Risk of Retinal Disease in Patients with Bipolar Disorder: A Nationwide Cohort Study

2022 ◽  
Author(s):  
Tien‐Wei Hsu ◽  
Ya‐Mei Bai ◽  
Shih‐Jen Tsai ◽  
Tzeng‐Ji Chen ◽  
Chih‐Sung Liang ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
Retinal Disease

Physical comorbidity in Older-Age Bipolar Disorder (OABD) compared to the general population - a 3-year longitudinal prospective cohort study

2021 ◽  
Author(s):  
Alexandra J.M. Beunders ◽  
Almar A.L. Kok ◽  
Panagiotis C. Kosmas ◽  
Aartjan T.F. Beekman ◽  
Caroline M. Sonnenberg ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
General Population ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Older Age

scholarly journals Ethnicity and impact on the receipt of cognitive–behavioural therapy in people with psychosis or bipolar disorder: an English cohort study

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e034913
Author(s):  
Rohan Michael Morris ◽  
William Sellwood ◽  
Dawn Edge ◽  
Craig Colling ◽  
Robert Stewart ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
Cognitive Behavioural Therapy ◽  
Secondary Care ◽  
Behavioural Therapy ◽  
Single Session ◽  
Black African ◽  
Cognitive Behavioural ◽  
Black Caribbean ◽  
To Receive

Objectives(1) To explore the role of ethnicity in receiving cognitive–behavioural therapy (CBT) for people with psychosis or bipolar disorder while adjusting for differences in risk profiles and symptom severity. (2) To assess whether context of treatment (inpatient vs community) impacts on the relationship between ethnicity and access to CBT.DesignCohort study of case register data from one catchment area (January 2007–July 2017).SettingA large secondary care provider serving an ethnically diverse population in London.ParticipantsData extracted for 30 497 records of people who had diagnoses of bipolar disorder (International Classification of Diseases (ICD) code F30-1) or psychosis (F20–F29 excluding F21). Exclusion criteria were: <15 years old, missing data and not self-defining as belonging to one of the larger ethnic groups. The sample (n=20 010) comprised the following ethnic groups: white British: n=10 393; Black Caribbean: n=5481; Black African: n=2817; Irish: n=570; and ‘South Asian’ people (consisting of Indian, Pakistani and Bangladeshi people): n=749.Outcome assessmentsORs for receipt of CBT (single session or full course) as determined via multivariable logistic regression analyses.ResultsIn models adjusted for risk and severity variables, in comparison with White British people; Black African people were less likely to receive a single session of CBT (OR 0.73, 95% CI 0.66 to 0.82, p<0.001); Black Caribbean people were less likely to receive a minimum of 16-sessions of CBT (OR 0.83, 95% CI 0.71 to 0.98, p=0.03); Black African and Black Caribbean people were significantly less likely to receive CBT while inpatients (respectively, OR 0.76, 95% CI 0.65 to 0.89, p=0.001; OR 0.83, 95% CI 0.73 to 0.94, p=0.003).ConclusionsThis study highlights disparity in receipt of CBT from a large provider of secondary care in London for Black African and Caribbean people and that the context of therapy (inpatient vs community settings) has a relationship with disparity in access to treatment.

Early exposure to parental bipolar disorder and risk of mood disorder: the F lourish  Canadian prospective offspring cohort study

2015 ◽  
Vol 12 (2) ◽  
pp. 160-168 ◽  
Author(s):  
Sarah Goodday ◽  
Adrian Levy ◽  
Gordon Flowerdew ◽  
Julie Horrocks ◽  
Paul Grof ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
Mood Disorder ◽  
Early Exposure ◽  
Offspring Cohort

scholarly journals Risk of obstructive sleep apnea in patients with bipolar disorder: A nationwide population‐based cohort study in Taiwan

2018 ◽  
Vol 73 (4) ◽  
pp. 163-168
Author(s):  
En‐Ting Chang ◽  
Shih‐Fen Chen ◽  
Jen‐Huai Chiang ◽  
Ling‐Yi Wang ◽  
Chung‐Y Hsu ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Obstructive Sleep Apnea ◽  
Cohort Study ◽  
Sleep Apnea ◽  
Population Based ◽  
Obstructive Sleep

scholarly journals Critical Predictors for the Early Detection of Conversion From Unipolar Major Depressive Disorder to Bipolar Disorder: Nationwide Population-Based Retrospective Cohort Study (Preprint)

2019 ◽  
Author(s):  
Ya-Han Hu ◽  
Kuanchin Chen ◽  
I-Chiu Chang ◽  
Cheng-Che Shen
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Cohort Study ◽  
High Risk ◽  
Retrospective Cohort ◽  
Risk Group ◽  
Population Based ◽  
Major Depressive ◽  
Risk Stratification Model

BACKGROUND Unipolar major depressive disorder (MDD) and bipolar disorder are two major mood disorders. The two disorders have different treatment strategies and prognoses. However, bipolar disorder may begin with depression and could be diagnosed as MDD in the initial stage, which may later contribute to treatment failure. Previous studies indicated that a high proportion of patients diagnosed with MDD will develop bipolar disorder over time. This kind of hidden bipolar disorder may contribute to the treatment resistance observed in patients with MDD. OBJECTIVE In this population-based study, our aim was to investigate the rate and risk factors of a diagnostic change from unipolar MDD to bipolar disorder during a 10-year follow-up. Furthermore, a risk stratification model was developed for MDD-to-bipolar disorder conversion. METHODS We conducted a retrospective cohort study involving patients who were newly diagnosed with MDD between January 1, 2000, and December 31, 2004, by using the Taiwan National Health Insurance Research Database. All patients with depression were observed until (1) diagnosis of bipolar disorder by a psychiatrist, (2) death, or (3) December 31, 2013. All patients with depression were divided into the following two groups, according to whether bipolar disorder was diagnosed during the follow-up period: converted group and nonconverted group. Six groups of variables within the first 6 months of enrollment, including personal characteristics, physical comorbidities, psychiatric comorbidities, health care usage behaviors, disorder severity, and psychotropic use, were extracted and were included in a classification and regression tree (CART) analysis to generate a risk stratification model for MDD-to-bipolar disorder conversion. RESULTS Our study enrolled 2820 patients with MDD. During the follow-up period, 536 patients were diagnosed with bipolar disorder (conversion rate=19.0%). The CART method identified five variables (kinds of antipsychotics used within the first 6 months of enrollment, kinds of antidepressants used within the first 6 months of enrollment, total psychiatric outpatient visits, kinds of benzodiazepines used within one visit, and use of mood stabilizers) as significant predictors of the risk of bipolar disorder conversion. This risk CART was able to stratify patients into high-, medium-, and low-risk groups with regard to bipolar disorder conversion. In the high-risk group, 61.5%-100% of patients with depression eventually developed bipolar disorder. On the other hand, in the low-risk group, only 6.4%-14.3% of patients with depression developed bipolar disorder. CONCLUSIONS The CART method identified five variables as significant predictors of bipolar disorder conversion. In a simple two- to four-step process, these variables permit the identification of patients with low, intermediate, or high risk of bipolar disorder conversion. The developed model can be applied to routine clinical practice for the early diagnosis of bipolar disorder.

scholarly journals Valproate v. lithium in the treatment of bipolar disorder in clinical practice: observational nationwide register-based cohort study

2011 ◽  
Vol 199 (1) ◽  
pp. 57-63 ◽  
Author(s):  
Lars Vedel Kessing ◽  
Gunnar Hellmund ◽  
John R. Geddes ◽  
Guy M. Goodwin ◽  
Per Kragh Andersen
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
Clinical Practice ◽  
Hospital Admission ◽  
Psychiatric Hospital ◽  
Hospital Admissions ◽  
Observational Cohort Study ◽  
Hazard Ratio ◽  
Daily Clinical Practice ◽  
Observational Cohort

BackgroundValproate is one of the most used mood stabilisers for bipolar disorder, although the evidence for the effectiveness of valproate is sparse.AimsTo compare the effect of valproate v. lithium for treatment of bipolar disorder in clinical practice.MethodAn observational cohort study with linkage of nationwide registers of all people with a diagnosis of bipolar disorder in psychiatric hospital settings who were prescribed valproate or lithium in Denmark during a period from 1995 to 2006.ResultsA total of 4268 participants were included among whom 719 received valproate and 3549 received lithium subsequent to the diagnosis of bipolar disorder. The rate of switch/add on to the opposite drug (lithium or valproate), antidepressants, antipsychotics or anticonvulsants (other than valproate) was increased for valproate compared with lithium (hazard ratio (HR) = 1.86, 95% CI 1.59–2.16). The rate of psychiatric hospital admissions was increased for valproate v. lithium (HR = 1.33, 95% CI 1.18–1.48) and regardless of the type of episode leading to a hospital admission (depressive or manic/mixed). Similarly, for participants with a depressive index episode (HR = 1.87, 95% CI 1.40–2.48), a manic index episode (HR = 1.24, 95% CI 1.01–1.51) and a mixed index episode (HR = 1.44, 95% CI 1.04–2.01), the overall rate of hospital admissions was significantly increased for valproate compared with lithium.ConclusionsIn daily clinical practice, treatment with lithium seems in general to be superior to treatment with valproate.

Maternal and child delivery charges, postpartum charges, and utilization of care among women with bipolar disorder: a cohort study

2019 ◽  
Vol 23 (4) ◽  
pp. 565-572 ◽  
Author(s):  
M. Camille Hoffman ◽  
Deborah J. Rinehart ◽  
Laura K. Jochens ◽  
Carolyn Valdez ◽  
Joshua Durfee ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study

Association of hysterectomy with bipolar disorder risk: A population‐based cohort study

2019 ◽  
Vol 36 (6) ◽  
pp. 543-551 ◽  
Author(s):  
Yu‐Chih Shen ◽  
Weishan Chen ◽  
I‐Ju Tsai ◽  
Jen‐Hung Wang ◽  
Shinn‐Zong Lin ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
Population Based ◽  
Disorder Risk
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