Lav P. Patel
A5029241721- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- Machine Learning in Healthcare
- COVID-19 and healthcare impacts
- Intensive Care Unit Cognitive Disorders
- Artificial Intelligence in Healthcare
- Biomedical Text Mining and Ontologies
- Thermal Regulation in Medicine
- COVID-19 and Mental Health
- Respiratory Support and Mechanisms
- Advanced Causal Inference Techniques
- Sepsis Diagnosis and Treatment
- Electronic Health Records Systems
- Data-Driven Disease Surveillance
- Global Cancer Incidence and Screening
- Cardiac Arrest and Resuscitation
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Chronic Disease Management Strategies
- Acute Kidney Injury Research
- Artificial Intelligence in Healthcare and Education
- Genomics and Rare Diseases
- COVID-19 diagnosis using AI
- Statistical Methods and Bayesian Inference
- Kawasaki Disease and Coronary Complications
University of Kansas Medical Center
2020-2024
University of Freiburg
2023
University of Kansas
2020-2022
Intas Pharmaceuticals (India)
2022
VA Boston Healthcare System
2022
Harvard University
2021
We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) 96 hospitals across five countries (www.covidclinical.net). Contributors utilized Informatics for Integrating Biology Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms map a common model. The group focused on temporal changes in key...
Coincident with the tsunami of COVID-19-related publications, there has been a surge studies using real-world data, including those obtained from electronic health record (EHR). Unfortunately, several these high-profile publications were retracted because concerns regarding soundness and quality EHR data they purported to analyze. These retractions highlight that although small community informatics experts can readily identify strengths flaws in EHR-derived studies, many medical editorial...
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...
While acute kidney injury (AKI) is a common complication in COVID-19, data on post-AKI function recovery and the clinical factors associated with poor lacking.
<h3>Importance</h3> Additional sources of pediatric epidemiological and clinical data are needed to efficiently study COVID-19 in children youth inform infection prevention treatment patients. <h3>Objective</h3> To describe international hospitalization trends key features with COVID-19. <h3>Design, Setting, Participants</h3> This retrospective cohort included patients hospitalized between February 2 October 10, 2020. Patient-level electronic health record (EHR) were collected across 27...
The risk profiles of post-acute sequelae COVID-19 (PASC) have not been well characterized in multi-national settings with appropriate controls. We leveraged electronic health record (EHR) data from 277 international hospitals representing 414,602 patients COVID-19, 2.3 million control without the inpatient and outpatient settings, over 221 diagnosis codes to systematically identify new-onset conditions enriched among during period. Compared controls, cases were at significant for angina...
Importance Positive airway pressure (PAP) is the first-line treatment for obstructive sleep apnea (OSA), but evidence on its beneficial effect major adverse cardiovascular events (MACE) and mortality prevention limited. Objective To determine whether PAP initiation utilization are associated with lower incidence of MACE among older adults OSA living in central US. Design, Setting, Participants This retrospective clinical cohort study included Medicare beneficiaries 2 or more distinct claims...
Many countries have experienced 2 predominant waves of COVID-19-related hospitalizations. Comparing the clinical trajectories patients hospitalized in separate pandemic enables further understanding evolving epidemiology, pathophysiology, and health care dynamics COVID-19 pandemic. In this retrospective cohort study, we analyzed electronic record (EHR) data from with SARS-CoV-2 infections participating systems representing 315 hospitals across 6 countries. We compared hospitalization rates,...
Background Hypertension and diabetes are associated with increased COVID-19 severity. The association between level of control these conditions severity is less well understood. Methods Results This retrospective cohort study identified adults COVID-19, March 2020 to February 2022, in 43 US health systems the National Patient-Centered Clinical Research Network. was categorized as blood pressure (BP) <130/80, 130 139/80 89, 140 159/90 99, or ≥160/100 mm Hg, glycated hemoglobin <7%, 7% <9%,...
ABSTRACT We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) 96 hospitals across 5 countries ( www.covidclinical.net ). Contributors utilized Informatics for Integrating Biology Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms map a common model. The group focused on comorbidities...
Abstract Background An increasing number of studies have described new and persistent symptoms conditions as potential post-acute sequelae SARS-CoV-2 infection (PASC). However, it remains unclear whether certain or occur more frequently among persons with compared those never infected SARS-CoV-2. We the occurrence specific COVID-associated PASC 31- to 150-day following a test adults children positive negative results. Methods conducted retrospective cohort study using electronic health...
Abstract Given the growing number of prediction algorithms developed to predict COVID-19 mortality, we evaluated transportability a mortality algorithm using multi-national network healthcare systems. We predicted baseline commonly measured laboratory values and standard demographic clinical covariates across systems, countries, continents. Specifically, trained Cox regression model with nine test values, demographics at admission, comorbidity burden pre-admission. These models were compared...
In young adults (18 to 49 years old), investigation of the acute respiratory distress syndrome (ARDS) after severe coronavirus 2 (SARS-CoV-2) infection has been limited. We evaluated risk factors and outcomes ARDS following with SARS-CoV-2 in a adult population.
Abstract Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test geographically diverse multinational populations during early pandemic, we used electronic health records (EHR) from 338 participating hospitals across 6 countries and 3 continents (January–September 2020) for cross-sectional analysis. We assessed frequency International...
The Greater Plains Collaborative (GPC) and other PCORnet Clinical Data Research Networks capture healthcare utilization within their health systems. Here, we describe a reusable environment (GPC Reusable Observable Unified Study Environment [GROUSE]) that integrates hospital electronic records (EHRs) data with state-wide Medicare Medicaid claims assess how clinical complement each to identify obesity related comorbidities in patient sample.EHR, billing, tumor registry from 7 systems were...
ABSTRACT Objectives To perform an international comparison of the trajectory laboratory values among hospitalized patients with COVID-19 who develop severe disease and identify optimal timing value collection to predict severity across hospitals regions. Design Retrospective cohort study. Setting The Consortium for Clinical Characterization by EHR (4CE), multi-site data-sharing collaborative 342 in US Europe. Participants Patients COVID-19, admitted before or after PCR-confirmed result...
Clinical data networks that leverage large volumes of in electronic health records (EHRs) are significant resources for research on coronavirus disease 2019 (COVID-19). Data harmonization is a key challenge seamless use multisite EHRs COVID-19 research. We developed application ontology the national Accrual to Trials (ACT) network enables elements critical The contains over 50 000 concepts domains diagnosis, procedures, medications, and laboratory tests. In particular, it has computational...
Objective To assess changes in international mortality rates and laboratory recovery during hospitalisation for patients hospitalised with SARS-CoV-2 between the first wave (1 March to 30 June 2020) second July 2020 31 January 2021) of COVID-19 pandemic. Design, setting participants This is a retrospective cohort study 83 178 admitted 7 days before or 14 after PCR-confirmed infection within Consortium Clinical Characterization by Electronic Health Record, an multihealthcare system...
Abstract OBJECTIVE Neurological complications can worsen outcomes in COVID-19. We defined the prevalence of a wide range neurological conditions among patients hospitalized with COVID-19 geographically diverse multinational populations. METHODS Using electronic health record (EHR) data from 348 participating hospitals across 6 countries and 3 continents between January September 2020, we performed cross-sectional study adult pediatric positive SARS-CoV-2 reverse transcription polymerase...
SARS-CoV-2 accesses host cells via angiotensin-converting enzyme-2, which is also affected by commonly used enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs), raising concerns that ACEI or ARB exposure may portend differential COVID-19 outcomes. In parallel cohort studies of outpatient inpatient COVID-19-diagnosed adults with hypertension, we assessed associations between antihypertensive (ACEI/ARB vs. non-ACEI/ARB antihypertensives, as well ACEI- ARB) at the time diagnosis,...
Abstract Background In electronic health records, patterns of missing laboratory test results could capture patients’ course disease as well reflect clinician’s concerns or worries for possible conditions. These are often understudied and overlooked. This study aims to characterize the missingness among data collected across 15 healthcare system sites in three countries COVID-19 inpatients. Methods We analyzed demographic, diagnosis, 69,939 patients with positive PCR tests from 1 January...
Introduction: Severe Cutaneous Adverse Reactions (SCADRs) are emergency dermatologic manifestations associated with high morbidity and mortality. Their management includes immediate withdrawal of suspected causal agent followed by prompt drugs such as corticosteroids, cyclosporine cyclophosphamide. Aim: To compare the effectiveness corticosteroids alone versus in SCADRs. Materials Methods: This was a prospective observational study carried out Indoor patients Dermatology Department, Civil...