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Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients

Chi-Yung Cheng, I-Min Chiu, Wun-Huei Zeng, Chih-Min Tsai, Chun-Hung Richard Lin, Yue Zhang
2021 BioMed Research International  
Out-of-hospital cardiac arrest (OHCA) is a major health problem worldwide, and neurologic injury remains the leading cause of morbidity and mortality among survivors of OHCA.  ...  Prognostic models trained with ML technique showed appropriate calibration and high discrimination for survival and neurologic outcome of OHCA without using prehospital data, with XGB exhibiting the best  ...  This study was supported by the research deputy of Kaohsiung Chang Gung Memorial Hospital.  ... 
doi:10.1155/2021/9590131 pmid:34589553 pmcid:PMC8476270 fatcat:nj5fp5vk2rdkreo3nhenc2xy2y

MP03: Predicting survival after pediatric out-of-hospital cardiac arrest

I. Drennan, K. Thorpe, S. Cheskes, M. Mamdani, D. Scales, A. Guerguerian, L.J. Morrison
2017 CJEM: Canadian Journal of Emergency Medical Care  
Pediatric out-of-hospital cardiac arrest (OHCA) is unique in terms of epidemiology, treatment, and outcomes.  ...  We then used multivariable logistic regression to examine the role of Utstein factors and duration of resuscitation in predicting survival to hospital discharge.  ...  Jaremko, MD, PhD, University of Alberta, Edmonton, AB MP03Predicting survival after pediatric out-of-hospital cardiac arrestI. Drennan, BSc, K. Thorpe, MMath, S. Cheskes, MD, M.  ... 
doi:10.1017/cem.2017.169 fatcat:bef7t3psvvcevf3pgwegpbaaaq

Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study

Shane Nanayakkara, Sam Fogarty, Michael Tremeer, Kelvin Ross, Brent Richards, Christoph Bergmeir, Sheng Xu, Dion Stub, Karen Smith, Mark Tacey, Danny Liew, David Pilcher (+2 others)
2018 PLoS Medicine  
Using in-hospital data available within the first 24 hours of admission, we aimed to develop more accurate models of risk prediction using both logistic regression (LR) and machine learning (ML) techniques  ...  Resuscitated cardiac arrest is associated with high mortality; however, the ability to estimate risk of adverse outcomes using existing illness severity scores is limited.  ...  Acknowledgments We would like to acknowledge the dedication and hard work of the data collectors, custodians, and ICUs of the ANZICS group.  ... 
doi:10.1371/journal.pmed.1002709 pmid:30500816 pmcid:PMC6267953 fatcat:lpteeshotbgffh3gj7533z342a

Association of ambient temperature with the outcomes in witnessed out-of-hospital cardiac arrest patients: a population-based observational study

Chiwon Ahn, Jihoon Kim, Wonhee Kim, In Young Kim, Hyun Young Choi, Jae Guk Kim, Bongyoung Kim, Shinje Moon, Hyungoo Shin, Juncheol Lee
2019 Scientific Reports  
This study aimed to identify the association between ambient temperature (AT) and patient outcome of witnessed out-of-hospital cardiac arrest (OHCA) occurring outdoors.  ...  Primary outcome was sustained return of spontaneous circulation (ROSC) in hospital. Secondary outcome was survival to hospital discharge.  ...  Out-of-Hospital Cardiac Arrest Surveillance (OHCAS) is a nationwide, population-based database from the Korea Centres for Disease Control and Prevention in Korea.  ... 
doi:10.1038/s41598-019-50074-7 pmid:31527786 pmcid:PMC6746864 fatcat:bsze4t3jzjappljjzdezcwyptu

Current burden of sudden cardiac death: Multiple source surveillance versus retrospective death certificate-based review in a large U.S. community

Sumeet S. Chugh, Jonathan Jui, Karen Gunson, Eric C. Stecker, Benjamin T. John, Barbara Thompson, Nasreen Ilias, Catherine Vickers, Vivek Dogra, Mohamud Daya, Jack Kron, Zhi-Jie Zheng (+2 others)
2004 Journal of the American College of Cardiology  
Of these, 75 cases (21%) were identified using sources other than first responders. Resuscitation was attempted in 237 cases (67%) and successful (survival to hospital discharge) in 28 (8%).  ...  OBJECTIVES We sought to determine the annual incidence of sudden cardiac death (SCD) in the general population using a prospective approach.  ...  Danna, RN, and the emergency medicine, cardiology, and primary care physicians and allied health personnel of the 16 area hospitals.  ... 
doi:10.1016/j.jacc.2004.06.029 pmid:15364331 fatcat:ezsge4f7jzdxxaj2ux2m7bqeo4

Impact of age on extracorporeal membrane oxygenation survival of patients with cardiac failure

Su Nam Lee, Min Seop Jo, Ki-Dong Yoo
2017 Clinical Interventions in Aging  
This study analyzed the impact of age on ECMO survival of patients with cardiac failure, and analyzed predictive factors for survival according to age.  ...  In addition, our study provides understanding of the differences in predictive factors for ECMO survival according to age.  ...  Acknowledgments We acknowledge the helpful support of all authors. Disclosure The authors report no conflicts of interest in this work.  ... 
doi:10.2147/cia.s142994 pmid:28883715 pmcid:PMC5576703 fatcat:b5ggzghrrjdc7exoy5xwumb5ku

ECG derived feature combination versus single feature in predicting defibrillation success in out-of-hospital cardiac arrested patients

M D Ivanović, M Ring, F Baronio, S Calza, V Vukčević, Lj Hadžievski, A Maluckov, B Eskofier
2018 Biomedical engineering and physics express  
Researchers have investigated numerous predictive features and classification methods using single VF feature and/or their combinations, however reported predictabilities are not consistent.  ...  Seven machine learning algorithms were employed for selecting the best performin single feature and combination of features using wrapper method: Logistic Regression (LR), Naïve-Bayes (NB), Decision tree  ...  Introduction Out-of-hospital cardiac arrest (OHCA) represents one of the leading causes of death in Europe with the incidence of 86.4 per 100000 inhabitants per year.  ... 
doi:10.1088/2057-1976/aaebec fatcat:mtwomtetcza3bkrnpt3gohncsi

Sudden Cardiac Arrest Prediction Using Predictive Analytics

Anurag Bhatt, Sanjay Dubey, Ashutosh Bhatt
2017 International Journal of Intelligent Engineering and Systems  
Unfortunately, most hospitals and medical service organization's data are rarely used in clinical research while these datasets has such a huge potential by applying for predictive analytical approach.  ...  In this paper, we have given our efforts to predict the possibility of occurring of these quick and killing attacks using decision model based predictive analytics techniques, so that we can analyze and  ...  Introduction Predictive modeling comes under predictive analytics (a part of data mining) is evolved as a novel field to mine knowledge out of the bulky datasets that contains a huge amount of numeric,  ... 
doi:10.22266/ijies2017.0630.20 fatcat:qc6tlv4eufachdyejc4h7u6bam

Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk

Apeksha Shah, Swati Ahirrao, Sharnil Pandya, Ketan Kotecha, Suresh Rathod
2021 Frontiers in Public Health  
Cardiovascular disease (CVD) is considered to be one of the most epidemic diseases in the world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of healthcare.  ...  The outcome obtained shows an enhanced level of performance with an overall accuracy of 98% using DT on our collected dataset for cardiac risk prediction.  ...  After detecting cardiac arrest, genderwise survival probability, and age-wise cardiac arrest risk scores are also formulated using two approaches: (1) Kaplan-Meier and (2) Cox regression model.  ... 
doi:10.3389/fpubh.2021.762303 pmid:34746087 pmcid:PMC8569303 fatcat:d7hdkxmqyrbo5ng7guqhmrqlcu

Theory and practice of defibrillation: (2) defibrillation for ventricular fibrillation

A A J Adgey
2005 Heart  
arrest (event to discharge). w52 Cost effectiveness of PAD programmes The potential impact of public access defibrillators in Scotland on survival after out of hospital cardiopulmonary arrest was examined  ...  PAD incorporates the use of automated external defibrillators (AEDs) for out-of-hospital sudden cardiac arrests by members of the public with no formal medical background.  ... 
doi:10.1136/hrt.2003.019927 pmid:15604356 pmcid:PMC1768652 fatcat:r36rsttpkjf67hql26ohxqzizy

The Chemokine (C-X3-C Motif) Receptor 1 is a Candidate Prognostic Biomarker after Cardiac Arrest

Pascal Stammet
2012 Journal of Clinical & Experimental Cardiology  
Early prediction of outcome after cardiac arrest (CA) may influence treatment strategies. Existing biomarkers are of limited value.  ...  These variables had additive value to predict survival (AUC 0.84). Conclusion: We identified CX3CR1 as a new candidate prognostic biomarker after CA.  ...  M.K. was recipient of a fellowship from the National Funds of Research of Luxembourg (grant # TR-PDR-BFR07-145).  ... 
doi:10.4172/2155-9880.s2-004 fatcat:xzlp3wifmfgafnros7c7dnhu7i

Polypharmacy prior to in-hospital cardiac arrest among patients with cardiopulmonary diseases: A pilot study

Mina Attin, Simeon Abiola, Rijul Magu, Spencer Rosero, Michael Apostolakos, Christine M. Groth, Robert Block, C.D. (Joey) Lin, Orna Intrator, Deborah Hurley, Kimberly Arcoleo
2020 Resuscitation Plus  
Patterns of medication administration prior to in-hospital cardiac arrest (I-HCA) and the potential impact of these on patient outcomes is not well-established.  ...  Two distinct sub-groups were identified that did not survive to hospital discharge (n = 31): 1) those who received either vasopressin/desmopressin (n = 16) and 2) those who received combinations of psychotherapeutic  ...  Acknowledgement We would like to thank Kaitlyn Buckwell M.S. for her tireless efforts of collecting and verifying data from electronic health records. Dr.  ... 
doi:10.1016/j.resplu.2020.100026 pmid:33969325 pmcid:PMC8104360 fatcat:46dpku7xtvf5de2j7r6r6yqb2a

A Decision Support System For Predicting Hospitalization Of Hemodialysis Patients

Jinn-Yi Yeh, Tai-Hsi Wu
2009 Zenodo  
The mined temporal patterns are helpful for clinicians to predict hospitalization of hemodialysis patients and to suggest them some treatments immediately to avoid hospitalization.  ...  In this study we combined temporal abstraction with data mining techniques for analyzing the dialysis patients' biochemical data to develop a decision support system.  ...  ACKNOWLEDGMENT We are grateful to the National Science Council for the grants program (NSC 96-2221-E-415-005), and to the Hemodialysis Center of Chiayi Yang Ming Hospital for their professional consultations  ... 
doi:10.5281/zenodo.1331128 fatcat:b7cdiau5wrehplmqz7v7bo6vr4

Discovery of predictors of sudden cardiac arrest in diabetes: rationale and outline of the RESCUED (REcognition of Sudden Cardiac arrest vUlnErability in Diabetes) project

Laura H van Dongen, Peter P Harms, Mark Hoogendoorn, Dominic S Zimmerman, Elisabeth M Lodder, Leen M 't Hart, Ron Herings, Henk C P M van Weert, Giel Nijpels, Karin M A Swart, Amber A van der Heijden, Marieke T Blom (+2 others)
2021 Open Heart  
Early recognition of individuals with increased risk of sudden cardiac arrest (SCA) remains challenging.  ...  Clinical data, genetic data (common and rare variant analysis) and metabolic data (metabolomics) will be analysed (using classical analysis techniques and machine learning methods) and combined into a  ...  From ARREST: The authors thank C.M. de Haas, V. van Eeden, R. Stieglis and L.A.E. Bijman for data management, and R.W. Koster, MD, PhD for management of the ARREST project.  ... 
doi:10.1136/openhrt-2020-001554 pmid:33547224 pmcid:PMC7871346 fatcat:vy4m33dirvecvcg3wo6fr2qrs4

Long-term outcome of patients after out-of-hospital cardiac arrest in relation to treatment: a single-centre study

Remco Bergman, Bart Hiemstra, Wybe Nieuwland, Eric Lipsic, Anthony Absalom, Joukje van der Naalt, Felix Zijlstra, Iwan CC van der Horst, Maarten WN Nijsten
2015 European heart journal. Acute cardiovascular care  
Outcome after out-of-hospital cardiac arrest (OHCA) remains poor.  ...  Methods: All patients who achieved return of spontaneous circulation (ROSC) (n=456) admitted to one hospital after OHCA were included.  ...  Flow chart of all patients presenting at the emergency room after out-of-hospital cardiac arrest. After each step the total percentage is set as 100%.  ... 
doi:10.1177/2048872615590144 pmid:26068962 fatcat:on3amz6n2nhihkuqssk6fypwr4
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