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Predictors of total morbidity burden on days 3, 5 and 8 after cardiac surgery

BACKGROUND: Post-operative morbidity affects up to 36% of cardiac surgical patients. However, few countries reliably record morbidity outcome data, despite patients wanting to be informed of all the risks associated with surgery. The Cardiac Post-Operative Morbidity Score (C-POMS) is a new tool for...

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Autores principales: Sanders, Julie, Cooper, Jackie, Mythen, Michael G., Montgomery, Hugh E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5307860/
https://www.ncbi.nlm.nih.gov/pubmed/28228937
http://dx.doi.org/10.1186/s13741-017-0060-9
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author Sanders, Julie
Cooper, Jackie
Mythen, Michael G.
Montgomery, Hugh E.
author_facet Sanders, Julie
Cooper, Jackie
Mythen, Michael G.
Montgomery, Hugh E.
author_sort Sanders, Julie
collection PubMed
description BACKGROUND: Post-operative morbidity affects up to 36% of cardiac surgical patients. However, few countries reliably record morbidity outcome data, despite patients wanting to be informed of all the risks associated with surgery. The Cardiac Post-Operative Morbidity Score (C-POMS) is a new tool for describing and scoring (0–13) total morbidity burden after cardiac surgery, derived by noting the presence/absence of 13 morbidity domains on days 3, 5, 8 and 15. Identifying modifiable C-POMS risk factors may suggest targets for intervention to reduce morbidity and healthcare costs. Thus, we explored the association of C-POMS with previously identified predictors of post-operative morbidity. METHODS: A systematic literature review of pre-operative risk assessment models for post-operative morbidity was conducted to identify variables associated with post-operative morbidity. The association of those variables with C-POMS was explored in patients drawn from the original C-POMS study (n = 444). RESULTS: Seventy risk factors were identified, of which 56 were available in the study and 49 were suitable for analysis. Numbers were too few to analyse associations on D15. Thirty-three (67.3%) and 20 (40.8%) variables were associated with C-POMS on at least 1 or 2 days, respectively. Pre-operative albumin concentration, left ventricular ejection fraction and New York Heart Association functional class were associated with C-POMS on all days. Of the 16 independent risk factors, pre-operative albumin and haemoglobin concentrations and weight are potentially modifiable. CONCLUSIONS: Different risk factors are associated with total morbidity burden on different post-operative days. Pre-operative albumin and haemoglobin concentrations and weight were independently predictive of post-operative total morbidity burden suggesting therapeutic interventions aimed at these might reduce both post-operative morbidity risk and health-care costs in patients undergoing cardiac surgery. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13741-017-0060-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-53078602017-02-22 Predictors of total morbidity burden on days 3, 5 and 8 after cardiac surgery Sanders, Julie Cooper, Jackie Mythen, Michael G. Montgomery, Hugh E. Perioper Med (Lond) Research BACKGROUND: Post-operative morbidity affects up to 36% of cardiac surgical patients. However, few countries reliably record morbidity outcome data, despite patients wanting to be informed of all the risks associated with surgery. The Cardiac Post-Operative Morbidity Score (C-POMS) is a new tool for describing and scoring (0–13) total morbidity burden after cardiac surgery, derived by noting the presence/absence of 13 morbidity domains on days 3, 5, 8 and 15. Identifying modifiable C-POMS risk factors may suggest targets for intervention to reduce morbidity and healthcare costs. Thus, we explored the association of C-POMS with previously identified predictors of post-operative morbidity. METHODS: A systematic literature review of pre-operative risk assessment models for post-operative morbidity was conducted to identify variables associated with post-operative morbidity. The association of those variables with C-POMS was explored in patients drawn from the original C-POMS study (n = 444). RESULTS: Seventy risk factors were identified, of which 56 were available in the study and 49 were suitable for analysis. Numbers were too few to analyse associations on D15. Thirty-three (67.3%) and 20 (40.8%) variables were associated with C-POMS on at least 1 or 2 days, respectively. Pre-operative albumin concentration, left ventricular ejection fraction and New York Heart Association functional class were associated with C-POMS on all days. Of the 16 independent risk factors, pre-operative albumin and haemoglobin concentrations and weight are potentially modifiable. CONCLUSIONS: Different risk factors are associated with total morbidity burden on different post-operative days. Pre-operative albumin and haemoglobin concentrations and weight were independently predictive of post-operative total morbidity burden suggesting therapeutic interventions aimed at these might reduce both post-operative morbidity risk and health-care costs in patients undergoing cardiac surgery. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13741-017-0060-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-14 /pmc/articles/PMC5307860/ /pubmed/28228937 http://dx.doi.org/10.1186/s13741-017-0060-9 Text en © The Author(s). 2017 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
Sanders, Julie
Cooper, Jackie
Mythen, Michael G.
Montgomery, Hugh E.
Predictors of total morbidity burden on days 3, 5 and 8 after cardiac surgery
title Predictors of total morbidity burden on days 3, 5 and 8 after cardiac surgery
title_full Predictors of total morbidity burden on days 3, 5 and 8 after cardiac surgery
title_fullStr Predictors of total morbidity burden on days 3, 5 and 8 after cardiac surgery
title_full_unstemmed Predictors of total morbidity burden on days 3, 5 and 8 after cardiac surgery
title_short Predictors of total morbidity burden on days 3, 5 and 8 after cardiac surgery
title_sort predictors of total morbidity burden on days 3, 5 and 8 after cardiac surgery
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5307860/
https://www.ncbi.nlm.nih.gov/pubmed/28228937
http://dx.doi.org/10.1186/s13741-017-0060-9
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