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ABSTRACT: Background
Pulmonary embolism (PE) in children carries a significant morbidity and mortality. We examined previously described factors in 2 cohorts of children tested for PE and identified novel factors.Methods
We combined data from 2 retrospective cohorts. Patients up to age 21 years were included who underwent imaging or D-dimer testing for PE, with positive radiologic testing being the gold standard. Combined predictor variables were examined by univariate analysis and then forward stepwise multivariable logistic regression.Results
The combined data set yielded 1103 patients with 42 unique predictor variables, and 93 PE-positive patients (8.4%), with a median age of 16 years. Univariate analysis retained 17 variables, and multivariable logistic regression found 9 significant variables with increased probability of PE diagnosis: age-adjusted tachycardia, tachypnea, hypoxia, unilateral limb swelling, trauma/surgery requiring hospitalization in previous 4 weeks, prior thromboembolism, cancer, anemia, and leukocytosis.Conclusion
This combined data set of children with suspected PE discovered factors that may contribute to a diagnosis of PE: hypoxia, unilateral limb swelling, trauma/surgery requiring hospitalization in previous 4 weeks, prior thromboembolism, and cancer, age-adjusted tachycardia, tachypnea, anemia, and leukocytosis. Prospective testing is needed to determine which criteria should be used to initiate diagnostic testing for PE in children.
SUBMITTER: Hennelly KE
PROVIDER: S-EPMC6971320 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Research and practice in thrombosis and haemostasis 20191026 1
<h4>Background</h4>Pulmonary embolism (PE) in children carries a significant morbidity and mortality. We examined previously described factors in 2 cohorts of children tested for PE and identified novel factors.<h4>Methods</h4>We combined data from 2 retrospective cohorts. Patients up to age 21 years were included who underwent imaging or D-dimer testing for PE, with positive radiologic testing being the gold standard. Combined predictor variables were examined by univariate analysis and then fo ...[more]