Prevalence and associated factors of medication nonadherence among Thai patients with systemic lupus erythematosus.

BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic disease requiring complex treatment strategies to prevent disease flare ups and to reduce hospitalizations. Medication adherence is the main concern for improving patient outcomes. Although various studies on medication nonadherence for SLE have been conducted, no definite conclusions have been reached. OBJECTIVE: To quantify the prevalence of medication nonadherence among patients with SLE and to analyse the associated factors. METHODS: A prospective, self-reported questionnaire study was conducted in Songklanagarind Hospital. Patient aged 18 years or older, who had an established diagnosis of SLE, and who had been receiving medications for at least 6 months, were included in the study. Medication adherence was assessed through a visual analogue scale (VAS) and through the medication-taking behaviour measure for Thai patients (MTB-Thai) scale. RESULTS: One hundred and seventy-two SLE patients were enrolled in the study. Most SLE patients were young to middle aged (56.40%) and had no clinical disease activity (67.4%), as assessed by a clinical SLEDAI score. Nonadherence rates were 32% and 25.3% by VAS and the MTB-Thai scale, respectively. Patients aged 55 years or older, who used the universal coverage of health care system, who used multiple medications (>10 pills/day), and who had a good attitude towards the disease were associated with a low risk of nonadherence. CONCLUSION: Up to 25% SLE patients poorly adhered to their prescriptions. Age, reimbursement scheme, pill number, and attitude towards SLE were associated with nonadherence in our patients with SLE.

Case report of clindamycin graded challenge in an AIDS patient allergic to clindamycin.

The aim of this study was to report the success of a clindamycin graded challenge. The patient was a 39-year-old human immunodeficiency virus-infected male with toxoplasmic encephalitis (TE) with a history of trimethoprim/sulfamethoxazole (TMP/SMX) and clindamycin allergy. He developed a reaction during TMP/SMX desensitization. Following the reaction, a graded challenge with clindamycin was performed in this study, and he became tolerant to clindamycin. No adverse drug reactions developed during the graded challenge. He successfully continued suppressive therapy with no further reactions or recurrences.

Prediction Of Serum Digoxin Concentration Using Estimated Glomerular Filtration Rate In Thai Population.

PURPOSE: Serum digoxin concentration (SDC) monitoring may be unavailable in some healthcare settings. Predicted SDC comes into play in the efficacy and toxicity monitoring of digoxin. Renal function is the important parameter for predicting SDC. This study was conducted to compare measured and predicted SDC when using creatinine clearance (CrCl) from Cockcroft-Gault (CG) equation and estimated glomerular filtration rate (eGFR) calculated from CKD-Epidemiology Collaboration (CKD-EPI), re-expressed Modification of Diet in Renal Disease (Re-MDRD4), Thai-MDRD4, and Thai-eGFR equations in Sheiner's and Konishi's pharmacokinetic models. PATIENTS AND METHODS: In this retrospective study, patients with cardiovascular disease with a steady-state of SDC within 0.5-2.0 mcg/L were enrolled. CrCl and studied eGFR adjusted for body surface area (BSA) were used in the models to determine the predicted SDC. The discrepancies of the measured and the predicted SDC were analyzed and compared. RESULTS: One hundred and twenty-four patients ranging in age from 22 to 88 years (median 60 years, IQR 50.2, 69.2) were studied. Their serum creatinine ranged from 0.40 to 1.80 mg/dL (median 0.90 mg/dL, IQR 0.79, 1.10). The mean±SD of measured SDC was 1.12±0.34 mcg/L. In the Sheiner's model, the mean predicted SDC was calculated by using the CG and the BSA adjusted CKD-EPI equations and was not different when compared with the measured levels (1.10±0.36 mcg/L (p=0.669) and 1.08±0.42 mcg/L (p=0.374), respectively). The CG, CKD-EPI, and Re-MDRD4 equations were a better fit for patients with creatinine ≥0.9 mg/dL for prediction with minimal errors. In the Konishi's model, the predicted SDC using the CG and the studied eGFR equation was lower than the measured SDC (p<0.05). CONCLUSION: In Sheiner's model, the CG and the BSA adjusted CKD-EPI equations should be used for predicting SDC, especially in patients with serum creatinine ≥0.9 mg/dL. The other studied eGFRs underestimated SDC in both Sheiner's and Konishi's model.