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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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Autores principales: Wang, Yun, Liu, Ying, Tian, Ya-Li, Gu, Su-Lian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125770/
https://www.ncbi.nlm.nih.gov/pubmed/37101766
http://dx.doi.org/10.1155/2023/6618366
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author Wang, Yun
Liu, Ying
Tian, Ya-Li
Gu, Su-Lian
author_facet Wang, Yun
Liu, Ying
Tian, Ya-Li
Gu, Su-Lian
author_sort Wang, Yun
collection PubMed
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 pubmed-101257702023-04-25 A Nomogram for Predicting Physical Restraint of Patients in Intensive Care Unit Wang, Yun Liu, Ying Tian, Ya-Li Gu, Su-Lian Emerg Med Int Research Article 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. Hindawi 2023-04-17 /pmc/articles/PMC10125770/ /pubmed/37101766 http://dx.doi.org/10.1155/2023/6618366 Text en Copyright © 2023 Yun Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Yun
Liu, Ying
Tian, Ya-Li
Gu, Su-Lian
A Nomogram for Predicting Physical Restraint of Patients in Intensive Care Unit
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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125770/
https://www.ncbi.nlm.nih.gov/pubmed/37101766
http://dx.doi.org/10.1155/2023/6618366
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