Evidence map›Paper›PMID 30212640›Full record

Observational studyAnnals of the American Thoracic Society2019

Paths into Sepsis: Trajectories of Presepsis Healthcare Use.

Hallie C Prescott, Alicia G Carmichael, Kenneth M Langa, Richard Gonzalez, Theodore J Iwashyna

Abstract readObservational Study
In one paragraph

Observational study in Annals of the American Thoracic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Understanding and Enhancing Sepsis Survivorship. Priorities for Research and Practice.American journal of respiratory and critical care medicine · 2019
    Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Hallie C Prescott1 Department of Internal Medicine and.ORCID 0000-0002-8442-6724
Alicia G Carmichael4 Institute for Social Research, Ann Arbor, Michigan.
Kenneth M Langa1 Department of Internal Medicine and.
Richard Gonzalez4 Institute for Social Research, Ann Arbor, Michigan.
Theodore J Iwashyna1 Department of Internal Medicine and.ORCID 0000-0002-4226-9310

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
General pathways and personalized risk of morbidity after sepsisK08GM115859 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PRESCOTT, HALLIE CHRISTINE · 2015 to 2018
$776k
6 · The paper itself

Abstract

rationaleSepsis is a leading cause of death and disability whose heterogeneity is often cited as a key impediment to translational progress.

objectivesTo test the hypothesis that there are consequential and significant differences in sepsis outcomes that result from differences in a patient's clinical course leading up to sepsis hospitalization.

methodsWe conducted an observational cohort study of U.S. Health and Retirement Study (HRS) participants in Medicare (1998-2012) and U.S. Department of Veterans Affairs beneficiaries (2009). Using latent profile analysis, we identified patient subtypes based on trajectory of presepsis healthcare facility use. Subtypes were identified in the derivation cohort (1,512 sepsis hospitalizations among earlier HRS participants), then validated them in two additional cohorts (1,992 sepsis hospitalizations among later HRS participants; 32,525 sepsis hospitalizations among U.S. Department of Veterans Affairs beneficiaries). We measured the association between presepsis path and 90-day mortality using chi-square tests and multivariable logistic regression.

resultsWe identified three subtypes: low use of inpatient healthcare facilities, comprising 84% of the derivation cohort; rising use, 12%; and high use, 4%. The shape and distribution of presepsis trajectories were similar in all three cohorts. In the derivation cohort, 90-day mortality differed by presepsis trajectory as follows: 38% (low use), 63% (rising use), and 48% (high use) (P < 0.001). This association persisted in the validation cohorts (P < 0.001 for each). The rising use class remained an independent predictor of mortality after adjustment for potential confounders, including detailed physiologic data.

conclusionsIn national cohorts of patients with sepsis, we have shown that several distinct paths into sepsis exist. These paths, identified by trajectories of presepsis healthcare use, are predictive of 90-day mortality.

Indexed as

Patient Outcome AssessmentAgedAged, 80 and overCluster AnalysisCohort StudiesFemaleHealth FacilitiesHospitalizationHumansLogistic ModelsMaleMedicareMortalityMultivariate AnalysisPatient Acceptance of Health CareSepsiscluster analysishospitalizationinfectionpatient outcomes assessment

Identifiers

PMID30212640
PMCPMC6344453

What OpenQuestion holds

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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.