quetiapine-fumarate has been researched along with Cardiovascular-Diseases* in 14 studies
3 trial(s) available for quetiapine-fumarate and Cardiovascular-Diseases
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Cardiometabolic risk markers during mood-stabilizing treatment: Correlation with drug-specific effects, depressive symptoms and treatment response.
Patients with bipolar disorder have higher rates of cardiometabolic comorbidities and mortality. Although guidelines emphasize the importance of cardiovascular monitoring, few studies characterized the cardiometabolic risk profile during treatment and their relation to symptomatology and treatment response.. We analyzed data from two similar 24-weeks comparative effectiveness trials, with a combined sample of 770 participants randomized to two different lithium doses, quetiapine (300 mg/day), or standard treatment without lithium. Glucose, lipids and vital signs were measured before and after 24 weeks of treatment. We calculated several cardiovascular risk scores, assessed baseline correlations and compared the four treatment arms via multiple linear regression models.. Higher cholesterol and LDL levels were associated with greater depression severity, showing differential correlations to specific symptoms, particularly agitation, low energy and suicidality. Those randomized to quetiapine showed a significant worsening of cardiometabolic markers during the 24-week trial. Neither baseline nor change in lipid levels correlated with differential treatment response.. Study duration was short from the perspective of cardiometabolic risk markers, and all treatment arms included patients taking adjunct antipsychotics. The trials compared quetiapine to lithium, but not to other medications known to affect similar risk factors.. Treatment with 300 mg/day quetiapine for 24 weeks, representing a short and common dose course, resulted in increased cardiometabolic risk markers, emphasizing the importance of monitoring during mood-stabilizing treatment. The symptom-specific associations are in line with previous studies in unipolar depression, suggesting a cardiometabolic-depression link that needs to be further studied in bipolar depression. Topics: Antipsychotic Agents; Bipolar Disorder; Cardiovascular Diseases; Depression; Humans; Quetiapine Fumarate | 2022 |
Medical burden in bipolar disorder: findings from the Clinical and Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder study (Bipolar CHOICE).
Individuals with bipolar disorder have high rates of other medical comorbidity, which is associated with higher mortality rates and worse course of illness. The present study examined common predictors of medical comorbidity.. The Clinical and Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder study (Bipolar CHOICE) enrolled 482 participants with bipolar I or bipolar II disorder in a six-month, randomized comparative effectiveness trial. Baseline assessments included current and lifetime DSM-IV-TR diagnoses, demographic information, psychiatric and medical history, severity of psychiatric symptoms, level of functioning, and a fasting blood draw. Medical comorbidities were categorized into two groups: cardiometabolic (e.g., diabetes, hyperlipidemia, and metabolic syndrome) and non-cardiovascular (e.g., seizures, asthma, and cancer). Additionally, we looked at comorbid substance use (e.g., smoking and drug dependence).. We found that 96.3% of participants had at least one other medical comorbidity. Older age predicted a greater likelihood of having a cardiometabolic condition. Early age of onset of bipolar symptoms was associated with a lower chance of having a cardiometabolic condition, but a greater chance of having other types of medical comorbidity. Additional predictors of other medical comorbidities in bipolar disorder included more time spent depressed, less time spent manic/hypomanic, and longer duration of illness. Medications associated with weight gain were associated with low high-density lipoprotein and abnormal triglycerides.. There appears to be a substantial medical burden associated with bipolar disorder, highlighting the need for collaborative care among psychiatric and general medical providers to address both psychiatric and other medical needs concomitantly in this group of patients. Topics: Adult; Antimanic Agents; Antipsychotic Agents; Asthma; Bipolar Disorder; Cardiovascular Diseases; Comorbidity; Comparative Effectiveness Research; Diabetes Mellitus; Diagnostic and Statistical Manual of Mental Disorders; Female; Humans; Hyperlipidemias; Lithium Compounds; Male; Metabolic Syndrome; Middle Aged; Neoplasms; Quetiapine Fumarate; Seizures; Smoking; Substance-Related Disorders | 2015 |
Impact of antipsychotic treatment on nonfasting triglycerides in the CATIE Schizophrenia Trial phase 1.
Recent literature documents a stronger association between nonfasting triglycerides (TG) and cardiovascular risk compared to fasting TG. Given concerns over antipsychotic effects on serum TG, this analysis explored changes in nonfasting TG in phase 1 of the CATIE Schizophrenia Trial.. Change in nonfasting TG, adjusted for baseline value, was compared between antipsychotic treatment groups using subjects with nonfasting laboratory assessments at baseline and 3 months.. Among the 246 subjects there were significant treatment differences in 3-month change from baseline (p=0.009). The greatest increases in median and adjusted mean nonfasting TG levels were seen among those randomized to quetiapine (mean+54.7 mg/dl, median+26 mg/dl) and olanzapine (mean+23.4 mg/dl, median+26.5 mg/dl), while ziprasidone was neutral (mean+0.0 mg/dl, median+8 mg/dl), and decreases were seen with risperidone (mean -18.4 mg/dl, median -6.5 mg/dl) and perphenazine (mean -1.3 mg/dl, median -22 mg/dl). Pairwise comparisons indicated a significant between-group difference for perphenazine vs. olanzapine (p=0.002) and a trend for perphenazine vs. quetiapine (p=0.006).. This analysis provides further evidence for differential antipsychotic metabolic liabilities, and confirms signals for the effects of olanzapine and quetiapine on serum TG seen in earlier CATIE analyses. Future consensus recommendations will clarify the role of nonfasting TG monitoring in routine clinical practice. Topics: Adult; Antipsychotic Agents; Benzodiazepines; Cardiovascular Diseases; Dibenzothiazepines; Female; Humans; Male; Middle Aged; Olanzapine; Perphenazine; Piperazines; Quetiapine Fumarate; Risk Factors; Risperidone; Schizophrenia; Thiazoles; Triglycerides | 2008 |
11 other study(ies) available for quetiapine-fumarate and Cardiovascular-Diseases
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The use of low-dose quetiapine does not necessarily increase the risk of major adverse cardiovascular events.
Topics: Antipsychotic Agents; Cardiovascular Diseases; Humans; Quetiapine Fumarate | 2023 |
Response to: The use of low-dose quetiapine does not necessarily increase the risk of major adverse cardiovascular events.
Topics: Antipsychotic Agents; Cardiovascular Diseases; Humans; Quetiapine Fumarate; Treatment Outcome | 2023 |
Associations between off-label low-dose olanzapine or quetiapine and cardiometabolic mortality.
Olanzapine and quetiapine are routinely used off-label at lower doses, though it remains unclear whether treatment is associated with mortality. Here, we examined the associations between low-dose olanzapine/quetiapine, defined as 5 mg/day of olanzapine equivalents (OE) with cardiometabolic mortality in a population-based, longitudinal cohort of individuals who sought specialized psychiatric services. Through cross-linked Swedish registries, 428,525 individuals without psychotic, bipolar, or cardiometabolic disorders, or previous treatment with antipsychotics or cardiometabolic-related drugs were followed for up to 10.5 years. Extended stratified Cox proportional hazards regressions were employed to estimate the hazard ratios (HR) of cardiometabolic mortality as a function of cumulative OE exposures, adjusted for age, sex, inpatient care, and time-dependent psychiatric diagnoses and treatments. Individuals were followed for a total of 2.1 million person-years. Treatment with olanzapine/quetiapine occurred in 18,317 of the cohort. In total, 2606 cardiometabolic-related deaths occurred. Treatment status (treated vs. untreated) was not significantly associated with cardiometabolic mortality (adjusted HR 0.86, 95% CI 0.64-1.15, P = 0.307). However, compared to no treatment, treatment for <6 months was significantly associated with a reduced risk (adjusted HR 0.56, 95% CI 0.37-0.87, P = 0.010) whereas treatment for 6-12 months was significantly associated with an increased risk (adjusted HR 1.89, 95% CI 1.22-2.92, P = 0.004), but not significantly beyond 12 months. Among those treated, each year exposed to an average 5 mg/day was significantly associated with increased cardiometabolic mortality (adjusted HR 1.45, 95% CI 1.06-1.99, P = 0.019). Overall, low-dose olanzapine/quetiapine treatment was weakly associated with cardiometabolic mortality. Clinicians should consider potential cardiometabolic sequelae at lower doses. Topics: Antipsychotic Agents; Benzodiazepines; Cardiovascular Diseases; Dibenzothiazepines; Humans; Off-Label Use; Olanzapine; Quetiapine Fumarate | 2022 |
Use of chlorprothixene and the risk of diabetes and major adverse cardiovascular events: A nationwide cohort study.
Chlorprothixene is commonly used off-label in low doses for sedative-hypnotic purposes although it might carry a risk of cardiometabolic adverse events due to its pharmacodynamic profile. We investigated the risk of diabetes and major adverse cardiovascular events (MACE) with use of low-dose chlorprothixene, compared with use of low-dose quetiapine in a nationwide cohort study, including all new users of low-dose chlorprothixene (n = 81 328) and low-dose quetiapine (n = 91 163) in Denmark 2000-2017. Main outcomes were diabetes and MACE (myocardial infarction, stroke and death from cardiovascular causes). The association between cumulative dose of chlorprothixene and the outcomes was tested in a case-control analysis. Low-dose chlorprothixene use was associated with increased risk of diabetes (intention-to-treat [ITT]-hazard ratio [HR]: 1.16; 95% CI: 1.08-1.25), compared with low-dose quetiapine use. This association strengthened when follow-up was restricted to time on treatment (as-treated [AT]-HR: 1.34; 95% CI: 1.14-1.56). Low-dose chlorprothixene use was also associated with increased risk of MACE (ITT-HR: 1.12; 95% CI: 1.04-1.21) and stroke (ITT-HR: 1.21; 95% CI: 1.06-1.37) but not with myocardial infarction (ITT-HR: 1.11; 95% CI: 0.95-1.30) nor death from cardiovascular causes (ITT-HR: 1.07; 95% CI: 0.96-1.20). Cumulative dose of chlorprothixene ≥6000 mg was associated with increased risk of diabetes (OR: 1.15-1.63; test for trend: p < 0.001), whereas cumulative dose of chlorprothixene ≥1500 mg was associated with increased risk of MACE (OR: 1.10-1.85; test for trend: p < 0.001). In conclusion, low-dose chlorprothixene use is associated with increased risk of cardiometabolic adverse events compared with low-dose quetiapine use. Topics: Cardiovascular Diseases; Chlorprothixene; Cohort Studies; Diabetes Mellitus, Type 2; Humans; Myocardial Infarction; Quetiapine Fumarate; Risk Factors | 2022 |
Assessing cardiometabolic parameter monitoring in inpatients taking a second-generation antipsychotic: The CAMI-SGA study - a cross-sectional study.
This study aims to determine the proportion of initial cardiometabolic assessment and its predicting factors in adults with schizophrenia, bipolar disorder or other related diagnoses for whom a second-generation antipsychotic was prescribed in the hospital setting.. Cross-sectional study.. The psychiatry unit of a Canadian tertiary care teaching hospital in Montreal, Canada.. 402 patients with aforementioned disorders who initiated, restarted or switched to one of the following antipsychotics: clozapine, olanzapine, risperidone, paliperidone or quetiapine, between 2013 and 2016.. We assessed the proportion of cardiometabolic parameters monitored.. We identified predictors that influence the monitoring of cardiometabolic parameters and we assessed the proportion of adequate interventions following the screening of uncontrolled blood pressure and fasting glucose or glycated haemoglobin (HbA1c) results.. Only 37.3% of patients received monitoring for at least three cardiometabolic parameters. Blood pressure was assessed in 99.8% of patients; lipid profile in 24.4%; fasting glucose or HbA1c in 33.3% and weight or body mass index in 97.8% of patients while waist circumference was assessed in 4.5% of patients. For patients with abnormal blood pressure and glycaemic values, 42.3% and 41.2% subsequent interventions were done, respectively. The study highlighted the psychiatric diagnosis (substance induced disorder OR 0.06 95% CI 0.00 to 0.44), the presence of a court-ordered treatment (OR 0.79 95% CI 0.35 to 1.79) and the treating psychiatrist (up to OR 34.0 95% CI 16.2 to 140.7) as predictors of cardiometabolic monitoring.. This study reports suboptimal baseline cardiometabolic monitoring of patients taking an antipsychotic in a Canadian hospital. Optimising collaboration within a multidisciplinary team may increase cardiometabolic monitoring. Topics: Adult; Antipsychotic Agents; Benzodiazepines; Blood Glucose; Canada; Cardiovascular Diseases; Cross-Sectional Studies; Glycated Hemoglobin; Humans; Inpatients; Quetiapine Fumarate | 2022 |
Editorial: Making Use of What We Know: Medical Decision-Making and Antipsychotics.
Minimizing the duration of untreated psychosis and providing comprehensive early intervention including the use of antipsychotics reflects best practice in the treatment of first-episode psychosis (FEP). Topics: Adolescent; Adult; Antipsychotic Agents; Aripiprazole; Cardiovascular Diseases; Child; Clinical Decision-Making; Diabetes Mellitus, Type 2; Humans; Psychotic Disorders; Quetiapine Fumarate | 2019 |
Atypical Antipsychotic Administration in Schizophrenic Patients Leads to Elevated Lipoprotein-Associated Phospholipase A2 Levels and Increased Cardiovascular Risk: A Retrospective Cohort Study.
The prevalence of cardiovascular disease (CVD) is higher in patients with schizophrenia than in the general population. We aimed to investigate whether atypical antipsychotics (AAP) increase the levels of lipoprotein-associated phospholipase A2 (Lp-PLA2), thereby increasing the risk of CVD. The data were from inpatients aged 18-60 years with a diagnosis of schizophrenia according to ICD-10 at the Affiliated Brain Hospital of Nanjing Medical University who underwent physical examination between 1 October 2014 and 30 September 2016. A retrospective cohort study was used to analyse the correlation between AAP, Lp-PLA2 levels and the CVD risk (it was determined that Lp-PLA2 values >200 ng/mL were defined as high CVD risk) in patients treated with monotherapy, olanzapine, clozapine or quetiapine. Data were collected for 452 patients with eligible schizophrenia: 163 treated with clozapine, 186 treated with olanzapine, 47 treated with quetiapine and 56 receiving no medication. Compared with the no-medication patients, AAP administration in patients with olanzapine, clozapine or quetiapine had higher serum Lp-PLA2 levels when age, sex, BMI and fasting glucose level were matched. AAP were significantly associated with serum Lp-PLA2 level by Spearman's correlation coefficients. The results of logistic regression analysis showed that AAP administration was an independent factor of CVD risk when adjusted by potential confounding factors. This study is the first to confirm that AAP administration, especially clozapine and olanzapine, could increase Lp-PLA2 levels and CVD risk, independent of drug-induced weight gain in schizophrenia. The extent and the factors of increasing Lp-PLA2 level and CVD risk in olanzapine, clozapine and quetiapine are discrepant. The possible effects of AAP on Lp-PLA2 in schizophrenia patients are involved in pro-inflammatory cytokines and hormones. Topics: 1-Alkyl-2-acetylglycerophosphocholine Esterase; Adult; Antipsychotic Agents; Cardiovascular Diseases; Female; Humans; Male; Olanzapine; Proline; Quetiapine Fumarate; Retrospective Studies; Risk Factors; Schizophrenia | 2018 |
Relative risks of cardiovascular disease in people prescribed olanzapine, risperidone and quetiapine.
Antipsychotics may confer long term benefits and risks, including cardiovascular disease (CVD) risk. Several studies using routine clinical data have reported associations between antipsychotics and CVD but potential confounding factors and unclear classification of drug exposure limits their interpretation.. We used data from The Health Improvement Network, a large UK primary care database to determine relative risks of (CVD) comparing similar groups of people only prescribed olanzapine versus either risperidone or quetiapine. We included participants over 18 between 1995 and 2011. To assess confounding factors we created propensity scores for being prescribed each antipsychotic. We used propensity score matching and Poisson regression to calculate the CVD incidence rate ratios for olanzapine versus the other two drugs.. We identified 18,319 people who received a single antipsychotic during follow-up (n=5090 risperidone, 7797 olanzapine and 4613 quetiapine). In unmatched analyses, the CVD incidence rate ratio (IRR) for olanzapine versus risperidone was 0.63 (0.51-0.77) but the propensity score matched IRR was 0.78 (0.61-1.02). In the unmatched olanzapine versus quetiapine analysis the IRR adjusted for age and sex for olanzapine was 1.52 (1.16-1.98) but the propensity score matched analysis gave an IRR of 1.08 (0.79-1.46).. After propensity score matching, we found no statistical differences in CVD incidence between olanzapine and either risperidone or quetiapine. Analyses which did not account for confounding factors produced very different results. Researchers must address confounding factors when designing observational studies to assess adverse outcomes of drugs, including antipsychotics. Topics: Adult; Aged; Antipsychotic Agents; Benzodiazepines; Cardiovascular Diseases; Cohort Studies; Female; Humans; Incidence; Male; Middle Aged; Olanzapine; Primary Health Care; Propensity Score; Quetiapine Fumarate; Risperidone; Schizophrenia; United Kingdom; Young Adult | 2017 |
Adverse Renal, Endocrine, Hepatic, and Metabolic Events during Maintenance Mood Stabilizer Treatment for Bipolar Disorder: A Population-Based Cohort Study.
There is limited, poorly characterized information about adverse events occurring during maintenance treatment of bipolar disorder. We aimed to determine adverse event rates during treatment with lithium, valproate, olanzapine, and quetiapine.. We conducted a propensity score adjusted cohort study using nationally representative United Kingdom electronic health records from January 1, 1995, until December 31, 2013. We included patients who had a diagnosis of bipolar disorder and were prescribed lithium (n = 2148), valproate (n = 1670), olanzapine (n = 1477), or quetiapine (n = 1376) as maintenance mood stabilizer treatment. Adverse outcomes were chronic kidney disease, thyroid disease, hypercalcemia, weight gain, hypertension, type 2 diabetes mellitus, cardiovascular disease, and hepatotoxicity. The propensity score included important demographic, physical health, and mental health predictors of drug treatment allocation. The median duration of drug treatment was 1.48 y (interquartile range 0.64-3.43). Compared to patients prescribed lithium, those taking valproate, olanzapine, and quetiapine had reduced rates of chronic kidney disease stage 3 or more severe, following adjustment for propensity score, age, and calendar year, and accounting for clustering by primary care practice (valproate hazard ratio [HR] 0.56; 95% confidence interval [CI] 0.45-0.69; p < 0.001, olanzapine HR 0.57; 95% CI 0.45-0.71; p < 0.001, quetiapine HR 0.62; 95% CI 0.47-0.80; p < 0.001). Hypothyroidism was reduced in those taking valproate (HR 0.60; 95% CI 0.40-0.89; p = 0.012) and olanzapine (HR 0.48; 95% CI 0.29-0.77; p = 0.003), compared to those taking lithium. Rates of new onset hyperthyroidism (valproate HR 0.24; 95% CI 0.09-0.61; p = 0.003, olanzapine HR 0.31; 95% CI 0.13-0.73; p = 0.007) and hypercalcemia (valproate HR 0.25; 95% CI 0.10-0.60; p = 0.002, olanzapine HR 0.32; 95% CI 0.14-0.76; p = 0.008, quetiapine HR 0.23; 95% CI 0.07-0.73; p = 0.013) were also reduced relative to lithium. However, rates of greater than 15% weight gain on valproate, olanzapine, and quetiapine were higher (valproate HR 1.62; 95% CI 1.31-2.01; p < 0.001, olanzapine HR 1.84; 95% CI 1.47-2.30; p < 0.001, quetiapine HR 1.67; 95% CI 1.24-2.20; p < 0.001) than in individuals prescribed lithium, as were rates of hypertension in the olanzapine treated group (HR 1.41, 95% CI 1.06-1.87; p = 0.017). We found no significant difference in rates of chronic kidney disease stage 4 or more severe, type 2 diabetes mellitus, cardiovascular disease, or hepatotoxicity. Despite estimates being robust following sensitivity analyses, limitations include the potential for residual confounding and ascertainment bias and an inability to examine dosage effects.. Lithium use is associated with more renal and endocrine adverse events but less weight gain than commonly used alternative mood stabilizers. Risks need to be offset with the effectiveness and anti-suicidal benefits of lithium and the potential metabolic side effects of alternative treatment options. Topics: Adult; Antipsychotic Agents; Benzodiazepines; Bipolar Disorder; Cardiovascular Diseases; Chemical and Drug Induced Liver Injury; Cohort Studies; Diabetes Mellitus, Type 2; Female; Humans; Hypercalcemia; Hypertension; Lithium Compounds; Longitudinal Studies; Male; Middle Aged; Olanzapine; Propensity Score; Quetiapine Fumarate; Renal Insufficiency; Thyroid Diseases; Valproic Acid | 2016 |
Atypical antipsychotics olanzapine, quetiapine, and risperidone and risk of acute major cardiovascular events in young and middle-aged adults: a nationwide register-based cohort study in Denmark.
A number of serious cardiovascular safety concerns related to the use of atypical antipsychotics, compared with no use, have emerged, but nearly all reports are from studies of older patients. We aimed to compare the risk of cardiovascular events between the three most commonly used atypical antipsychotics in young and middle-aged adults.. We conducted a nationwide register-based cohort study in Denmark, 1997-2011, including adults aged 18-64 years, who started treatment with oral or intramuscular olanzapine (n = 15,774), oral quetiapine (n = 18,717), and oral or intramuscular risperidone (n = 14,134). The primary outcome was any major cardiovascular event (composite of cardiovascular mortality, acute coronary syndrome, or ischemic stroke) within 1 year following treatment initiation. Cox regression was used to estimate hazard ratios (HRs) while on current antipsychotic monotherapy in the outpatient setting, adjusting for an outcome-specific disease risk score.. The crude rate of any major cardiovascular event was 5.3 per 1,000 person-years among olanzapine users, 3.4 in quetiapine users, and 5.2 in risperidone users. Compared with risperidone, the risk of any major cardiovascular event was not significantly different in olanzapine users (HR 0.90, 95 % confidence interval [CI] 0.53-1.52) and quetiapine users (HR 0.79, 95 % CI 0.45-1.39). The absolute risk difference per 1,000 person-years on treatment was -0.5 (95 % CI -2.4 to 2.7) events for olanzapine and -1.1 (95 % CI -2.9 to 2.0) events for quetiapine.. Among young and middle-aged outpatients, the risk of acute major cardiovascular events was similar with use of olanzapine, quetiapine, and risperidone. Although moderate relative differences cannot be ruled out, any differences are small in absolute terms. Topics: Administration, Oral; Adolescent; Adult; Antipsychotic Agents; Benzodiazepines; Cardiovascular Diseases; Cohort Studies; Denmark; Dibenzothiazepines; Female; Follow-Up Studies; Humans; Injections, Intramuscular; Male; Middle Aged; Olanzapine; Proportional Hazards Models; Quetiapine Fumarate; Registries; Risk; Risperidone; Sensitivity and Specificity; Young Adult | 2014 |
Quetiapine overdose: predicting intubation, duration of ventilation, cardiac monitoring and the effect of activated charcoal.
To investigate factors that predict the probability and duration of mechanical ventilation in quetiapine overdose, and if cardiac toxicity occurs, this cohort study involved 176 patients presenting to a toxicology unit on 286 occasions with quetiapine overdose. Patient demographics, dose, coingestants, single dose activated charcoal (SDAC) administration, requirement for and duration of mechanical ventilation and electrocardiogram parameters (heart rate, QT, QRS) were obtained. A fully Bayesian approach using logistic regression and time-to-event analysis was undertaken to investigate the relationship between predictor variables and the requirement for and duration of intubation. QT versus heart rate was plotted on a QT nomogram to investigate QT prolongation. The commonest clinical effects were central nervous system depression on 136 occasions (48%) and tachycardia (67%). There were no malignant arrhythmias and an abnormal QT occurred in only 24 admissions (8.4%), all with tachycardia. Hypotension (systolic blood pressure <90 mmHg) occurred on 35 occasions (12%). The logistic regression model supported dose and SDAC (<2 h) influencing the probability of intubation, but not age, sex, therapeutic use of quetiapine or coingestants. The probability of intubation was 10% after 2 g, 22% after 5 g, 37% after 10 g and 55% after 20 g and SDAC resulted in a reduced probability of intubation of 7% for 2 g ingestion. The median duration of ventilation was 22 h (interquartile: 19-28 h), which was not affected by SDAC. Ingested dose can inform early decision making about requirements for intensive care unit admission and intubation. SDAC seems to have only modest effects on outcomes but may be considered within 2 h for large ingestions. Electrocardiogram monitoring is unlikely to be necessary. Topics: Adult; Antipsychotic Agents; Cardiovascular Diseases; Charcoal; Cohort Studies; Dibenzothiazepines; Drug Interactions; Drug Overdose; Female; Humans; Intubation, Intratracheal; Male; Models, Statistical; Quetiapine Fumarate; Respiration, Artificial; Time Factors | 2009 |