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

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.

Bipolar disorder and the risk of fracture: A nationwide population-based cohort study

2017 ◽  
Vol 218 ◽  
pp. 246-252 ◽  
Author(s):  
Jian-An Su ◽  
Bi-Hua Cheng ◽  
Yin-Cheng Huang ◽  
Chuan-Pin Lee ◽  
Yao-Hsu Yang ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
Population Based ◽  
Risk Of Fracture

Risk of bipolar disorder in patients with endometriosis: A nationwide population-based cohort study

2020 ◽  
Vol 270 ◽  
pp. 36-41
Author(s):  
Shih-Fen Chen ◽  
Yu-Cih Yang ◽  
Chung-Y Hsu ◽  
Yu-Chih Shen
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
Population Based

scholarly journals Risk of postpartum episodes in women with bipolar disorder after lamotrigine or lithium use during pregnancy: A population-based cohort study

2017 ◽  
Vol 218 ◽  
pp. 394-397 ◽  
Author(s):  
Richard Wesseloo ◽  
Xiaoqin Liu ◽  
Crystal T. Clark ◽  
Steven A. Kushner ◽  
Trine Munk-Olsen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
Population Based

Increased risk of bipolar disorder in patients with scabies: A nationwide population-based matched-cohort study

2017 ◽  
Vol 257 ◽  
pp. 14-20 ◽  
Author(s):  
Chien-Yu Lin ◽  
Fung-Wei Chang ◽  
Jing-Jung Yang ◽  
Chun-Hung Chang ◽  
Chia-Lun Yeh ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
Population Based ◽  
Matched Cohort ◽  
Matched Cohort Study ◽  
Increased Risk

scholarly journals Relative Risk of Acute Myocardial Infarction in People with Schizophrenia and Bipolar Disorder: A Population-Based Cohort Study

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0134763 ◽  
Author(s):  
Shu-I Wu ◽  
Su-Chiu Chen ◽  
Shen-Ing Liu ◽  
Fang-Ju Sun ◽  
Jimmy J. M. Juang ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Bipolar Disorder ◽  
Cohort Study ◽  
Relative Risk ◽  
Population Based
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