About: Pediatric trauma venous thromboembolism prediction algorithm outperforms current anticoagulation prophylaxis guidelines: a pilot study

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About: Pediatric trauma venous thromboembolism prediction algorithm outperforms current anticoagulation prophylaxis guidelines: a pilot study Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Pediatric trauma venous thromboembolism prediction algorithm outperforms current anticoagulation prophylaxis guidelines: a pilot study
Creator	Burns, Erin Christopher, · Martin, · Nicholas, · Cunningham, Aaron Dewey, Elizabeth Downie, Katie Haley, Kristina Krishnaswami, Sanjay Lin, Saunders Moss, Lori Connelly, R Hamilton, A Jafri, A Mubeen, · Schreiber, A
source	PMC
abstract	PURPOSE: Venous thromboembolism (VTE) in injured children is rare, but sequelae can be morbid and life-threatening. Recent trauma society guidelines suggesting that all children over 15 years old should receive thromboprophylaxis may result in overtreatment. We sought to evaluate the efficacy of a previously published VTE prediction algorithm and compare it to current recommendations. METHODS: Two institutional trauma registries were queried for all pediatric (age < 18 years) patients admitted from 2007 to 2018. Clinical data were applied to the algorithm and the area under the receiver operating characteristic (AUROC) curve was calculated to test algorithm efficacy. RESULTS: A retrospective review identified 8271 patients with 30 episodes of VTE (0.36%). The VTE prediction algorithm classified 51 (0.6%) as high risk (> 5% risk), 322 (3.9%) as moderate risk (1–5% risk) and 7898 (95.5%) as low risk (< 1% risk). AUROC was 0.93 (95% CI 0.89–0.97). In our population, prophylaxis of the ‘moderate-’ and ‘high-risk’ cohorts would outperform the sensitivity (60% vs. 53%) and specificity (96% vs. 77%) of current guidelines while anticoagulating substantially fewer patients (373 vs. 1935, p < 0.001). CONCLUSION: A VTE prediction algorithm using clinical variables can identify injured children at risk for venous thromboembolic disease with more discrimination than current guidelines. Prospective studies are needed to investigate the validity of this model. LEVEL OF EVIDENCE: III—Clinical decision rule evaluated in a single population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00383-019-04613-y) contains supplementary material, which is available to authorized users.
has issue date	2020-01-03(xsd:dateTime)
bibo:doi	10.1007/s00383-019-04613-y
bibo:pmid	31900592
has license	no-cc
sha1sum (hex)	d72ea6a918c8066e3110415a0908ca10f71aaf70
schema:url	https://doi.org/10.1007/s00383-019-04613-y
resource representing a document's title	Pediatric trauma venous thromboembolism prediction algorithm outperforms current anticoagulation prophylaxis guidelines: a pilot study
has PubMed Central identifier	PMC7223182
has PubMed identifier	31900592
schema:publication	Pediatr Surg Int
resource representing a document's body	covid:d72ea6a918c8066e3110415a0908ca10f71aaf70#body_text
is schema:about of	named entity 'result' named entity 'risk' named entity 'evidence' named entity 'sequelae' named entity 'registries' named entity 'age' named entity 'HIGH RISK' named entity 'PREDICTION ALGORITHM' named entity 'VALIDITY' named entity 'GUIDELINES' named entity '0.001' named entity 'CALCULATED' named entity 'THROMBOPROPHYLAXIS' named entity 'current' named entity 'efficacy' named entity 'identify' named entity 'VTE' named entity 'specificity' named entity 'algorithm' named entity 'curve' named entity 'prophylaxis' named entity 'Clinical' named entity 'validity' named entity 'needed' named entity 'algorithm' named entity 'evaluated' named entity 'Results' named entity 'patients' named entity 'retrospective review' named entity 'venous thromboembolic disease' named entity 'algorithm' named entity 'thromboprophylaxis' named entity 'Level of evidence' named entity 'Venous thromboembolism' named entity 'VTE' named entity 'algorithm' named entity 'algorithm' named entity 'prophylaxis' named entity 'NTDB' named entity 'algorithm' named entity 'clinical practice' named entity 'severely injured' named entity 'algorithm' named entity 'GCS' named entity 'high-risk groups' named entity 'prophylaxis' named entity 'prophylactic' named entity 'Armonk' named entity 'major surgery' named entity 'mechanical ventilation' named entity 'trauma service' named entity 'prophylaxis' named entity 'pediatric' named entity 'ICD-9' named entity 'circular analysis' named entity 'ICD-9' named entity 'prophylactic' named entity 'trauma patients' named entity 'peripherally' named entity 'VTE' named entity 'VTE' named entity 'pediatric' named entity 'VTE' named entity 'deep vein thrombosis' named entity 'prophylaxis' named entity 'missing data'

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