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Zhang N, Wang J, Li Y, Liu J, Zhu H. How Does Rescuer's Position Setting Impact Quality of Chest Compression: A Randomized Crossover Simulation Study on Unexperienced Clinicians. Emerg Med Int 2024; 2024:9950885. [PMID: 39148894 PMCID: PMC11325014 DOI: 10.1155/2024/9950885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 04/16/2024] [Accepted: 06/13/2024] [Indexed: 08/17/2024] Open
Abstract
Background High-quality chest compression (CC) is the crux of survival for cardiac arrest patients. While, rescuers' position setting relative to patients during CC was unrecommended in the present guidelines. We aimed to assess the impact of position settings on CC quality during cardiopulmonary resuscitation (CPR) and to test the heterogeneity related to rescuers' characteristics. Methods We conducted randomized, crossover, simulation trials with clinical students unfamiliar with CPR. The participants received standard training on performing CC and were divided randomly into two groups. The two groups separately performed CC with standing and kneeling positions in turn, forming the crossover design. The trials were performed with standard manikin models. CC quality indicator data were recorded by the tracking and feedback system automatically. Result 156 participants finished at least one round of trial, with 126 participants finishing both rounds. Records for CC with kneeling and standing positions showed statistically significant differences in the correct rate, pause happening, average depth, and happening of over-depth compression. Regression analysis also implied that larger compression depths with the standing position were related to larger height and BMI of the participants. Conclusion When performing CC, the standing position will lead to lower CC quality by larger chance of pause happening and over-depth compression. In addition, compression depth gaps between CC with kneeling and standing position were related with rescuer characteristics including height and BMI, with a threshold effect.
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Affiliation(s)
- Nan Zhang
- Emergency Department The State Key Laboratory for Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jiangshan Wang
- Emergency Department The State Key Laboratory for Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yan Li
- Emergency Department The State Key Laboratory for Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jihai Liu
- Emergency Department The State Key Laboratory for Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Huadong Zhu
- Emergency Department The State Key Laboratory for Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
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Burns B, Marschner I, Eggins R, Buscher H, Morton RL, Bendall J, Keech A, Dennis M. A randomized trial of expedited intra-arrest transfer versus more extended on-scene resuscitation for refractory out of hospital cardiac arrest: Rationale and design of the EVIDENCE trial. Am Heart J 2024; 267:22-32. [PMID: 37871782 DOI: 10.1016/j.ahj.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/11/2023] [Accepted: 10/19/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Refractory Out of Hospital Cardiac Arrest (r-OHCA) is common and the benefit versus harm of intra-arrest transport of patients to hospital is not clear. OBJECTIVE To assess the rate of survival to hospital discharge in adult patients with r-OHCA, initial rhythm pulseless ventricular tachycardia (VT)/ventricular fibrillation (VF) or Pulseless Electrical Activity (PEA) treated with 1 of 2 locally accepted standards of care:1 expedited transport from scene; or2 ongoing advanced life support (ALS) resuscitation on-scene. HYPOTHESIS We hypothesize that expedited transport from scene in r-OHCA improves survival with favorable neurological status/outcome. METHODS/DESIGN Phase III, multi-center, partially blinded, prospective, intention-to-treat, safety and efficacy clinical trial with contemporaneous registry of patient ineligible for the clinical trial. Eligible patients for inclusion are adults with witnessed r-OHCA; estimated age 18 to 70, assumed medical cause with immediate bystander cardiopulmonary resuscitation (CPR); initial rhythm of VF/pulseless VT, or PEA; no return of spontaneous circulation following 3 shocks and/or 15 minutes of professional on-scene resuscitation; with mechanical CPR available. Two hundred patients will be randomized in a 1:1 ratio to either expedited transport from scene or ongoing ALS at the scene of cardiac arrest. SETTING Two urban regions in NSW Australia. OUTCOMES Primary: survival to hospital discharge with cerebral performance category (CPC) 1 or 2. Secondary: safety, survival, prognostic factors, use of ECMO supported CPR and functional assessment at hospital discharge and 4 weeks and 6 months, quality of life, healthcare use and cost-effectiveness. CONCLUSIONS The EVIDENCE trial will determine the potential risks and benefits of an expedited transport from scene of cardiac arrest.
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Affiliation(s)
- Brian Burns
- New South Wales Ambulance, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Ian Marschner
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; NHMRC Clinical Trials Centre, The University of Sydney, Sydney Australia
| | - Renee Eggins
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; NHMRC Clinical Trials Centre, The University of Sydney, Sydney Australia
| | - Hergen Buscher
- St. Vincent's Hospital, Sydney, Australia; University of New South Wales, Sydney, Australia
| | - Rachael L Morton
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; NHMRC Clinical Trials Centre, The University of Sydney, Sydney Australia
| | | | - Anthony Keech
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Royal Prince Alfred Hospital, Sydney, Australia
| | - Mark Dennis
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Royal Prince Alfred Hospital, Sydney, Australia.
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Gottula AL, Shaw CR, Gorder KL, Lane BH, Latessa J, Qi M, Koshoffer A, Al-Araji R, Young W, Bonomo J, Langabeer JR, Yannopoulos D, Henry TD, Hsu CH, Benoit JL. Eligibility of out-of-hospital cardiac arrest patients for extracorporeal cardiopulmonary resuscitation in the United States: A geographic information system model. Resuscitation 2022; 180:111-120. [PMID: 36183812 DOI: 10.1016/j.resuscitation.2022.09.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/10/2022] [Accepted: 09/12/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Recent evidence suggest that extracorporeal cardiopulmonary resuscitation (ECPR) may improve survival rates for nontraumatic out-of-hospital cardiac arrest (OHCA). Eligibility criteria for ECPR are often based on patient age, clinical variables, and facility capabilities. Expanding access to ECPR across the U.S. requires a better understanding of how these factors interact with transport time to ECPR centers. METHODS We constructed a Geographic Information System (GIS) model to estimate the number of ECPR candidates in the U.S. We utilized a Resuscitation Outcome Consortium (ROC) database to model time-dependent rates of ECPR eligibility and the Cardiac Arrest Registry to Enhance Survival (CARES) registry to determine the total number of OHCA patients who meet pre-specified ECPR criteria within designated transportation times. The combined model was used to estimate the total number of ECPR candidates. RESULTS There were 588,203 OHCA patients in the CARES registry from 2013 to 2020. After applying clinical eligibility criteria, 22,104 (3.76%) OHCA patients were deemed eligible for ECPR. The rate of ROSC increased with longer resuscitation time, which resulted in fewer ECPR candidates. The proportion of OHCA patients eligible for ECPR increased with older age cutoffs. Only 1.68% (9,889/588,203) of OHCA patients in the U.S. were eligible for ECPR based on a 45-minute transportation time to an ECMO-ready center model. CONCLUSIONS Less than 2% of OHCA patients are eligible for ECPR in the U.S. GIS models can identify the impact of clinical criteria, transportation time, and hospital capabilities on ECPR eligibility to inform future implementation strategies.
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Affiliation(s)
- Adam L Gottula
- Department of Emergency Medicine, University of Michigan, United States; Department of Anesthesiology, University of Michigan, United States; Max Harry Weil Institute for Critical Care Research and Innovation, United States.
| | - Christopher R Shaw
- Department of Medicine Division of Pulmonary and Critical Care, Oregon Health and Science University, United States
| | - Kari L Gorder
- The Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, United States.
| | - Bennett H Lane
- Department of Emergency Medicine, University of Cincinnati, United States.
| | - Jennifer Latessa
- Department of Planning, The University of Cincinnati, United States.
| | - Man Qi
- Department of Geography and Geographic Information System, The University of Cincinnati, United States.
| | - Amy Koshoffer
- University of Cincinnati Libraries, The University of Cincinnati, United States.
| | - Rabab Al-Araji
- Department of Emergency Medicine, Emory University, United States; The Cardiac Arrest Registry to Enhance Survival, United States.
| | - Wesley Young
- College of Medicine, The University of Cincinnati, United States
| | - Jordan Bonomo
- Department of Emergency Medicine, University of Cincinnati, United States; Department of Neurosurgery, University of Cincinnati, United States.
| | - James R Langabeer
- Department of Emergency, Medicine McGovern School of Medicine, The University of Texas Health Center, United States; UT School of Public Health, The University of Texas Health Center, United States; School of Biomedical Informatics, The University of Texas Health Center, United States.
| | | | - Timothy D Henry
- The Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, United States.
| | - Cindy H Hsu
- Department of Emergency Medicine, University of Michigan, United States; Max Harry Weil Institute for Critical Care Research and Innovation, United States; Department of Surgery, University of Michigan, United States.
| | - Justin L Benoit
- Department of Emergency Medicine, University of Cincinnati, United States.
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Zhang Q, Zhang C, Liu C, Zhan H, Li B, Lu Y, Wei H, Cheng J, Li S, Wang C, Hu C, Liao X. Identification and Validation of Novel Potential Pathogenesis and Biomarkers to Predict the Neurological Outcome after Cardiac Arrest. Brain Sci 2022; 12:brainsci12070928. [PMID: 35884735 PMCID: PMC9316619 DOI: 10.3390/brainsci12070928] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/22/2022] [Accepted: 07/12/2022] [Indexed: 02/01/2023] Open
Abstract
Predicting neurological outcomes after cardiac arrest remains a major issue. This study aimed to identify novel biomarkers capable of predicting neurological prognosis after cardiac arrest. Expression profiles of GSE29540 and GSE92696 were downloaded from the Gene Expression Omnibus (GEO) database to obtain differentially expressed genes (DEGs) between high and low brain performance category (CPC) scoring subgroups. Weighted gene co-expression network analysis (WGCNA) was used to screen key gene modules and crossover genes in these datasets. The protein-protein interaction (PPI) network of crossover genes was constructed from the STRING database. Based on the PPI network, the most important hub genes were identified by the cytoHubba plugin of Cytoscape software. Eight hub genes (RPL27, EEF1B2, PFDN5, RBX1, PSMD14, HINT1, SNRPD2, and RPL26) were finally screened and validated, which were downregulated in the group with poor neurological prognosis. In addition, GSEA identified critical pathways associated with these genes. Finally, a Pearson correlation analysis showed that the mRNA expression of hub genes EEF1B2, PSMD14, RPFDN5, RBX1, and SNRPD2 were significantly and positively correlated with NDS scores in rats. Our work could provide comprehensive insights into understanding pathogenesis and potential new biomarkers for predicting neurological outcomes after cardiac arrest.
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Affiliation(s)
- Qiang Zhang
- Department of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China; (Q.Z.); (C.L.); (B.L.); (Y.L.); (J.C.); (C.W.)
| | - Chenyu Zhang
- Department of Emergency Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; (C.Z.); (H.Z.); (H.W.); (S.L.)
| | - Cong Liu
- Department of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China; (Q.Z.); (C.L.); (B.L.); (Y.L.); (J.C.); (C.W.)
| | - Haohong Zhan
- Department of Emergency Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; (C.Z.); (H.Z.); (H.W.); (S.L.)
| | - Bo Li
- Department of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China; (Q.Z.); (C.L.); (B.L.); (Y.L.); (J.C.); (C.W.)
| | - Yuanzhen Lu
- Department of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China; (Q.Z.); (C.L.); (B.L.); (Y.L.); (J.C.); (C.W.)
| | - Hongyan Wei
- Department of Emergency Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; (C.Z.); (H.Z.); (H.W.); (S.L.)
| | - Jingge Cheng
- Department of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China; (Q.Z.); (C.L.); (B.L.); (Y.L.); (J.C.); (C.W.)
| | - Shuhao Li
- Department of Emergency Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; (C.Z.); (H.Z.); (H.W.); (S.L.)
| | - Chuyue Wang
- Department of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China; (Q.Z.); (C.L.); (B.L.); (Y.L.); (J.C.); (C.W.)
| | - Chunlin Hu
- Department of Emergency Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; (C.Z.); (H.Z.); (H.W.); (S.L.)
- Correspondence: (C.H.); (X.L.)
| | - Xiaoxing Liao
- Department of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China; (Q.Z.); (C.L.); (B.L.); (Y.L.); (J.C.); (C.W.)
- Correspondence: (C.H.); (X.L.)
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