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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...

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Autores principales: 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
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
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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.
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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
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