A5000012899- Nosocomial Infections in ICU
- Gut microbiota and health
- Antibiotic Use and Resistance
- Pneumonia and Respiratory Infections
- Pleural and Pulmonary Diseases
- Respiratory viral infections research
- ECG Monitoring and Analysis
- Clostridium difficile and Clostridium perfringens research
- Transplantation: Methods and Outcomes
- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- Respiratory Support and Mechanisms
- Sleep and related disorders
- Trauma Management and Diagnosis
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Intensive Care Unit Cognitive Disorders
- Youth Development and Social Support
- Inhalation and Respiratory Drug Delivery
- SARS-CoV-2 and COVID-19 Research
- Smoking Behavior and Cessation
- Child Development and Digital Technology
- Bullying, Victimization, and Aggression
- Head and Neck Cancer Studies
- Ultrasound in Clinical Applications
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
University of California, San Francisco
2018-2024
University of California System
2020-2022
San Francisco VA Health Care System
2020
Lower respiratory tract infections (LRTIs) lead to more deaths each year than any other infectious disease category. Despite this, etiologic LRTI pathogens are infrequently identified due limitations of existing microbiologic tests. In critically ill patients, noninfectious inflammatory syndromes resembling LRTIs further complicate diagnosis. To address the need for improved diagnostics, we performed metagenomic next-generation sequencing (mNGS) on tracheal aspirates from 92 adults with...
Abstract Background Antimicrobial resistance (AMR) is rising at an alarming rate and complicating the management of infectious diseases including lower respiratory tract infections (LRTI). Metagenomic next-generation sequencing (mNGS) a recently established method for culture-independent LRTI diagnosis, but its utility predicting AMR has remained unclear. We aimed to assess performance mNGS prediction in bacterial demonstrate proof concept epidemiological surveillance rapid gene detection...
Abstract Background Emerging data on the clinical presentation, diagnostics, and outcomes of patients with COVID-19 have largely been presented as case series. Few studies compared these features to other acute respiratory illnesses. Methods We examined all presenting an emergency department in San Francisco, California between February 3 March 31, 2020 illness who were tested for SARS-CoV-2. determined status by PCR metagenomic next generation sequencing (mNGS). demographics, comorbidities,...
Abstract Background Following early implementation of public health measures, San Francisco has experienced a slow rise and low peak level coronavirus disease 2019 (COVID-19) cases deaths. Methods Findings We included all patients with COVID-19 pneumonia admitted to the intensive care unit (ICU) at safety net hospital for through April 8, 2020. Each patient had ≥15 days follow-up. Among 26 patients, median age was 54 years (interquartile range, 43 62), 65% were men, 77% Latinx. Mechanical...
ABSTRACT Lower respiratory tract infections (LRTI) lead to more deaths each year than any other infectious disease category. Despite this, etiologic LRTI pathogens are infrequently identified due limitations of existing microbiologic tests. In critically ill patients, non-infectious inflammatory syndromes resembling further complicate diagnosis. To address the need for improved diagnostics, we performed metagenomic next-generation sequencing (mNGS) on tracheal aspirates from 92 adults with...
ABSTRACT Lower respiratory tract infections (LRTI) lead to more deaths each year than any other infectious disease category(1). Despite this, etiologic LRTI pathogens are infrequently identified due limitations of existing microbiologic tests(2). In critically ill patients, non-infectious inflammatory syndromes resembling further complicate diagnosis. To address the need for improved diagnostics, we performed metagenomic next-generation sequencing (mNGS) on tracheal aspirates from 92 adults...
Background: Recurrent pleural effusions are a major cause of morbidity and frequently lead to hospitalization. Indwelling catheters (IPCs) tunneled that allow ambulatory intermittent drainage fluid without repeated thoracentesis. Despite the efficacy safety IPCs, data supporting postplacement follow-up is limited variable. Our study aims characterize impact dedicated clinic (PC) on patient outcomes as they relate IPCs. Methods: Patients who underwent IPC placement between 2015 2021 were...
Background: Racial and socioeconomic disparities in healthcare access are well-documented. Minority rural populations face barriers often have limited to services facilities. Digital health solutions can help bridge these gaps. Previous studies examining digital usage patterns reported mixed findings, with some showing lower adoption among minority/underserved groups others finding no significant differences compared the general population. Hypothesis: patients would participate intervention...
Pleural effusions remain a common postoperative complication following lung transplantation, occurring in 10% to 26% of cases. We aimed explore potential clinical or radiographic features associated with clinically significant post-lung transplant pleural requiring repeat interventions for their management.
To examine the association of self-identified race with sleep quality in heavy smokers.
Abstract Introduction Observational research demonstrates a strong association between nightmares, insomnia, and sleep apnea in veterans with posttraumatic stress disorder (PTSD), supportive of the notion “complex disturbance”. Relations disturbances PTSD are often bi-directional disturbed affects non-sleep outcomes. We aimed to examine relationships respiratory events, CPAP use, insomnia trauma-exposed frequent nightmares. Methods Three weeks app-based daily diaries weekly severity index...
Background: Atrial fibrillation (AF) is the most common heart rhythm disorder and often requires inpatient monitoring for antiarrhythmic drug (AAD) initiation, specifically dofetilide sotalol. No system currently offers safe at-home AAD which needed to expand access low-risk or underserved patients reduce mortality. Objective: Assess accuracy of dosing using a computer-guided decision tree algorithm compared physician decisions. Methods: Patients in an all-comer population were instructed...
Introduction: We tested the first novel software application to accurately measure QTc using a machine learning algorithm from mobile ECG and recommend patient-specific antiarrhythmic drug (AAD) dosing. The was developed address disparities in AAD hospitalizations that disproportionately affect minority patients. evaluated usability of interface validated Post-Study System Usability Questionnaire (PSSUQ) Health App (MAUQ). Methods: Ten medical providers, 16 clinic staff, patients for remote...
Background: Antimicrobial resistance (AMR) is rising at an alarming rate and complicating the management of infectious diseases including lower respiratory tract infections (LRTI). Metagenomic next generation sequencing (mNGS) a recently established method for culture independent LRTI diagnosis, but its utility predicting AMR has remained unclear. We aimed to assess performance mNGS prediction in bacterial LRTI, feasibility epidemiological surveillance rapid gene detection using Cas9...