A Nomogram for Predicting Physical Restraint of Patients in Intensive Care Unit

Background. Despite its ethical implications, physical restraint (PR) is widely used in the intensive care unit (ICU) to guarantee the safety of patients. This study investigated the frequency and risk factors of PR use for patients in the ICU to establish a predictive nomogram. Methods. Clinical pa...

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Main Authors: Yun Wang, Ying Liu, Ya-Li Tian, Su-Lian Gu
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Emergency Medicine International
Online Access:http://dx.doi.org/10.1155/2023/6618366
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author Yun Wang
Ying Liu
Ya-Li Tian
Su-Lian Gu
author_facet Yun Wang
Ying Liu
Ya-Li Tian
Su-Lian Gu
author_sort Yun Wang
collection DOAJ
description Background. Despite its ethical implications, physical restraint (PR) is widely used in the intensive care unit (ICU) to guarantee the safety of patients. This study investigated the frequency and risk factors of PR use for patients in the ICU to establish a predictive nomogram. Methods. Clinical parameters of patients admitted to the ICU of Jiangsu Province Hospital from January 2021 to July 2021 were retrospectively collected. Independent risk factors of PR were analyzed by univariate and multivariate logistic regression analyses. The R software was used to establish the nomogram. Model performance was validated using the concordance-index (C-index) and calibration curves. Results. The rate of PR use was 46.32% (233/503 patients). Age (B = 0.036, odds ratio [OR]: 1.037, 95% confidence interval [CI]: 1.022–1.052, P<0.001), consciousness disorder (B = 0.770, OR: 2.159, 95% CI: 1.216–3.832, P=0.009), coma (B = −1.666, OR: 0.189, 95% CI: 0.101–0.353, P<0.001), passive activity (B = 1.014, OR: 2.756, 95% CI: 1.644–4.618, P<0.001), delirium (B = 0.993, OR: 2.699, 95% CI: 1.097–6.642, P=0.031), −3 < Richmond Agitation Sedation Scale (RASS) score <2 (B = 0.698, OR: 2.009, 95% CI: 1.026–3.935, P=0.042), RASS score ≥2 (B = 1.253, OR: 3.499, 95% CI: 1.126–10.875, P=0.030), and mechanical ventilation (B = 1.696, OR: 5.455, 95% CI: 2.804–10.611, P<0.001) were identified as independent risk factors for PR in the ICU (P<0.05) and included in the nomogram. The C-index was 0.830, and the calibration curve indicated good discriminatory ability and accuracy (mean absolute error: 0.026). Conclusion. The prediction nomogram model of PR in ICU was established based on age, mobility, delirium, consciousness, RASS score, and mechanical ventilation. It showed good discrimination and accuracy. This nomogram may predict the probability of PR use in the ICU and guide nurses in developing precise interventions to reduce the rate of PR.
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spelling doaj-art-5a4e0de490f940ea928939965e66ce2e2025-02-03T06:43:01ZengWileyEmergency Medicine International2090-28592023-01-01202310.1155/2023/6618366A Nomogram for Predicting Physical Restraint of Patients in Intensive Care UnitYun Wang0Ying Liu1Ya-Li Tian2Su-Lian Gu3Department of Geriatric ICUDepartment of ICUDepartment of Geriatric ICUDepartment of Neurology ICUBackground. Despite its ethical implications, physical restraint (PR) is widely used in the intensive care unit (ICU) to guarantee the safety of patients. This study investigated the frequency and risk factors of PR use for patients in the ICU to establish a predictive nomogram. Methods. Clinical parameters of patients admitted to the ICU of Jiangsu Province Hospital from January 2021 to July 2021 were retrospectively collected. Independent risk factors of PR were analyzed by univariate and multivariate logistic regression analyses. The R software was used to establish the nomogram. Model performance was validated using the concordance-index (C-index) and calibration curves. Results. The rate of PR use was 46.32% (233/503 patients). Age (B = 0.036, odds ratio [OR]: 1.037, 95% confidence interval [CI]: 1.022–1.052, P<0.001), consciousness disorder (B = 0.770, OR: 2.159, 95% CI: 1.216–3.832, P=0.009), coma (B = −1.666, OR: 0.189, 95% CI: 0.101–0.353, P<0.001), passive activity (B = 1.014, OR: 2.756, 95% CI: 1.644–4.618, P<0.001), delirium (B = 0.993, OR: 2.699, 95% CI: 1.097–6.642, P=0.031), −3 < Richmond Agitation Sedation Scale (RASS) score <2 (B = 0.698, OR: 2.009, 95% CI: 1.026–3.935, P=0.042), RASS score ≥2 (B = 1.253, OR: 3.499, 95% CI: 1.126–10.875, P=0.030), and mechanical ventilation (B = 1.696, OR: 5.455, 95% CI: 2.804–10.611, P<0.001) were identified as independent risk factors for PR in the ICU (P<0.05) and included in the nomogram. The C-index was 0.830, and the calibration curve indicated good discriminatory ability and accuracy (mean absolute error: 0.026). Conclusion. The prediction nomogram model of PR in ICU was established based on age, mobility, delirium, consciousness, RASS score, and mechanical ventilation. It showed good discrimination and accuracy. This nomogram may predict the probability of PR use in the ICU and guide nurses in developing precise interventions to reduce the rate of PR.http://dx.doi.org/10.1155/2023/6618366
spellingShingle Yun Wang
Ying Liu
Ya-Li Tian
Su-Lian Gu
A Nomogram for Predicting Physical Restraint of Patients in Intensive Care Unit
Emergency Medicine International
title A Nomogram for Predicting Physical Restraint of Patients in Intensive Care Unit
title_full A Nomogram for Predicting Physical Restraint of Patients in Intensive Care Unit
title_fullStr A Nomogram for Predicting Physical Restraint of Patients in Intensive Care Unit
title_full_unstemmed A Nomogram for Predicting Physical Restraint of Patients in Intensive Care Unit
title_short A Nomogram for Predicting Physical Restraint of Patients in Intensive Care Unit
title_sort nomogram for predicting physical restraint of patients in intensive care unit
url http://dx.doi.org/10.1155/2023/6618366
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