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Neurological outcome following out of hospital cardiac arrest: Evaluation of performance of existing risk prediction models in a UK cohort.
Livesey, John A; Lone, Nazir; Black, Emily; Broome, Richard; Syme, Alastair; Keating, Sean; Elliott, Laura; McCahill, Cara; Simpson, Gavin; Grant, Helen; Auld, Fiona; Garrioch, Sweyn; Hay, Alasdair; Craven, Thomas H.
Afiliación
  • Livesey JA; Edinburgh Critical Care Research Group, Department of Critical Care, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Lone N; Edinburgh Critical Care Research Group, Department of Critical Care, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Black E; Department of Critical Care, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Broome R; Department of Critical Care, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Syme A; Department of Critical Care, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Keating S; Department of Critical Care, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Elliott L; Department of Critical Care, Victoria Hospital Kirkcaldy, Kirkcaldy, UK.
  • McCahill C; Department of Critical Care, Victoria Hospital Kirkcaldy, Kirkcaldy, UK.
  • Simpson G; Department of Critical Care, Victoria Hospital Kirkcaldy, Kirkcaldy, UK.
  • Grant H; Department of Critical Care, St John's Hospital, Livingston, UK.
  • Auld F; Department of Critical Care, Western General Hospital, Edinburgh, UK.
  • Garrioch S; Department of Critical Care, Borders General Hospital, Melrose, UK.
  • Hay A; Edinburgh Critical Care Research Group, Department of Critical Care, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Craven TH; Edinburgh Critical Care Research Group, Department of Critical Care, Royal Infirmary of Edinburgh, Edinburgh, UK.
J Intensive Care Soc ; 25(2): 131-139, 2024 May.
Article en En | MEDLINE | ID: mdl-38737314
ABSTRACT

Introduction:

Out of hospital cardiac arrest (OHCA) is a common problem. Rates of survival are low and a proportion of survivors are left with an unfavourable neurological outcome. Four models have been developed to predict risk of unfavourable outcome at the time of critical care admission - the Cardiac Arrest Hospital Prognosis (CAHP), MIRACLE2, Out of Hospital Cardiac Arrest (OHCA), and Targeted Temperature Management (TTM) models. This evaluation evaluates the performance of these four models in a United Kingdom population and provides comparison to performance of the Acute Physiology and Chronic Health Evaluation II (APACHE-II) score.

Methods:

A retrospective evaluation of the performance of the models was conducted over a 43-month period in 414 adult, non-pregnant patients presenting consecutively following non-traumatic OHCA to the five units in our regional critical care network. Scores were generated for each model for where patients had complete data (CAHP = 347, MIRACLE2 = 375, OHCA = 356, TTM = 385). Cerebral Performance Category (CPC) outcome was calculated for each patient at last documented follow up and an unfavourable outcome defined as CPC ⩾ 3. Performance for discrimination of unfavourable outcome was tested by generating receiver operating characteristic (ROC) curves for each model and comparing the area under the curve (AUC).

Results:

Best performance for discrimination of unfavourable outcome was demonstrated by the high risk group of the CAHP score with an AUC of 0.87 [95% CI 0.83-0.91], specificity of 97.1% [95% CI 93.8-100] and positive predictive value (PPV) of 96.3% [95% CI 92.2-100]. The high risk group of the MIRACLE2 model, which is significantly easier to calculate, had an AUC of 0.81 [95% CI 0.76-0.86], specificity of 92.3% [95% CI 87.2-97.4] and PPV of 95.2% [95% CI 91.9-98.4].

Conclusion:

The CAHP, MIRACLE2, OHCA and TTM scores all perform comparably in a UK population to the original development and validation cohorts. All four scores outperform APACHE-II in a population of patients resuscitated from OHCA. CAHP and TTM perform best but are more complex to calculate than MIRACLE2, which displays inferior performance.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Intensive Care Soc Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Intensive Care Soc Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido