional supplement: A randomized clinical trial.

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Authors:  Kotaro Nochioka; Yasuhiko Sakata; Jun Takahashi; Satoshi Miyata; Masanobu Miura; Tsuyoshi Takada; Yoshihiro Fukumoto; Nobuyuki Shiba; Hiroaki Shimokawa
Journal:  Circ J       Date:  2013-06-26       Impact factor: 2.993

10.  Revised equations for estimated GFR from serum creatinine in Japan.

Authors:  Seiichi Matsuo; Enyu Imai; Masaru Horio; Yoshinari Yasuda; Kimio Tomita; Kosaku Nitta; Kunihiro Yamagata; Yasuhiko Tomino; Hitoshi Yokoyama; Akira Hishida
Journal:  Am J Kidney Dis       Date:  2009-04-01       Impact factor: 8.860

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  13 in total

Review 1.  Nutritional Interventions in Heart Failure: Challenges and Opportunities.

Authors:  Conor P Kerley
Journal:  Curr Heart Fail Rep       Date:  2018-06

2.  Combined effect of nutritional status on long-term outcomes in patients with coronary artery disease undergoing percutaneous coronary intervention.

Authors:  Hideki Wada; Tomotaka Dohi; Katsumi Miyauchi; Hirohisa Endo; Shuta Tsuboi; Manabu Ogita; Takatoshi Kasai; Shinya Okazaki; Kikuo Isoda; Satoru Suwa; Hiroyuki Daida
Journal:  Heart Vessels       Date:  2018-06-08       Impact factor: 2.037

3.  The relationship between the time until commencement of tolvaptan and the length of hospital stay in heart failure patients.

Authors:  Shunsuke Kiuchi; Shinji Hisatake; Takayuki Kabuki; Takashi Oka; Shintaro Dobashi; Takahiro Fujii; Takanori Ikeda
Journal:  Heart Vessels       Date:  2017-11-11       Impact factor: 2.037

4.  Prognostic value of DCTA scoring system in heart failure.

Authors:  Tian-Jun Zhao; Qian-Kun Yang; Li-Dan Bi; Jie Li; Chun-Yu Tan; Zhi-Lin Miao
Journal:  Herz       Date:  2020-10-21       Impact factor: 1.443

5.  Controlling nutritional status score predicts postoperative complications after hip fracture surgery.

Authors:  Toshio Yagi; Yusuke Oshita; Ichiro Okano; Takuma Kuroda; Koji Ishikawa; Takashi Nagai; Katsunori Inagaki
Journal:  BMC Geriatr       Date:  2020-07-13       Impact factor: 3.921

6.  Predictors of cardiac function in acute heart failure patients with mid-range ejection fraction: AURORA study.

Authors:  Kyosuke Yanagawa; Hitoshi Nakamura; Yutaka Matsuhiro; Koji Yasumoto; Keisuke Yasumura; Akihiro Tanaka; Yasuharu Matsunaga-Lee; Daisuke Nakamura; Masamichi Yano; Masaki Yamato; Yasuyuki Egami; Ryu Shutta; Yasushi Sakata; Masami Nishino; Jun Tanouchi
Journal:  ESC Heart Fail       Date:  2019-06-21

7.  Nutritional risk index as a predictor of mortality in acutely decompensated heart failure.

Authors:  Jae Yeong Cho; Kye Hun Kim; Hyun-Jai Cho; Hae-Young Lee; Jin-Oh Choi; Eun-Seok Jeon; Sang Eun Lee; Min-Seok Kim; Jae-Joong Kim; Kyung-Kuk Hwang; Shung Chull Chae; Sang Hong Baek; Seok-Min Kang; Dong-Ju Choi; Byung-Su Yoo; Youngkeun Ahn; Hyun-Young Park; Myeong-Chan Cho; Byung-Hee Oh
Journal:  PLoS One       Date:  2018-12-14       Impact factor: 3.240

8.  The Additional Prognostic Value of Ghrelin for Mortality and Readmission in Elderly Patients with Acute Heart Failure.

Authors:  Yin Yuan; Feng Huang; Chaochao Deng; Pengli Zhu
Journal:  Clin Interv Aging       Date:  2020-08-11       Impact factor: 4.458

9.  Geriatric nutritional risk index predicts all-cause deaths in heart failure with preserved ejection fraction.

Authors:  Isao Nishi; Yoshihiro Seo; Yoshie Hamada-Harimura; Masayoshi Yamamoto; Tomoko Ishizu; Akinori Sugano; Kimi Sato; Seika Sai; Kenichi Obara; Shoji Suzuki; Akira Koike; Kazutaka Aonuma; Masaki Ieda
Journal:  ESC Heart Fail       Date:  2019-02-01

10.  Association of lower extremity function with nutritional status and number of drugs in patients with chronic heart failure.

Authors:  Yosuke Morimoto; Hiroaki Kawano; Kei Miyanaga; Yudai Yano; Takuya Fukushima; Ryo Kozu; Kiyoyuki Eishi; Koji Maemura
Journal:  J Int Med Res       Date:  2020-10       Impact factor: 1.671

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