Evidence map›Paper›PMID 35425904›Full record

ArticleCritical care explorations2022

Prognostic Accuracy of Presepsis and Intrasepsis Characteristics for Prediction of Cardiovascular Events After a Sepsis Hospitalization.

Allan J Walkey, Daniel B Knox, Laura C Myers, Khanh K Thai, Jason R Jacobs, Patricia Kipnis, Manisha Desai, Alan S Go, Yun Lu, Samuel M Brown and 4 more

Abstract read
In one paragraph

Article in Critical care explorations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

14 authors.

Allan J WalkeyThe Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA.
Daniel B KnoxDivision of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, UT.
Laura C MyersThe Permanente Medical Group, Oakland, CA.
Khanh K ThaiDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Jason R JacobsDivision of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, UT.
Patricia KipnisDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Manisha DesaiQuantitative Sciences Unit, Stanford University, Palo Alto, CA.
Alan S GoThe Permanente Medical Group, Oakland, CA.
Yun LuDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Samuel M BrownDivision of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, UT.
Adriana MartinezDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Heather ClancyDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Ycar DevisThe Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA.
Vincent X LiuThe Permanente Medical Group, Oakland, CA.

Funding

Targeting cardiovascular events to improve patient outcomes after sepsisR01HL139751 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2018 to 2021
$2.8M
NHLBI NIH HHS R01 HL139751
6 · The paper itself

Abstract

objectivesSepsis survivors face increased risk for cardiovascular complications; however, the contribution of intrasepsis events to cardiovascular risk profiles is unclear.

settingKaiser Permanente Northern California (KPNC) and Intermountain Healthcare (IH) integrated healthcare delivery systems. SUBJECTS: Sepsis survivors (2011-2017 [KPNC] and 2018-2020 [IH]) greater than or equal to 40 years old without prior cardiovascular disease.

designData across KPNC and IH were harmonized and grouped into presepsis (demographics, atherosclerotic cardiovascular disease scores, comorbidities) or intrasepsis factors (e.g., laboratory values, vital signs, organ support, infection source) with random split for training/internal validation datasets (75%/25%) within KPNC and IH. Models were bidirectionally, externally validated between healthcare systems.

interventionsNone. MEASUREMENTS AND MAIN

resultsChanges to predictive accuracy (

conclusionsAcross two large healthcare systems, intrasepsis factors improved postsepsis cardiovascular risk prediction as compared with presepsis cardiovascular risk profiles. Further exploration of sepsis factors that contribute to postsepsis cardiovascular events is warranted for improved mechanistic and predictive models.

Indexed as

bioinformaticscardiovascular eventsmissing datasepsis

Identifiers

PMID35425904
PMCPMC9000037

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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.