Evidence map›Paper›PMID 30829670›Full record

ArticleAnesthesia and analgesia2019

Culture-Negative and Culture-Positive Sepsis: A Comparison of Characteristics and Outcomes.

Matthew J G Sigakis, Elizabeth Jewell, Michael D Maile, Sandro K Cinti, Brian T Bateman, Milo Engoren

Abstract readComparative Study
In one paragraph

Article in Anesthesia and analgesia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
–field-weighted citation impact
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

62 citing papers in PubMed.

  1. The headband that held in the brain: illustrative case.Journal of neurosurgery. Case lessons · 2026
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  18. Research progress on human adenovirus sepsis.Frontiers in pediatrics · 2025
    Review
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2 more citing papers are in PubMed but not listed here.

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

6 authors.

Matthew J G SigakisFrom the Division of Critical Care Medicine, Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan.
Elizabeth JewellFrom the Division of Critical Care Medicine, Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan.
Michael D MaileFrom the Division of Critical Care Medicine, Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan.
Sandro K CintiDivision of Infectious Disease, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Brian T BatemanDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Milo EngorenFrom the Division of Critical Care Medicine, Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan.

Funding

Institutional Career Development CoreKL2TR002241 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELLINGROD, VICKI L · 2017 to 2021
$6.9M
NCATS NIH HHS KL2 TR002241
6 · The paper itself

Abstract

backgroundThe primary objective of this study was to compare the characteristics of culture-positive and culture-negative status in septic patients. We also determined whether culture status is associated with mortality and whether unique variables are associated with mortality in culture-positive and culture-negative patients separately.

methodsUtilizing patient records from intensive care units, emergency department, and general care wards in a large academic medical center, we identified adult patients with suspected infection and ≥2 systemic inflammatory response syndrome criteria between January 1, 2007, and May 31, 2014. We compared the characteristics between culture-positive and culture-negative patients and used binary logistic regression to identify variables independently associated with culture status and mortality. We also did sensitivity analyses using patients with Sequential Organ Failure Assessment and quick Sequential Organ Failure Assessment criteria for sepsis.

resultsThe study population included 9288 culture-negative patients (89%) and 1105 culture-positive patients (11%). Culture-negative patients received more antibiotics during the 48 hours preceding diagnosis but otherwise demonstrated similar characteristics as culture-positive patients. After adjusting for illness severity, a positive culture was not independently associated with mortality (odds ratio = 1.01 [95% CI, 0.81-1.26]; P = .945). The models predicting mortality separately in culture-negative and culture-positive patients demonstrated very good and excellent discrimination (C-statistic ± SD, 0.87 ± 0.01 and 0.92 ± 0.01), respectively. In the sensitivity analyses using patients with sepsis by Sequential Organ Failure Assessment and quick Sequential Organ Failure Assessment criteria, after adjustments for illness severity, positive cultures were still not associated with mortality (odds ratio = 1.13 [95% CI, 0.86-1.43]; P = .303; and odds ratio = 1.05 [95% CI, 0.83-1.33]; P = .665), respectively. In all models, physiological derangements were associated with mortality.

conclusionsWhile culture status is important for tailoring antibiotics, culture-negative and culture-positive patients with sepsis demonstrate similar characteristics and, after adjusting for severity of illness, similar mortality. The most important factor associated with negative cultures is receipt of antibiotics during the preceding 48 hours. The risk of death in patients suspected of having an infection is most associated with severity of illness. This is aligned with the Sepsis-3 definition using Sequential Organ Failure Assessment score to better identify those suspected of infection at highest risk of a poor outcome.

Indexed as

AdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedOrgan Dysfunction ScoresSepsisShock, Septic

Identifiers

PMID30829670
PMCPMC7577261

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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.