A5068185444- Sleep and Wakefulness Research
- Sleep and related disorders
- Machine Learning in Healthcare
- Long-Term Effects of COVID-19
- Intensive Care Unit Cognitive Disorders
- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- EEG and Brain-Computer Interfaces
- Obstructive Sleep Apnea Research
- Dementia and Cognitive Impairment Research
- Respiratory Support and Mechanisms
- Cancer-related cognitive impairment studies
- COVID-19 and healthcare impacts
- Cognitive Abilities and Testing
- Chronic Disease Management Strategies
- COVID-19 and Mental Health
- Topic Modeling
- Receptor Mechanisms and Signaling
- Restless Legs Syndrome Research
- Neuroscience and Neuropharmacology Research
- Heart Rate Variability and Autonomic Control
- Health, Environment, Cognitive Aging
- Artificial Intelligence in Healthcare and Education
- Emergency and Acute Care Studies
- Anesthesia and Sedative Agents
Massachusetts General Hospital
2020-2023
Louisiana State University Health Sciences Center Shreveport
2023
Neurology, Inc
2021-2023
Beth Israel Deaconess Medical Center
2023
Washington University in St. Louis
2023
Marion General Hospital
2021
Harvard University
2020
Boston University
2020
University of California, Los Angeles
2017
<h3>Importance</h3> Dementia is an increasing cause of disability and loss independence in the elderly population yet remains largely underdiagnosed. A biomarker for dementia that can identify individuals with or at risk developing may help close this diagnostic gap. <h3>Objective</h3> To investigate association between a sleep electroencephalography-based brain age index (BAI), difference chronological estimated using electroencephalogram, dementia. <h3>Design, Setting, Participants</h3> In...
We sought to develop an automatable score predict hospitalization, critical illness, or death for patients at risk coronavirus disease 2019 (COVID-19) presenting urgent care.We developed the COVID-19 Acuity Score (CoVA) based on a single-center study of adult outpatients seen in respiratory illness clinics emergency department. Data were extracted from Partners Enterprise Warehouse, and split into development (n = 9381, 7 March-2 May) prospective 2205, 3-14 cohorts. Outcomes (intensive care...
Cognitive deficits in schizophrenia have been hypothesized to reflect N-methyl-D-aspartate receptor (NMDAR) dysfunction. However, the mechanisms through which NMDAR contributes individual cognitive functions differ. To explore how signaling relates specific schizophrenia, we tested effects of enhancing on working memory and experience-dependent plasticity using d-cycloserine (DCS). Plasticity was assessed an EEG paradigm that utilizes high-frequency visual stimulation (HFvS) induce neural...
Neurologic disability level at hospital discharge is an important outcome in many clinical research studies. Outside of trials, neurologic outcomes must typically be extracted by labor intensive manual review notes the electronic health record (EHR). To overcome this challenge, we set out to develop a natural language processing (NLP) approach that automatically reads determine outcomes, make it possible conduct larger scale We obtained 7314 from 3632 patients hospitalized two large Boston...
Patterns of electrical activity in the brain (EEG) during sleep are sensitive to various health conditions even at subclinical stages. The objective this study was estimate EEG-predicted incidence future neurologic, cardiovascular, psychiatric, and mortality outcomes.
Age-related comorbidities and immune activation raise concern for advanced brain aging in people living with HIV (PLWH). The age index (BAI) is a machine learning model that quantifies deviations activity during sleep relative to healthy individuals of the same age. High BAI was previously found be associated neurological, psychiatric, cardiometabolic diseases, reduced life expectancy among without HIV. Here, we estimated effect infection on by comparing PLWH HIV- controls.Clinical data EEGs...
Background Delirium in hospitalized patients is a syndrome of acute brain dysfunction. Diagnostic (International Classification Diseases [ICD]) codes are often used studies using electronic health records (EHRs), but they inaccurate. Objective We sought to develop more accurate method natural language processing (NLP) detect delirium episodes on the basis unstructured clinical notes. Methods collected 1.5 million notes from >10,000 among 9 hospitals. Seven experts iteratively labeled...
Background Medical notes are a rich source of patient data; however, the nature unstructured text has largely precluded use these data for large retrospective analyses. Transforming clinical into structured can enable large-scale research studies with electronic health records (EHR) data. Natural language processing (NLP) be used information retrieval, reducing need labor-intensive chart review. Here we present an application NLP to analysis medical at 2 hospitals patients hospitalized...
ABSTRACT Background We sought to develop an automatable score predict hospitalization, critical illness, or death in patients at risk for COVID-19 presenting urgent care during the Massachusetts outbreak. Methods Single-center study of adult outpatients seen respiratory illness clinics (RICs) emergency department (ED), including development (n = 9381, March 7-May 2) and prospective 2205, May 3-14) cohorts. Data was queried from Partners Enterprise Warehouse. Outcomes were within 7 days....
Abstract Sleep electroencephalogram (EEG) signals likely encode brain health information that may identify individuals at high risk for age-related diseases. Here, we evaluate the correlation of a previously proposed age biomarker, “brain index” (BAI), with cognitive test scores and use machine learning to develop validate series new sleep EEG-based indices, termed “sleep indices” (SCIs), are directly optimized correlate specific scores. Three overarching processes were examined: total,...
Objectives: Patients with comorbidities are at increased risk for poor outcomes in COVID-19, yet data on patients prior neurological disease remains limited. Our objective was to determine the odds of critical illness and duration mechanical ventilation cerebrovascular COVID-19. Methods: A observational study 1,128 consecutive adult admitted an academic center Boston, Massachusetts, diagnosed laboratory-confirmed We tested association between illness, defined as (MV) or death by day 28,...
Background: Data supporting dementia as a risk factor for COVID-19 mortality relied on ICD-10 codes, yet nearly 40% of individuals with probable lack formal diagnosis. Dementia coding is not well-established people HIV (PWH), and its reliance may affect assessment. Methods: This retrospective cohort analysis PWH SARS-CoV-2 polymerase chain reaction positivity includes comparisons to without (PWoH), matched by age, sex, race, zipcode. Primary exposures were diagnosis, cognitive concerns,...
Abstract Background Despite higher prevalence of cognitive disorders in people with human immunodeficiency virus (PWH) and dementia being a risk factor for COVID-19 mortality, the association between adverse outcomes PWH has not been well established. Methods This was matched case-control study (1:10) patients without HIV at an academic institution documented SARS-CoV-2 polymerase chain reaction (PCR) positivity from March 2020-March 2021. Data were extracted electronic health record data...
<sec> <title>BACKGROUND</title> Medical notes are a rich source of patient data; however, the nature unstructured text has largely precluded use these data for large retrospective analyses. Transforming clinical into structured can enable large-scale research studies with electronic health records (EHR) data. Natural language processing (NLP) be used information retrieval, reducing need labor-intensive chart review. Here we present an application NLP to analysis medical at 2 hospitals...
<sec> <title>BACKGROUND</title> Delirium in hospitalized patients is a syndrome of acute brain dysfunction. Diagnostic (International Classification Diseases [ICD]) codes are often used studies using electronic health records (EHRs), but they inaccurate. </sec> <title>OBJECTIVE</title> We sought to develop more accurate method natural language processing (NLP) detect delirium episodes on the basis unstructured clinical notes. <title>METHODS</title> collected 1.5 million notes from...
<h3>Objective:</h3> To assess the contribution of cognitive symptoms to risk mortality from COVID-19 in people with HIV (PWH). <h3>Background:</h3> Despite higher prevalence disorders PWH and dementia being a factor for mortality, association between impairment adverse outcomes has not been well established. <h3>Design/Methods:</h3> Matched case-control study (1:10) without (PWoH) documented SARS-CoV-2 PCR positivity March 2020-March 2021 evaluated at Boston-based healthcare system. Data...
Monday, April 27April 14, 2020Free AccessValidation of Sleep EEG-based Brain Age Index for Dementia-related Diseases (4427)Elissa Ye, Haoqi Sun, Luis Paixao, Robert Thomas, Alice Lam, and M. WestoverAuthors Info & AffiliationsApril 2020 issue94 (15_supplement)https://doi.org/10.1212/WNL.94.15_supplement.4427 Letters to the Editor
Abstract Introduction Sleep contains rich information about health status, relevant to future outcomes including dementia, cerebrocardiovascular diseases, psychiatric and mortality. We hypothesized that the risk of these is predictable from quantitative analysis sleep microstructure. Methods included participants who underwent a diagnostic study age older than 18 years. excluded with missing demographics or PSGs &lt; 2.5 hours in duration. considered 11 mild cognitive impairment ischemic...
Abstract Introduction Sleep in the intensive care unit (ICU) is difficult to measure by conventional polysomnography. We investigated feasibility of assessing sleep state from readily available ICU signals: heart rate variability (HRV) electrocardiography and breathing a wearable respiratory band. compared findings with an age sex matched laboratory group. Methods As part clinical trial, 102 adult non-ventilated patients three ICUs Massachusetts General Hospital wore Both (RR-intervals) ECG,...
Objective: To determine the odds of critical illness by day 28 and duration mechanical ventilation (MV) over 45-day observation period in patients with history cerebrovascular disease COVID-19. Background: COVID-19-associated morbidity is correlated multiple factors including age, comorbidities, host response to virus. Our understanding risk due prior neurological conditions remains limited. Here, we hypothesized that a factor for severe outcomes COVID-19, increased MV. Design/Methods: A...