Description

Otto and Rossetti identified a number of factors predictive of a poor outcome for a patient undergoing hypothermia for a cardiac arrest. The authors are from CHUV-Lausanne University Hospital in Lausanne, Switzerland.


 

Patient selection: hypothermia following cardiac arrest

 

Outcome: good vs poor, with poor defined as Cerebral Performance categories 3 to 5 (severe disability, coma or death):

 

Independent predictors for a poor outcome:

(1) incomplete brainstem reflexes (papillary, oculocephalic, corneal) and myoclonus in normothermia (abnormal clinical exam)

(2) hypothermic electroencephalopathy nonreactive (absence of EEG reactivity)

(3) peak serum neuron specific enolase > 33 micrograms per L (usually at 24-48 hours, reference range not given, analysis Brahms NSE Kryptor immunoassay)

 

Absent hypothermic EEG reactivity had the highest coefficienct in ordinal logistic regression (4.4).

 

Bilateral absence of cortical somatosensory-evoked potentials (SEEP) was not an independent predictor for poor outcome.

 

Interpretation:

• The discussion on page 1343 includes SEEP in the cutoff for good vs poor outcome.

• It appears that the presence of all 3 predictors identifies a group that will have a poor outcome.

• Patients with <= 2 of the predictors may have a good or poor outcome.

 

Performance:

• The combination of the 3 independent predictors had an area under the ROC curve of 0.88 for poor outcome and 0.89 for mortality.

• The predictors can identify a group at high risk for poor outcome but others at high risk overlap with those having a good outcome.

• The performance of NSE assays varies so a different cutoff would be needed if a different assay is used.

 


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