Evidence map›Paper›PMID 39853364›Full record

Observational studyEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2025

D-dimer cutoff values for predicting functional prognosis in patients with severe head trauma: a multi-centre prospective observational study.

Takahiro Onuki, Shinji Nakahara, Yasufumi Miyake, Tetsuya Sakamoto, Naoto Morimura

Abstract readMulticenter StudyObservational Study
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In one paragraph

Observational study in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Takahiro OnukiDepartment of Emergency Medicine, Teikyo University of Medicine, 2- 11-1 Kaga, Itabashi-ku, Tokyo, 173-8606, Japan. kemono@med.teikyo-u.ac.jp.
Shinji NakaharaDepartment of Emergency Medicine, Teikyo University of Medicine, 2- 11-1 Kaga, Itabashi-ku, Tokyo, 173-8606, Japan.
Yasufumi MiyakeDepartment of Emergency Medicine, Teikyo University of Medicine, 2- 11-1 Kaga, Itabashi-ku, Tokyo, 173-8606, Japan.
Tetsuya SakamotoDepartment of Emergency Medicine, Teikyo University of Medicine, 2- 11-1 Kaga, Itabashi-ku, Tokyo, 173-8606, Japan.
Naoto MorimuraDepartment of Emergency Medicine, Teikyo University of Medicine, 2- 11-1 Kaga, Itabashi-ku, Tokyo, 173-8606, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeD-dimer, a fibrinolysis indicator, may predict functional and life outcomes in traumatic brain injury (TBI) patients. We aimed to identify optimal D-dimer cutoff values for poor functional outcomes in severe TBI.

methodsWe used data from a multi-centre prospective observational cohort study that included patients with TBI with a Glasgow Coma Scale (GCS) score ≤ 8 within 48 h after injury or required neurosurgical procedures. We selected patients admitted ≤ 1 h after injury. Neurological function at discharge was assessed using the modified Rankin Scale (mRS). The association between D-dimer levels at admission and neurological function (mRS ≥ 4 or < 4), adjusted for age, GCS, systolic blood pressure, and head abbreviated injury scale (AIS) score, was determined by logistic regression analysis. The predictive utility of D-dimer levels was assessed using the area under the receiver operating characteristic curve (AUC), with the cutoff value being determined using Youden's index.

resultsAmong the 336 patients, most were male; approximately half had experienced motor vehicle accidents. The median (interquartile range) of age, GCS scores, and head AIS scores were 65 (40.25 - 78.75) years, 7 (4 - 9), and 5 (4 - 5), respectively. Overall, 214 (63.7%) patients had poor neurological function (mRS ≥ 4). D-dimer levels > 28 µg/mL predicted poor functional prognosis (odds ratio = 3.84 [95% confidence interval 1.62 - 9.11]); the AUC and cutoff values were 0.73 and 27.2 µg/mL, respectively.

conclusionA cutoff value of 27.2 µg/mL for early-stage D-dimer levels could predict the functional prognosis of patients with severe isolated TBI.

Indexed as

Brain Injuries, TraumaticFibrin Fibrinogen Degradation ProductsAdultAgedBiomarkersFemaleGlasgow Coma ScaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesROC CurveBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DD-dimerFibrinolysisFunctional prognosisJapan neuro trauma data bankTraumatic brain injury

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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.