Johanna Loomba
A5016180789- Long-Term Effects of COVID-19
- COVID-19 Clinical Research Studies
- COVID-19 and healthcare impacts
- Machine Learning in Healthcare
- COVID-19 diagnosis using AI
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Artificial Intelligence in Healthcare
- Neurological disorders and treatments
- Scientific Computing and Data Management
- COVID-19 and Mental Health
- Thermal Regulation in Medicine
- Emergency and Acute Care Studies
- Inflammasome and immune disorders
- Sepsis Diagnosis and Treatment
- Acute Ischemic Stroke Management
- Advanced MRI Techniques and Applications
- COVID-19 Impact on Reproduction
- Healthcare cost, quality, practices
- Obstructive Sleep Apnea Research
- Research Data Management Practices
- Asthma and respiratory diseases
- Heart Rate Variability and Autonomic Control
- Glioma Diagnosis and Treatment
- SARS-CoV-2 and COVID-19 Research
- Maternal and fetal healthcare
University of Virginia
2013-2024
Collaborative Research Group
2024
Cohort (United Kingdom)
2024
Translational Research Institute
2021-2022
Neurological Surgery
2013-2019
University of Virginia Health System
2019
Recent advances have enabled delivery of high-intensity focused ultrasound through the intact human cranium with magnetic resonance imaging (MRI) guidance. This preliminary study investigates use transcranial MRI-guided thalamotomy for treatment essential tremor.
Immune dysregulation is characteristic of the more severe stages SARS-CoV-2 infection. Understanding mechanisms by which immune system contributes to COVID-19 severity may open new avenues treatment. Here, we report that elevated IL-13 was associated with need for mechanical ventilation in 2 independent patient cohorts. In addition, patients who acquired while prescribed Dupilumab, a mAb blocks and IL-4 signaling, had less disease. SARS-CoV-2–infected mice, neutralization reduced death...
Stratification of patients with post-acute sequelae SARS-CoV-2 infection (PASC, or long COVID) would allow precision clinical management strategies. However, COVID is incompletely understood and characterised by a wide range manifestations that are difficult to analyse computationally. Additionally, the generalisability machine learning classification COVID-19 outcomes has rarely been tested.
Abstract Background Naming a newly discovered disease is difficult process; in the context of COVID-19 pandemic and existence post-acute sequelae SARS-CoV-2 infection (PASC), which includes long COVID, it has proven especially challenging. Disease definitions assignment diagnosis code are often asynchronous iterative. The clinical definition our understanding underlying mechanisms COVID still flux, deployment an ICD-10-CM for USA took nearly 2 years after patients had begun to describe their...
Abstract Long COVID, or complications arising from COVID-19 weeks after infection, has become a central concern for public health experts. The United States National Institutes of Health founded the RECOVER initiative to better understand long COVID. We used electronic records available through COVID Cohort Collaborative characterize association between SARS-CoV-2 vaccination and diagnosis. Among patients with infection August 1, 2021 January 31, 2022, we defined two cohorts using distinct...
MR imaging-guided focused sonography surgery is a new stereotactic technique that uses high-intensity to heat and ablate tissue. The goal of this study was describe imaging findings pre- post-ventralis intermedius nucleus lesioning by as treatment for essential tremor determine whether there an association between these features the clinical response sonography.Fifteen patients with medication-refractory prospectively gave consent; were enrolled in single-site, FDA-approved pilot trial;...
Abstract Objective In response to COVID-19, the informatics community united aggregate as much clinical data possible characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now largest publicly available HIPAA limited dataset in US history with over 6.4 million patients a testament partnership of 100 organizations. Materials Methods We developed pipeline for ingesting, harmonizing, centralizing from 56...
Abstract Background More than one-third of individuals experience post-acute sequelae SARS-CoV-2 infection (PASC, which includes long-COVID). The objective is to identify risk factors associated with PASC/long-COVID diagnosis. Methods This was a retrospective case–control study including 31 health systems in the United States from National COVID Cohort Collaborative (N3C). 8,325 PASC (defined by presence International Classification Diseases, version 10 code U09.9 or long-COVID clinic visit)...
Abstract Study Objectives Obstructive sleep apnea (OSA) has been associated with more severe acute coronavirus disease-2019 (COVID-19) outcomes. We assessed OSA as a potential risk factor for Post-Acute Sequelae of SARS-CoV-2 (PASC). Methods the impact preexisting on probable PASC in adults and children using electronic health record data from multiple research networks. Three networks within REsearching COVID to Enhance Recovery initiative (PCORnet Adult, PCORnet Pediatric, National Cohort...
Although the COVID-19 pandemic has persisted for over 3 years, reinfections with SARS-CoV-2 are not well understood. We aim to characterize reinfection, understand development of Long COVID after and compare severity reinfection initial infection.
Abstract Immune dysregulation is characteristic of the more severe stages SARS-CoV-2 infection. Understanding mechanisms by which immune system contributes to COVID-19 severity may open new avenues treatment. Here we report that elevated interleukin-13 (IL-13) was associated with need for mechanical ventilation in two independent patient cohorts. In addition, patients who acquired while prescribed Dupilumab had less disease. infected mice, IL-13 neutralization reduced death and disease...
Abstract Accurate stratification of patients with post-acute sequelae SARS-CoV-2 infection (PASC, or long COVID) would allow precision clinical management strategies. However, the natural history COVID is incompletely understood and characterized by an extremely wide range manifestations that are difficult to analyze computationally. In addition, generalizability machine learning classification COVID-19 outcomes has rarely been tested. We present a method for computationally modeling PASC...
Although the COVID-19 pandemic has persisted for over 2 years, reinfections with SARS-CoV-2 are not well understood. We use electronic health record (EHR)-based study cohort from National COVID Cohort Collaborative (N3C) as part of NIH Researching to Enhance Recovery (RECOVER) Initiative characterize reinfection, understand development Long after and compare severity reinfection initial infection. validate previous findings incidence (5.9%), occurrence most during Omicron epoch, evidence...
Object Intravenous sodium nitrite has been shown to prevent and reverse cerebral vasospasm in a primate model of subarachnoid hemorrhage (SAH). The present Phase IIA dose-escalation study was conducted determine the compound's safety humans with aneurysmal SAH establish its pharmacokinetics during 14-day infusion. Methods In 18 patients (3 cohorts 6 each) from ruptured aneurysm, patients) or saline infused. Sodium were delivered intravenously for 14 days, scheme used nitrite, maximum dose 64...
More than one-third of individuals experience post-acute sequelae SARS-CoV-2 infection (PASC, which includes long-COVID).
Naming a newly discovered disease is difficult process; in the context of COVID-19 pandemic and existence post-acute sequelae SARS-CoV-2 infection (PASC), which includes Long COVID, it has proven especially challenging. Disease definitions assignment diagnosis code are often asynchronous iterative. The clinical definition our understanding underlying mechanisms COVID still flux, deployment an ICD-10-CM for US took nearly two years after patients had begun to describe their condition. Here we...
Abstract Objectives To define pregnancy episodes and estimate gestational age within electronic health record (EHR) data from the National COVID Cohort Collaborative (N3C). Materials Methods We developed a comprehensive approach, named Hierarchy rule-based episode Inference integrated with Pregnancy Progression Signatures (HIPPS), applied it to EHR in N3C (January 1, 2018–April 7, 2022). HIPPS combines: (1) an extension of previously published algorithm, (2) novel algorithm detect...
We previously found that type 2 immunity promotes coronavirus disease 2019 (COVID-19) pathogenesis in a mouse model. To test relevance to human disease, we used electronic health record databases and determined patients on dupilumab (anti-interleukin [IL]-4R monoclonal antibody blocks IL-13 IL-4 signaling) at the time of COVID-19 infection had lower mortality.
OBJECTIVE: To investigate temporal trends and outcomes associated with early antibiotic prescribing in patients hospitalized COVID-19. DESIGN: Retrospective propensity-matched cohort study using the National COVID Cohort Collaborative (N3C) database. SETTING: Sixty-six health systems throughout United States that were contributing to N3C Centers had fewer than 500 admissions their dataset excluded. PATIENTS: Patients COVID-19 included. defined have use if they received at least 3 calendar...
ABSTRACT Background In 2021, we used the National COVID Cohort Collaborative (N3C) as part of NIH RECOVER Initiative to develop a machine learning (ML) pipeline identify patients with high probability having post-acute sequelae SARS-CoV-2 infection (PASC), or Long COVID. However, increased home testing, missing documentation, and reinfections that characterize latter years pandemic necessitate reengineering our original model account for these changes in COVID-19 research landscape. Methods...