Literature DB >> 32769772

Sex-specific Associations of Alcohol Withdrawal in Patients Admitted for the Treatment of Alcohol Use Disorder.

Arantza Sanvisens1, Paola Zuluaga, Antoni Short, Gabriel Rubio, Antoni Gual, Marta Torrens, Daniel Fuster, Ferran Bolao, Fernando Rodríguez de Fonseca, Roberto Muga.   

Abstract

OBJECTIVES: There are sex differences in the pattern of alcohol consumption and in the complications of alcohol use disorder (AUD). We aimed to identify sex-specific differences in the factors associated with alcohol withdrawal syndrome (AWS) among patients that requested a first treatment for AUD.
METHODS: We enrolled 313 patients (75% men) with a Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) AUD diagnosis that started treatment between 2014 and 2016. We collected socio-demographics, the type and amount of alcohol and other substances consumed, and clinical and laboratory parameters. According to Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) AUD criteria, AWS occurred when patients experienced 2 or more clinical signs/symptoms and/or consumed alcohol to relieve symptoms. Logistic regression models were used to determine factors associated with AWS according to sex.
RESULTS: The median age of participants was 50 years (interquartile range [IQR]: 43-54 years). The median age of starting alcohol consumption was 16 years (IQR: 14-18 years). Notably, 69% of participants smoked tobacco, and 61% had a family history of AUD; 18% currently used cannabis, and 7.7% used cocaine. Overall, 73% of patients exhibited AWS criteria, and men (76.5%) were more likely than women (64.6%) to report AWS (P = 0.038). In the adjusted analysis, factors associated with AWS were the age at starting alcohol consumption (odds ratio [OR] for every 5 years = 1.89, 95% confidence interval [CI]: 1.69-2.08), and cannabis use (OR = 2.8, 95% CI: 1.04-7.7) in men, and a family history of AUD in women (OR = 2.85 95% CI: 1.07-7.54).
CONCLUSIONS: factors associated with AWS differ by sex which may have clinical implications for proactive management of AWS during treatment for AUD.
Copyright © 2020 American Society of Addiction Medicine.

Entities:  

Mesh:

Year:  2021        PMID: 32769772     DOI: 10.1097/ADM.0000000000000704

Source DB:  PubMed          Journal:  J Addict Med        ISSN: 1932-0620            Impact factor:   3.702


  3 in total

1.  Alcohol withdrawal in past-year drinkers with unhealthy alcohol use: Prevalence, characteristics, and correlates in a national epidemiologic survey.

Authors:  Ofir Livne; Richard Feinn; Justin Knox; Emily E Hartwell; Joel Gelernter; Deborah S Hasin; Henry R Kranzler
Journal:  Alcohol Clin Exp Res       Date:  2022-03       Impact factor: 3.455

2.  Behavioral characterization of withdrawal following chronic voluntary ethanol consumption via intermittent two-bottle choice points to different susceptibility categories.

Authors:  Natalia A Quijano Cardé; Mariella De Biasi
Journal:  Alcohol Clin Exp Res       Date:  2022-02-15       Impact factor: 3.928

Review 3.  A Gender Perspective of Addictive Disorders.

Authors:  Francina Fonseca; María Robles-Martínez; Judit Tirado-Muñoz; María Alías-Ferri; Joan-Ignasi Mestre-Pintó; Ana Maria Coratu; Marta Torrens
Journal:  Curr Addict Rep       Date:  2021-02-16
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.