Publications                     

We analyzed observational cohorts to quantify how withdrawal of life sustaining therapy for perceived poor neurological prognosis (WLST N) can bias outcome estimates and showed that censoring outcomes after WLST N could yield more reliable awakening predictions than treating non awakening post WLST as ground truth.

We examined how much early prognostic information is needed for highly specific poor outcome prediction and argued for parsimonious, interpretable models that incorporate EEG. 

Using a large single center cohort, we found that the sensitivity and false positive rates of gray–white ratio (GWR) on brain CT for predicting in hospital mortality and death by neurologic criteria vary with scan timing in the first hours post arrest, supporting time aware imaging.

A narrative review from our group synthesizes ethical frameworks, timing, and safeguards for WLST after cardiac arrest, emphasizing strategies to reduce self fulfilling prophecy and promote equity in decision making. 

We collaborated with investigators nationally to explore psychosocial predictors of readiness for hospital discharge among patients recovering from cardiac arrest. This adds to a growing body of literature supporting routine screening for emotional distress, social support, and functional dependence in post-arrest patients approaching hospital discharge.

We demonstrated that duration of coma predicts short-term functional but not long-term survival, showing that even patients with prolonged coma can enjoy excellent post-acute survival.

In a broad scientific statement, we contributed to consensus guidance on ICU management after cardiac arrest spanning ventilation, hemodynamics, neuroprotection, and prognostication, with practical algorithms for bedside teams 

We contributed to a scientific statement providing evidence informed recommendations for interfacility transport after cardiac arrest—covering ventilator strategies, sedation, monitoring, communication, and equity considerations across systems of care.

Through qualitative interviews, we defined the mental model used by clinician to acquire and interpret prognostic data under uncertainty, revealing cognitive pitfalls and opportunities for structured improvements. 

Leveraging jugular venous oximetry and EEG, we showed how osmotherapy can improve cerebral oxygen extraction in well-defined clinical phenotypes, illustrating how multimodal monitoring can separate diffusion limited delivery from mitochondrial dysfunction.

We characterized the role and yield of brain CT after in hospital cardiac arrest, informing when and how imaging alters diagnosis and downstream care decisions.

We quantified the diagnostic yield of head to pelvis CT after non traumatic OHCA, finding clinically actionable causes and complications that inform early management while characterizing which patients benefit most from broad imaging.

Our national cross sectional analysis revealed a paucity of neuroprognostic testing after arrest, highlighting practice variation and missed opportunities to reduce uncertainty and bias in outcome prediction.

We linked CPR duration to distinct early brain injury phenotypes (benign coma, identical bursts, cerebral edema), suggesting duration aware pathways for early stratification and targeted monitoring.