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Stroke is a disease of disparities, with tremendous racial and ethnic inequities in incidence, prevalence, treatment, and outcomes. The accumulating literature on the relationship between stroke and social determinants of health (ie, the structural conditions of the places where people live, learn, work, and play) contributes to our understanding of stroke inequities. Several interventions have been tested concurrently to reduce racial and ethnic inequities in stroke preparedness, care, recovery, and risk factor control. It is regrettable that no common theoretical framework has been used to facilitate comparison of interventions. In this scientific statement, we summarize, across the stroke continuum of care, trials of interventions addressing racial and ethnic inequities in stroke care and outcomes. We reviewed the literature on interventions to address racial and ethnic inequities to identify gaps and areas for future research. Although numerous trials tested interventions aimed at reducing inequities in prehospital, acute care, transitions in care, and poststroke risk factor control, few addressed inequities in rehabilitation, recovery, and social reintegration. Most studies addressed proximate determinants (eg, medication adherence, health literacy, and health behaviors), but upstream determinants (eg, structural racism, housing, income, food security, access to care) were not addressed. A common theoretical model of social determinants can help researchers understand the heterogeneity of social determinants, inform future directions in stroke inequities research, support research in understudied areas within the continuum of care, catalyze implementation of successful interventions in additional settings, allow for comparison across studies, and provide insight into whether addressing upstream or downstream social determinants has the strongest effect on reducing inequities in stroke care and outcomes.

SARS-CoV-2 is a novel and highly contagious coronavirus that has been a major threat to the public's health. As the pandemic has spread across the United States, it has become abundantly clear that vulnerable populations include not only the elderly and individuals with disabilities but also those who are homeless or incarcerated, Latinx Americans, African Americans, and Native Americans. This report is focused on the experience of Black patients, inclusive of African Americans, and recognizes the higher morbidity and mortality in this population. Physiatrists can provide care for the sequelae faced by survivors and prioritize rehabilitation services. Programs must be administered in a way that is geographically accessible to Black communities and demonstrate cultural competence. Future research should focus on the social determinants of health to better understand at-risk populations and improve outcomes.

Marijuana is the most widely consumed illicit substance in the United States, and an increasing number of states have legalized it for both medicinal and recreational purposes. As it becomes more readily available, there will be a concurrent rise in the number of users and, consequently, the number of motor vehicle operators driving under the influence. This article examines the cognitive and psychomotor effects of cannabis, as well as current policy concerning driving under the influence of drugs. The authors performed a MEDLINE search on the epidemiology of cannabis use, its cognitive and psychomotor effects, and policies regarding driving under the influence of drugs. Twenty-eight epidemiological studies, 16 acute cognitive and psychomotor studies, 8 chronic cognitive and psychomotor studies, and pertinent state and federal laws and policies were reviewed. These search results revealed that marijuana use is associated with significant cognitive and psychomotor effects. In addition, the legalization of marijuana varies from state to state, as do the laws pertaining to driving under the influence of drugs. Marijuana is a commonly found illicit substance in motor vehicle operators driving under the influence of drugs. Current evidence shows that blood levels of tetrahydrocannabinol do not correlate well with the level of impairment. In addition, although acute infrequent use of cannabis typically leads to cognitive and psychomotor impairment, this is not consistently the case for chronic heavy use. To establish the framework for driving under the influence of cannabis policy, we must review the current published evidence and examine existing policy at state and federal levels.

Background: Low back pain is the leading cause of years lost to disability with approximately 15%-25% of the chronic back pain population suffering from lumbar facet arthropathy. No large-scale study has sought to systematically identify inciting events for lumbar facet arthropathy. The aim of this study is to quantify the proportion of individuals with lumbar facetogenic pain who report a specific precipitating event(s) and to determine if there is a correlation between these events and treatment outcome., Methods: Institutional electronic medical records were searched based on the current procedural terminology (CPT) codes representing lumbar facet joint radiofrequency ablation for procedures performed between January 2007 and December 2015. All patients had obtained ≥50% pain relief based on 6-hour pain diaries after 1 or more diagnostic facet blocks. A positive outcome was defined as ≥50% pain relief sustained for longer than 3-month after procedure, without additional procedural interventions., Results: One thousand sixty-nine people were included in analysis. In the 52% of individuals who described an inciting event, the most commonly reported causes were falls (11%), motor vehicle collisions (11%), sports-related injuries (11%, of which weightlifting accounted for 62%), nonspine postsurgical injuries (2%), and "other" (17%). Six hundred seventeen (57.7%) individuals experienced ≥50% pain relief sustained for >3 months. Patients whose pain was preceded by an inciting event were more likely to have a positive outcome than those who could not recall a specific precipitating factor (odds ratio, 1.5; confidence interval, 1.02-2.1, P = .01). Another factor associated with outcome was shorter duration of pain (8.1 ± 9.2 vs 9.7 ± 10.1 years, P = .02), with an observed modifier effect of age on outcomes. For a 1-year increase in age, there was a 10% increase in the odds of a positive response., Conclusions: Inciting events are common in patients diagnosed with lumbar facetogenic pain and may be associated with a positive outcome.

Background: Interventional pain treatment centers represent an integral part of interdisciplinary care. Barriers to effective treatment include access to care and financial issues related to pain clinic operations. To address these challenges, specialty clinics have taken steps to identify and remedy missed clinic appointments. However, no prospective study has sought to identify factors associated with pain clinic "no-shows.", Methods: We performed a prospective, longitudinal year-long study in an inner-city, academic pain clinic in which patients scheduled for office visits and procedures were categorized as to whether they showed up or did not show up for their scheduled appointment without cancelling the day before. Twenty demographic (age, employment status), clinical (eg, diagnosis, duration of pain), and environmental (season, time and day of appointment) variables were assessed for their association with missing an appointment. The logistic regression model predicting no-shows was internally validated with crossvalidation and bootstrapping methods. A predictive nomogram was developed to display effect size of predictors for no-shows., Results: No-show data were collected on 5134 patients out of 5209 total appointments for a capture rate of 98.6%. The overall no-show rate was 24.6% and was higher in individuals who were young (<65 years), single, of ethnic minority background, received Medicare/Medicaid, had a primary diagnosis of low back pain or headaches, were seen on a day with rain or snow or for an initial consult, and had at least 1 previous pain provider. Model discrimination (area under curve) was 0.738 (99% confidence interval, 0.70-0.85). A minimum threshold of 350 points on the nomogram predicted greater than 55% risk of no-shows., Conclusions: We found a high no-show rate, which was associated with predictable and unpredictable (eg, snow) factors. Steps to reduce the no-show rate are discussed. To maximize access to care, operation managers should consider a regression model that accounts for patient-level risk of predictable no-shows. Knowing the patient level, no-show rate can potentially help to optimize the schedule programming by staggering low- versus high-probability no-shows.

Singultus are rare but notable adverse effect of epidural steroid injections (ESIs). To date, reports of persistent hiccups associated with ESIs have been reported mostly in adults aged 65 years or older. We present the first case of persistent hiccups in a septuagenarian who underwent repeated transforaminal ESIs for chronic lumbar radiculopathy. Under fluoroscopic guidance, 1.5 mL of 1% lidocaine (preservative free) and 0.8 mL of dexamethasone solution (10 mg/mL) was injected into the bilateral L4-L5 neural foramen and epidural space.After the first epidural injection, episodes of singultus occurred at a frequency of 5 to 7 episodes per minute and lasted for 36 hours. One month later, he was treated with the second epidural injection after which he immediately developed singultus, occurring at 2- to 3-hour intervals. Interventions for the singultus included drinking small sips of water, vagal maneuvers, and oropharyngeal stimulation with ice chips. The singultus eventually resolved without medical intervention within 5 days of onset. A major take-home point is that preprocedure informed consent should include singultus as one of the potential adverse effects of ESIs. Increased awareness and appropriate planning may help curb the incidence of adverse outcomes in older adults undergoing ESI.

Objective: The aims of this study were to design patient-oriented risk models that elucidate the interactions among depressive symptoms, physical function, and sociodemographic markers and delineate the association of these indicators with 30-day readmissions., Design: This prospective longitudinal study examined readmissions within 30 days of an index operation among adults (>18 yrs) undergoing outpatient surgery. The primary exposures were measures of physical function, depression, and sociodemographic factors. Multivariable logistic regression and hierarchical generalized linear mixed models with fixed and random effects tested interactions and association of these factors with 30-day readmissions., Results: Adjusting for covariates and interaction terms, depressive symptoms (adjusted odds ratio, 2.50; 95% confidence interval, 1.45-4.29) and low physical function (adjusted odds ratio, 1.68; 95% confidence interval, 1.15-2.13) increased the odds of 30-day readmissions. Stratified by socioeconomic status (SES), those in the lowest SES group with depressive symptoms had a 73% increase in probability of readmissions (adjusted odds ratio, 2.67; 95% confidence interval, 1.10-4.07). Stratified by depressive symptom severity, being married or having a life partner lowered the readmission odds (adjusted odds ratio, 0.52; 95% confidence interval, 0.31-0.88). Final models had good discrimination and fitness (area under the curve, 0.710; corrected Akaike Information Criterion, 541.1)., Conclusions: Within 30 days of index surgery, depressive symptom severity moderated the association of sociodemographic, social support and physical function indicators with 30-day readmissions.

Objective: The primary aims of this study were to design prediction models based on a functional marker (preoperative gait speed) to predict readiness for home discharge time of 90 mins or less and to identify those at risk for unplanned admissions after elective ambulatory surgery., Design: This prospective observational cohort study evaluated all patients scheduled for elective ambulatory surgery. Home discharge readiness and unplanned admissions were the primary outcomes. Independent variables included preoperative gait speed, heart rate, and total anesthesia time. The relationship between all predictors and each primary outcome was determined in separate multivariable logistic regression models., Results: After adjustment for covariates, gait speed with adjusted odds ratio of 3.71 (95% confidence interval, 1.21-11.26), P = 0.02, was independently associated with early home discharge readiness of 90 mins or less. Importantly, gait speed dichotomized as greater or less than 1 m/sec predicted unplanned admissions, with odds ratio of 0.35 (95% confidence interval, 0.16-0.76, P = 0.008) for those with speeds 1 m/sec or greater in comparison with those with speeds less than 1 m/sec. In a separate model, history of cardiac surgery with adjusted odds ratio of 7.5 (95% confidence interval, 2.34-24.41; P = 0.001) was independently associated with unplanned admissions after elective ambulatory surgery, when other covariates were held constant., Conclusions: This study demonstrates the use of novel prediction models based on gait speed testing to predict early home discharge and to identify those patients at risk for unplanned admissions after elective ambulatory surgery.