Literature DB >> 31987887

The CAHP (cardiac arrest hospital prognosis) score: A tool for risk stratification after out-of-hospital cardiac arrest in elderly patients.

Bertrand Sauneuf1, Julien Dupeyrat2, Xavier Souloy3, Maxime Leclerc4, Benoit Courteille5, Bertrand Canoville5, Michel Ramakers4, Frédéric Goddé5, Farzin Beygui6, Damien du Cheyron2, Cédric Daubin2.   

Abstract

BACKGROUND: Older age is associated with worse outcome after out-of-hospital cardiac arrest (OHCA). Therefore, we tested the performance of CAHP score, to predict neurological outcome in elderly OHCA patients and to select patients most likely to benefit from coronary angiogram (CAG).
MATERIALS AND METHODS: The present study was a retrospective multicentre observational study at 3 non-university hospitals and 1 university hospital. CAHP score was calculated, and its performance to predict outcomes was evaluated. Factors associated with the use of CAG were analysed and the rate of CAG across each CAHP score risk group reported.
RESULTS: One hundred seventy-six patients fulfilled inclusion criteria (median age of 81, [79-84]), among which a cardiac cause was presumed for 99 patients. The hospital unfavourable outcome was 91%. The ROC-AUC values for hospital neurological outcome prediction of CAHP score was 0.81 [0.68-0.94], showing good discrimination performance. ST-segment elevation in ECG and initial shockable rhythm were independent factors for performing early CAG, whereas age and distance from the percutaneous coronary intervention centre were independently associated with the absence of early CAG. The percentages of patients receiving early CAG in the low, medium and high CAHP score risk groups were 64%, 33% and 34%, respectively, and differed significantly between low CAHP score risk group and other groups (p = 0.02).
CONCLUSIONS: The CAHP score exhibited a good discrimination performance to predict neurological outcome in elderly OHCA patients. This score could represent a helpful tool for treatment allocation. A simple prognostication score could permit avoiding unnecessary procedures in patients with minimal chances of survival.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CAHP score; Cardiac arrest; Elderly

Mesh:

Year:  2020        PMID: 31987887     DOI: 10.1016/j.resuscitation.2020.01.011

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  6 in total

1.  Developing a Time-Adaptive Prediction Model for Out-of-Hospital Cardiac Arrest: Nationwide Cohort Study in Korea.

Authors:  Ji Woong Kim; Juhyung Ha; Taerim Kim; Hee Yoon; Sung Yeon Hwang; Ik Joon Jo; Tae Gun Shin; Min Seob Sim; Kyunga Kim; Won Chul Cha
Journal:  J Med Internet Res       Date:  2021-07-05       Impact factor: 7.076

2.  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.

Authors:  René Blatter; Simon A Amacher; Chantal Bohren; Christoph Becker; Katharina Beck; Sebastian Gross; Kai Tisljar; Raoul Sutter; Stephan Marsch; Sabina Hunziker
Journal:  Ann Intensive Care       Date:  2022-08-17       Impact factor: 10.318

3.  External validation of the Survival After ROSC in Cardiac Arrest (SARICA) score for predicting survival after return of spontaneous circulation using multinational pan-asian cohorts.

Authors:  Maehanyi Frances Rajendram; Faraz Zarisfi; Feng Xie; Nur Shahidah; Pin Pin Pek; Jun Wei Yeo; Benjamin Yong-Qiang Tan; Matthew Ma; Sang Do Shin; Hideharu Tanaka; Marcus Eng Hock Ong; Nan Liu; Andrew Fu Wah Ho
Journal:  Front Med (Lausanne)       Date:  2022-09-08

4.  Tree-Based Algorithms and Association Rule Mining for Predicting Patients' Neurological Outcomes After First-Aid Treatment for an Out-of-Hospital Cardiac Arrest During COVID-19 Pandemic: Application of Data Mining.

Authors:  Wei-Chun Lin; Chien-Hsiung Huang; Liang-Tien Chien; Hsiao-Jung Tseng; Chip-Jin Ng; Kuang-Hung Hsu; Chi-Chun Lin; Cheng-Yu Chien
Journal:  Int J Gen Med       Date:  2022-09-19

5.  Prognostic value of OHCA, C-GRApH and CAHP scores with initial neurologic examinations to predict neurologic outcomes in cardiac arrest patients treated with targeted temperature management.

Authors:  Hyun Soo Kim; Kyu Nam Park; Soo Hyun Kim; Byung Kook Lee; Sang Hoon Oh; Kyung Woon Jeung; Seung Pill Choi; Chun Song Youn
Journal:  PLoS One       Date:  2020-04-24       Impact factor: 3.240

6.  Clinical Predictive Models of Sudden Cardiac Arrest: A Survey of the Current Science and Analysis of Model Performances.

Authors:  Richard T Carrick; Jinny G Park; Hannah L McGinnes; Christine Lundquist; Kristen D Brown; W Adam Janes; Benjamin S Wessler; David M Kent
Journal:  J Am Heart Assoc       Date:  2020-08-13       Impact factor: 5.501

  6 in total

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