Journal article
Catheter related thrombosis in hospitalized infants: A neural network approach to predict risk factors
Thrombosis research, Vol.200, pp.34-40
04/2021
DOI: 10.1016/j.thromres.2021.01.009
PMID: 33529871
Abstract
We sought to investigate the predictors of catheter-related thrombosis (CRT) in a cohort of critically ill hospitalized infants and using a novel approach (the artificial neural network - ANN) in combination with conventional statistics to identify/confirm those predictors.
We performed a retrospective analysis of all infants with a central or peripherally inserted central venous catheter (CVC/PICC) between 2015 and 2018. ANN was generated to investigate the predictors of CRT. The predictive variables examined in the ANN were age, gender, weight, co-morbid conditions, line type, use of ultrasound (USG), emergent line placement, location of line tip, any major surgical procedures, use of mechanical ventilation, exposure to cardio-pulmonary bypass (CPB), past-history of CVC/PICC, or thrombosis. Binary logistic regression was performed to calculate odds ratios (ORs) and determine which factors were significant in predicting CRT.
Of total of 613 infants, 59.9% of patients had a history of previous CVC or PICC and 12.2% had a history of thrombus as documented by USG in the past three months. CPB exposure was present in 48.1%. The incidence of CRT was 10.7%. Independent predictors of CRT were the line tip in IVC (OR: 2.37, 1.08–5.21, P = 0.032), history of thrombosis (OR: 2.40, 1.16–4.96, P = 0.019), previous CVC/PICC (OR: 2.80, 1.24–6.33, P = 0.014) and exposure to CPB (OR: 2.749, 1.08–6.98, P = 0.034). A sensitivity analysis was performed to determine the normalized importance of each variable used to create the ANN. The most important variables were age (with normalized importance of 100%), history of thrombosis, weight, and exposure to CPB (normalized importance of 68.2%).
Nearly 1 in 10 infants developed CRT. We found that catheter tip in IVC, exposure to CPB, history of vein thrombosis and history of CVC/PICC placement in the past 3 months are independently associated with a higher risk of CRT in infants by using conventional and neural network methods.
Details
- Title: Subtitle
- Catheter related thrombosis in hospitalized infants: A neural network approach to predict risk factors
- Creators
- Aditya V. Badheka - Roy J. and Lucille A. Carver College of MedicineDanielle Hodge - Roy J. and Lucille A. Carver College of MedicineSonali Ramesh - University of IowaJodi Bloxham - University of IowaElizabeth Espinoza - Roy J. and Lucille A. Carver College of MedicineVeerasathpurush Allareddy - University of Illinois at ChicagoDeepti Shroff Karhade - University of North Carolina at Chapel HillMadhuradhar Chegondi - University of IowaVeerajalandhar Allareddy - University of Illinois at Chicago
- Resource Type
- Journal article
- Publication Details
- Thrombosis research, Vol.200, pp.34-40
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.thromres.2021.01.009
- PMID
- 33529871
- ISSN
- 0049-3848
- eISSN
- 1879-2472
- Language
- English
- Date published
- 04/2021
- Academic Unit
- Critical Care; Stead Family Department of Pediatrics; Nursing
- Record Identifier
- 9984353842302771
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