Evidence map›Paper›PMID 31222960›Full record

ArticleESC heart failure2019

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

Kyosuke Yanagawa, Hitoshi Nakamura, Yutaka Matsuhiro, Koji Yasumoto, Keisuke Yasumura, Akihiro Tanaka, Yasuharu Matsunaga-Lee, Daisuke Nakamura, Masamichi Yano, Masaki Yamato and 5 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

15 authors at 2 institutions in 1 country.

Kyosuke YanagawaDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Hitoshi NakamuraDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Yutaka MatsuhiroDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Koji YasumotoDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Keisuke YasumuraDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Akihiro TanakaDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Yasuharu Matsunaga-LeeDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Daisuke NakamuraDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Masamichi YanoDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Masaki YamatoDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Yasuyuki EgamiDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Ryu ShuttaDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Yasushi SakataDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Masami NishinoDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Jun TanouchiDivision of Cardiology, Osaka Rosai Hospital, 1179-3, Nagasone-cho, Sakai-city, Osaka, 591-8025, Japan.
Osaka Rosai Hospital · JPThe University of Osaka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe factors correlated with prognosis in heart failure with mid-range ejection fraction (HFmrEF) is unclear, especially for acute heart failure (AHF) with HFmrEF. Thus, we investigated the factors correlated with the improvement in the ejection fraction (EF) over 1 year in AHF patients with HFmrEF. METHODS AND

resultsIn Acute Heart Failure Registry in the Osaka Rosai Hospital, we examined 159 consecutive HFmrEF patients out of 1051 HF patients who were admitted to our hospital for AHF from January 2015 to December 2017. We divided them into improved EF (IM) group whose EF improved (≧10%) and non-IM group who had no improvement. We compared the baseline characteristics, echocardiographic data, medications, examinations for ischaemia, invasive treatments, and clinical outcomes between IM group and non-IM group. IM group consisted of 21 patients (20%). IM group had a significantly more de novo heart failure, higher serum albumin (Alb), lower EF, smaller left ventricular dimension during diastole, more frequent coronary angiogram during hospitalization, and coronary intervention. Multivariate analysis revealed that Alb, left ventricular dimension during diastole, and coronary angiogram performed during hospitalization were independently associated with the improvement in the EF. In addition, IM group had less rehospitalizations over 1 year and a greater reduction in the B-type natriuretic peptide level during the follow-up than non-IM group.

conclusionsIn AHF patients with HFmrEF, we should evaluate for any ischaemic heart disease during hospitalization, especially in patients with non-enlarged left ventricular and non-reduced serum Alb. AHF patients with HFmrEF who showed improvement in the EF tended to have better prognosis than those without improvement.

Indexed as

Stroke VolumeAcute DiseaseAgedAged, 80 and overFemaleHeart FailureHeart Function TestsHumansJapanMalePrognosisRegistriesAcute heart failureHeart failure with mid-ranged ejection fractionOutcomesPrognosis

Identifiers

PMID31222960
PMCPMC6676285
OpenAlexW2952588258

What OpenQuestion holds

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LicenceCC BY-NC
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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.