Dataset Information

Prediction of arterial extravasation in pelvic fracture patients with stable hemodynamics using coagulation biomarkers.

ABSTRACT: Background:Determining the presence of an active arterial hemorrhage in the acute phase is important as a treatment strategy in patients with pelvic fracture. The purpose of this study was to evaluate whether coagulation biomarkers could predict arterial extravasation, especially in pelvic fracture patients with stable hemodynamics. Methods:We studied patients with a pelvic fracture who had a systolic blood pressure above 90?mmHg and lactate level less than 5.0?mmol/L on hospital arrival. Patients were divided into two groups: those with arterial extravasation on enhanced computed tomography (CT) or angiography (extravasation [+] group) and those without arterial extravasation (extravasation [-] group). Coagulation biomarkers measured on arrival were statistically compared between the two groups. Predictive ability of arterial extravasation using coagulation biomarkers was evaluated by receiver-operating characteristic analyses provided area under the receiver-operating characteristic curves (AUROC) and diagnostic indicators with optimal cutoff point including sensitivity, specificity, positive and negative predictive values, and diagnostic odds ratio (DOR). Results:Sixty patients were analyzed. Fibrin degradation products (FDP), D-dimer, prothrombin time-international normalized ratio (PT-INR), and the ratio of FDP to fibrinogen were significantly higher in the extravasation (+) group than in the extravasation (-) group (FDP, 242??g/mL [145-355] vs. 96??g/mL [58-153]; D-dimer, 81??g/mL [41-140] vs. 39??g/mL [21-75]; PT-INR, 1.09 [1.05-1.24] vs. 1.02 [0.98-1.08]; and ratio of FDP to fibrinogen, 1.06 [0.85-2.01] vs. 0.46 [0.25-0.74]). The highest AUROC was with a ratio of FDP to fibrinogen of 0.777 (95% confidence interval, 0.656-0.898), and the highest predictive ability in terms of DOR was with a ratio of FDP to fibrinogen (sensitivity, 0.76; specificity, 0.76; DOR 9.90). Conclusion:Coagulation biomarker could predict of arterial extravasation in pelvic fracture patients with stable hemodynamics.

SUBMITTER: Aoki M

PROVIDER: S-EPMC6425576 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prediction of arterial extravasation in pelvic fracture patients with stable hemodynamics using coagulation biomarkers.

Aoki Makoto M Ogura Takayuki T Hagiwara Shuichi S Nakamura Mitsunobu M Oshima Kiyohiro K

World journal of emergency surgery : WJES 20190319

<h4>Background</h4>Determining the presence of an active arterial hemorrhage in the acute phase is important as a treatment strategy in patients with pelvic fracture. The purpose of this study was to evaluate whether coagulation biomarkers could predict arterial extravasation, especially in pelvic fracture patients with stable hemodynamics.<h4>Methods</h4>We studied patients with a pelvic fracture who had a systolic blood pressure above 90 mmHg and lactate level less than 5.0 mmol/L on hospital ...[more]

PMID: 30930958

Similar Datasets

Project description:PurposeTo prospectively compare contrast material-enhanced (CE) magnetic resonance (MR) imaging-derived right-to-left ventricle pulmonary transit time (PTT), left ventricular (LV) full width at half maximum (FWHM), and LV time to peak (TTP) between patients with pulmonary arterial hypertension (PAH) and healthy volunteers and to correlate these measurements with survival markers in patients with PAH.Materials and methodsThis HIPAA-compliant study received institutional review board approval. Written informed consent was obtained from all participants. Forty-three patients (32 with PAH [29 women; median age, 55.4 years], 11 with scleroderma but not PAH [seven women; median age, 58.9 years]) underwent right-sided heart catheterization and 3-T CE cardiac MR imaging. Eighteen age- and sex-matched healthy control subjects (12 women; median age, 51.7 years) underwent only CE MR imaging. A short-axis saturation-recovery gradient-echo section was acquired in the basal third of both ventricles, and right-to-left-ventricle PTT, LV FWHM, and LV TTP were calculated. Statistical analysis included Kruskal-Wallis test, Wilcoxon rank sum test, Spearman correlation coefficient, multiple linear regression analysis, and Lin correlation coefficient analysis.ResultsPatients had significantly longer PTT (median, 8.2 seconds; 25th-75th percentile, 6.9-9.9 seconds), FWHM (median, 8.2 seconds; 25th-75th percentile, 5.7-11.4 seconds), and TTP (median, 4.8 seconds; 25th-75th percentile, 3.9-6.5 seconds) than did control subjects (median, 6.4 seconds; 25th-75th percentile, 5.7-7.1 seconds; median, 5.2 seconds; 25th-75th percentile, 4.1-6.1 seconds; median, 3.2 seconds; 25th-75th percentile, 2.8-3.8 seconds, respectively; P < .01 for each) and subjects with scleroderma but not PAH (median, 6.5 seconds; 25th-75th percentile, 5.6-7.0 seconds; median, 5.0 seconds; 25th-75th percentile, 4.0-7.3 seconds; median, 3.6 seconds; 25th-75th percentile, 2.7-4.0 seconds, respectively; P < .02 for each). PTT, LV FWHM, and LV TTP correlated with pulmonary vascular resistance index (P < .01), right ventricular stroke volume index (P ? .01), and pulmonary artery capacitance (P ? .02). In multiple linear regression models, PTT, FWHM, and TTP were associated with mean pulmonary arterial pressure and cardiac index.ConclusionCE MR-derived PTT, LV FWHM, and LV TTP are noninvasive compound markers of pulmonary hemodynamics and cardiac function in patients with PAH. Their predictive value for patient outcome warrants further investigation.

Dataset Information

Prediction of arterial extravasation in pelvic fracture patients with stable hemodynamics using coagulation biomarkers.

Publications

Prediction of arterial extravasation in pelvic fracture patients with stable hemodynamics using coagulation biomarkers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets