Predictors of resistant alcohol withdrawal (RAW): A retrospective case-control study.

Drug Alcohol Depend

Department of Pharmacy, UPMC Presbyterian, 200 Lothrop Street, Pittsburgh, PA 15213, United States; Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, 3501 Terrace St, Pittsburgh, PA 15213, United States.

Published: November 2018

AI Article Synopsis

  • Benzodiazepine-resistant alcohol withdrawal (RAW) is a severe form of alcohol withdrawal that occurs when patients require a high dose of diazepam, and the study aims to identify risk factors for this condition.
  • Analysis of 736 patients found that RAW individuals were typically younger, predominantly male, Caucasian, and had a history of psychiatric illness, as well as higher initial ethanol levels and abnormal liver function.
  • Key predictive factors for RAW included psychiatric history, low platelet levels, male gender, Caucasian race, and higher severity and comorbidity scores, suggesting that early identification of these traits could help prevent severe withdrawal outcomes.

Article Abstract

Background: Benzodiazepine-resistant alcohol withdrawal (RAW), defined by a requirement of ≥ 40 mg of diazepam in 1 h, represents a severe form of withdrawal without predictive parameters. This study was designed to identify risk factors associated with RAW versus withdrawal without benzodiazepine resistance (nRAW).

Methods: A retrospective cohort of adults with severe alcohol withdrawal were screened. Demographic and clinical variables, collected through chart review, underwent logistic regression to select the subset that predicst RAW.

Results: 736 patients (515 nRAW, 221 RAW) were analyzed. RAW patients were younger (P < 0.001), male (P = 0.008) Caucasians (P = 0.037) with histories of psychiatric illness (P < 0.001), higher serum ethanol concentrations (P < 0.007), and abnormal liver enzymes (P = 0.01). RAW patients had significantly lower platelets (P < 0.001), chloride (P = 0.02), and potassium (P = 0.01) levels; severity of illness (SAPSII) (P < 0.001) and comorbidity scores (P < 0.001). Caucasian race and male gender were found to be 3.6 and 2.6 times more likely to be RAW. For every 1-unit increase in comorbidity and severity of illness scores, patients were 22% [OR(95% CI) 0.78 (0.66-0.90)] and 4% [0.96 (0.93-0.98)] less likely to be RAW. Patients with a psychiatric history or thrombocytopenia were 2 times more likely [2.02 (1.24-3.30); 2.13 (1.31-3.50), respectively] to be RAW.

Conclusion: These data demonstrate the predictive ability of a history of psychiatric illness, thrombocytopenia, gender, race, baseline severity of illness and comorbidity scores for developing RAW. Considering these characteristics in early withdrawal management may prevent progression to RAW outcomes.

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Source
http://dx.doi.org/10.1016/j.drugalcdep.2018.08.017DOI Listing

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