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Prehospital Diagnosis and Oxygen Treatment in ST Elevation Myocardial Infarction

Khoshnood, Ardavan LU (2017) In Faculty of Medicine Doctoral Dissertation Series
Abstract
Introduction
Paper I: An Artificial Neural Network (ANN) was constructed to identify ST Elevation Myocardial Infarction (STEMI) and predict the need for Percutaneous Coronary Intervention (PCI).
Paper II, III and IV: Studies suggest that O2 therapy may be harmful in STEMI patients. We therefore conducted the SOCCER study to evaluate the effects of O2 therapy in STEMI patients.

Methods
Paper I: 560 ambulance ECGs sent to the Cardiac Care Unit (CCU), was together with the CCU physicians interpretation and decision of conducting an acute PCI or not collected, and compared with the interpretation and PCI decision of the ANN.
Paper II, III, IV: Normoxic (≥94%) STEMI patients accepted for acute PCI were in the... (More)
Introduction
Paper I: An Artificial Neural Network (ANN) was constructed to identify ST Elevation Myocardial Infarction (STEMI) and predict the need for Percutaneous Coronary Intervention (PCI).
Paper II, III and IV: Studies suggest that O2 therapy may be harmful in STEMI patients. We therefore conducted the SOCCER study to evaluate the effects of O2 therapy in STEMI patients.

Methods
Paper I: 560 ambulance ECGs sent to the Cardiac Care Unit (CCU), was together with the CCU physicians interpretation and decision of conducting an acute PCI or not collected, and compared with the interpretation and PCI decision of the ANN.
Paper II, III, IV: Normoxic (≥94%) STEMI patients accepted for acute PCI were in the ambulance randomized to standard care with 10 L/min O2 or room air. A subset of the patients underwent echocardiography for determination of the Left Ventricular Ejection Fraction (LVEF) and the Wall Motion Score Index (WMSI). All patients had a Cardiac Magnetic Resonance Imaging (CMRI) to evaluate Myocardial area at Risk (MaR), Infarct Size (IS) and Myocardial Salvage Index (MSI).

Results
Paper I: The area under the ANN’s receiver operating characteristics curve for STEMI detection as well as predicting the need of acute PCI were very good.
Paper II, III, IV: No significant differences could be shown in discussing MaR, MSI or IS between the O2 group (n=46) and the air group (n=49). Neither could any differences be shown for LVEF and WMSI at the index visit as well after six months between the O2 group (n=46) and the air group (n=41)

Conclusions
Paper I: The results indicate that the number of ECGs sent to the CCU could be reduced with 2/3 as the ANN would safely identify ECGs not being STEMI.
Paper II, III, IV: The results suggest that it is safe to withhold O2 therapy in normoxic, stable STEMI patients. (Less)
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author
supervisor
opponent
  • professor Frischknecht Christensen, Erika, Aalborg University, Denmark
organization
publishing date
type
Thesis
publication status
published
subject
keywords
Acute Coronary Syndrome, Artificial Neural Network, Cardiology, Emergency Medicine, Oxygen Therapy, ST Elevation Myocardial Infarction
in
Faculty of Medicine Doctoral Dissertation Series
issue
2017:136
pages
82 pages
publisher
Lund University: Faculty of Medicine
defense location
Belfragesalen, BMC D15, Klinikgatan 32, Lund
defense date
2017-11-03 13:00:00
ISSN
1652-8220
ISBN
978-91-7619-519-2
project
Prehospital Oxygen Treatment in ST Elevation Myocardial Infarction: The Supplemental Oxygen in Catheterized Coronary Emergency Reperfusion (SOCCER) Study
language
English
LU publication?
yes
additional info
ISSN: 1652-8220 Lund University, Faculty of Medicine Doctoral Dissertation Series 2017:136
id
73ca540e-10aa-4d1f-9e26-114901c92a63
date added to LUP
2017-09-14 21:12:00
date last changed
2019-11-19 13:49:27
@phdthesis{73ca540e-10aa-4d1f-9e26-114901c92a63,
  abstract     = {Introduction<br/>Paper I: An Artificial Neural Network (ANN) was constructed to identify ST Elevation Myocardial Infarction (STEMI) and predict the need for Percutaneous Coronary Intervention (PCI). <br/>Paper II, III and IV: Studies suggest that O2 therapy may be harmful in STEMI patients. We therefore conducted the SOCCER study to evaluate the effects of O2 therapy in STEMI patients.<br/><br/>Methods<br/>Paper I: 560 ambulance ECGs sent to the Cardiac Care Unit (CCU), was together with the CCU physicians interpretation and decision of conducting an acute PCI or not collected, and compared with the interpretation and PCI decision of the ANN. <br/>Paper II, III, IV: Normoxic (≥94%) STEMI patients accepted for acute PCI were in the ambulance randomized to standard care with 10 L/min O2 or room air. A subset of the patients underwent echocardiography for determination of the Left Ventricular Ejection Fraction (LVEF) and the Wall Motion Score Index (WMSI). All patients had a Cardiac Magnetic Resonance Imaging (CMRI) to evaluate Myocardial area at Risk (MaR), Infarct Size (IS) and Myocardial Salvage Index (MSI).<br/><br/>Results<br/>Paper I: The area under the ANN’s receiver operating characteristics curve for STEMI detection as well as predicting the need of acute PCI were very good.<br/>Paper II, III, IV: No significant differences could be shown in discussing MaR, MSI or IS between the O2 group (n=46) and the air group (n=49). Neither could any differences be shown for LVEF and WMSI at the index visit as well after six months between the O2 group (n=46) and the air group (n=41)<br/><br/>Conclusions<br/>Paper I: The results indicate that the number of ECGs sent to the CCU could be reduced with 2/3 as the ANN would safely identify ECGs not being STEMI.<br/>Paper II, III, IV: The results suggest that it is safe to withhold O2 therapy in normoxic, stable STEMI patients.},
  author       = {Khoshnood, Ardavan},
  isbn         = {978-91-7619-519-2},
  issn         = {1652-8220},
  language     = {eng},
  number       = {2017:136},
  publisher    = {Lund University: Faculty of Medicine},
  school       = {Lund University},
  series       = {Faculty of Medicine Doctoral Dissertation Series },
  title        = {Prehospital Diagnosis and Oxygen Treatment in ST Elevation Myocardial Infarction},
  url          = {https://lup.lub.lu.se/search/ws/files/32179864/Kappan_MED_art.pdf},
  year         = {2017},
}