One-year outcomes in individual domains of the cerebral performance category extended.

BACKGROUND: Physical and cognitive impairments are common after cardiac arrest, and recovery varies. This study assessed recovery of individual domains of the Cerebral Performance Category- Extended (CPC-E) 1-year after cardiac arrest. We hypothesized patients would have recovery in all CPC-E domains 1-year after the index cardiac arrest. METHODS: Prospective cohort study of cardiac arrest survivors evaluating outcome measures mRS, CPC, and CPC-E. Outcomes were assessed at discharge, 3-months, 6-months, and 1-year. We defined recovery of a CPC-E domain when >90% of patients had scores of 1-2 in that domain. RESULTS: Of 156 patients discharged, 57 completed the CPC-E at discharge, and were included in the analysis. 37 patients had follow-up at 3-months, and 23 patients had follow-up at 6 and 12 months. Only 16 patients had assessments at all four timepoints. Domains of alertness (N = 56, 98%) logical thinking (N = 56; 98%), and attention (N = 55; 96%) recovered by hospital discharge. BADL (N = 34; 92%) and motor skills (N = 36; 97%) recovered by 3-months. Most patients (N = 20; 87%) experienced slight-to-no disability or symptoms (mRS 0-2/CPC 1-2) at 1-year follow up. CPC-E domains of short term memory (78%), mood (87%), fatigue (22%), complex ADL (78%), and return to work (65%) did not recover by 1-year. CONCLUSIONS: CPC-E domains of alertness, logical thinking, and attention recover rapidly, while domains of short term memory, mood, fatigue, complex ADL and return to work remain chronically impaired 1-year after cardiac arrest. These deficits are not detected by mRS and CPC. Interventions to improve recovery in these domains are needed.

Priorities to Overcome Barriers Impacting Data Science Application in Emergency Care Research.

For a variety of reasons including cheap computing, widespread adoption of electronic medical records, digitalization of imaging and biosignals, and rapid development of novel technologies, the amount of health care data being collected, recorded, and stored is increasing at an exponential rate. Yet despite these advances, methods for the valid, efficient, and ethical utilization of these data remain underdeveloped. Emergency care research, in particular, poses several unique challenges in this rapidly evolving field. A group of content experts was recently convened to identify research priorities related to barriers to the application of data science to emergency care research. These recommendations included: 1) developing methods for cross-platform identification and linkage of patients; 2) creating central, deidentified, open-access databases; 3) improving methodologies for visualization and analysis of intensively sampled data; 4) developing methods to identify and standardize electronic medical record data quality; 5) improving and utilizing natural language processing; 6) developing and utilizing syndrome or complaint-based based taxonomies of disease; 7) developing practical and ethical framework to leverage electronic systems for controlled trials; 8) exploring technologies to help enable clinical trials in the emergency setting; and 9) training emergency care clinicians in data science and data scientists in emergency care medicine. The background, rationale, and conclusions of these recommendations are included in the present article.

Resuscitation Outcomes Consortium (ROC) PRIMED cardiac arrest trial methods part 2: rationale and methodology for "Analyze Later vs. Analyze Early" protocol.

OBJECTIVE: The primary objective of the trial is to compare survival to hospital discharge with modified Rankin score (MRS) < or =3 between a strategy that prioritizes a specified period of CPR before rhythm analysis (Analyze Later) versus a strategy of minimal CPR followed by early rhythm analysis (Analyze Early) in patients with out-of-hospital cardiac arrest. METHODS: Design-Cluster randomized trial with cluster units defined by geographic region, or monitor/defibrillator machine. Population-Adults treated by emergency medical service (EMS) providers for non-traumatic out-of-hospital cardiac arrest not witnessed by EMS. Setting-EMS systems participating in the Resuscitation Outcomes Consortium and agreeing to cluster randomization to the Analyze Later versus Analyze Early intervention in a crossover fashion. Sample size-Based on a two-sided significance level of 0.05, a maximum of 13,239 evaluable patients will allow statistical power of 0.996 to detect a hypothesized improvement in the probability of survival to discharge with MRS < or =3 rate from 5.41% after Analyze Early to 7.45% after Analyze Later (2.04% absolute increase in primary outcome). CONCLUSION: If this trial demonstrates a significant improvement in survival with a strategy of Analyze Later, it is estimated that 4000 premature deaths from cardiac arrest would be averted annually in North America alone.