Telehealth Pharmacist Approach to Comprehensive Medication Management in Post-Discharge High-Risk Patients: A Quality Improvement Initiative.

Introduction: Clinical Pharmacist-led Comprehensive Medication Management (CMM) has the potential to mitigate medication errors during transitions in care, but current evidence is underdeveloped. The objective of this work was to assess the impact of optimized CMM services through a telehealth pharmacist clinic on hospital readmission and Emergency Department (ED) utilization rates. Methods: A quality improvement study with patients discharged home from an urban, nonacademic Hospital in Westchester County, New York, receiving telehealth CMM was used. Participants included adult patients discharged home from an internal medicine unit considered high risk for preventable adverse medication errors based on comorbidities and prescribed medications. Eligible patients were offered to enroll in telehealth CMM visits with a clinical pharmacist immediately, 30 days, and 60 days post-discharge versus the current standard of care. Results: Primary outcomes included the impact on 30- and 90-day readmission and ED visit rates. Secondary outcomes included quantifying the outcomes on patient engagement, enrollment, and volume resulting from the program's process improvements. In this study, 3,060 patients were discharged from June 14, 2021, to May 10, 2022; 1,547 were eligible and offered CMM visits, and 889 completed enrollment (Treated). There was a 2.1% absolute difference in 30-day readmission rates between untreated and attempted (p = 0.07), and a 2.9% difference between the untreated and treated group (p = 0.04). Thirty-day ED utilization decreased by 1.6% between untreated and attempted (p = 0.3), and 3.5% between the untreated and treated (p = 0.03). There were four Plan-Do-Study-Act cycles in this program, in which the process improvements resulted in an overall average increase in patient volume, enrollment rates, and patient engagement for this QI initiative. Conclusions: This study yielded significant reductions in readmission and ED utilization rates among treated patients, highlighting successful process improvements that improved patient engagement and the potential for enhancing care coordination in vulnerable populations.

CRP Monitoring in Early Hospitalization: Implications for Predicting Outcomes in Patients with COVID-19.

Elevated C-reactive protein (CRP) levels have been associated with poorer COVID-19 outcomes. While baseline CRP levels are higher in women, obese individuals, and older adults, the relationship between CRP, sex, body mass index (BMI), age, and COVID-19 outcomes remains unknown. To investigate, we performed a retrospective analysis on 824 adult patients with COVID-19 admitted during the first pandemic wave, of whom 183 (22.2%) died. The maximum CRP value over the first five hospitalization days better predicted hospitalization outcome than the CRP level at admission, as a maximum CRP > 10 mg/dL independently quadrupled the risk of death (p < 0.001). Males (p < 0.001) and patients with a higher BMI (p = 0.001) had higher maximum CRP values, yet CRP levels did not impact their hospitalization outcome. While CRP levels did not statistically mediate any relation between sex, age, or BMI with clinical outcomes, age impacted the association between BMI and the risk of death. For patients 60 or over, a BMI < 25 kg/m2 increased the risk of death (p = 0.017), whereas the reverse was true for patients <60 (p = 0.030). Further impact of age on the association between BMI, CRP, and the risk of death could not be assessed due to a lack of statistical power but should be further investigated.

Predicting COVID-19 prognosis in hospitalized patients based on early status.

IMPORTANCE: COVID-19 remains the fourth leading cause of death in the United States. Predicting COVID-19 patient prognosis is essential to help efficiently allocate resources, including ventilators and intensive care unit beds, particularly when hospital systems are strained. Our PLABAC and PRABLE models are unique because they accurately assess a COVID-19 patient's risk of death from only age and five commonly ordered laboratory tests. This simple design is important because it allows these models to be used by clinicians to rapidly assess a patient's risk of decompensation and serve as a real-time aid when discussing difficult, life-altering decisions for patients. Our models have also shown generalizability to external populations across the United States. In short, these models are practical, efficient tools to assess and communicate COVID-19 prognosis.

The Impact of a Narrative Medicine Life Story Pilot Program on Press Ganey™ Scores in an Outpatient Cancer Center.

Oncology patients face challenges beyond those directly affecting their cancer management. Guided personal narrative programs have been shown to help patients with chronic conditions and life-framing events. Few such narrative programs have been reported for cancer patients or analyzed for their impact on patient experience. We established our Life Story Narrative Program, modeled on the United States Veterans Affairs' "My Life, My Story" for outpatient oncology patients in our hospital's cancer center. Press Ganey™ patient experience scores from program participants were compared retrospectively with scores from patients who were not participants. Over an eight-month period, we invited 30 cancer center outpatients to participate. Twenty-seven individuals accepted, and 18 had their stories edited, approved, and scanned into their electronic health record. Cohort matching yielded a control arm consisting of 255 responses from 48 surveys, while the intervention arm consisted of 68 responses from 12 surveys. 78.4% of responses from the control arm were rated 5 compared with 100% in the intervention arm. The mean Press Ganey™ score response in the control arm was 4.71 compared with 5.00 from the intervention arm. Wilcoxon U value was 10,540 with p < .001. An outpatient narrative medicine program for cancer patients to tell their life stories can easily be organized. Patients were willing to participate, enrollment was brisk, and the use of resources was limited. Although our sample size was small, participation in our Life Story Narrative Pilot Program resulted in a statistically significant improvement in Press Ganey™ scores.

Use of Cognitive Aids to Augment Point of Care Hemorrhage Control Skills in Laypersons.

OBJECTIVE: The Stop the Bleed course aims to improve bystander hemorrhage control skills and may be improved with point-of-care aids. We sought to create and examine a variety of cognitive aids to identify an optimal method to augment bystander hemorrhage control skills in an emergency scenario. METHODS: Randomized trial of 346 college students. Effects of a visual or visual-audio aid on hemorrhage control skills were assessed through randomization into groups with and without prior training or familiarization with aids compared with controls. Tourniquet placement, wound packing skills, and participant comfortability were assessed during a simulated active shooter scenario. RESULTS: A total of 325 (94%) participants were included in the final analyses. Participants who had attended training (odds ratio [OR], 12.67; P = 9.3 × 10-11), were provided a visual-audio aid (OR, 1.96; P = 0.04), and were primed on their aid (OR, 2.23; P = 0.01) were superior in tourniquet placement with less errors (P < 0.05). Using an aid did not improve wound packing scores compared with bleeding control training alone (P > 0.05). Aid use improved comfortability and likelihood to intervene emergency hemorrhage scenarios (P < 0.05). CONCLUSIONS: Using cognitive aids can improve bystander hemorrhage control skills with the strongest effects if they were previously trained and used an aid which combined visual and audio feedback that they were previously introduced to during the course training.

Connectomic insight into unique stroke patient recovery after rTMS treatment.

An improved understanding of the neuroplastic potential of the brain has allowed advancements in neuromodulatory treatments for acute stroke patients. However, there remains a poor understanding of individual differences in treatment-induced recovery. Individualized information on connectivity disturbances may help predict differences in treatment response and recovery phenotypes. We studied the medical data of 22 ischemic stroke patients who received MRI scans and started repetitive transcranial magnetic stimulation (rTMS) treatment on the same day. The functional and motor outcomes were assessed at admission day, 1 day after treatment, 30 days after treatment, and 90 days after treatment using four validated standardized stroke outcome scales. Each patient underwent detailed baseline connectivity analyses to identify structural and functional connectivity disturbances. An unsupervised machine learning (ML) agglomerative hierarchical clustering method was utilized to group patients according to outcomes at four-time points to identify individual phenotypes in recovery trajectory. Differences in connectivity features were examined between individual clusters. Patients were a median age of 64, 50% female, and had a median hospital length of stay of 9.5 days. A significant improvement between all time points was demonstrated post treatment in three of four validated stroke scales utilized. ML-based analyses identified distinct clusters representing unique patient trajectories for each scale. Quantitative differences were found to exist in structural and functional connectivity analyses of the motor network and subcortical structures between individual clusters which could explain these unique trajectories on the Barthel Index (BI) scale but not on other stroke scales. This study demonstrates for the first time the feasibility of using individualized connectivity analyses in differentiating unique phenotypes in rTMS treatment responses and recovery. This personalized connectomic approach may be utilized in the future to better understand patient recovery trajectories with neuromodulatory treatment.

The Impact of the Addition of a Virtual Reality Trainer on Skill Retention of Tourniquet Application for Hemorrhage Control Among Emergency Medical Technician Students: A Pilot Study.

INTRODUCTION: Trauma is a leading cause of preventable death in the United States. Emergency Medical Technicians (EMTs) often arrive first at the scene of traumatic injuries to perform life-saving skills such as tourniquet placement. While current EMT courses teach and test tourniquet application, studies have shown efficacy and retention of EMT skills such as tourniquet placement decay over time, with educational interventions needed to improve retention of skills. METHODS: A prospective randomized pilot study was conducted to determine differences in retention of tourniquet placement among 40 EMT students after initial training. Participants were randomly assigned to either a virtual reality (VR) intervention or a control group. The VR group received instruction from a refresher VR program 35 days after initial training as a supplement to their EMT course. Both the VR and control participants' tourniquet skills were assessed 70 days after initial training by blinded instructors.  Results: There was no significant difference in correct tourniquet placement between both groups (Control, 63% vs Intervention, 57%, p = 0.57). It was found that 9/21 participants (43%) in the VR intervention group failed to correctly apply the tourniquet while 7/19 of the control participants (37%) failed in tourniquet application. Additionally, the VR group was more likely to fail the tourniquet application due to improper tightening than the control group during the final assessment (p = 0.04).  Conclusion: In this pilot study, using a VR headset in conjunction with in-person training did not improve the efficacy and retention of tourniquet placement skills. Participants who received the VR intervention were more likely to have errors relating to haptics, rather than procedure-related errors.

Successful Pancreatic Cancer Screening Among Individuals at Elevated Risk Using Endoscopic Ultrasound and Magnetic Resonance Imaging: A Community Hospital Experience.

OBJECTIVES: Guidelines for testing individuals at risk (IAR) for developing pancreatic duct adenocarcinoma (PC) are being advanced from university hospital populations. We implemented a screen-in criteria and protocol for IAR for PC in our community hospital setting. METHODS: Eligibility was based on germline status and/or family history of PC. Longitudinal testing continued, alternating between endoscopic ultrasound (EUS) and magnetic resonance imaging (MRI). The primary objective was to analyze pancreatic conditions and their associations with risk factors. The secondary objective was to evaluate the outcomes and complications resulting from testing. RESULTS: Over 93 months, 102 individuals completed baseline EUS, and 26 (25%) met defined endpoints of any abnormal findings in the pancreas. Average enrollment was 40 months, and all participants with endpoints continued standard surveillance. Two participants (1.8%) had endpoint findings requiring surgery for premalignant lesions. Increasing age predicted for endpoint findings. Analysis of longitudinal testing suggested reliability between the EUS and MRI results. CONCLUSIONS: In our community hospital population, baseline EUS was effective in identifying the majority of findings; advancing age correlated with a greater chance of abnormalities. No differences were observed between EUS and MRI findings. Screening programs for PC among IAR can be successfully performed in the community setting.

Predictors for inpatient mortality during the first wave of the SARS-CoV-2 pandemic: A retrospective analysis.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic overwhelmed healthcare systems, highlighting the need to better understand predictors of mortality and the impact of medical interventions. METHODS: This retrospective cohort study examined data from every patient who tested positive for COVID-19 and was admitted to White Plains Hospital between March 9, 2020, and June 3, 2020. We used binomial logistic regression to analyze data for all patients, and propensity score matching for those treated with hydroxychloroquine and convalescent plasma (CP). The primary outcome of interest was inpatient mortality. RESULTS: 1,108 admitted patients with COVID-19 were available for analysis, of which 124 (11.2%) were excluded due to incomplete data. Of the 984 patients included, 225 (22.9%) died. Risk for death decreased for each day later a patient was admitted [OR 0.970, CI 0.955 to 0.985; p < 0.001]. Elevated initial C-reactive protein (CRP) value was associated with a higher risk for death at 96 hours [OR 1.007, 1.002 to 1.012; p = 0.006]. Hydroxychloroquine and CP administration were each associated with increased mortality [OR 3.4, CI 1.614 to 7.396; p = 0.002, OR 2.8560, CI 1.361 to 6.160; p = 0.006 respectively]. CONCLUSIONS: Elevated CRP carried significant odds of early death. Hydroxychloroquine and CP were each associated with higher risk for death, although CP was without titers and was administered at a median of five days from admission. Randomized or controlled studies will better describe the impact of CP. Mortality decreased as the pandemic progressed, suggesting that institutional capacity for dynamic evaluation of process and outcome measures may benefit COVID-19 survival.

C-H Functionalization of Amines via Alkene-Derived Nucleophiles through Cooperative Action of Chiral and Achiral Lewis Acid Catalysts: Applications in Enantioselective Synthesis.

Catalytic transformations of α-amino C-H bonds to afford valuable enantiomerically enriched α-substituted amines, entities that are prevalent in pharmaceuticals and bioactive natural products, have been developed. Typically, such processes are carried out under oxidative conditions and require precious metal-based catalysts. Here, we disclose a strategy for an enantioselective union of N-alkylamines and α,ß-unsaturated compounds, performed under redox-neutral conditions, and promoted through concerted action of seemingly competitive Lewis acids, B(C6F5)3, and a chiral Mg-PyBOX complex. Thus, a wide variety of ß-amino carbonyl compounds may be synthesized, with complete atom economy, through stereoselective reaction of an in situ-generated enantiomerically enriched Mg-enolate and an appropriate electrophile.