Prognostic utility of multipoint nutritional screening for hospitalized patients with acute decompensated heart failure

Tomonobu Takikawa, Takuya Sumi, Kunihiko Takahara, Shiou Ohguchi, Mitsutoshi Oguri, Hideki Ishii, Toyoaki Murohara

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2 Citations (Scopus)


This study aimed to evaluate the impact of serial changes in nutritional status on 1-year events including all-cause mortality or rehospitalization owing to heart failure (HF) among hospitalized patients with acute decompensated HF (ADHF). The study subjects comprised 253 hospitalized patients with ADHF. The controlling nutritional status (CONUT) score was assessed both at hospital admission and discharge. The subjects were divided into three groups according to nutritional status using CONUT score: normal (0 and 1), mild risk (2–4), and moderate to severe risk defined as malnutrition (5–12). We observed nutritional status was improved or not. The incidence of malnutrition was 30.4% at hospital admission and 23.7% at discharge, respectively. Malnutrition was independently associated with 1-year events among hospitalized patients with ADHF. Presence or absence of improvement in nutritional status was significantly associated with 1-year events (P < 0.05), that was independent of percentage change in plasma volume in multivariate Cox regression analyses. We determined a reference model, including gender and estimated glomerular filtration rate, using multivariate logistic regression analysis (P < 0.05). Adding the absence of improvement in nutritional status during hospitalization to the reference model significantly improved both NRI and IDI (0.563, P < 0.001 and 0.039, P = 0.001). Furthermore, malnutrition at hospital discharge significantly improved NRI (0.256, P = 0.036) In conclusion, serial changes in the nutritional status evaluated on the basis of multiple measurements may provide more useful information to predict 1-year events than single measurement at hospital admission or discharge in hospitalized patients with ADHF.

Original languageEnglish
Pages (from-to)93-105
Number of pages13
JournalNagoya journal of medical science
Issue number1
Publication statusPublished - 2021

All Science Journal Classification (ASJC) codes

  • General Medicine


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