Scoring System to Predict Outcomes After Cardiac Arrest
Author Information
Author(s): Daubin Cédric, Guillotin Damien, Etard Olivier, Gaillard Cathy, du Cheyron Damien, Ramakers Michel, Bouchet Bruno, Parienti Jean-Jacques, Charbonneau Pierre
Primary Institution: Caen University Hospital
Hypothesis
Can a clinical and EEG scoring system predict early cortical response and outcomes in comatose patients after cardiac arrest?
Conclusion
A scoring system based on clinical and EEG findings can effectively predict the absence of early cortical response to SSEPs in comatose patients after cardiac arrest.
Supporting Evidence
- The scoring system had a positive predictive value of 100% for predicting unfavorable SSEP results.
- A score >40 points had a sensitivity of 85% and specificity of 84% for predicting unfavorable SSEP results.
- At day three, a score >69 points had a positive predictive value of 100% for predicting death or vegetative state.
Takeaway
Doctors created a score using simple tests to help decide if patients who are unconscious after a heart problem will get better or not.
Methodology
Retrospective cohort study reviewing records of patients who suffered cardiac arrest and were admitted to the ICU.
Potential Biases
Potential for self-fulfilling prophecies regarding patient outcomes due to early withdrawal of treatment.
Limitations
The study is retrospective and conducted at a single center with a relatively small sample size.
Participant Demographics
{"age_mean":57.2,"age_sd":12.8,"sex_ratio_male":77}
Statistical Information
P-Value
0.04
Confidence Interval
95% CI = 0.1–1
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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