Breitinger, Scott

Substance use disorders (SUD) remain a significant source of morbidity and mortality in the United States, and access to treatment continues to be inadequate. Primary Care Clinicians (PCCs) are well-positioned to provide long-term SUD care for patients. However, multiple provider-level barriers exist. Collaborative Care Management (CoCM) has proven successful in supporting PCCs in treating psychiatric conditions, such as depression. Our group proposes an addiction-focused modified CoCM that leverages telemedicine and an electronic platform (Senyo) into primary care. This study assesses PCCs’ attitudes toward this proposed model and their likelihood (with support) of prescribing medications for alcohol and opioid use disorder. To achieve this, an anonymized and confidential electronic survey was deployed to all 489 of our institutions’ PCCs. Eighty-five completed the survey (17.4% response); the majority (94%) agreed that digital CoCM for SUD will be helpful for their practice, and 85% expressed agreement that such a model will increase their confidence and likelihood to prescribe anti-craving medications. Additionally, we found that PCCs’ comfort level in addressing SUD with patients is not associated with years in practice, clinician type (attending physicians, resident/fellow physicians, nurse practitioner or physician assistant), or their perception of currently available SUD treatment resources. Future work to evaluate practice changes, including rates of anti-craving medication prescribing and SUD-treatment outcomes after implementation of our digital CoCM will prove useful in determining the effectiveness of this model.

Background Studies have demonstrated an association between endothelial dysfunction and major depressive disorder (MDD). However, the link between coronary endothelial dysfunction (CED) and an incident diagnosis of MDD across sexes is unclear. Methods Patients with nonobstructive coronary artery disease (stenosis <40%) underwent an invasive assessment of CED. Macrovascular CED was defined as a percentage change in coronary diameter in response to acetylcholine of ≤−10% compared with baseline. Microvascular CED was defined as a percentage change in coronary blood flow in response to acetylcholine of ≤−50% compared with baseline. In the period after the index procedure, patients were followed up for developing a diagnosis of MDD, and logistic regression was performed to assess the association between baseline CED and incident MDD. Results In total, 2280 patients underwent invasive testing for CED. A total of 516 patients (23%) underwent an evaluation for MDD at a date after the index procedure (mean±SD age, 53±12 years; 72% women). A total of 160 (31%) were diagnosed with MDD. The percentage change in coronary diameter in response to acetylcholine was lower in those diagnosed with MDD in all patients (−10.8% versus −5.3%; P =0.008), and in men (−19.0% versus −4.8%; P =0.001). In men, a higher proportion of those with macrovascular CED were diagnosed with MDD compared with those not diagnosed with MDD (59% versus 38%; P =0.035). In multivariable analyses, macrovascular CED was associated with MDD in men (odds ratio: 2.99 [95% CI, 1.26–7.45]; P =0.015). Conclusions Macrovascular CED is significantly associated with incident MDD in men with nonobstructive coronary artery disease. Endothelial dysfunction in the coronary arteries could thus be a helpful biomarker to identify patients at risk of MDD.

This paper provides an overview of psychedelic research at the Mayo Clinic in the 1950s and 1960s, focusing on methods, objectives, findings, and ethical practices. We highlight instances where researchers prioritized scientific progress over the autonomy, safety, and equitable treatment of research subjects, and discuss this history in the context of ongoing challenges with informed consent and equity in contemporary psychedelic research.

AbstractBackground and ObjectivesWhen administered as prescribed, the naloxone component of buprenorphine‐naloxone combination medications is putatively considered inert due to reduced naloxone bioavailability via transmucosal. However, there is a growing body of evidence to the contrary. The aim of our study is to determine the extent of naloxone absorption in a large cohort of patients receiving sublingual buprenorphine‐naloxone.MethodsUsing the Mayo Clinic Unified Data Platform, 425 patients prescribed sublingual buprenorphine/naloxone who received a controlled substance monitoring panel (CSMP) between January 1, 2022, and January 1, 2023 were identified and included. The CSMP is an immunoassay panel that confirms positive results quantitatively with gas chromatography mass spectrometry or liquid chromatography tandem mass spectrometry. This panel provides urinary detection for buprenorphine (cutoff: 5 ng/mL), naloxone (25 ng/mL), as well as their respective metabolites norbuprenorphine (5 ng/mL), norbuprenorphine‐glucuronide (20 ng/mL), and naloxone‐glucuronide (100 ng/mL).ResultsOf our 425 patients, 76% had norbuprenorphine (n = 323), and 77% had norbuprenorphine‐glucuronide (n = 327) in their toxicology tests, respectively. Naloxone‐glucuronide was detected in 91% (n = 294) of the specimens with norbuprenorphine and 88.7% (n = 290) of the specimens with norbuprenorphine‐glucuronide.Conclusion and Scientific SignificanceTo our knowledge, this is the largest study to date demonstrating the presence of naloxone metabolites in patients taking combined buprenorphine‐naloxone medications. The results of this study refute the notion that naloxone absorption is negligible when administered in sublingual preparations. Further research on how this absorption impacts medication usage, dosing, adherence, and side effects is necessary.

In this case series, we present several examples from participants (2 patients and 1 healthy control) of a 12-week pilot feasibility study to create a digital phenotype of depression (unipolar or bipolar) through active and passive data collection from a smartphone and a wearable device combined with routine clinical care for mood disorders. The selected cases represent real clinical examples that highlight the intrinsic challenges that should be expected when conducting similar studies, including appropriate health data privacy protection, clinical standardization, and interindividual differences in levels of engagement and acceptability of active and passive data collection (ie, self-reported, behavioral, cognitive, and physiological data), particularly with patient-generated data in mobile apps, digital proficiency habituation, and consistent use of wearable devices. In the context of the rapidly growing use of digital technologies in psychiatry, anticipating challenges for the integration of personal mobile devices and smartphone mental health apps as aides to track specific aspects of depressive disorders is critical for a clinically meaningful digital transformation of mood disorders care.

Background A subset of individuals with major depressive disorder (MDD) have a high burden of cardiovascular risk factors and cerebral small‐vessel disease, implicating vascular disease in the development of depression. Cross‐sectional studies demonstrate a link between endothelial dysfunction and MDD, but the prospective association between peripheral endothelial dysfunction (PED) and an incident diagnosis of MDD is unknown. Methods and Results Patients undergoing a baseline assessment of cardiovascular risk were evaluated for PED using reactive hyperemia–peripheral arterial tonometry (≤1.8 consistent with PED). Patient medical records were reviewed to identify those who underwent a formal clinical evaluation of MDD after the index PED evaluation. The frequency of PED was compared in those with and without MDD. Logistic regression analyses were performed to assess the association between baseline PED and incident MDD. Between January 2006 and December 2020, 1614 patients underwent testing for PED. Four hundred eighty‐four (30.1%) patients underwent a formal evaluation for MDD after (0–15 years) the index procedure (mean±SD age, 52.8±13.8 years; 65.2% women). Of these, 157 (32.4%) had PED and 108 (31.0%) were diagnosed with MDD. Individuals with MDD had a higher frequency of PED (40.2% versus 30.2%; P =0.034) compared with those without MDD. In multivariable analyses, PED was significantly associated with MDD (odds ratio, 2.3 [95% CI, 1.4–3.8]; P <0.001). Conclusions PED is significantly associated with incident MDD. Thus, PED may be a useful marker to identify individuals at increased risk of depression who may benefit from more frequent and earlier management strategies.

Abstract Background: To describe the process of developing an evolving database for Mayo Clinic primary care patients who screen positive for depression. The databases will support a broad use of these data for current and future quality improvement and research efforts. The description of their development will serve as an example for other institutions attempting to create similar data resources. Methods: The adult database (patients aged ³ 18) has data from 2007 and the adolescent database (patients aged 12 to < 18) from 2011. To be included, a patient had to be eligible for collaborative care model as a primary care patient with at least moderate symptoms of unipolar depression. The patient did not have to be enrolled in collaborative care model. The main domains of measurement are demographics, social determinants of health, mental health and substance abuse conditions, other comorbidities, interaction with collaborative care model, and questionnaire results. The data is being continuously updated as new data becomes available. Results: The adult database currently includes 117,619 unique patients with a mean age of 44.7 years, and is 66.4% female, and 88.1% non-Hispanic white. The adolescent database includes 14,684 unique patients with a mean age of 14.8 years, is 66.7% female, and 79.7% non-Hispanic white. Conclusions: These large, longitudinal, and evolving databases are a key step towards developing a learning environment to improve quality of care and conduct population-based research for patients with depression in primary care settings.

AbstractBackground and ObjectivesSubstance use disorders (SUDs) are chronic relapsing diseases characterized by significant morbidity and mortality. Phenomenologically, patients with SUDs present with a repeating cycle of intoxication, withdrawal, and craving, significantly impacting their diagnosis and treatment. There is a need for better identification and monitoring of these disease states. Remote monitoring chronic illness with wearable devices offers a passive, unobtrusive, constant physiological data assessment. We evaluate the current evidence base for remote monitoring of nonalcohol, nonnicotine SUDs.MethodsWe performed a systematic, comprehensive literature review and screened 1942 papers.ResultsWe found 15 studies that focused mainly on the intoxication stage of SUD. These studies used wearable sensors measuring several physiological parameters (ECG, HR, O2, Accelerometer, EDA, temperature) and implemented study‐specific algorithms to evaluate the data.Discussion and ConclusionsStudies were extracted, organized, and analyzed based on the three SUD disease states. The sample sizes were relatively small, focused primarily on the intoxication stage, had low monitoring compliance, and required significant computational power preventing “real‐time” results. Cardiovascular data was the most consistently valuable data in the predictive algorithms. This review demonstrates that there is currently insufficient evidence to support remote monitoring of SUDs through wearable devices.Scientific SignificanceThis is the first systematic review to show the available data on wearable remote monitoring of SUD symptoms in each stage of the disease cycle. This clinically relevant approach demonstrates what we know and do not know about the remote monitoring of SUDs within disease states.