Literature DB >> 33444767

Prediction of Bleeding in Pediatric Cardiac Surgery Using Clinical Characteristics and Prospective Coagulation Test Results.

Jessica M Harris1, Karen Sheehan2, Chris A Rogers1, Tim Murphy2, Massimo Caputo3, Andrew D Mumford4.   

Abstract

Bleeding caused by coagulopathy is common in children undergoing cardiac surgery and causes adverse outcomes. Coagulation testing assists selection of treatments to stop bleeding but has an uncertain role for predicting bleeding. We aimed to evaluate how well prospective coagulation testing predicted excessive bleeding during and after cardiac surgery compared to prediction using clinical characteristics alone. The study was a single-center, prospective cohort study in children having a range of cardiac surgery procedures with coagulation testing at anesthetic induction and immediately after cardiopulmonary bypass. The primary outcome was clinical concern about bleeding (CCB), a composite of either administration of prohemostatic treatments in response to bleeding or a high chest drain volume after surgery. In 225 children, CCB occurred in 26 (12%) during surgery and in 68 (30%) after surgery. Multivariable fractional polynomial models using the clinical characteristics of the children alone predicted CCB during surgery (c-statistic 0.64; 95% confidence interval 0.53, 0.76) and after surgery (0.74; 0.67, 0.82). Incorporating coagulation test results into these models improved prediction (c-statistics 0.79; 0.70, 0.87, and 0.80; 0.74, 0.87, respectively). However, this increased the overall proportion of children classified correctly as CCB or not CCB during surgery by only 0.9% and after surgery by only 0.4%. Incorporating coagulation test results into predictive models had no effect on prediction of blood transfusion or postoperative complications. Prospective coagulation testing marginally improves prediction of CCB during and after cardiac surgery but the clinical impact of this is small when compared to prediction using clinical characteristics. Crown
Copyright © 2021. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bleeding; Coagulation testing; Coagulopathy; Pediatric cardiac surgery; Predictive models

Mesh:

Year:  2021        PMID: 33444767     DOI: 10.1053/j.semtcvs.2021.01.006

Source DB:  PubMed          Journal:  Semin Thorac Cardiovasc Surg        ISSN: 1043-0679


  1 in total

1.  Massive Bleeding After Surgical Repair in Acute Type A Aortic Dissection Patients: Risk Factors, Outcomes, and the Predicting Model.

Authors:  Chen-Han Zhang; Yi-Peng Ge; Yong-Liang Zhong; Hai-Ou Hu; Zhi-Yu Qiao; Cheng-Nan Li; Jun-Ming Zhu
Journal:  Front Cardiovasc Med       Date:  2022-07-08
  1 in total

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