Post-Acute Sequelae of COVID-19 and Polypharmacy: If You Think There’s Too Much Polypharmacy Now, Just Wait

The intersection of increased chronic disease burden worldwide with the COVID-19 pandemic was called the “perfect storm”. This article discusses yet another perfect storm: Post COVID-19 (acute and non-acute) syndrome, high chronic disease burdens, advanced age, and polypharmacy. The expected hyper polypharmacy that should result from the added disease and symptom burden due to post COVID-19 syndrome is discussed, as well as the importance of studying the incidence and characteristics to be able to address avoidable medication-related problems

Ethical Aspects of COVID-19 Antibody Testing

One common COVID-19 test is the test for one or more of the antibodies the body creates when it encounters the COVID-19 virus. Because these tests are often Point-of-Care, rapid tests that require only a blood sample they may appear to patients as an easily accessible and useful tool for guiding their actions in the pandemic. However, serologic antibody tests should not be offered to patients in normal practice under nearly all circumstances. They are useful in narrow diagnostic settings in later stage infections and they serve an important public health function, but they are not of benefit to patients and may in fact give false and potentially harmful information to patients of moderate health literacy

A Logistics Approach to Improve Medication Reconciliation in the Outpatient Clinic Setting

Medication reconciliation (MR) is the process of determining the most accurate account of medication the patient is taking. Although MR seems simple, research has shown that 25% of medical errors are related to lack of medication reconciliation [1]. In the community clinic setting, the task of medication reconciliation falls on the Medical Assistants (MAs). A preliminary study of MR accuracy in an outpatient clinic found an average of 5.8 discrepancies in the chart medication list [2]. The most notable were incomplete directions, wrong directions, or wrong frequency of dosing. Unoptimized medication use is estimated to result in 275,869 deaths per year in the United States [3]. These are potentially avoidable deaths. A factor contributing to these poor outcomes is the 15-minute office visit and insufficient time to assess how patients are using their medications [4]. Improved MR would help optimization of medication use. Currently, a care team member dedicated to MR and medication management entirely does not exist due to lack of clear fiscal incentive. This study aimed to identify interventions to improve MR without using much more than existing resources. This was done by studying the current processes of MR in ambulatory care clinics, identifying gaps, and proposing interventions for potential improvement. These interventions were subjected to cost vs value analysis to determine which interventions were the most feasible given the 15 minute office visit the healthcare system currently operates in

Pharmacy Staff Perspectives on Alcohol and Medication Interaction Prevention Among Older Rural Adults

Older adults are at high risk for alcohol and medication interactions (AMI). Pharmacies have the potential to act as ideal locations for AMI education, as pharmacy staff play an important role in the community. This study examined the perspectives of pharmacy staff on AMI prevention programming messaging, potential barriers to and facilitators of older adult participation in such programming, and dissemination methods for AMI prevention information. Flyers, telephone calls, and site visits were used to recruit 31 pharmacy staff members who participated in semistructured interviews. A content analysis of interview transcriptions was conducted to identify major themes, categories, and subcategories. The main categories identified for AMI prevention messaging were Informational, Health Significance, and Recommendations. Within barriers to participation, the main categories identified were Health Illiteracy, Personal Attitudes, and Feasibility. The main categories identified for program facilitators were Understanding, Beneficial Consequences, and Practicality. Multimethod dissemination strategies were commonly suggested. This study found positive pharmacy staff perspectives for the planning and implementation of AMI prevention programming, and future development and feasibility testing of such programming in the pharmacy setting is warranted

Pharmacy Staff Perspectives on Alcohol and Medication Interaction Prevention Among Older Rural Adults

Older adults are at high risk for alcohol and medication interactions (AMI). Pharmacies have the potential to act as ideal locations for AMI education, as pharmacy staff play an important role in the community. This study examined the perspectives of pharmacy staff on AMI prevention programming messaging, potential barriers to and facilitators of older adult participation in such programming, and dissemination methods for AMI prevention information. Flyers, telephone calls, and site visits were used to recruit 31 pharmacy staff members who participated in semistructured interviews. A content analysis of interview transcriptions was conducted to identify major themes, categories, and subcategories. The main categories identified for AMI prevention messaging were Informational, Health Significance, and Recommendations. Within barriers to participation, the main categories identified were Health Illiteracy, Personal Attitudes, and Feasibility. The main categories identified for program facilitators were Understanding, Beneficial Consequences, and Practicality. Multimethod dissemination strategies were commonly suggested. This study found positive pharmacy staff perspectives for the planning and implementation of AMI prevention programming, and future development and feasibility testing of such programming in the pharmacy setting is warranted

Pharmacy Staff Perspectives on Alcohol and Medication Interaction Prevention Among Older Rural Adults

Older adults are at high risk for alcohol and medication interactions (AMI). Pharmacies have the potential to act as ideal locations for AMI education, as pharmacy staff play an important role in the community. This study examined the perspectives of pharmacy staff on AMI prevention programming messaging, potential barriers to and facilitators of older adult participation in such programming, and dissemination methods for AMI prevention information. Flyers, telephone calls, and site visits were used to recruit 31 pharmacy staff members who participated in semistructured interviews. A content analysis of interview transcriptions was conducted to identify major themes, categories, and subcategories. The main categories identified for AMI prevention messaging were Informational, Health Significance, and Recommendations. Within barriers to participation, the main categories identified were Health Illiteracy, Personal Attitudes, and Feasibility. The main categories identified for program facilitators were Understanding, Beneficial Consequences, and Practicality. Multimethod dissemination strategies were commonly suggested. This study found positive pharmacy staff perspectives for the planning and implementation of AMI prevention programming, and future development and feasibility testing of such programming in the pharmacy setting is warranted

Epidemiology and Outcomes of Hospitalized Adults with SARS-CoV-2 Community-Acquired Pneumonia in Louisville, Kentucky

Background: During the ongoing pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), SARS-CoV-2 community-acquired pneumonia (CAP) has been the primary cause of hospitalization. The objective of this study was to evaluate the clinical characteristics and outcomes of 1,013 patients hospitalized with SARS-CoV-2 CAP from September 2020 through March 2021 in Louisville, Kentucky. Methods: This was a retrospective observational study of 1,013 patients hospitalized with SARS-CoV-2 CAP at eight of the adult hospitals in the city of Louisville from September 2020 through March 2021. Patients with 1) a positive reverse transcriptase-polymerase chain reaction (RT-PCR) for SARS-CoV-2, 2) fever, cough, or shortness of breath, and 3) an infiltrate on chest imaging were defined as having SARS-CoV-2 CAP. Data were abstracted from each hospital’s electronic health record. Descriptive statistics were performed on clinical and epidemiological characteristics of hospitalized patients with SARS-CoV-2 CAP. Demographic characteristics of the study population were compared with census data from the city of Louisville. Data were analyzed by descriptive and inferential statistics using R version 3.4.0. Results: Of the 1,013 patients hospitalized with SARS-CoV-2 CAP, the median age was 65 years, 53% were males, 24% reported their race as African American or Black, and 6% identified as Hispanic. The most frequent comorbidities were hypertension (73%), obesity (56%), and diabetes (43%). At the time of admission, 60% required supplemental oxygen. The mortality rate was 19% for the total population and 45% for the 359 patients admitted to the intensive care unit (ICU). For each comorbidity, the proportion of hospitalized patients with SARS-CoV-2 CAP was significantly different from the Louisville population (P Conclusions: The elderly, males, and patients with a history of coronary artery disease, cerebrovascular disease, chronic obstructive pulmonary disease, hypertension, diabetes, renal disease, or obesity are overrepresented among hospitalized patients with SARS-CoV-2 CAP compared to the Louisville population. These patients are also more likely to require ICU care and experience worse clinical outcomes, with death occurring in approximately one in every five hospitalizations

Characteristics and Outcomes of Adults Hospitalized with SARS-CoV-2 Community-Acquired Pneumonia in Louisville, Kentucky

Background: Patients infected with the novel coronavirus SARS-CoV-2 are frequently hospitalized with community-acquired pneumonia (CAP). The objective of this study was to define the clinical characteristics and outcomes of hospitalized patients with SARS-CoV-2 CAP in the city of Louisville, KY. Methods: This was a retrospective observational study of 700 patients with SARS-CoV-2 infection hospitalized to eight of the adult hospitals in the city of Louisville. Patients with 1) a positive RT-PCR for SARS-CoV-2, 2) fever, cough, or shortness of breath, and 3) an infiltrate at chest imaging were defined as having SARS-CoV-2 CAP. Demographic characteristics of the study population were compared with census data from the city of Louisville. For each patient more than 500 variables were abstracted from electronic medical records and recorded using Research Electronic Data Capture software. Data was analyzed by descriptive and inferential statistics using R version 3.4.0. Results: SARS-CoV-2 CAP was identified in 632 (90%) patients hospitalized with COVID-19. The median age of the patients was 63 years, 53% were females, 31% were black and 12% Hispanic. The most frequent comorbidities were hypertension (56%), obesity (50%), and diabetes (33%). Mortality was 17% for the total population and 34% for the 249 patients admitted to ICU. For each category of race, ethnicity and comorbidities, the proportion of hospitalized patients with SARS-CoV-2 CAP was significantly different when compared to the Louisville population (p \u3c 0.001). Conclusion: Patients of black race, Hispanic ethnicity, and patients with history of hypertension, obesity or diabetes are overrepresented among hospitalized patients with SARS-CoV-2 CAP when compared to the Louisville population. Hospitalized patients with SARS-CoV-2 CAP are likely to require ICU care, with death occurring in approximately one of six hospitalizations

No difference in clinical outcomes for African American and White patients hospitalized with SARS-CoV-2 pneumonia in Louisville, Kentucky

Introduction: Current literature indicates that African American individuals are at increased risk of becoming infected with the SARS-CoV-2 virus and suffer higher SARS-CoV-2-related mortality rates. However, there is a lack of consensus as to how the clinical outcomes of African American patients differ from those of other groups. The objective of this study was to define the clinical outcomes of African American and White hospitalized patients with SARS-CoV-2 community-acquired pneumonia (CAP) in Louisville, Kentucky. Methods: This was a retrospective cohort study of hospitalized patients with SARS-CoV-2 CAP at eight hospitals in Louisville, Kentucky. Severity of CAP at time of hospitalization was evaluated using the pneumonia severity index (PSI), CURB-65 score and SARS-CoV-2 viral load. The following thirteen clinical outcomes were compared: discharge alive to home, time to home discharge, admission to the ICU, length of ICU stay, need for invasive mechanical ventilation (IMV), duration of IMV, development of acute respiratory distress syndrome (ARDS), development of septic shock, need for vasopressors, development of cardiovascular events, time to cardiovascular events, in-hospital mortality, and time to death. Results: A total of 541 patients were eligible for this study, 343 White (63%) and 198 African American (37%). None of the thirteen clinical outcomes were statistically significantly different between the two groups. Conclusions: This study indicates that African American and White patients do not have different clinical outcomes after the point of hospitalization due to SARS-CoV-2 CAP

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.</p