Evidence map›Paper›PMID 30165769›Full record

ArticleJournal of intensive care medicine2020

Sequential Organ Failure Assessment Component Score Prediction of In-hospital Mortality From Sepsis.

Tushar Gupta, Michael A Puskarich, Elizabeth DeVos, Adnan Javed, Carmen Smotherman, Sarah A Sterling, Henry E Wang, Frederick A Moore, Alan E Jones, Faheem W Guirgis

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of intensive care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

29 citing papers in PubMed, 53 citations in OpenAlex.

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  18. Prognostic Accuracy of SpOThe western journal of emergency medicine · 2023
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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

10 authors at 4 institutions in 1 country.

Tushar GuptaDepartment of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA.
Michael A PuskarichDepartment of Emergency Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
Elizabeth DeVosDepartment of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA.
Adnan JavedDepartment of Emergency Medicine, University of Massachusetts, Boston, MA, USA.
Carmen SmothermanCenter for Health Equity and Quality Research, University of Florida College of Medicine, Jacksonville, FL, USA.
Sarah A SterlingDepartment of Emergency Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
Henry E WangDepartment of Emergency Medicine, University of Texas, Austin, TX, USA.
Frederick A MooreDepartment of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.
Alan E JonesDepartment of Emergency Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
Faheem W GuirgisDepartment of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA.ORCID https://orcid.org/0000-0002-4445-3939
University of Florida · USJackson Memorial Hospital · USThe University of Texas at Austin · USUniversity of Massachusetts Boston · US

Funding

The Role of Dysfunctional HDL in SepsisK23GM115690 · NIGMS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W · 2016 to 2019
$699k
NIGMS NIH HHS K23 GM115690
6 · The paper itself

Abstract

objectivesEarly organ dysfunction in sepsis confers a high risk of in-hospital mortality, but the relative contribution of specific types of organ failure to overall mortality is unclear. The objective of this study was to assess the predictive ability of individual types of organ failure to in-hospital mortality or prolonged intensive care.

methodsRetrospective cohort study of adult emergency department patients with sepsis from October 1, 2013, to November 10, 2015. Multivariable regression was used to assess the odds ratios of individual organ failure types for the outcomes of in-hospital death (primary) and in-hospital death or ICU stay ≥ 3 days (secondary).

resultsOf 2796 patients, 283 (10%) experienced in-hospital mortality, and 748 (27%) experienced in-hospital mortality or an ICU stay ≥ 3 days. The following components of Sequential Organ Failure Assessment (SOFA) score were most predictive of in-hospital mortality (descending order): coagulation (odds ratio [OR]: 1.60, 95% confidence interval [CI]: 1.32-1.93), hepatic (1.58, 95% CI: 1.32-1.90), respiratory (OR: 1.33, 95% CI: 1.21-1.47), neurologic (OR: 1.20, 95% CI: 1.07-1.35), renal (OR: 1.14, 95% CI: 1.02-1.27), and cardiovascular (OR: 1.13, 95% CI: 1.01-1.25). For mortality or ICU stay ≥3 days, the most predictive SOFA components were respiratory (OR: 1.97, 95% CI: 1.79-2.16), neurologic (OR: 1.72, 95% CI: 1.54-1.92), cardiovascular (OR: 1.38, 95% CI: 1.23-1.54), coagulation (OR: 1.31, 95% CI: 1.10-1.55), and renal (OR: 1.19, 95% CI: 1.08-1.30) while hepatic SOFA (OR: 1.16, 95% CI: 0.98-1.37) did not reach statistical significance (

conclusionIn this retrospective study, SOFA score components demonstrated varying predictive abilities for mortality in sepsis. Elevated coagulation or hepatic SOFA scores were most predictive of in-hospital death, while an elevated respiratory SOFA was most predictive of death or ICU stay >3 days.

Indexed as

Hospital MortalityOrgan Dysfunction ScoresCritical Care OutcomesFemaleHumansIntensive Care UnitsMaleMiddle AgedMultiple Organ FailureOdds RatioPredictive Value of TestsRetrospective StudiesSepsisorgan failuresepsisseptic shock

Identifiers

PMID30165769
PMCPMC6669100
OpenAlexW2889469085

What OpenQuestion holds

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LicenceTDM
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.