Impact of patients' preexisting metabolic risk factors on the choice of antipsychotics by office-based physicians.

OBJECTIVE

This study examined the association between patients' preexisting metabolic risk factors and the physician's choice of antipsychotic agent based on its propensity to cause metabolic side effects.

METHODS

Data were from the 2005-2007 National Ambulatory Medical Care Survey (NAMCS); 1,898 office-based visits were identified during which prescriptions of antipsychotics were mentioned. Antipsychotics were classified as having high, medium, or low risk based on their propensity to cause metabolic abnormalities; a separate category for antipsychotic polypharmacy was specified for visits during which multiple antipsychotics were mentioned. Patients' preexisting metabolic risk was assessed by the presence of diabetes, hyperlipidemia, obesity, or hypertension. With controls for other patient and physician characteristics, multinomial logit regression models were applied to examine the association between the level of metabolic risk of the prescribed antipsychotic agents and the patient's baseline metabolic risk.

RESULTS

Compared with patients of normal weight or who were underweight according to body mass index, obese patients were less likely to receive antipsychotics with high risk (relative risk ratio [RRR]=.14, 95% confidence interval [CI]=.05-.37) or medium risk (RRR=.39, CI=.19-.78) of causing metabolic abnormalities. However, having preexisting metabolic conditions, such as diabetes, hyperlipidemia, or hypertension, had little effect on physicians' choice of antipsychotics with regard to metabolic risk properties.

CONCLUSIONS

Patients' weight appeared to be the key consideration in providers' decision to order or continue antipsychotics according to the associated metabolic risk. Further studies are warranted to understand the factors that determine the choice of antipsychotics for patients with preexisting metabolic conditions, such as diabetes, hyperlipidemia, or hypertension.