Pratik Sinha
A5051494461- Respiratory Support and Mechanisms
- Sepsis Diagnosis and Treatment
- Intensive Care Unit Cognitive Disorders
- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- Neonatal Respiratory Health Research
- SARS-CoV-2 and COVID-19 Research
- Immune Response and Inflammation
- Thermal Regulation in Medicine
- Cardiac Arrest and Resuscitation
- Hemodynamic Monitoring and Therapy
- Inflammasome and immune disorders
- Metabolomics and Mass Spectrometry Studies
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Anesthesia and Neurotoxicity Research
- Immune cells in cancer
- Mechanical Circulatory Support Devices
- COVID-19 diagnosis using AI
- Biosensors and Analytical Detection
- Drug-Induced Hepatotoxicity and Protection
- Adrenal Hormones and Disorders
- Advanced Biosensing Techniques and Applications
- Machine Learning in Healthcare
- Radiomics and Machine Learning in Medical Imaging
- Diabetes Management and Research
Washington University in St. Louis
2020-2025
University of California, San Francisco
2018-2025
Max Weber Stiftung - Deutsche Geisteswissenschaftliche Institute im Ausland
2024
University of California System
2018-2023
Barnes-Jewish Hospital
2023
Medical Research Institute of New Zealand
2023
University of Auckland
2023
Middlemore Hospital
2023
Auckland City Hospital
2023
Saint Louis University
2022
Although infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has pleiotropic and systemic effects in some individuals1-3, many others experience milder symptoms. Here, to gain a more comprehensive understanding of the distinction between mild phenotypes pathology disease 2019 (COVID-19) its origins, we performed whole-blood-preserving single-cell analysis protocol integrate contributions from all major immune cell types blood-including neutrophils, monocytes,...
Pulmonary dead space fraction (Vd/Vt) is an independent predictor of mortality in acute respiratory distress syndrome (ARDS). Yet, it seldom used practice. The ventilatory ratio a simple bedside index that can be calculated using routinely measured variables and measure impaired ventilation. Ventilatory defined as [minute ventilation (ml/min) × Pa
Rationale: Two distinct subphenotypes have been identified in acute respiratory distress syndrome (ARDS), but the presence of subgroups ARDS associated with coronavirus disease (COVID-19) is unknown. Objectives: To identify clinically relevant, novel COVID-19-related and compare them previously described subphenotypes. Methods: Eligible participants were adults COVID-19 at Columbia University Irving Medical Center. Latent class analysis was used to baseline clinical, respiratory, laboratory...
Rationale: Two distinct phenotypes of acute respiratory distress syndrome (ARDS) with differential clinical outcomes and responses to randomly assigned treatment have consistently been identified in randomized controlled trial cohorts using latent class analysis. Plasma biomarkers, key components phenotype identification, currently lack point-of-care assays represent a barrier the implementation phenotypes.Objectives: The objective this study was develop models classify ARDS readily...
We carried out integrated host and pathogen metagenomic RNA DNA next generation sequencing (mNGS) of whole blood (n = 221) plasma 138) from critically ill patients following hospital admission. assigned into sepsis groups on the basis clinical microbiological criteria. From whole-blood gene expression data, we distinguished with non-infectious systemic inflammatory conditions using a trained bagged support vector machine (bSVM) classifier (area under receiver operating characteristic curve...
Importance Among critically ill adults, randomized trials have not found oxygenation targets to affect outcomes overall. Whether the effects of differ based on an individual’s characteristics is unknown. Objective To determine whether modify effect lower vs higher peripheral oxygenation-saturation (Sp o 2 ) mortality. Design, Setting, and Participants A machine learning model predict treatment with a Sp target mortality for individual patients was derived in Pragmatic Investigation Optimal...
Using latent class analysis (LCA), two subphenotypes of acute respiratory distress syndrome (ARDS) have consistently been identified in five randomised controlled trials (RCTs), with distinct biological characteristics, divergent outcomes and differential treatment responses to interventions. Their existence unselected populations ARDS remains unknown. We sought identify observational cohorts using LCA.LCA was independently applied patients from prospective admitted the intensive care unit,...
Abstract The immunological features that distinguish COVID-19-associated acute respiratory distress syndrome (ARDS) from other causes of ARDS are incompletely understood. Here, we report the results comparative lower tract transcriptional profiling tracheal aspirate 52 critically ill patients with COVID-19 or etiologies, as well controls without ARDS. In contrast to a “cytokine storm,” observe reduced proinflammatory gene expression in when compared due causes. is characterized by...