Cargando…
Factors associated with hospitalization times and length of stay in patients with bipolar disorder
AIM: Appraise the clinical features and influencing factors of the hospitalization times and length of stay in bipolar disorder (BD) patients. METHODS: This is a multicenter, observational, cohort study of patients diagnosed of type I or type II bipolar disorder. Five hundred twenty outpatients in s...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235542/ https://www.ncbi.nlm.nih.gov/pubmed/37275983 http://dx.doi.org/10.3389/fpsyt.2023.1140908 |
_version_ | 1785052704857391104 |
---|---|
author | Shi, Xiaoning Zhao, Yingying Yang, Haichen Xu, Xiufeng Fang, Yiru Yu, Xin Tan, Qingrong Li, Huichun Sun, Guangqiang Wu, Hang Wang, Pengfei Yang, Jie Zhu, Xuequan Wang, Gang Zhang, Ling |
author_facet | Shi, Xiaoning Zhao, Yingying Yang, Haichen Xu, Xiufeng Fang, Yiru Yu, Xin Tan, Qingrong Li, Huichun Sun, Guangqiang Wu, Hang Wang, Pengfei Yang, Jie Zhu, Xuequan Wang, Gang Zhang, Ling |
author_sort | Shi, Xiaoning |
collection | PubMed |
description | AIM: Appraise the clinical features and influencing factors of the hospitalization times and length of stay in bipolar disorder (BD) patients. METHODS: This is a multicenter, observational, cohort study of patients diagnosed of type I or type II bipolar disorder. Five hundred twenty outpatients in seven hospitals from six cities in China were recruited from February 2013 to June 2014 and followed up using a continuous sampling pattern. The research included a retrospective period of 12 months and the prospective period of 9 months. The demographic and clinical features of the patients were collected. The influencing factors that could affect the length of stay (number of days spent in the hospital in the prospective period) were analyzed by poisson's regression and the hospitalization times (times of hospitalization in the prospective and retrospective period) was analyzed by general linear model. The selected variables included gender, age, years of education, occupational status, residence status, family history of mental disease, comorbid substance abuse, comorbid anxiety disorder, times of suicide (total suicide times that occurred in the retrospective and prospective period), polarity of the first mood episode, and BD type(I/II). RESULTS: Poisson's regression analysis showed that suicide times [Incidence Rate Ratio (IRR) = 1.20, p < 0.001], use of antipsychotic (IRR = 0.62, p = 0.011), and use of antidepressant (IRR = 0.56, p < 0.001) were correlated to more hospitalization times. Linear regression analysis showed that BD type II (β = 0.28, p = 0.005) and unemployment (β = 0.16, p = 0.039) which might mean longer duration of depression and poor function were correlated to longer length of stay. However, patients who experienced more suicide times (β = −0.21, p = 0.007) tended to have a shorter length of stay. CONCLUSION: Overall, better management of the depressive episode and functional rehabilitation may help to reduce the length of stay. BD patients with more hospitalization times were characterized by higher risk of suicide and complex polypharmacy. Patients at high risk of suicide tended to have inadequate therapy and poor compliance, which should be assessed and treated adequately during hospitalization. CLINICAL TRIAL REGISTRATION: www.ClinicalTrials.gov, Identifier: NCT01770704. |
format | Online Article Text |
id | pubmed-10235542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102355422023-06-03 Factors associated with hospitalization times and length of stay in patients with bipolar disorder Shi, Xiaoning Zhao, Yingying Yang, Haichen Xu, Xiufeng Fang, Yiru Yu, Xin Tan, Qingrong Li, Huichun Sun, Guangqiang Wu, Hang Wang, Pengfei Yang, Jie Zhu, Xuequan Wang, Gang Zhang, Ling Front Psychiatry Psychiatry AIM: Appraise the clinical features and influencing factors of the hospitalization times and length of stay in bipolar disorder (BD) patients. METHODS: This is a multicenter, observational, cohort study of patients diagnosed of type I or type II bipolar disorder. Five hundred twenty outpatients in seven hospitals from six cities in China were recruited from February 2013 to June 2014 and followed up using a continuous sampling pattern. The research included a retrospective period of 12 months and the prospective period of 9 months. The demographic and clinical features of the patients were collected. The influencing factors that could affect the length of stay (number of days spent in the hospital in the prospective period) were analyzed by poisson's regression and the hospitalization times (times of hospitalization in the prospective and retrospective period) was analyzed by general linear model. The selected variables included gender, age, years of education, occupational status, residence status, family history of mental disease, comorbid substance abuse, comorbid anxiety disorder, times of suicide (total suicide times that occurred in the retrospective and prospective period), polarity of the first mood episode, and BD type(I/II). RESULTS: Poisson's regression analysis showed that suicide times [Incidence Rate Ratio (IRR) = 1.20, p < 0.001], use of antipsychotic (IRR = 0.62, p = 0.011), and use of antidepressant (IRR = 0.56, p < 0.001) were correlated to more hospitalization times. Linear regression analysis showed that BD type II (β = 0.28, p = 0.005) and unemployment (β = 0.16, p = 0.039) which might mean longer duration of depression and poor function were correlated to longer length of stay. However, patients who experienced more suicide times (β = −0.21, p = 0.007) tended to have a shorter length of stay. CONCLUSION: Overall, better management of the depressive episode and functional rehabilitation may help to reduce the length of stay. BD patients with more hospitalization times were characterized by higher risk of suicide and complex polypharmacy. Patients at high risk of suicide tended to have inadequate therapy and poor compliance, which should be assessed and treated adequately during hospitalization. CLINICAL TRIAL REGISTRATION: www.ClinicalTrials.gov, Identifier: NCT01770704. Frontiers Media S.A. 2023-05-19 /pmc/articles/PMC10235542/ /pubmed/37275983 http://dx.doi.org/10.3389/fpsyt.2023.1140908 Text en Copyright © 2023 Shi, Zhao, Yang, Xu, Fang, Yu, Tan, Li, Sun, Wu, Wang, Yang, Zhu, Wang 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 | Psychiatry Shi, Xiaoning Zhao, Yingying Yang, Haichen Xu, Xiufeng Fang, Yiru Yu, Xin Tan, Qingrong Li, Huichun Sun, Guangqiang Wu, Hang Wang, Pengfei Yang, Jie Zhu, Xuequan Wang, Gang Zhang, Ling Factors associated with hospitalization times and length of stay in patients with bipolar disorder |
title | Factors associated with hospitalization times and length of stay in patients with bipolar disorder |
title_full | Factors associated with hospitalization times and length of stay in patients with bipolar disorder |
title_fullStr | Factors associated with hospitalization times and length of stay in patients with bipolar disorder |
title_full_unstemmed | Factors associated with hospitalization times and length of stay in patients with bipolar disorder |
title_short | Factors associated with hospitalization times and length of stay in patients with bipolar disorder |
title_sort | factors associated with hospitalization times and length of stay in patients with bipolar disorder |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235542/ https://www.ncbi.nlm.nih.gov/pubmed/37275983 http://dx.doi.org/10.3389/fpsyt.2023.1140908 |
work_keys_str_mv | AT shixiaoning factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT zhaoyingying factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT yanghaichen factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT xuxiufeng factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT fangyiru factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT yuxin factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT tanqingrong factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT lihuichun factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT sunguangqiang factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT wuhang factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT wangpengfei factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT yangjie factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT zhuxuequan factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT wanggang factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder AT zhangling factorsassociatedwithhospitalizationtimesandlengthofstayinpatientswithbipolardisorder |