Risk of Psychiatric Disorders following Ankylosing Spondylitis: A Nationwide Population-based Retrospective Cohort Study

2016 ◽  
Vol 43 (3) ◽  
pp. 625-631 ◽  
Author(s):  
Cheng-Che Shen ◽  
Li-Yu Hu ◽  
Albert C. Yang ◽  
Benjamin Ing-Tiau Kuo ◽  
Yung-Yen Chiang ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
Ankylosing Spondylitis ◽  
Depressive Disorder ◽  
Psychiatric Disorders ◽  
Retrospective Cohort ◽  
Depressive Disorders ◽  
Population Based ◽  
Newly Diagnosed ◽  
Comparison Cohort

Objective.Ankylosing spondylitis (AS) is a common inflammatory rheumatic disease. A higher prevalence of psychiatric comorbidities, including depressive disorder, has been proven in patients with AS. However, a clear temporal causal relationship between AS and psychiatric disorders has not been well established. We performed a nationwide population-based retrospective cohort study to analyze the relationship between AS and the subsequent development of psychiatric disorders, including schizophrenia, bipolar disorder, depressive disorders, anxiety disorders, and sleep disorders.Methods.We identified subjects who were newly diagnosed with AS between January 1, 2000, and December 31, 2008, in the Taiwan National Health Insurance (NHI) Research Database. A comparison cohort was constructed of patients without AS who were matched according to age and sex. All patients with AS and control patients were observed until diagnosed with psychiatric disorders, or until death or withdrawal from the NHI system, or until December 31, 2009.Results.The AS cohort consisted of 2331 patients and the comparison cohort consisted of 9324 matched control patients without AS. The adjusted HR for depressive disorders, anxiety disorders, and sleep disorders in subjects with AS were higher than those of the controls during followup (HR 1.718, 95% CI 1.303–2.265; HR 1.848, 95% CI 1.369–2.494; and HR 1.494, 95% CI 1.031–2.162, respectively).Conclusion.AS might increase the risk of a subsequent newly diagnosed depressive disorder, anxiety disorder, or sleep disorder, but not schizophrenia or bipolar disorder. These observations highlight the need for psychiatric evaluation and intervention for patients with AS.

scholarly journals Risk of Psychiatric Disorders Following Primary Sjögren Syndrome: A Nationwide Population-based Retrospective Cohort Study

2015 ◽  
Vol 42 (7) ◽  
pp. 1203-1208 ◽  
Author(s):  
Cheng-Che Shen ◽  
Albert C. Yang ◽  
Benjamin Ing-Tiau Kuo ◽  
Shih-Jen Tsai
Keyword(s):  
Cohort Study ◽  
Anxiety Disorder ◽  
Depressive Disorder ◽  
Sleep Disorder ◽  
Psychiatric Disorders ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Population Based ◽  
Newly Diagnosed ◽  
Primary Sjögren Syndrome

Objective.Primary Sjögren syndrome (pSS) is a chronic autoimmune disease. A clear temporal causal relationship between pSS and psychiatric disorders has not been well established. We used a nationwide population-based retrospective cohort study to explore the relationship between pSS and the subsequent development of psychiatric disorders.Methods.We identified subjects who were newly diagnosed with pSS between January 1, 2000, and December 31, 2008, in the Taiwan National Health Insurance (NHI) Research Database. A comparison cohort was constructed for patients without pSS. There were 2686 patients with pSS and 10,744 matched controls observed until diagnosed with psychiatric disorders or until death, withdrawal from the NHI system, or December 31, 2009. The Institutional Review Board of Taipei Veterans General Hospital approved this study (2012-12-013BC).Results.The adjusted HR of depressive disorder, anxiety disorder, and sleep disorder in subjects with pSS were significantly higher at 1.829, 1.856, and 1.967 than those of the controls during the followup. We found that pSS might increase the risk of subsequent newly diagnosed depressive disorder, anxiety disorder, and sleep disorder that may impair life quality.Conclusion.Our findings highlight the need for psychiatric evaluation and intervention for patients with pSS.

Use of antibiotics and risk of psychiatric disorders in newly diagnosed cancer patients: a population-based cohort study in Sweden

2022 ◽  
pp. cebp.1095.2021
Author(s):  
Kejia Hu ◽  
Karin E Smedby ◽  
Arvid Sjölander ◽  
Scott Montgomery ◽  
Unnur Valdimarsdóttir ◽  
...  
Keyword(s):  
Cohort Study ◽  
Psychiatric Disorders ◽  
Cancer Patients ◽  
Population Based ◽  
Newly Diagnosed

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 Incidence of osteoporosis and ambient air pollution in South Korea: a population-based retrospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jinyoung Shin ◽  
Hyuk Jung Kweon ◽  
Kyoung Ja Kwon ◽  
Seol-Heui Han
Keyword(s):  
Air Pollution ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Ambient Air ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Ambient Air Pollution ◽  
Newly Diagnosed ◽  
Residential Areas

Abstract Background This study investigated the associations between exposure to ambient air pollutants and the incidence of osteoporosis using the Korean National Insurance Service–National Sample Cohort. Methods This nationwide, population-based, retrospective cohort study included 237,149 adults aged ≥40 years that did not have a diagnosis of osteoporosis at baseline between January 1, 2003, and December 31, 2015. Osteoporosis was defined as claim codes and prescriptions of bisphosphonates or selective estrogen receptor modulators at least twice annually. After matching values for PM10, NO2, CO, and SO2 during the 2002–2015 time period and PM2.5 in 2015 with residential areas, the incidence of osteoporosis was analyzed using a Cox proportional hazards regression model according to the quartile of average yearly concentrations of pollutants. Results Overall 22.2% of the study subjects, 52,601 (male: 5.6%, female: 37.6%) adults in total, were newly diagnosed with osteoporosis and treated. Exposure to PM10 was positively associated with incidence of osteoporosis (Q4: 1798 per 100,000 person-years vs. Q1: 1655 per 100,000 person-years). The adjusted hazard ratio (HR) with 95% confidence interval (CI) of Q4 in PM10 was 1.034 (1.009–1.062). The effect of PM10 on osteoporosis incidence was distinct in females (adjusted sub-HR: 1.065, 95% CI: 1.003–1.129), subjects aged < 65 years (adjusted sub-HR: 1.040, 95% CI: 1.010–1.072), and for residents in areas with low urbanization (adjusted sub-HR: 1.052, 95% CI: 1.019–1.087). However, there was no increase in osteoporosis based on exposure to NO2, CO, SO2, or PM2.5. Conclusions Long-term exposure to PM10 was associated with newly diagnosed osteoporosis in Korean adults aged ≥40 years. This finding can aid in policy-making that is directed to control air pollution as a risk factor for bone health.

scholarly journals Risk of hip fractures in patients with depressive disorders: A nationwide, population-based, retrospective, cohort study

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0194961 ◽  
Author(s):  
Chih-Chuan Pan ◽  
Li-Yu Hu ◽  
Ti Lu ◽  
Ming-Shium Tu ◽  
Cheng-Che Shen ◽  
...  
Keyword(s):  
Cohort Study ◽  
Hip Fractures ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Depressive Disorders ◽  
Population Based
Sign in / Sign up

Export Citation Format

Share Document