Prevalence, predictors and outcomes of potential drug-drug interactions in left ventricular failure: considerable factors for quality use of medicines

Hospitalized patients with left ventricular failure (LVF) are at high risk for potential drug-drug interactions (pDDIs) and its related adverse effects owing to multiple risk factors such as old age, comorbidities and polypharmacy. This cross-sectional study conducted in two tertiary care hospitals aim to identify frequency, levels and predictors of pDDIs in LVF patients. Data about patients' demographic, hospital stay, medication therapy, sign/symptoms and laboratory test results were collected for 385 patients with LVF. Micromedex Drug-Reax® was used to screen patients' medication profiles for pDDIs. Overall prevalence and severity-wise prevalence of pDDIs were identified. Chi-square test was performed for comparative analysis of various variables. Logistic regression was applied to determine the odds-ratios (OR) for predictors of pDDIs. The prevalence of pDDIs was 96.4% (n=371). Overall 335 drug-interacting pairs were detected, which were presented in a total of 2870 pDDIs. Majority of pDDIs were of major- (48.9%) and moderate-severity (47.5%). Logistic regression analysis shows significant association of >6 all types of pDDIs with >12 drugs as compared with <8 drugs (OR=16.5; p=<0.001). Likewise, there was a significant association of >4 major-pDDIs with men as compared with female (OR=1.9; p=0.007) and >12 drugs as compared with <8 drugs (OR=10.9; p=<0.001). Hypotension (n=57), impaired renal function (23) and increased blood pressure (22) were the most frequent adverse outcomes associated with pDDIs. This study shows high prevalence of pDDIs in LVF patients. Majority of pDDIs were of major- and moderate-severity. Male patients and those prescribed greater number of medicines were more exposed to major-pDDIs

Metabolic dysregulation in early onset psychiatric disorder before and after exposure to antipsychotic drugs

Antipsychotic Drugs (APDs) are being widely prescribed to treat various disorders, including schizophrenia and bipolar disorder; however, abnormal glucose metabolism and weight gain have been reported with Atypical Anti-Psychotic drugs (AAPDs) that can lead to insulin-resistance and type 2 diabetes mellitus. The study was designed to assess various biochemical parameters including insulin and blood sugar before and after exposure to APDs in order to exclude the involvement of psychiatric disorders and certain other factors in metabolic dysregulations. Fifty seven APDs-naïve patients with first episode psychosis were divided into six groups who received olanzapine, quetiapine, risperidone, aripiprazole, haloperidol or combination of olanzapine with escitalopram and haloperidol. The serum samples were taken before the intake of the first dose and then on follow-up. Decrease in the level of elevated insulin and glucose was observed post-treatment in some patients, while others were observed whose insulin and glucose levels increased post-treatment, yet some patients did not show any disturbance in the insulin and glucose levels. It is concluded that psychiatric disorders by itself, narcotics, cigarette smoking and use of oral snuff may be also be implicated in metabolic dysregulations. The effects of APDs on insulin and glucose in healthy volunteers might be different than in patients with psychiatric disorders.