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e22500 Background: Oncologists are change agents to improve tobacco cessation among patients. As part of the National Cancer Institute Cancer Center Cessation Initiative, we established an electronic health record (EHR, Epic)-based "opt-out" approach to refer patients to tobacco treatment specialist without active involvement by oncologists. However, the role of oncologists in contributing to the “opt-out” approach to patients has not been explored. We tested the hypothesis that a multi-component educational program for oncologists would increase the proportion of patients who completed tobacco treatment appointments. Methods: As a quality improvement initiative, oncology providers at the Rochester Mayo Clinic Cancer Center were educated using a multimodal academic detailing approach with group and individual educational sessions. Its effectiveness was tested using a modified step-wedge implementation design. The primary outcomes were patient behaviors that could plausibly be changed by conversations with their provider: the rate at which cancer patients identified as current tobacco users scheduled an appointment in the Nicotine Dependence Center (NDC) (which required active patient involvement), and the rate at which patients scheduled for a NDC appointment completed their appointment. Comparisons were made before, during, and after the education period (from July through Dec 2019) and with a separate group of providers who did not complete education (results examined over a similar time period). Results: Education did not improve outcomes in providers who received education; indeed, the rate of appointment scheduling decreased, although this may reflect other concurrent changes in the referral process (Table). Outcomes were similar between providers who did and did not receive education. Conclusions: Tobacco cessation efforts should be routinely integrated into cancer care to improve outcomes. The “opt-out” program resulted in approximately 1 in 5 cancer patients being seen for tobacco use, but an academic detailing approach designed to equip oncology providers to encourage their patients to complete appointments was not effective. Other approaches are needed to increase the uptake of tobacco treatment in these patients. [Table: see text]

Abstract Introduction We determined whether a tobacco cessation intervention targeting brief perioperative abstinence (“quit for a bit”) increased engagement of surgical patients with treatment compared with an intervention targeting long-term postoperative abstinence (“quit for good”). Aims and Methods Surgical patients who smoke were stratified according to intended duration of postoperative abstinence, and then randomized within strata to receive either a “quit for a bit” or a “quit for good” intervention. Both employed initial brief counseling and short message service (SMS) to deliver treatment up to 30 days after surgery. The primary outcome of treatment engagement was defined as the rate at which subjects actively responded to system requests delivered via SMS. Results The engagement index did not differ between intervention groups (median [25th, 75th] of 23.7% [8.8, 46.0] for “quit for a bit” group (n = 48) and 22.2% [4.8, 46.0] for “quit for good” group (n = 50), p = .74), nor did the proportion of patients continuing SMS use after study completion (33% and 28%, respectively). Exploratory abstinence outcomes on the morning of surgery and 7 and 30 days after surgery did not differ between groups. Program satisfaction was high in both groups and did not differ. There was no significant interaction between intended abstinence duration and any outcome, ie, alignment of intent with intervention did not affect engagement. Conclusions Tobacco cessation treatment delivered via SMS was well accepted by surgical patients. Tailoring an SMS intervention to focus on the benefits of short-term abstinence for surgical patients did not increase engagement in treatment or perioperative abstinence rates. Implications Treatment of surgical patients for tobacco use is efficacious and reduces postoperative complications. However, implementation in clinical practice has proved challenging, and new methods of engaging these patients in cessation treatment are needed. We found that tobacco use treatment delivered via SMS was feasible and well utilized by surgical patients. Tailoring an SMS intervention to focus on the benefits of short-term abstinence for surgical patients did not increase engagement in treatment or perioperative abstinence rates. Clinical Trial Number NCT03839043. Registry URL: https://clinicaltrials.gov/ct2/show/NCT03839043

Although the harmful effects of smoking after a cancer diagnosis have been clearly demonstrated, many patients continue to smoke cigarettes during treatment and beyond. The NCCN Guidelines for Smoking Cessation emphasize the importance of smoking cessation in all patients with cancer and seek to establish evidence-based recommendations tailored to the unique needs and concerns of patients with cancer. The recommendations contained herein describe interventions for cessation of all combustible tobacco products (eg, cigarettes, cigars, hookah), including smokeless tobacco products. However, recommendations are based on studies of cigarette smoking. The NCCN Smoking Cessation Panel recommends that treatment plans for all patients with cancer who smoke include the following 3 tenets that should be done concurrently: (1) evidence-based motivational strategies and behavior therapy (counseling), which can be brief; (2) evidence-based pharmacotherapy; and (3) close follow-up with retreatment as needed.

Abstract Opioids are frequently prescribed to alleviate pain symptoms in older adults, yet the relationships between prescription opioid availability and long-term cognitive function are incompletely defined. We evaluated the associations between prescription opioid availability and neuropsychological function and incident mild cognitive impairment (MCI) by performing a secondary analysis of the Mayo Clinic Study of Aging (MCSA), a longitudinal population-based observational cohort study with participants enrolled between 11/1/2004 and 4/1/2019 aged 65 years or older at the time of enrollment and without dementia. A total of 4,218 participants (51% male) were included with median age of 76 (interquartile range 72, 82) years. In multivariable analyses, each receipt of an opioid prescription, regardless of duration, resulted in an additional -0.007 (95% CI: -0.009, -0.005) change in global cognitive z-score (p< 0.001), with significant effects seen in the domains of memory (-0.005, 95% CI: -0.007, -0.003; p< 0.001), language (-0.002, 95% CI -0.003, 0.000; p=0.024) and attention (-0.004, 95% CI: -0.006, -0.002; p< 0.001) but not visual-spatial function (0.000, 95% CI: -0.001, 0.001; p=0.897). Among 2,963 cognitively unimpaired subjects with longitudinal follow-up, 769 (26%) developed incident MCI. Receipt of any opioid prescription during follow-up was associated with incident MCI in adjusted analysis (hazard ratio 1.21, 95% CI: 1.04, 1.42; p=0.014). In conclusion, prescription opioid availability was associated with cognitive decline across multiple domains and with incident MCI. These findings suggest that prescription opioid availability may have long-term effects on cognitive function.

Tobacco use will kill a projected 1 billion people in the 21st century in one of the deadliest pandemics in history. Tobacco use disorder is a disease with a natural history, pathophysiology, and effective treatment options. Anesthesiologists can play a unique role in fighting this pandemic, providing both immediate (reduction in perioperative risk) and long-term (reduction in tobacco-related diseases) benefits to their patients who are its victims. Receiving surgery is one of the most powerful stimuli to quit tobacco. Tobacco treatments that combine counseling and pharmacotherapy (e.g., nicotine replacement therapy) can further increase quit rates and reduce risk of morbidity such as pulmonary and wound-related complications. The perioperative setting provides a great opportunity to implement multimodal perianesthesia tobacco treatment, which combines multiple evidence-based tactics to implement the four core components of consistent ascertainment and documentation of tobacco use, advice to quit, access to pharmacotherapy, and referral to counseling resources.

Abstract Background Opioids are frequently prescribed to alleviate pain in older adults, yet the relationships between prescription opioids and long‐term cognitive function are unclear. Methods In this analysis of the Mayo Clinic Study of Aging, a longitudinal population‐based cohort study of older adults with formal neuropsychological testing and cognitive evaluations performed every 15 months, the associations between prescription opioids, global and domain‐specific cognitive function, and mild cognitive impairment were evaluated through time‐dependent linear mixed effects and Cox proportional hazards models. Results Four thousand two hundred eighteen participants (51% male) were included with enrollment between 11/1/2004 and 4/1/2019 and median age of 76 (interquartile range 72, 82) years. Two thousand nine hundred seventy‐seven subjects (71%) received at least 1 opioid prescription during a median follow‐up of 7.5 (5.0, 10.7) years. Overall, there was an estimated 0.096 reduction in the global cognitive Z ‐score per year, including decreases of 0.050 in memory, 0.080 in language, 0.044 in visual–spatial cognition, and 0.112 in attention. In multivariable analyses, each receipt of an opioid prescription resulted in an additional −0.007 (95% CI −0.009, −0.005) change in global cognitive Z ‐score ( p < 0.001), with significant effects seen in the domains of memory (−0.005, 95% CI −0.007, −0.003; p < 0.001), language (−0.002, 95% CI −0.003, 0.000; p = 0.024) and attention (−0.004, 95% CI −0.006, −0.002; p < 0.001) but not visual–spatial function (0.000, 95% CI −0.001, 0.001; p = 0.897). Opioid prescriptions were associated with incident mild cognitive impairment (MCI) in adjusted analysis (hazard ratio 1.21, 95% CI 1.04, 1.42; p = 0.014). Conclusion Prescription opioids are associated with small but statistically significant declines in long‐term cognitive function in older adults, which may represent effects of opioids or other related factors.

AbstractChronic pain is highly prevalent in older adults and is associated with poor functional outcomes. Furthermore, opioid analgesics are commonly utilized for the treatment of pain in older adults despite well-described adverse effects. Importantly, both chronic pain and opioid analgesics have been linked with impairments in cognitive function, though data are limited. In this manuscript we summarize the evidence and critical knowledge gaps regarding the relationships between pain, opioid analgesics, and cognition in older adults. Furthermore, we provide a conceptual framework to guide future research in the development, implementation, and evaluation of strategies to optimize analgesic outcomes in older adults while minimizing deleterious effects on cognition.

Abstract Introduction Continued cigarette smoking is a critical determinant of outcome in oncology patients, but how the separate events of cancer diagnosis, cancer treatment, and completion of treatment affect smoking behavior in cancer survivors is unknown. This study described such changes, hypothesizing that they would be more pronounced for smoking-related cancers. Methods The Cancer Patient Tobacco Use Questionnaire (CTUQ) was sent to every cancer patient ≥ 18 y old scheduled for outpatient visits at the Mayo Clinic Cancer Center with a current or former history of tobacco use. Results From September 2019 to September 2020, 33,831 patients received the CTUQ, and 20,818 (62%) responded. Of the 3007 current smokers analyzed, 34% quit at diagnosis; those with smoking-related cancers were more likely to quit (40% vs. 29%, respectively, p &lt; .001). Among those who did not quit at diagnosis, 31% quit after starting cancer treatment, and those with smoking-related cancers were more likely to quit (35% and 28%, respectively, p = .002) Among those who had quit before the completion of treatment, 13% resumed smoking after treatment ended. In multivariable analysis, patients with smoking-related cancers were more likely to report 30-d point prevalence abstinence from pre-diagnosis to the completion of treatment (adjusted OR 1.98 [95% CI 1.65, 2.36], p &lt; .001). Conclusions Both cancer diagnosis and treatment prompt smoking abstinence, with most maintaining abstinence after treatment is completed. Those with smoking-related cancers are more likely to quit. These results emphasize the need to provide access to tobacco treatment services that can further support cancer patients who smoke. Implications Approximately one-third of cancer patients who smoke quit smoking at the time of diagnosis, an additional one-third of patients who had not yet quit did so at the initiation of treatment, and most sustained this abstinence after treatment completion. Patients with smoking-related cancers are more likely to quit. Thus, there are multiple opportunities within the cancer care continuum to intervene and support quit attempts or continued abstinence.

AbstractBackgroundHospitalization in older age is associated with accelerated cognitive decline, typically preceded by neuropathologic changes. We assess the association between indication for hospitalization and brain neurodegeneration.MethodsIncluded were participants from the Mayo Clinic Study of Aging, a population-based longitudinal study, with ≥1 brain imaging available in those older than 60 years of age between 2004 and 2017. Primary analyses used linear mixed-effects models to assess association of hospitalization with changes in longitudinal trajectory of cortical thinning, amyloid accumulation, and white matter hyperintensities (WMH). Additional analyses were performed with imaging outcomes dichotomized (normal vs abnormal) using Cox proportional hazards regression.ResultsOf 2 480 participants, 1 966 had no hospitalization and 514 had ≥1 admission. Hospitalization was associated with accelerated cortical thinning (annual slope change −0.003 mm [95% confidence interval (CI) −0.005 to −0.001], p = .002), but not amyloid accumulation (0.003 [95% CI −0.001 to 0.006], p = .107), or WMH increase (0.011 cm3 [95% CI −0.001 to 0.023], p = .062). Interaction analyses assessing whether trajectory changes are dependent on admission type (medical vs surgical) found interactions for all outcomes. While surgical hospitalizations were not, medical hospitalizations were associated with accelerated cortical thinning (−0.004 mm [95% CI −0.008 to −0.001, p = .014); amyloid accumulation (0.010, [95% CI 0.002 to 0.017, p = .011), and WMH increase (0.035 cm3 [95% CI 0.012 to 0.058, p = .006). Hospitalization was not associated with developing abnormal cortical thinning (p = .407), amyloid accumulation (p = .596), or WMH/infarctions score (p = .565).ConclusionsMedical hospitalizations were associated with accelerated cortical thinning, amyloid accumulation, and WMH increases. These changes were modest and did not translate to increased risk for crossing the abnormality threshold.