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The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients

BACKGROUND: Practical use of risk predictive tools and the assessment of their impact on outcome reduction is still a challenge. This pragmatic study of quality improvement (QI) describes the preoperative adoption of a customised postoperative death probability model (SAMPE model) and the evaluation...

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Autores principales: de Souza Gutierrez, Claudia, Bottega, Katia, de Jezus Castro, Stela Maris, Gravina, Gabriela Leal, Toralles, Eduardo Kohls, Silveira Martins, Otávio Ritter, Caumo, Wolnei, Stefani, Luciana Cadore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592468/
https://www.ncbi.nlm.nih.gov/pubmed/34780486
http://dx.doi.org/10.1371/journal.pone.0257941
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author de Souza Gutierrez, Claudia
Bottega, Katia
de Jezus Castro, Stela Maris
Gravina, Gabriela Leal
Toralles, Eduardo Kohls
Silveira Martins, Otávio Ritter
Caumo, Wolnei
Stefani, Luciana Cadore
author_facet de Souza Gutierrez, Claudia
Bottega, Katia
de Jezus Castro, Stela Maris
Gravina, Gabriela Leal
Toralles, Eduardo Kohls
Silveira Martins, Otávio Ritter
Caumo, Wolnei
Stefani, Luciana Cadore
author_sort de Souza Gutierrez, Claudia
collection PubMed
description BACKGROUND: Practical use of risk predictive tools and the assessment of their impact on outcome reduction is still a challenge. This pragmatic study of quality improvement (QI) describes the preoperative adoption of a customised postoperative death probability model (SAMPE model) and the evaluation of the impact of a Postoperative Anaesthetic Care Unit (PACU) pathway on the clinical deterioration of high-risk surgical patients. METHODS: A prospective cohort of 2,533 surgical patients compared with 2,820 historical controls after the adoption of a quality improvement (QI) intervention. We carried out quick postoperative high-risk pathways at PACU when the probability of postoperative death exceeded 5%. As outcome measures, we used the number of rapid response team (RRT) calls within 7 and 30 postoperative days, in-hospital mortality, and non-planned Intensive Care Unit (ICU) admission. RESULTS: Not only did the QI succeed in the implementation of a customised risk stratification model, but it also diminished the postoperative deterioration evaluated by RRT calls on very high-risk patients within 30 postoperative days (from 23% before to 14% after the intervention, p = 0.05). We achieved no survival benefits or reduction of non-planned ICU. The small group of high-risk patients (13% of the total) accounted for the highest proportion of RRT calls and postoperative death. CONCLUSION: Employing a risk predictive tool to guide immediate postoperative care may influence postoperative deterioration. It encouraged the design of pragmatic trials focused on feasible, low-technology, and long-term interventions that can be adapted to diverse health systems, especially those that demand more accurate decision making and ask for full engagement in the control of postoperative morbi-mortality.
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spelling pubmed-85924682021-11-16 The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients de Souza Gutierrez, Claudia Bottega, Katia de Jezus Castro, Stela Maris Gravina, Gabriela Leal Toralles, Eduardo Kohls Silveira Martins, Otávio Ritter Caumo, Wolnei Stefani, Luciana Cadore PLoS One Research Article BACKGROUND: Practical use of risk predictive tools and the assessment of their impact on outcome reduction is still a challenge. This pragmatic study of quality improvement (QI) describes the preoperative adoption of a customised postoperative death probability model (SAMPE model) and the evaluation of the impact of a Postoperative Anaesthetic Care Unit (PACU) pathway on the clinical deterioration of high-risk surgical patients. METHODS: A prospective cohort of 2,533 surgical patients compared with 2,820 historical controls after the adoption of a quality improvement (QI) intervention. We carried out quick postoperative high-risk pathways at PACU when the probability of postoperative death exceeded 5%. As outcome measures, we used the number of rapid response team (RRT) calls within 7 and 30 postoperative days, in-hospital mortality, and non-planned Intensive Care Unit (ICU) admission. RESULTS: Not only did the QI succeed in the implementation of a customised risk stratification model, but it also diminished the postoperative deterioration evaluated by RRT calls on very high-risk patients within 30 postoperative days (from 23% before to 14% after the intervention, p = 0.05). We achieved no survival benefits or reduction of non-planned ICU. The small group of high-risk patients (13% of the total) accounted for the highest proportion of RRT calls and postoperative death. CONCLUSION: Employing a risk predictive tool to guide immediate postoperative care may influence postoperative deterioration. It encouraged the design of pragmatic trials focused on feasible, low-technology, and long-term interventions that can be adapted to diverse health systems, especially those that demand more accurate decision making and ask for full engagement in the control of postoperative morbi-mortality. Public Library of Science 2021-11-15 /pmc/articles/PMC8592468/ /pubmed/34780486 http://dx.doi.org/10.1371/journal.pone.0257941 Text en © 2021 de Souza Gutierrez et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
de Souza Gutierrez, Claudia
Bottega, Katia
de Jezus Castro, Stela Maris
Gravina, Gabriela Leal
Toralles, Eduardo Kohls
Silveira Martins, Otávio Ritter
Caumo, Wolnei
Stefani, Luciana Cadore
The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients
title The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients
title_full The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients
title_fullStr The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients
title_full_unstemmed The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients
title_short The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients
title_sort impact of the incorporation of a feasible postoperative mortality model at the post-anaesthestic care unit (pacu) on postoperative clinical deterioration: a pragmatic trial with 5,353 patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592468/
https://www.ncbi.nlm.nih.gov/pubmed/34780486
http://dx.doi.org/10.1371/journal.pone.0257941
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