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Fig. 1 | Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine

Fig. 1

From: A prediction model for good neurological outcome in successfully resuscitated out-of-hospital cardiac arrest patients

Fig. 1

Development of prediction models and calculation used to predict good neurological outcome at hour 24. This flowchart demonstrates the developmental process of the constructed prediction models at selected time points following CCU admission. Twenty-four hours after CCU admission, good neurological outcome was predicted with the lowest misclassification rate (i.e. the optimal model; top of figure). The probability for good neurological outcome can be calculated using the correlation coefficients from all variables (bottom of figure). For example, an 84-year old female patient without diabetes, successfully resuscitated from an OHCA with ventricular fibrillation as initial rhythm, was admitted to the emergency department and was transferred to the catherization lab where she received a percutaneous coronary intervention. Twenty-four hours after CCU admission, she did not experienced a BIS value of 0, mean BIS over 24 h was 46 and lactate was 1.2 mmol/l. Based on the formula, the calculated probability of good neurological outcome in this patient would be 0.68 which is higher than the proposed cut-off probability of 0.55. In this specific patient, good neurological outcome can be predicted with a sensitivity of 75% and specificity of 82%

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