Transcutaneous Electrical Spinal Cord Neuromodulator (TESCoN) Improves Symptoms of Overactive Bladder

Non-Surgical modality to reduce incidence of urinary incontinence and improve neurogenic bladder symptom scores (NBSS) in individuals with neurogenic bladder due to spinal cord injury or stroke

Factors Associated With Risk of Postdischarge Thrombosis in Patients With COVID-19

Importance: COVID-19 is associated with a high incidence of thrombotic events; however, the need for extended thromboprophylaxis after hospitalization remains unclear. Objective: To quantify the rate of postdischarge arterial and venous thromboembolism in patients with COVID-19, identify the factors associated with the risk of postdischarge venous thromboembolism, and evaluate the association of postdischarge anticoagulation use with venous thromboembolism incidence. Design, Setting, and Participants: This is a cohort study of adult patients hospitalized with COVID-19 confirmed by a positive SARS-CoV-2 test. Eligible patients were enrolled at 5 hospitals of the Henry Ford Health System from March 1 to November 30, 2020. Data analysis was performed from April to June 2021. Exposures: Anticoagulant therapy after discharge. Main Outcomes and Measures: New onset of symptomatic arterial and venous thromboembolic events within 90 days after discharge from the index admission for COVID-19 infection were identified using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. Results: In this cohort study of 2832 adult patients hospitalized with COVID-19, the mean (SD) age was 63.4 (16.7) years (IQR, 53-75 years), and 1347 patients (47.6%) were men. Thirty-six patients (1.3%) had postdischarge venous thromboembolic events (16 pulmonary embolism, 18 deep vein thrombosis, and 2 portal vein thrombosis). Fifteen (0.5%) postdischarge arterial thromboembolic events were observed (1 transient ischemic attack and 14 acute coronary syndrome). The risk of venous thromboembolism decreased with time (Mann-Kendall trend test, P \u3c .001), with a median (IQR) time to event of 16 (7-43) days. There was no change in the risk of arterial thromboembolism with time (Mann-Kendall trend test, P = .37), with a median (IQR) time to event of 37 (10-63) days. Patients with a history of venous thromboembolism (odds ratio [OR], 3.24; 95% CI, 1.34-7.86), peak dimerized plasmin fragment D (D-dimer) level greater than 3 μg/mL (OR, 3.76; 95% CI, 1.86-7.57), and predischarge C-reactive protein level greater than 10 mg/dL (OR, 3.02; 95% CI, 1.45-6.29) were more likely to experience venous thromboembolism after discharge. Prescriptions for therapeutic anticoagulation at discharge were associated with reduced incidence of venous thromboembolism (OR, 0.18; 95% CI, 0.04-0.75; P = .02). Conclusions and Relevance: Although extended thromboprophylaxis in unselected patients with COVID-19 is not supported, these findings suggest that postdischarge anticoagulation may be considered for high-risk patients who have a history of venous thromboembolism, peak D-dimer level greater than 3 μg/mL, and predischarge C-reactive protein level greater than 10 mg/dL, if their bleeding risk is low

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No Abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/50314/1/410190427_ftp.pd

Data of atrial arrhythmias in hospitalized COVID-19 and influenza patients

Atrial arrhythmias (AA) are common in hospitalized COVID-19 patients with limited data on their association with COVID-19 infection, clinical and imaging outcomes. In the related research article using retrospective research data from one quaternary care and five community hospitals, patients aged 18 years and above with positive SARS-CoV-2 polymerase chain reaction test were included. 6927 patients met the inclusion criteria. The data in this article provides demographics, home medications, in-hospital events and COVID-19 treatments, multivariable generalized linear regression regression models using a log link with a Poisson distribution (multi-parameter regression [MPR]) to determine predictors of new-onset AA and mortality in COVID-19 patients, computerized tomography chest scan findings, echocardiographic findings, and International Classification of Diseases-Tenth Revision codes. The clinical outcomes were compared to a propensity-matched cohort of influenza patients. For influenza, data is reported on baseline demographics, comorbid conditions, and in-hospital events. Generalized linear regression models were built for COVID-19 patients using demographic characteristics, comorbid conditions, and presenting labs which were significantly different between the groups, and hypoxia in the emergency room. Statistical analysis was performed using R programming language (version 4, ggplot2 package). Multivariable generalized linear regression model showed that, relative to normal sinus rhythm, history of AA (adjusted relative risk [RR]: 1.38; 95% CI: 1.11-1.71; p = 0.003) and newly-detected AA (adjusted RR: 2.02 95% CI: 1.68-2.43; p \u3c 0.001) were independently associated with higher in-hospital mortality. Age in increments of 10 years, male sex, White race, prior history of coronary artery disease, congestive heart failure, end-stage renal disease, presenting leukocytosis, hypermagnesemia, and hypomagnesemia were found to be independent predictors of new-onset AA in the MPR model. The dataset reported is related to the research article entitled Incidence, Mortality, and Imaging Outcomes of Atrial Arrhythmias in COVID-19 [Jehangir et al. Incidence, Mortality, and Imaging Outcomes of Atrial Arrhythmias in COVID-19, American Journal of Cardiology] [1]

Risk Factors Associated With Hospitalization and Death in COVID-19 Breakthrough Infections

BACKGROUND: Characterizations of coronavirus disease 2019 (COVID-19) vaccine breakthrough infections are limited. We aim to characterize breakthrough infections and identify risk factors associated with outcomes. METHODS: This was a retrospective case series of consecutive fully vaccinated patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a multicenter academic center in Southeast Michigan, between December 30, 2020, and September 15, 2021. RESULTS: A total of 982 patients were identified; the mean age was 57.9 years, 565 (59%) were female, 774 (79%) were White, and 255 (26%) were health care workers (HCWs). The median number of comorbidities was 2; 225 (23%) were immunocompromised. BNT162b2 was administered to 737 (75%) individuals. The mean time to SARS-CoV-2 detection was 135 days. The majority were asymptomatic or exhibited mild to moderate disease, 154 (16%) required hospitalization, 127 (13%) had severe-critical illness, and 19 (2%) died. Age (odds ratio [OR], 1.14; 95% CI, 1.04-1.07; P \u3c .001), cardiovascular disease (OR, 3.02; 95% CI, 1.55-5.89; P = .001), and immunocompromised status (OR, 2.57; 95% CI, 1.70-3.90; P \u3c .001) were independent risk factors for hospitalization. Additionally, age (OR, 1.06; 95% CI, 1.02-1.11; P = .006) was significantly associated with mortality. HCWs (OR, 0.15; 95% CI, 0.05-0.50; P = .002) were less likely to be hospitalized, and prior receipt of BNT162b2 was associated with lower odds of hospitalization (OR, 0.436; 95% CI, 0.303-0.626; P \u3c .001) and/or death (OR, 0.360; 95% CI, 0.145-0.898; P = .029). CONCLUSIONS: COVID-19 vaccines remain effective at attenuating disease severity. However, patients with breakthrough infections necessitating hospitalization may benefit from early treatment modalities and COVID-19-mitigating strategies, especially in areas with substantial or high transmission rates

Impact of the COVID-19 Pandemic on Acute Stroke Care, Time Metrics, Outcomes, and Racial Disparities in a Southeast Michigan Health System

BACKGROUND: COVID-19 has impacted acute stroke care with several reports showing worldwide drops in stroke caseload during the pandemic. We studied the impact of COVID-19 on acute stroke care in our health system serving Southeast Michigan as we rolled out a policy to limit admissions and transfers. METHODS: in this retrospective study conducted at two stroke centers, we included consecutive patients presenting to the ED for whom a stroke alert was activated during the period extending from 3/20/20 to 5/20/20 and a similar period in 2019. We compared demographics, time metrics, and discharge outcomes between the two groups. RESULTS: of 385 patients presented to the ED during the two time periods, 58% were African American. There was a significant decrease in the number of stroke patients presenting to the ED and admitted to the hospital between the two periods (p \u3c0.001). In 2020, patients had higher presenting NIHSS (median: 2 vs 5, p = 0.012), discharge NIHSS (median: 2 vs 3, p = 0.004), and longer times from LKW to ED arrival (4.8 vs 9.4 h, p = 0.031) and stroke team activation (median: 10 vs 15 min, p = 0.006). In 2020, stroke mimics rates were lower among African Americans. There were fewer hospitalizations (p \u3c0.001), and transfers from outside facilities (p = 0.015). CONCLUSION: a trend toward faster stroke care in the ED was observed during the pandemic along with dramatically reduced numbers of ED visits, hospitalizations and stroke mimics. Delayed ED presentations and higher stroke severity characterized the African American population, highlighting deepening of racial disparities during the pandemic

A Four-Year Multi-Center Retrospective Observational Study of Pediatric Emergency Medical Services Utilization in a Large Metropolitan Health System

Study Objectives: The COVID-19 pandemic has significantly decreased pediatric emergency department (ED) utilization. The objective of this study was to quantify the characteristics of pediatric EMS utilization both before and during the COVID-19 pandemic in a metropolitan health care system. Methods: We performed a multi-center, retrospective observational study of all pediatric ED visits between 1/1/2018 and 12/31/2021, that presented to one of nine EDs within our health system. The data were sorted by mode of arrival; children arriving to the ED via EMS, or arrival by other means. Data collection included a variety of demographic and clinical variables. We compared overall pediatric ED patients’ arrival methods as well as ED and EMS volumes by year using a binomial test with a null hypothesis that the population proportion equals 50%. Analysis compared ED mode of arrival, admission rate, and Emergency Severity Index (ESI) triage scores using chi-square tests. Results: There were 201,313 pediatric ED encounters for 118,744 unique patients meeting the inclusion criteria. There were 8,815 (4.38%) children who arrived via EMS compared to 192,498 (95.62%) children who arrived by other means (p \u3c 0.0001). Children who arrived via EMS had a higher admission rate of 22.27% (1963) compared to 5.9% (11,351, p \u3c 0.0001). ESI among children arriving via EMS was higher, with 44.3% (3847) having ESI 1 or 2 triage scores compared to 8.8% (16,790) for children arriving by other means (p \u3c 0.0001). Overall pediatric ED mortality was 0.03% (61 deaths), with 86.9% (53) of those children arriving via EMS (p \u3c 0.0001). Pediatric ED and EMS volumes in 2018 and 2019 pre-pandemic were 127,652 ED visits and 5,306 EMS visits, respectively, compared to 73,661 and 3,509 visits in 2020 and 2021. This represents a 42.3% overall reduction in pediatric ED visits (p \u3c 0.0001) and a 33.9% reduction in pediatric EMS visits (p \u3c 0.0001). Conclusion: Approximately 5% of pediatric ED encounters in our health system arrived via EMS. These children appeared to have higher acuity presentations and required inpatient services more often than children who arrived by other means. Pediatric ED and EMS encounters have decreased substantially since the onset of the pandemic