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Medical Sciences	75%

Selected Abstracts

Factor and item-response analysis DSM-IV criteria for abuse of and dependence on cannabis, cocaine, hallucinogens, sedatives, stimulants and opioids

ADDICTION, Issue 6 2007
Nathan A. Gillespie
ABSTRACT Aims This paper explored, in a population-based sample of males, the factorial structure of criteria for substance abuse and dependence, and compared qualitatively the performance of these criteria across drug categories using item,response theory (IRT). Design Marginal maximum likelihood was used to explore the factor structure of criteria within drug classes, and a two-parameter IRT model was used to determine how the difficulty and discrimination of individual criteria differ across drug classes. Participants A total of 4234 males born from 1940 to 1974 from the population-based Virginia Twin Registry were approached to participate. Measurements DSM-IV drug use, abuse and dependence criteria for cannabis, sedatives, stimulants, cocaine and opiates. Findings For each drug class, the pattern of endorsement of individual criteria for abuse and dependence, conditioned on initiation and use, could be best explained by a single factor. There were large differences in individual item performance across substances in terms of item difficulty and discrimination. Cocaine users were more likely to have encountered legal, social, physical and psychological consequences. Conclusions The DSM-IV abuse and dependence criteria, within each drug class, are not distinct but best described in terms of a single underlying continuum of risk. Because individual criteria performed very differently across substances in IRT analyses, the assumption that these items are measuring equivalent levels of severity or liability with the same discrimination across different substances is unsustainable. Compared to other drugs, cocaine usage is associated with more detrimental effects and negative consequences, whereas the effects of cannabis and hallucinogens appear to be less harmful. Implications for other drug classes are discussed. [source]

Practitioner Review: Psychopharmacology in children and adolescents with mental retardation

THE JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY AND ALLIED DISCIPLINES, Issue 9 2006
Benjamin L. Handen
Background:, The use of psychotropic medication to treat children and adults with mental retardation (MR) has a long and extensive history. There are no identified medications to address specific cognitive deficits among persons with MR. Instead, psychotropic medications are used to treat specific behavioral symptoms and/or psychiatric syndromes. The purpose of this review is to provide an overview of the recent literature regarding the use of psychotropic medications in this population, focusing primarily on children and adolescents. Methods:, The paper is divided into five general drug categories: psychostimulants, antipsychotics, antidepressants, mood stabilizers, and other drugs. Each section offers an overview of the research supporting the use of that class of medications in children and adolescents with MR as well as cautions regarding potential side effects. Finally, specific clinical recommendations are offered. Results:, The majority of studies in MR tend to be open trials, case reports, or controlled studies with small samples. The available data suggests that persons with MR respond to various psychotropic medications in ways similar to the typically developing population. However, rates of response tend to be poorer and the occurrence of side effects tends to be more frequent. Conclusions:, The use of psychotropic medications in children and adolescents with MR requires even greater monitoring and the use of lower doses and slower dosage increases than in the general population. [source]

Driving forces behind increasing cardiovascular drug utilization: a dynamic pharmacoepidemiological model

BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 6 2008
Helle Wallach Kildemoes
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT , Several studies indicate that switch to more expensive drugs and increasing treatment intensity, rather than population ageing have been responsible for rising drug expenditures during the 1990s. , Little is known about the driving forces behind the increasing treatment intensity with cardiovascular drugs. WHAT THIS STUDY ADDS , This study provides a new pharmacoepidemiological method to analyse drug utilization trends, applying dispensing data at the individual level. , The suggested semi-Markov model allows for quantification of the influence of changing incidence, discontinuation and user mortality on rising treatment prevalence. , Increasing treatment incidence was the main driver behind rising treatment prevalence for most cardiovascular drug categories. , Whereas declining discontinuation drove some of the growth, declining mortality among drug users had little influence. AIMS To investigate the driving forces behind increasing utilization of cardiovascular drugs. METHODS Using register data, all Danish residents as of 1 January 1996 were followed until 2006. Cohort members were censored at death or emigration. Cardiovascular drug utilization on the individual level was traced, applying registered out-of-hospital dispensing. The impact of population ageing on cardiovascular drug utilization was investigated using standardized intensities and prevalences. Based on a three-state (untreated, treated and dead) semi-Markov model, we explored to what extent increasing treatment prevalence was driven by changing incidence, discontinuation and mortality. Expected treatment prevalences were modelled, applying stratum-specific cohort prevalence in 1996 along with incidence, discontinuation and drug user mortality either throughout 1996,2004 or at fixed 1996 levels. RESULTS Treatment prevalence (ages ,20 years) with cardiovascular drugs increased by 39% during 1996,2005 from 192.4 to 256.9 per 1000 inhabitants (95% confidence interval 256.5, 257.3). Treatment intensity grew by 109% from 272 to 569 defined daily doses 1000,1 day,1. Population ,middle-ageing' accounted for 11.5 and 20.3%, respectively. Increasing treatment incidence was the main driver of the rising treatment prevalence in most drug categories. Declining discontinuation drove some of the growth, declining drug user mortality less. Even with fixed incidence in the model, treatment prevalence continued to increase. CONCLUSIONS Age-related increases in treatment intensity and prevalence, rather than population ageing, drove the increasing treatment intensity with cardiovascular drugs. Increasing treatment prevalence in subgroups was primarily caused by increasing incidence. Due to pharmacoepidemiological disequilibrium, treatment prevalence will continue to grow even with unchanged incidence. [source]