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Predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort
INTRODUCTION: Morbidity and mortality associated with urgent or emergency surgeries are high compared to elective procedures. Perioperative risk scores identify the non-elective character as an independent factor of complications and death. The present study aims to characterize the population under...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391804/ https://www.ncbi.nlm.nih.gov/pubmed/29776670 http://dx.doi.org/10.1016/j.bjane.2018.04.009 |
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author | Stahlschmidt, Adriene Novelo, Betânia Freitas, Luiza Alexi Passos, Sávio Cavalcante Dussán-Sarria, Jairo Alberto Félix, Elaine Aparecida Gamermann, Patrícia Wajnberg Caumo, Wolnei Stefani, Luciana Paula Cadore |
author_facet | Stahlschmidt, Adriene Novelo, Betânia Freitas, Luiza Alexi Passos, Sávio Cavalcante Dussán-Sarria, Jairo Alberto Félix, Elaine Aparecida Gamermann, Patrícia Wajnberg Caumo, Wolnei Stefani, Luciana Paula Cadore |
author_sort | Stahlschmidt, Adriene |
collection | PubMed |
description | INTRODUCTION: Morbidity and mortality associated with urgent or emergency surgeries are high compared to elective procedures. Perioperative risk scores identify the non-elective character as an independent factor of complications and death. The present study aims to characterize the population undergoing non-elective surgeries at the Hospital de Clínicas de Porto Alegre and identify the clinical and surgical factors associated with death within 30 days postoperatively. METHODOLOGY: A prospective cohort study of 187 patients undergoing elective surgeries between April and May 2014 at the Hospital de Clínicas, Porto Alegre. Patient-related data, pre-operative risk situations, and surgical information were evaluated. Death in 30 days was the primary outcome measured. RESULTS: The mean age of the sample was 48.5 years, and 84.4% of the subjects had comorbidities. The primary endpoint was observed in 14.4% of the cases, with exploratory laparotomy being the procedure with the highest mortality (47.7%). After multivariate logistic regression, age (odds ratio [OR] 1.0360, p < 0.05), anemia (OR 3.961, p < 0.05), acute or chronic renal insufficiency (OR 6.075, p < 0.05), sepsis (OR 7.027, p < 0.05), and patient-related risk factors for mortality, in addition to the large surgery category (OR 7.502, p < 0.05) were identified. CONCLUSION: The high mortality rate found may reflect the high complexity of the institution's patients. Knowing the profile of the patients assisted helps in the definition of management priorities, suggesting the need to create specific care lines for groups identified as high risk in order to reduce perioperative complications and deaths. |
format | Online Article Text |
id | pubmed-9391804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-93918042022-08-21 Predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort Stahlschmidt, Adriene Novelo, Betânia Freitas, Luiza Alexi Passos, Sávio Cavalcante Dussán-Sarria, Jairo Alberto Félix, Elaine Aparecida Gamermann, Patrícia Wajnberg Caumo, Wolnei Stefani, Luciana Paula Cadore Braz J Anesthesiol Scientific Article INTRODUCTION: Morbidity and mortality associated with urgent or emergency surgeries are high compared to elective procedures. Perioperative risk scores identify the non-elective character as an independent factor of complications and death. The present study aims to characterize the population undergoing non-elective surgeries at the Hospital de Clínicas de Porto Alegre and identify the clinical and surgical factors associated with death within 30 days postoperatively. METHODOLOGY: A prospective cohort study of 187 patients undergoing elective surgeries between April and May 2014 at the Hospital de Clínicas, Porto Alegre. Patient-related data, pre-operative risk situations, and surgical information were evaluated. Death in 30 days was the primary outcome measured. RESULTS: The mean age of the sample was 48.5 years, and 84.4% of the subjects had comorbidities. The primary endpoint was observed in 14.4% of the cases, with exploratory laparotomy being the procedure with the highest mortality (47.7%). After multivariate logistic regression, age (odds ratio [OR] 1.0360, p < 0.05), anemia (OR 3.961, p < 0.05), acute or chronic renal insufficiency (OR 6.075, p < 0.05), sepsis (OR 7.027, p < 0.05), and patient-related risk factors for mortality, in addition to the large surgery category (OR 7.502, p < 0.05) were identified. CONCLUSION: The high mortality rate found may reflect the high complexity of the institution's patients. Knowing the profile of the patients assisted helps in the definition of management priorities, suggesting the need to create specific care lines for groups identified as high risk in order to reduce perioperative complications and deaths. Elsevier 2018-07-03 /pmc/articles/PMC9391804/ /pubmed/29776670 http://dx.doi.org/10.1016/j.bjane.2018.04.009 Text en © 2018 Sociedade Brasileira de Anestesiologia. Published by Elsevier Editora Ltda. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Scientific Article Stahlschmidt, Adriene Novelo, Betânia Freitas, Luiza Alexi Passos, Sávio Cavalcante Dussán-Sarria, Jairo Alberto Félix, Elaine Aparecida Gamermann, Patrícia Wajnberg Caumo, Wolnei Stefani, Luciana Paula Cadore Predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort |
title | Predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort |
title_full | Predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort |
title_fullStr | Predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort |
title_full_unstemmed | Predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort |
title_short | Predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort |
title_sort | predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort |
topic | Scientific Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391804/ https://www.ncbi.nlm.nih.gov/pubmed/29776670 http://dx.doi.org/10.1016/j.bjane.2018.04.009 |
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