ArticlePloS one2020
Risk factors for the development of hospital-acquired pediatric venous thromboembolism-Dealing with potentially causal and confounding risk factors using a directed acyclic graph (DAG) analysis.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 6 citations in OpenAlex.
- Epidemiological patterns and risk profiling of hospital acquired venous thromboembolism in a tertiary medical center in eastern China: a retrospective cohort study (2023-2024).Frontiers in cardiovascular medicine · 2026Article
- Impact of Noradrenaline Administration Dosage on the Occurrence of Peripheral Intravenous Catheter-Related Venous Phlebitis in Critically Ill Patients Using a Time-Dependent Multilevel Cox Regression Model.Emergency medicine international · 2025Article
- Perception, experience and resilience to risks: a global analysis.Scientific reports · 2023Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionHospital-acquired venous thromboembolism (HA-VTE) in children comprises multiple risk factors that should not be evaluated separately due to collinearity and multiple cause and effect relationships. This is one of the first case-control study of pediatric HA-VTE risk factors using a Directed Acyclic Graph (DAG) analysis. MATERIAL AND
methodsRetrospective, case-control study with 22 cases of objectively confirmed HA-VTE and 76 controls matched by age, sex, unit of admission, and period of hospitalization. Descriptive statistics were used to define distributions of continuous variables, frequencies, and proportions of categorical variables, comparing cases and controls. Due to many potential risk factors of HA-VTE, a directed acyclic graph (DAG) model was created to identify confounding, reduce bias, and increase precision on the analysis. The final model consisted of a DAG-informed conditional logistic regression.
resultsIn the initial conventional univariable model, the following variables were selected as potential risk factors for HA-VTE: length of stay (LOS, days), immobility, ICU admission in the last 30 days, LOS in ICU, infection, central venous catheter (CVC), number of CVCs placed, L-asparaginase, heart failure, liver failure, and nephrotic syndrome. The final model using the set of variables selected by DAG analysis revealed LOS (OR = 1.106, 95%CI = 1.021-1.198, p = 0.013), L-asparaginase (OR = 26.463, 95%CI = 1.609-435.342, p = 0.022), and nephrotic syndrome (OR = 29.127, 95%CI = 1.044-812.508, p = 0.004) as independent risk factors for HA-VTE.
conclusionThe DAG-based approach was useful to clarify the influence of confounders and multiple causalities of HA-VTE. Interestingly, CVC placement-a known thrombotic risk factor highlighted in several studies-was considered a confounder, while LOS, L-asparaginase use and nephrotic syndrome were confirmed as risk factors to HA-VTE. Large confidence intervals are related to the sample size; however, the results were significant.
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