1
40
2
-
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
URL Address
<a href="http://doi.org/10.1016/s0196-0644(05)81792-5" target="_blank" rel="noreferrer noopener">http://doi.org/10.1016/s0196-0644(05)81792-5</a>
Pages
114–120
Issue
2
Volume
19
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Hyperacute T-wave criteria using computer ECG analysis.
Publisher
An entity responsible for making the resource available
Annals of emergency medicine
Date
A point or period of time associated with an event in the lifecycle of the resource
1990
1990-02
Subject
The topic of the resource
Female; Humans; Male; Middle Aged; Predictive Value of Tests; *Electrocardiography; Software; Myocardial Infarction/*diagnosis; Computer-Assisted; *Signal Processing
Creator
An entity primarily responsible for making the resource
Collins M S; Carter J E; Dougherty J M; Majercik S M; Hodsden J E; Logue EE
Description
An account of the resource
Hyperacute T waves (HATWs) have been described as tall-amplitude, primary T-wave abnormalities sometimes seen in the early phases of transmural myocardial infarction. Despite numerous human and animal studies addressing the presence and significance of HATWs, there are no widely held, reliable ECG criteria for their accurate identification. Using a specially designed computer program on a Hewlett-Packard Realm ECG analysis system, we screened 13,393 adult ECGs to identify those having T-wave amplitudes greater than accepted standards (limb leads, greater than 0.5 mV; precordial leads, greater than 1.0 mV). Patients with other known causes of primary and secondary tall T waves were excluded from the study sample. Patients with tall-amplitude T-waves who then developed clinically verifiable myocardial infarction were labeled the HATW group. The HATW group (21) represented 4.1% of the tall T wave group (513) and 0.16% of the entire sample. The remaining patients, who did not meet HATW criteria, were called the early repolarization variant (ERV) group (51). Both groups underwent comparative computer morphology analysis. Nine parameters were statistically significant in discriminating HATWs from early repolarization variants. A combination of J-point position/T-wave amplitude of more than 25%, T-wave amplitude/QRS amplitude of more than 75%, J-point position of more than 0.30 mV, and age of more than 45 years predicted HATWs from a control group with a specificity of 98.0% and a sensitivity of 61.9% and with positive and negative predictive values of 92.9% and 86.2%, respectively. We conclude that HATWs have characterizable discriminating ECG morphology as determined by computer ECG analysis compared with a control group.
Identifier
An unambiguous reference to the resource within a given context
<a href="http://doi.org/10.1016/s0196-0644(05)81792-5" target="_blank" rel="noreferrer noopener">10.1016/s0196-0644(05)81792-5</a>
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Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s).
*Electrocardiography
*Signal Processing
1990
Annals of emergency medicine
Carter J E
Collins M S
Computer-Assisted
Department of Family & Community Medicine
Department of Internal Medicine
Dougherty J M
Female
Hodsden J E
Humans
Logue EE
Majercik S M
Male
Middle Aged
Myocardial Infarction/*diagnosis
NEOMED College of Medicine
Predictive Value of Tests
Software
-
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
URL Address
<a href="http://doi.org/10.1016/j.ajem.2015.12.070" target="_blank" rel="noreferrer noopener">http://doi.org/10.1016/j.ajem.2015.12.070</a>
Pages
531–535
Issue
3
Volume
34
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Outcomes of non-STEMI patients transported by emergency medical services vs private vehicle.
Publisher
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The American journal of emergency medicine
Date
A point or period of time associated with an event in the lifecycle of the resource
2016
2016-03
Subject
The topic of the resource
*Electrocardiography; 80 and over; 80 and Over; Adult; Age Distribution; Aged; Comparative Studies; Demography; Electrocardiography; Emergency Medical Services – Methods; Emergency Medical Services – Statistics and Numerical Data; Emergency Medical Services/methods/*statistics & numerical data; Evaluation Research; Female; Hospital Mortality; Human; Humans; Length of Stay – Statistics and Numerical Data; Length of Stay/statistics & numerical data; Male; Medical Records – Statistics and Numerical Data; Medical Records/statistics & numerical data; Middle Age; Middle Aged; Multicenter Studies; Myocardial Infarction – Diagnosis; Myocardial Infarction – Mortality; Myocardial Infarction – Therapy; Myocardial Infarction/diagnosis/*mortality/therapy; Ohio; Ohio/epidemiology; Outcome Assessment – Statistics and Numerical Data; Outcome Assessment (Health Care)/*statistics & numerical data; Retrospective Design; Retrospective Studies; Severity of Illness Index; Severity of Illness Indices; Time Factors; Transportation of Patients – Methods; Transportation of Patients – Statistics and Numerical Data; Transportation of Patients/*methods/*statistics & numerical data; Trauma Centers – Statistics and Numerical Data; Trauma Centers/statistics & numerical data; Validation Studies
Creator
An entity primarily responsible for making the resource
Bhalla Mary Colleen; Frey Jennifer; Dials Sarah; Baughman Kristin
Description
An account of the resource
BACKGROUND: Non-ST-segment elevation myocardial infarctions (NSTEMIs) are more common but less studied than ST-segment elevation myocardial infarctions (STEMIs) treated by emergency medical services (EMS). OBJECTIVE: The purpose of this study was to evaluate the differences in baseline characteristics and outcomes of NSTEMI patients when arriving by EMS vs self-transport. METHODS: We performed a retrospective medical record review of 96 EMS patients and 96 self-transport patients with the diagnosis of NSTEMI based on billing code. RESULTS: The mean age of patients arriving by EMS was 75 vs 65 years for self-transport patients (P
Identifier
An unambiguous reference to the resource within a given context
<a href="http://doi.org/10.1016/j.ajem.2015.12.070" target="_blank" rel="noreferrer noopener">10.1016/j.ajem.2015.12.070</a>
Rights
Information about rights held in and over the resource
Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s).
*Electrocardiography
2016
80 and over
Adult
Age Distribution
Aged
Baughman Kristin
Bhalla Mary Colleen
Comparative Studies
Demography
Department of Family & Community Medicine
Dials Sarah
Electrocardiography
Emergency Medical Services – Methods
Emergency Medical Services – Statistics and Numerical Data
Emergency Medical Services/methods/*statistics & numerical data
Evaluation Research
Female
Frey Jennifer
Hospital Mortality
Human
Humans
Length of Stay – Statistics and Numerical Data
Length of Stay/statistics & numerical data
Male
Medical Records – Statistics and Numerical Data
Medical Records/statistics & numerical data
Middle Age
Middle Aged
Multicenter Studies
Myocardial Infarction – Diagnosis
Myocardial Infarction – Mortality
Myocardial Infarction – Therapy
Myocardial Infarction/diagnosis/*mortality/therapy
NEOMED College of Medicine
Ohio
Ohio/epidemiology
Outcome Assessment – Statistics and Numerical Data
Outcome Assessment (Health Care)/*statistics & numerical data
Retrospective Design
Retrospective Studies
Severity of Illness Index
Severity of Illness Indices
The American journal of emergency medicine
Time Factors
Transportation of Patients – Methods
Transportation of Patients – Statistics and Numerical Data
Transportation of Patients/*methods/*statistics & numerical data
Trauma Centers – Statistics and Numerical Data
Trauma Centers/statistics & numerical data
Validation Studies