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Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models

BACKGROUND: Falls are serious health events that can cause life-threatening injuries, especially among specific populations. This study assessed the risk factors associated with falls among inpatients with hematological diseases and explored the predictive value of fall risk assessment models. METHO...

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Autores principales: Wang, Jing, Chen, Bin, Xu, Fang, Chen, Qin, Yue, Jing, Wen, Jingjing, Zhao, Fang, Gou, Min, Zhang, Ya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335796/
https://www.ncbi.nlm.nih.gov/pubmed/37441635
http://dx.doi.org/10.3389/fpubh.2023.1150333
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author Wang, Jing
Chen, Bin
Xu, Fang
Chen, Qin
Yue, Jing
Wen, Jingjing
Zhao, Fang
Gou, Min
Zhang, Ya
author_facet Wang, Jing
Chen, Bin
Xu, Fang
Chen, Qin
Yue, Jing
Wen, Jingjing
Zhao, Fang
Gou, Min
Zhang, Ya
author_sort Wang, Jing
collection PubMed
description BACKGROUND: Falls are serious health events that can cause life-threatening injuries, especially among specific populations. This study assessed the risk factors associated with falls among inpatients with hematological diseases and explored the predictive value of fall risk assessment models. METHODS: Clinical data from 275 eligible hematology disease patients who visited Mianyang Central Hospital with or without falls from September 2019 to August 2022 were retrospectively analyzed. Fall risk scores were determined in all included patients. Clinical characteristics were compared between patients with and without falls. Binary logistic regression models were used to screen for potential fall-specific risk factors among hospitalized patients with hematology diseases. RESULTS: Falls occurred in 79 cases. Patients in the fall group had a higher Charlson Comorbidity Index (CCI), a higher incidence of diabetes mellitus, visual impairment, hematological malignancies, and maintenance of stable disease stage, higher glucose levels, and a greater proportion of dizziness, nocturnal defecation, and receipt of intensive chemotherapy than those in the non-fall group (all P < 0.05). Fall patients were also more likely to have used diuretics, laxatives, sedative-sleeping drugs, analgesics, albumin, and calcium, and to have had catheters placed. The Barthel Index, grade of nursing care, support of chaperones, body temperature, nutrition score, and pain score also differed significantly between the two groups (all P < 0.05). Multivariable logistic regression analysis showed that the maintenance of stable disease stage (OR = 4.40, 95% CI 2.11–9.18, P < 0.001), use of sedative and sleeping drugs (OR = 4.84, 95% CI 1.09–21.49, P = 0.038), use of diuretics (OR = 5.23, 95% CI 2.40–11.41, P < 0.001), and intensive chemotherapy (OR = 10.41, 95% CI 3.11–34.87, P < 0.001) were independent risk factors for falls. A high Barthel Index (OR = 0.95, 95% CI 0.93–0.97, P < 0.001), a high level of nursing care (OR = 0.19, 95% CI 0.04–0.98, P = 0.047), and availability of family accompaniment (OR = 0.15, 95% CI 0.06–0.34, P < 0.001) were protective factors for falls. A ROC curve analysis was used to evaluate the predictive value of different fall-specific risk scales among inpatients with hematological diseases. The Johns Hopkins Fall Risk Rating Scale had high sensibility and specificity with an area under the curve of 0.73 (95% CI 0.66–0.80, P < 0.001). CONCLUSION: The Johns Hopkins Fall Risk Scale had a strong predictive value for falls among hospitalized patients with hematology diseases and can be recommended as a valid tool for clinical use.
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spelling pubmed-103357962023-07-12 Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models Wang, Jing Chen, Bin Xu, Fang Chen, Qin Yue, Jing Wen, Jingjing Zhao, Fang Gou, Min Zhang, Ya Front Public Health Public Health BACKGROUND: Falls are serious health events that can cause life-threatening injuries, especially among specific populations. This study assessed the risk factors associated with falls among inpatients with hematological diseases and explored the predictive value of fall risk assessment models. METHODS: Clinical data from 275 eligible hematology disease patients who visited Mianyang Central Hospital with or without falls from September 2019 to August 2022 were retrospectively analyzed. Fall risk scores were determined in all included patients. Clinical characteristics were compared between patients with and without falls. Binary logistic regression models were used to screen for potential fall-specific risk factors among hospitalized patients with hematology diseases. RESULTS: Falls occurred in 79 cases. Patients in the fall group had a higher Charlson Comorbidity Index (CCI), a higher incidence of diabetes mellitus, visual impairment, hematological malignancies, and maintenance of stable disease stage, higher glucose levels, and a greater proportion of dizziness, nocturnal defecation, and receipt of intensive chemotherapy than those in the non-fall group (all P < 0.05). Fall patients were also more likely to have used diuretics, laxatives, sedative-sleeping drugs, analgesics, albumin, and calcium, and to have had catheters placed. The Barthel Index, grade of nursing care, support of chaperones, body temperature, nutrition score, and pain score also differed significantly between the two groups (all P < 0.05). Multivariable logistic regression analysis showed that the maintenance of stable disease stage (OR = 4.40, 95% CI 2.11–9.18, P < 0.001), use of sedative and sleeping drugs (OR = 4.84, 95% CI 1.09–21.49, P = 0.038), use of diuretics (OR = 5.23, 95% CI 2.40–11.41, P < 0.001), and intensive chemotherapy (OR = 10.41, 95% CI 3.11–34.87, P < 0.001) were independent risk factors for falls. A high Barthel Index (OR = 0.95, 95% CI 0.93–0.97, P < 0.001), a high level of nursing care (OR = 0.19, 95% CI 0.04–0.98, P = 0.047), and availability of family accompaniment (OR = 0.15, 95% CI 0.06–0.34, P < 0.001) were protective factors for falls. A ROC curve analysis was used to evaluate the predictive value of different fall-specific risk scales among inpatients with hematological diseases. The Johns Hopkins Fall Risk Rating Scale had high sensibility and specificity with an area under the curve of 0.73 (95% CI 0.66–0.80, P < 0.001). CONCLUSION: The Johns Hopkins Fall Risk Scale had a strong predictive value for falls among hospitalized patients with hematology diseases and can be recommended as a valid tool for clinical use. Frontiers Media S.A. 2023-06-27 /pmc/articles/PMC10335796/ /pubmed/37441635 http://dx.doi.org/10.3389/fpubh.2023.1150333 Text en Copyright © 2023 Wang, Chen, Xu, Chen, Yue, Wen, Zhao, Gou and Zhang. 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 Public Health
Wang, Jing
Chen, Bin
Xu, Fang
Chen, Qin
Yue, Jing
Wen, Jingjing
Zhao, Fang
Gou, Min
Zhang, Ya
Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models
title Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models
title_full Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models
title_fullStr Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models
title_full_unstemmed Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models
title_short Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models
title_sort clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335796/
https://www.ncbi.nlm.nih.gov/pubmed/37441635
http://dx.doi.org/10.3389/fpubh.2023.1150333
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