Long-Term Outcomes of Patients With Cocaine Use Disorder: A 18-years Addiction Cohort Study

Objective: Cocaine Use Disorder (CUD) has been associated with multiple complications and premature death. The purpose of the present study was to analyze the relationship between baseline medical comorbidity and long-term medical outcomes (i.e., hospitalization, death) in a cohort of patients primarily admitted for detoxification. In addition, we aimed to analyze cause-specific mortality. Methods: longitudinal study in CUD patients admitted for detoxification between 2001 and 2018. Substance use characteristics, laboratory parameters and medical comorbidity by VACS Index were assessed at admission. Follow-up and health-related outcomes were ascertained through visits and e-health records. Kaplan-Meier and Cox regression models were used to analyze survival and predictors of hospitalization and death. Results: 175 patients (77.7% men) were included. Age at admission was 35 years [IQR: 30-41 years], 59.4% of the patients being intranasal users, 33.5% injectors, and 7.1% smokers. Almost 23% of patients had concomitant alcohol use disorder, 39% were cannabis users and 9% opiate users. The median VACS Index score on admission was 10 points [IQR: 0-22]. After 12 years [IQR: 8.6-15 years] of follow-up there were 1,292 (80.7%) ED admissions and 308 (19.3%) hospitalizations. The incidence rate of ED admission and hospitalization was 18.6 x 100 p-y (95% CI: 15.8-21.8 x 100 p-y). Mortality rate was 1.4 x 100 p-y (95% CI: 0.9-2.0 x 100 p-y) and, baseline comorbidity predicted hospitalization and mortality: those with VACS Index >40 were 3.5 times (HR:3.52, 95% CI: 1.19-10.4) more likely to dye with respect to patients with VACS < 20. Conclusion: addiction care warrants optimal stratification of medical comorbidity to improve health outcomes and survival of CUD patients seeking treatment of the disorder.

Automated summary

This study examined the relationship between baseline medical comorbidity and long-term medical outcomes in CUD patients, revealing that baseline comorbidity predicts hospitalization and mortality, with patients having a VACS Index >40 being 3.5 times more likely to die compared to those with VACS <20.