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Diagnostic Performance of AST Scale in Mexican Male Population for Alcohol Withdrawal Syndrome

Author

Listed:
  • Juan Antonio Suárez-Cuenca

    (Internal Medicine Department, Hospital General Xoco, SEDESA, Mexico City 03330, Mexico
    Department of Clinical Research, Centro Médico Nacional “20 de Noviembre”, ISSSTE, Mexico City 03229, Mexico)

  • Christian Gabriel Toledo-Lozano

    (Department of Clinical Research, Centro Médico Nacional “20 de Noviembre”, ISSSTE, Mexico City 03229, Mexico)

  • Maryjose Daniela Espinosa-Arroyo

    (Internal Medicine Department, Hospital General Xoco, SEDESA, Mexico City 03330, Mexico)

  • Nallely Alejandra Vázquez-Aguirre

    (Internal Medicine Department, Hospital General Xoco, SEDESA, Mexico City 03330, Mexico)

  • Gandhy Thomas Fonseca-González

    (Nephrology Department, Centro Médico Nacional “20 de Noviembre”, ISSSTE, Mexico City 03229, Mexico)

  • Karen Garro-Almendaro

    (Internal Medicine Department, Hospital General Xoco, SEDESA, Mexico City 03330, Mexico)

  • Alberto Melchor-López

    (Internal Medicine Department, Hospital General Xoco, SEDESA, Mexico City 03330, Mexico)

  • Victor Hugo García-López

    (Internal Medicine Department, Hospital General Tláhuac, SEDESA, Mexico City 13278, Mexico)

  • Abril Ortiz-Matamoros

    (Department of Clinical Research, Centro Médico Nacional “20 de Noviembre”, ISSSTE, Mexico City 03229, Mexico)

  • Tania Ortega-Rosas

    (Department of Clinical Research, Centro Médico Nacional “20 de Noviembre”, ISSSTE, Mexico City 03229, Mexico)

  • Sofia Lizeth Alcaraz-Estrada

    (Department of Genomic Medicine, Centro Médico Nacional “20 de Noviembre”, ISSSTE, Mexico City 03229, Mexico)

  • Paul Mondragón-Terán

    (Coordination of Research, Centro Médico Nacional “20 de Noviembre”, ISSSTE, Mexico City 03229, Mexico)

  • Silvia García

    (Department of Clinical Research, Centro Médico Nacional “20 de Noviembre”, ISSSTE, Mexico City 03229, Mexico)

Abstract

Alcohol withdrawal syndrome (AWS) represents an adverse consequence of chronic alcohol use that may lead to serious complications. Therefore, AWS requires timely attention based on its early recognition, where easy-to-apply diagnostic tools are desirable. Our aim was to characterize the performance of a short-scale AST (Anxiety, Sweats, Tremors) in patients from public general hospitals. We conducted a cross-sectional study of patients attended at the Emergency Department diagnosed with AWS. Three scales were applied: CIWA-Ar (Clinical Institute Retirement Assessment Scale-Revised), GMAWS (Glasgow Modified Alcohol Withdrawal Syndrome) and AST. Cronbach’s alpha and Cohen’s kappa tests were used for reliability and concordance. Factorial analysis and diagnostic performance including ROC curve were carried out. Sixty-eight males with a mean age of 41.2 years old, with high school education and robust alcohol consumption, were included. Mean scores for CIWA-Ar, GMWAS and AST were 17.4 ± 11.2, 3.9 ± 2.3 and 3.8 ± 2.6, respectively, without significant differences. The AST scale showed an acceptable reliability and concordance (0.852 and 0.439; p < 0.0001) compared with CIWA-Ar and GMAWS. AST component analysis evidenced tremor (77.5% variance), sweat (12.1% variance) and anxiety (10.4% variance). Diagnostic performance of the AST scale was similar to the GMAWS scale, evidencing a sensitivity of 84%, specificity of 83.3% and Area Under the Curve (AUC) of 0.837 to discriminate severe AWS, according to CIWA-Ar. The performance of the AST scale to evaluate AWS is comparable with the commonly used CIWA-Ar and GMAWS scales. AST further represents an easy-to-apply instrument.

Suggested Citation

  • Juan Antonio Suárez-Cuenca & Christian Gabriel Toledo-Lozano & Maryjose Daniela Espinosa-Arroyo & Nallely Alejandra Vázquez-Aguirre & Gandhy Thomas Fonseca-González & Karen Garro-Almendaro & Alberto M, 2022. "Diagnostic Performance of AST Scale in Mexican Male Population for Alcohol Withdrawal Syndrome," IJERPH, MDPI, vol. 19(15), pages 1-8, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9208-:d:873692
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