ABSTRACT
OBJECTIVES: To describe the proportions of veterans living with schizophrenia-related disorders monitored for dyslipidemia and hyperglycemia and to investigate whether the likelihood of metabolic dysregulation monitoring was influenced by veterans' sociodemographic characteristics, preswitch pharmacologic treatment, and monitoring before the switch from one second-generation antipsychotic (SGA) to another. DESIGN: Retrospective, observational, descriptive study. SETTING: Veterans Affairs (VA) Healthcare System between October 1, 2001, and December 31, 2003. PATIENTS: 1,826 veterans with schizophrenia-related disorders. INTERVENTION: Veterans who were dispensed two or more prescriptions for one of five SGAs (i.e., clozapine, olanzapine, quetiapine, risperidone, and ziprasidone) on the VA Healthcare System formulary were identified. Of these veterans, a subset that was switched from one SGA to another was identified. From this subset, veterans were identified who were on the first SGA continuously for at least 90 days before the index date and the new SGA for 180 or more days after. Finally, among these veterans, ICD-9 codes were used to identify veterans with a schizophrenia or schizoaffective disorder diagnosis (ICD-9 code 295.xx or 296). MAIN OUTCOME MEASURES: Proportions of veterans with lipid (i.e., low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides) and blood glucose (i.e., fasting blood glucose [FBG], glycosylated hemoglobin [A1C]) laboratory results. RESULTS: Nearly 39% of the veterans had at least one of three lipid fractions monitored 6 months or less before their SGA switch and 59% during the 12 months after. The corresponding proportions of veterans monitored were 57% and 80% for FBG and 19% and 31% for A1C. Pharmacologic agent for metabolic dysregulation, monitoring during the 6 months before the switch, and age 50 years or older were significant predictors of monitoring after the SGA switch for all three laboratory parameters. CONCLUSION: These findings serve as a benchmark for lipid and blood glucose monitoring among patients who switch SGA therapy. Veterans' metabolic dysregulation was more likely to be monitored after SGA switch for those receiving pharmacologic treatment for metabolic dysregulation, monitored before the switch, and aged 50 years or older. Implementation of monitoring guidelines in daily practice is emphasized to ensure that individuals living with schizophrenia-related disorders and taking SGAs achieve optimal physical health.
Subject(s)
Antipsychotic Agents/adverse effects , Drug Monitoring/standards , Schizophrenia/drug therapy , Adult , Antipsychotic Agents/therapeutic use , Blood Glucose/drug effects , Cholesterol, HDL/blood , Cholesterol, LDL/blood , Dyslipidemias/chemically induced , Dyslipidemias/diagnosis , Dyslipidemias/epidemiology , Female , Glycated Hemoglobin/analysis , Humans , Hyperglycemia/chemically induced , Hyperglycemia/diagnosis , Hyperglycemia/epidemiology , Male , Middle Aged , Retrospective Studies , Socioeconomic Factors , Triglycerides/blood , United States , United States Department of Veterans AffairsABSTRACT
OBJECTIVES: To describe (1) the association between systolic blood pressure (SBP) and diastolic blood pressure (DBP) changes and weight change and (2) weight, SBP, and DBP changes attributable to the medication following a switch from one second-generation antipsychotic (SGA) to another. DESIGN: Retrospective, naturalistic, nonequivalent control group study. SETTING: United States between April 1, 2002, and September 30, 2002. PATIENTS: 1,425 U.S. Veterans Healthcare System enrollees with diagnoses of schizophrenia or schizoaffective disorders. INTERVENTION: Analysis of data from the Veterans Integrated System Technology Architecture. MAIN OUTCOME MEASURES: Veterans' weight, SBP, and DBP. RESULTS: Weight change and change in SBP (r = 0.19) and DBP (r = 0.15) were significant (P < 0.001), even after adjusting for obesity status (body mass index <30 or > or = 30 kg/m2). Veterans who were switched from olanzapine to another SGA lost weight (P < 0.001), whereas those switched from another SGA to olanzapine gained weight (P < 0.05). Weight change remained significant after controlling for preswitch obesity status (P < 0.001). Blood pressure was not associated with switch type after adjusting for preswitch obesity status. CONCLUSION: Monitoring and aggressively treating weight change is an evidence-based and relatively inexpensive strategy that primary care practitioners and psychiatrists can use in working in tandem toward reducing the already greater cardiovascular risk of patients with schizophrenia.
