Comparison of the predictive value of thromboelastography and Sonoclot analysis for postoperative bleeding in children undergoing corrective surgery for cyanotic congenital heart disease.
Med J Armed Forces India
; 78(4): 413-421, 2022 Oct.
Article
in En
| MEDLINE
| ID: mdl-36267513
ABSTRACT
Background:
The aim of the study was to compare the predictive value of Sonoclot analysis and thromboelastography (TEG) for postoperative bleeding in children younger than 12 years coming for cardiac surgery for congenital cyanotic heart disease.Methods:
This is a prospective, observational study carried out in a single tertiary care military hospital. Ninety patients of the paediatric age group undergoing bypass cardiac surgery for correction of congenital cyanotic heart defect were included in the study. Laboratory-derived values to assess coagulation status (prothrombin time, international normalisation ratio, activated partial thromboplastin time) and point-of-care Sonoclot- and TEG-derived parameters were noted at the start of surgery and postoperatively in all patients. Bleeders were predefined on the basis of chest tube drainage.Results:
The incidence of bleeders was 42.2% (38/90 patients), whereas 57.8% (52/90 patients) were non-bleeders. The postoperative R value and preoperative gbPF test were predictive for postoperative bleeders on multivariate analysis. Postoperative gbPF had the highest area under the curve (0.72), with a cut-off value of 1.75, and gbPF had 82% sensitivity and 71% specificity in predicting significant postoperative bleeding in paediatric cyanotic congenital heart surgeries. Transfusion requirements and mechanical ventilation duration were higher in bleeders; however; length of intensive care unit stay, incidence of sepsis and mortality were similar in both the groups.Conclusion:
Bleeding in patients undergoing corrective surgery for cyanotic congenital heart disease could be predicted by the preoperative gbPF and postoperative R value. Among these, preoperative gbPF has the maximum predictive value.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
Med J Armed Forces India
Year:
2022
Type:
Article
Affiliation country:
India