Cargando…
Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder
IMPORTANCE: Current Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) diagnoses of substance use disorders rely on criterion count–based approaches, disregarding severity grading indexed by individual criteria. OBJECTIVE: To examine correlates of alcohol use disorder (AUD...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565602/ https://www.ncbi.nlm.nih.gov/pubmed/37815828 http://dx.doi.org/10.1001/jamanetworkopen.2023.37192 |
_version_ | 1785118729568256000 |
---|---|
author | Miller, Alex P. Kuo, Sally I-Chun Johnson, Emma C. Tillman, Rebecca Brislin, Sarah J. Dick, Danielle M. Kamarajan, Chella Kinreich, Sivan Kramer, John McCutcheon, Vivia V. Plawecki, Martin H. Porjesz, Bernice Schuckit, Marc A. Salvatore, Jessica E. Edenberg, Howard J. Bucholz, Kathleen K. Meyers, Jaquelyn L. Agrawal, Arpana |
author_facet | Miller, Alex P. Kuo, Sally I-Chun Johnson, Emma C. Tillman, Rebecca Brislin, Sarah J. Dick, Danielle M. Kamarajan, Chella Kinreich, Sivan Kramer, John McCutcheon, Vivia V. Plawecki, Martin H. Porjesz, Bernice Schuckit, Marc A. Salvatore, Jessica E. Edenberg, Howard J. Bucholz, Kathleen K. Meyers, Jaquelyn L. Agrawal, Arpana |
author_sort | Miller, Alex P. |
collection | PubMed |
description | IMPORTANCE: Current Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) diagnoses of substance use disorders rely on criterion count–based approaches, disregarding severity grading indexed by individual criteria. OBJECTIVE: To examine correlates of alcohol use disorder (AUD) across count-based severity groups (ie, mild, moderate, mild-to-moderate, severe), identify specific diagnostic criteria indicative of greater severity, and evaluate whether specific criteria within mild-to-moderate AUD differentiate across relevant correlates and manifest in greater hazards of severe AUD development. DESIGN, SETTING, AND PARTICIPANTS: This cohort study involved 2 cohorts from the family-based Collaborative Study on the Genetics of Alcoholism (COGA) with 7 sites across the United States: cross-sectional (assessed 1991-2005) and longitudinal (assessed 2004-2019). Statistical analyses were conducted from December 2022 to June 2023. MAIN OUTCOMES AND MEASURES: Sociodemographic, alcohol-related, psychiatric comorbidity, brain electroencephalography (EEG), and AUD polygenic score measures as correlates of DSM-5 AUD levels (ie, mild, moderate, severe) and criterion severity–defined mild-to-moderate AUD diagnostic groups (ie, low-risk vs high-risk mild-to-moderate). RESULTS: A total of 13 110 individuals from the cross-sectional COGA cohort (mean [SD] age, 37.8 [14.2] years) and 2818 individuals from the longitudinal COGA cohort (mean baseline [SD] age, 16.1 [3.2] years) were included. Associations with alcohol-related, psychiatric, EEG, and AUD polygenic score measures reinforced the role of increasing criterion counts as indexing severity. Yet within mild-to-moderate AUD (2-5 criteria), the presence of specific high-risk criteria (eg, withdrawal) identified a group reporting heavier drinking and greater psychiatric comorbidity even after accounting for criterion count differences. In longitudinal analyses, prior mild-to-moderate AUD characterized by endorsement of at least 1 high-risk criterion was associated with more accelerated progression to severe AUD (adjusted hazard ratio [aHR], 11.62; 95% CI, 7.54-17.92) compared with prior mild-to-moderate AUD without endorsement of high-risk criteria (aHR, 5.64; 95% CI, 3.28-9.70), independent of criterion count. CONCLUSIONS AND RELEVANCE: In this cohort study of a combined 15 928 individuals, findings suggested that simple count-based AUD diagnostic approaches to estimating severe AUD vulnerability, which ignore heterogeneity among criteria, may be improved by emphasizing specific high-risk criteria. Such emphasis may allow better focus on individuals at the greatest risk and improve understanding of the development of AUD. |
format | Online Article Text |
id | pubmed-10565602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-105656022023-10-12 Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder Miller, Alex P. Kuo, Sally I-Chun Johnson, Emma C. Tillman, Rebecca Brislin, Sarah J. Dick, Danielle M. Kamarajan, Chella Kinreich, Sivan Kramer, John McCutcheon, Vivia V. Plawecki, Martin H. Porjesz, Bernice Schuckit, Marc A. Salvatore, Jessica E. Edenberg, Howard J. Bucholz, Kathleen K. Meyers, Jaquelyn L. Agrawal, Arpana JAMA Netw Open Original Investigation IMPORTANCE: Current Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) diagnoses of substance use disorders rely on criterion count–based approaches, disregarding severity grading indexed by individual criteria. OBJECTIVE: To examine correlates of alcohol use disorder (AUD) across count-based severity groups (ie, mild, moderate, mild-to-moderate, severe), identify specific diagnostic criteria indicative of greater severity, and evaluate whether specific criteria within mild-to-moderate AUD differentiate across relevant correlates and manifest in greater hazards of severe AUD development. DESIGN, SETTING, AND PARTICIPANTS: This cohort study involved 2 cohorts from the family-based Collaborative Study on the Genetics of Alcoholism (COGA) with 7 sites across the United States: cross-sectional (assessed 1991-2005) and longitudinal (assessed 2004-2019). Statistical analyses were conducted from December 2022 to June 2023. MAIN OUTCOMES AND MEASURES: Sociodemographic, alcohol-related, psychiatric comorbidity, brain electroencephalography (EEG), and AUD polygenic score measures as correlates of DSM-5 AUD levels (ie, mild, moderate, severe) and criterion severity–defined mild-to-moderate AUD diagnostic groups (ie, low-risk vs high-risk mild-to-moderate). RESULTS: A total of 13 110 individuals from the cross-sectional COGA cohort (mean [SD] age, 37.8 [14.2] years) and 2818 individuals from the longitudinal COGA cohort (mean baseline [SD] age, 16.1 [3.2] years) were included. Associations with alcohol-related, psychiatric, EEG, and AUD polygenic score measures reinforced the role of increasing criterion counts as indexing severity. Yet within mild-to-moderate AUD (2-5 criteria), the presence of specific high-risk criteria (eg, withdrawal) identified a group reporting heavier drinking and greater psychiatric comorbidity even after accounting for criterion count differences. In longitudinal analyses, prior mild-to-moderate AUD characterized by endorsement of at least 1 high-risk criterion was associated with more accelerated progression to severe AUD (adjusted hazard ratio [aHR], 11.62; 95% CI, 7.54-17.92) compared with prior mild-to-moderate AUD without endorsement of high-risk criteria (aHR, 5.64; 95% CI, 3.28-9.70), independent of criterion count. CONCLUSIONS AND RELEVANCE: In this cohort study of a combined 15 928 individuals, findings suggested that simple count-based AUD diagnostic approaches to estimating severe AUD vulnerability, which ignore heterogeneity among criteria, may be improved by emphasizing specific high-risk criteria. Such emphasis may allow better focus on individuals at the greatest risk and improve understanding of the development of AUD. American Medical Association 2023-10-10 /pmc/articles/PMC10565602/ /pubmed/37815828 http://dx.doi.org/10.1001/jamanetworkopen.2023.37192 Text en Copyright 2023 Miller AP et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Miller, Alex P. Kuo, Sally I-Chun Johnson, Emma C. Tillman, Rebecca Brislin, Sarah J. Dick, Danielle M. Kamarajan, Chella Kinreich, Sivan Kramer, John McCutcheon, Vivia V. Plawecki, Martin H. Porjesz, Bernice Schuckit, Marc A. Salvatore, Jessica E. Edenberg, Howard J. Bucholz, Kathleen K. Meyers, Jaquelyn L. Agrawal, Arpana Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder |
title | Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder |
title_full | Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder |
title_fullStr | Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder |
title_full_unstemmed | Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder |
title_short | Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder |
title_sort | diagnostic criteria for identifying individuals at high risk of progression from mild or moderate to severe alcohol use disorder |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565602/ https://www.ncbi.nlm.nih.gov/pubmed/37815828 http://dx.doi.org/10.1001/jamanetworkopen.2023.37192 |
work_keys_str_mv | AT milleralexp diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT kuosallyichun diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT johnsonemmac diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT tillmanrebecca diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT brislinsarahj diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT dickdaniellem diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT kamarajanchella diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT kinreichsivan diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT kramerjohn diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT mccutcheonviviav diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT plaweckimartinh diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT porjeszbernice diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT schuckitmarca diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT salvatorejessicae diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT edenberghowardj diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT bucholzkathleenk diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT meyersjaquelynl diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder AT agrawalarpana diagnosticcriteriaforidentifyingindividualsathighriskofprogressionfrommildormoderatetoseverealcoholusedisorder |