2012
DOI: 10.1111/j.1538-7836.2012.04779.x
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Risk‐prediction tool for identifying hospitalized children with a predisposition for development of venous thromboembolism: Peds‐Clot clinical Decision Rule

Abstract: Summary. Background: The prevalence of VTE is increasing in tertiary pediatric hospitals. Identification of high-risk populations using uniform criteria is required to develop evidence-based VTE prevention guidelines. Objective: To develop a VTE risk prediction rule, the Peds-Clot clinical Decision Rule (PCDR), to identify high-risk children who were at increased risk of developing VTE. Methods: This retrospective case-control study developed the PCDR using a derivation cohort (173 cases, 346 controls) and val… Show more

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Cited by 70 publications
(93 citation statements)
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“…23 Our meta-analysis helps to confirm previous singleinstitution work to define risk of individual pediatric patients with risk-assessment models. 2,18,21 A recent study by Atchison et al, 24 published after the date range for this review, demonstrated independent risk through multivariate analyses for CVC (5 points), infection (2 points), and LOS ≥4 days (1 point) specifically in non-critically ill children. The risk score demonstrated that with 8, 7, or ≤6 points, the risk of HA-VTE was 12.5%, 1.1%, and 0.1%, respectively.…”
Section: A B C Dmentioning
confidence: 78%
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“…23 Our meta-analysis helps to confirm previous singleinstitution work to define risk of individual pediatric patients with risk-assessment models. 2,18,21 A recent study by Atchison et al, 24 published after the date range for this review, demonstrated independent risk through multivariate analyses for CVC (5 points), infection (2 points), and LOS ≥4 days (1 point) specifically in non-critically ill children. The risk score demonstrated that with 8, 7, or ≤6 points, the risk of HA-VTE was 12.5%, 1.1%, and 0.1%, respectively.…”
Section: A B C Dmentioning
confidence: 78%
“…In a single institution case-control study, Branchford et al 18 demonstrated statistically significant independent risk for mechanical ventilation, systemic infection, and hospital stay ≥5 days and that this combination in a risk-model yielded a posttest probability of 3.6% for HA-VTE development. By contrast, Sharathkumar et al 2 found six statistically independent risk factors, with associated "points" determined from the β coefficient from a logistic regression model: immobilization (3 points), LOS ≥7 days (2 points), oral contraceptive pills (2 points), CVC (1 point), bacteremia (1 point), and direct admission to critical care (0.5 points).…”
Section: Risk-assessment Modelsmentioning
confidence: 93%
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