Journal of general internal medicine
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The relationship between risk factor or biomarker trajectories and contemporaneous short-term clinical outcomes is poorly understood. In diabetes patients, it is unknown whether hemoglobin A1c (HbA1c) trajectories are associated with clinical outcomes and can inform care in scenarios in which a single HbA1c is uninformative, for example, after a diagnosis of coronary artery disease (CAD). ⋯ In clinical settings where single HbA1c measurements provide limited information, HbA1c trajectories may help stratify risk of complications in diabetes patients. Joint latent class modeling provides a generalizable approach to examining relationships between biomarker trajectories and clinical outcomes in the era of near-universal adoption of electronic health records.
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Amidst the opioid overdose crisis, there are increased efforts to expand access to medications for opioid use disorder (MOUD). Hospitalization for the complications of substance use in the United States (US) provides an opportunity to initiate methadone, buprenorphine, and extended release naltrexone and link high-risk, not otherwise engaged, patients into outpatient care. However, treatment options for patients are quickly exhausted when these medications are not desired, tolerated, or beneficial. ⋯ If hospitalized in Vancouver, Canada, this patient could have been offered slow-release oral morphine and injectable opioid agonist therapy, as well as access to sterile syringes and injection equipment at an in-hospital supervised injection facility. Each of these approaches is supported by evidence and has been implemented successfully in Canada, yet none are available in the US. In order to combat the multiple harms from opioids, it is critical that we consider every evidence-based tool.