Dataset Information

A real-world study on clinical predictors of relapse after hospitalized detoxification in a Chinese cohort with alcohol dependence.

ABSTRACT:

Background

The relapse rate of alcohol dependence (AD) after detoxification is high, but few studies have investigated the clinical predictors of relapse after hospitalized detoxification in real-world clinical practice, especially among Chinese patients.

Methods

This longitudinal cohort study followed up 122 AD patients who were discharged from January 1, 2016 to January 30, 2018 from their most recent hospitalization for detoxification. These patients were interviewed by telephone from May 20, 2017, to June 30, 2018, at least 6 months after discharge. During the interview, the relapse were assessed by using a revised Chinese version of the Alcohol Use Disorder Identification Test. Candidate predictors, such as therapeutic modalities during hospitalization and at discharge, medical history data related to alcohol use, and demographic information, were obtained from the medical records in the hospital information system.

Results

During the 6-24 months (with a median of 9 months) follow-up period, the relapse rate was 53.3%. Individuals with a college education level and those who had not been treated with the brief comprehensive cognitive-motivational-behavioural intervention (CCMBI) were more likely than their counterparts to relapse after hospitalized detoxification, and their adjusted HRs (95% CIs) were 1.85 (1.09, 3.16) and 2.00 (1.16, 3.46), respectively. The CCMBI use predicted a reduction in the relapse rate by approximately one-fifth.

Conclusion

Undergoing the CCMBI during detoxification hospitalization and having less than a college-level education could predict a reduced risk of AD relapse. These findings provide useful information both for further clinical research and for real-world practice.

SUBMITTER: Tao YJ

PROVIDER: S-EPMC6717497 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

A real-world study on clinical predictors of relapse after hospitalized detoxification in a Chinese cohort with alcohol dependence.

Tao Yu-Jie YJ Hu Li L He Ying Y Cao Bing-Rong BR Chen Juan J Ye Ying-Hua YH Chen Ting T Yang Xia X Xu Jia-Jun JJ Li Jing J Meng Ya-Jing YJ Li Tao T Guo Wan-Jun WJ

PeerJ 20190828

<h4>Background</h4>The relapse rate of alcohol dependence (AD) after detoxification is high, but few studies have investigated the clinical predictors of relapse after hospitalized detoxification in real-world clinical practice, especially among Chinese patients.<h4>Methods</h4>This longitudinal cohort study followed up 122 AD patients who were discharged from January 1, 2016 to January 30, 2018 from their most recent hospitalization for detoxification. These patients were interviewed by telepho ...[more]

PMID: 31523508

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Project description:BackgroundFor patients with schizophrenia, relapse is a recurring feature of disease progression, often resulting in substantial negative impacts for the individual. Although a patient's relapse history (specifically the number of prior relapses) has been identified as a strong risk factor for future relapse, this relationship has not yet been meticulously quantified. The objective of this study was to use real-world data from Sweden to quantify the relationship of time to relapse in schizophrenia with a patient's history of prior relapses.MethodsData from the Swedish National Patient Register and Swedish Prescribed Drug Register were used to study relapse in patients with schizophrenia with a first diagnosis recorded from 2006-2015, using proxy definitions of relapse. The primary proxy defined relapse as a psychiatric hospitalisation of ≥7 days' duration. Hazard ratios (HRs) were calculated for risk of each subsequent relapse, and Aalen-Johansen estimators were used to estimate time to next relapse.Results2,994 patients were included, and 5,820 relapse episodes were identified using the primary proxy. As the number of previous relapses increased, there was a general trend of decreasing estimated time between relapses. Within 1.52 years of follow-up, 50% of patients with no history of relapse were estimated to have suffered their first relapse episode. 50% of patients with one prior relapse were estimated to have a second relapse within 1.23 years (HR: 1.84 [1.71-1.99]) and time to next relapse further decreased to 0.89 years (HR: 2.77 [2.53-3.03]) and 0.22 years (HR: 18.65 [15.42-22.56]) for 50% of patients with two or ten prior relapses, respectively. Supplementary analyses using different inclusion/exclusion criteria for the study population and redefined proxies of relapse reflected the pattern observed with the primary analyses of a higher number of prior relapses linked with increased risk of/reduced estimated time to the next relapse.ConclusionsThe results suggested a trend of accelerating disease progression in schizophrenia, each relapse episode predisposing an individual to the next within a shorter time period. These results emphasise the importance of providing early, effective, and tolerable treatments that better meet a patient's individual needs.

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Dataset Information

A real-world study on clinical predictors of relapse after hospitalized detoxification in a Chinese cohort with alcohol dependence.

Background

Methods

Results

Conclusion

Publications

A real-world study on clinical predictors of relapse after hospitalized detoxification in a Chinese cohort with alcohol dependence.

Similar Datasets

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