Cargando…
The prediction model for intraoperatively acquired pressure injuries in orthopedics based on the new risk factors: a real-world prospective observational, cross-sectional study
Introduction: Orthopedic patients are at high risk for intraoperatively acquired pressure injuries (IAPI), which cause a serious issue and lead to high-expense burden in patient care. However, there are currently no clinically available scales or models to assess IAPI associated with orthopedic surg...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401272/ https://www.ncbi.nlm.nih.gov/pubmed/37546531 http://dx.doi.org/10.3389/fphys.2023.1170564 |
_version_ | 1785084622650998784 |
---|---|
author | Li, Ning Cui, Dalei Shan, Li Li, Haixia Feng, Xuelian Zeng, Huilan Li, Lezhi |
author_facet | Li, Ning Cui, Dalei Shan, Li Li, Haixia Feng, Xuelian Zeng, Huilan Li, Lezhi |
author_sort | Li, Ning |
collection | PubMed |
description | Introduction: Orthopedic patients are at high risk for intraoperatively acquired pressure injuries (IAPI), which cause a serious issue and lead to high-expense burden in patient care. However, there are currently no clinically available scales or models to assess IAPI associated with orthopedic surgery. Methods: In this real-world, prospective observational, cross-sectional study, we identified pressure injuries (PI)-related risk factors using a systematic review approach and clinical practice experience. We then prepared a real-world cohort to identify and confirm risk factors using multiple modalities. We successfully identified new risk factors while constructing a predictive model for PI in orthopedic surgery. Results: We included 28 orthopedic intraoperative PI risk factors from previous studies and clinical practice. A total of 422 real-world cases were also included, and three independent risk factors—preoperative limb activity, intraoperative wetting of the compressed tissue, and duration of surgery—were successfully identified using chi-squared tests and logistic regression. Finally, the three independent risk factors were successfully used to construct a nomogram clinical prediction model with good predictive validity (area under the ROC curve = 0.77), which is expected to benefit clinical patients. Conclusion: In conclusion, we successfully identified new independent risk factors for IAPI-related injury in orthopedic patients and developed a clinical prediction model to serve as an important complement to existing scales and provide additional benefits to patients. Our study also suggests that a single measure is not sufficient for the prevention of IAPI in orthopedic surgery patients and that a combination of measures may be required for the effective prevention of IAPI. |
format | Online Article Text |
id | pubmed-10401272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104012722023-08-05 The prediction model for intraoperatively acquired pressure injuries in orthopedics based on the new risk factors: a real-world prospective observational, cross-sectional study Li, Ning Cui, Dalei Shan, Li Li, Haixia Feng, Xuelian Zeng, Huilan Li, Lezhi Front Physiol Physiology Introduction: Orthopedic patients are at high risk for intraoperatively acquired pressure injuries (IAPI), which cause a serious issue and lead to high-expense burden in patient care. However, there are currently no clinically available scales or models to assess IAPI associated with orthopedic surgery. Methods: In this real-world, prospective observational, cross-sectional study, we identified pressure injuries (PI)-related risk factors using a systematic review approach and clinical practice experience. We then prepared a real-world cohort to identify and confirm risk factors using multiple modalities. We successfully identified new risk factors while constructing a predictive model for PI in orthopedic surgery. Results: We included 28 orthopedic intraoperative PI risk factors from previous studies and clinical practice. A total of 422 real-world cases were also included, and three independent risk factors—preoperative limb activity, intraoperative wetting of the compressed tissue, and duration of surgery—were successfully identified using chi-squared tests and logistic regression. Finally, the three independent risk factors were successfully used to construct a nomogram clinical prediction model with good predictive validity (area under the ROC curve = 0.77), which is expected to benefit clinical patients. Conclusion: In conclusion, we successfully identified new independent risk factors for IAPI-related injury in orthopedic patients and developed a clinical prediction model to serve as an important complement to existing scales and provide additional benefits to patients. Our study also suggests that a single measure is not sufficient for the prevention of IAPI in orthopedic surgery patients and that a combination of measures may be required for the effective prevention of IAPI. Frontiers Media S.A. 2023-07-21 /pmc/articles/PMC10401272/ /pubmed/37546531 http://dx.doi.org/10.3389/fphys.2023.1170564 Text en Copyright © 2023 Li, Cui, Shan, Li, Feng, Zeng and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Li, Ning Cui, Dalei Shan, Li Li, Haixia Feng, Xuelian Zeng, Huilan Li, Lezhi The prediction model for intraoperatively acquired pressure injuries in orthopedics based on the new risk factors: a real-world prospective observational, cross-sectional study |
title | The prediction model for intraoperatively acquired pressure injuries in orthopedics based on the new risk factors: a real-world prospective observational, cross-sectional study |
title_full | The prediction model for intraoperatively acquired pressure injuries in orthopedics based on the new risk factors: a real-world prospective observational, cross-sectional study |
title_fullStr | The prediction model for intraoperatively acquired pressure injuries in orthopedics based on the new risk factors: a real-world prospective observational, cross-sectional study |
title_full_unstemmed | The prediction model for intraoperatively acquired pressure injuries in orthopedics based on the new risk factors: a real-world prospective observational, cross-sectional study |
title_short | The prediction model for intraoperatively acquired pressure injuries in orthopedics based on the new risk factors: a real-world prospective observational, cross-sectional study |
title_sort | prediction model for intraoperatively acquired pressure injuries in orthopedics based on the new risk factors: a real-world prospective observational, cross-sectional study |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401272/ https://www.ncbi.nlm.nih.gov/pubmed/37546531 http://dx.doi.org/10.3389/fphys.2023.1170564 |
work_keys_str_mv | AT lining thepredictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT cuidalei thepredictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT shanli thepredictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT lihaixia thepredictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT fengxuelian thepredictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT zenghuilan thepredictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT lilezhi thepredictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT lining predictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT cuidalei predictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT shanli predictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT lihaixia predictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT fengxuelian predictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT zenghuilan predictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy AT lilezhi predictionmodelforintraoperativelyacquiredpressureinjuriesinorthopedicsbasedonthenewriskfactorsarealworldprospectiveobservationalcrosssectionalstudy |