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Can routine perioperative haemodynamic parameters predict postoperative morbidity after major surgery?

BACKGROUND: Postoperative morbidity occurs in 10–15% of patients undergoing major noncardiac surgery. Predicting patients at higher risk of morbidity may help to optimize perioperative prevention. Preoperative haemodynamic parameters, systolic arterial pressure (SAP) < 100 mmHg, pulse pressure (P...

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Autores principales: Bonnet, Jean-Francois, Buggy, Eleanor, Cusack, Barbara, Sherwin, Aislinn, Wall, Tom, Fitzgibbon, Maria, Buggy, Donal J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092574/
https://www.ncbi.nlm.nih.gov/pubmed/32226624
http://dx.doi.org/10.1186/s13741-020-0139-6
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author Bonnet, Jean-Francois
Buggy, Eleanor
Cusack, Barbara
Sherwin, Aislinn
Wall, Tom
Fitzgibbon, Maria
Buggy, Donal J.
author_facet Bonnet, Jean-Francois
Buggy, Eleanor
Cusack, Barbara
Sherwin, Aislinn
Wall, Tom
Fitzgibbon, Maria
Buggy, Donal J.
author_sort Bonnet, Jean-Francois
collection PubMed
description BACKGROUND: Postoperative morbidity occurs in 10–15% of patients undergoing major noncardiac surgery. Predicting patients at higher risk of morbidity may help to optimize perioperative prevention. Preoperative haemodynamic parameters, systolic arterial pressure (SAP) < 100 mmHg, pulse pressure (PP) > 62 mmHg or < 53 mmHg, and heart rate (HR) > 87 min(-1) are associated with increased postoperative morbidity. We evaluated the correlation between these and other routine haemodynamic parameters, measured intraoperatively, with postoperative morbidity. Postoperative morbidity was measured using the Comprehensive Complication Index (CCI) and length of stay (LOS). Additionally we correlated CCI with the cardiac risk biomarker, preoperative NT-ProBNP. METHODS: This is a retrospective analysis of patients in MET-REPAIR, a European observational study correlating self-reported physical activity with postoperative morbidity. Patients’ electronic anaesthetic records (EARs) including perioperative haemodynamic data were correlated with 30-day postoperative morbidity, CCI and LOS parameters. Statistical analysis to assess for correlation was by Kendall’s Correlation Coefficient for tied ranks (Tau-B) or Spearman’s Correlation Coefficient. Blood for N-terminal prohormone of brain natriuretic peptide (NT-proBNP) measurement was collected < 31 days before surgery. RESULTS: Data from n = 50 patients were analysed. When stratified according to age > 70 years and ASA > 3, the duration of MAP < 100 mmHg, < 75 mmHg or < 55 mmHg were associated with a higher CCI (tau = 0.57, p = 0.001) and duration < 75 mmHg was associated with prolonged LOS (tau = 0.39, p = 0.02). The intraoperative duration of PP > 62 mmHg was associated with LOS (tau = 0.317, p = 0.007). There was no correlation between preoperative NT-proBNP and either CCI or LOS. CONCLUSIONS: In older and higher risk patients, duration of intraoperative hypotension by a variety of definitions, or PP > 62 mmHg, are associated with increased postoperative CCI and LOS. These findings warrant confirmation in larger databases with evaluation of whether real-time intraoperative intervention could reduce postoperative morbidity.
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spelling pubmed-70925742020-03-27 Can routine perioperative haemodynamic parameters predict postoperative morbidity after major surgery? Bonnet, Jean-Francois Buggy, Eleanor Cusack, Barbara Sherwin, Aislinn Wall, Tom Fitzgibbon, Maria Buggy, Donal J. Perioper Med (Lond) Research BACKGROUND: Postoperative morbidity occurs in 10–15% of patients undergoing major noncardiac surgery. Predicting patients at higher risk of morbidity may help to optimize perioperative prevention. Preoperative haemodynamic parameters, systolic arterial pressure (SAP) < 100 mmHg, pulse pressure (PP) > 62 mmHg or < 53 mmHg, and heart rate (HR) > 87 min(-1) are associated with increased postoperative morbidity. We evaluated the correlation between these and other routine haemodynamic parameters, measured intraoperatively, with postoperative morbidity. Postoperative morbidity was measured using the Comprehensive Complication Index (CCI) and length of stay (LOS). Additionally we correlated CCI with the cardiac risk biomarker, preoperative NT-ProBNP. METHODS: This is a retrospective analysis of patients in MET-REPAIR, a European observational study correlating self-reported physical activity with postoperative morbidity. Patients’ electronic anaesthetic records (EARs) including perioperative haemodynamic data were correlated with 30-day postoperative morbidity, CCI and LOS parameters. Statistical analysis to assess for correlation was by Kendall’s Correlation Coefficient for tied ranks (Tau-B) or Spearman’s Correlation Coefficient. Blood for N-terminal prohormone of brain natriuretic peptide (NT-proBNP) measurement was collected < 31 days before surgery. RESULTS: Data from n = 50 patients were analysed. When stratified according to age > 70 years and ASA > 3, the duration of MAP < 100 mmHg, < 75 mmHg or < 55 mmHg were associated with a higher CCI (tau = 0.57, p = 0.001) and duration < 75 mmHg was associated with prolonged LOS (tau = 0.39, p = 0.02). The intraoperative duration of PP > 62 mmHg was associated with LOS (tau = 0.317, p = 0.007). There was no correlation between preoperative NT-proBNP and either CCI or LOS. CONCLUSIONS: In older and higher risk patients, duration of intraoperative hypotension by a variety of definitions, or PP > 62 mmHg, are associated with increased postoperative CCI and LOS. These findings warrant confirmation in larger databases with evaluation of whether real-time intraoperative intervention could reduce postoperative morbidity. BioMed Central 2020-03-24 /pmc/articles/PMC7092574/ /pubmed/32226624 http://dx.doi.org/10.1186/s13741-020-0139-6 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Bonnet, Jean-Francois
Buggy, Eleanor
Cusack, Barbara
Sherwin, Aislinn
Wall, Tom
Fitzgibbon, Maria
Buggy, Donal J.
Can routine perioperative haemodynamic parameters predict postoperative morbidity after major surgery?
title Can routine perioperative haemodynamic parameters predict postoperative morbidity after major surgery?
title_full Can routine perioperative haemodynamic parameters predict postoperative morbidity after major surgery?
title_fullStr Can routine perioperative haemodynamic parameters predict postoperative morbidity after major surgery?
title_full_unstemmed Can routine perioperative haemodynamic parameters predict postoperative morbidity after major surgery?
title_short Can routine perioperative haemodynamic parameters predict postoperative morbidity after major surgery?
title_sort can routine perioperative haemodynamic parameters predict postoperative morbidity after major surgery?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092574/
https://www.ncbi.nlm.nih.gov/pubmed/32226624
http://dx.doi.org/10.1186/s13741-020-0139-6
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