Association between inflammatory joint disease and severe or treatment-resistant depression: population-based cohort and case-control studies in Sweden.

OBJECTIVE: To investigate whether the association between depression and inflammatory joint disease (IJD; rheumatoid arthritis [RA], psoriatic arthritis [PsA], ankylosing spondylitis/spondyloarthropathies [AS], and juvenile idiopathic arthritis [JIA]) is affected by the severity or treatment-resistance of depression. METHOD: Parallel cohort studies and case-control studies among 600,404 patients with a depressive episode identified in Swedish nationwide administrative registers. Prospective and retrospective risk for IJD in patients with depression was compared to matched population comparators, and the same associations were investigated in severe or treatment-resistant depression. Analyses were adjusted for comorbidities and sociodemographic covariates. RESULTS: Patients with depression had an increased risk for later IJD compared to population comparators (adjusted hazard ratio (aHR) for any IJD 1.34 [95% CI 1.30-1.39]; for RA 1.27 [1.15-1.41]; PsA 1.45 [1.29-1.63]; AS 1.32 [1.15-1.52]). In case-control studies, patients with depression more frequently had a history of IJD compared to population controls (adjusted odds ratio (aOR) for any IJD 1.43 [1.37-1.50]; RA 1.39 [1.29-1.49]; PsA 1.59 [1.46-1.73]; AS 1.49 [1.36-1.64]; JIA 1.52 [1.35-1.71]). These associations were not significantly different for severe depression or TRD. CONCLUSION: IJD and depression are bidirectionally associated, but this association does not seem to be influenced by the severity or treatment resistance of depression.

The association between exposure to clozapine, olanzapine, and quetiapine and the outcomes perimyocarditis and heart failure: A population-based cohort study.

The risk of cardiac adverse events following clozapine use is debated and is unknown for the chemically related and widely used antipsychotics olanzapine and quetiapine. National Swedish registers were used to identify all patients 16-75 years old with antipsychotic dispensations between 2005 and 2018. The short-term outcome was a diagnosis of perimyocarditis (pericarditis and/or myocarditis) within two months of first dispensation, and the long-term outcome was heart failure (including cardiomyopathy) within three years. Cox regressions with time varying exposure were used to estimate hazard rates (HR) and their 95% confidence intervals (CI). A total of 201,045 individuals were included in the cohort. The risk of developing perimyocarditis during clozapine treatment tripled compared to no antipsychotic treatment (HR 3.4, CI 1.6-7.3), although the absolute rate remained comparably low. The long-term risk of heart failure during clozapine treatment was also elevated (HR 1.3, CI 1.1-1.7). Treatment with either or both olanzapine or quetiapine was not associated with an increased relative risk of perimyocarditis, or heart failure compared to no antipsychotic treatment. Clozapine use is therefore associated with a substantially elevated short-term risk of perimyocarditis and an increased risk of heart failure within three years.

Response to electroconvulsive therapy in treatment-resistant depression: nationwide observational follow-up study.

BACKGROUND: Previous studies have not investigated response rates after electroconvulsive therapy (ECT) in patients with non-psychotic treatment-resistant depression (TRD). AIMS: To assess and compare the response rate of ECT for patients with TRD and non-TRD, in a large and clinically representative patient sample. METHOD: Patients aged ≥18 years, who were treated for a unipolar, non-psychotic depressive episode with at least one ECT session as part of a first-time, index ECT series between 1 January 2011 and 31 December 2017 were included from the Swedish National Quality Register for ECT. Patients who had initiated a third consecutive trial of antidepressants or add-on medications before start of ECT were classified as having TRD. Patients not meeting criteria for TRD were classified as non-TRD. The main outcome was response to ECT according to the Clinical Global Impressions - Improvement Scale (CGI-I), scored as 1 or 2 ('very much' or 'much improved' after ECT, respectively). Logistic regression was used to compare outcome measures between TRD and non-TRD, adjusting for potential confounders. RESULTS: A total of 4244 patients were included. Of these, 1121 patients had TRD and 3123 patients had non-TRD. The CGI-I response rate was 65.9% in the TRD group compared with 75.9% in the non-TRD group (adjusted odds ratio 0.64, 95% CI 0.54-0.75). Older age and more severe depression were predictors of response in patients with TRD. CONCLUSIONS: A clear majority of patients with TRD, as well as patients with non-TRD, responded to ECT, although the response rate was somewhat lower for TRD.

The value of process evaluation for public health interventions: field-case studies for non-communicable disease prevention and management in five countries.

Complex interventions are needed to effectively tackle non-communicable diseases. However, complex interventions can contain a mix of effective and ineffective actions. Process evaluation (PE) in public health research is of great value as it could clarify the mechanisms and contextual factors associ-ated with variation in the outcomes, better identify effective components, and inform adaptation of the intervention. The aim of this paper is to demonstrate the value of PE through five case studies that span the research cycle. The interven-tions include using digital health, salt reduction strategies, use of fixed dose combinations, and task shifting. Insights of the methods used, and the implications of the PE findings to the project, were discussed. PE of complex interventions can refute or confirm the hypothesized mechanisms of action, thereby enabling intervention refinement, and identifying implementation strategies that can address local contextual needs, so as to improve service delivery and public health outcomes.

Health care utilisation in treatment-resistant depression: a Swedish population-based cohort study.

OBJECTIVE: To investigate the health care utilisation (HCU) among patients with treatment-resistant depression (TRD) compared to patients with depression not meeting TRD criteria. METHODS: Nationwide Swedish registers were used to identify patients 18-69 years old with incident depression and antidepressant treatment. Patients were followed prospectively and defined as having TRD at start of the third distinct consecutive treatment episode. Each of the 16,329 identified TRD patients were matched with five comparators with depression not meeting criteria for TRD. Main outcome measure was total number of inpatient days and outpatient visits, and secondary outcome was HCU in connection with a main diagnosis of depression or suicide attempt. RESULTS: TRD patients had a significantly higher risk of all-cause inpatient care than comparators (first year adjusted risk ratio [aRR] 3.03 [95%CI 3.01-3.05], years 1-3 aRR 2.15 [2.13-2.16]). This was more pronounced when the main diagnosis was depression (first year aRR 4.41 [4.36-4.45]), and after suicide attempt (first year aRR 4.43 [4.26-4.60]). Outpatient visits were also markedly more frequent for patients with TRD (first year aRR 2.05 [2.03-2.07]). Higher HCU among TRD patients persisted throughout follow-up. CONCLUSIONS: Patients with TRD may have a twofold to fourfold higher HCU than other patients with depression.KEYPOINTSThis register-based prospective study investigated health care utilisation (HCU) among patients with treatment-resistant depression (TRD) compared to other patients with depression.Patients with TRD had a two to fourfold higher HCU regarding all measured outcomes, including inpatient hospital days and outpatient visits.The elevated HCU persisted for more than three years, although decreasing gradually. This should correspond to increased costs and individual burden for patients with TRD.

The use of uncertain exposure-A method to define switching and add-on in pharmacoepidemiology.

PURPOSE: When defining exposure to pharmacological treatments in pharmacoepidemiology, register data often do not provide information regarding if a pharmacological treatment is a switch or an add-on. This study aims to compare two methods defining switching and add-on therapies and their impact on exposure-outcome associations. Additionally, to guide bias reduction, it aims to describe how the methods relate to immortal time bias and selection bias. METHODS: Cohort study using Swedish population-based health registers to identify antidepressant (AD) prescriptions as exposures while hospitalizations for psychiatric reasons were used as an empirical outcome example. The first method for exposure definition used conditioning on future exposure (FE), the second used the concept of uncertain exposure (UE). To estimate associations between outcome and exposure categories "Use of one AD," "Use of two or more ADs", and "UE" compared to "Unexposed," hazard ratios (HRs) and 95% confidence intervals were estimated using Cox regression adjusted for age and sex. RESULTS: Using the UE method, 7.2% of time periods were classified as "UE" with a notable proportion of psychiatric hospitalizations (7.7%) occurring during this time, while when using the FE method these hospitalizations were distributed over unexposed time and AD use time. The FE method resulted in slightly higher associations than the UE method. The highest HR was found during "UE": HR (95% CI) 5.54 (5.06-6.07). CONCLUSIONS: This study suggests that to reduce the potential immortal time bias, selection bias, and exposure misclassification inherent to the FE method, the UE method could be used for identifying switching and add-on therapies. If not used as a main exposure definition, the UE method may be used to investigate the impact of UE time in a sensitivity analysis.

A Mobile Health Intervention for Patients With Depressive Symptoms: Protocol for an Economic Evaluation Alongside Two Randomized Trials in Brazil and Peru.

BACKGROUND: Mobile health interventions provide significant strategies for improving access to health services, offering a potential solution to reduce the mental health treatment gap. Economic evaluation of this intervention is needed to help inform local mental health policy and program development. OBJECTIVE: This paper presents the protocol for an economic evaluation conducted alongside 2 randomized controlled trials (RCTs) to evaluate the cost-effectiveness of a psychological intervention delivered through a technological platform (CONEMO) to treat depressive symptoms in people with diabetes, hypertension, or both. METHODS: The economic evaluation uses a within-trial analysis to evaluate the incremental costs and health outcomes of CONEMO plus enhanced usual care in comparison with enhanced usual care from public health care system and societal perspectives. Participants are patients of the public health care services for hypertension, diabetes, or both conditions in São Paulo, Brazil (n=880) and Lima, Peru (n=432). Clinical effectiveness will be measured by reduction in depressive symptoms and gains in health-related quality of life. We will conduct cost-effectiveness and cost-utility analyses, providing estimates of the cost per at least 50% reduction in 9-item Patient Health Questionnaire scores, and cost per quality-adjusted life year gained. The measurement of clinical effectiveness and resource use will take place over baseline, 3-month follow-up, and 6-month follow-up in the intervention and control groups. We will use a mixed costing methodology (ie, a combination of top-down and bottom-up approaches) considering 4 cost categories: intervention (CONEMO related) costs, health care costs, patient and family costs, and productivity costs. We will collect unit costs from the RCTs and national administrative databases. The multinational economic evaluations will be fully split analyses with a multicountry costing approach. We will calculate incremental cost-effectiveness ratios and present 95% CIs from nonparametric bootstrapping (1000 replicates). We will perform deterministic and probabilistic sensitivity analyses. Finally, we will present cost-effectiveness acceptability curves to compare a range of possible cost-effectiveness thresholds. RESULTS: The economic evaluation project had its project charter in June 2018 and is expected to be completed in September 2021. The final results will be available in the second half of 2021. CONCLUSIONS: We expect to assess whether CONEMO plus enhanced usual care is a cost-effective strategy to improve depressive symptoms in this population compared with enhanced usual care. This study will contribute to the evidence base for health managers and policy makers in allocating additional resources for mental health initiatives. It also will provide a basis for further research on how this emerging technology and enhanced usual care can improve mental health and well-being in low- and middle-income countries. TRIAL REGISTRATION: ClinicalTrials.gov NCT12345678 (Brazil) and NCT03026426 (Peru); https://clinicaltrials.gov/ct2/show/NCT02846662 and https://clinicaltrials.gov/ct2/show/NCT03026426. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/26164.

Response rate and subjective memory after electroconvulsive therapy in depressive disorders with psychiatric comorbidity.

BACKGROUND: Response rates after and tolerability of electroconvulsive therapy (ECT) in depressive disorders with psychiatric comorbidity are uncertain. METHODS: Data on patients with a depressive episode and a first course of ECT were collected from the Swedish National Quality Register for ECT. Logistic regression analyses, adjusted for gender, age, and depressive episode severity, were used to compare patients with and without comorbidity. The clinical response assessment Clinical Global Impression - Improvement Scale was used in 4413 patients and the memory item from the Comprehensive Psychiatric Rating Scale was used for subjective memory impairment rating after ECT in 3497 patients. RESULTS: In patients with depressive disorder and comorbid personality disorder or anxiety disorder, 62.7% and 73.5%, respectively, responded after ECT compared with 84.9% in patients without comorbidity [adjusted odds ratio (aOR) 0.43, 95% confidence interval (CI) 0.34-0.55, and aOR 0.61, 95% CI 0.51-0.73, respectively]. The proportion of responding patients with comorbid alcohol use disorder was 77.1%, which was not significantly different from that in patients without comorbidity (aOR 0.75, 95% CI 0.57-1.01). The impact of comorbidity decreased with higher age and depressive episode severity. Subjective ratings of memory impairment did not differ between patients with and without comorbidity. LIMITATIONS: Observational non-validated clinical data. CONCLUSIONS: The response rate after ECT in depression may be lower with concurrent personality disorder and anxiety disorder; however, the majority still respond to ECT. This implies that psychiatric comorbidity should not exclude patients from ECT.

Effect of a Digital Intervention on Depressive Symptoms in Patients With Comorbid Hypertension or Diabetes in Brazil and Peru: Two Randomized Clinical Trials.

Importance: Depression is a leading contributor to disease burden globally. Digital mental health interventions can address the treatment gap in low- and middle-income countries, but the effectiveness in these countries is unknown. Objective: To investigate the effectiveness of a digital intervention in reducing depressive symptoms among people with diabetes and/or hypertension. Design, Setting, and Participants: Participants with clinically significant depressive symptoms (Patient Health Questionnaire-9 [PHQ-9] score ≥10) who were being treated for hypertension and/or diabetes were enrolled in a cluster randomized clinical trial (RCT) at 20 sites in São Paulo, Brazil (N=880; from September 2016 to September 2017; final follow-up, April 2018), and in an individual-level RCT at 7 sites in Lima, Peru (N=432; from January 2017 to September 2017; final follow-up, March 2018). Interventions: An 18-session, low-intensity, digital intervention was delivered over 6 weeks via a provided smartphone, based on behavioral activation principles, and supported by nurse assistants (n = 440 participants in 10 clusters in São Paulo; n = 217 participants in Lima) vs enhanced usual care (n = 440 participants in 10 clusters in São Paulo; n = 215 participants in Lima). Main Outcomes and Measures: The primary outcome was a reduction of at least 50% from baseline in PHQ-9 scores (range, 0-27; higher score indicates more severe depression) at 3 months. Secondary outcomes included a reduction of at least 50% from baseline PHQ-9 scores at 6 months. Results: Among 880 patients cluster randomized in Brazil (mean age, 56.0 years; 761 [86.5%] women) and 432 patients individually randomized in Peru (mean age, 59.7 years; 352 [81.5%] women), 807 (91.7%) in Brazil and 426 (98.6%) in Peru completed at least 1 follow-up assessment. The proportion of participants in São Paulo with a reduction in PHQ-9 score of at least 50% at 3-month follow-up was 40.7% (159/391 participants) in the digital intervention group vs 28.6% (114/399 participants) in the enhanced usual care group (difference, 12.1 percentage points [95% CI, 5.5 to 18.7]; adjusted odds ratio [OR], 1.6 [95% CI, 1.2 to 2.2]; P = .001). In Lima, the proportion of participants with a reduction in PHQ-9 score of at least 50% at 3-month follow-up was 52.7% (108/205 participants) in the digital intervention group vs 34.1% (70/205 participants) in the enhanced usual care group (difference, 18.6 percentage points [95% CI, 9.1 to 28.0]; adjusted OR, 2.1 [95% CI, 1.4 to 3.2]; P < .001). At 6-month follow-up, differences across groups were no longer statistically significant. Conclusions and Relevance: In 2 RCTs of patients with hypertension or diabetes and depressive symptoms in Brazil and Peru, a digital intervention delivered over a 6-week period significantly improved depressive symptoms at 3 months when compared with enhanced usual care. However, the magnitude of the effect was small in the trial from Brazil and the effects were not sustained at 6 months. Trial Registration: ClinicalTrials.gov: NCT02846662 (São Paulo) and NCT03026426 (Lima).

Risk Factors for Suicide and Suicide Attempts Among Patients With Treatment-Resistant Depression: Nested Case-Control Study.

The risk of suicide is elevated among patients with treatment-resistant depression (TRD). Risk factors for suicide and suicide attempts among cases and controls with TRD were investigated using data from nationwide Swedish registers. Among 119,407 antidepressant initiators with a diagnosis of depression, 15,631 patients who started a third sequential treatment trial during the same depressive episode were classified with TRD. A nested case-control study compared cases with suicide and suicide attempts with up to three closely matched controls. Sociodemographic and clinical risk factors were assessed using conditional logistic regression analyses. In all, 178 patients died by suicide and 1,242 experienced a suicide attempt during follow-up. History of suicide attempts, especially if <1 year after the attempt, was a significant independent risk factor for suicide (adjusted odds ratio [aOR], 8.9; 95% confidence interval [CI], 5.1-15.7) as were 10 to 12 years of education compared to lower education (aOR, 1.69; 95% CI, 1.02-2.81). For attempted suicide, the strongest independent risk factors were history of suicide attempts (<1 year aOR, 5.1; 95% CI, 4.0-6.5), substance abuse (aOR, 2.6; 95% CI, 2.2-3.1), personality disorders (aOR, 1.9; 95% CI, 1.5-2.3), and somatic comorbidity (aOR, 2.0; 95% CI, 1.04-3.9). Suicide attempts, especially if recent, are strong risk factors for completed suicide among patients with TRD. Established risk factors for suicide attempts were confirmed for patients with TRD.

A register-based approach to identifying treatment-resistant depression-Comparison with clinical definitions.

BACKGROUND: Several definitions of treatment-resistant depression (TRD) are used for clinical research, but no verified model for use in register data exists. We aimed to compare a novel model created for use in register data-the Karolinska Institutet Model (KIM)-to the clinical definitions regarding the proportion of patients identified with TRD, their characteristics and clinical outcomes. METHODS: All patients in Sweden initiating antidepressant treatment with a diagnosis of depression in specialized healthcare 2006-2014 were identified and followed in national registers. In KIM, patients who initiated a third sequential, >28-day antidepressant treatment trial were defined as having TRD. Proportion of TRD and patient characteristics were compared with register adaptations of the European Staging Model (ESM), Massachusetts General Hospital Staging Method (MGH-s), and Maudsley Staging Model (MSM). Differences in patient characteristics were assessed with Chi-square tests and one-way ANOVAs. Hazard ratios for psychiatric hospitalization and for death from external causes were estimated by Cox proportional hazard regressions. RESULTS: Out of 127,108 antidepressant initiators with depression, the highest proportion of TRD was found using the MGH-s (19.0%), followed by MSM (15.3%), KIM (12.9%), and ESM (9.5%). Clinical characteristics were similar across the models. Compared with TRD patients identified by KIM, those identified by ESM had a marginally higher risk for psychiatric hospitalization (adjusted hazard ratio [aHR] 1.03, 95%CI 1.00-1.05), whereas those identified by MGH-s (aHR 0.92; 0.90-0.94) and MSM (aHR 0.95; 0.94-0.97) had a slightly reduced risk. Patients identified by MGH-s showed a reduced mortality compared with KIM (aHR 0.84; 0.72-0.98). CONCLUSIONS: This study provides insight into the differing characteristics of patients captured by various TRD models when used for register research. Models yielding lower proportions of TRD seemed to identify patients with greater morbidity. The KIM may be useful for register based research in TRD.

Risk and risk factors for disability pension among patients with treatment resistant depression- a matched cohort study.

BACKGROUND: Treatment resistant depression (TRD) is common among patients with depression, and is associated with clinical and functional disability. However, the risk and risk factors for being granted disability pension (DP) among patients with TRD have not been investigated. METHODS: All antidepressant initiators in Sweden with a diagnosis of depression in specialized care were identified in nationwide registers 2006-2013 and followed regarding treatment trials. TRD was defined as the start of a third sequential trial. Patients with TRD who were not on DP (N = 3204) were matched by age, sex, history of depression, calendar year, and time for treatment start with 3204 comparators with depression and ongoing antidepressant treatment. A proportional Cox Regression was performed with DP as outcome, adjusted for various sociodemographic and clinical covariates. RESULTS: Compared to the comparison cohort, TRD was associated with a doubled risk for all-cause DP (aHR 2.07; 95%CI 1.83-2.35), DP due to depression (2.28; 1.82-2.85) and to any mental disorder (2.24; 1.95-2.57) but not due to somatic diagnoses (1.25; 0.84-1.86). Among significant risk factors for DP in TRD were female sex, being > 29 years of age, unemployment and a diagnosis of comorbid personality disorder (ICD-10 codes F60.0-9). CONCLUSION: TRD is associated with an elevated risk for DP compared to other patients with depression, with large potential costs for the affected patients and for society. Clinical and therapeutic implications for patients with TRD who are granted DP should be further investigated. LIMITATION: No clinical data, e.g. type of depression or reason for treatment switch, was available for this study.

Risk of Delayed Discharge and Reoperation of Gastric Bypass Patients with Psychiatric Comorbidity-a Nationwide Cohort Study.

BACKGROUND: Gastric bypass (GBP) surgery is considered a safe and effective treatment for obesity. However, there is uncertainty regarding the impact of preexisting psychiatric comorbidity on GBP complications. We have investigated whether a psychiatric diagnosis before GBP surgery is associated with delayed discharge (the odds of being in the 90th percentile of length of stay) and rate of reoperation in a nationwide Swedish cohort. METHODS: Patients undergoing GBP surgery during 2008-2012 were identified and followed up through the National Patient Register and the Prescribed Drug Register. Logistic regression models were fitted to the studied outcomes. RESULTS: Among the 22,539 patients identified, a prior diagnosis of bipolar disorder, schizophrenia, depression, neurotic disorders, ADHD (attention deficit hyperactivity disorder), substance use disorder, eating disorder, personality disorder, or self-harm since 1997 (n = 9480) was found to be associated with delayed discharge after GBP surgery (odds ratio [OR] = 1.47, confidence interval [CI] 1.34-1.62), especially in patients with psychiatric hospitalization exceeding 1 week in the 2 years preceding GBP surgery (OR = 2.06, CI 1.30-3.28), compared with those not hospitalized within psychiatry. Likewise, patients with a prior psychiatric diagnosis were more likely to be reoperated within 30 days (OR = 1.25, CI 1.11-1.41), with twice the likelihood OR 2.23 (CI 1.26-3.92) for patients with psychiatric hospitalization of up to a week in the 2 years preceding GBP surgery, compared with patients who had not been hospitalized within psychiatry. CONCLUSIONS: A psychiatric diagnosis before GBP surgery was associated with delayed discharge and increased likelihood of reoperation within 30 days. Patients with a prior psychiatric diagnosis may, therefore, need additional attention and support.

Methods for constructing treatment episodes and impact on exposure-outcome associations.

PURPOSE: To assess the impact on exposure time and outcome misclassifications, and consequent impact on exposure-outcome associations from treatment episode construction. We investigated the dosage assumptions of 1 unit per day, and 1 DDD per day, versus actual prescribed dosage under different handling of gaps and overlaps of prescriptions. METHODS: Data on mirtazapine and citalopram exposure (years 2006-2014) from the Swedish Prescribed Drug register were used. Via a within individuals design we compared method A, based on actual dosage, with methods B and C based on 1 unit of drug per day and 1 DDD per day assumptions, respectively, including consideration of gaps and overlaps. Four outcomes were used, hospitalizations and outpatient visits for all and for psychiatric causes. RESULTS: Relative to method A, both alternative methods lead to misclassification of exposure time. With regard to outcome misclassifications, method B overestimates the effect of the exposure on the outcome in 77% and 100% of exposure definition comparisons for mirtazapine and citalopram respectively, while 23% of the comparisons for mirtazapine results in underestimation of exposure-outcome associations. Conversely, treatment episodes based on DDD (method C) result in underestimation of the exposure-outcome association in 100% and 87.5% of exposure definition comparisons for mirtazapine and citalopram respectively, while 12.5% of the comparisons for citalopram results in overestimation of the exposure-outcome associations. CONCLUSIONS: The study provides results that have consistent clinical relevance. We have showed that a non-accurate construction of exposure time may lead to errors on outcome detection during exposed time, and consequently affect conclusions on safety or efficacy profile of a treatment.

Substance use disorders and risk for treatment resistant depression: a population-based, nested case-control study.

BACKGROUND AND AIMS: Treatment-resistant depression (TRD), defined as inadequate treatment response after at least two adequate treatment trials, is common among patients initiating antidepressant treatment. Current or previous substance use disorders (SUD) are common among patients with depression and often lead to worse treatment outcomes. However, in clinical studies, SUD have not been found to increase the risk for TRD. The aim of this study was to investigate the association between SUD and TRD. DESIGN: Nested case-control study. SETTING: Nation-wide governmental health-care registers in Sweden. CASES AND CONTROLS: Data on prescribed drugs and diagnoses from specialized health care were used to establish a prospectively followed cohort of antidepressant initiators with depression (n = 121 669) from 2006 to 2014. Of these, 15 631 patients (13%) were defined as TRD cases, with at least three treatment trials within a single depressive episode. Each case with TRD was matched on socio-demographic data with five controls with depression. MEASUREMENTS: Crude and adjusted odds ratios (aOR) with 95% confidence intervals (CI) estimated the association between TRD and SUD diagnosis and/or treatment in five different time intervals until the time for fulfillment of TRD definition for the case. The analysis was adjusted for clinical and socio-demographic covariates. FINDINGS: Having any SUD during, or ≤ 180 days before start of, antidepressant treatment was associated with almost double the risk for TRD [≤ 180 days before: adjusted OR (aOR) = 1.86, CI = 1.70-2.05]. Increased risks for TRD were found ≤ 180 days before treatment start for the subcategories of sedative use (aOR = 2.37; 1.88-2.99), opioids (aOR = 2.02; 1.48-2.75), alcohol (aOR = 1.77; CI = 1.59-1.98) and combined substance use (aOR = 2.31; 1.87-2.99). CONCLUSIONS: Recent or current substance use disorders is positively associated with treatment resistance among patients initiating treatment for depression.

A Post-Authorization Safety Study of Quetiapine as Antidepressant Treatment in Sweden: Nested Case-Control Analyses of Select Outcomes.

INTRODUCTION: This post-authorization safety study (PASS) was a commitment to the European Medicines Agency. OBJECTIVE: This PASS investigated quetiapine as antidepressant treatment in Swedish registers with regard to the risk for all-cause mortality, self-harm and suicide, acute myocardial infarction, stroke, diabetes mellitus, extrapyramidal disorders, and somnolence. METHODS: Users of quetiapine and antidepressants (2011‒2014) who had changed treatment in the past year were included. Conditional logistic regression models were used to calculate odds ratios (ORs) and their 95% confidence intervals (CIs) for each outcome in nested case-control studies for quetiapine as combination therapy and monotherapy, monotherapy with antidepressants, and no medication, versus the use of combinations of antidepressants (reference group). RESULTS: Overall, 7421 quetiapine users and 281,303 antidepressant users were included. For quetiapine in combination, risks were increased for all-cause mortality [adjusted OR (aOR) 1.31, 95% CI 1.12-1.54] compared with combinations of antidepressants; however, when stratified by age, only patients ≥ 65 years of age had an increased mortality, and, in a post hoc analysis excluding patients with Parkinson's disease, no mortality increase remained. Furthermore, the risk for self-harm and suicide was increased (aOR 1.53, 95% CI 1.31-1.79), but when stratified by age, the risk increase was found only among patients aged 18-64 years. Risks were also increased for stroke among patients ≥ 65 years of age (aOR 1.47, 95% CI 1.01-2.12), for extrapyramidal disorder (aOR 6.15, 95% CI 3.57-10.58), and for somnolence (aOR 2.41, 95% CI 1.42-4.11). CONCLUSION: Risks for all-cause mortality, self-harm and suicide, and stroke in older patients may be higher among patients treated with quetiapine and antidepressant combination therapy.

All-cause mortality in patients with treatment-resistant depression: a cohort study in the US population.

BACKGROUND: Treatment-resistant depression (TRD) may represent a substantial proportion of major depressive disorder (MDD); however, the risk of mortality in TRD is still incompletely assessed. METHODS: Data were obtained from Optum Clinformatics™ Extended, a US claims database. Date of the first antidepressant (AD) dispensing was designated as the index date for study entry and 6 months prior to that was considered the baseline period. Patients with MDD aged ≥ 18 years, index date between January 1, 2008 and September 30, 2015, no AD claims during baseline, and continuous enrollment in the database during baseline were included. Patients who started a third AD regimen after two regimens of appropriate duration were included in the TRD cohort. All-cause mortality was compared between patients with TRD and non-TRD MDD using a proportional hazards model and Kaplan-Meier estimate with TRD status being treated as a time-varying covariate. The model was adjusted for study year, age, gender, depression diagnosis, substance use disorder, psychiatric comorbidities, and Charlson comorbidity index. RESULTS: Out of 355,942 patients with MDD, 34,176 (9.6%) met the criterion for TRD. TRD was associated with a significantly higher mortality compared with non-TRD MDD (adjusted HR: 1.29; 95% CI 1.22-1.38; p < 0.0001). Survival time was significantly shorter in the TRD cohort compared with the non-TRD MDD cohort (p < 0.0001). CONCLUSIONS: Patients with TRD had a higher all-cause mortality compared with non-TRD MDD patients.

Medication persistence to antihypertensive drug treatment - a cross-sectional study of attitudes towards hypertension and medication in persistent and non-persistent patients.

Purpose: To study the differences in attitudes towards hypertension and drug treatment between patients persistent and non-persistent to antihypertensive drug treatment. Materials and methods: Cross-sectional study on patients with hypertension treated at 25 primary healthcare centres in Stockholm, Sweden. Questionnaires were sent to the patients 3-12 months after initiation of antihypertensive drug treatment. Persistent medication users, defined as patients with less than 30 days without tablet supply between prescription refills, were compared with non-persistent users by scores from Likert scales: Brief-Illness Perception Questionnaire (Brief IPQ, 0-10) and Beliefs about Medicines Questionnaire (BMQ General, 4-20 and BMQ Specific, 5-25). Results: A total of 711 patients were included in the final analyses (mean age: 62 years; 50% women), of whom 609 (86%) were classified as persistent and 102 (14%) as non-persistent by analyses of their filled prescriptions. Likert scales from the Brief-IPQ showed (all p < 0.02) that persistent patients believed that hypertension was a chronic condition (median 6 vs. 4), that hypertension had less consequences on their life (median 2 vs. 3) and that they can prevent cardiovascular disease by taking antihypertensive treatment (median 7 vs. 5). Likert scales from the BMQ General showed (all p < 0.02) that persistent patients believed that there are potential benefits from taking the treatment (median 16 vs. 16), and they did not believe that the doctors put too much trust in drugs (median 12 vs. 13). Further, results from the BMQ Specific showed that they believed that the antihypertensive drugs are necessary for them in order to maintain or improve their own health (median 17 vs. 16). Conclusions: Primary healthcare providers should further emphasize the chronicity of hypertension diagnosis and the benefits of treatment, to improve the patients' medication persistence to antihypertensive treatment.

Addressing Depression Comorbid With Diabetes or Hypertension in Resource-Poor Settings: A Qualitative Study About User Perception of a Nurse-Supported Smartphone App in Peru.

BACKGROUND: Smartphone apps could constitute a cost-effective strategy to overcome health care system access barriers to mental health services for people in low- and middle-income countries. OBJECTIVE: The aim of this paper was to explore the patients' perspectives of CONEMO (Emotional Control, in Spanish: Control Emocional), a technology-driven, psychoeducational, and nurse-supported intervention delivered via a smartphone app aimed at reducing depressive symptoms in people with diabetes, hypertension or both who attend public health care centers, as well as the nurses' feedback about their role and its feasibility to be scaled up. METHODS: This study combines data from 2 pilot studies performed in Lima, Peru, between 2015 and 2016, to test the feasibility of CONEMO. Interviews were conducted with 29 patients with diabetes, hypertension or both with comorbid depressive symptoms who used CONEMO and 6 staff nurses who accompanied the intervention. Using a content analysis approach, interview notes from patient interviews were transferred to a digital format, coded, and categorized into 6 main domains: the perceived health benefit, usability, adherence, user satisfaction with the app, nurse's support, and suggestions to improve the intervention. Interviews with nurses were analyzed by the same approach and categorized into 4 domains: general feedback, evaluation of training, evaluation of study activities, and feasibility of implementing this intervention within the existing structures of health system. RESULTS: Patients perceived improvement in their emotional health because of CONEMO, whereas some also reported better physical health. Many encountered some difficulties with using CONEMO, but resolved them with time and practice. However, the interactive elements of the app, such as short message service, android notifications, and pop-up messages were mostly perceived as challenging. Satisfaction with CONEMO was high, as was the self-reported adherence. Overall, patients evaluated the nurse accompaniment positively, but they suggested improvements in the technological training and an increase in the amount of contact. Nurses reported some difficulties in completing their tasks and explained that the CONEMO intervention activities competed with their everyday work routine. CONCLUSIONS: Using a nurse-supported smartphone app to reduce depressive symptoms among people with chronic diseases is possible and mostly perceived beneficial by the patients, but it requires context-specific adaptations regarding the implementation of a task shifting approach within the public health care system. These results provide valuable information about user feedback for those building mobile health interventions for depression.

Monotherapy vs. combination therapy for post mania maintenance treatment: A population based cohort study.

In recent years, the use of atypical antipsychotics and combination therapy for relapse prevention in bipolar disorder has increased substantially. However, real-world data on the comparative effectiveness of these treatment options are largely non-existent. We conducted a population-based cohort study, using data from Swedish national registers. All patients aged 18-75 years who were hospitalized for mania 2006-2014 and filled at least one prescription of lithium, valproate, olanzapine, quetiapine, aripiprazole or any combination of these drugs were included, and followed for up to one year after hospital discharge, generating follow-up data from 5 713 hospitalizations. We used Cox proportional hazard regression models to study time to treatment failure for each individual drug and combination therapy, using lithium as comparator. Treatment failure was defined as treatment discontinuation, switch, or rehospitalization, and the results were adjusted for clinical and sociodemographic factors. We found that treatment failure occurred in 85% of cases and that the majority of combination therapies were associated with lower risks of treatment failure compared to monotherapies. Patients combining lithium + valproate + quetiapine had the lowest risk of treatment failure (adjusted HR [AHR] 0.40, 95% CI 0.30-0.54), followed by patients on lithium + valproate + olanzapine (AHR 0.55, 95% CI 0.45-0.68). In contrast, monotherapies with antipsychotics were associated with significantly higher risks of treatment failure compared to single use of lithium. In conclusion, our results support experimental findings, suggesting that combination therapy is more effective than monotherapy after a manic episode.