Antimicrobial prescription patterns for common acute infections in some rural & urban health facilities of India.

BACKGROUND & OBJECTIVES: Irrational use of antimicrobials is a key factor behind rapidly spreading antimicrobial resistance in microorganisms. This study was undertaken to determine the rate and pattern of antimicrobial prescribing in patients with uncomplicated acute respiratory infections, fever and diarrhoea attending a few rural and urban health settings. METHODS: The study was done in primary and secondary health care facilities of public/government and private settings at four sites in India. Patients with fever, cough, diarrhoea or ear, nose or throat infections of < 7 days were included. Pregnant women, lactating mothers, infants, seriously ill patients and patients with bloody diarrhoea or purulent nasal or ear discharge were excluded. RESULTS: Overall antimicrobial prescription rate was 69.4 per cent (95% CI 67.1, 71.7). Wide variation was observed (Thiruvananthapuram 47.6%, Lucknow 81.8%, Chennai 73.1% and Vellore 76.5%). Physicians practicing in rural and public/government settings prescribed antimicrobials more frequently than those in urban and private settings (83.8, 81.9, 68.3 and 68.2% respectively). Antimicrobials were more frequently prescribed for patients presenting with fever. Highest rate was noticed for children aged between 6 and 18 yr. Patients of the high-income group received antimicrobials more frequently (72.7%). In both public/ government and private settings, for patients who purchased medicines, the rate was higher (82.4 and 68.9% respectively), vs. those receiving free medicines (70.2 and 46.2% respectively). Two third of all antimicrobials prescribed were penicillins and co-trimoxazole, and > 40 per cent of prescriptions from private sector were quinolones and cephalosporins. INTERPRETATION & CONCLUSIONS: Our findings showed that prescription of antimicrobials for acute respiratory infections and diarrhoea was extremely common and warrants interventional strategies.

Acenocoumarol and phenytoin toxicity in the presence of CYP2C9 mutation.

This case report describes a rare interaction between therapeutic doses of phenytoin and acenocoumarol resulting in both acute phenytoin toxicity and increased international normalized ratio (INR). Interactions between these drugs are due to the pharmacokinetics and the common metabolising pathway by hepatic cytochrome P450 isoenzyme-CYP2C9. Our patient was detected to be homozygous for CYP2C9*3 by PCR-RFLP analysis resulting in markedly decreased metabolism of both the drugs. Given that these two drugs are often given concomitantly in the medical out patient department, and that CYP2C9 polymorphisms are not uncommon, clinicians should be aware of this interaction and suspect this in patients with toxicity to these drugs.

A six-hour extrapolated sampling strategy for monitoring mycophenolic acid in renal transplant patients in the Indian subcontinent.

BACKGROUND: Therapeutic drug monitoring for mycophenolic acid (MPA) is increasingly being advocated. The present therapeutic range relates to the 12-hour area under the serum concentration time profile (AUC).However, this is a cumbersome, tedious, cost restricting procedure. Is it possible to reduce this sampling period? AIM: To compare the AUC from a reduced sampling strategy with the full 12-hour profile for MPA. SETTINGS AND DESIGN: Clinical Pharmacology Unit of a tertiary care hospital in South India. Retrospective, paired data. MATERIALS AND METHODS: Thirty-four 12-hour profiles from post-renal transplant patients on Cellcept were evaluated. Profiles were grouped according to steroid and immunosuppressant co-medication and the time after transplant. MPA was estimated by high performance liquid chromatography with UV detection. From the 12-hour profiles the AUC up to only six hours was calculated by the trapezoidal rule and a correction factor applied. These two AUCs were then compared. STATISTICAL ANALYSIS: Linear regression, intra-class correlations (ICC) and a two-tailed paired t-test were applied to the data. RESULTS: Comparing the 12-hour AUC with the paired 6-hour extrapolated AUC, the ICC and linear regression(r2) were very good for all three groups. No statistical difference was found by a two-tailed paired t-test. No bias was seen with a Bland Altman plot or by calculation. CONCLUSION: For patients on Cellcept with prednisolone +/- cyclosporine the 6-hour corrected is an accurate measure of the full 12-hour AUC.