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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.
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Objective:To explore the effect of attentional bias training on the attentional bias, psychological craving and relapse rate of alcohol dependent patients during rehabilitation.Methods:A randomized controlled trial was used to select 90 alcohol-dependent patients and randomly divide them into an intervention group and a control group. The alcohol cue pictures and neutral pictures were imported into E-Prime software at a ratio of 1∶1.The patients in the two groups were trained for eight times with attentional bias and without attentional bias by point delection paradigm. After each training, the software automatically records the response time and correct rate of the cue pictures and neutral pictures, and before intervention(T0), after 4 interventions(T4), and after 8 interventions(T8), the alcohol craving score was assessed by visual analogue scale and the relapse situation was followed up 1 month after the intervention. SPSS 24.0 software was used for statistical analysis.Repeat measure ANOVA, χ2 test and t-test were used to compare the response time, accuracy and psychological craving of the two groups. Results:Repeated measurement analysis of variance showed that there were interaction between group and time in cue-map response time, line chart accuracy and psychological craving score of the two groups ( F=5.218, 6.939, 147.14, all P<0.01). Simple effect analysis showed that there was no significant difference in cue pictures response time, cue pictures accuracy and psychological craving score between the intervention group and the control group at T0(all P>0.05), but there was significant difference at T4 and T8 (all P<0.05), and there was significant difference in neutral pictures reaction only at T8 ( P<0.05). The comparison between two groups showed that the intervention group showed a downward trend in cue pictures response, T4 and T8 were lower than T0, with statistical difference (both P<0.001), while there was no difference in the control group. In the intervention group, the correct rate of cue pictures increased, T4 and T8 were higher than T0, and there were statistical differences (both P<0.001), while there was no difference in the control group( P>0.05). The psychological craving scores of both the intervention group and the control group showed a downward trend, T4 and T8 were lower than T0, there were statistical differences (both P<0.001), but the difference between T4 and T8 in the control group remained unchanged. One month after the end of the intervention, the difference in the rate of relapse between the intervention group and the control group was marginal (11.10%, 26.70%, P=0.059). The total number of days of abstinence in the intervention group was longer than that in the control group ((28.33±4.99)d, (26.47±6.66)d, P=0.010). Conclusion:Attentional bias training can improve the mental craving and attentional bias of alcohol-dependent patients during the rehabilitation period, and the relapse rate decreased one month after the intervention.
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Objective@#To analyze the influence of cognition on suicidal ideation in patients with major depressive disorder.@*Methods@#A total of 108 inpatients with major depressive disorder from January 2017 to September 2018 in Beijing Huilongguan Hospital were enrolled.They were divided into suicidal ideation group (n=42) and non-suicidal ideation group (n=66) by the self-rating idea of suicide scale (SIOSS). Cognition was assessed by Repeatable Battery for the Assessment of Neuropsychological Status(RBANS). The general situation was assessed by self-made general situation questionnaire.The related factors were analyzed by Logistic regression.@*Results@#(1) The rate of suicidal ideation was 44.4% in patients with major depressive disorder.(2) The total score of RBANS and five-factor scores of RBANS in suicidal ideation group were lower than those in non-suicidal ideation group(total RBANS score(63.0±7.9) vs (73.8±7.7); immediate memory: (62.7±8.8) vs (70.8±7.6); visual span: (67.2±10.0) vs (72.7±9.8); speech function: (83.3±13.8) vs (91.5±4.5); attention: (85.3±11.9) vs (99.9±8.5); delayed memory: (53.5±7.7) vs (62.3±9.7), F=6.335-46.660, P<0.05). (3)Logistic regression showed, years of education were risk factors for suicidal ideation(β=0.289, P=0.013, OR=1.335, 95%CI=1.063-1.676), RBANS attention factor(β=-0.161, P=0.000, OR=0.851, 95%CI=0.778-0.931)and RBANS delayed memory factor score(β=-0.151, P=0.006, OR=0.860, 95%CI=0.772-0.957)were protective factors for suicidal ideation.@*Conclusion@#Cognitive function has an impact on suicide ideation of depressive patients, mainly attention and delayed memory are protective factors for suicide ideation.
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Objective To analyze the influence of cognition on suicidal ideation in patients with major depressive disorder. Methods A total of 108 inpatients with major depressive disorder from January 2017 to September 2018 in Beijing Huilongguan Hospital were enrolled. They were divided into suicidal idea- tion group ( n=42) and non-suicidal ideation group ( n= 66) by the self-rating idea of suicide scale (SIOSS). Cognition was assessed by Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The general situation was assessed by self-made general situation questionnaire. The related fac-tors were analyzed by Logistic regression. Results (1) The rate of suicidal ideation was 44. 4% in patients with major depressive disorder. (2) The total score of RBANS and five-factor scores of RBANS in suicidal i-deation group were lower than those in non-suicidal ideation group(total RBANS score(63. 0±7. 9) vs (73. 8 ±7. 7);immediate memory:(62. 7± 8. 8) vs ( 70. 8± 7. 6);visual span:( 67. 2± 10. 0) vs ( 72. 7± 9. 8);speech function:(83. 3±13. 8) vs (91. 5±4. 5);attention:(85. 3±11. 9) vs (99. 9±8. 5);delayed memory:(53. 5±7. 7) vs (62. 3±9. 7),F=6. 335-46. 660,P<0. 05). (3) Logistic regression showed,years of educa-tion were risk factors for suicidal ideation ( β=0. 289, P=0. 013, OR=1. 335,95% CI=1. 063-1. 676), RBANS attention factor(β=-0. 161,P=0. 000,OR=0. 851,95%CI=0. 778-0. 931) and RBANS delayed memory factor score(β=-0. 151,P=0. 006,OR=0. 860,95%CI=0. 772-0. 957) were protective factors for suicidal ideation. Conclusion Cognitive function has an impact on suicide ideation of depressive patients, mainly attention and delayed memory are protective factors for suicide ideation.
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Objective To evaluate cognitive impairment and performance-based skills and to explore their rela?tionships with clinical phenotypes in drug-na?ve first-episode patients with schizophrenia. Methods One hundred and forty-five inpatients and 65 healthy controls matched for age, gender and education were recruited. The MATRICS Con?sensus Cognitive Battery (MCCB), Stroop, digit span test, emotional recognition test, University of California, San Diego, Performance-based Skill Assessment (UPSA) and Positive Negative Syndrome Scale scale (PANSS) were used to evaluate cognitive function, life skill and symptoms, respectively. Results Compared with the controls, total score of MCCB and scores of 10 subscales, scores of digit span, emotional recognition and Stroop were significantly lower in patients (all P<0.05). The UPSA total score and scores of financial skill and communication skill were lower in patients than in controls (all P<0.05). Verbal memory, visual memory , Stroop, communication skill scores and total UPSA standard score were sig?nificantly higher in patients with paranoid subtype of schizophrenia than in patients with non-paranoid subtype of schizo? phrenia (all P<0.05). The score of MCCB associated with education years (OR=1.29, 95%CI: 1.13~1.47) and PANSS (OR=0.95, 95%CI:0.92~0.97). Conclusions First-episode, drug-naive patients with schizophrenia have markedly cog?nitive and performance-based skills deficits, which are associated with clinical symptoms. These deficits are differences between paranoid subtype and non-paranoid subtype of schizophrenia.
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Objective:To explore the relation of cognitive function correlates to P50 sensory gating in patients with schizophrenia.Methods:Totally 106 patients with drug-na¨ive first-episode schizophrenia and 86 healthy con-trol subjects matched for age,sex and education were recruited.All patients met the Diagnostic and Statistical Man-ual of Mental Disorders,Fourth Edition (DSM-IV)criteria for schizophrenia.Their cognitive function were assessed with the MATRICS Consensus Cognitive Battery (MCCB).The P50 auditory gating potential were recorded in all subjects using conditioning-testing stimulus paradigm and stimulus train paradigm.The P50 components were meas-ured in S1 S2 latency,S1 S2 amplitude and P50 suppression ratios.Results:Compared with the controls subjects, the patients with schizophrenia had significantly longer S1[60.8 ±7.8)ms vs.(56.3 ±7.0)ms,P 0.05).No significant correlation was found between P50 gating measures (P50 ratio and P50 ampli-tude difference)and neuropsychological measures in MCCB scores (Ps >0.05).Conclusion:There may be no as-sociation between P50 deficits and cognitive measures in patients with drug-na¨ive first-episode schizophrenia.
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Objective:To explore the causes of the maintenance of smoking behaviors in male patient with chronic schizophrenia.Methods:Totally 188 male,smoking patients with chronic schizophrenia,meeting with the criteria of Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition (DSM-IV),above 5-year course of disease,taken a steady dosage of antipsychotics for 3 months,and 61 healthy smoking men were collected according to the voluntary principles.The psychopathologic symptoms and the dependence of cigarette of all patients were as- sessed with the Positive and Negative Syndrome Scale (PANSS)and the Fagerstrom Test for Nicotine Dependence (FTND),the Russell's Smoking Motivation Questionnaire (SMQ)was used to investigate the causes for maintai-ning behaviors of smoking in patients and healthy controls respectively.Results:The sedative item scores of SMQ were lower in patient group than in the controls [3 (0,9)vs.6 (0,9),P <0.001],and other scores of subscales had no significant difference compared with control.Heavy dependence happened in patient group slightly less than health controls (2.7%vs.8.2%,P <0.05).The total scores of FTND were positively correlated with the doses of antipsychotics (chlorpromazine equivalent)(r =0.22,P <0.01).The scores of total (β=0.22),automatic (β=0.27)and sedative (β=0.37)items in patient group were less than controls (Ps <0.001)by multi-factors step-wise Linear regression analysis.Conclusion:Compared with general smokers,lower need for sedation,less heavy dependence and motivation in smoking patients might be correlated with the strict management for inpatients smok-ing,social-psychological factors and culture background in China.