What is the best test to predict outcome after prolonged cardiac arrest?

Sandroni, Claudio; Barelli, Alessandro; Piazza, Ornella; Proietti, R.; Mastria, D; Boninsegna, Ramon

doi:10.1097/00063110-199503000-00008

Cited by 24 publications

(17 citation statements)

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“…Since the GCS is considered the gold standard for the assessment of injury severity, and its correlation to outcome is well established [39,40,41], we compared the sensitivity and specificity of the GCS to that of the 3-model biomarker trajectories for predicting poor outcome. In order to maximize specificity (e.g.…”

Section: Resultsmentioning

confidence: 99%

Trajectory Analysis of Serum Biomarker Concentrations Facilitates Outcome Prediction after Pediatric Traumatic and Hypoxemic Brain Injury

Berger

Bazaco

Wagner³

et al. 2010

Dev Neurosci

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Traumatic brain injury (TBI) and hypoxic ischemic encephalopathy (HIE) are leading causes of morbidity and mortality in children. Several studies over the past several years have evaluated the use of serum biomarkers to predict outcome after pediatric brain injury. These studies have all used simple point estimates such as initial and peak biomarker concentrations to predict outcome. However, this approach does not recognize patterns of change over time. Trajectory analysis is a type of analysis which can capture variance in biomarker concentrations over time and has been used with success in the social sciences. We used trajectory analysis to evaluate the ability of the serum concentrations of 3 brain-specific biomarkers – S100B, neuron-specific enolase (NSE) and myelin basic protein (MBP) – to predict poor outcome (Glasgow Outcome Scale scores 3–5) after pediatric TBI and HIE. Clinical and biomarker data from 100 children with TBI or HIE were evaluated. For each biomarker, we validated 2-, 3- and 4-group models for outcome prediction, using sensitivity and specificity. For S100B, the 3-group model predicted poor outcome with a sensitivity of 59% and specificity of 100%. For NSE, the 3-group model predicted poor outcome with a sensitivity of 48% and specificity of 98%. For MBP, the 3-group model predicted poor outcome with a sensitivity of 73% and specificity of 61%. Thus, when the models predicted a poor outcome, there was a very high probability of a poor outcome. In contrast, 17% of subjects with a poor outcome were predicted to have a good outcome by all 3 biomarker trajectories. These data suggest that trajectory analysis of biomarker data may provide a useful approach for predicting outcome after pediatric brain injury.

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Section: Resultsmentioning

confidence: 99%

Trajectory Analysis of Serum Biomarker Concentrations Facilitates Outcome Prediction after Pediatric Traumatic and Hypoxemic Brain Injury

Berger

Bazaco

Wagner³

et al. 2010

Dev Neurosci

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“…[2] In many studies, it has been reported that the disorder present before arrest has an effect on survival. [4,5] However, there is no scoring system used in the prediction of mortality in CB patients. In this study, a comparison was made between the expected and actual mortality rates and an assessment was made of the PRISM and APACHE II scores in all true CB calls to evaluate the effectiveness of CB procedures and treatments as well as the usefulness of the PRISM and APACHE scores in CB procedures.…”

Section: Discussionmentioning

confidence: 99%

Mortality in Code Blue; can Apache II and PRISM scores be markers for prognostication?

Bakan¹,

Karaören

Tomruk³

et al. 2017

Ulus Travma Acil Cerrahi Derg

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BACKGROUND: Code blue (CB) is an emergency call system developed to respond to cardiac and respiratory arrest in hospitals. However, in literature, no scoring system has been reported that can predict mortality in CB procedures. In this study, we aimed to investigate the effectiveness of estimated APACHE II and PRISM scores in the prediction of mortality in patients assessed using CB to retrospectively analyze CB calls.

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“…Previous studies have evaluated the GCS as a predictor for neurologic outcome after cardiac arrest [12,19]. Though various cutoffs and time periods were used, results of these studies indicated that the GCS was a reasonable predictor of outcome but lacked specificity.…”

Section: Discussionmentioning

confidence: 99%