Association between the Cardiac Arrest Hospital Prognosis (CAHP) score and reason for death after successfully resuscitated cardiac arrest (original) (raw)
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Resuscitation, 2019
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Derivation and validation of a new score to predict long-term survival after sudden cardiac arrest
Pacing and Clinical Electrophysiology, 2018
Background: There is insufficient information about the long-term prognosis of sudden cardiac arrest (SCA) survivors. We therefore derived a clinical score (Sudden Cardiac Arrest-mortality score, SCA-MS) that predicts long-term mortality in patients surviving to hospital discharge and validated it in an independent cohort of SCA survivors. Methods: Data was collected on 1,433 SCA survivors, discharged from the hospitals of the University of Pittsburgh Medical Center between 2002 and 2012. The overall cohort was randomly divided into 2 near equal cohorts used for the derivation and validation of the SCA-MS, respectively.
Resuscitation, 2008
Objective: To describe the development, design and consequent scientific implications of the Resuscitation Outcomes Consortium (ROC) population-based registry; ROC Epistry--Cardiac Arrest. Methods: The ROC Epistry--Cardiac Arrest is designed as a prospective population-based registry of all Emergency Medical Services (EMSs)-attended 9-1-1 calls for patients with out-of-hospital cardiac arrest occurring in the geographical area described by the eight US and three Canadian regions. The dataset was derived by an North American interdisciplinary steering committee. Enrolled cases include individuals of all ages who experience cardiac arrest outside the hospital, ଝ A Spanish translated version of the summary of this article appears as Appendix in the final online version at L.J. Morrison et al.
Annals of Intensive Care
Background Several scoring systems have been used to predict short-term outcome in patients with out-of-hospital cardiac arrest (OHCA), including the disease-specific OHCA and CAHP (Cardiac Arrest Hospital Prognosis) scores, as well as the general severity-of-illness scores Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II). This study aimed to assess the prognostic performance of these four scores to predict long-term outcomes (≥ 2 years) in adult cardiac arrest patients. Methods This is a prospective single-centre cohort study including consecutive cardiac arrest patients admitted to intensive care in a Swiss tertiary academic medical centre. The primary endpoint was 2-year mortality. Secondary endpoints were neurological outcome at 2 years post-arrest assessed by Cerebral Performance Category with CPC 1–2 defined as good and CPC 3–5 as poor neurological outcome, and 6-year mortality. Results In 415 patients admitted to...
2006
Aims Out-of-hospital cardiac arrest (OHCA) is common and carries a bleak prognosis. Early prediction of unfavourable outcomes is difficult but crucial to improve resource allocation. The aim of this study was to develop a simple tool for predicting survival with good neurological function in the overall population of patients with successfully resuscitated cardiac arrest. Methods and results We used logistic regression analysis to identify clinical and laboratory variables that were both readily available at admission and predictive of poor outcomes (death or severe neurological impairment) in a development cohort of 130 consecutive OHCA patients admitted to a French intensive care unit (ICU) between 1999 and 2003. To test the prediction score built from these variables, we used a validation cohort of 210 patients recruited in four French ICUs between 2003 and 2005. Initial rhythm, estimated no-flow and low-flow intervals, blood lactate, and creatinine levels determined using whole blood analyzers were independently associated with poor outcomes and were used to build a continuous severity score. Goodness-of-fit tests indicated good performance (P ¼ 0.79 in the development cohort and P ¼ 0.13 in the validation cohort). The area under the receiver-operating characteristics curve was 0.82 in the development cohort and 0.88 in the validation cohort. Conclusion The outcome can be accurately predicted after OHCA using variables that are readily available at ICU admission.
Predictors of Long-term Survival After Cardiopulmonary Resuscitation
Journal of Holistic Nursing And Midwifery, 2022
Survival after cardiac arrest is one of the most important issues related to the safety and quality of patient care, and unexpected events such as failure to follow guidelines can endanger the patient's safety. Objective: This study aimed to determine the long-term survival after cardiopulmonary resuscitation and its predictors in patients with cardiac arrest. Materials and Methods: In this retrospective study, individual, disease-related, and 3-day follow-up-related factors were monitored after the Cardiopulmonary Resuscitation (CPR) in all patients with long-term survival after Cardiac Arrest (CA) who were discharged from the hospital between 2016 and 2019. Patients' survival or death after CPR was followed up by telephone interviews. The patient's survival time after discharge was calculated until the interview day. The obtained data were analyzed by the Kaplan-Meier and Cox regression tests. Results: Out of 1565 CPR cases (both In-Hospital Cardiac Arrest [IHCA] and Out-of-Hospital Cardiac Arrest [OHCA]), 667 were successful, of which 156 patients had long-term survival. The Mean±SD of the survival time for patients was 30.98 ±1.78 months. Significant variables in associations with long-term survival were old age (>60 y) (HR=1.
Resuscitation, 2018
Aim: Several scores are available to predict mortality and neurological outcome in cardiac arrest patients admitted to the intensive care unit (ICU). The aim of the study was to externally validate the prognostic value of four previously published risk scores. Methods: For this observational, single-center study, we prospectively included 349 consecutive adult cardiac arrest patients upon ICU admission. We calculated two cardiac arrest specific risk scores (OHCA and CAHP) and two general severity of illness scores (APACHE II and SAPS II). The primary endpoint was in-hospital mortality. Secondary endpoints were neurological outcome at hospital discharge and 30-day mortality. Results: 170 patients (49%) died until hospital discharge. All scores were independently associated with outcomes in logistic regression analysis and showed acceptable discrimination for in-hospital mortality with highest AUCs of the cardiac arrest specific risk scores (OHCA: 0.80 (95%CI 0.75 to 0.85) and CAHP: 0.84 (95%CI 0.79 to 0.88) compared to the severity of illness scores (APACHE II: 0.78 (95%CI 0.73 to 0.83) and SAPS II: 0.77 (95%CI 0.72 to 0.82). Results were robust in subgroup analysis except for worse performance in elderly patients (>75 years) and patients with respiratory cause of cardiac arrest. Results were similar for 30-days mortality and slightly higher for neurological outcome. Conclusions: This study confirms the good prognostic performance of cardiac arrest specific scores to predict mortality and neurological outcomes in cardiac arrest patients. Routine use of OHCA or CAHP score helps to objectively risk stratify these vulnerable patients and thereby may improve therapeutic decisions.
BioMed Research International
Background. Mortality of admitted out-of-hospital cardiac arrest (OHCA) patients is decreasing. Our aim was to evaluate independent predictors of six-month mortality of successfully resuscitated OHCA patients. Methods. We reviewed retrospectively the records of 119 OHCA patients, admitted in 2011 to 2013 (73.1% men, mean age 64 ± 13,5 years) and registered their clinical data, treatments, and predictors of 6-month mortality. Results. Six-month mortality of admitted OHCA patients was 47.5% and was associated significantly with older age (67.7 ± 12.9 years versus 59.9 ± 13 years, p<0.05), mechanical ventilation, longer time of resuscitation (24.6 ± 18.9 sec versus 8.9 ± 8.4 sec, p<0.05), use of vasopressors (87.3% versus 62.5%, p<0.05), and increased serum lactate (8.1 ± 3.9 mmol/l versus 4.5 ± 3.6 mmol/l, p<0.05) but less likely with prior shockable rhythm (38% versus 73.2%, p<0.05), percutaneous coronary intervention (27% versus 55.4%, p<0.05), achieved target temp...
An Early, Novel Illness Severity Score to Predict Outcome after Cardiac Arrest
The Journal of Emergency Medicine, 2012
Background-Illness severity scores are commonly employed in critically ill patients to predict outcome. To date, prior scores for post-cardiac arrest patients rely on some event-related data. We developed an early, novel post-arrest illness severity score to predict survival, good outcome and development of multiple organ failure (MOF) after cardiac arrest.