Prehospital Assaults Against Asian Americans, Native Hawaiians, and Pacific Islanders During COVID-19.

INTRODUCTION: Anti-Asian sentiment increased when the SARS-CoV-2 virus reached the United States in 2020. Trends in national assaults occurring during the COVID-19 pandemic in the Asian American, Native Hawaiian, and Pacific Islander (AANHPI) community were evaluated. METHODS: Patients treated for assaults by emergency medical services between January 2019 and December 2021 were extracted from ImageTrend Collaborate, a national database. Multivariable logistic regression models, adjusting for age, sex, and urbanicity, were used to compare assault rates overall and in the AANHPI population. RESULTS: There were 84,825 assaults (8.5% of injury incidents) in 2019; 96,314 (9.2%) in 2020; and 97,841 (8.4%) in 2021. Assaults against AANHPI increased from 870 (7.1 assaults per 100 injuries) to 987 (8.3) and 1150 (7.9) between 2019 and 2021, respectively. Compared to 2019, risk of assaults in 2020 in all races increased (OR 1.08; 1.07, 1.10) but decreased in 2021 (OR 0.97; 0.96, 0.98). However, among AANHPI, risk of assaults increased in both 2020 (OR 1.22; 1.10, 1.35) and 2021 (OR 1.13; 1.03, 1.25). Most AANHPI assault victims were between 25 and 34 y old (11.8% in 2019) with an increase in 2020 (15.6%) and 2021 (14.4%). Assaults against AANHPI with blunt and sharp objects increased annually from 2019 to 2021. CONCLUSIONS: Despite national decreases of assaults in 2021 to pre-COVID baseline, the rate of assaults treated by emergency medical services for the AANHPI population remained elevated. Further studies analyzing in-hospital assault trends will allow for better understanding and will quantify the impact the pandemic and surrounding social influences had on minorities across the United States.

Investigating the hemodynamics of Berlin Heart EXCOR support in Norwood patients across diverse clinical scenarios with computational modeling.

BACKGROUND: Infants with single-ventricle (SV) physiology undergo the 3-stage Fontan surgery. Norwood patients, who have completed the first stage, face the highest interstage mortality. The Berlin Heart EXCOR (BH), a pediatric pulsatile ventricular assist device, has shown promise in supporting these patients. However, clinical questions regarding device configurations prevent optimal support. METHODS: We developed a combined idealized mechanics-lumped parameter model of a Norwood patient and simulated two additional patient-specific cases: pulmonary hypertension (PH) and post-operative treatment with milrinone. We quantified the effects of BH support across different device volumes, rates, and inflow connections on patient hemodynamics and BH performance. RESULTS: Increasing device volume and rate increased cardiac output, but with unsubstantial changes in specific arterial oxygen content. We identified distinct SV-BH interactions that may impact patient myocardial health and contribute to poor clinical outcomes. Our results suggested BH settings for patients with PH and for patients treated post-operatively with milrinone. CONCLUSIONS: We present a computational model to characterize and quantify patient hemodynamics and BH support for infants with Norwood physiology. Our results emphasized that oxygen delivery does not increase with BH rate or volume, which may not meet patient needs and contribute to suboptimal clinical outcomes. Our findings demonstrated that an atrial BH may provide optimal cardiac loading for patients with diastolic dysfunction. Meanwhile, a ventricular BH decreased active stress in the myocardium and countered the effects of milrinone. Patients with PH showed greater sensitivity to device volume. In this work, we demonstrate the adaptability of our model to analyze BH support across varied clinical situations.

The Impact of Telemedicine Adoption on a Multidisciplinary Bariatric Surgery Practice During the COVID-19 Pandemic.

OBJECTIVE: This study aims to show how full-time telemedicine adoption has impacted patient visit volume and attendance in a comprehensive metabolic and weight loss center. SUMMARY BACKGROUND DATA: Elective surgical practices have been profoundly impacted by the global COVID-19 pandemic, leading to a rapid increase in the utilization of telemedicine. The abrupt initiation of audio-video telehealth visits for all providers of a multidisciplinary clinic on March 19 2020 provided unique circumstances to assess the impact of telemedicine. METHODS: Data from the clinical booking system (new patient and follow-up visits) for all clinical provider types of the multidisciplinary metabolic center from the pre-telehealth, post-telehealth, and a 2019 comparative period were retrospectively reviewed and compared. The primary outcome is the change in patient visit volume for all clinical providers from before to after the initiation of telemedicine for both new patient, and follow-up visits. RESULTS: There were a total of 506 visits (162 new patient visits, and 344 follow-ups) in the pre-telehealth period, versus 413 visits (77 new patient visits, and 336 follow-ups) during the post-telehealth period. After telehealth implementation, new visits for surgeons decreased by 75%. Although follow-up visits decreased by 55.06% for surgeons, there was an increase by 27.36% for advanced practitioners. When surgeons were separated from other practitioners, their follow-up visit rate decrease by 55.06%, compared to a 16.08% increase for the group of all other practitioners (P < 0.0001). Dietitians experienced higher rates of absenteeism with new patient visits (10.00% vs 31.42%, P = 0.0128), whereas bariatricians experienced a decrease in follow-up visit absenteeism (33.33% vs 0%, P = 0.0093). CONCLUSIONS: Although new patient visit volume fell across the board, follow-up visits increased for certain nonsurgical providers. This provides a template for adoption of a multidisciplinary telehealth clinic in a post-pandemic world.

Acute Appendicitis in the Epicenter of the COVID-19 Pandemic: A New York City Single-Center Experience.

BACKGROUND: Appendectomy is the gold standard for simple appendicitis. During the coronavirus-19 pandemic, it was estimated that appendectomies in the United States decreased by 24%. We aimed to describe trends in acute appendicitis management at a center located in one of the largest epicenters of the pandemic. METHODS: This is a retrospective cohort study in a single institution located in Queens, New York, of patients who presented with acute appendicitis. A pre-COVID time period, March-June 2019, was compared to peak-COVID, March-June 2020, and late-COVID, March-June 2021. RESULTS: Of the 382 patients admitted with appendicitis during the time periods, 164 were admitted pre-COVID. Appendicitis presentations decreased by 44% during peak-COVID and 23% in late-COVID. Patients were younger during peak-COVID compared to pre-COVID (39 vs 34 years old, P = .036). Incidence of complicated appendicitis in pre-, peak-, and late-COVID was equivalent (41% vs 46% vs 45%) and operative management was similar (85% vs 76% vs 79%). Non-operative patients had shorter lengths of stay (pre- vs peak-COVID: 4.6 vs 2.9 days, P = .006). Readmission rates were similar between the cohorts across time periods. CONCLUSIONS: During peak-COVID, there was a significant decrease in presentation of acute appendicitis but clinical presentation and outcomes remained similar between the cohorts. Patients who were managed non-operatively may be discharged earlier without increased rates of readmissions.

Impact of Measurement Noise on Genetic Association Studies of Cardiac Function.

Recent research has effectively used quantitative traits from imaging to boost the capabilities of genome-wide association studies (GWAS), providing further understanding of disease biology and various traits. However, it's important to note that phenotyping inherently carries measurement error and noise that could influence subsequent genetic analyses. The study focused on left ventricular ejection fraction (LVEF), a vital yet potentially inaccurate quantitative measurement, to investigate how imprecision in phenotype measurement affects genetic studies. Several methods of acquiring LVEF, along with simulating measurement noise, were assessed for their effects on ensuing genetic analyses. The results showed that by introducing just 7.9% of measurement noise, all genetic associations in an LVEF GWAS with almost forty thousand individuals could be eliminated. Moreover, a 1% increase in mean absolute error (MAE) in LVEF had an effect equivalent to a 10% reduction in the sample size of the cohort on the power of GWAS. Therefore, enhancing the accuracy of phenotyping is crucial to maximize the effectiveness of genome-wide association studies.

Impact of Measurement Imprecision on Genetic Association Studies of Cardiac Function.

Background: Recent studies have leveraged quantitative traits from imaging to amplify the power of genome-wide association studies (GWAS) to gain further insights into the biology of diseases and traits. However, measurement imprecision is intrinsic to phenotyping and can impact downstream genetic analyses. Methods: Left ventricular ejection fraction (LVEF), an important but imprecise quantitative imaging measurement, was examined to assess the impact of precision of phenotype measurement on genetic studies. Multiple approaches to obtain LVEF, as well as simulated measurement noise, were evaluated with their impact on downstream genetic analyses. Results: Even within the same population, small changes in the measurement of LVEF drastically impacted downstream genetic analyses. Introducing measurement noise as little as 7.9% can eliminate all significant genetic associations in an GWAS with almost forty thousand individuals. An increase of 1% in mean absolute error (MAE) in LVEF had an equivalent impact on GWAS power as a decrease of 10% in the cohort sample size, suggesting optimizing phenotyping precision is a cost-effective way to improve power of genetic studies. Conclusions: Improving the precision of phenotyping is important for maximizing the yield of genome-wide association studies.

Age-Stratified Lithium Therapeutic Ranges for Older Adults with Bipolar Disorder - from Awareness to an Action Plan.

Lithium is the first-line treatment for maintenance therapy in bipolar disorder. It is an effective mood stabilizer agent, and may have potential benefits in neuroprotection and reducing the risk of suicide. Toxicity has been a concern in recent decades, particularly in older adults (≥60 years). In 2019, the Older Adults Task Force within the International Society for Bipolar Disorder (ISBD) published recommendations for age-stratified lithium therapeutic ranges for therapy of Older Age Bipolar Disorder (OABD), namely 0.4 - 0.8 mmol/L for ages 60 to 79 and 0.4 - 0.7 mmol/L for ages 80 and above. Clinical laboratory practice surveys in Canada indicated that adoption and implementation of the proposed ranges has been limited to date. In this article, we describe the approach and steps taken to evaluate and implement recommended lithium therapeutic ranges in Ontario and other provinces in Canada for laboratory quality improvement. Sources of variation in lithium reporting practices are discussed and shared here to highlight potential barriers to implementation. The overall goal of this article is to bring attention across the global laboratory community that lower lithium therapeutic target ranges in older patients are crucial for patient safety in OABD.

Deep learning-enabled analysis of medical images identifies cardiac sphericity as an early marker of cardiomyopathy and related outcomes.

BACKGROUND: Quantification of chamber size and systolic function is a fundamental component of cardiac imaging. However, the human heart is a complex structure with significant uncharacterized phenotypic variation beyond traditional metrics of size and function. Examining variation in cardiac shape can add to our ability to understand cardiovascular risk and pathophysiology. METHODS: We measured the left ventricle (LV) sphericity index (short axis length/long axis length) using deep learning-enabled image segmentation of cardiac magnetic resonance imaging data from the UK Biobank. Subjects with abnormal LV size or systolic function were excluded. The relationship between LV sphericity and cardiomyopathy was assessed using Cox analyses, genome-wide association studies, and two-sample Mendelian randomization. FINDINGS: In a cohort of 38,897 subjects, we show that a one standard deviation increase in sphericity index is associated with a 47% increased incidence of cardiomyopathy (hazard ratio [HR]: 1.47, 95% confidence interval [CI]: 1.10-1.98, p = 0.01) and a 20% increased incidence of atrial fibrillation (HR: 1.20, 95% CI: 1.11-1.28, p < 0.001), independent of clinical factors and traditional magnetic resonance imaging (MRI) measurements. We identify four loci associated with sphericity at genome-wide significance, and Mendelian randomization supports non-ischemic cardiomyopathy as causal for LV sphericity. CONCLUSIONS: Variation in LV sphericity in otherwise normal hearts predicts risk for cardiomyopathy and related outcomes and is caused by non-ischemic cardiomyopathy. FUNDING: This study was supported by grants K99-HL157421 (D.O.) and KL2TR003143 (S.L.C.) from the National Institutes of Health.

Radiographic cervical spine injury patterns in admitted blunt trauma patients with and without prehospital spinal motion restriction.

Objectives: Selective prehospital cervical spine motion restriction (C-SMR) following blunt trauma has increasingly been used by emergency medical service (EMS) providers. We determined rates of prehospital C-SMR and concomitant radiographic injury patterns. Methods: A retrospective trauma registry and chart review was conducted for all adult blunt trauma patients who were transported by EMS and hospitalized with radiographic cervical spine injuries from 2011 to 2019 at a level 1 trauma center. Results: Of 658 admitted blunt trauma patients with confirmed cervical spine injury by imaging, 117 (17.8%) did not receive prehospital C-SMR. Patients without prehospital C-SMR were significantly older (76 vs 54 years), more often had low fall as mechanism of injury (59.8% vs 15.9%) and had lower Injury Severity Score (10 vs 17). Patients without C-SMR (Non-SMR) experienced the full array of cervical spine injury types and locations. While the non-SMR patients most often had dens fractures,C-SMR patients most often had C7 fractures; frequencies of fractures at the remaining vertebral levels were comparable. On MRI, cervical spinal cord (8.5% vs 19.6%) and ligamentous injuries (5.1% vs 12.6%) occurred less often in non-SMR patients. Approximately 8.5% of non-SMR patients and 20% of C-SMR patients required cervical spine surgery. Conclusion: Patients without prehospital C-SMR demonstrate a broad array of cervical spine injuries. While the rates of certain cervical injuries are lower in prehospital non-SMR patients, they are not insignificant. Level of evidence: Level III.

A Mechanistic Lumped Parameter Model of the Berlin Heart EXCOR to Analyze Device Performance and Physiologic Interactions.

PURPOSE: The Berlin Heart EXCOR (BH) is the only FDA-approved, extracorporeal pulsatile ventricular assist device (VAD) for infants and children with heart failure. Clinicians control four settings on the device-systolic and diastolic drive pressures, device pump rate, and systolic time as a percentage of the pump cycle. However, interactions between BH pneumatics and the native circulation remain poorly understood. Thus, establishing appropriate device size and settings can be challenging on a patient-to-patient basis. METHODS: In this study we develop a novel lumped parameter network based on simplified device mechanics. We perform parametric studies to characterize device behavior, study interactions between the left ventricle (LV) and BH across different device settings, and develop patient-specific simulations. We then simulate the impact of changing device parameters for each of three patients. RESULTS: Increasing systolic pressure and systolic time increased device output. We identified previously unobserved cycle-to-cycle variations in LV-BH interactions that may impact patient health. Patient-specific simulations demonstrated the model's ability to replicate BH performance, captured trends in LV behavior after device implantation, and emphasized the importance of device rate and volume in optimizing BH efficiency. CONCLUSION: We present a novel, mechanistic model that can be readily adjusted to study a wide range of device settings and clinical scenarios. Physiologic interactions between the BH and the native LV produced large variability in cardiac loading. Our findings showed that operating the BH at a device rate greater than the patient's native heart decreases variability in physiological interactions between the BH and LV, increasing cardiac offloading while maintaining cardiac output. Device rates that are close to the resting heart rate may result in unfavorable cardiac loading conditions. Our work demonstrates the utility of our model to investigate BH performance for patient-specific physiologies.

Novel electronic biosensor for automated inoculum preparation to accelerate antimicrobial susceptibility testing.

A key predictor of morbidity and mortality for patients with a bloodstream infection is time to appropriate antimicrobial therapy. Accelerating antimicrobial susceptibility testing from positive blood cultures is therefore key to improving patient outcomes, yet traditional laboratory approaches can require 2-4 days for actionable results. The eQUANT-a novel instrument utilizing electrical biosensors-produces a standardized inoculum equivalent to a 0.5 McFarland directly from positive blood cultures. This proof-of-concept study demonstrates that eQUANT inocula prepared from clinically significant species of Enterobacterales were comparable to 0.5 McF inocula generated from bacterial colonies in both CFU/ml concentration and performance in antimicrobial susceptibility testing, with ≥ 95% essential and categorical agreement for VITEK2 and disk diffusion. The eQUANT, combined with a rapid, direct from positive blood culture identification technique, can allow the clinical laboratory to begin antimicrobial susceptibility testing using a standardized inoculum approximately 2-3 h after a blood culture flags positive. This has the potential to improve clinical practice by accelerating conventional antimicrobial susceptibility testing and the resulting targeted antibiotic therapy.

The COVID-19 Pandemic as an Opportunity for Operational Innovation at 2 Student-Run Free Clinics.

The onset of the COVID-19 pandemic and subsequent county shelter-in-place order forced the Cardinal Free Clinics (CFCs), Stanford University's 2 student-run free clinics, to close in March 2020. As student-run free clinics adhering to university-guided COVID policies, we have not been able to see patients in person since March of 2020. However, the closure of our in-person operations provided our student management team with an opportunity to innovate. In consultation with Stanford's Telehealth team and educators, we rapidly developed a telehealth clinic model for our patients. We adapted available telehealth guidelines to meet our patient care needs and educational objectives, which manifested in 3 key innovations: reconfigured clinic operations, an evidence-based social needs screen to more effectively assess and address social needs alongside medical needs, and a new telehealth training module for student volunteers. After 6 months of piloting our telehealth services, we believe that these changes have made our services and operations more robust and provided benefit to both our patients and volunteers. Despite an uncertain and evolving public health landscape, we are confident that these developments will strengthen the future operations of the CFCs.