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OBJECTIVES: Electroconvulsive therapy (ECT) is an effective treatment for bipolar disorder, but relapse following a successful ECT series is common. We aimed to identify clinical and sociodemographic characteristics associated with the risk of relapse following ECT in bipolar disorder. METHODS: Using data from nationwide Danish registers, we identified all patients receiving their first ECT series with an indication diagnosis of bipolar disorder between 2006 and 2018. We then followed these patients for relapse, defined as either psychiatric admission or a new ECT series, for 6 months following ECT. Associations between clinical and sociodemographic characteristics and relapse were examined via multivariable Cox proportional-hazards regression, yielding adjusted hazard rate ratios (aHRR). RESULTS: Of the 1473 patients receiving ECT for bipolar disorder (62% females, mean age = 53 years), 34% met the relapse criterion. The following characteristics were associated with an elevated risk of relapse; age <40 (aHRR = 1.54, 95% CI = 1.05-2.26); being a pensioner (aHRR = 1.73, 95% CI = 1.29-2.32), indication diagnosis for ECT being psychotic mania (aHRR = 1.63, 95% CI = 1.16-2.28), psychotic bipolar depression (aHRR = 1.37, 95% CI = 1.06-1.80), mixed episode (aHRR = 1.51, 95% CI = 1.13-2.02), or other bipolar episodes (aHRR = 1.68, 95% CI = 1.28-2.21); and treatment with antipsychotics prior to the course of ECT (aHRR = 1.32, 95% CI = 1.04-1.67). CONCLUSION: Patients with bipolar disorder face a particularly high risk of relapse following ECT if they present with the following characteristics when initiating ECT: age <40, being a pensioner, having received treatment with an antipsychotic before initiating ECT, or having psychotic bipolar depression, psychotic mania, mixed episodes, or other bipolar episodes as the indication for ECT. These findings may guide relapse monitoring following ECT in bipolar disorder.
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BACKGROUND: The comparative effectiveness of selective serotonin reuptake inhibitors (SSRIs) has been subjected to relatively little research. However, a recent study based on target trial emulation suggested that sertraline may be more effective than escitalopram. AIMS: To investigate whether sertraline, citalopram, and escitalopram differ in their effectiveness-assessed via the risk of psychiatric hospital admission and suicide following treatment initiation. The choice to focus on sertraline, citalopram, and escitalopram was made to limit confounding by indication, as the Danish depression treatment guideline from 2007 specifically listed these three SSRIs as first choice. METHOD: We conducted a target trial emulation based on data from Danish registers. We identified all individuals that initiated treatment for depression with sertraline, citalopram, or escitalopram in the period from January 1, 2007, to March 1, 2019. These individuals were followed until psychiatric hospital admission or suicide (separate analyses), death, 1 year after treatment initiation or end of data. Cox proportional hazards regression adjusted for relevant baseline covariates was performed to emulate randomized treatment allocation, comparing the rate of psychiatric hospital admission and suicide for individuals treated with sertraline (used as reference), citalopram or escitalopram, respectively. For escitalopram, we conducted a sensitivity analysis excluding data from the period during which the drug was sold under patent, as the price of the drug during that time likely entailed a different prescription pattern, increasing the risk of ("patent-related") confounding by indication. RESULTS: We identified 56,865, 118,145, and 31,083 individuals initiating treatment with sertraline, citalopram, and escitalopram, respectively. Using sertraline as reference, the adjusted hazard rate ratio (aHRR) for psychiatric admission was 0.98 (95% CI = 0.91-1.05) for citalopram and 1.21 (95% CI = 1.10-1.32) for escitalopram. Notably, in the sensitivity analysis only including patients initiating treatment after the escitalopram patent had expired, the increased risk of psychiatric hospital admission associated with escitalopram treatment was no longer present (aHRR = 0.98, 95% CI = 0.82-1.18). The results of the analyses of suicide were inconclusive, due to few outcome events. CONCLUSIONS: Sertraline, citalopram, and escitalopram do not seem to have differential effectiveness in the treatment of depression. Taking potential patent-related, time varying, confounding by indication (via severity) into account is critical for pharmacoepidemiological studies, including those employing target trial emulation.
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OBJECTIVE: Antidepressants are commonly used to treat bipolar depression but may increase the risk of mania. The evidence from randomized controlled trials, however, is limited by short treatment durations, providing little evidence for the long-term risk of antidepressant-induced mania. The authors performed a target trial emulation to compare the risk of mania among individuals with bipolar depression treated or not treated with antidepressants over a 1-year period. METHODS: The authors emulated a target trial using observational data from nationwide Danish health registers. The study included 979 individuals with bipolar depression recently discharged from a psychiatric ward. Of these, 358 individuals received antidepressant treatment, and 621 did not. The occurrence of mania and bipolar depression over the following year was ascertained, and the intention-to-treat effect of antidepressants was analyzed by using Cox proportional hazards regression with adjustment for baseline covariates to emulate randomized open-label treatment allocation. RESULTS: The fully adjusted analyses revealed no statistically significant associations between treatment with an antidepressant and the risk of mania in the full sample (hazard rate ratio=1.08, 95% CI=0.72-1.61), in the subsample concomitantly treated with a mood-stabilizing agent (hazard rate ratio=1.16, 95% CI=0.63-2.13), and in the subsample not treated with a mood-stabilizing agent (hazard rate ratio=1.16, 95% CI=0.65-2.07). Secondary analyses revealed no statistically significant association between treatment with an antidepressant and bipolar depression recurrence. CONCLUSIONS: These findings suggest that the risk of antidepressant-induced mania is negligible and call for further studies to optimize treatment strategies for individuals with bipolar depression.
Subject(s)
Antidepressive Agents , Bipolar Disorder , Mania , Humans , Bipolar Disorder/drug therapy , Antidepressive Agents/adverse effects , Antidepressive Agents/therapeutic use , Male , Female , Denmark/epidemiology , Adult , Mania/chemically induced , Middle Aged , Registries , Proportional Hazards ModelsABSTRACT
BACKGROUND: Antipsychotic polypharmacy (APP) is frequent but evidence-based guidelines on reducing APP to antipsychotic monotherapy (APM) are sparse. We aimed to systematically review clinical interventions randomizing patients to reducing APP to APM versus continuing APP. METHODS: Systematic literature review searching Medline and Embase (latest search January 10, 2024) for randomized clinical trials (RCTs) studying interventions comparing individuals randomized to reduction of APP to APM with individuals continuing on APP. Two independent reviewers performed the literature screening, data extraction, and risk of bias assessment (RoB2). We performed random effects meta-analyses on the main outcome all-cause discontinuation/"acceptability" of the treatment strategy and secondary outcomes change in psychopathology, functional level, and side effects. RESULTS: The search identified 4672 hits, whereof 8 trials (N = 1204, 6 patient-level RCTs and 2 cluster-RCTs) were included, primarily in patients with schizophrenia. All trials were associated with high risk of bias. Compared to APP continuation, reduction to APM was associated with no significant change in all-cause discontinuation (studies = 6, n = 455, RR = 1.48, 95%CI = 0.74-2.95, I2 = 78 %) or inefficacy-related discontinuation (studies = 5, n = 351, RR = 1.60, 95%CI = 0.46-5.55, I2 = 70 %). Patients randomized to APM showed a trend towards greater reduction in psychopathology (studies = 5, n = 244, SMD = -0.24, 95%CI = -0.49, 0.02, I2 = 0 %) but no difference in functional level nor side effects. The cluster-RCTs found that interventions at the departmental level can result in lower rates of APP. CONCLUSION: Although switching patients from APP to APM can be a viable approach, too few RCTs exist on this important topic. Clinicians need to evaluate potential benefits and risks of APP and APM on an individual basis. PROSPERO REGISTRATION: CRD42022329955.
Subject(s)
Antipsychotic Agents , Polypharmacy , Randomized Controlled Trials as Topic , Schizophrenia , Humans , Antipsychotic Agents/therapeutic use , Antipsychotic Agents/administration & dosage , Schizophrenia/drug therapy , Patient Acceptance of Health Care , Outcome Assessment, Health CareABSTRACT
INTRODUCTION: Research linking type 2 diabetes and depression mostly relied on hospital-based diagnoses or prescription data, overlooking many outpatient diagnoses. We aimed to quantify the risks of depression in individuals newly diagnosed with type 2 diabetes, and type 2 diabetes in those newly diagnosed with depression, while exploring potential risk differences depending on age, sex, and follow-up time. RESEARCH DESIGN AND METHODS: We conducted a matched cohort study using German nationwide outpatient claims data from 2012 to 2022. Participants were individuals newly diagnosed with type 2 diabetes (N=294 642) or depression (N=1 271 537) in 2015, matched in a 1:4 ratio to controls without these conditions by age, sex, and region. The bidirectional risk was evaluated over an 8-year period using mixed-effects Cox proportional hazards models, adjusting for the Charlson Comorbidity Index, urbanicity, and area-level deprivation. RESULTS: New type 2 diabetes diagnosis was associated with higher depression risk over 8 years (N=54 561 with depression, HR=1.23, 99% CI=1.21 to 1.24). Similarly, depression diagnosis was linked to an increased type 2 diabetes risk (N=71 848 with type 2 diabetes, HR=1.15, 99% CI=1.14 to 1.17). The association between depression and type 2 diabetes was stronger in younger age groups, especially under 34 years. Findings held across sex-stratified analyses. Time stratification showed a more pronounced association between type 2 diabetes and depression risk during the earlier follow-up quarters, whereas the risk of developing type 2 diabetes after depression diagnosis remained constant throughout the follow-up period. CONCLUSIONS: Our findings confirm a bidirectional link between type 2 diabetes and depression, particularly in younger individuals. As type 2 diabetes and depression are frequent, future research needs to study whether preventive approaches can reduce the risk of developing this comorbidity.
Subject(s)
Depression , Diabetes Mellitus, Type 2 , Outpatients , Humans , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/psychology , Male , Female , Germany/epidemiology , Middle Aged , Adult , Outpatients/statistics & numerical data , Aged , Depression/epidemiology , Follow-Up Studies , Comorbidity , Risk Factors , Cohort Studies , Young AdultABSTRACT
OBJECTIVES: Individuals with bipolar disorders (BD) have heterogenic pre-onset illness courses and responses to treatment. The pattern of illness preceding the diagnosis of BD may be a marker of future treatment response. Here, we examined associations between psychiatric morbidity preceding the diagnosis of BD and pharmacological treatment patterns in the 2 years following diagnosis. METHODS: In this register-based study, we included all patients with a diagnosis of BD attending Danish Psychiatric Services between January 1, 2012 and December 31, 2016. We examined the association between a diagnosis of substance use disorder, psychosis (other than schizophrenia or schizoaffective disorder), unipolar depression, anxiety/OCD, PTSD, personality disorder, or ADHD preceding BD and pharmacological treatment patterns following the diagnosis of BD (lithium, valproate, lamotrigine, antidepressants, olanzapine, risperidone, and quetiapine) via multivariable Cox proportional hazards regression adjusted for age, sex, and year of BD diagnosis. RESULTS: We included 9594 patients with a median age of 39 years, 58% of whom were female. Antidepressants, quetiapine, and lamotrigine were the most commonly used medications in BD and were all linked to prior depressive illness and female sex. Lithium was used among patients with less diagnostic heterogeneity preceding BD, while valproate was more likely to be used for patients with prior substance use disorder or ADHD. CONCLUSION: The pharmacological treatment of BD is linked to psychiatric morbidity preceding its diagnosis. Assuming that these associations reflect well-informed clinical decisions, this knowledge may inform future clinical trials by taking participants' prior morbidity into account in treatment allocation.
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OBJECTIVE: To investigate the comparative effectiveness of commonly used selective serotonin reuptake inhibitors (SSRIs) for comorbid depression in older adults with chronic somatic diseases by applying a target-trial-emulation framework. METHODS: Danish target-trial-emulation study including 43,061 individuals aged ≥65 years (54.1% females, mean age 77.8 years) with a first redeemed prescription for depression with sertraline (n = 6673), escitalopram (n = 7104) or citalopram (n = 29,284) in 2006-2017. Individuals had cancer, cardiovascular diseases (CVD), chronic-obstructive-pulmonary-disease (COPD)/asthma, diabetes, neurodegenerative disorders, or osteoporosis. Outcomes were treatment switching, combination/augmentation, psychiatric hospital contact for depression, and any psychiatric in-patient care. Follow-up was one year and adjusted Cox regression analyses calculated hazard rate ratios (HRR) within each somatic disease. RESULTS: Across all six disease groups and four outcomes, we found that citalopram use, compared with sertraline, was associated with lower risks in several analyses, with statistically significant results in cancer, CVD, COPD/asthma, and diabetes (e.g., HRRs for psychiatric hospital contacts for depression/any psychiatric in-patient care ranging between 0.47 and 0.61). For escitalopram, compared with sertraline, some analyses indicated poorer outcomes with significantly higher risks for combination/augmentation treatment (HRRs ranging between 1.15 and 1.40). CONCLUSIONS: Although observational studies are prone to confounding, these findings indicate clinically relevant differences between the SSRIs, with better outcomes in citalopram users and poorer outcomes in escitalopram users than sertraline, urging the need for clinical studies in this vulnerable patient population.
Subject(s)
Asthma , Cardiovascular Diseases , Diabetes Mellitus , Neoplasms , Pulmonary Disease, Chronic Obstructive , Aged , Female , Humans , Male , Asthma/drug therapy , Citalopram/therapeutic use , Denmark/epidemiology , Depression/drug therapy , Depression/epidemiology , Escitalopram , Selective Serotonin Reuptake Inhibitors/therapeutic use , Sertraline/therapeutic useABSTRACT
OBJECTIVES: Although potential adverse effects of lithium treatment on renal and endocrine systems have been extensively investigated, most prior studies are limited by selected populations and short follow-up. METHODS: Within the Psychiatric Services of the Central Denmark Region, we identified all patients with bipolar disorder and ≥1 serum-lithium (se-Li) measurements between January 1, 2013, and July 20, 2022, and reference patients with bipolar disorder matched on age, sex, and baseline creatinine. Outcomes were diagnoses of renal, thyroid and parathyroid disease, and blood tests measuring creatinine, estimated glomerular filtration rate (eGFR), thyroid-stimulating hormone (TSH), parathyroid hormone (PTH) and calcium. Analyses included unadjusted multilevel regression to describe changes in biochemical markers, and adjusted Cox regression to compare rates of disease/biochemical outcomes between lithium users and reference patients. RESULTS: Among 1646 lithium users (median age 36 years, 63% women) and 5013 reference patients, lithium users had decreasing TSH and eGFR, stable PTH, and increasing calcium levels over time. Lithium use was associated with increased rates of renal, thyroid and parathyroid disease, and levels of biochemical markers outside normal ranges (hazard rate ratios: 1.07-11.22), but the absolute number of severe outcomes was low (e.g., chronic kidney disease: N = 10, 0.6%). Notably, the rate of blood testing was substantially higher among lithium users than among reference patients (e.g., mean number of creatinine tests during the second year of follow-up: lithium users = 2.5, reference patients = 1.4). CONCLUSIONS: Severely adverse renal and endocrine outcomes are rare during lithium treatment. Observational studies of long-term lithium treatment are prone to detection bias.
Subject(s)
Bipolar Disorder , Parathyroid Diseases , Humans , Female , Adult , Male , Lithium/adverse effects , Thyroid Gland , Cohort Studies , Calcium , Lithium Compounds/adverse effects , Creatinine , Parathyroid Diseases/chemically induced , Thyrotropin , BiomarkersABSTRACT
We aimed to identify diagnosis-specific/transdiagnostic/transoutcome multivariable candidate predictors (MCPs) of key outcomes in mental disorders. We conducted an umbrella review (protocol link ), searching MEDLINE/Embase (19/07/2022), including systematic reviews of studies reporting on MCPs of response, remission, recovery, or relapse, in DSM/ICD-defined mental disorders. From published predictors, we filtered MCPs, validating MCP criteria. AMSTAR2/PROBAST measured quality/risk of bias of systematic reviews/individual studies. We included 117 systematic reviews, 403 studies, 299,888 individuals with mental disorders, testing 796 prediction models. Only 4.3%/1.2% of the systematic reviews/individual studies were at low risk of bias. The most frequently targeted outcome was remission (36.9%), the least frequent was recovery (2.5%). Studies mainly focused on depressive (39.4%), substance-use (17.9%), and schizophrenia-spectrum (11.9%) disorders. We identified numerous MCPs within disorders for response, remission and relapse, but none for recovery. Transdiagnostic MCPs of remission included lower disease-specific symptoms (disorders = 5), female sex/higher education (disorders = 3), and quality of life/functioning (disorders = 2). Transdiagnostic MCPs of relapse included higher disease-specific symptoms (disorders = 5), higher depressive symptoms (disorders = 3), and younger age/higher anxiety symptoms/global illness severity/ number of previous episodes/negative life events (disorders = 2). Finally, positive trans-outcome MCPs for depression included less negative life events/depressive symptoms (response, remission, less relapse), female sex (response, remission) and better functioning (response, less relapse); for schizophrenia, less positive symptoms/higher depressive symptoms (remission, less relapse); for substance use disorder, marital status/higher education (remission, less relapse). Male sex, younger age, more clinical symptoms and comorbid mental/physical symptoms/disorders were poor prognostic factors, while positive factors included social contacts and employment, absent negative life events, higher education, early access/intervention, lower disease-specific and comorbid mental and physical symptoms/conditions, across mental disorders. Current data limitations include high risk of bias of studies and extraction of single predictors from multivariable models. Identified MCPs can inform future development, validation or refinement of prediction models of key outcomes in mental disorders.
Subject(s)
Mental Disorders , Schizophrenia , Female , Humans , Male , Mental Disorders/diagnosis , Quality of Life , Recurrence , Schizophrenia/therapyABSTRACT
BACKGROUND: Up to 1/2 of outpatients prescribed clozapine may be partially/fully non-adherent, based on therapeutic drug monitoring (TDM). Three indices for measuring partial/full non-adherence are proposed a: 1) clozapine concentration/dose (C/D) ratio which drops to half or more of what is expected in the patient; 2) clozapine/norclozapine ratio that becomes inverted; and 3) clozapine concentration that becomes non-detectable. METHODS: These 3 proposed indices are based on a literature review and 17 cases of possible non-adherence from 3 samples: 1) an inpatient study in a Chinese hospital, 2) an inpatient randomized clinical trial in a United States hospital, and 3) and a Uruguayan outpatient study. RESULTS: The first index of non-adherence is a clozapine C/D ratio which is less than half the ratio corresponding to the patient's specific ancestry group and sex-smoking subgroup. Knowing the minimum therapeutic dose of the patient based on repeated TDM makes it much easier to establish non-adherence. The second index is inverted clozapine/norclozapine ratios in the absence of alternative explanations. The third index is undetectable concentrations. By using half-lives, the chronology of the 3 indices of non-adherence was modeled in two patients: 1) the clozapine C/D ratio dropped to ≥1/2 of what is expected from the patient (around day 2); 2) the clozapine/norclozapine ratio became inverted (around day 3); and 3) the clozapine concentration became undetectable by the laboratory (around days 9-11). CONCLUSION: Prospective studies should further explore these proposed clozapine indices in average patients, poor metabolizers (3 presented) and ultrarapid metabolizers (2 presented).
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INTRODUCTION: Antidepressants are commonly used "off-label" for bipolar depression, despite concerns over the risk of potential treatment-emergent mania (or "manic switch"). Treatment-emergent mania is difficult to study with adequate power in clinical trials as it requires a large group of participants and long follow-up. Therefore, naturalistic register-based studies have been applied to assess this phenomenon. Here, we aimed to replicate previous findings and address key methodological limitations that were not previously taken into account. METHODS: We utilized data from nationwide Danish health registries to identify patients with bipolar disorder treated with an antidepressant, either with or without concomitant treatment with a mood stabilizer (drug treatment proxied via redeemed prescriptions). We plotted the incidence of manic and depressive episodes relative to the initiation of antidepressant treatment and compared the incidence of mania in the period prior to and following initiation of antidepressant treatment (within-individual design). RESULTS: In 3554 patients with bipolar disorder initiating treatment with an antidepressant, the number of manic episodes peaked approximately 3 months prior to initiation of antidepressant treatment, and the number of depressive episodes peaked around the initiation of antidepressant prescription. This temporal pattern suggests that antidepressants were used to treat post-manic depression. CONCLUSION: Within-individual designs do not control sufficiently for confounding by indication, when the treatment indication is time-varying. Thus, results from prior within-individual studies of antidepressant treatment in the context of bipolar disorder may be invalid due to time-varying confounding by indication.
Subject(s)
Antipsychotic Agents , Bipolar Disorder , Humans , Bipolar Disorder/drug therapy , Bipolar Disorder/epidemiology , Bipolar Disorder/chemically induced , Mania/drug therapy , Antidepressive Agents/adverse effects , Antipsychotic Agents/therapeutic use , IncidenceABSTRACT
BACKGROUND: Postpartum psychotic- or mood disorders are psychiatric emergencies associated with risk of suicide and infanticide. Except from case reports, there are only few descriptions of its treatment. Therefore, we aimed to describe the treatment of women admitted with postpartum psychotic- or mood disorder in Denmark with emphasis on the use of electroconvulsive therapy (ECT). METHODS: We conducted a register-based cohort study of all women with incident postpartum psychotic- or mood disorder (no prior diagnoses of psychotic- or mood disorder or treatment with ECT) requiring admission in the period from 2011 to 2018. For these patients, we described the treatment and the 6-month readmission risk. RESULTS: We identified 91 women with postpartum psychotic- or mood disorder with a median admission length of 27 days (interquartile range: 10-45). Of those, 19% received ECT with a median time from admission to first ECT of 10 days (interquartile range: 5-16). The median number of ECT sessions was eight (interquartile range: 7-12). In the 6 months following discharge, 90% of the women received some form of psychopharmacological treatment (62% antipsychotics, 56% antidepressants, 36% anxiolytics/sedatives, 19% lithium, and 9% mood stabilizing antiepileptics), and 31% were readmitted. CONCLUSION: Psychiatric admission for incident postpartum psychotic- or mood disorder is rare in Denmark. Among those admitted, ECT and psychopharmacological treatment is commonly used. The 6-month readmission risk is high, warranting close follow-up. The fact that there is no international consensus on the optimal treatment of postpartum psychotic- or mood disorder is problematic and calls for action.
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During weak induction (from smoking and/or valproate co-prescription), clozapine ultrarapid metabolizers (UMs) need very high daily doses to reach the minimum therapeutic concentration of 350 ng/ml in plasma; clozapine UMs need clozapine doses higher than: 1) 900 mg/day in patients of European/African ancestry, or 2) 600 mg/day in those of Asian ancestry. Published clozapine UMs include 10 males of European/African ancestry, mainly assessed with single concentrations. Five new clozapine UMs (two of European and three of Asian ancestry) with repeated assessments are described. A US double-blind randomized trial included a 32-year-old male smoking two packages/day with a minimum therapeutic dose of 1,591 mg/day from a single TDM during open treatment of 900 mg/day. In a Turkish inpatient study, a 30-year-old male smoker was a possible clozapine UM needing a minimum therapeutic dose of 1,029 mg/day estimated from two trough steady-state concentrations on 600 mg/day. In a Chinese study, three possible clozapine UMs (all male smokers) were identified. The clozapine minimum therapeutic dose estimated with trough steady-state concentrations >150 ng/ml was: 1) 625 mg/day, based on a mean of 20 concentrations in Case 3; 2) 673 mg/day, based on a mean of 4 concentrations in Case 4; and 3) 648 mg/day, based on a mean of 11 concentrations in Case 5. Based on these limited studies, clozapine UMs during weak induction may account for 1-2% of clozapine-treated patients of European ancestry and <1% of those of Asian ancestry. A clozapine-to-norclozapine ratio <0.5 should not be used to identify clozapine UMs.
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PURPOSE/BACKGROUND: A recent article in this journal presented a US perspective regarding the modernization of clozapine prescription and proposed an escape from the long shadow cast by agranulocytosis. METHODS: Here, an international group of collaborators discusses a point of view complementary to the US view by focusing on worldwide outcomes of clozapine usage that may be uneven in terms of frequency of clozapine adverse drug reactions. FINDINGS/RESULTS: Studies from the Scandinavian national registries (Finland and Denmark) did not find increased mortality in clozapine patients or any clear evidence of the alleged toxicity of clozapine. Data on clozapine-associated fatal outcomes were obtained from 2 recently published pharmacovigilance studies and from the UK pharmacovigilance database. A pharmacovigilance study focused on physician reports to assess worldwide lethality of drugs from 2010 to 2019 found 968 clozapine-associated fatal outcomes in the United Kingdom. Moreover, the United Kingdom accounted for 55% (968 of 1761) of worldwide and 90% (968 of 1073) of European fatal clozapine-associated outcomes. In a pharmacovigilance study from the UK database (from 2008 to 2017), clozapine was associated with 383 fatal outcomes/year including all reports from physicians and nonphysicians. From 2018 to 2021, UK clozapine-associated fatal outcomes increased to 440/year. IMPLICATIONS/CONCLUSIONS: The interpretation of fatal outcomes in each country using pharmacovigilance databases is limited and only allows gross comparisons; even with those limitations, the UK data seem concerning. Pneumonia and myocarditis may be more important than agranulocytosis in explaining the uneven distribution of fatal outcomes in clozapine patients across countries.
Subject(s)
Agranulocytosis , Antipsychotic Agents , Clozapine , Humans , Clozapine/adverse effects , Antipsychotic Agents/adverse effects , Pharmacovigilance , Agranulocytosis/chemically induced , United KingdomABSTRACT
Acute respiratory distress syndrome (ARDS), a rapid onset inflammatory lung disease with no effective specific therapy, typically has pathogenic etiology termed pneumonia. In previous studies nuclear factor-κB (NF-κB) inhibitor α super-repressor (IκBα-SR) and extracellular superoxide dismutase 3 (SOD3) reduced pneumonia severity when prophylactically delivered by viral vector. In this study, mRNA coding for green fluorescent protein, IκBα-SR, or SOD3 was complexed with cationic lipid, passed through a vibrating mesh nebulizer, and delivered to cell culture or directly to rats undergoing Escherichia coli pneumonia. Injury level was then assessed at 48 h. In vitro, expression was observed as early as 4 h in lung epithelial cells. IκBα-SR and wild-type IκBα mRNAs attenuated inflammatory markers, while SOD3 mRNA induced protective and antioxidant effects. In rat E. coli pneumonia, IκBα-SR mRNA reduced arterial carbon dioxide (pCO2) and reduced lung wet/dry ratio. SOD3 mRNA improved static lung compliance and alveolar-arterial oxygen gradient (AaDO2) and decreased bronchoalveolar lavage (BAL) bacteria load. White cell infiltration and inflammatory cytokine concentrations in BAL and serum were reduced by both mRNA treatments compared to scrambled mRNA controls. These findings indicate nebulized mRNA therapeutics are a promising approach to ARDS therapy, with rapid expression of protein and observable amelioration of pneumonia symptoms.
Subject(s)
Pneumonia , Respiratory Distress Syndrome , Rats , Animals , NF-KappaB Inhibitor alpha/metabolism , NF-KappaB Inhibitor alpha/pharmacology , RNA, Messenger/metabolism , Escherichia coli/genetics , NF-kappa B/genetics , NF-kappa B/metabolism , NF-kappa B/pharmacology , Rats, Sprague-Dawley , Lung/metabolism , Pneumonia/genetics , Pneumonia/therapy , Pneumonia/metabolism , Respiratory Distress Syndrome/genetics , Respiratory Distress Syndrome/therapy , Respiratory Distress Syndrome/metabolismABSTRACT
OBJECTIVES: Despite the putative anti-suicidal effect of electroconvulsive therapy (ECT), patients receiving ECT remain at high risk of dying from suicide due to the severity of their underlying mental illness. We aimed to quantify this risk and to identify risk factors for suicide among patients receiving ECT. METHODS: Using nationwide Danish registers, we identified all patients that initiated ECT between 2006 and 2016. These patients were matched on sex and age to 10 reference individuals from the general Danish population. Firstly, we compared 2-year suicide risk between patients initiating ECT and the matched reference individuals. Secondly, we investigated if any patient characteristics were associated with suicide following ECT via Cox proportional hazards regression. RESULTS: A total of 11,780 patients receiving ECT and 117,800 reference individuals were included in the analyses. Among the patients receiving ECT, 161 (1.4%) died from suicide within two years. Compared to the reference individuals, patients having received ECT had a substantially elevated suicide rate (Hazard rate ratio (HRR) = 44.48, 95%CI = 31.12-63.59). Among those having received ECT, the following characteristics were associated with suicide: Male sex (adjusted HRR (AHRR) = 2.32, 95%CI = 1.63-3.30), medium-term higher education (AHRR = 2.64, 95%CI = 1.57-4.44); long-term higher education (AHRR = 3.16, 95%CI = 1.68-5.94), history of substance use disorder (AHRR = 1.51, 95%CI = 1.01-2.26) and history of intentional self-harm/suicide attempt (AHRR = 4.18, 95%CI = 2.76-6.32). CONCLUSIONS: Those who are male, have obtained medium-/long-term higher education, or have a history of substance use disorder or intentional self-harm/suicide attempt, are at particularly elevated risk of suicide following ECT. These findings may guide clinical initiatives to reduce suicides.
Subject(s)
Electroconvulsive Therapy , Self-Injurious Behavior , Substance-Related Disorders , Humans , Male , Child , Female , Risk Factors , Suicide, Attempted , Self-Injurious Behavior/epidemiologyABSTRACT
OBJECTIVE: While treatment with antipsychotics and antiepileptics have been associated with an increased risk of diabetes mellitus (DM), lithium may have the opposite effect via inhibition of glycogen synthase kinase-3. The aim of this study was to investigate whether treatment of bipolar disorder with lithium, antipsychotics, or antiepileptics is associated with the risk of DM in a real-world clinical setting. METHODS: Using nationwide registers, we identified all patients diagnosed with bipolar disorder in Danish Psychiatric Services from January 1, 1996, to January 1, 2019 (N = 30,451). The risk of developing DM was operationalized via hospital diagnoses and redeemed prescriptions for glucose-lowering drugs. For lithium, antipsychotics, valproate, and lamotrigine, we calculated hazard rate ratios (HRR) for developing DM via adjusted Cox proportional hazards models. Potential cumulative dose-response-like associations were examined using the log-rank test. RESULTS: During follow-up (245,181 person-years), 2107 (6.9%) patients developed DM. Compared with non-users of the respective drugs, we found no clinically or statistically significant difference in the risk of developing DM among patients receiving lithium (n = 11,690; incidence rate of DM/1000 person-years (IR) = 8.87, 95% CI: 8.02-9.90; HRR = 0.94, 95% CI: 0.84-1.06) or lamotrigine (n = 11,785; IR = 7.58, 95% CI: 6.69-8.59; HRR = 0.89, 95% CI: 0.77-1.02), respectively. Conversely, for patients receiving valproate (n = 5171; IR = 12.68, 95% CI: 10.87-14.80; HRR = 1.34, 95% CI: 1.14-1.58) and antipsychotics (n = 22,719; IR = 12.00, 95% CI: 11.14-12.94; HRR = 1.65, 95% CI: 1.45-1.88), respectively, there was increased risk of developing DM. For antipsychotics, we observed a clear cumulative dose-response-like association with the risk of DM. CONCLUSIONS: Treatment with valproate and antipsychotics-but not with lithium and lamotrigine-was associated with increased risk of DM in a real-world cohort of patients with bipolar disorder.
Subject(s)
Antipsychotic Agents , Bipolar Disorder , Diabetes Mellitus , Humans , Bipolar Disorder/drug therapy , Bipolar Disorder/epidemiology , Bipolar Disorder/diagnosis , Antipsychotic Agents/adverse effects , Lamotrigine/adverse effects , Valproic Acid/adverse effects , Lithium/therapeutic use , Anticonvulsants/adverse effects , Diabetes Mellitus/chemically induced , Diabetes Mellitus/epidemiology , Diabetes Mellitus/drug therapy , Antimanic Agents/adverse effectsABSTRACT
Neurodevelopmental disorders - including attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, communication disorders, intellectual disability, motor disorders, specific learning disorders, and tic disorders - manifest themselves early in development. Valid, reliable and broadly usable biomarkers supporting a timely diagnosis of these disorders would be highly relevant from a clinical and public health standpoint. We conducted the first systematic review of studies on candidate diagnostic biomarkers for these disorders in children and adolescents. We searched Medline and Embase + Embase Classic with terms relating to biomarkers until April 6, 2022, and conducted additional targeted searches for genome-wide association studies (GWAS) and neuroimaging or neurophysiological studies carried out by international consortia. We considered a candidate biomarker as promising if it was reported in at least two independent studies providing evidence of sensitivity and specificity of at least 80%. After screening 10,625 references, we retained 780 studies (374 biochemical, 203 neuroimaging, 133 neurophysiological and 65 neuropsychological studies, and five GWAS), including a total of approximately 120,000 cases and 176,000 controls. While the majority of the studies focused simply on associations, we could not find any biomarker for which there was evidence - from two or more studies from independent research groups, with results going into the same direction - of specificity and sensitivity of at least 80%. Other important metrics to assess the validity of a candidate biomarker, such as positive predictive value and negative predictive value, were infrequently reported. Limitations of the currently available studies include mostly small sample size, heterogeneous approaches and candidate biomarker targets, undue focus on single instead of joint biomarker signatures, and incomplete accounting for potential confounding factors. Future multivariable and multi-level approaches may be best suited to find valid candidate biomarkers, which will then need to be validated in external, independent samples and then, importantly, tested in terms of feasibility and cost-effectiveness, before they can be implemented in daily clinical practice.