Evidence map›Paper›PMID 28452909›Full record

ArticleShock (Augusta, Ga.)2017

Exploring the Predictive Ability of Dysfunctional High-Density Lipoprotein for Adverse Outcomes in Emergency Department Patients with Sepsis: A Preliminary Investigation.

Faheem W Guirgis, Sunita Dodani, Lyle Moldawer, Christiaan Leeuwenburgh, Jennifer Bowman, Colleen Kalynych, Alan E Jones, Srinivasa T Reddy, Frederick A Moore

Abstract read
In one paragraph

Article in Shock (Augusta, Ga.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. HDL and Sepsis.Advances in experimental medicine and biology · 2022
    Article
  5. Review
  6. Article
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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

9 authors at 5 institutions in 1 country.

Faheem W Guirgis*Department of Emergency Medicine, University of Florida College of Medicine, Jacksonville, Florida †Department of Family and Community Medicine, College of Medicine, Mayo Clinic, Jacksonville, Florida ‡Department of Surgery, University of Florida College of Medicine, Gainesville, Florida §Department of Aging and Geriatrics, University of Florida College of Medicine, Gainesville, Florida ||Department of Emergency Medicine, University of Mississippi College of Medicine, Jackson, Mississippi ¶Department of Medicine, Molecular, and Medical Pharmacology, UCLA School of Medicine, Los Angeles, California.
Sunita Dodani
Lyle Moldawer
Christiaan Leeuwenburgh
Jennifer Bowman
Colleen Kalynych
Alan E Jones
Srinivasa T Reddy
Frederick A Moore
Florida College · USUniversity of Florida · USMayo Clinic in Florida · USMississippi College · USUniversity of California, Los Angeles · US

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
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 of Dysfunctional HDL in SepsisK23GM115690 · NIGMS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W · 2016 to 2019
$699k
NCATS NIH HHS KL2 TR001429NIA NIH HHS P30 AG028740NIGMS NIH HHS K23 GM115690NIGMS NIH HHS P50 GM111152
6 · The paper itself

Abstract

backgroundHigh density lipoprotein (HDL) can be readily oxidized in inflammatory conditions and exhibit pro-inflammatory and dysfunctional (Dys-HDL) characteristics. We hypothesize that Dys-HDL may predict adverse outcomes and correlate with inflammatory cytokines in sepsis.

methodsEmergency department (ED) patients with sepsis were enrolled. Blood was drawn at enrollment and after 48 h. Dys-HDL, expressed as HDL inflammatory index (HII), and cytokines were measured. Multivariable logistic regression was used to determine the predictive ability of Dys-HDL for adverse outcomes (death, discharge to hospice, or nursing home).

resultsThirty-five patients were included in the study. HII was not significantly different at baseline or 48 h between patients with adverse outcomes versus those without. However, there was a significant difference in change in HII over the first 48 h between those with adverse outcomes (+0.21, 95% CI -0.13 to 0.31) versus those without (-0.11, 95% CI -1 to 0.11) (P = 0.025). Logistic regression revealed increasing HII to be an independent predictor of adverse outcomes (OR 5.2, 95% CI 1.1-25.1 P = 0.040). Of the 24 patents with cytokine measurements at both time points, significant inverse correlations between change in HII and change in GRO (rs = -0.52, P = 0.0088) and monocyte chemotactic protein-1 (rs = -0.61, P = 0.0014) concentrations over 48 h were observed.

conclusionIncreasing Dys-HDL concentrations in the first 48 h of sepsis are associated with an ongoing inflammatory response and adverse clinical outcomes. Early changes in HII may be a potential biomarker in ED patients admitted with sepsis.

Indexed as

BiomarkersChemokine CCL2Cholesterol, HDLEmergency Service, HospitalHumansLipoproteins, HDLLogistic ModelsOxidation-ReductionSepsisBiomarkersChemokine CCL2Cholesterol, HDLLipoproteins, HDL

Identifiers

PMID28452909
PMCPMC5643216
OpenAlexW2609841586

What OpenQuestion holds

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Read underepoch 390

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.