与复杂酒精戒断综合征相关的危险因素

Navdeep Banyal, H. Dhillon, S. Sasidharan
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引用次数: 0

摘要

背景:酒精戒断综合征(AWS)是酒精依赖综合征患者的常见症状。复杂的酒精戒断状态(即谵妄和/或抽搐)是最严重的形式,如果不加以治疗,会导致严重的发病率和死亡率。因此,必须识别与复杂AWS相关的风险因素,以便早期诊断和快速管理。材料和方法:本研究在一家三级护理中心对60名患者进行了横断面设计,以确定与复杂酒精戒断相关的风险因素。随后对收集的数据进行适当检验的统计分析(皮尔逊卡方检验,t检验)。结果:在60例患者中,30例出现了复杂的AWS。在人口统计学变量中,教育程度<10级标准的患者、失业和震颤性谵妄病史被发现是复杂AWS的重要预测因素。复杂AWS患者每天饮酒的平均值±标准差较高(19.33±1.77 vs.11.87±1.17)单位(P<0.001)。复杂AWS患者的酒精戒断持续时间为7.13±4.17天,而非复杂AWS患者为5.23±2.70天(P=0.041),血小板计数低(P<0.001)和红细胞沉降率高(P<0.01)也是复杂AWS的重要预测因素。复杂AWS患者血清γ-谷氨酰转移酶GGT值较高,但差异无统计学意义。结论:本研究发现,较低的教育程度、失业率、震颤性谵妄史、较高的每日饮酒量、心动过速、较高的呼吸频率、较低的血小板计数和较高的红细胞沉降率是复杂AWS的重要预测因素。
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Risk factors associated with complicated alcohol withdrawal syndrome
Background: Alcohol withdrawal syndrome (AWS) is a frequent presentation in patients with alcohol dependence syndrome. Complicated alcohol withdrawal state (i.e., delirium and/or convulsions) is the most severe form with significant morbidity and mortality if left untreated. Therefore, it is imperative to identify the risk factors associated with complicated AWS for early diagnosis and swift management. Materials and Methods: This study utilized a cross sectional design in a tertiary care center on 60 patients to identify the risk factors associated with complicated alcohol withdrawal. The data collected were subsequently subjected to statistical analysis with appropriate tests (Pearson Chi-square test, t-test). Results: Out of the 60 patients, 30 developed complicated AWS. Amongst the demographic variables, patients with education <10th standard, unemployment and history of delirium tremens were found to be significant predictors of complicated AWS. Patients with complicated AWS consumed higher mean ± standard deviation (19.33 ± 1.77 vs. 11.87 ± 1.17) units of alcohol per day (P < 0.001). The duration of alcohol withdrawal lasted for 7.13 ± 4.17 days in complicated AWS compared to 5.23 ± 2.70 days in uncomplicated (P = 0.041). Tacycardia (P = 0.001), respiratory rate (P = 0.001), low platelet count (P < 0.001) and higher Erythrocyte sedimentaion rate (P < 0.001) were also found to be significant predictors of complicated AWS. Serum gamma-glutamyl transferase GGT values were higher in complicated AWS but the difference was not statistically significant. Conclusion: This study found lower education, unemployment, history of delirium tremens, higher units of alcohol consumed per day, tacycardia, higher respiratory rate, lower platelet count and higher erythrocyte sedimentaion rate as significant predictors of complicated AWS.
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来源期刊
JMS - Journal of Medical Society
JMS - Journal of Medical Society Medicine-Medicine (all)
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