Cargando…

Correlation between mortality and blood transfusion in patients with major surgery initially admitted to intensive care unit: a retrospective analysis

PURPOSE: Transfusing red blood cells promptly corrects anemia and improves tissue oxygenation in around 40% of patients hospitalized in the intensive care unit (ICU) after major surgical operations. This study’s goal is to investigate how blood transfusions affect the mortality rates of patients aft...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiao, Hua, Song, Wei, Ai, Hongmei, Zhang, Jingpeng, Lu, Jing, Zhang, Danping, Zhou, Zaiwen, Xu, Pu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476360/
https://www.ncbi.nlm.nih.gov/pubmed/37667179
http://dx.doi.org/10.1186/s12871-023-02261-3
_version_ 1785100913068736512
author Xiao, Hua
Song, Wei
Ai, Hongmei
Zhang, Jingpeng
Lu, Jing
Zhang, Danping
Zhou, Zaiwen
Xu, Pu
author_facet Xiao, Hua
Song, Wei
Ai, Hongmei
Zhang, Jingpeng
Lu, Jing
Zhang, Danping
Zhou, Zaiwen
Xu, Pu
author_sort Xiao, Hua
collection PubMed
description PURPOSE: Transfusing red blood cells promptly corrects anemia and improves tissue oxygenation in around 40% of patients hospitalized in the intensive care unit (ICU) after major surgical operations. This study’s goal is to investigate how blood transfusions affect the mortality rates of patients after major surgery who are hospitalized in the ICU. METHODS: Retrospective research was done on recently hospitalized patients who had major procedures in the ICU between October 2020 and February 2022 at the Huanggang Central Hospital of Yangtze University, China. The patients’ prognoses at three months were used to classify them as either survivors or deceased. Patient demographic information, laboratory results, and blood transfusion histories were acquired, and the outcomes of the two groups were compared based on the differences. Univariate and multivariate logistic regression analyses were used to examine the prognosis of surgical disease patients first admitted to the ICU. The receiver operating characteristic (ROC) curve was used to evaluate the predictive power of each risk factor. The relationship between transfusion frequency, transfusion modality, and patient outcome was examined using Spearman’s correlation analysis. RESULTS: Data from 384 patients was included in the research; of them, 214 (or 55.7%) died within three months of their first stay in the ICU. The death group had higher scores on the Acute Physiology and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) than the survival group did (all P < 0.05); the death group also had lower scores on the Glasgow Coma Scale, systolic blood pressure, hemoglobin, platelet distribution width, and blood transfusion ratio. Multivariate logistic regression analysis revealed an odds ratio (OR) of 1.654 (1.281–1.989), a 95% confidence interval (CI) of 1.440 (1.207–1.701), and a P value of 0.05 for death in patients undergoing major surgery who were hospitalized to the intensive care unit (ICU). Areas under the ROC curve (AUC) of 0.836, 0.799, and 0.871, respectively, and 95% CIs of 0.796–0.875, 0.755–0.842, and 0.837–0.904, respectively, all P0.05, had significant predictive value for patients initially admitted to the ICU and for APACHE II score > = 12 points, SOFA score > = 6, and blood transfusion. When all three indicators were used jointly to predict a patient’s prognosis after major surgery, the accuracy increased to 86.4% (sensitivity) and 100% (specificity). There was a negative correlation between the number of blood transfusions a patient had and their outcome (r = 0.605, P < 0.001) and death (r = 0.698, P < 0.001). CONCLUSION: A higher initial ICU APACHE II score, SOFA score, and a number of blood transfusions were associated with improved survival for patients undergoing major surgical operations. Patients’ death rates have increased with the increase in the frequency and variety of blood transfusions.
format Online
Article
Text
id pubmed-10476360
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-104763602023-09-05 Correlation between mortality and blood transfusion in patients with major surgery initially admitted to intensive care unit: a retrospective analysis Xiao, Hua Song, Wei Ai, Hongmei Zhang, Jingpeng Lu, Jing Zhang, Danping Zhou, Zaiwen Xu, Pu BMC Anesthesiol Research PURPOSE: Transfusing red blood cells promptly corrects anemia and improves tissue oxygenation in around 40% of patients hospitalized in the intensive care unit (ICU) after major surgical operations. This study’s goal is to investigate how blood transfusions affect the mortality rates of patients after major surgery who are hospitalized in the ICU. METHODS: Retrospective research was done on recently hospitalized patients who had major procedures in the ICU between October 2020 and February 2022 at the Huanggang Central Hospital of Yangtze University, China. The patients’ prognoses at three months were used to classify them as either survivors or deceased. Patient demographic information, laboratory results, and blood transfusion histories were acquired, and the outcomes of the two groups were compared based on the differences. Univariate and multivariate logistic regression analyses were used to examine the prognosis of surgical disease patients first admitted to the ICU. The receiver operating characteristic (ROC) curve was used to evaluate the predictive power of each risk factor. The relationship between transfusion frequency, transfusion modality, and patient outcome was examined using Spearman’s correlation analysis. RESULTS: Data from 384 patients was included in the research; of them, 214 (or 55.7%) died within three months of their first stay in the ICU. The death group had higher scores on the Acute Physiology and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) than the survival group did (all P < 0.05); the death group also had lower scores on the Glasgow Coma Scale, systolic blood pressure, hemoglobin, platelet distribution width, and blood transfusion ratio. Multivariate logistic regression analysis revealed an odds ratio (OR) of 1.654 (1.281–1.989), a 95% confidence interval (CI) of 1.440 (1.207–1.701), and a P value of 0.05 for death in patients undergoing major surgery who were hospitalized to the intensive care unit (ICU). Areas under the ROC curve (AUC) of 0.836, 0.799, and 0.871, respectively, and 95% CIs of 0.796–0.875, 0.755–0.842, and 0.837–0.904, respectively, all P0.05, had significant predictive value for patients initially admitted to the ICU and for APACHE II score > = 12 points, SOFA score > = 6, and blood transfusion. When all three indicators were used jointly to predict a patient’s prognosis after major surgery, the accuracy increased to 86.4% (sensitivity) and 100% (specificity). There was a negative correlation between the number of blood transfusions a patient had and their outcome (r = 0.605, P < 0.001) and death (r = 0.698, P < 0.001). CONCLUSION: A higher initial ICU APACHE II score, SOFA score, and a number of blood transfusions were associated with improved survival for patients undergoing major surgical operations. Patients’ death rates have increased with the increase in the frequency and variety of blood transfusions. BioMed Central 2023-09-04 /pmc/articles/PMC10476360/ /pubmed/37667179 http://dx.doi.org/10.1186/s12871-023-02261-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Xiao, Hua
Song, Wei
Ai, Hongmei
Zhang, Jingpeng
Lu, Jing
Zhang, Danping
Zhou, Zaiwen
Xu, Pu
Correlation between mortality and blood transfusion in patients with major surgery initially admitted to intensive care unit: a retrospective analysis
title Correlation between mortality and blood transfusion in patients with major surgery initially admitted to intensive care unit: a retrospective analysis
title_full Correlation between mortality and blood transfusion in patients with major surgery initially admitted to intensive care unit: a retrospective analysis
title_fullStr Correlation between mortality and blood transfusion in patients with major surgery initially admitted to intensive care unit: a retrospective analysis
title_full_unstemmed Correlation between mortality and blood transfusion in patients with major surgery initially admitted to intensive care unit: a retrospective analysis
title_short Correlation between mortality and blood transfusion in patients with major surgery initially admitted to intensive care unit: a retrospective analysis
title_sort correlation between mortality and blood transfusion in patients with major surgery initially admitted to intensive care unit: a retrospective analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476360/
https://www.ncbi.nlm.nih.gov/pubmed/37667179
http://dx.doi.org/10.1186/s12871-023-02261-3
work_keys_str_mv AT xiaohua correlationbetweenmortalityandbloodtransfusioninpatientswithmajorsurgeryinitiallyadmittedtointensivecareunitaretrospectiveanalysis
AT songwei correlationbetweenmortalityandbloodtransfusioninpatientswithmajorsurgeryinitiallyadmittedtointensivecareunitaretrospectiveanalysis
AT aihongmei correlationbetweenmortalityandbloodtransfusioninpatientswithmajorsurgeryinitiallyadmittedtointensivecareunitaretrospectiveanalysis
AT zhangjingpeng correlationbetweenmortalityandbloodtransfusioninpatientswithmajorsurgeryinitiallyadmittedtointensivecareunitaretrospectiveanalysis
AT lujing correlationbetweenmortalityandbloodtransfusioninpatientswithmajorsurgeryinitiallyadmittedtointensivecareunitaretrospectiveanalysis
AT zhangdanping correlationbetweenmortalityandbloodtransfusioninpatientswithmajorsurgeryinitiallyadmittedtointensivecareunitaretrospectiveanalysis
AT zhouzaiwen correlationbetweenmortalityandbloodtransfusioninpatientswithmajorsurgeryinitiallyadmittedtointensivecareunitaretrospectiveanalysis
AT xupu correlationbetweenmortalityandbloodtransfusioninpatientswithmajorsurgeryinitiallyadmittedtointensivecareunitaretrospectiveanalysis