Schultz, Billie A.

Abstract Background and aims BotulinumtoxinA (BoNT-A) is a guideline-recommended treatment for spasticity following stroke. We evaluated BoNT-A treatment persistence drivers of discontinuation and predictors of non-persistence in patients with stroke. Methods Eligible adults had received ≥1 treatment cycle with BoNT-A at the Mayo Clinic (January 2010–June 2023) and had an International Classification of Diseases (ICD9/10) code for stroke. Patients with ICD9/10 codes for migraine, cerebral palsy, cervical dystonia, or bladder dysfunction were excluded. Index date (baseline) was the date of first BoNT-A treatment; follow-up was 2 years post-index. Patients were persistent if all treatment intervals post-index were ≤the 80th percentile of all patients. Reasons for discontinuation were identified by AI natural language processing analysis of physicians’ free-text notes. Baseline characteristics associated with non-persistence were identified using step-wise logistic regression analyses. Results Overall, 407 patients were included. The 80th percentile of the BoNT-A treatment interval was 154 days; 5.7% of patients were persistent. Mean (95%CI) number of BoNT-A treatments over the 2-year follow-up was 2.43 (2.24–2.63) cycles. Comorbidity burden was high (Table 1). The most common reasons for BoNT-A discontinuation were patient- and physician-reported lack of treatment effectiveness (Table 2). Older age, Hispanic/Latino/unknown/undisclosed ethnicity, presence of comorbidities, and use of medications of interest at baseline (skeletal muscle relaxants, antidepressants, anticonvulsants, opiates, sedatives/hypnotics, NSAIDs) were significantly associated with non-persistence (Table 3). Conclusions Over 2 years, BoNT-A treatment persistence was low. Lack of treatment effectiveness was the most common reason for discontinuation. Addressing drivers of non-persistence may help improve BoNT-A treatment outcomes. Conflict of interest Funding: Ipsen. Disclosure of Conflicts of Interest: Michael Wainberg: has received consulting fees from Ipsen. Billie Schultz: has received consulting fees from Ipsen. Jinming Zhang, Simon Page, Jonathan Bouchard, Amandeep Mann, Mathieu Beneteau are employees of Ipsen. Table 1 - belongs to Conclusions Table 2 - belongs to Conclusions Table 3 - belongs to Conclusions

Depression, suicidal ideation, burnout, and moral injury are on the rise among physicians. Depression and suicidal ideation are mental health disorders that result from multiple interacting factors including biological vulnerabilities and acute stressors. Medical treatment for depression and suicidal ideation is critical to interrupt the potentially deadly progression to suicide that occurs when one’s ability to find hope and other solutions is clouded by despair. Yet, stigma and perceived stigma of seeking treatment for mental health disorders still plagues medical providers. Transitions during medical training and practice can be particularly vulnerable time periods, though newer evidence suggests that overall, physicians are not at an increased risk of suicide compared to the general population. While burnout and moral injury are common among rehabilitation physicians, unlike depression, they are not directly associated with suicidal ideation. Opportunities for continued improvement in mental health resources and institutional support exist across the spectrum from medical student to staff physician. With wellness now increasingly supported and promoted by various medical organizations and recognition of the importance of access to effective mental health treatment, regaining hope and positivity while restoring resiliency in physicians, trainees, and medical students is possible.

Background and Purpose— Identifying clinical data acquired at inpatient rehabilitation admission for stroke that accurately predict key outcomes at discharge could inform the development of customized plans of care to achieve favorable outcomes. The purpose of this analysis was to use a large comprehensive national data set to consider a wide range of clinical elements known at admission to identify those that predict key outcomes at rehabilitation discharge. Methods— Sample data were obtained from the Uniform Data System for Medical Rehabilitation data set with the diagnosis of stroke for the years 2005 through 2007. This data set includes demographic, administrative, and medical variables collected at admission and discharge and uses the FIM (functional independence measure) instrument to assess functional independence. Primary outcomes of interest were functional independence measure gain, length of stay, and discharge to home. Results— The sample included 148 367 people (75% white; mean age, 70.6±13.1 years; 97% with ischemic stroke) admitted to inpatient rehabilitation a mean of 8.2±12 days after symptom onset. The total functional independence measure score, the functional independence measure motor subscore, and the case-mix group were equally the strongest predictors for any of the primary outcomes. The most clinically relevant 3-variable model used the functional independence measure motor subscore, age, and walking distance at admission ( r 2 =0.107). No important additional effect for any other variable was detected when added to this model. Conclusions— This analysis shows that a measure of functional independence in motor performance and age at rehabilitation hospital admission for stroke are predominant predictors of outcome at discharge in a uniquely large US national data set.