The Predictive Role of Intraoperative Blood Transfusion Components in the Prognosis of Heart Transplantation.
blood transfusion
heart transplantation
plasma
platelet
red blood cell
Journal
Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388
Informations de publication
Date de publication:
2022
2022
Historique:
received:
11
02
2022
accepted:
31
03
2022
entrez:
7
6
2022
pubmed:
8
6
2022
medline:
8
6
2022
Statut:
epublish
Résumé
To evaluate the influence of transfusion amount of blood components on the prognosis of patients after heart transplantation (HTx). From 1 January 2015 to 31 December 2020, 568 patients underwent HTx in our institute. A total of 416 recipients with complete datasets were enrolled in the study for final statistical analysis according to the inclusion criteria. The optimal cut-off values for intraoperative transfusion of red blood cell (RBC), platelet, and plasma were determined with receiver operating curve analysis. Univariate and multivariate Cox regression analyses were applied to compare baseline data of patients divided by the transfusion amounts of RBC, platelet, and plasma. Propensity score matching was used to enable the direct comparison of outcomes. The Kaplan-Meier analysis revealed that transfusion amounts of RBC and plasma were independently associated with overall mortality, increased intensive care unit stay time, and major adverse events after transplantation. The multivariate Cox regression analysis suggested that neurological complications ( The mortality of HTx was significantly related to the high-amount transfusion of RBC and plasma. Comprehensively considering the components of blood transfusion obtained better predictive results of peritransplant period survival than solely considering a single component.
Identifiants
pubmed: 35669472
doi: 10.3389/fcvm.2022.874133
pmc: PMC9163358
doi:
Types de publication
Journal Article
Langues
eng
Pagination
874133Commentaires et corrections
Type : ErratumIn
Informations de copyright
Copyright © 2022 Zheng, Xu, Cai, Tu, Liu, Wang, Chen, Dong and Li.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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