Evidence map›Paper›PMID 31281865›Full record

ArticleOpen forum infectious diseases2019

Prospective Observational Study Comparing Sepsis-2 and Sepsis-3 Definitions in Predicting Mortality in Critically Ill Patients.

Debra D Poutsiaka, Maura C Porto, Whitney A Perry, Jana Hudcova, David J Tybor, Susan Hadley, Shira Doron, John A Reich, David R Snydman, Stanley A Nasraway

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2019. 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
2.2field-weighted citation impact, top 12% 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, 21 citations in OpenAlex.

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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 3 institutions in 1 country.

Debra D PoutsiakaDivision of Geographic Medicine and Infectious Diseases Tufts Medical Center, Boston, Massachusetts.ORCID 0000-0002-7867-393X
Maura C PortoDivision of Geographic Medicine and Infectious Diseases Tufts Medical Center, Boston, Massachusetts.
Whitney A PerryDepartment of Medicine, Tufts Medical Center, Boston, Massachusetts.
Jana HudcovaDepartment of Surgical Critical Care, Lahey Hospital and Medical Center, Burlington, Massachusetts.
David J TyborDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts.
Susan HadleyDivision of Geographic Medicine and Infectious Diseases Tufts Medical Center, Boston, Massachusetts.
Shira DoronDivision of Geographic Medicine and Infectious Diseases Tufts Medical Center, Boston, Massachusetts.ORCID 0000-0001-9139-0857
John A ReichDepartment of Anesthesia and Perioperative Medicine, Tufts Medical Center, Boston, Massachusetts.
David R SnydmanDivision of Geographic Medicine and Infectious Diseases Tufts Medical Center, Boston, Massachusetts.
Stanley A NasrawayDepartment of Surgery, Tufts Medical Center, Boston, Massachusetts.
Tufts Medical Center · USLahey Hospital and Medical Center · USTufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis definitions have evolved, but there is a lack of consensus over adoption of the most recent definition, Sepsis-3. We sought to compare Sepsis-2 and Sepsis-3 in the classification of patients with sepsis and mortality risk at 30 days.

methodsWe used the following definitions: Sepsis-2 (≥2 systemic inflammatory response syndrome criteria + infection), Sepsis-3 (prescreening by quick Sequential Organ Failure Assessment [qSOFA] of ≥2 of 3 criteria followed by the complete score change ≥2 + infection), and an amended Sepsis-3 definition, iqSOFA (qSOFA ≥2 + infection). We used χ

resultsWe enrolled 176 patients (95% in an intensive care unit, 38.6% female, median age 61.4 years). Of 105 patients classified by Sepsis-2 as having sepsis, 80 had sepsis per Sepsis-3 or iqSOFA (kappa = 0.72; 95% confidence interval [CI], 0.62-0.82). Twenty-five (14.8%) died (20 of 100 with sepsis per Sepsis-2 [20%], and 20 of 77 [26.0%] with sepsis per Sepsis-3 or iqSOFA). Results for Sepsis-3 and iqSOFA were identical. The area under the curve of receiver-operator characteristic (ROC) curves for identifying those who died were 0.54 (95% CI, 0.41-0.68) for Sepsis-2, 0.84 (95% CI, 0.74-0.93) for Sepsis-3, and 0.69 (95% CI, 0.60-0.79) for iqSOFA (

conclusionsSepsis-3 and iqSOFA were better at predicting death than Sepsis-2. Using the SOFA score might add little advantage compared with the simpler iqSOFA score.

Indexed as

mortalitysepsisSepsis-2SIRSSOFA

Identifiers

PMID31281865
PMCPMC6602380
OpenAlexW2953629473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.