title: Metabolic risk status and second-generation antipsychotic drug selection: a retrospective study of commercially insured patients.
abstract: BACKGROUND
  Routine metabolic screening and consideration of patient metabolic status in the choice of a second-generation antipsychotic (SGA) medication are recommended. This study evaluated the association between abnormal blood glucose and lipid values and SGA prescribing patterns.
  
  
  METHODS
  A retrospective cohort study using administrative data from 2 managed care plans in the United States evaluated 7904 adults initiating SGA therapy between 2001 and 2004. Baseline serum glucose, total cholesterol, and triglyceride values were available for 989 patients (12.5%), and follow-up assessments were done in 699 patients (8.8%). Abnormal values were defined as the following: total cholesterol, 200 mg/dL or higher; triglycerides, 200 mg/dL or higher; and glucose, 126 mg/dL or higher. The likelihood of abnormal laboratory values being associated with selection of a lower metabolic risk SGA drug (aripiprazole or ziprasidone) and with switching decisions was assessed using multivariate logistic regression models.
  
  
  RESULTS
  Thirteen percent of the patients had glucose and lipid tests within 6 months of starting SGA therapy. The likelihood of starting a patient on an SGA drug with lower metabolic risk (ziprasidone: odds ratio, 3.26; 95% confidence interval, 1.25-8.47; aripiprazole: odds ratio, 2.13; 95% confidence interval, 0.77-5.88) was higher if the patient had elevated glucose values but was not associated with elevated cholesterol or triglyceride values or if the patient had preexisting diabetes or dyslipidemia. Abnormal glucose and lipid values were not associated with switching SGA medications in the first 6 months of therapy. Among patients who did switch SGA medications, elevated glucose and lipid values were not associated with a greater likelihood of switching to aripiprazole or ziprasidone.
  
  
  CONCLUSIONS
  Low rates of recommended monitoring were observed. Abnormal metabolic parameters among those who were tested were not consistently associated with the selection of an SGA drug with lower metabolic risk.
authors.affiliation: Department of Pediatrics, School of Medicine, Management and Policy Colorado School of Public Health, University of Colorado Denver, Aurora, CO 80045-0508, USA. elaine.morrato@uchsc.edu
authors.forename: Elaine H
authors.initials: EH
authors.lastname: Morrato
authors.forename: Brian
authors.initials: B
authors.lastname: Cuffel
authors.forename: John W
authors.initials: JW
authors.lastname: Newcomer
authors.forename: Ilise
authors.initials: I
authors.lastname: Lombardo
authors.forename: Siddhesh
authors.initials: S
authors.lastname: Kamat
authors.forename: John
authors.initials: J
authors.lastname: Barron
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014150:Antipsychotic Agents / Q000009:adverse effects* / Q000627:therapeutic use*; D001786:Blood Glucose / Q000378:metabolism; D002784:Cholesterol / Q000097:blood; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008297:Male; D008329:Managed Care Programs; D001523:Mental Disorders / Q000097:blood / Q000188:drug therapy*; D024821:Metabolic Syndrome / Q000097:blood / Q000139:chemically induced*; D008875:Middle Aged; D008991:Monitoring, Physiologic; D010818:Practice Patterns, Physicians'; D012189:Retrospective Studies; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood; D014481:United States; D055815:Young Adult
chemical_list: D014150:Antipsychotic Agents; D001786:Blood Glucose; D014280:Triglycerides; D002784:Cholesterol