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ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2) Are Not Predictive of Organ Dysfunction After Cardiopulmonary Bypass
Background: Cardiac surgery is associated with a substantial risk of major adverse events. Although carbon dioxide (CO(2))-derived variables such as venous-to-arterial CO(2) difference (ΔPCO(2)), and PCO(2) gap to arterial–venous O(2) content difference ratio (ΔPCO(2)/C((a−cv))O(2)) have been succes...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671605/ https://www.ncbi.nlm.nih.gov/pubmed/34926611 http://dx.doi.org/10.3389/fcvm.2021.759826 |
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author | Zhang, Sheng Zheng, Dan Chu, Xiao-Qiong Jiang, Yong-Po Wang, Chun-Guo Zhang, Qiao-Min Qian, Lin-Zhu Yang, Wei-Ying Zhang, Wen-Yuan Tung, Tao-Hsin Lin, Rong-Hai |
author_facet | Zhang, Sheng Zheng, Dan Chu, Xiao-Qiong Jiang, Yong-Po Wang, Chun-Guo Zhang, Qiao-Min Qian, Lin-Zhu Yang, Wei-Ying Zhang, Wen-Yuan Tung, Tao-Hsin Lin, Rong-Hai |
author_sort | Zhang, Sheng |
collection | PubMed |
description | Background: Cardiac surgery is associated with a substantial risk of major adverse events. Although carbon dioxide (CO(2))-derived variables such as venous-to-arterial CO(2) difference (ΔPCO(2)), and PCO(2) gap to arterial–venous O(2) content difference ratio (ΔPCO(2)/C((a−cv))O(2)) have been successfully used to predict the prognosis of non-cardiac surgery, their prognostic value after cardiopulmonary bypass (CPB) remains controversial. This hospital-based study explored the relationship between ΔPCO(2), ΔPCO(2)/C((a−cv))O(2) and organ dysfunction after CPB. Methods: We prospectively enrolled 114 intensive care unit patients after elective cardiac surgery with CPB. Patients were divided into the organ dysfunction group (OI) and non-organ dysfunction group (n-OI) depending on whether organ dysfunction occurred or not at 48 h after CPB. ΔPCO(2) was defined as the difference between central venous and arterial CO(2) partial pressure. Results: The OI group has 37 (32.5%) patients, 27 of which (23.7%) had one organ dysfunction and 10 (8.8%) had two or more organ dysfunctions. No statistical significance was found (P = 0.84) for ΔPCO(2) in the n-OI group at intensive care unit (ICU) admission (9.0, 7.0–11.0 mmHg), and at 4 (9.0, 7.0–11.0 mmHg), 8 (9.0, 7.0–11.0 mmHg), and 12 h post admission (9.0, 7.0–11.0 mmHg). In the OI group, ΔPCO(2) also showed the same trend [ICU admission (9.0, 8.0–12.8 mmHg) and 4 (10.0, 7.0–11.0 mmHg), 8 (10.0, 8.5–12.5 mmHg), and 12 h post admission (9.0, 7.3–11.0 mmHg), P = 0.37]. No statistical difference was found for ΔPCO(2)/C((a−cv))O(2) in the n-OI group (P = 0.46) and OI group (P = 0.39). No difference was detected in ΔPCO(2), ΔPCO(2)/C((a−cv))O(2) between groups during the first 12 h after admission (P > 0.05). Subgroup analysis of the patients with two or more failing organs compared to the n-OI group showed that the predictive performance of lactate and Base excess (BE) improved, but not of ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2). Regression analysis showed that the BE at 8 h after admission (odds ratio = 1.37, 95%CI: 1.08–1.74, P = 0.009) was a risk factor for organ dysfunction 48 h after CBP. Conclusion : ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2) cannot be used as reliable indicators to predict the occurrence of organ dysfunction at 48 h after CBP due to the pathophysiological process that occurs after CBP. |
format | Online Article Text |
id | pubmed-8671605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86716052021-12-16 ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2) Are Not Predictive of Organ Dysfunction After Cardiopulmonary Bypass Zhang, Sheng Zheng, Dan Chu, Xiao-Qiong Jiang, Yong-Po Wang, Chun-Guo Zhang, Qiao-Min Qian, Lin-Zhu Yang, Wei-Ying Zhang, Wen-Yuan Tung, Tao-Hsin Lin, Rong-Hai Front Cardiovasc Med Cardiovascular Medicine Background: Cardiac surgery is associated with a substantial risk of major adverse events. Although carbon dioxide (CO(2))-derived variables such as venous-to-arterial CO(2) difference (ΔPCO(2)), and PCO(2) gap to arterial–venous O(2) content difference ratio (ΔPCO(2)/C((a−cv))O(2)) have been successfully used to predict the prognosis of non-cardiac surgery, their prognostic value after cardiopulmonary bypass (CPB) remains controversial. This hospital-based study explored the relationship between ΔPCO(2), ΔPCO(2)/C((a−cv))O(2) and organ dysfunction after CPB. Methods: We prospectively enrolled 114 intensive care unit patients after elective cardiac surgery with CPB. Patients were divided into the organ dysfunction group (OI) and non-organ dysfunction group (n-OI) depending on whether organ dysfunction occurred or not at 48 h after CPB. ΔPCO(2) was defined as the difference between central venous and arterial CO(2) partial pressure. Results: The OI group has 37 (32.5%) patients, 27 of which (23.7%) had one organ dysfunction and 10 (8.8%) had two or more organ dysfunctions. No statistical significance was found (P = 0.84) for ΔPCO(2) in the n-OI group at intensive care unit (ICU) admission (9.0, 7.0–11.0 mmHg), and at 4 (9.0, 7.0–11.0 mmHg), 8 (9.0, 7.0–11.0 mmHg), and 12 h post admission (9.0, 7.0–11.0 mmHg). In the OI group, ΔPCO(2) also showed the same trend [ICU admission (9.0, 8.0–12.8 mmHg) and 4 (10.0, 7.0–11.0 mmHg), 8 (10.0, 8.5–12.5 mmHg), and 12 h post admission (9.0, 7.3–11.0 mmHg), P = 0.37]. No statistical difference was found for ΔPCO(2)/C((a−cv))O(2) in the n-OI group (P = 0.46) and OI group (P = 0.39). No difference was detected in ΔPCO(2), ΔPCO(2)/C((a−cv))O(2) between groups during the first 12 h after admission (P > 0.05). Subgroup analysis of the patients with two or more failing organs compared to the n-OI group showed that the predictive performance of lactate and Base excess (BE) improved, but not of ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2). Regression analysis showed that the BE at 8 h after admission (odds ratio = 1.37, 95%CI: 1.08–1.74, P = 0.009) was a risk factor for organ dysfunction 48 h after CBP. Conclusion : ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2) cannot be used as reliable indicators to predict the occurrence of organ dysfunction at 48 h after CBP due to the pathophysiological process that occurs after CBP. Frontiers Media S.A. 2021-12-01 /pmc/articles/PMC8671605/ /pubmed/34926611 http://dx.doi.org/10.3389/fcvm.2021.759826 Text en Copyright © 2021 Zhang, Zheng, Chu, Jiang, Wang, Zhang, Qian, Yang, Zhang, Tung and Lin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Zhang, Sheng Zheng, Dan Chu, Xiao-Qiong Jiang, Yong-Po Wang, Chun-Guo Zhang, Qiao-Min Qian, Lin-Zhu Yang, Wei-Ying Zhang, Wen-Yuan Tung, Tao-Hsin Lin, Rong-Hai ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2) Are Not Predictive of Organ Dysfunction After Cardiopulmonary Bypass |
title | ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2) Are Not Predictive of Organ Dysfunction After Cardiopulmonary Bypass |
title_full | ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2) Are Not Predictive of Organ Dysfunction After Cardiopulmonary Bypass |
title_fullStr | ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2) Are Not Predictive of Organ Dysfunction After Cardiopulmonary Bypass |
title_full_unstemmed | ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2) Are Not Predictive of Organ Dysfunction After Cardiopulmonary Bypass |
title_short | ΔPCO(2) and ΔPCO(2)/C((a−cv))O(2) Are Not Predictive of Organ Dysfunction After Cardiopulmonary Bypass |
title_sort | δpco(2) and δpco(2)/c((a−cv))o(2) are not predictive of organ dysfunction after cardiopulmonary bypass |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671605/ https://www.ncbi.nlm.nih.gov/pubmed/34926611 http://dx.doi.org/10.3389/fcvm.2021.759826 |
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