Evidence map›Paper›PMID 31905270›Full record

ArticleESC heart failure2020

Sequential organ failure assessment score on admission predicts long-term mortality in acute heart failure patients.

Daisetsu Aoyama, Tetsuji Morishita, Hiroyasu Uzui, Shinsuke Miyazaki, Kentaro Ishida, Kenichi Kaseno, Kanae Hasegawa, Yoshitomo Fukuoka, Naoto Tama, Hiroyuki Ikeda and 2 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

12 authors at 1 institution in 1 country.

Daisetsu AoyamaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.ORCID 0000-0002-9175-4881
Tetsuji MorishitaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Hiroyasu UzuiDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Shinsuke MiyazakiDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Kentaro IshidaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Kenichi KasenoDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Kanae HasegawaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Yoshitomo FukuokaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Naoto TamaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Hiroyuki IkedaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Yuichiro ShiomiDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Hiroshi TadaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
University of Fukui · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe sequential organ failure assessment (SOFA) score has been a widely used predictor of outcomes in the intensive care unit, whereas short-term and long-term survivals of heart failure (HF) patients are predicted by the American Heart Association Get With the Guidelines-Heart Failure (GWTG-HF) risk score. The purpose of present study was to examine whether the SOFA score on admission is more useful for predicting long-term mortality in acute HF patients than the GWTG-HF risk score. METHODS AND

resultsA total of 269 patients (mean age, 78.5 ± 10.9 years; all-cause mortality, 53.9%) seen in a single facility from January 2007 to December 2016 were enrolled retrospectively. They were followed up for a mean of 32.1 ± 22.3 months. All-cause death was associated with higher SOFA and GWTG-HF risk scores. However, no significant difference was observed in the area under the curve value between the scores. Kaplan-Meier survival analysis indicated that higher SOFA scores (P < 0.001) and GWTG-HF risk scores (P < 0.001) were related to increased probabilities of all-cause death. On multivariate Cox proportional hazard model analysis, the SOFA score (P < 0.001) and GWTG-HF (P < 0.001) score were independent predictors of all-cause death. Incorporating the SOFA score into the GWTG-HF risk score yielded a significant net reclassification improvement and integrated discrimination improvement. On decision curve analysis, the net benefit of the SOFA score model when compared with the reference model was greater across the range of threshold probabilities.

conclusionsIn acute HF patients, long-term all-cause mortality can be predicted by the SOFA score. Discriminative performance metrics, such as net reclassification improvement, integrated discrimination improvement, and decision curve analysis, for predicting mortality were improved when the SOFA score was incorporated.

Indexed as

Acute DiseaseAgedAged, 80 and overCause of DeathFemaleFollow-Up StudiesHeart FailureHospital MortalityHumansJapanMaleMultiple Organ FailureOrgan Dysfunction ScoresPatient AdmissionPrognosisRetrospective StudiesGWTG-HF risk scoreHeart failureLong-term mortalitySOFA score

Identifiers

PMID31905270
PMCPMC7083430
OpenAlexW2997258662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.