Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1782507448011063296 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5307860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sandersjulie predictorsoftotalmorbidityburdenondays35and8aftercardiacsurgery AT cooperjackie predictorsoftotalmorbidityburdenondays35and8aftercardiacsurgery AT mythenmichaelg predictorsoftotalmorbidityburdenondays35and8aftercardiacsurgery AT montgomeryhughe predictorsoftotalmorbidityburdenondays35and8aftercardiacsurgery |