Evidence map›Paper›PMID 34552188›Full record

ArticleScientific reports2021

Clinical impact of visually assessed right ventricular dysfunction in patients with septic shock.

Hiroaki Hiraiwa, Daisuke Kasugai, Masayuki Ozaki, Yukari Goto, Naruhiro Jingushi, Michiko Higashi, Kazuki Nishida, Toru Kondo, Kenji Furusawa, Ryota Morimoto and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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  14. Right Ventricular Dysfunction Score in the Prognostic Evaluation of Patients with Sepsis and Septic Shock.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine
    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

14 authors at 1 institution in 1 country.

Hiroaki HiraiwaDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Daisuke KasugaiDepartment of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan. dkasugai@med.nagoya-u.ac.jp.
Masayuki OzakiDepartment of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yukari GotoDepartment of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Naruhiro JingushiDepartment of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Michiko HigashiDepartment of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kazuki NishidaDepartment of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Toru KondoDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kenji FurusawaDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Ryota MorimotoDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Takahiro OkumuraDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Naoyuki MatsudaDepartment of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shigeyuki MatsuiDepartment of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Toyoaki MuroharaDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We retrospectively analyzed data from the Medical Information Mart for Intensive Care-III critical care database to determine whether visually-assessed right ventricular (RV) dysfunction was associated with clinical outcomes in septic shock patients. Associations between visually-assessed RV dysfunction by echocardiography and in-hospital mortality, lethal arrhythmia, and hemodynamic indicators to determine the prognostic value of RV dysfunction in patients with septic shock were analyzed. Propensity score analysis showed RV dysfunction was associated with increased risk of in-hospital death in patients with septic shock (adjusted odds ratio [OR] 2.15; 95% confidence interval [CI] 1.99-2.32; P < 0.001). In multivariate logistic regression analysis, RV dysfunction was associated with in-hospital death (OR 2.19; 95% CI 1.91-2.53; P < 0.001), lethal arrhythmia (OR 2.19; 95% CI 1.34-3.57; P < 0.001), and tendency for increased blood lactate levels (OR 1.31; 95% CI 1.14-1.50; P < 0.001) independent of left ventricular (LV) dysfunction. RV dysfunction was associated with lower cardiac output, pulmonary artery pressure index, and RV stroke work index. In patients with septic shock, visually-assessed RV dysfunction was associated with in-hospital mortality, lethal arrhythmia, and circulatory insufficiency independent of LV dysfunction. Visual assessment of RV dysfunction using echocardiography might help to identify the short-term prognosis of patients with septic shock by reflecting hemodynamic status.

Indexed as

AgedEchocardiographyFemaleHemodynamicsHospital MortalityHumansLactic AcidLogistic ModelsMaleMiddle AgedPrognosisPropensity ScoreRetrospective StudiesRisk FactorsShock, SepticTreatment OutcomeLactic Acid

Identifiers

PMID34552188
PMCPMC8458318
OpenAlexW3133635871

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.