Evidence map›Paper›PMID 27316558›Full record

ArticleChest2016

Risk Factors for In-Hospital Mortality in Smoke Inhalation-Associated Acute Lung Injury: Data From 68 United States Hospitals.

Sameer S Kadri, Andrew C Miller, Samuel Hohmann, Stephanie Bonne, Carrie Nielsen, Carmen Wells, Courtney Gruver, Sadeq A Quraishi, Junfeng Sun, Rongman Cai and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Chest, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. A comparative study of a preclinical survival model of smoke inhalation injury in mice and rats.American journal of physiology. Lung cellular and molecular physiology · 2020
    Article
  7. Emerging therapies for smoke inhalation injury: a review.Journal of translational medicine · 2020
    Review
  8. Article
  9. Article
  10. Article
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  12. Observational
  13. 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

16 authors at 6 institutions in 1 country.

Sameer S KadriCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD; Department of Medicine, Massachusetts General Hospital, Boston, MA. Electronic address: sameer.kadri@nih.gov.
Andrew C MillerCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD; Department of Emergency Medicine, West Virginia University, Morgantown, WV.
Samuel HohmannUniversity HealthSystem Consortium, Chicago, IL; Department of Health Systems Management, Rush University, Chicago, IL.
Stephanie BonneDepartment of Surgery, Washington University School of Medicine, St. Louis, MO.
Carrie NielsenNorth Carolina Jaycee Burn Center, University of North Carolina Hospital, Chapel Hill, NC.
Carmen WellsDepartment of General Surgery, Wake Forest Medical Center, Wake Forest School of Medicine, Winston-Salem, NC.
Courtney GruverDepartment of General Surgery, Wake Forest Medical Center, Wake Forest School of Medicine, Winston-Salem, NC.
Sadeq A QuraishiDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA; Department of Anesthesia, Harvard Medical School, Boston, MA.
Junfeng SunCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD.
Rongman CaiCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD.
Peter E MorrisDivision of Pulmonary and Critical Care Medicine, Wake Forest Medical Center, Wake Forest School of Medicine, Winston-Salem, NC.
Bradley D FreemanDepartment of Surgery, Washington University School of Medicine, St. Louis, MO.
James H HolmesDepartment of General Surgery, Wake Forest Medical Center, Wake Forest School of Medicine, Winston-Salem, NC.
Bruce A CairnsNorth Carolina Jaycee Burn Center, University of North Carolina Hospital, Chapel Hill, NC.
Anthony F SuffrediniCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD.
US Critical Illness and Injury Trials Group: Smoke Inhalation-associated Acute Lung Injury (SI-ALI) Investigators (USCIIT-SI-ALI)
National Institutes of Health Clinical Center · USWake Forest University · USUniversity of North Carolina Hospitals · USWashington University in St. Louis · USHarvard University · USRush University · US

Funding

Big Data - Epidemiology of Critical Illness and SepsisZIACL090045 · CLC · CLINICAL CENTER · PI KADRI, SAMEER · 2017 to 2025
$0k
6 · The paper itself

Abstract

backgroundMortality after smoke inhalation-associated acute lung injury (SI-ALI) remains substantial. Age and burn surface area are risk factors of mortality, whereas the impact of patient- and center-level variables and treatments on survival are unknown.

methodsWe performed a retrospective cohort study of burn and non-burn centers at 68 US academic medical centers between 2011 and 2014. Adult inpatients with SI-ALI were identified using an algorithm based on a billing code for respiratory conditions from smoke inhalation who were mechanically ventilated by hospital day 4, with either a length-of-stay ≥ 5 days or death within 4 days of hospitalization. Predictors of in-hospital mortality were identified using logistic regression. The primary outcome was the odds ratio for in-hospital mortality.

resultsA total of 769 patients (52.9 ± 18.1 years) with SI-ALI were analyzed. In-hospital mortality was 26% in the SI-ALI cohort and 50% in patients with ≥ 20% surface burns. In addition to age > 60 years (OR 5.1, 95% CI 2.53-10.26) and ≥ 20% burns (OR 8.7, 95% CI 4.55-16.75), additional risk factors of in-hospital mortality included initial vasopressor use (OR 5.0, 95% CI 3.16-7.91), higher diagnostic-related group-based risk-of-mortality assignment and lower hospital bed capacity (OR 2.3, 95% CI 1.23-4.15). Initial empiric antibiotics (OR 0.93, 95% CI 0.58-1.49) did not impact survival. These new risk factors improved mortality prediction by 9.9% (P < .001).

conclusionsIn addition to older age and major surface burns, mortality in SI-ALI is predicted by initial vasopressor use, higher diagnostic-related group-based risk-of-mortality assignment, and care at centers with < 500 beds, but not by initial antibiotic therapy.

Indexed as

Hospital MortalityAcademic Medical CentersAcute Lung InjuryAdultAgedAlgorithmsFemaleHumansMaleMiddle AgedRespiration, ArtificialRetrospective StudiesRisk FactorsSmoke Inhalation InjurySurvival AnalysisUnited Statesadult respiratory distress syndromeburnsepidemiologyrisk factorssmoke inhalation

Identifiers

PMID27316558
PMCPMC5310127
OpenAlexW2420826700

What OpenQuestion holds

Textmetadata
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.