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Decreased mean perfusion pressure as an independent predictor of acute kidney injury after cardiac surgery
Acute kidney injury after cardiac surgery (AKICS) is common. Previous studies examining the role that mean arterial pressure (MAP) during cardiopulmonary bypass (CPB) may have on AKICS have not taken into account how baseline central venous pressure (CVP) and mean perfusion pressure (MPP) (i.e. MAP ...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Japan
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332480/ https://www.ncbi.nlm.nih.gov/pubmed/32200414 http://dx.doi.org/10.1007/s00380-020-01578-0 |
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author | Hu, Raymond Kalam, Yasmean Broad, Jeremy Ho, Tim Parker, Frank Lee, Matthew Bellomo, Rinaldo |
author_facet | Hu, Raymond Kalam, Yasmean Broad, Jeremy Ho, Tim Parker, Frank Lee, Matthew Bellomo, Rinaldo |
author_sort | Hu, Raymond |
collection | PubMed |
description | Acute kidney injury after cardiac surgery (AKICS) is common. Previous studies examining the role that mean arterial pressure (MAP) during cardiopulmonary bypass (CPB) may have on AKICS have not taken into account how baseline central venous pressure (CVP) and mean perfusion pressure (MPP) (i.e. MAP − CVP) can influence its evolution. To assess whether the change in MPP to the kidneys (i.e. delta MPP or DMPP) during CPB compared to baseline is an independent predictor of AKICS. After ethical approval, a retrospective observational study was performed on all patients undergoing CPB between October 2013 and June 2015 at a university-affiliated hospital. Known risk factors for the development of AKICS were recorded, as were the MPP values at baseline and during CPB. From this, statistical modelling was performed to identify predictors of postoperative AKICS. 664 patients were identified. Analysis was performed on 513 patients after exclusion. On logistic regression, significant and independent predictors of AKICS included: d20DMPP (cumulative duration of MPP values during CPB that were 20% below baseline and exceeded three consecutive minutes) (P = 0.010); baseline CVP; age; pre-operative creatinine level; and left ventricular (LV) dysfunction (ejection fraction (EF) < 45%). On alternative modelling, the cumulative number of MPP values during CPB that were 10% below baseline was also independently associated with AKICS (P = 0.003). Modelling without taking into account CVP also supported this association. The duration of differences in perfusion pressure to the kidneys during CPB compared to baseline is an independent predictor of AKICS. |
format | Online Article Text |
id | pubmed-7332480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Japan |
record_format | MEDLINE/PubMed |
spelling | pubmed-73324802020-07-07 Decreased mean perfusion pressure as an independent predictor of acute kidney injury after cardiac surgery Hu, Raymond Kalam, Yasmean Broad, Jeremy Ho, Tim Parker, Frank Lee, Matthew Bellomo, Rinaldo Heart Vessels Original Article Acute kidney injury after cardiac surgery (AKICS) is common. Previous studies examining the role that mean arterial pressure (MAP) during cardiopulmonary bypass (CPB) may have on AKICS have not taken into account how baseline central venous pressure (CVP) and mean perfusion pressure (MPP) (i.e. MAP − CVP) can influence its evolution. To assess whether the change in MPP to the kidneys (i.e. delta MPP or DMPP) during CPB compared to baseline is an independent predictor of AKICS. After ethical approval, a retrospective observational study was performed on all patients undergoing CPB between October 2013 and June 2015 at a university-affiliated hospital. Known risk factors for the development of AKICS were recorded, as were the MPP values at baseline and during CPB. From this, statistical modelling was performed to identify predictors of postoperative AKICS. 664 patients were identified. Analysis was performed on 513 patients after exclusion. On logistic regression, significant and independent predictors of AKICS included: d20DMPP (cumulative duration of MPP values during CPB that were 20% below baseline and exceeded three consecutive minutes) (P = 0.010); baseline CVP; age; pre-operative creatinine level; and left ventricular (LV) dysfunction (ejection fraction (EF) < 45%). On alternative modelling, the cumulative number of MPP values during CPB that were 10% below baseline was also independently associated with AKICS (P = 0.003). Modelling without taking into account CVP also supported this association. The duration of differences in perfusion pressure to the kidneys during CPB compared to baseline is an independent predictor of AKICS. Springer Japan 2020-03-21 2020 /pmc/articles/PMC7332480/ /pubmed/32200414 http://dx.doi.org/10.1007/s00380-020-01578-0 Text en © The Author(s) 2020 Open AccessThis 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/. |
spellingShingle | Original Article Hu, Raymond Kalam, Yasmean Broad, Jeremy Ho, Tim Parker, Frank Lee, Matthew Bellomo, Rinaldo Decreased mean perfusion pressure as an independent predictor of acute kidney injury after cardiac surgery |
title | Decreased mean perfusion pressure as an independent predictor of acute kidney injury after cardiac surgery |
title_full | Decreased mean perfusion pressure as an independent predictor of acute kidney injury after cardiac surgery |
title_fullStr | Decreased mean perfusion pressure as an independent predictor of acute kidney injury after cardiac surgery |
title_full_unstemmed | Decreased mean perfusion pressure as an independent predictor of acute kidney injury after cardiac surgery |
title_short | Decreased mean perfusion pressure as an independent predictor of acute kidney injury after cardiac surgery |
title_sort | decreased mean perfusion pressure as an independent predictor of acute kidney injury after cardiac surgery |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332480/ https://www.ncbi.nlm.nih.gov/pubmed/32200414 http://dx.doi.org/10.1007/s00380-020-01578-0 |
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