Parental mental disorders in patients with comorbid schizophrenia and obsessive-compulsive disorder: a nationwide family-link study.

Schizophrenia is highly comorbid with obsessive-compulsive disorder (OCD); both conditions share numerous pathophysiological etiologies. We, thus, examined the risk of mental disorders in the parents of probands with schizophrenia, OCD, or both conditions. Between 2001 and 2011, we enrolled a nationwide cohort of 69,813 patients with schizophrenia, OCD, or both. The control cohort included 698,130 individuals matched for demographics. Poisson regression models were employed to examine the risk of six mental disorders in their parents, including schizophrenia, bipolar disorder, depressive disorder, OCD, alcohol use disorder, and substance use disorder. We stratified patients into schizophrenia-only, OCD-only, and dual-diagnosis groups, and the dual-diagnosis group was further divided into schizophrenia-first, OCD-first, and simultaneously diagnosed groups. Compared with controls, the schizophrenia, OCD, and dual-diagnosis groups had higher risks for the six mental disorders in their parents (range of odds ratio [OR] 1.50-7.83). The sub-analysis of the dual-diagnosis group showed that the schizophrenia-first, OCD-first, and simultaneously diagnosed groups had higher odds for schizophrenia, bipolar disorder, depressive disorder, and OCD (range of OR 1.64-6.45) in their parents than the control group; the simultaneously diagnosed and OCD-first diagnosed groups had a higher odds of parental substance use disorder, while the schizophrenia-first diagnosed group had a higher odds of parental alcohol use disorder. The interrelationship between OCD and schizophrenia is linked to bipolar disorder, depressive disorder, alcohol use disorder, and substance use disorder. The results have implications for mental health policy and future research.

Susceptibility to Treatment-Resistant Depression Within Families.

Importance: Antidepressant responses and the phenotype of treatment-resistant depression (TRD) are believed to have a genetic basis. Genetic susceptibility between the TRD phenotype and other psychiatric disorders has also been established in previous genetic studies, but population-based cohort studies have not yet provided evidence to support these outcomes. Objective: To estimate the TRD susceptibility and the susceptibility between TRD and other psychiatric disorders within families in a nationwide insurance cohort with extremely high coverage and comprehensive health care data. Design, Setting, and Participants: This cohort study assessed data from the Taiwan national health insurance database across entire population (N = 26 554 001) between January 2003 and December 2017. Data analysis was performed from August 2021 to April 2023. TRD was defined as having experienced at least 3 distinct antidepressant treatments in the current episode, each with adequate dose and duration, based on the prescribing records. Then, we identified the first-degree relatives of individuals with TRD (n = 34 467). A 1:4 comparison group (n = 137 868) of first-degree relatives of individuals without TRD was arranged for the comparison group, matched by birth year, sex, and kinship. Main Outcomes and Measures: Modified Poisson regression analyses were performed and adjusted relative risks (aRRs) and 95% CIs were calculated for the risk of TRD, the risk of other major psychiatric disorders, and different causes of mortality. Results: This study included 172 335 participants (88 330 male and 84 005 female; mean [SD] age at beginning of follow-up, 22.9 [18.1] years). First-degree relatives of individuals with TRD had lower incomes, more physical comorbidities, higher suicide mortality, and increased risk of developing TRD (aRR, 9.16; 95% CI, 7.21-11.63) and higher risk of other psychiatric disorders than matched control individuals, including schizophrenia (aRR, 2.36; 95% CI, 2.10-2.65), bipolar disorder (aRR, 3.74; 95% CI, 3.39-4.13), major depressive disorder (aRR, 3.65; 95% CI, 3.44-3.87), attention-deficit/hyperactivity disorders (aRR, 2.38; 95% CI, 2.20-2.58), autism spectrum disorder (aRR, 2.26; 95% CI, 1.86-2.74), anxiety disorder (aRR, 2.71; 95% CI, 2.59-2.84), and obsessive-compulsive disorder (aRR, 3.14; 95% CI, 2.70-3.66). Sensitivity and subgroup analyses validated the robustness of the findings. Conclusions and Relevance: To our knowledge, this study is the largest and perhaps first nationwide cohort study to demonstrate TRD phenotype transmission across families and coaggregation with other major psychiatric disorders. Patients with a family history of TRD had an increased risk of suicide mortality and tendency toward antidepressant resistance; therefore, more intensive treatments for depressive symptoms might be considered earlier, rather than antidepressant monotherapy.

Diagnostic conversion to bipolar disorder among adolescents and young adults with major depressive disorder: a nationwide longitudinal study.

Although several studies have examined a diagnostic conversion from major depressive disorder (MDD) to bipolar disorder (BD), only a few studies specifically focused on adolescents and young adults who are at the peak ages of BD onset. Data from participants (N = 130,793) aged 10-29 years who were diagnosed with MDD were extracted from the Taiwan National Health Insurance Research Database. We applied demographic analyses, survival analysis, Aalen Johansen curves, and Cox regression, investigating the diagnostic conversion rate and factors that were most or less predictive of conversion. Among the adolescents and young adults with MDD, the number of participant conversion subsample is 14,187 and the conversion rate was 13.80% (95% confidence interval: 13.54-14.06%) during the 11-year follow-up. The conversion rate was highest in the first year (4.50%; 4.39-4.61%) and decreased over time. The significant predictors were younger age of diagnosis with MDD (p < 0.001), moderate and high antidepressant resistance (p < 0.001), obesity (p < 0.001), psychiatric comorbidities (attention-deficit/hyperactivity disorder, substance use disorder, and cluster B and C personality disorder, all p < 0.001), a family history of mental disorders (schizophrenia and mood disorders, all p < 0.05), lower monthly income (p < 0.001), and more mental health visits to the clinic each year (p < 0.001). A composite of demographic characteristics, antidepressant resistance, physical and psychiatric comorbidities, and family history significantly predicted diagnostic conversion from MDD to BD (area under the curve = 0.795, p < 0.001). Compared to adult population, the adolescents and young adults had different factors that were most or less predictive of conversion, which warrants further investigation.

Cause-specific mortality and comorbid neurodevelopmental disorder in 167,515 patients with bipolar disorder: An entire population longitudinal study.

OBJECTIVE: Studies addressing premature mortality in bipolar disorder (BD) patients are limited by small sample sizes. Herein, we used almost 99 % of the population of Taiwan to address this issue, and its association with comorbid neurodevelopmental disorders and severe BD. METHODS: Between 2003 and 2017, we enrolled 167,515 individuals with BD and controls matched 1:4 for sex and birth year from the National Health Insurance Database linked to the Database of National Death Registry in Taiwan. Time-dependent Cox regression models were used to examine cause-specific mortality (all-cause, natural, and unnatural causes [accidents or suicide]). RESULTS: With adjustments of sex, age, income, urbanization, and physical conditions, suicide was associated with the highest risk of mortality (reported as hazard ratio with 95 % confidence interval: 9.15; 8.53-9.81) among BD patients, followed by unnatural (4.94; 4.72-5.17), accidental (2.15; 1.99-2.32), and natural causes (1.02; 1.00-1.05). Comorbid attention-deficiency hyperactivity disorder did not contribute to the increased risk of cause-specific mortality; however, comorbid autism spectrum disorder (ASD) increased such risks, particularly for natural (3.00; 1.85-4.88) and accidental causes (7.47; 1.80-31.1). Cause-specific mortality revealed a linear trend with the frequency of psychiatric hospitalization (all, p for trend <0.001), and BD patients hospitalized twice or more each year had 34.63-fold increased risk of suicide mortality (26.03-46.07). CONCLUSIONS: BD patients with a higher frequency of psychiatric hospitalization have the highest risk of suicide mortality, and comorbid ASD was associated with an increased risk of natural and accidental causes of mortality.

Psychiatric rehabilitation and cognitive deficit for treatment-resistant depression.

Patients with TRD often experience persistent impairment of affective, psychosocial, and cognitive function, which impedes their recovery. The continuation of pharmacotherapy for patients with TRD remains the cornerstone of functional recovery. Cognitive dysfunction is prevalent in patients with MDD and may make patients' depressive symptoms and psychosocial functioning worse, even in the remitted stage of illness. Deficits can manifest not only in specific cognitive domains but also in global cognitive function, which may reflect underlying persistent pathophysiological changes. Compared with nontreatment-resistant patients with MDD, patients with TRD exhibit greater subjective and objective cognitive impairment, which possibly contributes to a greater adverse impact on daily functioning. Cognitive and psychosocial remission should be a goal in treating MDD. How to appropriately and individualized perform pharmacological intervention, psychotherapy, neuromodulation, cognitive remediation or other rehabilitation treatment programs is a critical step to achieve our goal. Integrating multiple interventions that engage multiple physiological systems with a multidisciplinary team warrants increased attention, and personalized therapeutic programs may facilitate the complete restoration of patients' everyday functioning.

Risk of All-Cause and Suicide Death in Patients With Schizophrenia: An Entire-Population Longitudinal Study in Taiwan.

Background: Schizophrenia increases mortality from all causes and specific causes. Comprehensive research on modifiable risk factors for early mortality from multiple sources is needed.Methods: Taiwan's National Health Insurance Research Database, which contains claims data from a lifetime insurance program for the whole population, provided extensive medical inpatient and outpatient data categorized by ICD-9-CM and ICD-10 for this nationwide retrospective longitudinal cohort study. The National Mortality Registry provided data on all-cause, natural, suicide, and accidental deaths. 191,553 patients with schizophrenia and 26,362,448 individuals without schizophrenia were monitored from January 1, 2003, to December 31, 2017. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for mortality risk were calculated using Cox regression models. We compared different mortality risks associated with schizophrenia across age, sex, and Charlson Comorbidity Index (CCI) subgroups.Results: We found that schizophrenia results in a relatively higher increase in suicidal mortality in those aged ≤ 20 years (aHR = 15.55; 95% CI, 13.95-17.34), and that effect decreased with age. The effect of schizophrenia in female individuals (suicide death: female, aHR = 11.82, 95% CI, 11.21-12.46; male, aHR = 8.11, 95% CI, 7.77-8.47; difference, P < .001) and individuals without comorbidity (natural cause of death, CCI = 0 aHR = 5.94, 95% CI, 5.68-6.22; CCI = 1-2 aHR = 3.62, 95% CI, 3.52-3.73; CCI > 2 aHR = 1.61, 95% CI, 1.58-1.64) led to comparatively higher mortality risks. The effect of schizophrenia in individuals with AIDS (suicide death, aHR = 2.73, 95% CI, 1.70-4.39) resulted in a relatively smaller increase in suicide mortality compared to individuals with other comorbidities; however, in patients with connective tissue diseases, a diagnosis of schizophrenia still leads to an alarming increase in natural and unnatural mortality.Conclusions: Schizophrenia in combination with younger age, female sex, comorbid connective tissue disease, or major organ problems necessitates more tailored countermeasures to lessen the higher mortality risk in these patients compared with patients who have these characteristics and conditions but do not have schizophrenia.

Prediction of antidepressant responses to non-invasive brain stimulation using frontal electroencephalogram signals: Cross-dataset comparisons and validation.

BACKGROUND: 10-Hz repetitive transcranial magnetic stimulation(rTMS) and intermittent theta-burst stimulation(iTBS) over left prefrontal cortex are FDA-approved, effective options for treatment-resistant depression (TRD). Optimal prediction models for iTBS and rTMS remain elusive. Therefore, our primary objective was to compare prediction accuracy between classification by frontal theta activity alone and machine learning(ML) models by linear and non-linear frontal signals. The second objective was to study an optimal ML model for predicting responses to rTMS and iTBS. METHODS: Two rTMS and iTBS datasets (n = 163) were used: one randomized controlled trial dataset (RCTD; n = 96) and one outpatient dataset (OPD; n = 67). Frontal theta and non-linear EEG features that reflect trend, stability, and complexity were extracted. Pretreatment frontal EEG and ML algorithms, including classical support vector machine(SVM), random forest(RF), XGBoost, and CatBoost, were analyzed. Responses were defined as ≥50 % depression improvement after treatment. Response rates between those with and without pretreatment prediction in another independent outpatient cohort (n = 208) were compared. RESULTS: Prediction accuracy using combined EEG features by SVM was better than frontal theta by logistic regression. The accuracy for OPD patients significantly dropped using the RCTD-trained SVM model. Modern ML models, especially RF (rTMS = 83.3 %, iTBS = 88.9 %, p-value(ACC > NIR) < 0.05 for iTBS), performed significantly above chance and had higher accuracy than SVM using both selected features (p < 0.05, FDR corrected for multiple comparisons) or all EEG features. Response rates among those receiving prediction before treatment were significantly higher than those without prediction (p = 0.035). CONCLUSION: The first study combining linear and non-linear EEG features could accurately predict responses to left PFC iTBS. The bootstraps-based ML model (i.e., RF) had the best predictive accuracy for rTMS and iTBS.

The longer, the better ? Longer left-sided prolonged intermittent theta burst stimulation in patients with major depressive disorder: A randomized sham-controlled study.

BACKGROUND: Prolonged intermittent theta-burst stimulation (iTBS) is effective for major depressive disorder (MDD). However, whether longer piTBS treatment in a single session could have antidepressant efficacy remains elusive. Therefore, this double-blind, randomized, sham-controlled study aimed to investigate the antidepressant efficacy of 2 daily piTBS sessions for treating MDD patients with a history of poor responses to at least 1 adequate antidepressant trial in the current episode. METHODS: All patients received 2 uninterrupted sessions per day for 10 weekdays (i.e., 2 weeks; a total of 20 sessions). Seventy-two patients were recruited and 1:1:1 randomly assigned to one of three groups: piTBS (piTBSx2), 10-Hz rTMS (rTMSx2), or sham treatment (shamx2, randomly assigned to piTBS or rTMS). 10-Hz rTMS group was included as an active comparison group to enhance assay sensitivity. RESULTS: piTBSx2 group had significantly more responders at week 2 than shamx2 group, but it did not yield better antidepressant effects regarding the %depression changes. The changes of antidepressant scores were not different among the three groups at week 1 (-26.2% vs. -23.3% vs. -22.%) or at week 2 (-34.1% vs. -37.1% vs. -30.1%). Longer treatment duration did not result in stronger placebo effects [sham(piTBS)x2: - 31.7% vs. sham(rTMS)x2: - 26.7%]. CONCLUSION: The present sham-controlled study confirmed that piTBS is an effective antidepressant option, but found no evidence to support that longer piTBS treatment duration resulted in more rapid or better antidepressant effects. A high placebo effect was observed, but longer treatment duration of brain stimulation was not linearly associated with stronger placebo effects.

Risks and familial coaggregation of death by suicide, accidental death and major psychiatric disorders in first-degree relatives of individuals who died by suicide.

BACKGROUND: Evidence suggests a familial coaggregation of major psychiatric disorders, including schizophrenia, bipolar disorder, major depression (MDD), autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD). Those disorders are further related to suicide and accidental death. However, whether death by suicide may coaggregate with accidental death and major psychiatric disorders within families remains unclear. AIMS: To clarify the familial coaggregation of deaths by suicide with accidental death and five major psychiatric disorders. METHOD: Using a database linked to the entire Taiwanese population, 68 214 first-degree relatives of individuals who died by suicide between 2003 and 2017 and 272 856 age- and gender-matched controls were assessed for the risks of death by suicide, accidental death and major psychiatric disorders. RESULTS: A Poisson regression model showed that the first-degree relatives of individuals who died by suicide were more likely to die by suicide (relative risk RR = 4.61, 95% CI 4.02-5.29) or accident (RR = 1.62, 95% CI 1.43-1.84) or to be diagnosed with schizophrenia (RR = 1.53, 95% CI 1.40-1.66), bipolar disorder (RR = 1.99, 95% CI 1.83-2.16), MDD (RR = 1.98, 95% CI 1.89-2.08) or ADHD (RR = 1.34, 95% CI 1.24-1.44). CONCLUSIONS: Our findings identified a familial coaggregation of death by suicide with accidental death, schizophrenia, major affective disorders and ADHD. Further studies would be required to elucidate the pathological mechanisms underlying this coaggregation.

All-cause mortality and suicide mortality in autistic individuals: An entire population longitudinal study in Taiwan.

LAY ABSTRACT: Our study was the first population-based study in an Asian country to investigate the mortality rates among autistic individuals. Among the entire Taiwanese population (N = 29,253,529), between 2003 and 2017, 45,398 autistic individuals were identified and 1:4 age-/sex-matched to 181,592 non-autistic individuals. We found that autistic individuals had increased risks of all-cause mortality, natural-cause mortality, and suicide mortality compared with non-autistic individuals. Furthermore, autistic males were more likely to die by suicide, and autistic females were more likely to die of accident compared with the non-autistic individuals.

Taiwan consensus on biological treatment of bipolar disorder during the acute, maintenance, and mixed phases: The 2022 update.

BACKGROUND: Bipolar disorder is a mood dysregulation characterized by recurrent symptoms and episodes of mania, hypomania, depression, and mixed mood. The complexity of treating patients with bipolar disorder prompted the Taiwanese Society of Biological Psychiatry and Neuropsychopharmacology (TSBPN) to publish the first Taiwan consensus on pharmacological treatment of bipolar disorders in 2012. This paper presents the updated consensus, with changes in diagnostic criteria (i.e., mixed features) and emerging pharmacological evidence published up to April 2022. METHODS: Our working group systemically reviewed the clinical research evidence and international guidelines and determined the levels of evidence for each pharmacological treatment on the basis of the most recent World Federation of Societies of Biological Psychiatry grading system. Four clinical-specific issues were proposed. The current TSBPN Bipolar Taskforce then discussed research evidence and clinical experience related to each treatment option in terms of efficacy and acceptability and then appraised final recommendation grades through anonymous voting. RESULTS: In the updated consensus, we include the pharmacological recommendations for bipolar disorder with mixed features considering its high prevalence, the severe clinical prognosis, and the absence of approved medications. Cariprazine, lurasidone, repetitive transcranial magnetic stimulation, and ketamine are incorporated as treatment options. In the maintenance phase, the application of long-acting injectable antipsychotics is emphasized, and the hazards of using antidepressants and conventional antipsychotics are proposed. CONCLUSIONS: This updated Taiwan consensus on pharmacological treatment for bipolar disorder provides concise evidence-based and empirical recommendations for clinical psychiatric practice. It may facilitate treatment outcome improvement in patients with bipolar disorder.

Family coaggregation of type 1 diabetes mellitus, major depressive disorder, attention-deficiency hyperactivity disorder and autism spectrum disorder in affected families: a nationwide study.

AIMS: This study aimed to examine the risk of T1D, major depressive disorder (MDD), attention-deficiency hyperactivity disorder (ADHD), and autism spectrum disorder (ASD), in first-degree relatives (FDRs) of patients with T1D. METHODS: We enrolled 24,555 FDRs of individuals with T1D and 1:4 matched controls (N = 98,220) based on age and sex using data from the Taiwan National Health Insurance Research Database between 2001 and 2011. Poisson regression analyses were performed to estimate the risks of MDD, attention-deficiency hyperactivity disorder (ADHD), and autism spectrum disorder among the FDRs. Finally, we assessed the impact of DKA in the familial coaggregation. RESULTS: After adjusting for demographic characteristics, FDRs of individuals with T1D had higher risk of T1D (reported as relative risk with 95% confidence interval: 46.07, 33.36-63.63) and MDD (1.17, 1.04-1.32) than controls. Stratified by sex, female FDRs had increased risk of MDD (1.30, 1.13-1.51), while male FDRs had increased risk of ADHD (1.21, 1.01-1.44). Stratified by kinship, parents of individuals with T1D had increased risk of MDD (1.24, 1.06-1.44); offspring of individuals with T1D had increased risk of ADHD (1.41, 1.11-1.79). Importantly, FDRs of individuals with T1D and DKA had higher risk of MDD (1.35, 1.11-1.64) and ADHD (1.40, 1.07-1.82) than controls; however, such risks were not observed in FDRs of individuals with T1D but without DKA. CONCLUSIONS: The individual risks of T1D, MDD, and ADHD were increased in families that included patients with T1D, and DKA might play a role in such coaggregation with MDD and ADHD. Future studies are warranted to investigate the underlying mechanisms.

Diagnostic progression to schizophrenia in 35,255 patients with obsessive-compulsive disorder: a longitudinal follow-up study.

Evidence suggests a continuity between obsessive-compulsive disorder (OCD) and schizophrenia. However, the factors that may predict diagnostic progression from OCD to schizophrenia remain unclear. A total of 35,255 adolescents and adults with OCD (ICD-9-CM code: 300.3) were enrolled between 2001 and 2010 and followed up at the end of 2011 for the identification of de novo schizophrenia (ICD-9-CM code: 295). The Kaplan-Meier method was used to estimate incidence rates, and the Cox regression was used to determine the significance of candidate predictors. At the end of the 11-year follow-up period, the crude cumulative progression rate from OCD to schizophrenia was 6%, and the estimated progression rate totaled 7.80%. Male sex (hazard ratio: 1.23), obesity (1.77), autism spectrum disorder (1.69), bipolar disorder (1.69), posttraumatic stress disorder (1.65), cluster A personality disorder (2.50), and a family history of schizophrenia (2.57) also were related to an elevated likelihood of subsequent progression to schizophrenia in patients with OCD. Further study is necessary to elucidate the exact pathomechanisms underlying diagnostic progression to schizophrenia in patients with OCD.

Antidepressant effects of prolonged intermittent theta-burst stimulation monotherapy at the bilateral dorsomedial prefrontal cortex for medication and standard transcranial magnetic stimulation-resistant major depression: a three arm, randomized, double blind, sham-controlled pilot study.

The dorsomedial prefrontal cortex (DMPFC) plays a pivotal role in depression and anxiosomatic symptom modulation. However, DMPFC stimulation using a double-cone coil has demonstrated inconsistent results for antidepressant efficacy. No study thus far has investigated the antidepressant and anti-anxiosomatic effects of prolonged intermittent theta-burst stimulation (piTBS) bilaterally over DMPFC. Furthermore, head-to-head comparisons of antidepressant effects between standard iTBS and piTBS warrant investigation. This double-blind, randomized, sham-controlled trial recruited 34 patients with highly treatment-resistant depression (TRD) unresponsive to antidepressants and standard repetitive transcranial magnetic stimulation (rTMS)/piTBS. These patients were randomly assigned to one of three monotherapy groups (standard iTBS, piTBS, or sham), with treatment administered bilaterally over the DMPFC twice per day for 3 weeks. The primary outcome was the overall changes of 17-item Hamilton Depression Rating Scale (HDRS-17) over 3-weeks intervention. The changes in Depression and Somatic Symptoms Scale (DSSS) as the secondary outcome and the anxiosomatic cluster symptoms as rated by HDRS-17 as the post-hoc outcome were measured. Multivariable generalized estimating equation analysis was performed. Although no differences in overall HDRS-17 changes between three groups were found, the antidepressant efficacy based on DSSS was higher in piTBS than in iTBS and sham at week 3 (group effect,p = 0.003, post-hoc: piTBS > iTBS, p = 0.002; piTBS > sham, p = 0.038). In post-hoc analyses, piTBS had more alleviation in anxiosomatic symptoms than iTBS (group effect, p = 0.002; post-hoc, p = 0.001). This first randomized sham-controlled study directly compared piTBS and iTBS targeting the DMPFC using a figure-of-8 coil and found piTBS may fail to demonstrate a significant antidepressant effect on overall depressive symptoms, but piTBS seems superior in alleviating anxiosomatic symptoms, even in depressed patients with high treatment resistance. This Trial registration (Registration number: NCT04037592). URL: https://clinicaltrials.gov/ct2/show/NCT04037592 .

Association between parental bipolar disorder and increased risk of exposure to prescription opioids for their offspring.

PURPOSE: Individuals with bipolar disorder (BD) may have an increased risk of exposure to prescription opioids. However, it is still unknown whether such risk also occurs in their offspring. This study aimed to investigate the risk of exposure to prescription opioid use and related medical conditions in the offspring of parents with BD. METHODS: This study used the Taiwan National Health Research Database and included offspring who had any parent with a diagnosis of BD. The matched-control cohort was randomly identified from the offspring of parents without any major psychiatric disorders (MPD). We identified data pertaining to opioid prescription and related medical conditions, namely pain disorder, malignancy, autoimmune disease, and arthropathy. The Poisson regression was used to estimate odds ratios and 95% confidence intervals. RESULTS: In total, 11,935 offspring of parents with BD and 119,350 offspring of parents without any MPD were included. After controlling for demographics and mental disorders, offspring of parents with BD demonstrated higher rates of prescription opioid use than those of parents without MPD, especially the intravenous/intramuscular form of opioids and prescription in hospital settings. In addition, offspring of parents with BD had a higher odds of pain disorders than those of parents without MPD. CONCLUSION: Our study identifies a higher odd for developing pain disorders and exposure to prescription opioids among children of parents with BD.

Factors associated with antidepressant responses to repetitive transcranial magnetic stimulation in antidepressant-resistant depression.

Background: A significant proportion of patients with major depressive disorder (MDD) failed to respond to antidepressant medications. Repetitive transcranial magnetic stimulation (rTMS) is an effective option for treating such treatment-resistant patients with MDD (TRD). Reliable clinical predictors for antidepressant responses to rTMS remain elusive. Methods: In total, 212 patients with MDD who failed to respond to at least one adequate antidepressant trial and had a detailed evaluation before rTMS were recruited for chart review. Demographic data, clinical characteristics, psychiatric comorbidities, symptom ratings [e.g., objective and subjective depression, life stress, depression refractoriness by Maudsley Staging Method (MSM)], and antidepressant treatment responses were analyzed. Results: MSM-subitem1 (duration of current depressive episode; Beta = 0.209, p = 0.004), MSM-subitem5 (a history of ECT treatment; Beta = -0.210, p = 0.004), and psychiatric admissions (Beta = 0.241, p = 0.001) predicted antidepressant response of rTMS treatment. ECT was underutilized (only 3.3%). Psychiatric admissions [Exp(B) = 1.382, p = 0.021], a comorbidity of OCD [0.047, 0.005], and life stress level [0.984, 0.029] predicted the history of ECT treatment. Conclusion: Several clinical variables (e.g., number of psychiatric admissions, OCD as a comorbidity, and life stress level) were reliable clinical factors associated with antidepressant responses of rTMS treatment and may be utilized in combination with MSM subitems to evaluate levels of TRD.

Parental post-traumatic stress disorder and increased risk of chronic pain conditions and major psychiatric disorders in their offspring.

BACKGROUND: Previous research suggests that individuals with post-traumatic stress disorder (PTSD) have higher risk of chronic pain symptoms. It remains unknown whether risk of chronic pain symptoms occurs in the offspring of parents with PTSD. This study aimed to explore the risk of chronic pain conditions and depression in the offspring of parents with PTSD. METHODS: Between 1996 and 2011, we included subjects whose parents had PTSD and controls with parents without PTSD or any major psychiatric disorders (MPDs) from the Taiwan National Health Research Database. The controls (1:10) were matched for age, sex, time of birth, income, and residence. Poisson regression was applied to estimate the risk of chronic pain conditions and MPDs between case and control cohorts during the study period. The chronic pain conditions assessed were migraine, tension headache, fibromyalgia, peripheral neuropathy, dorsopathies, dysmenorrhea, irritable bowel syndrome (IBS), and dyspepsia. RESULTS: We included 1139 cases and 11,390 matched controls. After adjusting for demographics and family history of psychiatric comorbidities, offspring of parents with PTSD had higher risk for depressive disorder [reported as odds ratio (OR) with 95% confidence interval (CI): 2.59, 1.71-3.92] than controls. For chronic pain conditions, offspring of parents with PTSD had higher risk for migraine (2.01, 1.01-3.98) and IBS (1.55, 1.02-2.34) than controls. CONCLUSIONS: Healthcare workers should be aware that offspring of parents with PTSD have a higher risk of chronic pain conditions and depressive disorder. Further intervention to mitigate the risk is warranted.

Diagnostic progression to schizophrenia: A nationwide cohort study of 11 170 adolescents and young adults with autism spectrum disorder.

AIMS: Previous studies have suggested an increased risk of developing schizophrenia later in life in children with autism spectrum disorder (ASD). This study aims to investigate the diagnosis stability and the potential predictors for progression to schizophrenia in ASD. METHODS: We recruited 11 170 adolescents (10-19 years) and young adults (20-29 years) with ASD between 2001 and 2010. They were followed up to the end of 2011 to identify newly diagnosed schizophrenia. The Kaplan-Meier method and Cox regression with age as a time scale were employed to estimate incidence rates and the significance of candidate predictors. RESULTS: The progression rate from ASD to schizophrenia was 10.26% for 10 years of follow-up. Among 860 progressors, 580 (67.44%) occurred within the first 3 years after a diagnosis of ASD. The identified predictors were age (reported as hazard ratio with 95% confidence interval: 1.13; 1.11-1.15), depressive disorder (1.36; 1.09-1.69), alcohol use disorder (3.05; 2.14-4.35), substance use disorder (1.91; 1.18-3.09), cluster A personality disorder (2.95; 1.79-4.84), cluster B personality disorder (1.86; 1.05-3.28), and a family history of schizophrenia (2.12; 1.65-2.74). CONCLUSION: More than two-thirds of the progressors developed schizophrenia within the first 3 years. Demographic characteristics, physical and psychiatric comorbidities, and psychiatric family history were significant predictors of progression.

Obsessive-Compulsive Disorder and Risk of Parkinson Disease: A Nationwide Longitudinal Study.

OBJECTIVE: Several small-scale studies have suggested a biological link between obsessive-compulsive disorder (OCD) and Parkinson disease (PD). However, the temporal association of OCD and subsequent PD remained unclear. METHODS: Here, we used Taiwan National Health Insurance Research Database and included the data of 28,722 patients with OCD ( International Classification of Diseases, Ninth Revision, Clinical Modification code: 300.3) and 287,220 matched controls between 2001 and 2009. They were followed until the end of 2011 to identify diagnosis of new-onset PD ( International Classification of Diseases, Ninth Revision, Clinical Modification code: 332.0). The frequency of psychiatric outpatient visits for OCD per year (<5, 5-10, and >10) was identified as a proxy of OCD severity. RESULTS: Using the stratified Cox regression model, the hazard ratio of developing PD among patients with OCD was 2.70 (95% confidence interval = 1.74-4.18) compared with matched controls. Among patients with OCD, those with >10 psychiatric outpatient visits per year for OCD (hazard ratio = 3.18, 95% confidence interval = 2.06-4.93) were more likely to develop PD during the follow-up period compared with those with <5 psychiatric outpatient visits per years for OCD. CONCLUSIONS: OCD was found to be an independent risk factor for PD. The mechanisms underlying the temporal association between OCD and subsequent PD require further investigation.