Danielle R Fine1,2, Liyang Yu3, Virginia A Triant3,4,5, Travis P Baggett3,4,6, Joshua P Metlay3,4. 1. Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. drfine@mgh.harvard.edu. 2. Harvard Medical School, Boston, MA, USA. drfine@mgh.harvard.edu. 3. Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. 4. Harvard Medical School, Boston, MA, USA. 5. Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. 6. Institute for Research, Quality, and Policy in Homeless Health Care, Boston Health Care for the Homeless Program, Boston, MA, USA.
Abstract
BACKGROUND: Opioid agonist therapy (OAT) has been shown to reduce mortality in patients with opioid use disorder (OUD), yet mortality in individuals receiving OAT remains higher than in an age- and gender-matched population. OBJECTIVE: To identify baseline risk factors in patients who engaged in buprenorphine treatment that are associated with this elevated risk of death. DESIGN: We performed a retrospective cohort study from January 1, 2007, to December 31, 2018, using a centralized clinical data registry within a multi-hospital health system in Boston, MA, USA. PARTICIPANTS: All adult patients who had ≥ 2 consecutive encounters with sublingual buprenorphine on the active medication list from January 1, 2007, to December 31, 2018. MAIN MEASURES: We abstracted several sociodemographic, clinical, and healthcare use characteristics from the clinical data registry. The primary outcome was all-cause mortality and the secondary outcome was opioid overdose-related mortality. We performed multivariable cox regression to identify baseline characteristics independently associated with these outcomes. KEY RESULTS: Of 5948 patients in the cohort, the majority were white (80.7%) and male (59.7%), with a mean age of 38.2 years. The all-cause mortality rate was 24.0 deaths per 1000 person-years. Baseline characteristics independently associated with an increased hazard of all-cause mortality included homelessness (adjusted hazard ratio [aHR] = 1.39; 95% confidence interval [CI] = 1.09, 1.78), an opioid on the active medication list (aHR = 1.28; 95% CI = 1.08, 1.52), and entry into the cohort during an inpatient hospitalization (aHR = 1.43; 95% CI = 1.18, 1.73). Homelessness was also associated with an increased hazard of opioid overdose-related mortality (aHR = 1.77; 95% CI = 1.25, 2.50). CONCLUSIONS: We identified several novel and potentially modifiable predictors of mortality among patients engaging in buprenorphine treatment who remain at an increased risk of death compared with the general population. Understanding these risk factors can assist healthcare providers in risk stratification and inform the design of targeted interventions to improve outcomes in a high-risk patient population.
BACKGROUND: Opioid agonist therapy (OAT) has been shown to reduce mortality in patients with opioid use disorder (OUD), yet mortality in individuals receiving OAT remains higher than in an age- and gender-matched population. OBJECTIVE: To identify baseline risk factors in patients who engaged in buprenorphine treatment that are associated with this elevated risk of death. DESIGN: We performed a retrospective cohort study from January 1, 2007, to December 31, 2018, using a centralized clinical data registry within a multi-hospital health system in Boston, MA, USA. PARTICIPANTS: All adult patients who had ≥ 2 consecutive encounters with sublingual buprenorphine on the active medication list from January 1, 2007, to December 31, 2018. MAIN MEASURES: We abstracted several sociodemographic, clinical, and healthcare use characteristics from the clinical data registry. The primary outcome was all-cause mortality and the secondary outcome was opioid overdose-related mortality. We performed multivariable cox regression to identify baseline characteristics independently associated with these outcomes. KEY RESULTS: Of 5948 patients in the cohort, the majority were white (80.7%) and male (59.7%), with a mean age of 38.2 years. The all-cause mortality rate was 24.0 deaths per 1000 person-years. Baseline characteristics independently associated with an increased hazard of all-cause mortality included homelessness (adjusted hazard ratio [aHR] = 1.39; 95% confidence interval [CI] = 1.09, 1.78), an opioid on the active medication list (aHR = 1.28; 95% CI = 1.08, 1.52), and entry into the cohort during an inpatient hospitalization (aHR = 1.43; 95% CI = 1.18, 1.73). Homelessness was also associated with an increased hazard of opioid overdose-related mortality (aHR = 1.77; 95% CI = 1.25, 2.50). CONCLUSIONS: We identified several novel and potentially modifiable predictors of mortality among patients engaging in buprenorphine treatment who remain at an increased risk of death compared with the general population. Understanding these risk factors can assist healthcare providers in risk stratification and inform the design of targeted interventions to improve outcomes in a high-risk patient population.
Authors: Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke Journal: Ann Intern Med Date: 2007-10-16 Impact factor: 25.391
Authors: Daniel P Alford; Colleen T LaBelle; Jessica M Richardson; James J O'Connell; Carole A Hohl; Debbie M Cheng; Jeffrey H Samet Journal: J Gen Intern Med Date: 2007-02 Impact factor: 5.128