The power and pitfalls of underpowered studies.

This article reflects on the potential value and many pitfalls of underpowered studies to help authors and readers consider whether and how they contribute meaningfully to the published literature. A basic introduction to power and sample size calculations is provided. Several problems that can arise in analysis and publication of underpowered studies are described. In addition, features of underpowered studies that may provide value are proposed, including when the hypothesis test of interest is a limited part of the story, the data is rich enough to showcase interesting features of the population of interest, when the rarity or ubiquity of events is an important finding, and when the study is preregistered to reduce the impact of publication bias. Several reporting guidelines for underpowered studies are also suggested.

Examining the effect of prescription drug monitoring program integration and mandatory use policies on the distribution of methadone and buprenorphine for opioid use disorder, United States, 2009-2021.

BACKGROUND: Prescription drug monitoring programs (PDMPs) have been shown to reduce opioid prescribing for pain, but it is not well understood whether PDMPs influence utilization of medications for opioid use disorder. PDMP integration and mandatory use policies are two approaches implemented by states to increase use of PDMPs by prescribers. This study examined the effect of these approaches on distribution of methadone and buprenorphine from 2009 to 2021 for 50 states and DC. METHODS: The effect of PDMP integration and mandatory use policies on four outcomes (distribution of buprenorphine to opioid treatment programs, distribution of buprenorphine to pharmacies, distribution of methadone to opioid treatment programs, and the total combined distribution of methadone and buprenorphine) was estimated using a Callaway and Sant'Anna difference-in-differences model, controlling for co-occurring opioid-related state policies. RESULTS: Distribution of buprenorphine to pharmacies decreased 8 % (95 % CI -14 %, -1 %) following implementation of mandatory use policies. Distribution of methadone to opioid treatment programs increased 17 % (95 % CI 4 %, 34 %) and the total combined distribution of methadone and buprenorphine increased 6 % (95 % CI -0 %, 14 %) following the joint implementation of both approaches. CONCLUSION: Distribution of methadone and buprenorphine has increased since 2009, but less than a quarter of people with opioid use disorder currently receive these medications. We observed a small net benefit of PDMP integration and mandatory use policies on distribution of methadone and buprenorphine. Policymakers should continue to assess the impact of PDMPs on access to medications for opioid use disorder and consider additional approaches to increase access to treatment.

Factors Influencing Discharges to Hospice for Patients With Late-Stage Huntington's Disease.

Background: Hospice services for patients with Huntington's disease (HD) are likely beneficial in relieving significant burdens and minimizing costly hospitalizations at the end of life, though there has been little study or clinical guidance on hospice enrollment for patients with HD. Objectives: The primary objective of this study was to identify clinical, sociodemographic, and system-level factors associated with discharges to hospice compared to other dispositions for hospitalized patients with late-stage HD. Methods: These analyses used data from the Nationwide Inpatient Sample between the years 2007 and 2011. Weighted logistic regression with a forward selection approach was performed to identify factors associated with discharge to hospice compared to discharge to home, facility, other locations, and death in hospital. Results: These analyses included 6544 hospitalizations of patients with late-stage HD. There was a significant increasing trend in discharges to hospice over the study period (P < 0.001). After adjustment, multiple clinical, sociodemographic, and system-level variables were identified as being associated with discharges to hospice. Patients with aspiration pneumonia and non-aspiration pneumonias had lower odds of being discharged to hospice compared to dying in the hospital. When comparing to discharges to facilities and home, weight loss and palliative care consultation were associated with greater odds of discharge to hospice. Conclusions: Our findings serve as a foundation for future studies on these factors, and thus help clinician decision-making on when to start advance care planning or end-of-life care for patients with HD. These results also support studies developing hospice referral criteria specific to patients with HD.

State-level factors associated with implementation of prescription drug monitoring program integration and mandatory use policies, United States, 2009-2020.

BACKGROUND: Prescription drug monitoring programs (PDMPs) have been widely adopted as a tool to address the prescription opioid epidemic in the United States. PDMP integration and mandatory use policies are 2 approaches states have implemented to increase use of PDMPs by prescribers. While the effectiveness of these approaches is mixed, it is unclear what factors motivated states to implement them. This study examines whether opioid dispensing, adverse health outcomes, or other non-health-related factors motivated implementation of these PDMP approaches. METHODS: Time-to-event analysis was performed using lagged state-year covariates to reflect values from the year prior. Extended Cox regression estimated the association of states' rates of opioid dispensing, prescription opioid overdose deaths, and neonatal opioid withdrawal syndrome with implementation of PDMP integration and mandatory use policies from 2009 to 2020, controlling for demographic and economic factors, state government and political factors, and prior opioid policies. RESULTS: In our main model, prior opioid dispensing (HR 2.31, 95% CI 1.17, 4.57), neonatal opioid withdrawal syndrome hospitalizations (HR 1.55, 95% CI 1.09, 2.19), and number of prior opioid policies (HR 2.13, 95% CI 1.13, 4.00) were associated with mandatory use policies. Prior prescription opioid overdose deaths (HR 1.21, 95% CI 1.08, 1.35) were also associated with mandatory use policies in a model that did not include opioid dispensing or neonatal opioid withdrawal syndrome. No study variables were associated with implementation of PDMP integration. CONCLUSION: Understanding state-level factors associated with implementing PDMP approaches can provide insights into factors that motivate the adoption of future public health interventions.

A Nationwide Emergency Department Data Analysis to Predict Beers List Medications Use Among Older Adults.

BACKGROUND: The use of potentially inappropriate medications (PIMs) is considered an important quality indicator for older adults seen in the ambulatory care setting. STUDY OBJECTIVES: To evaluate the pattern of potentially inappropriate medication (PIMs) use as specified in the Beers Criteria, for older adults during emergency department (ED) visits in the United States. METHODS: Using data from the National Hospital Ambulatory Care Survey (NHAMCS) we identified older adults (age 65 or older) discharged home from an ED visit in 2019. We defined PIMs as those with an 'avoid' recommendation under the American Geriatrics Society (AGS) 2019 Beers Criteria in older adults. Logistic regression models were used to assess demographic, clinical, and hospital factors associated with the use of any PIMs upon ED discharge. RESULTS: Overall, 5.9% of visits by older adults discharged from the ED included administration or prescriptions for PIMs. Among those who received any PIMs, 25.5% received benzodiazepines, 42.5 % received anticholinergics, 1.4% received nonbenzodiazepine hypnotics, and 0.5% received barbiturates. A multivariable model showed statistically significant associations for age 65 to 74 (OR 1.91, 95% CI 1.39-2.62 vs. age >=75), dementia (OR 0.45, 95% CI 0.21-0.95), lower immediacy (OR 2.45, 95% CI 1.56-3.84 vs. higher immediacy), and Northeastern rural region (OR 0.34, 95% CI 0.21-0.55 vs. Midwestern rural). CONCLUSION: We found that younger age and lower immediacy were associated with increased prescriptions of PIMs for older adults seen, while dementia and Northeastern rural region was associated with reduced use of PIMs seen and discharged from EDs in United States.

Guideline-concordant breast cancer care by patient race and ethnicity accounting for individual-, facility- and area-level characteristics: a SEER-Medicare study.

PURPOSE: To examine racial-ethnic variation in adherence to established quality metrics (NCCN guidelines and ASCO quality metrics) for breast cancer, accounting for individual-, facility-, and area-level factors. METHODS: Data from women diagnosed with invasive breast cancer at 66+ years of age from 2000 to 2017 were examined using SEER-Medicare. Associations between race and ethnicity and guideline-concordant diagnostics, locoregional treatment, systemic therapy, documented stage, and oncologist encounters were estimated using multilevel logistic regression models to account for clustering within facilities or counties. RESULTS: Black and American Indian/Alaska Native (AIAN) women had consistently lower odds of guideline-recommended care than non-Hispanic White (NHW) women (Diagnostic workup: ORBlack 0.83 (0.79-0.88), ORAIAN 0.66 (0.54-0.81); known stage: ORBlack 0.87 (0.80-0.94), ORAIAN 0.63 (0.47-0.85); seeing an oncologist: ORBlack 0.75 (0.71-0.79), ORAIAN 0.60 (0.47-0.72); locoregional treatment: ORBlack 0.80 (0.76-0.84), ORAIAN 0.84 (0.68-1.02); systemic therapies: ORBlack 0.90 (0.83-0.98), ORAIAN 0.66 (0.48-0.91)). Commission on Cancer accreditation and facility volume were significantly associated with higher odds of guideline-concordant diagnostics, stage, oncologist visits, and systemic therapy. Black residential segregation was associated with significantly lower odds of guideline-concordant locoregional treatment and systemic therapy. Rurality and area SES were associated with significantly lower odds of guideline-concordant diagnostics and oncologist visits. CONCLUSIONS: This is the first study to examine guideline-concordance across the continuum of breast cancer care from diagnosis to treatment initiation. Disparities were present from the diagnostic phase and persisted throughout the clinical course. Facility and area characteristics may facilitate or pose barriers to guideline-adherent treatment and warrant future investigation as mediators of racial-ethnic disparities in breast cancer care.

COVID-19 Pandemic Impact on the Trajectories of Cognitive Decline and Depression Symptoms in Long-Term Care Facility Residents.

OBJECTIVES: To compare the longitudinal rates of change in cognition and depressive symptoms between 2019 (pre-COVID-19 pandemic) and 2020 (COVID-19 pandemic) among long-term care facility (LTCF) residents in Iowa, which ranked among the top 10 US states that suffered from extreme nursing staff shortages during this crisis. DESIGN: A longitudinal cohort study analyzing the Long-Term Care Minimum Data Set (MDS) version 3.0 between January 1, 2019, and December 31, 2020. SETTING AND PARTICIPANTS: LTCF residents from the state of Iowa, with a first assessment before March 10 for each year (2019 and 2020), LTCF stay period >60 days, and at least 2 documented assessments with a minimum of 45 days in between. LTCF residents with a Brief Interview for Mental Status score (BIMS) <3 were excluded. METHODS: We computed doubly robust estimators by combining regression and propensity score models for BIMS (cognitive decline) and Nine-item Patient Health Questionnaire (PHQ-9; depression symptoms) monthly scores for 2020 vs 2019. RESULTS: A total of 24,025 residents from 436 LTCFs were included. Our research revealed a marginally accelerated monthly decline in BIMS scores during 2020 as opposed to 2019, with a rate of -0.012 per month (95% CI -0.022, -0.002; P = .016). Simultaneously, we observed a monthly increment of 0.016 in the PHQ-9 scores among LTCF residents in 2020 (95% CI 0.006, 0.028; P = .003). CONCLUSIONS AND IMPLICATIONS: Our study identified a notable yet modest increase in cognitive decline and depressive symptoms among NH residents in Iowa during the COVID-19 pandemic. Although statistically significant, the changes were small and may not have clinical relevance over 1 year. Further research is needed to examine risk factors for cognitive decline during pandemic scenarios such as social isolation, loneliness, inappropriate patient-centered care, and the relationship with staff shortage and facility resources.

The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem.

IMPORTANCE: This manuscript will be of interest to most Clinical and Translational Science Awards (CTSA) as they retool for the increasing emphasis on translational science from translational research. This effort is an extension of the EDW4R work that most CTSAs have done to deploy infrastructure and tools for researchers to access clinical data. OBJECTIVES: The Iowa Health Data Resource (IHDR) is a strategic investment made by the University of Iowa to improve access to real-world health data. The goals of IHDR are to improve the speed of translational health research, to boost interdisciplinary collaboration, and to improve literacy about health data. The first objective toward this larger goal was to address gaps in data access, data literacy, lack of computational environments for processing Personal Health Information (PHI) and the lack of processes and expertise for creating transformative datasets. METHODS: A three-pronged approach was taken to address the objective. The approach involves integration of an intercollegiate team of non-informatics faculty and staff, a data enclave for secure patient data analyses, and novel comprehensive datasets. RESULTS: To date, all five of the health science colleges (dentistry, medicine, nursing, pharmacy, and public health) have had at least one staff and one faculty member complete the two-month experiential learning curriculum. Over the first two years of this project, nine cohorts totaling 36 data liaisons have been trained, including 18 faculty and 18 staff. IHDR data enclave eliminated the need to duplicate computational infrastructure inside the hospital firewall which reduced infrastructure, hardware and human resource costs while leveraging the existing expertise embedded in the university research computing team. The creation of a process to develop and implement transformative datasets has resulted in the creation of seven domain specific datasets to date. CONCLUSION: The combination of people, process, and technology facilitates collaboration and interdisciplinary research in a secure environment using curated data sets. While other organizations have implemented individual components to address EDW4R operational demands, the IHDR combines multiple resources into a novel, comprehensive ecosystem IHDR enables scientists to use analysis tools with electronic patient data to accelerate time to science.

Patterns of Evidence-Based Care for the Diagnosis, Staging, and First-line Treatment of Breast Cancer by Race-Ethnicity: A SEER-Medicare Study.

BACKGROUND: Racial and ethnic disparities in guideline-recommended breast cancer treatment are well documented, however studies including diagnostic and staging procedures necessary to determine treatment indications are lacking. The purpose of this study was to characterize patterns in delivery of evidence-based services for the diagnosis, clinical workup, and first-line treatment of breast cancer by race-ethnicity. METHODS: SEER-Medicare data were used to identify women diagnosed with invasive breast cancer between 2000 and 2017 at age 66 or older (n = 2,15,605). Evidence-based services included diagnostic procedures (diagnostic mammography and breast biopsy), clinical workup (stage and grade determination, lymph node biopsy, and HR and HER2 status determination), and treatment initiation (surgery, radiation, chemotherapy, hormone therapy, and HER2-targeted therapy). Poisson regression was used to estimate rate ratios (RR) and 95% confidence intervals (CI) for each service. RESULTS: Black and American Indian/Alaska Native (AIAN) women had significantly lower rates of evidence-based care across the continuum from diagnostics through first-line treatment compared to non-Hispanic White (NHW) women. AIAN women had the lowest rates of HER2-targeted therapy and hormone therapy initiation. While Black women also had lower initiation of HER2-targeted therapy than NHW, differences in hormone therapy were not observed. CONCLUSIONS: Our findings suggest patterns along the continuum of care from diagnostic procedures to treatment initiation may differ across race-ethnicity groups. IMPACT: Efforts to improve delivery of guideline-concordant treatment and mitigate racial-ethnic disparities in healthcare and survival should include procedures performed as part of the diagnosis, clinical workup, and staging processes.

Fracture risk and opioid use in patients aged 17-64 years: An analysis of administrative claims data.

STUDY OBJECTIVE: The objective of this work is to describe the risk of fracture in adults aged 17 to 64 years across categories of daily opioid dose. DESIGN: A retrospective analysis of insurance claims data. DATA SOURCE: Information from a private health insurance provider for the years 2003-2014 for enrolled individuals living in Iowa. PATIENTS: Patients who were aged 17 to 64 years and prescribed an opioid were followed for the length of opioid treatment plus 30 days to determine whether a fracture occurred. MEASUREMENTS: Average daily morphine milligram equivalent (MME) was determined for patients who received a prescription for opioids. The outcome of interest was incident fracture following opioid treatment initiation. Cox proportional hazard models were used to compare the risk of fracture across categorical groups of average daily MME. Inverse probability weighting was used to control for patient-level variables. MAIN RESULTS: In total, 316,024 individual patients were identified in the administrative claims data as having an opioid prescription from 2003 to 2014, and 3038 fractures occurred during follow-up (9.6 fractures per 1000 opioid-prescribed patients). Relative to the lowest quartile of prescribed opioid (⟨22 MME), patients in each higher prescribed level were more likely to experience a fracture (22-36 MME Hazard Ratio (HR) = 1.35, 95% Confidence Interval (CI): 1.21-1.51; 37-50 MME HR = 1.38, 95% CI: 1.24-1.54; ⟩50 MME HR = 1.35, 95% CI: 1.20-1.52). CONCLUSIONS: We observed an increased fracture risk in all three higher categories of opioid exposure relative to the lowest category (⟨22 MME). The risk of a fracture should be considered in opioid treatment decisions.

Predictors of Survival After Emergent Surgical Decompression for Acutely Presenting Spinal Metastasis.

BACKGROUND: Metastatic spinal tumors represent 90% of spinal masses and present variably with slow progression and/or rapid symptomatic worsening. Several prognostic scoring systems have been proposed. However, patients presenting acutely and requiring emergent surgery represent a unique subset of patients with different prognostic indicators. METHODS: All cases of symptomatic spinal metastases requiring emergent surgery between 2010 and 2021 at our institution were retrospectively reviewed. Survival time from date of surgery to death or last follow-up was calculated. Patients were stratified on the basis of survival for more or less than 6 months after surgery. Multivariate logistic regression was used to develop a model predicting probability of mortality at 6 months. RESULTS: Forty-four patients satisfied inclusion criteria. Mean age at presentation was 60.4 ± 11.8 years with a median survival time of 6.5 [1.9-19.5 interquartile range] months. On univariate analysis, higher Tokuhashi score, Karnofksy performance scale (KPS), and lower modified McCormick scale were significantly associated with 6-month survival (P = 0.018, P < 0.001, P = 0.002, respectively). Preoperative American Spinal Injury Association grade and Spine Instability Neoplastic Score scores were not associated with survival. Multivariate analysis found KPS significantly correlated with survival (0.91 odds ratio, 0.85-0.98, 95% confidence interval, P = 0.011) at 6 months and that a stepwise regression model derived from KPS and Tokuhashi score demonstrated the highest predictive accuracy for 6-month survival (area under the curve = 0.843, Akaike information criterion = 37.1, P = 0.0039). CONCLUSIONS: KPS and Tokuhashi scores most strongly correlated with 6-month survival in patients presenting with acutely symptomatic spinal metastases. These findings underscore the importance of baseline functional status and overall tumor burden on survival and may be useful in preoperative evaluation and surgical decision making for acutely presenting spinal metastases.

Factors Associated With Receipt of Molecular Testing and its Impact on Time to Initial Systemic Therapy in Metastatic Non-Small Cell Lung Cancer.

BACKGROUND: Despite recommendations for molecular testing irrespective of patient characteristics, differences exist in receipt of molecular testing for oncogenic drivers amongst metastatic non-small cell lung cancer (mNSCLC) patients. Exploration into these differences and their effects on treatment is needed to identify opportunities for improvement. PATIENTS AND METHODS: We conducted a retrospective cohort study of adult patients diagnosed with mNSCLC between 2011 and 2018 using PCORnet's Rapid Cycle Research Project dataset (n = 3600). Log-binomial, Cox proportional hazards (PH), and time-varying Cox regression models were used to ascertain whether molecular testing was received, and time from diagnosis to molecular testing and/or initial systemic treatment in the context of patient age, sex, race/ethnicity, and multiple comorbidities status. RESULTS: The majority of patients in this cohort were ≤ 65 years of age (median [25th, 75th]: 64 [57, 71]), male (54.3%), non-Hispanic white individuals (81.6%), with > 2 comorbidities in addition to mNSCLC (54.1%). About half the cohort received molecular testing (49.9%). Patients who received molecular testing had a 59% higher probability of initial systemic treatment than patients who were yet to receive testing. Multiple comorbidity status was positively associated with receipt of molecular testing (RR, 1.27; 95% CI 1.08, 1.49). CONCLUSION: Receipt of molecular testing in academic centers was associated with earlier initiation of systemic treatment. This finding underscores the need to increase molecular testing rates amongst mNSCLC patients during a clinically relevant period. Further studies to validate these findings in community centers are warranted.

Sex Disparities in Diagnostic Evaluation and Revascularization in Patients With Acute Myocardial Infarction-A 15-Year Nationwide Study.

Background Although sex disparities in the diagnostic evaluation and revascularization of patients with acute myocardial infarction are well documented, no study has evaluated longitudinal trends in these disparities. Methods and Results Using the National Inpatient Sample from 2005 to 2019, 9 259 932 patients with acute myocardial infarction were identified. We divided 15 years into five 3-year periods. The primary objective was to evaluate sex-based trends in the use of diagnostic angiography, percutaneous coronary intervention, and coronary artery bypass graft (CABG) among patients with non-ST-segment-elevation myocardial infarction and ST-segment-elevation myocardial infarction (STEMI) over 15 years. The secondary objective was to evaluate sex disparities in mortality, length of stay, and cost. For non-ST-segment-elevation myocardial infarction, we saw a small reduction in sex disparity in the use of all diagnostic angiography in period 5 versus period 1 (4% versus 5.3%; P<0.01), no change in sex disparity in percutaneous coronary intervention use in period 5 versus period 1 (5.6% versus 5%; P=0.16), and a widening sex disparity in CABG in period 5 versus period 1 (5.4% versus 4.4%; P<0.01). However, we noted decreasing sex disparities in the use of diagnostic angiography, percutaneous coronary intervention, and CABG for ST-segment-elevation myocardial infarction in mostly all periods compared with period 1 (P<0.05, all comparisons), but differences still existed in period 5. Risk-adjusted in-hospital mortality was higher after CABG for non-ST-segment-elevation myocardial infarction and after percutaneous coronary intervention and CABG for ST-segment-elevation myocardial infarction in women than men. Conclusions Despite variable trends in sex disparities in diagnostic and revascularization procedures for acute myocardial infarction, disparities still exist.

Evaluating the performance of machine learning methods for risk estimation of delirium in patients hospitalized from the emergency department.

INTRODUCTION: Delirium is a cerebral dysfunction seen commonly in the acute care setting. It is associated with increased mortality and morbidity and is frequently missed in the emergency department (ED) and inpatient care by clinical gestalt alone. Identifying those at risk of delirium may help prioritize screening and interventions in the hospital setting. OBJECTIVE: Our objective was to leverage electronic health records to identify a clinically valuable risk estimation model for prevalent delirium in patients being transferred from the ED to inpatient units. METHODS: This was a retrospective cohort study to develop and validate a risk model to detect delirium using patient data available from prior visits and ED encounter. Electronic health records were extracted for patients hospitalized from the ED between January 1, 2014, and December 31, 2020. Eligible patients were aged 65 or older, admitted to an inpatient unit from the emergency department, and had at least one DOSS assessment or CAM-ICU recorded within 72 h of hospitalization. Six machine learning models were developed to estimate the risk of delirium using clinical variables including demographic features, physiological measurements, medications administered, lab results, and diagnoses. RESULTS: A total of 28,531 patients met the inclusion criteria with 8057 (28.4%) having a positive delirium screening within the outcome observation period. Machine learning models were compared using the area under the receiver operating curve (AUC). The gradient boosted machine achieved the best performance with an AUC of 0.839 (95% CI, 0.837-0.841). At a 90% sensitivity threshold, this model achieved a specificity of 53.5% (95% CI 53.0%-54.0%) a positive predictive value of 43.5% (95% CI 43.2%-43.9%), and a negative predictive value of 93.1% (95% CI 93.1%-93.2%). A random forest model and L1-penalized logistic regression also demonstrated notable performance with AUCs of 0.837 (95% CI, 0.835-0.838) and 0.831 (95% CI, 0.830-0.833) respectively. CONCLUSION: This study demonstrated the use of machine learning algorithms to identify a combination of variables that enables an estimation of risk of positive delirium screens early in hospitalization to develop prevention or management protocols.

Postoperative Use of the Muscle Relaxants Baclofen and/or Cyclobenzaprine Associated With an Increased Risk of Delirium Following Lumbar Fusion.

STUDY DESIGN: Retrospective, single-center, cohort study. OBJECTIVE: Investigate whether the incidence of postoperative delirium in older adults undergoing spinal fusion surgery is associated with postoperative muscle relaxant administration. SUMMARY OF BACKGROUND DATA: Baclofen and cyclobenzaprine are muscle relaxants frequently used for pain management following spine surgery. Muscle relaxants are known to cause central nervous system side effects in the outpatient setting and are relatively contraindicated in individuals at high risk for delirium. However, there are no known studies investigating their side effects in the postoperative setting. METHODS: Patients over 65 years of age who underwent elective posterior lumbar fusion for degenerative spine disease were stratified into two treatment groups based on whether postoperative muscle relaxants were administered on postoperative day one as part of a multimodal analgesia regimen. Doubly robust inverse probability weighting with cox regression for time-dependent covariates was used to examine the association between postoperative muscle relaxant use and the risk of delirium while controlling for variation in baseline characteristics. RESULTS: The incidence of delirium was 17.6% in the 250 patients who received postoperative muscle relaxants compared with 7.9% in the 280 patients who did not receive muscle relaxants ( P=0.001 ). Multivariate analysis to control for variation in baseline characteristics between treatment groups found that patients who received muscle relaxants had a 2.00 (95% CI: 1.14-3.49) times higher risk of delirium compared with controls ( P=0.015 ). CONCLUSION: Postoperative use of muscle relaxants as part of a multimodal analgesia regimen was associated with an increased risk of delirium in older adults after lumber fusion surgery. Although muscle relaxants may be beneficial in select patients, they should be used with caution in individuals at high risk for postoperative delirium.

Challenges and opportunities in creating a deprescribing program in the emergency department: A qualitative study.

BACKGROUND: As the population of older adults increases, appropriate deprescribing becomes increasingly important for emergency geriatric care. Older adults represent the sickest patients with chronic medical conditions, and they are often exposed to high-risk medications. We need to provide an evidence-based, standardized deprescribing program in the acute care setting, yet the evidence base is lacking and standardized medication programs are needed. METHODS: We conducted a qualitative study with the goal to understand the perspective of healthcare workers, patients, and caregivers on deprescribing high-risk medications in the context of emergency care practices, provider preferences, and practice variability, along with the facilitators and barriers to an effective deprescribing program in the emergency department (ED). To ensure rich, contextual data, the study utilized two qualitative methods: (1) a focus group with physicians, advanced practice providers, nurses, pharmacists, and geriatricians involved in care of older adults and their prescriptions in the acute care setting; (2) semi-structured interviews with patients and caregivers involved in treatment and emergency care. Transcriptions were coded using thematic content analysis, and the principal investigator (S.L.) and trained research staff categorized each code into themes. RESULTS: Data collection from a focus group with healthcare workers (n = 8) and semi-structured interviews with patients and caregivers (n = 20) provided evidence of a potentially promising ED medication program, aligned with the vision of comprehensive care of older adults, that can be used to evaluate practices and develop interventions. We identified four themes: (1) Challenges in medication history taking, (2) missed opportunities in identifying high-risk medications, (3) facilitators and barriers to deprescribing recommendations, and (4) how to coordinate deprescribing recommendations. CONCLUSIONS: Our focus group and semi-structured interviews resulted in a framework for an ED medication program to screen, identify, and deprescribe high-risk medications for older adults and coordinate their care with primary care providers.

Cardiac Adverse Events Associated With Chemo-Radiation Versus Chemotherapy for Resectable Stage III Non-Small-Cell Lung Cancer: A Surveillance, Epidemiology and End Results-Medicare Study.

Background We compared cardiac outcomes for surgery-eligible patients with stage III non-small-cell lung cancer treated adjuvantly or neoadjuvantly with chemotherapy versus chemo-radiation therapy in the Surveillance, Epidemiology and End Results-Medicare database. Methods and Results Patients were age 66+, had stage IIIA/B resectable non-small-cell lung cancer diagnosed between 2007 and 2015, and received adjuvant or neoadjuvant chemotherapy or chemo-radiation within 121 days of diagnosis. Patients having chemo-radiation and chemotherapy only were propensity-score matched and followed from day 121 to first cardiac outcome, noncardiac death, radiation initiation by patients who received chemotherapy only, fee-for-service enrollment interruption, or December 31, 2016. Cause-specific hazard ratios (HRs) and competing risks subdistribution HRs were estimated. The primary outcome was the first of these severe cardiac events: acute myocardial infarction, other hospitalized ischemic heart disease, hospitalized heart failure, percutaneous coronary intervention/coronary artery bypass graft, cardiac death, or urgent/inpatient care for pericardial disease, conduction abnormality, valve disorder, or ischemic heart disease. With median follow-up of 13 months, 70 of 682 patients who received chemo-radiation (10.26%) and 43 of 682 matched patients who received chemotherapy only (6.30%) developed a severe cardiac event (P=0.008) with median time to first event 5.45 months. Chemo-radiation increased the rate of severe cardiac events (cause-specific HR: 1.62 [95% CI, 1.11-2.37] and subdistribution HR: 1.41 [95% CI, 0.97-2.04]). Cancer severity appeared greater among patients who received chemo-radiation (noncardiac death cause-specific HR, 2.53 [95% CI, 1.93-3.33] and subdistribution HR, 2.52 [95% CI, 1.90-3.33]). Conclusions Adding radiation therapy to chemotherapy is associated with an increased risk of severe cardiac events among patients with resectable stage III non-small-cell lung cancer for whom survival benefit of radiation therapy is unclear.

Role of Changing Procedural Characteristics Versus Changing Risk Profile in Age-Based Trends of Outcomes in Patients With Transfemoral Transcatheter Aortic Valve Replacement From 2012 to 2018: A Nationwide Analysis.

Background The trends in outcomes in patients who undergo transcatheter aortic valve replacement are well described in the literature. Some of these trends are driven by the decreasing risk profile of patients because of changing indications for transcatheter aortic valve replacement. We aimed to evaluate these trends in different age groups and quantify how much of these trends are driven by changes in procedural characteristics. Methods and Results Using the National Inpatient Sample from 2012 to 2018, we identified 204 230 adult patients who underwent transfemoral aortic valve replacement. The study's primary objective was to evaluate the changes in age-based trends in in-hospital mortality driven by changes in procedural characteristics over time. The secondary objectives were to evaluate similar trends in cardiac and noncardiac complications and resource use. Univariate and multivariate linear and logistic regression were used to obtain effect sizes. From 2012 to 2018, in-hospital mortality decreased from 1.8% to 0.79% in the age group 18 to 64 years, from 3.8% to 1.6% in the age group 65 to 80 years, and from 5.3% to 1.5% in the age group >80 years (P trend<0.01 for all age groups); these trends remained statistically significant on adjusted analysis except in patients aged 18 to 64 years. The other outcomes also showed variable trends over time. Length of stay, cost, and early discharge rates improved even after adjusting for comorbidities, which is likely attributable to improvement in procedural characteristics. Conclusions The changes in outcomes related to transcatheter aortic valve replacement are partly driven by changing patient risk profiles over time, but procedural characteristics have likely contributed to these trends in all age groups.

Decreasing opioid prescribing at discharge while maintaining adequate pain management is sustainable.

Background: In 2018, using a pragmatic multimodal approach, discharge opioid prescriptions were reduced without affecting pain control management. Herein, we assessed whether this approach was sustainable and whether discharge opioid prescriptions could be further reduced. Methods: This is a single center prospective study of patients who underwent elective outpatient procedures provided by our institution's Acute Care Surgery Division surgeons. Adult patients who underwent elective surgeries performed by surgeons in the Division of Acute Care Surgery from November 2018 to June 2021 and agreed to participate were included. The opioid prescriptions pre-populated in the order set at discharge were reduced from 20 pills to 10 pills in May 2020. Demographics, opioid information, non-opioid adjuncts prescribed, reported use of opioids prescribed, and patients' satisfaction were collected. Opioids were converted to oral morphine equivalents (OME). Results: A total of 178 patients were included. Elective surgeries performed mainly included inguinal hernia repair (38.8%), laparoscopic cholecystectomy (30.3%), cyst excision (13.5%), and umbilical hernia (8.4%). One hundred twenty-five and 53 patients underwent an elective operation with a surgeon in the Acute Care Surgery Division before and after the number of opioids pre-populated in the order set at discharge was reduced from 20 pills to 10 pills, respectively. Reducing the pre-populated discharge opioid prescriptions led to a significant decrease in OME prescribed (75 [75-76.5] vs. 80 [75-150], p < 0.001) without affecting patients' satisfaction with pain management (excellent/good: 87.8% vs. 84%; p = 0.305). Conclusions: Our pragmatic multimodal approach is sustainable and allows for additional opioid prescription reduction without affecting patients' satisfaction with pain management.