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Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder

OBJECTIVE: Predicting disease relapse and early intervention could reduce symptom severity. We attempted to identify potential indicators that predict the duration to next admission for an acute affective episode in patients with bipolar I disorder. METHODS: We mathematically defined the duration to...

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Autores principales: Chen, Pao-Huan, Shih, Chun-Ming, Chang, Chi-Kang, Lin, Chia-Pei, Chang, Yung-Han, Lee, Hsin-Chien, Loh, El-Wui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean College of Neuropsychopharmacology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157006/
https://www.ncbi.nlm.nih.gov/pubmed/37119218
http://dx.doi.org/10.9758/cpn.2023.21.2.262
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author Chen, Pao-Huan
Shih, Chun-Ming
Chang, Chi-Kang
Lin, Chia-Pei
Chang, Yung-Han
Lee, Hsin-Chien
Loh, El-Wui
author_facet Chen, Pao-Huan
Shih, Chun-Ming
Chang, Chi-Kang
Lin, Chia-Pei
Chang, Yung-Han
Lee, Hsin-Chien
Loh, El-Wui
author_sort Chen, Pao-Huan
collection PubMed
description OBJECTIVE: Predicting disease relapse and early intervention could reduce symptom severity. We attempted to identify potential indicators that predict the duration to next admission for an acute affective episode in patients with bipolar I disorder. METHODS: We mathematically defined the duration to next psychiatric admission and performed single-variate regressions using historical data of 101 patients with bipolar I disorder to screen for potential variables for further multivariate regressions. RESULTS: Age of onset, total psychiatric admissions, length of lithium use, and carbamazepine use during the psychiatric hospitalization contributed to the next psychiatric admission duration positively. The all-in-one found that hyperlipidemia during the psychiatric hospitalization demonstrated a negative contribution to the duration to next psychiatric admission; the last duration to psychiatric admission, lithium and carbamazepine uses during the psychiatric hospitalization, and heart rate on the discharge day positively contributed to the duration to next admission. CONCLUSION: We identified essential variables that may predict the duration of bipolar I patients’ next psychiatric admission. The correlation of a faster heartbeat and a normal lipid profile in delaying the next onset highlights the importance of managing these parameters when treating bipolar I disorder.
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spelling pubmed-101570062023-05-30 Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder Chen, Pao-Huan Shih, Chun-Ming Chang, Chi-Kang Lin, Chia-Pei Chang, Yung-Han Lee, Hsin-Chien Loh, El-Wui Clin Psychopharmacol Neurosci Original Article OBJECTIVE: Predicting disease relapse and early intervention could reduce symptom severity. We attempted to identify potential indicators that predict the duration to next admission for an acute affective episode in patients with bipolar I disorder. METHODS: We mathematically defined the duration to next psychiatric admission and performed single-variate regressions using historical data of 101 patients with bipolar I disorder to screen for potential variables for further multivariate regressions. RESULTS: Age of onset, total psychiatric admissions, length of lithium use, and carbamazepine use during the psychiatric hospitalization contributed to the next psychiatric admission duration positively. The all-in-one found that hyperlipidemia during the psychiatric hospitalization demonstrated a negative contribution to the duration to next psychiatric admission; the last duration to psychiatric admission, lithium and carbamazepine uses during the psychiatric hospitalization, and heart rate on the discharge day positively contributed to the duration to next admission. CONCLUSION: We identified essential variables that may predict the duration of bipolar I patients’ next psychiatric admission. The correlation of a faster heartbeat and a normal lipid profile in delaying the next onset highlights the importance of managing these parameters when treating bipolar I disorder. Korean College of Neuropsychopharmacology 2023-05-30 2023-05-30 /pmc/articles/PMC10157006/ /pubmed/37119218 http://dx.doi.org/10.9758/cpn.2023.21.2.262 Text en Copyright© 2023, Korean College of Neuropsychopharmacology https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Chen, Pao-Huan
Shih, Chun-Ming
Chang, Chi-Kang
Lin, Chia-Pei
Chang, Yung-Han
Lee, Hsin-Chien
Loh, El-Wui
Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder
title Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder
title_full Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder
title_fullStr Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder
title_full_unstemmed Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder
title_short Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder
title_sort prediction of the duration to next admission for an acute affective episode in patients with bipolar i disorder
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157006/
https://www.ncbi.nlm.nih.gov/pubmed/37119218
http://dx.doi.org/10.9758/cpn.2023.21.2.262
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