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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Ning, Cui, Dalei, Shan, Li, Li, Haixia, Feng, Xuelian, Zeng, Huilan, Li, Lezhi
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