2014
DOI: 10.1016/j.resuscitation.2014.05.004
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Development and validation of risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team

Abstract: AimThe National Cardiac Arrest Audit (NCAA) is the UK national clinical audit for in-hospital cardiac arrest. To make fair comparisons among health care providers, clinical indicators require case mix adjustment using a validated risk model. The aim of this study was to develop and validate risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team in UK hospitals.MethodsRisk models for two outcomes—return of spontaneous circulation (ROSC) for greater t… Show more

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Cited by 39 publications
(56 citation statements)
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References 21 publications
(14 reference statements)
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“…Arrests with a non-shockable rhythm were also strongly associated with worse event survival than those with a shockable rhythm; consistent with previous research. 10,[14][15][16][17][18] In particular, asystole was associated with greater survival to, and beyond discharge than PEA, whereas previous research suggests asystole is associated with the worst survival of all rhythms. 15,17 Further work may be required to investigate the aetiologies of these rhythms for IHCA.…”
Section: Short-term Survivalmentioning
confidence: 76%
“…Arrests with a non-shockable rhythm were also strongly associated with worse event survival than those with a shockable rhythm; consistent with previous research. 10,[14][15][16][17][18] In particular, asystole was associated with greater survival to, and beyond discharge than PEA, whereas previous research suggests asystole is associated with the worst survival of all rhythms. 15,17 Further work may be required to investigate the aetiologies of these rhythms for IHCA.…”
Section: Short-term Survivalmentioning
confidence: 76%
“…These associations were then reassessed after adjustment for the risk factors included in the NCAA risk prediction models, 21 that is, age, sex (in the ROSC>20 min model only), prior hospital length of stay, reason for admission to/attendance at hospital, location of IHCA and presenting/first documented rhythm. Information about the categorisation of the included variables is provided in an earlier NCAA publication 21 and in online supplementary files 1 and 2. The development set for the NCAA models contained 14 688 patients with an IHCA, of which 6605 (45.0%) achieved ROSC>20 min and 2926 (19.9%) survived to hospital discharge.…”
Section: Logistic Regression Analysismentioning
confidence: 99%
“…The development set for the NCAA models contained 14 688 patients with an IHCA, of which 6605 (45.0%) achieved ROSC>20 min and 2926 (19.9%) survived to hospital discharge. 21 Predicted probabilities for ROSC>20 min and survival to hospital discharge were calculated for each arrest. A hospital-level random effect was included in the models to adjust for clustering of outcomes at the hospital level.…”
Section: Logistic Regression Analysismentioning
confidence: 99%
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“…Like the GWTG-R investigators, the NCAA investigators have developed a risk model to enable comparisons between participating hospitals. 20 Risk models such as this have also enabled studies that show lower survival rates following CA during nights and weekends compared with those occurring during the day. 21,22 A recent study has documented the incidence and outcome from IHCA over a 12-month period in 12 hospitals in Beijing, China.…”
Section: In-hospital Cardiac Arrestmentioning
confidence: 99%