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A prediction model for drug relapse among patients undergoing methadone maintenance treatment: a retrospective cohort study using lasso-logistic regression
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Yixiang LIN, Jianfeng XIE, Yuefeng QIU, Shaobin WU
Chinese Journal of Public Health | 2025, 41(12) : 1481 - 1487
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Chinese Journal of Public Health | 2025, 41(12): 1481-1487
• Epidemiological Research •
A prediction model for drug relapse among patients undergoing methadone maintenance treatment: a retrospective cohort study using lasso-logistic regression
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Yixiang LIN, Jianfeng XIE, Yuefeng QIU, Shaobin WU
Affiliations
  • Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350012, China
Published: 2025-12-10 doi: 10.11847/zgggws1147233
Outline
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Objective

To analyze the influencing factors of drug relapse among patients undergoing methadone maintenance treatment (MMT) in Fujian province and construct a risk prediction model.

Methods

A retrospective cohort study was conducted. Data were sourced from the Data Information Management System of Drug Maintenance Treatment. Patients who underwent MMT for 180 days or relapsed in Fujian from 2006 to 2023 were included. Lasso-logistic regression was employed to screen the influencing factors, and a risk prediction model was constructed.

Results

The relapse rate of patients undergoing MMT was 75.58% (5 745/7 601). Female gender (OR = 0.801, 95%CI: 0.695–0.923), longer drug use duration (OR = 0.985, 95%CI: 0.974–0.996), and older enrollment age (OR = 0.988, 95%CI: 0.981–0.997) were protective factors for drug relapse. The risk factors for drug relapse were injection drug use in the month before enrollment (OR = 1.156, 95%CI: 1.034–1.293), being employed (OR = 1.184, 95%CI: 1.059–1.326), being referred to MMT by drug-using friends (OR = 1.273, 95%CI: 1.026–1.582), more frequent daily drug use in the month before enrollment (OR = 1.018, 95%CI: 1.005–1.033), longer travel time to the clinic (OR = 1.004, 95%CI: 1.002–1.008), previous participation in MMT (OR = 1.217, 95%CI: 1.095–1.355), coming to MMT by bus (OR = 1.429, 95%CI: 1.193–1.712), and using other means of transportation to MMT (OR = 2.890, 95%CI: 2.033–4.106). The area under curve (AUC) of the constructed risk prediction model was 0.602 (95%CI: 0.588–0.617).

Conclusions

The drug relapse rate of patients undergoing MMT is high in Fujian, and the constructed risk prediction model can be used to identify high-risk populations of drug relapse.

methadone maintenance treatment  /  drug relapse  /  prediction model  /  influencing factor  /  Fujian
林毅翔, 谢剑锋, 邱月锋, 吴韶彬. 美沙酮维持治疗患者复吸毒品风险预测:基于lasso-logistic模型分析的回顾性队列研究. 中国公共卫生, 2025 , 41 (12) : 1481 -1487 . DOI: 10.11847/zgggws1147233
Yixiang LIN, Jianfeng XIE, Yuefeng QIU, Shaobin WU. A prediction model for drug relapse among patients undergoing methadone maintenance treatment: a retrospective cohort study using lasso-logistic regression[J]. Chinese Journal of Public Health, 2025 , 41 (12) : 1481 -1487 . DOI: 10.11847/zgggws1147233
Year 2025 volume 41 Issue 12
82
40
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Article Info
doi: 10.11847/zgggws1147233
  • Receive Date:2025-02-26
  • Online Date:2026-10-25
  • Published:2025-12-10
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History
  • Received:2025-02-26
  • Revised:2025-05-06
  • Accepted:2025-08-06
Affiliations
    Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350012, China

Corresponding:

WU Shaobin, E-mail:
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表12种不同金属材料的力学参数
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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