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Artículo
Development of a Novel Prediction Model for Red Blood Cell Transfusion Risk in Cardiac Surgery
dc.creator | Alonso-Tunon, O. | es |
dc.creator | Bertomeu-Cornejo, M. | es |
dc.creator | Castillo-Cantero, I. | es |
dc.creator | Borrego-Dominguez, J.M. | es |
dc.creator | García Cabrera, Emilio | es |
dc.creator | Béjar Prado, Luis María | es |
dc.creator | Vilches Arenas, Ángel | es |
dc.date.accessioned | 2024-01-18T14:26:40Z | |
dc.date.available | 2024-01-18T14:26:40Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 2077-0383 | es |
dc.identifier.uri | https://hdl.handle.net/11441/153611 | |
dc.description.abstract | Background: Cardiac surgery is a complex and invasive procedure that often requires blood transfusions to replace the blood lost during surgery. Blood products are a scarce and expensive resource. Therefore, it is essential to develop a standardized approach to determine the need for blood transfusions in cardiac surgery. The main objective of our study is to develop a simple prediction model for determining the risk of red blood cell transfusion in cardiac surgery. Methods: Retrospective cohorts of adult patients who underwent cardiac surgery between 2017 and 2019 were studied to identify hypothetical predictors of blood transfusion. Finally, a multivariable logistic regression model was developed to predict the risk of transfusion in cardiac surgery using the AUC and the Hosmer–Lemeshow goodness-of-fit test. Results: We included 1234 patients who underwent cardiac surgery. Of the entire cohort, 875 patients underwent a cardiac procedure 69.4% [CI 95% (66.8%; 72.0%)]; 119 patients 9.6% [CI 95% (8.1%; 11.4%)] underwent a combined procedure, and 258 patients 20.9% [CI 95% (18.7; 23.2)] underwent other cardiac procedures. The median perioperative hemoglobin was 13.0 mg/dL IQR (11.7; 14.2). The factors associated with the risk of transfusion were age > 60 years OR 1.37 CI 95% (1.02; 1.83); sex female OR 1.67 CI 95% (1.24; 2.24); BMI > 30 OR 1.46 (1.10; 1.93); perioperative hemoglobin < 14 OR 2.11 to 51.41 and combined surgery OR 3.97 CI 95% (2.19; 7.17). The final model shows an AUC of 80.9% for the transfusion risk prediction [IC 95% (78.5–83.3%)]; p < 0.001]. Conclusions: We have developed a model with good discriminatory ability, which is more parsimonious and efficient than other models. | es |
dc.format | application/pdf | es |
dc.format.extent | 11 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Cardiac surgery | es |
dc.subject | Transfusion risk | es |
dc.subject | Score development | es |
dc.title | Development of a Novel Prediction Model for Red Blood Cell Transfusion Risk in Cardiac Surgery | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Medicina Preventiva y Salud Pública | es |
dc.relation.publisherversion | https://www.mdpi.com/2077-0383/12/16/5345 | es |
dc.identifier.doi | 10.3390/jcm12165345 | es |
dc.journaltitle | JOURNAL OF CLINICAL MEDICINE | es |
dc.publication.volumen | 12 | es |
dc.publication.issue | 16 | es |
dc.publication.initialPage | 5345 | es |
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