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Identifying Recent Manic Symptoms by Newly Discharged Patients with Bipolar Disorder
Background: Bipolar disorder type I is a chronic and recurrent disease and is considered as the ninth nonfatal disease. Identifying the symptoms of the manic episode, which are more likely detected by patients, increases the ability of psychiatrists in diagnosing this disorder. Methods: In this cros...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iran University of Medical Sciences
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448487/ https://www.ncbi.nlm.nih.gov/pubmed/36128317 http://dx.doi.org/10.47176/mjiri.36.38 |
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author | Alaei, Solmaz Jalali Nadoushan, Amir Hossein Soraya, Shiva Maraghi, Elham Shabani, Amir |
author_facet | Alaei, Solmaz Jalali Nadoushan, Amir Hossein Soraya, Shiva Maraghi, Elham Shabani, Amir |
author_sort | Alaei, Solmaz |
collection | PubMed |
description | Background: Bipolar disorder type I is a chronic and recurrent disease and is considered as the ninth nonfatal disease. Identifying the symptoms of the manic episode, which are more likely detected by patients, increases the ability of psychiatrists in diagnosing this disorder. Methods: In this cross-sectional study, a total of 96 patients with bipolar disorder were enrolled from 2 academic psychiatric centers. Then, using the patients’ medical records, demographic data were collected. Further, both the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) interview and the Young mania rating scale (Y-MRS) scale were also performed. Then, about 27 to 33 days after discharge, the patients were contacted by phone and the SCID-I interview was conducted again. Meanwhile, to make the patients focus on the period from which they have recently improved, the phrase "the recent period of hospitalization" was added to the interview questions and the symptoms were checked. Results: At the beginning of the hospitalization, the most common symptom in the total population was irritable mood (89.5%): in the male population decreased need for sleep (98.2%), and in the female population irritable mood (97.5%). In addition, in the evaluation, about 1 month later, irritable mood (69.7%) and decreased need for sleep (67.7%) were the most common symptoms detected by the patients. In terms of the predictive value of each symptom to the diagnosis of that symptom by the psychiatrist, the highest positive predictive value was related to the symptoms of irritable mood (95.5%), decreased need for sleep (95.4%), and talkativeness (95.2%). However, the highest negative predictive value was related to the symptom of elevated mood (87.5%). Conclusion: The patients who have passed manic episodes are more able to detect some symptoms of this episode. Despite some limitations, it seems that using these statistical findings in practice may promote clinical assessment and diagnosis of bipolar disorder type I by psychiatrists. |
format | Online Article Text |
id | pubmed-9448487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Iran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-94484872022-09-19 Identifying Recent Manic Symptoms by Newly Discharged Patients with Bipolar Disorder Alaei, Solmaz Jalali Nadoushan, Amir Hossein Soraya, Shiva Maraghi, Elham Shabani, Amir Med J Islam Repub Iran Original Article Background: Bipolar disorder type I is a chronic and recurrent disease and is considered as the ninth nonfatal disease. Identifying the symptoms of the manic episode, which are more likely detected by patients, increases the ability of psychiatrists in diagnosing this disorder. Methods: In this cross-sectional study, a total of 96 patients with bipolar disorder were enrolled from 2 academic psychiatric centers. Then, using the patients’ medical records, demographic data were collected. Further, both the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) interview and the Young mania rating scale (Y-MRS) scale were also performed. Then, about 27 to 33 days after discharge, the patients were contacted by phone and the SCID-I interview was conducted again. Meanwhile, to make the patients focus on the period from which they have recently improved, the phrase "the recent period of hospitalization" was added to the interview questions and the symptoms were checked. Results: At the beginning of the hospitalization, the most common symptom in the total population was irritable mood (89.5%): in the male population decreased need for sleep (98.2%), and in the female population irritable mood (97.5%). In addition, in the evaluation, about 1 month later, irritable mood (69.7%) and decreased need for sleep (67.7%) were the most common symptoms detected by the patients. In terms of the predictive value of each symptom to the diagnosis of that symptom by the psychiatrist, the highest positive predictive value was related to the symptoms of irritable mood (95.5%), decreased need for sleep (95.4%), and talkativeness (95.2%). However, the highest negative predictive value was related to the symptom of elevated mood (87.5%). Conclusion: The patients who have passed manic episodes are more able to detect some symptoms of this episode. Despite some limitations, it seems that using these statistical findings in practice may promote clinical assessment and diagnosis of bipolar disorder type I by psychiatrists. Iran University of Medical Sciences 2022-04-19 /pmc/articles/PMC9448487/ /pubmed/36128317 http://dx.doi.org/10.47176/mjiri.36.38 Text en © 2022 Iran University of Medical Sciences https://creativecommons.org/licenses/by-nc-sa/1.0/This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial-ShareAlike 1.0 License (CC BY-NC-SA 1.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Original Article Alaei, Solmaz Jalali Nadoushan, Amir Hossein Soraya, Shiva Maraghi, Elham Shabani, Amir Identifying Recent Manic Symptoms by Newly Discharged Patients with Bipolar Disorder |
title | Identifying Recent Manic Symptoms by Newly Discharged Patients with Bipolar Disorder |
title_full | Identifying Recent Manic Symptoms by Newly Discharged Patients with Bipolar Disorder |
title_fullStr | Identifying Recent Manic Symptoms by Newly Discharged Patients with Bipolar Disorder |
title_full_unstemmed | Identifying Recent Manic Symptoms by Newly Discharged Patients with Bipolar Disorder |
title_short | Identifying Recent Manic Symptoms by Newly Discharged Patients with Bipolar Disorder |
title_sort | identifying recent manic symptoms by newly discharged patients with bipolar disorder |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448487/ https://www.ncbi.nlm.nih.gov/pubmed/36128317 http://dx.doi.org/10.47176/mjiri.36.38 |
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