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Introducing an AKI predictive tool for patients undergoing orthopaedic surgery
Patients undergoing surgery are at increased risk of acute kidney injury (AKI). AKI is associated with adverse outcomes such as increased mortality and future risk of developing chronic kidney disease. We have developed a validated preoperative scoring tool to predict postoperative AKI in patients u...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440603/ https://www.ncbi.nlm.nih.gov/pubmed/30997409 http://dx.doi.org/10.1136/bmjoq-2017-000306 |
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author | Baird, David Paul Rae, Fraser Beecroft, Christina Gallagher, Katherine Sim, Stephanie Vaessen, Robert Wright, Emily Bell, Samira |
author_facet | Baird, David Paul Rae, Fraser Beecroft, Christina Gallagher, Katherine Sim, Stephanie Vaessen, Robert Wright, Emily Bell, Samira |
author_sort | Baird, David Paul |
collection | PubMed |
description | Patients undergoing surgery are at increased risk of acute kidney injury (AKI). AKI is associated with adverse outcomes such as increased mortality and future risk of developing chronic kidney disease. We have developed a validated preoperative scoring tool to predict postoperative AKI in patients undergoing orthopaedic surgery using seven readily available parameters. The aim of this project was to establish the use of this scoring tool with a target compliance of 80% in patients undergoing orthopaedic surgery requiring an overnight stay at Perth Royal Infirmary, a district general hospital in NHS Tayside. We created an intervention bundle for patients at high risk of AKI, which we defined as greater than 10%. An electronic tool available on smartphones and desktop computers was developed that can be used to calculate the score. The interventions were incorporated into the electronic tool and posters outlining the intervention were placed in clinical areas. Patients undergoing elective procedures were scored in the preassessment clinic while emergency patients were scored by the admitting doctors. The score was introduced using four PDSA cycles. This confirmed that the scoring tool functioned well and was being used accurately. Compliance for patients undergoing elective surgery was reasonable at 19/24 (79%) in the third and fourth PDSA cycles but was poorer for emergency admissions with compliance of only 3/7 (43%). There was excellent compliance with the suggested medication changes and postoperative blood test monitoring as advised by our intervention bundle for those at high risk of AKI. Fluid balance monitoring was advised for all patients but the outcome was similar following our intervention at 27/41 (66%) compared with 23/37 (62%) in the baseline data collection. Compliance with fluid balance monitoring was higher in patients at high risk of AKI (9/12, 75%). |
format | Online Article Text |
id | pubmed-6440603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-64406032019-04-17 Introducing an AKI predictive tool for patients undergoing orthopaedic surgery Baird, David Paul Rae, Fraser Beecroft, Christina Gallagher, Katherine Sim, Stephanie Vaessen, Robert Wright, Emily Bell, Samira BMJ Open Qual BMJ Quality Improvement report Patients undergoing surgery are at increased risk of acute kidney injury (AKI). AKI is associated with adverse outcomes such as increased mortality and future risk of developing chronic kidney disease. We have developed a validated preoperative scoring tool to predict postoperative AKI in patients undergoing orthopaedic surgery using seven readily available parameters. The aim of this project was to establish the use of this scoring tool with a target compliance of 80% in patients undergoing orthopaedic surgery requiring an overnight stay at Perth Royal Infirmary, a district general hospital in NHS Tayside. We created an intervention bundle for patients at high risk of AKI, which we defined as greater than 10%. An electronic tool available on smartphones and desktop computers was developed that can be used to calculate the score. The interventions were incorporated into the electronic tool and posters outlining the intervention were placed in clinical areas. Patients undergoing elective procedures were scored in the preassessment clinic while emergency patients were scored by the admitting doctors. The score was introduced using four PDSA cycles. This confirmed that the scoring tool functioned well and was being used accurately. Compliance for patients undergoing elective surgery was reasonable at 19/24 (79%) in the third and fourth PDSA cycles but was poorer for emergency admissions with compliance of only 3/7 (43%). There was excellent compliance with the suggested medication changes and postoperative blood test monitoring as advised by our intervention bundle for those at high risk of AKI. Fluid balance monitoring was advised for all patients but the outcome was similar following our intervention at 27/41 (66%) compared with 23/37 (62%) in the baseline data collection. Compliance with fluid balance monitoring was higher in patients at high risk of AKI (9/12, 75%). BMJ Publishing Group 2019-03-29 /pmc/articles/PMC6440603/ /pubmed/30997409 http://dx.doi.org/10.1136/bmjoq-2017-000306 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | BMJ Quality Improvement report Baird, David Paul Rae, Fraser Beecroft, Christina Gallagher, Katherine Sim, Stephanie Vaessen, Robert Wright, Emily Bell, Samira Introducing an AKI predictive tool for patients undergoing orthopaedic surgery |
title | Introducing an AKI predictive tool for patients undergoing orthopaedic surgery |
title_full | Introducing an AKI predictive tool for patients undergoing orthopaedic surgery |
title_fullStr | Introducing an AKI predictive tool for patients undergoing orthopaedic surgery |
title_full_unstemmed | Introducing an AKI predictive tool for patients undergoing orthopaedic surgery |
title_short | Introducing an AKI predictive tool for patients undergoing orthopaedic surgery |
title_sort | introducing an aki predictive tool for patients undergoing orthopaedic surgery |
topic | BMJ Quality Improvement report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440603/ https://www.ncbi.nlm.nih.gov/pubmed/30997409 http://dx.doi.org/10.1136/bmjoq-2017-000306 |
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