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Psychiatric diagnostic systems, such as The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), use expert consensus to determine diagnostic criteria sets and rules (DCSRs), rather than exploiting empirical techniques to arrive at optimal solutions (OS). Our project utilizes complete enumeration (i.e., generating all possible subsets of item combinations A and B with all possible thresholds, T) to evaluate all possible DCSRs given a set of relevant diagnostic data. This method yields the entire population distribution of diagnostic classifications (i.e., diagnosis of the disorder versus no diagnosis) produced by a set of dichotomous predictors (i.e., diagnostic criteria). Once unique sets are enumerated, optimization on some predefined correlate or predictor will maximally separate diagnostic groups on one or more, disorder-specific "outcome" criteria. We used this approach to illustrate how to create a common Substance Use Disorder (SUD) DCSR that is applicable to multiple substances. We demonstrate the utility of this approach with respect to alcohol use disorder and Cannabis Use Disorder (CUD) using DSM-5 criteria as input variables. The optimal SUD solution with a moderate or above severity grading included four criteria (i.e. 1) having a strong urge or craving for the substance (CR), 2) failure to fulfill major role obligations at work school or home (FF), 3) continued use of the substance despite social or interpersonal problems caused by the substance use (SI) and 4) physically hazardous use (HU)) with a diagnostic threshold of two. The derived DCSR was validated with known correlates of SUD and performed as well as DSM-5. Our findings illustrate the value of using an empirical approach to what is typically a subjective process of choosing criteria and algorithms that is prone to bias. The optimization of diagnostic criteria can reduce criteria set sizes, resulting in decreased research, clinician, and patient burden., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background: Alcohol withdrawal (AW) is an important clinical and diagnostic feature of alcohol dependence. AW has been found to predict a worsened course of illness in clinical samples, but in some community studies, AW endorsement rates are strikingly high, suggesting false-positive symptom assignments. Little research has examined the validity of the DSM-5 algorithm for AW, which requires either the presence of at least 2 of 8 subcriteria (i.e., autonomic hyperactivity, tremulousness, insomnia, nausea, hallucinations, psychomotor agitation, anxiety, and grand mal seizures), or, the use of alcohol to avoid or relieve these symptoms., Methods: We used item and algorithm analyses of data from waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (current drinkers, n = 26,946 at wave 1) to study the validity of DSM-5 AW as operationalized by the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV (AUDADIS-IV)., Results: A substantial proportion of individuals given the AW symptom reported only modest to moderate levels of alcohol use and alcohol problems. Alternative AW algorithms were superior to DSM-5 in terms of levels of alcohol use and alcohol problem severity among those with AW, group difference effect sizes, and predictive validity at a 3-year follow-up. The superior alternative algorithms included those that excluded the nausea subcriterion; required withdrawal-related distress or impairment; increased the AW subcriteria threshold from 2 to 3 items; and required tremulousness for AW symptom assignment., Conclusions: The results indicate that the DSM-5 definition of AW, as assessed by the AUDADIS-IV, has low specificity. This shortcoming can be addressed by making the algorithm for symptom assignment more stringent., (Copyright © 2018 by the Research Society on Alcoholism.)

Objective: To examine the National Institute on Alcohol Abuse and Alcoholism Youth Guide alcohol frequency screening thresholds when applied to Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) diagnostic criteria, and to describe alcohol use patterns and alcohol use disorder (AUD) characteristics in rural youth from primary care settings., Study Design: Adolescents (n = 1193; ages 12 through 20 years) visiting their primary care practitioner for outpatient visits in six rural primary care clinics were assessed prior to their practitioner visit. A tablet computer collected youth self-report of past-year frequency and quantity of alcohol use and DSM-5 AUD symptoms. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were determined., Results: For early adolescents (ages 12 through 14 years), 1.9% met DSM-5 criteria for past-year AUD and ≥3 days with alcohol use in the past year yielded a screen for DSM-5 with optimal psychometric properties (sensitivity: 89%; specificity: 95%; PPV: 37%; NPV: 100%). For middle adolescents (ages 15 through 17 years), 9.5% met DSM-5 AUD criteria, and ≥3 past year drinking days showed optimal screening results (sensitivity: 91%; specificity: 89%; PPV: 50%; NPV: 99%). For late adolescents (ages 18 through 20 years), 10.0% met DSM-5 AUD criteria, and ≥12 past year drinking days showed optimal screening results (sensitivity: 92%; specificity: 75%; PPV: 31%; NPV: 99%). The age stratified National Institute on Alcohol Abuse and Alcoholism frequency thresholds also produced effective results., Conclusion: In rural primary care clinics, 10% of youth over age 14 years had a past-year DSM-5 AUD. These at-risk adolescents can be identified with a single question on alcohol use frequency., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Aims: Compared to DSM-IV nicotine dependence, proposed DSM-5 nicotine use disorder (NUD) would lower the threshold from three to two symptoms, and increase the number of criteria used for diagnosis from seven to 11. The impact of the proposed changes on nicotine disorder prevalence and the concurrent validity of diagnostic criteria were examined., Design: Cross-sectional survey to compare DSM-IV and proposed DSM-5 algorithms., Setting and Participants: Adolescent (n = 179) and young adult (n = 292) past-year cigarette users recruited from addictions treatment., Measurements: Semi-structured clinical interview to evaluate DSM-IV nicotine dependence, and 10 of the 11 proposed DSM-5 NUD criteria; 30-day time-line follow-back; and the Fagerström Test for Nicotine Dependence (FTND)., Findings: Prevalence of proposed DSM-5 NUD (two-symptom threshold) was much higher (adolescents: 68.7%, young adults: 86.0%) than DSM-IV nicotine dependence (33.0% and 59.6%, respectively), although prevalence of DSM-5 severe NUD (four-symptom threshold) was similar to DSM-IV nicotine dependence. Concurrent validity analyses in both samples indicated consistent support for DSM-5 severe NUD diagnosis (four symptoms) but not for the moderate NUD (two symptoms) diagnosis, which had modest relations with only FTND score. IRT analyses indicated strong support for the new craving item, but not for the proposed interpersonal problems and hazardous use items., Conclusions: The proposed DSM-5 nicotine use disorder criteria have substantial limitations when applied to adolescents and young adults, and appear to have low concurrent validity., (© 2011 The Authors, Addiction © 2011 Society for the Study of Addiction.)

This article reviews literature on the validity and performance characteristics of the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) diagnostic criteria for substance use disorders (SUDs) and recommends changes in these criteria that should be considered for the next edition of the DSM (DSM-V). Substantial data indicate that DSM-IV substance abuse and substance dependence are not distinct categories and that SUD criteria are best modeled as reflecting a unidimensional continuum of substance-problem severity. The conceptually and empirically problematic substance abuse diagnosis should be abandoned in the DSM-V, with substance dependence defined by a single set of criteria. Data also indicate that various individual SUD criteria should be revised, dropped, or considered for inclusion in the DSM-V. The DSM-V should provide a framework that allows the integration of categorical and dimensional approaches to diagnosis. Important areas for further research are noted., (Copyright (c) 2008 APA, all rights reserved.)

Item response theory (IRT) has advantages over classical test theory in evaluating diagnostic criteria. In this study, the authors used IRT to characterize the psychometric properties of Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV; American Psychiatric Association, 1994) alcohol and cannabis use disorder symptoms among 472 clinical adolescents. For both substances, DSM-IV symptoms fit a model specifying a unidimensional latent trait of problem severity. Threshold (severity) parameters did not distinguish abuse and dependence symptoms. Abuse symptoms of legal problems and hazardous use, and dependence symptoms of tolerance, unsuccessful attempts to quit, and physical-psychological problems, showed relatively poor discrimination of problem severity. There were gender differences in thresholds for hazardous use, legal problems, and physical-psychological problems. The results illustrate limitations of DSM-IV criteria for alcohol and cannabis use disorders when applied to adolescents. The development process for the fifth edition (DSM-V) should be informed by statistical models such as those used in this study., ((c) 2006 APA, all rights reserved.)

This study examined the latent class structure of Diagnostic and Statistical Manual of Mental Disorders (text rev.; DSM-IV; American Psychiatric Association, 2000) symptoms used to diagnose cannabis, hallucinogen, cocaine, and opiate disorders among 501 adolescents recruited from addictions treatment. Latent class results were compared with the DSM-IV categories of abuse and dependence, and latent transition analysis (LTA) was used to examine changes in symptom severity over a 1-year follow-up. Although 2- and 3-class solutions provided the best fit to the data (2-class: hallucinogens, cocaine, opioids; 3-class: cannabis), 3-class solutions provided more substantive results and were emphasized in analyses. There was good agreement between latent classes and DSM-IV diagnosis. LTA suggested greater likelihood of transitioning to a less severe class at 1 year for all 4 drugs; in- and outpatients differed in pattern of change.

Objective: DSM-IV alcohol dependence criteria of tolerance to alcohol and drinking more or longer than intended have relatively high prevalence among youth, and may be vulnerable to false positive symptom assignments that degrade diagnostic validity. We conducted a methodological study of DSM-IV symptom queries used to assess alcohol tolerance and impaired control over drinking to determine potential sources of measurement error., Method: Adolescents recruited from addictions treatment participated in either a focus group (n = 9) or an individual interview (n = 41) to provide data on their interpretation of selected items contained in a semi-structured diagnostic interview., Results: When alcohol tolerance is operationally defined as a change in quantity to obtain the same effect, large individual differences in the change in quantity that represents a high level of tolerance limit the utility of this operational definition as an indicator of dependence. The symptom "drinking more or longer than intended", includes the embedded assumption that a limit on use had been set. Teens, however, typically intended to become intoxicated, rather than to keep to a limit., Conclusions: Adolescents' understanding of symptom queries suggests how validity of DSM-IV alcohol symptoms and diagnoses can be improved through greater attention to developmental considerations affecting assessment.

Item response theory (IRT) is supplanting classical test theory as the basis for measures development. This study demonstrated the utility of IRT for evaluating DSM-IV diagnostic criteria. Data on alcohol, cannabis, and cocaine symptoms from 372 adult clinical participants interviewed with the Composite International Diagnostic Interview--Expanded Substance Abuse Module (CIDI-SAM) were analyzed with Mplus (B. Muthen & L. Muthen, 1998) and MULTILOG (D. Thissen, 1991) software. Tolerance and legal problems criteria were dropped because of poor fit with a unidimensional model. Item response curves, test information curves, and testing of variously constrained models suggested that DSM-IV criteria in the CIDI-SAM discriminate between only impaired and less impaired cases and may not be useful to scale case severity. IRT can be used to study the construct validity of DSM-IV diagnoses and to identify diagnostic criteria with poor performance.

This article presents the proceedings of a symposium at the 2002 RSA Meeting in San Francisco, California. Deborah S. Hasin organized the symposium and co-chaired it with Marc Schuckit. The purpose of the symposium was to provide an overview of what is known about the validity of DSM-IV and ICD-10 alcohol dependence and abuse, with a focus on work done since 1994. Presentations included: (1) Validity of DSM-III-R alcohol dependence in adolescents, by Christopher S. Martin; (2) Reliability and validity of DSM and ICD formulations of alcohol use disorders: findings from epidemiology, by Bridget F. Grant; (3) Validity and reliability of the alcohol-dependence phenotype in the context of genetic studies, by Kathleen K. Bucholz; and (4) DSM-IV and beyond: uniting the clinical utility of categories with the precision of dimensions, by John E. Helzer. The findings supported the validity of DSM-IV alcohol dependence across numerous study designs and samples, suggested some value in a dimensional dependence measure, and raised questions about the validity of the diagnosis of alcohol abuse as currently defined. Marc Schuckit, as discussant for the symposium, placed the issues in perspective for the upcoming DSM-V.

The diagnostic criteria for alcohol use disorders (AUDs) (i.e., alcohol abuse and alcohol dependence) as defined in the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) were developed largely from research and clinical experience with adults. Little is known about the validity of these criteria when applied to adolescents. Recent epidemiological and clinical studies of AUDs and their symptoms among adolescents have indicated that the DSM-IV criteria have significant limitations when applied to this age group. Diagnostic interviews and screening tools for adolescent AUDs are discussed. Numerous instruments are available that have shown moderate-to-high reliability and validity in assessing AUDs among adolescents.