The estimation of the probability that a drug caused an adverse clinical event is usually based on clinical judgment. Lack of a method for establishing causality generates large between‐raters and within‐raters variability in assessment. Using the conventional categories and definitions of definite, probable, possible, and doubtful adverse drug reactions (ADRs), the between‐raters agreement of two physicians and four pharmacists who independently assessed 63 randomly selected alleged ADRs was 38% to 63%, kappa (k, a chance‐corrected index of agreement) varied from 0.21 to 0.40, and the intraclass correlation coefficient of reliability (R[est]) was 0.49. Six (testing) and 22 wk (retesting) later the same observers independently reanalyzed the 63 cases by assigning a weighted score (ADR probability scale) to each of the components that must be considered in establishing causal associations between drug(s) and adverse events (e.g., temporal sequence). The cases were randomized to minimize the influence of learning. The event was assigned a probability category from the total score. The between‐raters reliability (range: percent agreement = 83% to 92%; κ = 0.69 to 0.86; r = 0.91 to 0.95; R(est) = 0.92) and within‐raters reliability (range: percent agreement = 80% to 97%; κ = 0.64 to 0.95; r = 0.91 to 0.98) improved (p < 0.001). The between‐raters reliability was maintained on retesting (range: r = 0.84 to 0.94; R(est) = 0.87). The between‐raters reliability of three attending physicians who independently assessed 28 other prospectively collected cases of alleged ADRs was very high (range: r = 0.76 to 0.87; R(est) = 0.80). It was also shown that the ADR probability scale has consensual, content, and concurrent validity. This systematic method offers a sensitive way to monitor ADRs and may be applicable to postmarketing drug surveillance. Clinical Pharmacology and Therapeutics (1981) 30, 239–245; doi:
SNRIs had the highest efficacy remission rates (statistically significant for inpatients and outpatients), and the lowest overall dropout rates, suggesting clinical superiority in treating major depression.
Chemical investigation of a propolis sample collected in Honduras has led to the isolation of the new (E,Z)-cinnamyl cinnamate (2) together with 14 known compounds: 6 cinnamic ester derivatives, 2 flavanones, 1 chalcone, 2 triterpenes, and 3 aromatic acids. Structural determination was accomplished by spectroscopic analysis, particularly two-dimensional (2D) nuclear magnetic resonance (NMR) and electrospray ionization-tandem mass spectrometry (ESI-MS/MS) techniques. Futhermore, we checked the ability of the propolis extract and the most representative compounds of each class (1, 5, 8, and 10) to inhibit the activity of Pdr5p, a protein responsible for a multidrug resistance phenotype in yeast. The present study appears to be the first report on Honduras propolis. Isolated cinnamic ester derivatives indicated the possible relation between Honduras propolis and the genus Liquidambar .
Benzodiazepines are the most prescribed psychotropic drugs in the world. Comparative international data on benzodiazepine use, specifically among developed and developing countries, are unavailable. To determine the different patterns of benzodiazepine use in two representative countries, use of benzodiazepines in Chile (a developing country) and Canada (a developed country) was undertaken. Wholesale data as provided by the Intercontinental Medical statistics and drug import data were used as databases. Data on trends of benzodiazepine use was determined for 5 years using the methodology recommended by the WHO for drug use research, the defined daily dose/1000 inhabitants/day. Total benzodiazepine use was similar in both countries, but Canadian use had increased slowly. Patterns of use, however, differ widely among the two countries. A linear increase of rapidly eliminated benzodiazepines was observed in Canada, whereas the reverse occurs in Chile: the slowly eliminated benzodiazepines are the ones that have increased use. Hypnotic benzodiazepines are used twice as frequently in Canada than in Chile. Striking differences in the use of individual benzodiazepines are observed. Differences in healthcare systems determine wide differences in the way these drugs are prescribed. Demographic characteristics of the two countries also may account for the differences in benzodiazepine use. The authors conclude that, although total benzodiazepine consumption is similar in the two countries, patterns of benzodiazepine use vary widely. The different patterns of use may determine differences in the morbidity rates associated with the use of these drugs.
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