J.N. Stroh
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View article: Developing A Data Pipeline to Quantify Ventilator Waveforms
Developing A Data Pipeline to Quantify Ventilator Waveforms Open
A bstract O bjective To automatically collect ventilator waveforms and integrate them with curated electronic health record data from thousands of patients to provide the data necessary to analyze the complex interactions between lung inju…
View article: Investigating the consequences of mechanical ventilation in clinical intensive care settings through an evolutionary game-theoretic framework
Investigating the consequences of mechanical ventilation in clinical intensive care settings through an evolutionary game-theoretic framework Open
Identifying the effects of mechanical ventilation strategies and protocols in critical care requires analyzing data from heterogeneous patient-ventilator systems within the context of the clinical decision-making environment. This research…
View article: Physics-Informed Digital Twin Can Predict Cerebral Blood Flow and Cerebral Vascular Regulation Mechanisms in Neurocritical Care Patients
Physics-Informed Digital Twin Can Predict Cerebral Blood Flow and Cerebral Vascular Regulation Mechanisms in Neurocritical Care Patients Open
Cerebral blood flow is vital for brain function and is acutely controlled through a set of physiological mechanisms known as cerebral vascular regulation (CVR). It remains challenging to directly measure the dynamics and function of indivi…
View article: A stochastic model-based control methodology for glycemic management in the intensive care unit
A stochastic model-based control methodology for glycemic management in the intensive care unit Open
Introduction: Intensive care unit (ICU) patients exhibit erratic blood glucose (BG) fluctuations, including hypoglycemic and hyperglycemic episodes, and require exogenous insulin delivery to keep their BG in healthy ranges. Glycemic contro…
View article: Intracranial pressure-flow relationships in traumatic brain injury patients expose gaps in the tenets of models and pressure-oriented management
Intracranial pressure-flow relationships in traumatic brain injury patients expose gaps in the tenets of models and pressure-oriented management Open
Background: The protocols and therapeutic guidance established for treating traumatic brain injury (TBI) in neurointensive care focus on managing cerebral blood flow (CBF) and brain tissue oxygenation based on pressure signals. The decisio…
View article: A Stochastic Model-Based Control Methodology for Glycemic Management in the Intensive Care Unit
A Stochastic Model-Based Control Methodology for Glycemic Management in the Intensive Care Unit Open
Intensive care unit (ICU) patients exhibit erratic blood glucose (BG) fluctuations, including hypoglycemic and hyperglycemic episodes, and require exogenous insulin delivery to keep their BG in healthy ranges. Glycemic control via glycemic…
View article: Intracranial pressure-flow relationships in traumatic brain injury patients expose gaps in the tenets of models and pressure-oriented management
Intracranial pressure-flow relationships in traumatic brain injury patients expose gaps in the tenets of models and pressure-oriented management Open
Background The protocols and therapeutic guidance established for treating traumatic brain injuries (TBI) in neurointensive care focus on managing cerebral blood flow (CBF) and brain tissue oxygenation based on pressure signals. The decisi…
View article: Flow-Limited and Reverse-Triggered Ventilator Dyssynchrony Are Associated With Increased Tidal and Dynamic Transpulmonary Pressure*
Flow-Limited and Reverse-Triggered Ventilator Dyssynchrony Are Associated With Increased Tidal and Dynamic Transpulmonary Pressure* Open
OBJECTIVES: Ventilator dyssynchrony may be associated with increased delivered tidal volumes (V t s) and dynamic transpulmonary pressure (ΔP L,dyn ), surrogate markers of lung stress and strain, despite low V t ventilation. However, it is …
View article: Empirical phenotyping in coupled patient+care systems: Generating low-dimensional categories for hypothesis-driven investigation of mechanically-ventilated patients
Empirical phenotyping in coupled patient+care systems: Generating low-dimensional categories for hypothesis-driven investigation of mechanically-ventilated patients Open
Background Analyzing patient data under current mechanical ventilation (MV) management processes is essential to develop hypotheses about improvements and to understand MV consequences over time. How-ever, progress is complicated by the co…
View article: A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation Open
View article: Personalizing the Pressure Reactivity Index for Quantifying Cerebral Autoregulation in Neurocritical Care
Personalizing the Pressure Reactivity Index for Quantifying Cerebral Autoregulation in Neurocritical Care Open
Objective The Pressure Reactivity Index (PRx) is a common metric for assessing cerebral autoregulation in neurocritical care. This study aimed to improve the clinical utility of PRx by enhancing its robustness through the development of a …
View article: A methodology of phenotyping ICU patients from EHR data: high-fidelity, personalized, and interpretable phenotypes estimation
A methodology of phenotyping ICU patients from EHR data: high-fidelity, personalized, and interpretable phenotypes estimation Open
Objective Computing phenotypes that provide high-fidelity, time-dependent characterizations and yield personalized interpretations is challenging, especially given the complexity of physiological and healthcare systems and clinical data qu…
View article: Hypothesis-driven modeling of the human lung–ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research
Hypothesis-driven modeling of the human lung–ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research Open
View article: Integration of Clinical, Biological, and Computational Perspectives to Support Cerebral Autoregulatory Informed Clinical Decision Making Decomposing Cerebral Autoregulation using Mechanistic Timescales to Support Clinical Decision-Making
Integration of Clinical, Biological, and Computational Perspectives to Support Cerebral Autoregulatory Informed Clinical Decision Making Decomposing Cerebral Autoregulation using Mechanistic Timescales to Support Clinical Decision-Making Open
Adequate brain perfusion is required for proper brain function and life. Maintaining optimal brain perfusion to avoid secondary brain injury is one of the main concerns of neurocritical care. Cerebral autoregulation is responsible for main…
View article: Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study
Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study Open
Objective To rapidly develop, validate, and implement a novel real-time mortality score for the COVID-19 pandemic that improves upon sequential organ failure assessment (SOFA) for decision support for a Crisis Standards of Care team. Mater…
View article: Personalization and Pragmatism: Pediatric Intracranial Pressure and Cerebral Perfusion Pressure Treatment Thresholds*
Personalization and Pragmatism: Pediatric Intracranial Pressure and Cerebral Perfusion Pressure Treatment Thresholds* Open
1 Department of Bioengineering, College of Engineering, Design, and Computing, Aurora, CO 2 Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 3 Section of Critical Care…
View article: Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales
Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales Open
Background The clinical mitigation of intracranial hypertension due to traumatic brain injury requires timely knowledge of intracranial pressure to avoid secondary injury or death. Noninvasive intracranial pressure (nICP) estimation that o…
View article: Real-Time Electronic Health Record Mortality Prediction During the COVID-19 Pandemic: A Prospective Cohort Study
Real-Time Electronic Health Record Mortality Prediction During the COVID-19 Pandemic: A Prospective Cohort Study Open
Background The SARS-CoV-2 virus has infected millions of people, overwhelming critical care resources in some regions. Many plans for rationing critical care resources during crises are based on the Sequential Organ Failure Assessment (SOF…
View article: Parameter optimization in sea ice models with elastic–viscoplastic rheology
Parameter optimization in sea ice models with elastic–viscoplastic rheology Open
The modern sea ice models include multiple parameters which strongly affect model solution. As an example, in the CICE6 community model, rheology and landfast grounding/arching effects are simulated by functions of the sea ice thickness an…
View article: Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales (Preprint)
Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales (Preprint) Open
BACKGROUND The clinical mitigation of intracranial hypertension due to traumatic brain injury requires timely knowledge of intracranial pressure to avoid secondary injury or death. Noninvasive intracranial pressure (nICP) estimation that …
View article: Variational Ensemble-Transform Filtering of HFR & ADCP velocities in the ice-free Chukchi Sea
Variational Ensemble-Transform Filtering of HFR & ADCP velocities in the ice-free Chukchi Sea Open
The Chukchi Sea (CS) is the gateway to the Arctic Ocean (AO) for Pacific waters entering from Bering Strait (BS) and also a potential location for future offshore oil extraction. Since 2010, regional CS data has become more plentiful with …
View article: Estimating intracranial pressure via low-dimensional models: toward a practical tool for clinical decision support at multi-hour timescales
Estimating intracranial pressure via low-dimensional models: toward a practical tool for clinical decision support at multi-hour timescales Open
A bstract Broad clinical application of non-invasive intracranial pressure (ICP) monitoring using computational models requires a method of modeling ICP on the basis of easily measured patient data such as radial or brachial arterial blood…
View article: Parameter Optimization in Sea Ice Models with Elastic-Viscoplastic Rheology
Parameter Optimization in Sea Ice Models with Elastic-Viscoplastic Rheology Open
Ice rheology formulation is the key component of the modern sea ice modeling. In the CICE6 community model, rheology and landfast grounding/arching effects are simulated by functions of the sea ice thickness and concentration with a set of…
View article: Toward Optimization of Rheology in Sea Ice Models through Data Assimilation
Toward Optimization of Rheology in Sea Ice Models through Data Assimilation Open
Sea ice models that allow for deformation are primarily based on rheological formulations originally developed in the 1970s. In both the original viscoplastic (VP) and elastic-VP schemes, the internal pressure term is modeled as a function…
View article: Changes in Arctic Ocean Climate Evinced through Analysis of IPY 2007–2008 Oceanographic Observations
Changes in Arctic Ocean Climate Evinced through Analysis of IPY 2007–2008 Oceanographic Observations Open
Full-depth hydrographical surveys conducted in 2007–2009 during the International Polar Year (IPY) collaboration provide an accurate snapshot of the Arctic Ocean (AO) hydrography at a time when the Arctic Ocean Oscillation (AOO) index was …
View article: Observing System Simulation Experiments and Adjoint Sensitivity Analysis: Methods for Observational Programs in the Arctic Ocean
Observing System Simulation Experiments and Adjoint Sensitivity Analysis: Methods for Observational Programs in the Arctic Ocean Open
Over recent decades, the Arctic Ocean (AO) has experienced profound climate changes. To study these climate changes, several regional observational programs have been started. Because of complicated logistics and remoteness, in situ observ…
View article: Sea‐surface temperature and salinity product comparison against external in situ data in the <scp>A</scp>rctic <scp>O</scp>cean
Sea‐surface temperature and salinity product comparison against external in situ data in the <span>A</span>rctic <span>O</span>cean Open
Sea‐surface temperature and salinity (SST/S) in the Arctic Ocean (AO) are largely governed by sea‐ice and continental runoff rather than evaporation and precipitation as in lower latitude oceans, and global satellite analyses and models wh…