Literature DB >> 34321064

Intensive care-treated cardiac arrest: a retrospective study on the impact of extended age on mortality, neurological outcome, received treatments and healthcare-associated costs.

Ester Holmström1, Ilmar Efendijev2, Rahul Raj3, Pirkka T Pekkarinen2, Erik Litonius2, Markus B Skrifvars4.   

Abstract

BACKGROUND: Cardiac arrest (CA) is a leading cause of death worldwide. As population ages, the need for research focusing on CA in elderly increases. This study investigated treatment intensity, 12-month neurological outcome, mortality and healthcare-associated costs for patients aged over 75 years treated for CA in an intensive care unit (ICU) of a tertiary hospital.
METHODS: This single-centre retrospective study included adult CA patients treated in a Finnish tertiary hospital's ICU between 2005 and 2013. We stratified the study population into two age groups: <75 and [Formula: see text]75 years. We compared interventions defined by the median daily therapeutic scoring system (TISS-76) between the age groups to find differences in treatment intensity. We calculated cost-effectiveness by dividing the total one-year healthcare-associated costs of all patients by the number of survivors with a favourable neurological outcome. Favourable outcome was defined as a cerebral performance category (CPC) of 1-2 at 12 months after cardiac arrest. Logistic regression analysis was used to identify independent associations between age group, mortality and neurological outcome.
RESULTS: This study included a total of 1,285 patients, of which 212 (16 %) were [Formula: see text]75 years of age. Treatment intensity was lower for the elderly compared to the younger group, with median TISS scores of 116 and 147, respectively (p < 0.001). The effective cost in euros for patients with a good one-year neurological outcome was €168,000 for the elderly and €120,000 for the younger group. At 12 months after CA 24 % of the patients in the elderly group and 47 % of the patients in the younger group had a CPC of 1-2 (p < 0.001). Age was an independent predictor of mortality (multivariate OR = 2.90, 95 % CI: 1.94-4.31, p < 0.001) and neurological outcome (multivariate OR = 3.15, 95 % CI: 2.04-4.86, p < 0.001).
CONCLUSIONS: The elderly ICU-treated CA patients in this study had worse neurological outcomes, higher mortality and lower cost-effectiveness than younger patients. Elderly received less intense treatment. Further efforts are needed to recognize the tools for assessing which elderly patients benefit from a more aggressive treatment approach in order to improve the cost-effectiveness of post-CA management.
© 2021. The Author(s).

Entities:  

Keywords:  Cardiac arrest; Elderly; ICUCA; IHCA; OHCA; cardiopulmonary resuscitation; critical care; intensive care unit

Year:  2021        PMID: 34321064     DOI: 10.1186/s13049-021-00923-0

Source DB:  PubMed          Journal:  Scand J Trauma Resusc Emerg Med        ISSN: 1757-7241            Impact factor:   2.953


  38 in total

1.  Outcomes and healthcare-associated costs one year after intensive care-treated cardiac arrest.

Authors:  Ilmar Efendijev; Daniel Folger; Rahul Raj; Matti Reinikainen; Pirkka T Pekkarinen; Erik Litonius; Markus B Skrifvars
Journal:  Resuscitation       Date:  2018-06-27       Impact factor: 5.262

2.  Survival and neurological outcome in the elderly after in-hospital cardiac arrest.

Authors:  G Hirlekar; T Karlsson; S Aune; A Ravn-Fischer; P Albertsson; J Herlitz; B Libungan
Journal:  Resuscitation       Date:  2017-07-20       Impact factor: 5.262

3.  Evolution of Survival in Cardiac Arrest with Age in Elderly Patients: Is Resuscitation a Dead End?

Authors:  Nicolas Segal; Christophe di Pompéo; Joséphine Escutnaire; Eric Wiel; Cyrielle Dumont; Laurent Castra; Karim Tazarourte; Carlos El Khoury; Pierre-Yves Gueugniaud; Hervé Hubert
Journal:  J Emerg Med       Date:  2017-12-19       Impact factor: 1.484

4.  Cardiac arrest: prediction models in the early phase of hospitalization.

Authors:  Florence Dumas; Wulfran Bougouin; Alain Cariou
Journal:  Curr Opin Crit Care       Date:  2019-06       Impact factor: 3.687

5.  Frailty and associated outcomes and resource utilization following in-hospital cardiac arrest.

Authors:  Shannon M Fernando; Daniel I McIsaac; Bram Rochwerg; Deborah J Cook; Sean M Bagshaw; John Muscedere; Laveena Munshi; Jerry P Nolan; Jeffrey J Perry; James Downar; Chintan Dave; Peter M Reardon; Peter Tanuseputro; Kwadwo Kyeremanteng
Journal:  Resuscitation       Date:  2019-11-27       Impact factor: 5.262

6.  Long-term functional recovery and health-related quality of life of elderly out-of-hospital cardiac arrest survivors.

Authors:  Emily Andrew; Eric Mercier; Ziad Nehme; Stephen Bernard; Karen Smith
Journal:  Resuscitation       Date:  2018-03-12       Impact factor: 5.262

7.  Short- and long-term outcome in elderly patients after out-of-hospital cardiac arrest: a cohort study.

Authors:  David Grimaldi; Florence Dumas; Marie-Cécile Perier; Julien Charpentier; Olivier Varenne; Benjamin Zuber; Benoit Vivien; Frédéric Pène; Jean-Paul Mira; Jean-Philippe Empana; Alain Cariou
Journal:  Crit Care Med       Date:  2014-11       Impact factor: 7.598

8.  Age discrimination in out-of-hospital cardiac arrest care: a case-control study.

Authors:  Eric Wiel; Christophe Di Pompéo; Nicolas Segal; Gérald Luc; Jean-Baptiste Marc; Carine Vanderstraeten; Carlos El Khoury; Joséphine Escutnaire; Karim Tazarourte; Pierre-Yves Gueugniaud; Hervé Hubert
Journal:  Eur J Cardiovasc Nurs       Date:  2017-12-05       Impact factor: 3.908

9.  Disparities in a provision of in-hospital post-arrest interventions for out-of-hospital cardiac arrest (OHCA) in the elderly population-protocol for a systematic review.

Authors:  Joanna M Bielecki; Josephine Wong; Nicholas Mitsakakis; Prakesh S Shah; Murray D Krahn; Valeria E Rac
Journal:  Syst Rev       Date:  2016-04-07

10.  One-year survival rate and healthcare costs after cardiac arrest in Taiwan, 2006-2012.

Authors:  Yi-Ming Weng; Chip-Jin Ng; Chen-June Seak; Cheng-Yu Chien; Kuan-Fu Chen; Jr-Rung Lin; Chee-Jen Chang
Journal:  PLoS One       Date:  2018-05-01       Impact factor: 3.240

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