Evidence map›Paper›PMID 27906868›Full record

ArticleThe journal of trauma and acute care surgery2017

Individual clotting factor contributions to mortality following trauma.

Ryan C Kunitake, Benjamin M Howard, Lucy Z Kornblith, Sabrinah A Christie, Amanda S Conroy, Mitchell J Cohen, Rachael A Callcut

Open access · greenAbstract read
In one paragraph

Article in The journal of trauma and acute care surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 28 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

7 authors at 1 institution in 1 country.

Ryan C KunitakeFrom the Department of Surgery, University of California, San Francisco, San Francisco, California (R.C.K., B.M.H., L.Z.K., S.A.C., A.S.C., M.J.C., R.A.C.); and Department of Surgery, Zuckerberg San Francisco General Hospital, San Francisco, California (R.C.K., B.M.H., L.Z.K., S.A.C., A.S.C., M.J.C., R.A.C.).
Benjamin M Howard
Lucy Z Kornblith
Sabrinah A Christie
Amanda S Conroy
Mitchell J Cohen
Rachael A Callcut
San Francisco General Hospital · US

Funding

Analysis and Characterization of Trauma-Induced CoagulopathyUM1HL120877 · NHLBI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI MORRISSEY, JAMES H., WISNIEWSKI, STEPHEN R · 2013 to 2019
$26.6M
Advancing Outcome Metrics in Trauma Surgery Through Utilization of Big DataK01ES026834 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CALLCUT, RACHAEL A · 2015 to 2018
$889k
Clinical and Transtional Science InstituteTL1TR000144 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$643k
NCATS NIH HHS TL1 TR000144NHLBI NIH HHS UM1 HL120877NIEHS NIH HHS K01 ES026834
6 · The paper itself

Abstract

backgroundAcute traumatic coagulopathy affects 20% to 30% of trauma patients, but the extensive collinearity of the coagulation cascade complicates attempts to clarify global clotting factor dysfunction. This study aimed to characterize phenotypes of clotting factor dysfunction and their contributions to mortality after major trauma.

methodsThis prospective cohort study examines all adult trauma patients of the highest activation level presenting to San Francisco General Hospital between February 2005 and February 2015. Factors II, V, VII, VIII, IX, and X and protein C activity on admission and mortality status at 28 days were assessed. Predictors of 28-day mortality in univariate analysis were included in multiple logistic regression controlling for traumatic brain injury (TBI), acidosis, age, and mechanism of injury. Principal component analysis was utilized to identify phenotypic coagulation.

resultsComplete coagulation factor data were available for 876 (61%) of 1,429 patients. In multiple logistic regression, factors V (odds ratio [OR], 0.86; 95% confidence interval [CI], 0.76-0.97), VIII (OR, 0.97; 95% CI, 0.95-0.99), and X (OR, 0.79; 95% CI, 0.68-0.92) and protein C (OR, 1.17; 95% CI, 1.05-1.30) significantly predicted 28-day mortality after controlling for age, base deficit, mechanism of injury, and TBI. Principal component analysis identified two significant principal components (Phenotypes 1 and 2) that accounted for 66.3% of the total variance. Phenotype 1 (factors II, VII, IX, and X and protein C abnormalities) explained 49.3% and was associated with increased injury, coagulopathy, TBI, and mortality. Phenotype 2 (factors V and VIII abnormalities) explained 17.0% and was associated with increased coagulopathy, blunt injury, and mortality. Only Phenotype 2 remained significantly associated with 28-day mortality in multiple logistic regression.

conclusionsPrincipal component analysis identified two distinct phenotypes within the entirety of global clotting factor abnormalities, and these findings substantiate the crucial association of factors V and VIII on mortality following trauma. This may be the first step toward identifying unique phenotypes after injury and personalizing hemostatic resuscitation. LEVEL OF EVIDENCE: Prognostic study, level III.

Indexed as

AdultBlood Coagulation DisordersBlood Coagulation FactorsBlood Coagulation TestsFemaleHospital MortalityHumansInjury Severity ScoreMalePhenotypePrincipal Component AnalysisProspective StudiesSan FranciscoWounds and InjuriesBlood Coagulation Factors

Identifiers

PMID27906868
PMCPMC5472335
OpenAlexW2557947618

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.