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Prearrest prediction of favourable neurological survival following in-hospital cardiac arrest : The Prediction of outcome for In-Hospital Cardiac Arrest (PIHCA) score.

Piscator, Eva (författare)
Karolinska Institutet,Center for Resuscitation Science, Department of Medicine Solna, Karolinska Institutet and Function of Emergency Medicine Solna, Karolinska University Hospital
Göransson, Katarina, 1974- (författare)
Karolinska Institutet,Department of Medicine Solna, Karolinska Institutet and Function of Emergency Medicine, Karolinska University Hospital,Karolinska Institutet, Stockholm, Sweden
Forsberg, Sune (författare)
Karolinska Institutet,Center for Resuscitation Science, Department of Medicine Solna, Karolinska Institutet and Department of Anaesthesiology and Intensive Care
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Bottai, Matteo (författare)
Karolinska Institutet,Unit of Biostatistics, Department of Environmental Medicine (IMM), Karolinska Institutet
Ebell, Mark (författare)
Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia
Herlitz, Johan, 1949- (författare)
Gothenburg University,Göteborgs universitet,Högskolan i Borås,Akademin för vård, arbetsliv och välfärd,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Prehospen
Djärv, Therese (författare)
Karolinska Institutet,Center for Resuscitation Science, Department of Medicine Solna, Karolinska Institutet and Function of Emergency Medicine Solna
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 (creator_code:org_t)
Elsevier BV, 2019
2019
Engelska.
Ingår i: Resuscitation. - : Elsevier BV. - 0300-9572 .- 1873-1570. ; 143, s. 92-99
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • BACKGROUND: A prearrest prediction tool can aid clinicians in consolidating objective findings with clinical judgement and in balance with the values of the patient be a part of the decision process for do-not-attempt-resuscitation (DNAR) orders. A previous prearrest prediction tool for in-hospital cardiac arrest (IHCA) have not performed satisfactory in external validation in a Swedish cohort. Therefore our aim was to develop a prediction model for the Swedish setting.METHODS: Model development was based on previous external validation of The Good Outcome Following Attempted Resuscitation (GO-FAR) score, with 717 adult IHCAs. It included redefinition and reduction of predictors, and addition of chronic comorbidity, to create a full model of 9 predictors. Outcome was favourable neurological survival defined as Cerebral Performance Category score 1-2  at discharge. The likelihood of favourable neurological survival was categorised into very low (<1%), low (1-3%) and above low (>3%).RESULTS: We called the model the Prediction of outcome for In-Hospital Cardiac Arrest (PIHCA) score. The AUROC was 0.808 (95% CI 0.807-0.810) and calibration was satisfactory. With a cutoff of 3% likelihood of favourable neurological survival sensitivity was 99.4% and specificity 8.4%. Although specificity was limited, predictive value for classification into ≤3% likelihood of favorable neurological survival was high (97.4%) and false classification into ≤3% likelihood of favourable neurological survival was low (0.6%).CONCLUSION: The PIHCA score has the potential to be used as an objective tool in prearrest prediction of outcome after IHCA, as part of the decision process for a DNAR order.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Nyckelord

Cardiopulmonary resuscitation
Clinical decision-making
Heart arrest
In-hospital cardiac arrest
Medical futility
Models-Statistical
Prognosis
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