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Sökning: WFRF:(Ebell Mark H.)

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1.
  • 2019
  • Tidskriftsartikel (refereegranskat)
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2.
  • Guilbault, Ryan W.R., et al. (författare)
  • External Validation of Two Classification and Regression Tree Models to Predict the Outcome of Inpatient Cardiopulmonary Resuscitation
  • 2017
  • Ingår i: Journal of Intensive Care Medicine. - : SAGE Publications. - 0885-0666 .- 1525-1489. ; 32:5, s. 333-338
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: To prospectively validate a previously developed classification and regression tree (CART) model that predicts the likelihood of a good outcome among patients undergoing inpatient cardiopulmonary resuscitation. Design: Prospective validation of a clinical decision rule. Setting: Skåne University Hospital in Malmo, Sweden. Patients: All adult patients (N = 287) experiencing in-hospital cardiopulmonary arrest and undergoing cardiopulmonary resuscitation between 2007 and 2010. Interventions: Patients from Skåne University Hospital who underwent CPR (N = 287) were classified using the CART models to predict their likelihood of survival neurologically intact or with minimal deficits, based on a cerebral performance category score of 1. Discrimination and classification accuracy of the score in the Swedish population was compared to that in the original (derivation and internal validation) populations. Measurements and Main Results: For model 1, the area under the receiver-operating characteristic curve (AUROCC) was 0.77, compared with 0.76 and 0.73 in the original derivation and validation populations, respectively. Model 1 classified 71 (2.8%) of 287 patients as being at a very low risk of a good neurologic outcome compared with 157 (26.1%) of 287 patients predicted to be at an above average risk of a good neurologic outcome. Model 2 had a similar AUROCC as the original validation population of 0.71 but lower than the original derivation population. Model 2 performed similarly to Model 1 with regards to its ability to correctly classify patients as very low or higher than average likelihood of a good neurologic outcome. Conclusion: Two CART models validated well in a different population, displaying similar discrimination and classification accuracy compared to the original population. Although additional validation in larger populations is desirable before widespread adoption, these results are very encouraging.
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3.
  • Ohlsson, Marcus Andreas, et al. (författare)
  • Validation of the good outcome following attempted resuscitation score on in-hospital cardiac arrest in southern Sweden
  • 2016
  • Ingår i: International Journal of Cardiology. - : Elsevier BV. - 0167-5273. ; 221, s. 294-297
  • Tidskriftsartikel (refereegranskat)abstract
    • Background There is a great need for a simple and clinically useful instrument to help physicians estimate the probability of survival to discharge with a good neurological outcome (cerebral performance category, CPC = 1) in cases of in-hospital cardiac arrest (IHCA). Our aim was to validate the “Good Outcome Following Attempted Resuscitation” (GO-FAR) score in a different country with different demographics than previously investigated. Methods A retrospective observational study including all cases of IHCA who were part of a cardiac arrest registry at Skåne University Hospital in Sweden 2007–2010. Results Two-hundred-eighty-seven patients suffered IHCA during the period. A majority were male and mean age was 70 years. Overall survival to discharge independent of neurological function was 20.2%; 78% of the survivors had CPC = 1 and survival to discharge with CPC = 1 was 15.7%. The area under the receiver operating characteristics curve for the GO-FAR score was 0.85 (CI = 0.78–0.91, p
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