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Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases

BACKGROUND: In the trauma center wards, it is not unusual for patients to have sleep disorders, especially patients with an acute injury. Meanwhile, there is substantial evidence that sleep disorder is a predictor of depression and is an important feature of posttraumatic stress disorder. METHODS: A...

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Autores principales: Yang, Hai, Liu, Yi-jia, Ye, Jia-lu, Zhao, Li-hong, Li, Ling-li, Hou, Xiao-ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164244/
https://www.ncbi.nlm.nih.gov/pubmed/34051808
http://dx.doi.org/10.1186/s13018-021-02487-2
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author Yang, Hai
Liu, Yi-jia
Ye, Jia-lu
Zhao, Li-hong
Li, Ling-li
Hou, Xiao-ling
author_facet Yang, Hai
Liu, Yi-jia
Ye, Jia-lu
Zhao, Li-hong
Li, Ling-li
Hou, Xiao-ling
author_sort Yang, Hai
collection PubMed
description BACKGROUND: In the trauma center wards, it is not unusual for patients to have sleep disorders, especially patients with an acute injury. Meanwhile, there is substantial evidence that sleep disorder is a predictor of depression and is an important feature of posttraumatic stress disorder. METHODS: All orthopedic trauma patients confined in a trauma ward in West China Hospital of Sichuan University between April 2018 and July 2019 were included in this retrospective study. Patients with mental impairment or craniocerebral injuries were excluded from the study. Basic demographic data and the Injury Severity Score (ISS) classification based on medical records were collected. The Pittsburgh sleep quality index (PSQI) was used to evaluate sleep quality, the visual analog scale (VAS) was used to evaluate physical pain, and the Barthel Index (BI) was used to evaluate activities of daily living (ADL). Univariate linear regression analysis and multivariate linear regression analysis were used to identify independently related factors. RESULTS: The average PSQI score was 6.3 (± 4.0). A total of 581 (51.4%) patients had a PSQI score > 5, indicating the presence of sleep disorders. The PSQI score was > 10 in 174 (15.4%) patients. Univariate statistical analysis showed that age, sex, education, ADL, and ISS classification were associated with increased PSQI scores. Marital status and pain were not associated with increased PSQI scores. When we used multivariate analysis to control for confounding variables, sex, ADL, and ISS classification remained independently associated with PSQI (P = 0.002, < 0.000, and 0.002, respectively). CONCLUSIONS: In our study, sleep disorders were common (51.4% with PSQI > 5) and serious (15.4% with PSQI > 10) in patients with traumatic orthopedic injury. The following factors were closely associated with sleep disorders: sex, ADL, and ISS classification. Moreover, age and educational attainment have an independent impact on sleep quality. Unexpectedly, the VAS score for pain was not independently associated with the seriousness of sleep quality, which may be related to preemptive and multimodal analgesia. Further studies are required to clarify this ambiguity.
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spelling pubmed-81642442021-06-01 Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases Yang, Hai Liu, Yi-jia Ye, Jia-lu Zhao, Li-hong Li, Ling-li Hou, Xiao-ling J Orthop Surg Res Research Article BACKGROUND: In the trauma center wards, it is not unusual for patients to have sleep disorders, especially patients with an acute injury. Meanwhile, there is substantial evidence that sleep disorder is a predictor of depression and is an important feature of posttraumatic stress disorder. METHODS: All orthopedic trauma patients confined in a trauma ward in West China Hospital of Sichuan University between April 2018 and July 2019 were included in this retrospective study. Patients with mental impairment or craniocerebral injuries were excluded from the study. Basic demographic data and the Injury Severity Score (ISS) classification based on medical records were collected. The Pittsburgh sleep quality index (PSQI) was used to evaluate sleep quality, the visual analog scale (VAS) was used to evaluate physical pain, and the Barthel Index (BI) was used to evaluate activities of daily living (ADL). Univariate linear regression analysis and multivariate linear regression analysis were used to identify independently related factors. RESULTS: The average PSQI score was 6.3 (± 4.0). A total of 581 (51.4%) patients had a PSQI score > 5, indicating the presence of sleep disorders. The PSQI score was > 10 in 174 (15.4%) patients. Univariate statistical analysis showed that age, sex, education, ADL, and ISS classification were associated with increased PSQI scores. Marital status and pain were not associated with increased PSQI scores. When we used multivariate analysis to control for confounding variables, sex, ADL, and ISS classification remained independently associated with PSQI (P = 0.002, < 0.000, and 0.002, respectively). CONCLUSIONS: In our study, sleep disorders were common (51.4% with PSQI > 5) and serious (15.4% with PSQI > 10) in patients with traumatic orthopedic injury. The following factors were closely associated with sleep disorders: sex, ADL, and ISS classification. Moreover, age and educational attainment have an independent impact on sleep quality. Unexpectedly, the VAS score for pain was not independently associated with the seriousness of sleep quality, which may be related to preemptive and multimodal analgesia. Further studies are required to clarify this ambiguity. BioMed Central 2021-05-29 /pmc/articles/PMC8164244/ /pubmed/34051808 http://dx.doi.org/10.1186/s13018-021-02487-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Yang, Hai
Liu, Yi-jia
Ye, Jia-lu
Zhao, Li-hong
Li, Ling-li
Hou, Xiao-ling
Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases
title Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases
title_full Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases
title_fullStr Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases
title_full_unstemmed Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases
title_short Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases
title_sort evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164244/
https://www.ncbi.nlm.nih.gov/pubmed/34051808
http://dx.doi.org/10.1186/s13018-021-02487-2
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