Evidence map›Paper›PMID 32094392›Full record

ArticleScientific reports2020

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

Takao Kato, Hidenori Yaku, Takeshi Morimoto, Yasutaka Inuzuka, Yodo Tamaki, Erika Yamamoto, Yusuke Yoshikawa, Takeshi Kitai, Ryoji Taniguchi, Moritake Iguchi and 25 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 4 pooled it
8.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 4 syntheses or guidelines pooled it, 87 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

35 authors at 19 institutions in 1 country.

Takao KatoDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan. tkato75@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0001-8213-7999
Hidenori YakuDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takeshi MorimotoDepartment of Clinical Epidemiology, Hyogo College of Medicine, Hyogo, Japan.ORCID http://orcid.org/0000-0002-6844-739X
Yasutaka InuzukaDepartment of Cardiovascular Medicine, Shiga Medical Center for Adult, Shiga, Japan.
Yodo TamakiDivision of Cardiology, Tenri Hospital, Nara, Japan.
Erika YamamotoDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yusuke YoshikawaDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takeshi KitaiDepartment of Cardiovascular Medicine, Kobe City Medical Center General Hospital, Hyogo, Japan.
Ryoji TaniguchiDepartment of Cardiology, Hyogo Prefectural Amagasaki General Medical Center, Hyogo, Japan.
Moritake IguchiNational Hospital Organization Kyoto Medical Center, Kyoto, Japan.
Masashi KatoMitsubishi Kyoto Hospital, Kyoto, Japan.
Mamoru TakahashiShimabara Hospital, Kyoto, Japan.
Toshikazu JinnaiJapanese Red Cross Otsu Hospital, Shiga, Japan.
Tomoyuki IkedaHikone Municipal Hospital, Shiga, Japan.
Kazuya NagaoOsaka Red Cross Hospital, Osaka, Japan.
Takafumi KawaiKishiwada City Hospital, Osaka, Japan.
Akihiro KomasaKansai Electric Power Hospital, Osaka, Japan.
Ryusuke NishikawaKurashiki Central Hospital, Okayama, Japan.
Yuichi KawaseKurashiki Central Hospital, Okayama, Japan.
Takashi MorinagaKokura Memorial Hospital, Fukuoka, Japan.
Kanae SuJapanese Red Cross Wakayama Medical Center, Wakayama, Japan.
Mitsunori KawatoNishikobe Medical Center, Hyogo, Japan.
Yuta SekoKitano Hospital, Osaka, Japan.
Moriaki InokoKitano Hospital, Osaka, Japan.
Mamoru ToyofukuJapanese Red Cross Wakayama Medical Center, Wakayama, Japan.
Yutaka FurukawaDepartment of Cardiovascular Medicine, Kobe City Medical Center General Hospital, Hyogo, Japan.
Yoshihisa NakagawaDivision of Cardiology, Tenri Hospital, Nara, Japan.
Kenji AndoKokura Memorial Hospital, Fukuoka, Japan.
Kazushige KadotaKurashiki Central Hospital, Okayama, Japan.
Satoshi ShizutaDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Koh OnoDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yukihito SatoDepartment of Cardiology, Hyogo Prefectural Amagasaki General Medical Center, Hyogo, Japan.
Koichiro KuwaharaDepartment of Cardiovascular Medicine, Shinshu University Graduate School of Medicine, Matsumoto, Japan.
Neiko OzasaDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takeshi KimuraDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Kyoto University · JPKurashiki Central Hospital · JPHyogo Prefectural Amagasaki General Medical Center · JPJapanese Red Cross Society Wakayama Medical Center · JPKitano Hospital · JPKobe City Medical Center General Hospital · JPKokura Memorial Hospital · JPTenri Hospital · JPHikone Central Hospital · JPHyogo Medical University · JPKansai Electric Power Hospital · JPKishiwada City Hospital · JPKobe Medical Center · JPKyoto Medical Center · JPMitsubishi Kyoto Hospital · JPOsaka Red Cross Hospital · JPOtsu Red Cross Hospital · JPShiga Medical Center · JPShinshu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high controlling nutritional status (CONUT) score that represents poor nutritional status has been acknowledged to have prognostic implications in chronic heart failure. We aimed to investigate its role in acute decompensated heart failure (ADHF). Using the data from an multicenter registry that enrolled 4056 consecutive patients hospitalized for ADHF in Japan between 2014 and 2016, we analyzed 2466 patients in whom data on the components of the CONUT score at hospital presentation were available. The decrease of lymphocyte count and total cholesterol was assigned with 0, 1, 2, and 3 points and the decrease of albumin was assigned with 0, 2, 4, and 6 points according to the severity. We defined low CONUT score as 0-4 (N = 1568) and high CONUT score as 5-9 (N = 898). The patients in the high CONUT score group were older and more likely to have a smaller body mass index than those in the low CONUT score group. The high CONUT score group was associated with higher rate of death and infection during the index hospitalization compared to the low CONUT score group (9.0% versus 4.4%, and 21.9% versus 12.7%, respectively). After adjusting for confounders, the excess risk of high relative to low CONUT score for mortality and infection was significant (OR: 1.61, 95%CI: 1.05-2.44, and OR: 1.66, 95%CI: 1.30-2.12, respectively). The effect was incremental according to the score. High CONUT score was associated with higher risk for in-hospital mortality and infection in an incremental manner in patients hospitalized for ADHF.

Indexed as

Hospital MortalityNutritional StatusAcute DiseaseAgedAged, 80 and overC-Reactive ProteinFemaleHeart FailureHospitalizationHumansInfectionsMaleRisk FactorsTreatment OutcomeC-Reactive Protein

Identifiers

PMID32094392
PMCPMC7039945
OpenAlexW3006691928

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.