Association Between Antipsychotic Medication Use and Diabetes.
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ABSTRACT:
SUBMITTER: Holt RIG
PROVIDER: S-EPMC6718373 | biostudies-literature | 2019 Sep
REPOSITORIES: biostudies-literature
Publications
Association Between Antipsychotic Medication Use and Diabetes.
Current diabetes reports 20190902 10
<h4>Purpose of review</h4>The prevalence of diabetes is 2-3-fold higher in people with severe mental illness than the general population. There are concerns that antipsychotics increase the risk of diabetes. This review will examine the latest epidemiological studies linking antipsychotics and diabetes, as well as the mechanisms underlying the association and the clinical implications to minimise the impact of antipsychotics on metabolic health.<h4>Recent findings</h4>Although there is an increa ...[more]
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Project description:PurposeWe investigated the association of age, sex, race, and insurance status on antipsychotic medication use among intensive care unit (ICU) patients.Materials and methodsRetrospective study of adults admitted to ICUs at a tertiary academic center. Patient characteristics, hospital course, and medication (olanzapine, quetiapine, and haloperidol) data were collected. Logistic regression models evaluated the independent association of age, sex, race, and insurance status on the use of each antipsychotic, adjusting for prespecified covariates.ResultsOf 27,137 encounters identified, 6191 (22.8%) received antipsychotics. Age was significantly associated with the odds of receiving olanzapine (P < .001), quetiapine (P = .001), and haloperidol (P = .0046). Male sex and public insurance status were associated with increased odds of receiving antipsychotics olanzapine, quetiapine, and haloperidol (Male vs Female: OR 1.13, 95% CI [1.04, 1.24], P = .0005; OR 1.22, 95% CI [1.10, 1.34], P = .0001; OR 1.28, 95% CI [1.17, 1.40], P < .0001, respectively; public insurance vs private insurance: OR 1.32, 95% CI [1.20, 1.46], P < .0001; OR 1.21, 95% CI [1.09, 1.34], P = .0004; OR 1.15, 95% CI [1.04, 1.27], P = .0058, respectively). Black race was also associated with a decreased odds of receiving all antipsychotics (olanzapine (P = .0177), quetiapine (P = .004), haloperidol (P = .0041)).ConclusionsAge, sex, race, and insurance status were associated with the use of all antipsychotic medications investigated, highlighting the importance of investigating the potential impact of these prescribing decisions on patient outcomes across diverse populations. Recognizing how nonmodifiable patient factors have the potential to influence prescribing practices may be considered an important factor toward optimizing medication regimens.
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Project description:ObjectiveGiven the increasing use and broadening of indications for use of antipsychotic medications in the general population, as well as the paucity of information on the safety of this drug class during pregnancy, the study documented patterns of antipsychotic medication use among pregnant women.MethodsMedicaid Analytic eXtract data (2001-2010) from pregnant women who delivered live-born infants were used. Antipsychotic use at both the class and the individual drug level was defined based on dispensed outpatient prescriptions. Users' characteristics, including mental disorder diagnoses, were described. Temporal trends in use, as well as discontinuation patterns and psychotropic polytherapy, during pregnancy were evaluated.ResultsAmong 1,522,247 pregnancies, the prevalence of use of second-generation antipsychotics at any time during pregnancy increased threefold, from .4% to 1.3%, over the ten-year period, while the use of first-generation antipsychotics remained stable at around .1%. The increased use of second-generation antipsychotics was largely driven by more frequent use among patients with bipolar disorder. Quetiapine and aripiprazole were the most frequently dispensed drugs, and polytherapy with antipsychotics and antidepressants (65.2%), benzodiazepines (24.9%), and other mood stabilizers (22.0%) was common. More than 50% of women receiving an antipsychotic in the three months prior to pregnancy discontinued the drug during pregnancy.ConclusionsA growing number of pregnant women in Medicaid are exposed to second-generation antipsychotics, frequently in combination with other psychotropic medications. This study highlights the importance of documenting the use and safety of these drugs during pregnancy to inform therapeutic decision making for pregnant women with psychiatric disorders.
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Project description:BackgroundPrevious research suggests a link between antidepressant use and diabetes, but it is unclear whether the association is causal or attributable to detection/ascertainment bias. To examine this, we assessed the associations of antidepressant use with change in glucose levels and incidence of undiagnosed and diagnosed diabetes.MethodsDuring an 18-year period, we monitored antidepressant use, glucose levels, and diabetes status in 5978 civil servants (70.9% male, age range 39-64 years) free of diabetes at baseline (the Whitehall II study). Use of medication and plasma glucose were assessed at four study screenings: 1991/1993, 1997/1999, 2003/2004, and 2008/2009. Incident diabetes cases were classified as either diagnosed (n = 294) if detected using self-report of physician diagnosis and/or the use of diabetes medication or undiagnosed (n = 346) if detected based on fasting and/or 2-hour postload glucose levels using an oral glucose tolerance test at the study screenings.ResultsIncidence of diagnosed diabetes was higher among antidepressant users than nonusers (odds ratio 3.10, 95% confidence interval: 1.66-5.78). However, antidepressant use was not associated with undiagnosed diabetes at any follow-up examination nor with higher fasting or 2-hour postload plasma glucose levels or increasing glucose levels over time. Odds ratio for undiagnosed diabetes for antidepressant users versus nonusers was .88 (95% confidence interval: .45-1.72, p = .70). The mean difference in glucose changes between participants reporting antidepressant use at three screenings compared with those not on antidepressant treatment was .0 mmol/L.ConclusionsThe link between antidepressant use and diabetes risk may not be causal in nature.
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