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Hillerson DB, Laine ME, Bissell BD, Mefford B. Contemporary targeted temperature management: Clinical evidence and controversies. Perfusion 2022; 38:666-680. [PMID: 35531914 DOI: 10.1177/02676591221076286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Advancements in cardiac arrest and post-cardiac arrest care have led to improved survival to hospital discharge. While survival to hospital discharge is an important clinical outcome, neurologic recovery is also a priority. With the advancement of targeted temperature management (TTM), the American Heart Association guidelines for post-cardiac arrest care recommend TTM in patients who remain comatose after return of spontaneous circulation (ROSC). Recently, the TTM2 randomized controlled trial found no significant difference in neurologic function and mortality at 6-months between traditional hypothermia to 33°C versus 37.5°C. While TTM has been evaluated for decades, current literature suggests that the use of TTM to 33° when compared to a protocol of targeted normothermia does not result in improved outcomes. Instead, perhaps active avoidance of fever may be most beneficial. Extracorporeal cardiopulmonary resuscitation and membrane oxygenation can provide a means of both hemodynamic support and TTM after ROSC. This review aims to describe the pathophysiology, physiologic aspects, clinical trial evidence, changes in post-cardiac arrest care, potential risks, as well as controversies of TTM.
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Affiliation(s)
- Dustin B Hillerson
- 5232University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
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The Differences of CPR Duration Between Shockable and Non-shockable Rhythms in Predicting The Benefit of Target Temperature Management. Shock 2022; 57:652-658. [PMID: 35066516 DOI: 10.1097/shk.0000000000001904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Among cardiac arrest (CA) survivors, whether the combination of duration of cardiopulmonary resuscitation (CPR) and shockable/nonshockable rhythms during resuscitation can help predict the benefit of targeted temperature management (TTM) remains un-investigated. MATERIALS AND METHODS This multicenter retrospective cohort study enrolled 479 nontraumatic adult CA survivors with TTM and CPR duration <60 min during January 2014 to June 2019 from the TaIwan network of targeted temperature ManagEment for CARDiac arrest (TIMECARD) registry. The differences of CPR duration between shockable and nonshockable rhythms in predicting outcomes in the studied population was evaluated. RESULTS We observed that 205 patients (42.8%) survived to hospital discharge and 100 patients (20.9%) presented favorable neurological outcomes at discharge. The enrolled patients were further re-classified into four groups according to shockable/nonshockable rhythms and CPR duration. Patients with shockable rhythms and shorter CPR duration had better survival-to-discharge (adjusted odds ratio [OR] = 2.729, 95% confidence interval [CI] = 1.384-5.383, P = 0.004) and neurological recovery (adjusted OR = 9.029, 95%CI = 3.263-24.983, P < 0.001) than did those with nonshockable rhythms and longer CPR duration. CONCLUSION The CPR duration for predicting outcomes differs between CA patients with shockable and nonshockable rhythms. The combination of shockable/nonshockable rhythms and CPR duration may help predict the prognosis in CA survivors undergoing TTM.
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Chi CY, Ao S, Winkler A, Fu KC, Xu J, Ho YL, Huang CH, Soltani R. Predicting the Mortality and Readmission of In-Hospital Cardiac Arrest Patients With Electronic Health Records: A Machine Learning Approach. J Med Internet Res 2021; 23:e27798. [PMID: 34515639 PMCID: PMC8477292 DOI: 10.2196/27798] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/09/2021] [Accepted: 07/21/2021] [Indexed: 01/01/2023] Open
Abstract
Background In-hospital cardiac arrest (IHCA) is associated with high mortality and health care costs in the recovery phase. Predicting adverse outcome events, including readmission, improves the chance for appropriate interventions and reduces health care costs. However, studies related to the early prediction of adverse events of IHCA survivors are rare. Therefore, we used a deep learning model for prediction in this study. Objective This study aimed to demonstrate that with the proper data set and learning strategies, we can predict the 30-day mortality and readmission of IHCA survivors based on their historical claims. Methods National Health Insurance Research Database claims data, including 168,693 patients who had experienced IHCA at least once and 1,569,478 clinical records, were obtained to generate a data set for outcome prediction. We predicted the 30-day mortality/readmission after each current record (ALL-mortality/ALL-readmission) and 30-day mortality/readmission after IHCA (cardiac arrest [CA]-mortality/CA-readmission). We developed a hierarchical vectorizer (HVec) deep learning model to extract patients’ information and predict mortality and readmission. To embed the textual medical concepts of the clinical records into our deep learning model, we used Text2Node to compute the distributed representations of all medical concept codes as a 128-dimensional vector. Along with the patient’s demographic information, our novel HVec model generated embedding vectors to hierarchically describe the health status at the record-level and patient-level. Multitask learning involving two main tasks and auxiliary tasks was proposed. As CA-mortality and CA-readmission were rare, person upsampling of patients with CA and weighting of CA records were used to improve prediction performance. Results With the multitask learning setting in the model learning process, we achieved an area under the receiver operating characteristic of 0.752 for CA-mortality, 0.711 for ALL-mortality, 0.852 for CA-readmission, and 0.889 for ALL-readmission. The area under the receiver operating characteristic was improved to 0.808 for CA-mortality and 0.862 for CA-readmission after solving the extremely imbalanced issue for CA-mortality/CA-readmission by upsampling and weighting. Conclusions This study demonstrated the potential of predicting future outcomes for IHCA survivors by machine learning. The results showed that our proposed approach could effectively alleviate data imbalance problems and train a better model for outcome prediction.
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Affiliation(s)
- Chien-Yu Chi
- Department of Emergency Medicine, Yunlin Branch, National Taiwan University Hospital, Yunlin, Taiwan
| | - Shuang Ao
- Knowtions Research, Toronto, ON, Canada
| | | | | | - Jie Xu
- Knowtions Research, Toronto, ON, Canada
| | - Yi-Lwun Ho
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chien-Hua Huang
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan
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Chien YS, Tsai MS, Huang CH, Lai CH, Huang WC, Chan L, Kuo LK. Outcomes of Targeted Temperature Management for In-Hospital and Out-Of-Hospital Cardiac Arrest: A Matched Case-Control Study Using the National Database of Taiwan Network of Targeted Temperature Management for Cardiac Arrest (TIMECARD) Registry. Med Sci Monit 2021; 27:e931203. [PMID: 34244465 PMCID: PMC8278959 DOI: 10.12659/msm.931203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND This study aimed to compare outcomes of targeted temperature management (TTM) for patients with in-hospital and out-of-hospital cardiac arrest using the national database of TaIwan network of targeted temperature ManagEment for CARDiac arrest (TIMECARD) registry. MATERIAL AND METHODS A retrospective, matched, case-control study was conducted. Patients with in-hospital cardiac arrest (IHCA) treated with TTM after the return of spontaneous circulation (ROSC) were selected as the case group and controls were defined as the same number of patients with out-of-hospital cardiac arrest (OHCA), matched for sex, age, Charlson comorbidity index, and cerebral performance category. Neurological outcome and survival at hospital discharge were the primary outcome measures. RESULTS Data of 103 patients with IHCA and matched controls with OHCA were analyzed. Patients with IHCA were more likely to experience witnessed arrest and bystander cardiopulmonary resuscitation (CPR). The duration from collapse to the beginning of CPR, CPR time, and the duration from ROSC to initiation of TTM were shorter in the IHCA group but their initial arterial blood pressure after ROSC was lower. Overall, 88% of patients survived to completion of TTM and 43% survived to hospital discharge. Hospital survival (42.7% vs 42.7%, P=1.00) and favorable neurological outcome at discharge (19.4% vs 12.7%, P=0.25) did not differ between the 2 groups. CONCLUSIONS The findings from the national TIMECARD registry showed that clinical outcomes following TTM for patients with IHCA were not significantly different from OHCA when baseline factors were matched.
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Affiliation(s)
- Yu-San Chien
- Department of Critical Care, Mackay Memorial Hospital, Taipei, Taiwan.,Department of Medicine, Mackay Medical College, New Taipei, Taiwan
| | - Min-Shan Tsai
- Department of Emergency Medicine, National Taiwan University Medical College and Hospital, Taipei, Taiwan
| | - Chien-Hua Huang
- Department of Emergency Medicine, National Taiwan University Medical College and Hospital, Taipei, Taiwan
| | - Chih-Hung Lai
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wei-Chun Huang
- Department of Critical Care Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Lung Chan
- Department of Neurology, Taipei Medical University, Shuang-Ho Hospital, New Taipei, Taiwan
| | - Li-Kuo Kuo
- Department of Critical Care, Mackay Memorial Hospital, Taipei, Taiwan.,Department of Medicine, Mackay Medical College, New Taipei, Taiwan
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Yeh HF, Ong HN, Lee BC, Huang CH, Huang CC, Chang WT, Chen WJ, Tsai MS. The Use of Gray-White-Matter Ratios May Help Predict Survival and Neurological Outcomes in Patients Resuscitated From Out-of-Hospital Cardiac Arrest. J Acute Med 2020; 10:77-89. [PMID: 32995159 PMCID: PMC7517965 DOI: 10.6705/j.jacme.202003_10(2).0004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 11/13/2019] [Accepted: 12/05/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND The gray-white-matter ratio (GWR) measured on brain computed tomography (CT) following return of spontaneous circulation (ROSC) has been reported to be helpful in the prognostication of mortality or comatose status of cardiac arrest victims. However, whether the use of GWR in predicting the outcomes in out-of-hospital cardiac arrest (OHCA) survivors in Taiwan population remains uninvestigated. METHODS This retrospective observational study conducted in a single tertiary medical center in Taiwan enrolled all the non-traumatic OHCA adults (> 18 years old) with sustained ROSC (≥ 20 minutes) during the period from 2006 to 2014. Patients with following exclusion criteria were further excluded: no brain CT within 24 hours following ROSC; the presence of intracranial hemorrhage, severe old insult, brain tumor, ventriculoperitoneal shunt, and severe image artifact. The GWR values were obtained from the density measurement of bilateral putamen, caudate nuclei, posterior limbs of internal capsule, corpus callosum, medial cortex and medial white matter of cerebrum in Hounsfield unit with region of interest of 0.11 cm2, and further compared between the patients who survived to hospital discharge or not and the patients with and without good neurological outcome (good: cerebral performance category [CPC] of 1-2, poor: CPC of 3-5), respectively. RESULTS A total of 228 patients were included in the final analysis with 59.2% in male gender and mean age of 65.8-year-old. There were 106 patients (46.5%) survived to hospital discharge and 40 patients (17.5%) discharged with good neurological outcomes. The GWR values of patients who survived to hospital discharge was significantly higher than ones of those who failed (e.g. basal ganglion: 1.239 vs. 1.199, p < 0.001). Patients with good neurological outcome also had higher GWR values than those with poor outcome (e.g. basal ganglion: 1.243 vs. 1.208, p = 0.010). The Area Under Curve of Receiver of Characteristic curve demonstrated fair predicting ability of GWR for survival and neurological outcomes. CONCLUSION The use of GWR measured on bran CT within 24 hours following ROSC can help in predicting survival-to-hospital discharge and neurological outcome in OHCA survivors.
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Affiliation(s)
- Huang-Fu Yeh
- National Taiwan University Medical College and Hospital Department of Emergency Medicine Taipei Taiwan
| | - Hooi-Nee Ong
- National Taiwan University Medical College and Hospital Department of Emergency Medicine Taipei Taiwan
| | - Bo-Ching Lee
- National Taiwan University Medical College and Hospital Department of Radiology Taipei Taiwan
| | - Chien-Hua Huang
- National Taiwan University Medical College and Hospital Department of Emergency Medicine Taipei Taiwan
| | - Chun-Chieh Huang
- Far Eastern Memorial Hospital Department of Radiology New Taipei City Taiwan
| | - Wei-Tien Chang
- National Taiwan University Medical College and Hospital Department of Emergency Medicine Taipei Taiwan
| | - Wen-Jone Chen
- National Taiwan University Medical College and Hospital Department of Emergency Medicine Taipei Taiwan
| | - Min-Shan Tsai
- National Taiwan University Medical College and Hospital Department of Emergency Medicine Taipei Taiwan
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Storm C, Behringer W, Wolfrum S, Michels G, Fink K, Kill C, Arrich J, Leithner C, Ploner C, Busch HJ. [Postcardiac arrest treatment guide]. Med Klin Intensivmed Notfmed 2019; 115:573-584. [PMID: 31197420 DOI: 10.1007/s00063-019-0591-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 03/28/2019] [Accepted: 05/06/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND Treatment after cardiac arrest has become more complex and interdisciplinary over the last few years. Thus, the clinically active intensive and emergency care physician not only has to carry out the immediate care and acute diagnostics, but also has to prognosticate the neurological outcome. AIM The different, most important steps are presented by leading experts in the area, taking into account the interdisciplinarity and the currently valid guidelines. MATERIALS AND METHODS Attention was paid to a concise, practice-oriented presentation. RESULTS AND DISCUSSION The practical guide contains all important steps from the acute care to the neurological prognosis generation that are relevant for the clinically active intensive care physician.
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Affiliation(s)
- C Storm
- Medizinische Klinik mit Schwerpunkt Nephrologie und Internistische Intensivmedizin, Charité - Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Deutschland.
| | - W Behringer
- Zentrum für Notfallmedizin, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Deutschland.
| | - S Wolfrum
- Interdisziplinäre Notaufnahme, Universitätsklinikum Lübeck, Lübeck, Deutschland
| | - G Michels
- Klinik III für Innere Medizin, Herzzentrum, Universität zu Köln, Köln, Deutschland
| | - K Fink
- Universitäts-Notfallzentrum, Universitätsklinikum Freiburg, Sir-Hans-A.-Krebs-Straße, 79106, Freiburg Breisgau, Deutschland
| | - C Kill
- Zentrum für Notfallmedizin, Universitätsklinikum Essen, Essen, Deutschland
| | - J Arrich
- Zentrum für Notfallmedizin, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Deutschland
| | - C Leithner
- Klinik für Neurologie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - C Ploner
- Klinik für Neurologie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - H-J Busch
- Universitäts-Notfallzentrum, Universitätsklinikum Freiburg, Sir-Hans-A.-Krebs-Straße, 79106, Freiburg Breisgau, Deutschland.
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Park MJ, Kwon WY, Kim K, Suh GJ, Shin J, Jo YH, Kim KS, Lee HJ, Kim J, Lee SJ, Kim JY, Cho JH. Prehospital Supraglottic Airway Was Associated With Good Neurologic Outcome in Cardiac Arrest Victims Especially Those Who Received Prolonged Cardiopulmonary Resuscitation. Acad Emerg Med 2017; 24:1464-1473. [PMID: 28898484 DOI: 10.1111/acem.13309] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Revised: 08/13/2017] [Accepted: 09/02/2017] [Indexed: 11/28/2022]
Abstract
OBJECTIVES We performed this study to investigate the association of prehospital supraglottic airway (SGA) on neurologic outcome in cardiac arrest victims with adjustment of postresuscitation variables as well as prehospital and resuscitation variables. METHODS This study was a retrospective study based on a multicenter prospective cohort registry from December 2013 to April 2016. According to the 28-day cerebral performance categories (CPCs) scale, patients were divided into the good-outcome group (CPC 1-2) and the poor-outcome group (CPC 3-5). We compared the two groups with respect to demographic variables, prehospital and in-hospital resuscitation variables, and postresuscitation variables. RESULTS A total of 869 cardiac arrest victims who received in-progress cardiopulmonary resuscitation (CPR) were delivered to the emergency department of three hospitals, and 310 patients were admitted to the intensive care unit. The use of a prehospital SGA was independently associated with 28-day good neurologic outcome (odds ratio [OR] = 7.88; 95% confidence interval [CI] = 1.33-46.53; p = 0.023] when postresuscitation variables were adjusted, although there were no significant association with the acquisition of sustained return of spontaneous circulation (OR = 0.992; 95% CI = 0.591-1.666; p = 0.976). Furthermore, a prehospital SGA was significantly associated with good neurologic outcome, especially in patients who received prolonged CPR (low flow time > 15 minutes; OR = 3.41; 95% CI = 1.23-9.45; p = 0.018) rather than in patients with nonprolonged CPR (OR = 4.50; 95% CI = 0.75-27.13; p = 0.101). CONCLUSIONS When postresuscitation variables were adjusted, the prehospital SGA was independently associated with 28-day good neurologic outcome in cardiac arrest victims.
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Affiliation(s)
- Min Ji Park
- Department of Emergency Medicine; Seoul National University Bundang Hospital; Seongnam-si Gyeonggi-do
| | - Woon Yong Kwon
- Department of Emergency Medicine; Seoul National University College of Medicine; Seoul
- Department of Emergency Medicine; Seoul National University Hospital; Seoul
| | - Kyuseok Kim
- Department of Emergency Medicine; Seoul National University Bundang Hospital; Seongnam-si Gyeonggi-do
| | - Gil Joon Suh
- Department of Emergency Medicine; Seoul National University College of Medicine; Seoul
- Department of Emergency Medicine; Seoul National University Hospital; Seoul
| | - Jonghwan Shin
- Department of Emergency Medicine; Seoul Metropolitan Government-Seoul National University Boramae Medical Center; Seoul
| | - You Hwan Jo
- Department of Emergency Medicine; Seoul National University Bundang Hospital; Seongnam-si Gyeonggi-do
| | - Kyung Su Kim
- Department of Emergency Medicine; Seoul National University College of Medicine; Seoul
- Department of Emergency Medicine; Seoul National University Hospital; Seoul
| | - Hui Jai Lee
- Department of Emergency Medicine; Seoul Metropolitan Government-Seoul National University Boramae Medical Center; Seoul
| | - Joonghee Kim
- Department of Emergency Medicine; Seoul National University Bundang Hospital; Seongnam-si Gyeonggi-do
| | - Se Jong Lee
- Department of Emergency Medicine; Seoul Metropolitan Government-Seoul National University Boramae Medical Center; Seoul
| | - Jeong Yeon Kim
- Department of Emergency Medicine; Seoul National University Hospital; Seoul
| | - Jun Hwi Cho
- Department of Emergency Medicine; Kangwon National University Hospital; Chuncheon-si Gangwon-do Republic of Korea
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