Evidence map›Paper›PMID 34535154›Full record

ArticleCritical care (London, England)2021

A hypolipoprotein sepsis phenotype indicates reduced lipoprotein antioxidant capacity, increased endothelial dysfunction and organ failure, and worse clinical outcomes.

Faheem W Guirgis, Lauren Page Black, Morgan Henson, Guillaume Labilloy, Carmen Smotherman, Charlotte Hopson, Ian Tfirn, Elizabeth L DeVos, Christiaan Leeuwenburgh, Lyle Moldawer and 8 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 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

18 authors at 2 institutions in 1 country.

Faheem W GuirgisDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, 655 West 8th Street, Jacksonville, FL, 32209, USA. Faheem.Guirgis@jax.ufl.edu.ORCID 0000-0002-4445-3939
Lauren Page BlackDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, 655 West 8th Street, Jacksonville, FL, 32209, USA.
Morgan HensonDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, 655 West 8th Street, Jacksonville, FL, 32209, USA.
Guillaume LabilloyCenter for Data Solutions, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Carmen SmothermanCenter for Data Solutions, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Charlotte HopsonCenter for Data Solutions, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Ian TfirnCenter for Data Solutions, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Elizabeth L DeVosDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, 655 West 8th Street, Jacksonville, FL, 32209, USA.
Christiaan LeeuwenburghDepartment of Aging and Geriatric Research, University of Florida College of Medicine, Gainesville, FL, USA.
Lyle MoldawerDepartment of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.
Susmita DattaDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Todd M BruskoDepartment of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, College of Medicine, Gainesville, FL, USA.
Alexis HesterDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, 655 West 8th Street, Jacksonville, FL, 32209, USA.
Andrew BertrandDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, 655 West 8th Street, Jacksonville, FL, 32209, USA.
Victor GrijalvaDivision of Cardiology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Alexander Arango-EsterhayDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, 655 West 8th Street, Jacksonville, FL, 32209, USA.
Frederick A MooreDepartment of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.
Srinivasa T ReddyDivision of Cardiology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
University of Florida · USUniversity of California, Los Angeles · US

Funding

Project 3P01AI042288 · NIAID · UNIVERSITY OF FLORIDA · PI Todd Michael Brusko · 1997 to 2026
$32.9M
PICS: A New Horizon for Surgical Critical CareP50GM111152 · NIGMS · UNIVERSITY OF FLORIDA · PI MOORE, FREDERICK A · 2014 to 2018
$10.7M
Together: Transforming and Translating Discovery to Improve HealthKL2TR001429 · NCATS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W, LEEUWENBURGH, CHRISTIAAN · 2015 to 2023
$5.5M
The Role and Mechanisms of Lipid and Lipoprotein Dysregulation in SepsisR01GM133815 · NIGMS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W · 2020 to 2024
$2.5M
Supplement to Informing the Emergency Care of Septic Shock Patients A Novel Application of Data-Driven AnalyticsK23GM144802 · NIGMS · UNIVERSITY OF FLORIDA · PI BLACK, LAUREN PAGE · 2021 to 2025
$770k
The Role of Dysfunctional HDL in SepsisK23GM115690 · NIGMS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W · 2016 to 2019
$699k
National Institute of Allergy and Infectious Diseases P01AI042288NCATS NIH HHS KL2 TR001429NCATS NIH HHS KL2TR001429NCATS NIH HHS L30 TR003473NIAID NIH HHS P01 AI042288NIGMS NIH HHS K23 GM115690NIGMS NIH HHS K23GM115690NIGMS NIH HHS K23 GM144802NIGMS NIH HHS P50 GM111152NIGMS NIH HHS P50GM111152NIGMS NIH HHS R01 GM133815NIGMS NIH HHS R01GM133815
6 · The paper itself

Abstract

objectiveApproximately one-third of sepsis patients experience poor outcomes including chronic critical illness (CCI, intensive care unit (ICU) stay > 14 days) or early death (in-hospital death within 14 days). We sought to characterize lipoprotein predictive ability for poor outcomes and contribution to sepsis heterogeneity.

designProspective cohort study with independent replication cohort.

settingEmergency department and surgical ICU at two hospitals. PATIENTS: Sepsis patients presenting within 24 h.

methodsMeasures included cholesterol levels (total cholesterol, high density lipoprotein cholesterol [HDL-C], low density lipoprotein cholesterol [LDL-C]), triglycerides, paraoxonase-1 (PON-1), and apolipoprotein A-I (Apo A-I) in the first 24 h. Inflammatory and endothelial markers, and sequential organ failure assessment (SOFA) scores were also measured. LASSO selection assessed predictive ability for outcomes. Unsupervised clustering was used to investigate the contribution of lipid variation to sepsis heterogeneity. MEASUREMENTS AND MAIN

results172 patients were enrolled. Most (~ 67%, 114/172) rapidly recovered, while ~ 23% (41/172) developed CCI, and ~ 10% (17/172) had early death. ApoA-I, LDL-C, mechanical ventilation, vasopressor use, and Charlson Comorbidity Score were significant predictors of CCI/early death in LASSO models. Unsupervised clustering yielded two discernible phenotypes. The Hypolipoprotein phenotype was characterized by lower lipoprotein levels, increased endothelial dysfunction (ICAM-1), higher SOFA scores, and worse clinical outcomes (45% rapid recovery, 40% CCI, 16% early death; 28-day mortality, 21%). The Normolipoprotein cluster patients had higher cholesterol levels, less endothelial dysfunction, lower SOFA scores and better outcomes (79% rapid recovery, 15% CCI, 6% early death; 28-day mortality, 15%). Phenotypes were validated in an independent replication cohort (N = 86) with greater sepsis severity, which similarly demonstrated lower HDL-C, ApoA-I, and higher ICAM-1 in the Hypolipoprotein cluster and worse outcomes (46% rapid recovery, 23% CCI, 31% early death; 28-day mortality, 42%). Normolipoprotein patients in the replication cohort had better outcomes (55% rapid recovery, 32% CCI, 13% early death; 28-day mortality, 28%) Top features for cluster discrimination were HDL-C, ApoA-I, total SOFA score, total cholesterol level, and ICAM-1.

conclusionsLipoproteins predicted poor sepsis outcomes. A Hypolipoprotein sepsis phenotype was identified and characterized by lower lipoprotein levels, increased endothelial dysfunction (ICAM-1) and organ failure, and worse clinical outcomes.

Indexed as

AgedAntioxidantsBiomarkersCohort StudiesFemaleHumansHypolipoproteinemiasIntensive Care UnitsLipoproteinsLongitudinal StudiesMaleMiddle AgedMultiple Organ FailureOrgan Dysfunction ScoresOutcome Assessment, Health CarePhenotypeAntioxidantsBiomarkersLipoproteinsInflammationLipidsLipoproteinQuality of lifeSepsisShock

Identifiers

PMID34535154
PMCPMC8447561
OpenAlexW3199724445

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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.