Literature DB >> 35699761

Prognostic value of malnutrition evaluated using the Global Leadership Initiative on Malnutrition criteria and its association with psoas muscle volume in non-ischemic dilated cardiomyopathy.

Ryota Ito1, Hiroaki Hiraiwa2, Takashi Araki1, Takashi Mizutani1, Shingo Kazama1, Yuki Kimura1, Hideo Oishi1, Tasuku Kuwayama1, Toru Kondo1, Ryota Morimoto1, Takahiro Okumura1, Toyoaki Murohara1.   

Abstract

Heart failure (HF) is a systemic inflammatory disease that causes hypotrophy and skeletal muscle loss. The Global Leadership Initiative on Malnutrition (GLIM) criteria have been developed as a novel evaluation index for malnutrition, with reported usefulness in HF caused by ischemic heart disease. However, reports on the usefulness of malnutrition evaluated by the GLIM criteria in non-ischemic dilated cardiomyopathy (NIDCM) and its relationship with psoas muscle volume are lacking. We investigated the prognostic value of malnutrition evaluated using the GLIM criteria and its association with psoas muscle volume in patients with NIDCM. We enrolled 139 consecutive patients with NIDCM between December 2000 and June 2020. Malnutrition was evaluated using the GLIM criteria on admission. The median follow-up period was 4.7 years. Cardiac events were defined as a composite of cardiac death, hospitalization for worsening HF, and lethal arrhythmia. Furthermore, we measured the psoas muscle volume using computed tomography volumetry in 48 patients. At baseline, the median age was 50 years, and 132 patients (95.0%) had New York Heart Association functional class I or II HF. The median psoas muscle volume was 460.8 cm3. A total of 26 patients (18.7%) were malnourished according to the GLIM criteria. The Kaplan-Meier survival analysis showed that malnourished patients had more cardiac events than non-malnourished patients (log-rank, P < 0.001). The multivariate Cox proportional hazards regression analysis revealed that GLIM criteria-based malnutrition was an independent determinant of cardiac events (hazard ratio, 2.065; 95% confidence interval, 1.166-3.656; P = 0.014). Psoas muscle volume, which was assessed in a total of 48 patients, was lower in malnourished than in non-malnourished patients (median, 369.0 vs. 502.3 cm3; P = 0.035) and correlated with body mass index (r = 0.441; P = 0.002). Nutritional screening using the GLIM criteria may be useful in predicting future cardiac events in patients with NIDCM, reflecting a potential relationship between malnutrition and a low psoas muscle volume.
© 2022. Springer Japan KK, part of Springer Nature.

Entities:  

Keywords:  CT volumetry; GLIM criteria; Malnutrition; Non-ischemic dilated cardiomyopathy; Psoas muscle volume

Mesh:

Year:  2022        PMID: 35699761     DOI: 10.1007/s00380-022-02113-z

Source DB:  PubMed          Journal:  Heart Vessels        ISSN: 0910-8327            Impact factor:   1.814


  39 in total

1.  Utility of the Controlling Nutritional Status (CONUT) score in patients admitted due to acute heart failure.

Authors:  Francesc Formiga; David Chivite; Xavier Corbella
Journal:  Int J Cardiol       Date:  2017-05-15       Impact factor: 4.164

2.  Prognostic importance of objective nutritional indexes in patients with chronic heart failure.

Authors:  Taro Narumi; Takanori Arimoto; Akira Funayama; Shinpei Kadowaki; Yoichiro Otaki; Satoshi Nishiyama; Hiroki Takahashi; Tetsuro Shishido; Takehiko Miyashita; Takuya Miyamoto; Tetsu Watanabe; Isao Kubota
Journal:  J Cardiol       Date:  2013-06-24       Impact factor: 3.159

3.  Usefulness of the plasma branched-chain amino acid/aromatic amino acid ratio for predicting future cardiac events in patients with heart failure.

Authors:  Hiroaki Hiraiwa; Takahiro Okumura; Toru Kondo; Toshiaki Kato; Shingo Kazama; Toshikazu Ishihara; Etsuo Iwata; Masafumi Shimojo; Sayano Kondo; Soichiro Aoki; Yasunori Kanzaki; Daisuke Tanimura; Hiroaki Sano; Yoshifumi Awaji; Sumio Yamada; Toyoaki Murohara
Journal:  J Cardiol       Date:  2020-01-27       Impact factor: 3.159

4.  Nutritional status is related to heart failure severity and hospital readmissions in acute heart failure.

Authors:  Rosa María Agra Bermejo; Rocío González Ferreiro; Alfonso Varela Román; Inés Gómez Otero; Omar Kreidieh; Patricia Conde Sabarís; Moisés Rodríguez-Mañero; María Moure González; Ana Seoane Blanco; Alejandro Virgós Lamela; Alberto García Castelo; Jose Ramón González Juanatey
Journal:  Int J Cardiol       Date:  2016-12-19       Impact factor: 4.164

5.  Prevalence and Prognostic Significance of Malnutrition Using 3 Scoring Systems Among Outpatients With Heart Failure: A Comparison With Body Mass Index.

Authors:  Shirley Sze; Pierpaolo Pellicori; Syed Kazmi; Alan Rigby; John G F Cleland; Kenneth Wong; Andrew Lawrence Clark
Journal:  JACC Heart Fail       Date:  2018-05-09       Impact factor: 12.035

6.  The global health and economic burden of hospitalizations for heart failure: lessons learned from hospitalized heart failure registries.

Authors:  Andrew P Ambrosy; Gregg C Fonarow; Javed Butler; Ovidiu Chioncel; Stephen J Greene; Muthiah Vaduganathan; Savina Nodari; Carolyn S P Lam; Naoki Sato; Ami N Shah; Mihai Gheorghiade
Journal:  J Am Coll Cardiol       Date:  2014-02-05       Impact factor: 24.094

7.  Prognostic Nutritional Index and the Risk of Mortality in Patients With Acute Heart Failure.

Authors:  Yu-Lun Cheng; Shih-Hsien Sung; Hao-Min Cheng; Pai-Feng Hsu; Chao-Yu Guo; Wen-Chung Yu; Chen-Huan Chen
Journal:  J Am Heart Assoc       Date:  2017-06-25       Impact factor: 5.501

8.  Agreement and Classification Performance of Malnutrition Tools in Patients with Chronic Heart Failure.

Authors:  Shirley Sze; Pierpaolo Pellicori; Jufen Zhang; Joan Weston; Andrew L Clark
Journal:  Curr Dev Nutr       Date:  2020-04-08

9.  Association with Controlling Nutritional Status (CONUT) Score and In-hospital Mortality and Infection in Acute Heart Failure.

Authors:  Takao Kato; Hidenori Yaku; Takeshi Morimoto; Yasutaka Inuzuka; Yodo Tamaki; Erika Yamamoto; Yusuke Yoshikawa; Takeshi Kitai; Ryoji Taniguchi; Moritake Iguchi; Masashi Kato; Mamoru Takahashi; Toshikazu Jinnai; Tomoyuki Ikeda; Kazuya Nagao; Takafumi Kawai; Akihiro Komasa; Ryusuke Nishikawa; Yuichi Kawase; Takashi Morinaga; Kanae Su; Mitsunori Kawato; Yuta Seko; Moriaki Inoko; Mamoru Toyofuku; Yutaka Furukawa; Yoshihisa Nakagawa; Kenji Ando; Kazushige Kadota; Satoshi Shizuta; Koh Ono; Yukihito Sato; Koichiro Kuwahara; Neiko Ozasa; Takeshi Kimura
Journal:  Sci Rep       Date:  2020-02-24       Impact factor: 4.379

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