Literature DB >> 29409768

Cooling methods of targeted temperature management and neurological recovery after out-of-hospital cardiac arrest: A nationwide multicenter multi-level analysis.

Ki Hong Kim1, Sang Do Shin2, Kyoung Jun Song3, Young Sun Ro4, Yu Jin Kim5, Ki Jeong Hong6, Joo Jeong7, Jeong Ho Park8, Tae Han Kim9, So Yeon Kong10.   

Abstract

OBJECTIVE: The purpose of this study was to determine whether the cooling method used for target temperature management (TTM) was associated with neurological recovery after out-of-hospital cardiac arrest (OHCA).
METHODS: From January 2008 to December 2016, adult OHCA patients who survived to hospitalization without any traumatic etiology and who received TTM were included. Patients who did not have information about neurological status at hospital discharge or who did not have information on target temperature management were excluded. Cooling methods were classified into four groups: (1) external device cooling (EDC) using a pad with cooling device, (2) external conventional cooling (ECC) such as ice water, fans, and simple blankets, (3) Intravascular cooling (IVC) using an intravascular cooling catheter, and (4) intracavitary cooling (ICC) using ice water for washing cavitary organ. The outcomes were good cerebral performance scale (CPC) score 1 or 2 and survival to discharge. In multivariate logistic regression analysis, the adjusted odds ratios (AORs) and the 95% confidence intervals (CIs) were calculated (reference = ECC). Finally, we used a GLIMMIX procedure with group-level variables (hospitals) to create a multilevel model for adjusting the clustering factor of patients being treated in the same hospital.
RESULTS: The final analysis included a total of 4246 eligible patients (ECC 1386, EDC 2107, IVC 376, ICC 377). Good neurologic recovery was 20.7% for all (ECC 17.4, EDC 23.1%, IVC 26.9%, and ICC 13.3%, p < .001). The survival rate was 46.4% for all (ECC 45.4%, EDC 48.5%, IVC 50.5%, ICC 34.2%, p < .001). There were no significant differences (AOR and 95% CI) in the multi-level analysis for good neurological recovery between cooling methods compared with ECC; EDC 1.20 (0.95-1.52), IVC 1.43 (0.90-2.27), and ICC 0.71 (0.46-1.10). The ICC group had a lower survival to discharge rate compared with ECC; EDC 0.97 (0.83-1.15), IVC 0.96 (0.78-1.19), and ICC 0.63 (0.43-0.85).
CONCLUSION: The cooling methods for TTM did not show any significant difference in neurological recovery in multi-level logistic regression analysis. Only intracavitary cooling resulted in a lower survival to discharge than external surface cooling.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiac arrest; Cooling method; Outcome; Targeted temperature management

Mesh:

Year:  2018        PMID: 29409768     DOI: 10.1016/j.resuscitation.2018.01.043

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


  9 in total

Review 1.  Management of Out-of-Hospital Cardiac Arrest Complicating Acute Coronary Syndromes.

Authors:  Sean M Bell; Christopher Kovach; Akash Kataruka; Josiah Brown; Ravi S Hira
Journal:  Curr Cardiol Rep       Date:  2019-11-22       Impact factor: 2.931

2.  Cost-Effectiveness Analysis of Intravascular Targeted Temperature Management after Cardiac Arrest in England.

Authors:  Mehdi Javanbakht; Atefeh Mashayekhi; Mohsen Rezaei Hemami; Michael Branagan-Harris; Thomas R Keeble; Mohsen Yaghoubi
Journal:  Pharmacoecon Open       Date:  2022-05-03

3.  Effect of different methods of cooling for targeted temperature management on outcome after cardiac arrest: a systematic review and meta-analysis.

Authors:  Lorenzo Calabró; Wulfran Bougouin; Alain Cariou; Chiara De Fazio; Markus Skrifvars; Eldar Soreide; Jacques Creteur; Hans Kirkegaard; Stéphane Legriel; Jean-Baptiste Lascarrou; Bruno Megarbane; Nicolas Deye; Fabio Silvio Taccone
Journal:  Crit Care       Date:  2019-08-23       Impact factor: 9.097

4.  Association between Cardiac Arrest Time and Favorable Neurological Outcomes in Witnessed Out-of-Hospital Cardiac Arrest Patients Treated with Targeted Temperature Management.

Authors:  Zoon Ho Lee; Yong Hwan Kim; Jun Ho Lee; Dong Woo Lee; Kyoung Yul Lee; Seong Youn Hwang
Journal:  J Korean Med Sci       Date:  2020-04-27       Impact factor: 2.153

5.  Effects of endovascular and surface cooling on resuscitation in patients with cardiac arrest and a comparison of effectiveness, stability, and safety: a systematic review and meta-analysis.

Authors:  Xueli Liao; Ziyu Zhou; Manhong Zhou; Hui Tang; Menglong Feng; Bujin Kou; Ni Zhu; Futuan Liao; Liaozhang Wu
Journal:  Crit Care       Date:  2020-01-28       Impact factor: 9.097

6.  Intravascular Versus Surface Cooling in Patients Resuscitated From Cardiac Arrest: A Systematic Review and Network Meta-Analysis With Focus on Temperature Feedback.

Authors:  Nikolai Ramadanov; Jasmin Arrich; Roman Klein; Harald Herkner; Wilhelm Behringer
Journal:  Crit Care Med       Date:  2022-01-31       Impact factor: 9.296

7.  Consensus recommendations on therapeutic hypothermia after minimally invasive intracerebral hemorrhage evacuation from the hypothermia for intracerebral hemorrhage (HICH) working group.

Authors:  Turner S Baker; Christopher P Kellner; Frederick Colbourne; Fred Rincon; Rainer Kollmar; Neeraj Badjatia; Neha Dangayach; J Mocco; Magdy H Selim; Patrick Lyden; Kees Polderman; Stephan Mayer
Journal:  Front Neurol       Date:  2022-08-17       Impact factor: 4.086

8.  Target temperature management versus normothermia without temperature feedback systems for out-of-hospital cardiac arrest survivors.

Authors:  Hui Jai Lee; Jonghwan Shin; Kyoung Min You; Woon Yong Kwon; Kyung Su Kim; You Hwan Jo; Seung Min Park
Journal:  J Int Med Res       Date:  2022-09       Impact factor: 1.573

9.  Comparison of in-hospital and out-of-hospital cardiac arrest patients receiving targeted temperature management: A matched case-control study.

Authors:  Chung-Ting Chen; Cheng-Han Chen; Tzu-Yin Chen; David Hung-Tsang Yen; Chorng-Kuang How; Peter Chuanyi Hou
Journal:  J Chin Med Assoc       Date:  2020-09       Impact factor: 3.396

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.