Evidence map›Paper›PMID 24365862›Full record

Observational studyCritical care medicine2014

Sex- and diagnosis-dependent differences in mortality and admission cytokine levels among patients admitted for intensive care.

Christopher A Guidry, Brian R Swenson, Stephen W Davies, Lesly A Dossett, Kimberley A Popovsky, Hugo Bonatti, Heather L Evans, Rosemarie Metzger, Traci L Hedrick, Carlos A Tache-Léon and 5 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Sex Differences in Mortality of ICU Patients According to Diagnosis-related Sex Balance.American journal of respiratory and critical care medicine · 2022
    Article
  4. Article
  5. Article
  6. Pathological Responses of Cardiac Mitochondria to Burn Trauma.International journal of molecular sciences · 2020
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Gender-specific issues in traumatic injury and resuscitation: consensus-based recommendations for future research.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2014
    Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Christopher A Guidry1Department of Surgery, University of Virginia Health System, Charlottesville, VA. 2Department of Surgery, University of Minnesota, Minneapolis, MN. 3Department of Surgery, Vanderbilt University Medical Center, Nashville, TN. 4Department of Surgery, University of Washington, Seattle, WA. 5Department of Surgery, University of Alabama-Birmingham, Birmingham, AL. 6Department of Public Health Sciences, University of Virginia Health System, Charlottesville, VA.
Brian R Swenson
Stephen W Davies
Lesly A Dossett
Kimberley A Popovsky
Hugo Bonatti
Heather L Evans
Rosemarie Metzger
Traci L Hedrick
Carlos A Tache-Léon
Tjasa Hranjec
Irshad H Chaudry
Timothy L Pruett
Addison K May
Robert G Sawyer

Funding

Impact of Gender on Infected Hospitalized PatientsR01AI049989 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI SAWYER, ROBERT G · 2001 to 2006
$2.7M
Surgical Infectious Diseses and Transplantation Training GrantT32AI078875 · NIAID · UNIVERSITY OF VIRGINIA · PI SAWYER, ROBERT G · 2009 to 2013
$947k
Gender-Based Outcome Differences in Nosocomial PneumoniaF32AI051882 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI EVANS, HEATHER L · 2002 to 2003
$87k
NIAID NIH HHS F32 AI051882NIAID NIH HHS R01 AI049989NIAID NIH HHS R01 AI49989NIAID NIH HHS T32 AI078875
6 · The paper itself

Abstract

objectivesTo investigate the role of sex on cytokine expression and mortality in critically ill patients.

designA cohort of patients admitted to were enrolled and followed over a 5-year period.

settingTwo university-affiliated hospital surgical and trauma ICUs. PATIENTS: Patients 18 years old and older admitted for at least 48 hours to the surgical or trauma ICU.

interventionsObservation only. MEASUREMENTS AND MAIN

resultsMajor outcomes included admission cytokine levels, prevalence of ICU-acquired infection, and mortality during hospitalization conditioned on trauma status and sex. The final cohort included 2,291 patients (1,407 trauma and 884 nontrauma). The prevalence of ICU-acquired infection was similar for men (46.5%) and women (44.5%). All-cause in-hospital mortality was 12.7% for trauma male patient and 9.1% for trauma female patient (p = 0.065) and 22.9% for nontrauma male patients and 20.6% for nontrauma female patients (p = 0.40). Among trauma patients, logistic regression analysis identified female sex as protective for all-cause mortality (odds ratio, 0.57). Among trauma patients, men had significantly higher admission serum levels of interleukin-2, interleukin-12, interferon-γ, and tumor necrosis factor-α, and among nontrauma patients, men had higher admission levels of interleukin-8 and tumor necrosis factor-α.

conclusionsThe relationship between sex and outcomes in critically ill patients is complex and depends on underlying illness. Women appear to be better adapted to survive traumatic events, while sex may be less important in other forms of critical illness. The mechanisms accounting for this gender dimorphism may, in part, involve differential cytokine responses to injury, with men expressing a more robust proinflammatory profile.

Indexed as

Hospital MortalityAdultAgedAPACHECohort StudiesCritical IllnessCross InfectionCytokinesFemaleHospitalizationHospitals, UniversityHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedCytokines

Identifiers

PMID24365862
PMCPMC4714708

What OpenQuestion holds

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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.