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1.
J Clin Pharm Ther ; 35(3): 365-70, 2010 Jun.
Article in English | MEDLINE | ID: mdl-20831538

ABSTRACT

DRESS-syndrome (Drug Rash with Eosinophilia and Systemic Symptoms) is a severe drug-induced hypersensitivity syndrome characterized by diffuse maculopapular rash, lymphadenopathy, multivisceral involvement, eosinophilia and atypical lymphocytes with a mortality rate of 10-40% (Seminars in Cutaneous Medicine and Surgery, 1, 250). It is described in adults treated with aromatic antiepileptics and less frequently with sulphonamides, and non-steroidal anti-inflammatory drugs (Clinics in Dermatology, 23, 171; Pediatrics, 108, 485). We report on an 11-year-old Caucasian boy hospitalized with a skin eruption, lymphadenopathy, acute hepatitis, renal tubular involvement, haematological abnormalities and human-herpevirus-6 reactivation, treated with sulfasalazine and naproxen for juvenile idiopathic arthritis (JIA). This is the first report in children with rheumatic disease and highlights the possibility of sulfasalazine and naproxen-induced-DRESS-syndrome in children with JIA.


Subject(s)
Drug Eruptions/etiology , Naproxen/adverse effects , Sulfasalazine/adverse effects , Anti-Inflammatory Agents, Non-Steroidal/adverse effects , Anti-Inflammatory Agents, Non-Steroidal/therapeutic use , Arthritis, Juvenile/drug therapy , Child , Drug Therapy, Combination , Herpesvirus 6, Human/isolation & purification , Humans , Male , Naproxen/therapeutic use , Roseolovirus Infections/virology , Sulfasalazine/therapeutic use , Syndrome , Virus Activation/drug effects
2.
Clin Pharmacol Ther ; 87(1): 74-86, 2010 Jan.
Article in English | MEDLINE | ID: mdl-19890254

ABSTRACT

The detection and reporting of serious adverse drug reactions (SADRs) have become important components of monitoring and evaluation activities performed in hospitals. We present the implementation of a prospective pharmacovigilance program based on automatic laboratory signals (ALSs) at a hospital. We also report the general findings after the first year of operation of the program, which involved ALSs that indicate various SADRs: agranulocytosis, aplastic anemia, liver injury, thrombocytopenia, hyponatremia, and rhabdomyolysis. The number of hospitalizations during the year was 54,525, and 1,732 patients experienced at least one ALS. The review of electronic medical records (EMRs) showed that no alternative cause (i.e., no non-SADR explanation) for the ALS was identified in 520 (30%) of the patients. After the individual ALS-patient evaluation, a total of 110 SADRs (6.35% of those identified after reviewing EMRs and 21.15% of those requiring individual patient evaluations) were identified. In other words, in order to identify a single SADR, we had to review the electronic records of approximately 16 patients and personally visit 5 patients.


Subject(s)
Adverse Drug Reaction Reporting Systems/standards , Hospitalization , Laboratories, Hospital/standards , Program Development/standards , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Drug-Related Side Effects and Adverse Reactions/diagnosis , Drug-Related Side Effects and Adverse Reactions/prevention & control , Female , Hospital Information Systems/standards , Humans , Infant , Infant, Newborn , Male , Medical Records Systems, Computerized/standards , Middle Aged , Program Development/methods , Prospective Studies , Young Adult
4.
Eur J Clin Pharmacol ; 64(8): 783-93, 2008 Aug.
Article in English | MEDLINE | ID: mdl-18493756

ABSTRACT

PURPOSE: Fulfilling bioequivalence criteria with highly variable drugs is difficult. The aim of this study was to compare the importance of sample size, intrasubject variability, and the point estimate of test and reference formulations with regard to meeting bioequivalence (BE) criteria [maximum observed plasma concentration (C(max)) and area under the concentration-time curve (AUC)]. METHODS: We compared 137 pairs of data from BE studies with a conventional number of subjects, approximately 31-32 volunteers, developed in the last 10 years. RESULTS: The third part of the studies failed to demonstrate BE, in part due to an unacceptable difference between the mean ratios (T/R) (18) but also due to high variability with small differences between formulations (17). Increasing the number of subjects is hard to justify, and expanding the confidence interval (CI) was insufficient for the most highly variable drugs. CONCLUSIONS: Therefore, for low-variable drugs, the difference between formulations was the cornerstone of the fulfillment of BE criteria, but for highly variable drugs, the intrasubject coefficient of variability (ICV) was decisive. Our proposal is that for highly variable drugs that fall outside BE 90% CI limits could result in BE in the absence of formulation effect and maximal differences between formulations below 20%.


Subject(s)
Pharmacokinetics , Randomized Controlled Trials as Topic/methods , Research Design , Area Under Curve , Clinical Trials, Phase I as Topic/methods , Confidence Intervals , Humans , Pharmaceutical Preparations/standards , Therapeutic Equivalency
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