Disparity in Treatment Receipt by Race and Treatment Guideline Revision Years for Stage 1A Non-Small Cell Lung Cancer Patients in the US.

INTRODUCTION: Treatment guideline revision introduced by the National Comprehensive Cancer Network (NCCN) is referred to by about 95% of the United States (US) oncologists in treatment decision-making for stage 1A non-small cell lung cancer. It is vital to account for this factor that affects the standard treatment receipt among stage 1A patients, with about a 75% survival rate if treated on time. The first choice for medically fit patients is lobectomy; however, over the decades since the initial guidelines were published, several medical advances have introduced trends in treatment receipt along with other sociodemographic factors that could help identify survival outcomes associated with treatment receipt. Establishing the role of treatment guideline revision years is important to determine a close to true causal relationship in racial treatment disparities. METHODS: US national cancer registry data for all US counties and historical Area Health Resource Files for the study period 1988-2015 were utilized. Logistic regression analysis was adjusted for clustering of standard errors at the state level and for time-invariant unobserved factors for the year of diagnosis and county. The time-invariant unobservable for each year of diagnosis and county specificity were accounted for by including their dummy variables in the regression model with standard errors clustered at the state level. RESULTS: Black patients, Medicaid beneficiaries, large fringe metropolitan residents, and those diagnosed post-2007 treatment revisions years are less likely to receive lobectomy, which is the standard treatment guideline for medically fit patients. CONCLUSION: The study concludes that there exists a difference in treatment type received among stage 1A NSCLC patients in the US by race, socioeconomic status, and treatment guideline revisions.

Specific Medication Literacy in Older Adults with Asthma.

Purpose: To explore specific medication literacy (SML) of older adults and associations of SML strength. Methods: This was an observational study. Participants were at least 60 years old, with an asthma diagnosis and in good health. Data were collected by a registered nurse researcher. The SML data collection instrument gathered information about each medication a participant used: name, purpose, how taken, special instructions, adverse effects, and drug-drug or drug-disease interactions. An SML scoring rubric was developed. Results: All could provide name, and most provided purpose, how taken. The lowest SML domains were side effects and interactions. Age at time of asthma diagnosis correlated with stronger SML scores and living in a disadvantaged neighborhood correlated with lower SML scores. Discussion: Gaps in medication literacy may create less ability to self-monitor. Patients want medication literacy but struggle with appropriate, individualized, information. Conclusion: The study provides insights on gaps and opportunities for SML.

They Are Here: Anti-Amyloid Therapies to Treat Dementia.

The US Food and Drug Administration's approval of anti-amyloid therapies for the treatment of Alzheimer's dementia has resulted in a proliferation of publications reporting and conveying rapidly changing information. Unfortunately for the clinician, this information is surfacing in a variety of places and formats without a unifying consensus or clear guidance.

Statistical methods for assessing drug interactions using observational data.

With advances in medicine, many drugs and treatments become available. On the one hand, polydrug use (i.e. using more than one drug at a time) has been used to treat patients with multiple morbid conditions, and polydrug use may cause severe side effects. On the other hand, combination treatments have been successfully developed to treat severe diseases such as cancer and chronic diseases. Observational data, such as electronic health record data, may provide useful information for assessing drug interactions. In this article, we propose using marginal structural models to assess the average treatment effect and causal interaction of two drugs by controlling confounding variables. The causal effect and the interaction of two drugs are assessed using the weighted likelihood approach, with weights being the inverse probability of the treatment assigned. Simulation studies were conducted to examine the performance of the proposed method, which showed that the proposed method was able to estimate the causal parameters consistently. Case studies were conducted to examine the joint effect of metformin and glyburide use on reducing the hospital readmission for type 2 diabetic patients, and to examine the joint effect of antecedent statins and opioids use on the immune and inflammatory biomarkers for COVID-19 hospitalized patients.

Examining the relationship between long working hours and the use of prescription sedatives among U.S. workers.

OBJECTIVES: The prevalence of long working hours has been accompanied by a corresponding rise in sleep disorders. Sedative-hypnotic agents (SHAs), have been reported as the second most commonly misused drug class in the U.S. The key objective of this study was to examine the relationship between working hours on the use of sleep aids and medications with sedative properties. METHODS: The 2010-2019 Medical Expenditure Panel Survey data was utilized. SHAs and medications with sedative related properties (MSRPs) were identified. Furthermore, we employed different regression models ranging from multivariable linear regression, Tobit regression, Heckman regression, and multivariable logistic regression, to ensure consistency, robustness, and reliability of associations. RESULTS: Overall, a sample of 81,518 observations of full-time workers was analyzed. Working 56hours or more per week was significantly associated (p < 0.05) with an increased odds of using SHAs and MSRPs by 13% (Adjusted Odds Ratio, aOR =1.13, 95% Confidence Interval, CI=1.01:1.26) and 9% (aOR=1.09, 95% CI=1.03:1.16), respectively more than that among those who worked fewer hours. Females in our study had a higher likelihood (aOR=1.11, 95% CI=1.05:1.19) of using SHAs when compared to males. Also, professional services had the highest likelihood (aOR=1.31, 95% CI=1.14:1.50) of using SHAs. CONCLUSION: We found that long working hours were significantly associated with an elevated use of SHAs and MSRPs among U.S. workers. Specifically, female workers and individuals working in professional services had the highest likelihood of using sleep medications.

Polypharmacy Interactions Impacting Methacholine Challenge Testing for Asthma Assessment in Older People.

Objective To investigate potential reasons for unusually high incidence of negative Methacholine Challenge Tests (MCT), following standardized MCT medication-hold protocol, in older people with physician-diagnosed asthma. Design An analysis of a longitudinal observational parent study of asthma. Setting Community-dwelling participants were evaluated in an outpatient clinic and at home. Participants Screening inclusion criteria for the parent study included 60 years of age or older, physician diagnosis of asthma, and a positive response to at least one of six asthma screening questions. Participants were enrolled in the study if they also demonstrate either: (1) a postbronchodilator administration response showing an increase of at least 12% and 200 mL in forced expiratory volume or an increase of at least 12% and 200 mL in forced vital capacity, or (2) an MCT result of PC20 ≤ 16 mg/mL (indicating bronchial hyper-responsiveness, MCT positive). Exclusion criteria included diagnosis of cognitive impairment or dementia, residing in a long-term care facility, more than 20 pack/ year smoking history or a history of smoking within the previous five years, inability to perform pulmonary function testing maneuvers, and a Prognostic Index score of greater than 10. Interventions Analysis of participant data for non-medication- and medication-exposure factors for association with negative MCT results. Results Anticholinergic burden and statin use were positively associated with negative MCT. Conclusion Medications not accounted for in medication-hold protocols, and concurrently in use, may impact clinical tests and outcomes.

Electrocardiographic Features and Outcome: Correlations in 124 Hospitalized Patients With COVID-19 and Cardiovascular Events.

OBJECTIVES: Electrocardiographic (ECG) changes have been associated with coronavirus disease 2019 (COVID-19) severity. However, the progression of ECG findings in patients with COVID-19 has not been studied. The purpose of this study was to describe ECG features at different stages of COVID-19 cardiovascular (CV) events and to examine the effects of specific ECG parameters and cardiac-related biomarkers on clinical outcomes in COVID-19. DESIGN: Retrospective, cohort study. SETTING: Major tertiary-care medical centers and community hospitals in Louisville, KY. PARTICIPANTS: A total of 124 patients with COVID-19 and CV events during hospitalization. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Twelve-lead ECG parameters, biomarkers of cardiac injuries, and clinical outcomes were analyzed with Spearman correlation coefficients and Kruskal-Wallis 1-way analysis of variance. Atrial fibrillation/atrial flutter was more frequent on the ECG obtained at the time of the CV event when compared with admission ECG (9.5% v 26.9%; p = 0.007). Sinus tachycardia was higher in the last available hospital ECG than the CV event ECG (37.5% v 20.4%; p = 0.031). Admission ECG-corrected QT interval was significantly associated with admission troponin levels (R = 0.52; p < 0.001). The last available hospital ECG showed nonsurvivors had longer QRS duration than survivors (114.6 v 91.2 ms; p = 0.026), and higher heart rate was associated with longer intensive care unit length of stay (Spearman ρ = 0.339; p = 0.032). CONCLUSIONS: In hospitalized patients with COVID-19 and CV events, ECGs at various stages of COVID-19 hospitalization showed significantly different features with dissimilar clinical outcome correlations.

Polypharmacy in Polish Older Adult Population-A Cross-Sectional Study: Results of the PolSenior Project.

Polypharmacy is a challenging issue in geriatrics. The aim of the study was to characterize correlates of polypharmacy in the PolSenior project. The PolSenior project, was a comprehensive survey in a large and longitudinal representative sample of thePolish older population. The project was conducted by the International Institute of Molecular and Cell Biology in Warsaw between 2008 and 2011. All medications consumed during the week preceding the survey were evaluated for each participant (n = 4793, including 2314 females (48.3%)). Thereafter, the percentage of those with polypharmacy (at least 5 medications) and excessive polypharmacy (at least 10 medications) was calculated, and their correlates were determined. The average number of medications used by participants was 5.1 ± 3.6, and was higher in females than in males (5.5 ± 3.5 vs. 4.8 ± 3.5; p < 0.001). Polypharmacy characterized 2650 participants (55.3%) and excessive polypharmacy-532 of them (11.1%). The independent correlates associated withpolypharmacy were: age over 70 years, female sex, higher than primary education, living in an urban area, comorbidities, any hospitalization during past five years, and visiting general practicioners at least yearly. As for correlates with excessive polypharmacy, they were: age 80-84 years, female sex, living in an urban area, diagnosis of at least four chronic diseases, and at least two hospitalizations in the last five years. This study serves as a starting place to understand patient characteristics associated with polypharmacy, excessive polypharmacy, and identify targeted interventions.

Transformational strategies for optimizing use of medications and related therapies through us pharmacists and pharmacies: Findings from a national study.

SETTING: Nonoptimized medication therapies (NOMTs) are associated with likely avoidable illnesses and mortality affecting millions of people and costing an estimated $528 billion per year in excess health spending in the United States. The coronavirus disease 2019 (COVID-19) pandemic brought into focus barriers limiting the ability of U.S. pharmacists and pharmacies to provide services that can reduce NOMTs and improve U.S. population health. OBJECTIVES: This National Science Foundation Center for Health Organization Transformation study explored potential strategies that U.S. pharmacists, pharmacies, and their partners could implement to reduce NOMTs while also delivering other forms of value to U.S. populations from 2021 to 2025 (during and after the COVID-19 pandemic). DESIGN: A panel of senior leaders representing the U.S. pharmacist and pharmacy sector participated in a 4-round Delphi process to identify unmet needs, barriers, change drivers, and priority strategies for meeting those needs. Data were gathered and analyzed by public health researchers, most of whom are outside the pharmacist and pharmacy sector. RESULTS: A comprehensive set of evidence-based strategies with potential to reduce NOMTs, protect and improve population health and well-being, and strengthen the sector were identified. Four transformational strategies were recommended: comprehensive payment and practice transformation, strengthening pharmacy data interoperability infrastructure, development of unifying measurement and management mechanisms, and development of a more robust national research infrastructure. Strengthening health equity was a cross-cutting strategy affecting all areas. CONCLUSION: The results may be of interest to policy makers, pharmacists, pharmacies, physicians, nurses and other clinicians, pharmaceutical firms, plan sponsors, plans, health systems, clinics, aging care, digital technology companies, and others interested in optimizing outcomes from medications and related therapies for U.S.

Anticancer Therapy in COViD-19 Patients: A Descriptive Literature Review.

OBJECTIVE: To provide a descriptive literature review about the effects of anticancer treatment on clinical outcomes because of active COVID-19 infection in older people. DATA SOURCES: A literature search was conducted in Google Scholar, PubMed, American Society of Clinical Oncology, European Society for Medical Oncology, and the Center for Disease Control and Prevention. Articles published in English between December 1, 2019, to September 1, 2020, were included. STUDY SELECTION: Nine studies assessing the effectiveness of various modalities for cancer treatments in patients infected with COVID-19 infection were reviewed. The studies reviewed the severity of COVID-19 infection outcomes in patients who underwent any anticancer treatment. Studies exclusively focused on older people could not be found, but all studies included older people. DATA SYNTHESiS AND RESULTS: Early pandemic studies suggested avoiding anticancer treatment during a COVID-19 infection because of poor clinical outcomes and increased mortality. However, the totality of studies reviewed found no association between the continuation of anticancer treatment and adverse COVID-19 outcomes in cancer patients. Adverse COVID-19 infection outcomes and high mortality rates were associated with older cancer patients independent of anticancer therapy. CONCLUSION: Treatment of cancer could be challenging because of the COVID-19 pandemic. Interruption or delaying the anticancer therapy could increase the burden of overall mortality. This literature review indicated that adverse outcomes because of COVID-19 are associated with advanced age independent of anticancer therapy. Further exploration of the correlation between cancer, anticancer treatments, and COVID-19 infection outcomes is needed.

Depression Part 3: Medication Related Problems.

When selecting and managing psychoactive medications in older people, it is equally important to focus on avoidance of toxicity as it is to focus on efficacy. Higher psychoactive medication load is associated with increased rate and risk of all cause hospitalization. The medication classes used to treat depression and related comorbidities include antidepressants, antipsychotics, stimulants, mood stabilizers, lithium, anxiolytics and sedative hypnotics. This discussion will examine considerations to help avoid medication related problems relevant to medications used to treat depression in the antidepressant pharmacological class.

Failure to Thrive: The Perfect Storm.

In this case, a 93-year-old woman declines rapidly following glossectomy surgery and experiences rapid weight loss. She becomes withdrawn and uncommunicative and is diagnosed as failure to thrive and potentially cognitively impaired. The eventual explanation for her decline is unexpected, surprising-and counterintuitive. This case illustrates the importance of investigating every aspect of medication use related to outcomes including medication administration, therapeutics, and health system dynamics.

Geriatric Pharmacotherapy Case Series: Overactive Bladder.

GERIATRIC PHARMACOTHERAPY CASE SERIES
This is the first in a series of clinical case studies developed by ASCP's Pharmacy Education and Research Committee. The series reviews approaches to managing complex problems when treating older people with concurrent chronic and acute conditions.
This case study reviews the treatment of a patient with overactive bladder (OAB), a geriatric syndrome that is a prevalent and multifactorial health condition associated with substantial morbidity and poor outcomes in older people. This case illustrates a counterintuitive presentation of OAB, approaches to analyzing the case, and planning for treatment.

Current Bronchodilator Responsiveness Criteria Underestimate Asthma in Older Adults.

BACKGROUND: Asthma is common in older adults and is confirmed by demonstration of variable expiratory air-flow limitations, typically evaluated by spirometric assessment of bronchodilator responsiveness. However, many patients with clinically suspected asthma and documented air-flow obstruction do not exhibit a post-bronchodilator response that meets or exceeds current established guidelines. We investigated if extending the time from bronchodilator administration to assessment of bronchodilator response increases the yield of spirometry for the diagnosis of asthma in older adults. METHODS: This was a cross-sectional study. The subjects were non-smokers, ≥ 60 y old, and with suspected asthma. Subjects were characterized as (1) those with a positive bronchodilator response on the 30-min post-bronchodilator spirometry, (2) those with a positive bronchodilator response on the 60-min post-bronchodilator spirometry, and (3) those without a positive bronchodilator response but with a positive methacholine challenge test. Factors associated with a late response to bronchodilator were evaluated by using bivariate analysis and by multivariate analysis by using a logistic regression model. RESULTS: This study enrolled 165 subjects. Of these, 81 (49.1%) had a positive bronchodilator response on 30-min post-bronchodilator spirometry; 25 (15.2%) had a positive bronchodilator response on the 1-h post-bronchodilator spirometry; and 59 (35.8%) had no positive bronchodilator response but had a positive methacholine challenge test. On multivariable regression analysis, those with a higher baseline percentage of predicted FEV1, higher scores on a standard asthma control test, and wheezing and/or cough after exercise were more likely to either have a late bronchodilator response or no bronchodilator response. CONCLUSIONS: Our study showed that a late positive response to bronchodilator use was more common than previously presumed in older subjects with suspected asthma. Pulmonary function testing laboratories should consider routinely reassessing spirometry at 1 h after bronchodilator use if the earlier assessment did not reveal a significant response.