Comparative analysis of clinical characteristics and short-term prognosis between type A and type B male patients with alcohol dependence
10.3760/cma.j.cn371468-20220702-00366
- VernacularTitle:A型和B型酒依赖男性患者临床特征及短期预后的差异
- Author:
Haipeng CAI
1
;
Ruonan DU
;
Zhiren WANG
;
Wei LI
;
Rongjiang ZHAO
;
Qingyan YANG
;
Xin WANG
;
Kebing YANG
Author Information
1. 北京回龙观医院老年科，北京 100096
- Keywords:
Alcohol dependence;
Type A alcohol dependence;
Type B alcohol dependence;
Relapse;
Male
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2023;32(3):238-244
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the differences in clinical characteristics and treatment outcomes between patients with type A and type B alcohol dependence, and to find the independent risk factors of relapse.Methods:Alcohol-dependent male patients attending the Addiction Medicine Center of Beijing Huilongguan Hospital from January 2018 to December 2020 were selected for the study and divided into type A alcohol-dependent group ( n=77) and type B alcohol-dependent group ( n=87). All patients were given acute detoxification treatment and were followed up after treatment on relapse to drinking. Differences in demographic and clinical data were compared between the two groups, and differences in treatment outcomes between the two groups at different time points over 3 months were compared. Patients were divided into relapse group and non-relapse group according to whether they drank again after 3 months. Logistic regression model was established to screen the risk factors of relapse of alcohol-dependent patients by SPSS 25.0 software. Results:There was no significant difference between the two types of patients in years of education, marital status, smoking status and working status(all P>0.05), but the proportion of co-residents( χ2=5.69, P=0.017) and the proportion of positive family history of alcoholism were significant difference between the two type of patients( χ2=13.32, P<0.001). There were statistically significant differences between the two types of patients in the onset time( t=-7.28, P<0.001), the first drinking age( t=-2.36, P=0.020), the proportion of drinking in the morning( χ2=7.83, P=0.005), psychotic symptoms( χ2=4.31, P=0.038), convulsions after withdrawal( χ2=5.30, P=0.021), and alcohol use disorder identification test(AUDIT) score( t=4.30, P<0.001). At the 4th and 8th weekend of the follow-up, there were statistically significant differences in drinking frequency(0(0, 3), 0(0, 0), Z=-4.13, P<0.001; 3(0, 3), 0(0, 3), Z=-4.42, P<0.001) and relapse rate (40(45.98%), 9(11.69%), χ2=22.92, P<0.001; 61(70.11%), 24(31.17%), χ2=24.82, P<0.001) between the two types of alcohol dependence patients after drinking again. After 12-week follow-up, there were statistically significant differences between the two types of alcohol-dependent patients in the interval of first drinking(20(7, 30)d, 88(38, 90)d, Z=-7.83, P<0.001), the cumulative duration of abstinence(4(0, 8)weeks, 12(4, 12)weeks, Z=-5.13, P<0.001), the cumulative rate of abstinence(71(81.60%), 25(32.47%), χ2=40.62, P<0.001), the frequency of drinking after abstinence(3(3, 3), 0(0, 3), Z=-5.54, P<0.001), and the reduction of daily average alcohol consumption( t=3.36, P<0.001). Logistic regression model showed that type B alcohol dependence ( OR=3.121, P=0.03, 95% CI: 1.12-8.72) and AUDIT score ( OR=1.498, P<0.01, 95% CI: 1.29-1.74) were the risk factors for relapse of alcohol-dependent patients. Conclusions:Patients with type A and type B alcohol dependence have obvious differences in clinical characteristics and treatment outcomes, and type B alcohol dependence is independent risk factor for relapse to drinking in alcohol-dependent patients, which validate the rationality and necessity of alcohol dependence subtypes.
