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预测酒精戒断抵抗(RAW)的因素:一项回顾性病例对照研究。

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

机构信息

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.

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.

出版信息

Drug Alcohol Depend. 2018 Nov 1;192:303-308. doi: 10.1016/j.drugalcdep.2018.08.017. Epub 2018 Oct 2.

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.

摘要

背景

苯二氮䓬类药物抵抗性酒精戒断(RAW)定义为每小时需要≥40mg 地西泮,这代表一种没有预测参数的严重戒断形式。本研究旨在确定与苯二氮䓬类药物抵抗性戒断(nRAW)相比,与 RAW 相关的风险因素。

方法

通过病历回顾筛选出严重酒精戒断的成年患者。通过逻辑回归选择预测 RAW 的亚组,对收集到的人口统计学和临床变量进行分析。

结果

共分析了 736 例患者(515 例 nRAW,221 例 RAW)。RAW 患者年龄较小(P<0.001)、男性(P=0.008)、白种人(P=0.037)、有精神病史(P<0.001)、血清乙醇浓度较高(P<0.007)和肝酶异常(P=0.01)。RAW 患者血小板(P<0.001)、氯(P=0.02)和钾(P=0.01)水平明显较低;疾病严重程度(SAPSII)(P<0.001)和合并症评分(P<0.001)也较低。发现白种人和男性是 RAW 的可能性分别增加了 3.6 倍和 2.6 倍。合并症和疾病严重程度评分每增加 1 个单位,患者 RAW 的可能性就降低 22%[OR(95%CI)0.78(0.66-0.90)]和 4%[0.96(0.93-0.98)]。有精神病史或血小板减少症的患者 RAW 的可能性增加 2 倍[2.02(1.24-3.30);2.13(1.31-3.50)]。

结论

这些数据表明,有精神病史、血小板减少症、性别、种族、基线疾病严重程度和合并症评分等特征可预测 RAW 的发生。在早期戒断管理中考虑这些特征可能有助于防止 RAW 结局的发生。

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