Hospital-Associated Venous Thromboembolism in a Pediatric Cardiac ICU: A Multivariable Predictive Algorithm to Identify Children at High Risk. Issue 6 (June 2020)

• Record Type: Journal Article
• Authors: Kerris, Elizabeth W. J.; Sharron, Matthew; Zurakowski, David; Staffa, Steven J.; Yurasek, Greg; Diab, Yaser
• Is Part Of: Pediatric critical care medicine. Volume 21:Issue 6(2020)
• Publication Date: 2020-06
• Subjects: children -- heart disease -- intensive care unit -- predictive -- venous thromboembolism; Pediatric intensive care -- Periodicals; Pediatric emergencies -- Periodicals; 618.05
• DOI: 10.1097/PCC.0000000000002293
• Languages: English
• ISSNs: 1529-7535

Abstract

Abstract : Objectives: Critically ill children with cardiac disease are at significant risk for hospital-associated venous thromboembolism, which is associated with increased morbidity, hospital length of stay, and cost. Currently, there are no widely accepted guidelines for prevention of hospital-associated venous thromboembolism in pediatrics. We aimed to develop a predictive algorithm for identifying critically ill children with cardiac disease who are at increased risk for hospital-associated venous thromboembolism as a first step to reducing hospital-associated venous thromboembolism in this population. Design: This is a prospective observational single-center study. Setting: Tertiary care referral children's hospital cardiac ICU. Patients: Children less than or equal to18 years old admitted to the cardiac ICU who developed a hospital-associated venous thromboembolism from December 2013 to June 2017 were included. Odds ratios and 95% CIs are reported for multivariable predictors. Measurements and Main Results: A total of 2, 204 separate cardiac ICU encounters were evaluated with 56 hospital-associated venous thromboembolisms identified in 52 unique patients, yielding an overall prevalence of 25 hospital-associated venous thromboembolism per 1, 000 cardiac ICU encounters. We were able to create a predictive algorithm with good internal validity that performs well at predicting hospital-associated venous thromboembolism. The presence of a central venous catheter (odds ratio, 4.76; 95% CI, 2.0–11.1), sepsis (odds ratio, 3.5; 95% CI, 1.5–8.0), single ventricle disease (odds ratio, 2.2; 95% CI, 1.2–3.9), and extracorporeal membrane oxygenation support (odds ratio, 2.7; 95% CI, 1.2–5.7) were independent risk factors for hospital-associated venous thromboembolism. Encounters with hospital-associated venous thromboembolism were associated with a higher rate of stroke (17% vs 1.2%; p < 0.001). Conclusions: We developed a multivariable predictive algorithm to help identify children who may be at high risk of hospital-associated venous thromboembolism in the pediatric cardiac ICU.