ArticleAnnals of intensive care2022
Comparison of different clinical risk scores to predict long-term survival and neurological outcome in adults after cardiac arrest: results from a prospective cohort study.
Article in Annals of intensive care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Pooled it
- Feasibility of multi-domain data acquisition in patients at risk for hypoxic-ischemic brain injury following cardiac arrest: a prospective cohort study.Resuscitation plus · 2026Article
- Development and validation of machine learning models to predict 30-day mortality in patients with cardiac arrest complicated by acute kidney injury.Clinics (Sao Paulo, Brazil) · 2026Article
- Elevated serum osmolarity is associated with 28-day all-cause mortality in patients with cardiac arrest.World journal of emergency medicine · 2026Article
- Machine learning-driven prediction of in-hospital cardiac arrest among critically ill patients with traumatic spinal cord injury: a multicenter cohort study.Frontiers in cardiovascular medicine · 2026Article
- System for Predicting Neurological Outcomes Following Cardiac Arrest Based on Clinical Predictors Using a Machine Learning Method: The Neurological Outcomes After Cardiac Arrest Method.Neurocritical care · 2025Article
- The Prognosis After Cardiac Arrest: Evidence on the Short- and Long-Term Course.Deutsches Arzteblatt international · 2025Review
- Association between serum alkaline phosphatase and clinical prognosis in patients with acute liver failure following cardiac arrest: a retrospective cohort study.European journal of medical research · 2024Article
- Factors predicting mortality in the cardiac ICU during the early phase of targeted temperature management in the treatment of post-cardiac arrest syndrome - The RAPID score.Resuscitation plus · 2024Article
- Prediction of outcomes after cardiac arrest by a generative artificial intelligence model.Resuscitation plus · 2024Article
- Post-intensive care syndrome and health-related quality of life in long-term survivors of cardiac arrest: a prospective cohort study.Scientific reports · 2024Article
- Impact of cardiopulmonary resuscitation duration on functional outcome, level of independence, and survival among patients with in-hospital cardiac arrests: A pilot study.Journal of education and health promotion · 2024Article
- Prospective comparison of prognostic scores for prediction of outcome after out-of-hospital cardiac arrest: results of the AfterROSC1 multicentric study.Annals of intensive care · 2023Article
- Rationale, Design, and Methodology of the MORCOR-TURK Trial: Predictors of In-hospital MORtality in CORonary Care Patients in Turkey.Anatolian journal of cardiology · 2023Article
- External validation of the PROLOGUE score to predict neurological outcome in adult patients after cardiac arrest: a prospective cohort study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSeveral 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.
methodsThis 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.
resultsIn 415 patients admitted to intensive care, the 2-year mortality was 58.1%, with 96.7% of survivors showing good neurological outcome. The 6-year mortality was 82.5%. All four scores showed good discriminatory performance for 2-year mortality, with areas under the receiver operating characteristics curve (AUROC) of 0.82, 0.87, 0.83 and 0.81 for the OHCA, CAHP, APACHE II and SAPS II scores. The results were similar for poor neurological outcome at 2 years and 6-year mortality.
conclusionThis study suggests that two established cardiac arrest-specific scores and two severity-of-illness scores provide good prognostic value to predict long-term outcome after cardiac arrest and thus may help in early goals-of-care discussions.
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