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Algorithm for the automatic computation of the modified Anderson-Wilkins acuteness score of ischemia from the pre-hospital ECG in ST-segment elevation myocardial infarction

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Algorithm for the automatic computation of the modified Anderson-Wilkins acuteness score of ischemia from the pre-hospital ECG in ST-segment elevation myocardial infarction. / Fakhri, Yama; Sejersten, Maria; Schoos, Mikkel Malby; Melgaard, Jacob; Graff, Claus; Wagner, Galen S; Clemmensen, Peter; Kastrup, Jens.

In: J ELECTROCARDIOL, Vol. 50, No. 1, 28.11.2016, p. 97-101.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Fakhri, Y, Sejersten, M, Schoos, MM, Melgaard, J, Graff, C, Wagner, GS, Clemmensen, P & Kastrup, J 2016, 'Algorithm for the automatic computation of the modified Anderson-Wilkins acuteness score of ischemia from the pre-hospital ECG in ST-segment elevation myocardial infarction', J ELECTROCARDIOL, vol. 50, no. 1, pp. 97-101. https://doi.org/10.1016/j.jelectrocard.2016.11.005

APA

Fakhri, Y., Sejersten, M., Schoos, M. M., Melgaard, J., Graff, C., Wagner, G. S., Clemmensen, P., & Kastrup, J. (2016). Algorithm for the automatic computation of the modified Anderson-Wilkins acuteness score of ischemia from the pre-hospital ECG in ST-segment elevation myocardial infarction. J ELECTROCARDIOL, 50(1), 97-101. https://doi.org/10.1016/j.jelectrocard.2016.11.005

Vancouver

Fakhri Y, Sejersten M, Schoos MM, Melgaard J, Graff C, Wagner GS et al. Algorithm for the automatic computation of the modified Anderson-Wilkins acuteness score of ischemia from the pre-hospital ECG in ST-segment elevation myocardial infarction. J ELECTROCARDIOL. 2016 Nov 28;50(1):97-101. https://doi.org/10.1016/j.jelectrocard.2016.11.005

Bibtex

@article{9efe2396b6b449129a5e6f5e1f7a670e,
title = "Algorithm for the automatic computation of the modified Anderson-Wilkins acuteness score of ischemia from the pre-hospital ECG in ST-segment elevation myocardial infarction",
abstract = "BACKGROUND: The acuteness score (based on the modified Anderson-Wilkins score) estimates the acuteness of ischemia based on ST-segment, Q-wave and T-wave measurements obtained from the electrocardiogram (ECG) in patients with ST Elevation Myocardial Infarction (STEMI). The score (range 1 (least acute) to 4 (most acute)) identifies patients with substantial myocardial salvage potential regardless of patient reported symptom duration. However, due to the complexity of the score, it is not used in clinical practice. Therefore, we aimed to develop a reliable algorithm that automatically computes the acuteness score.METHODS: We scored 50 pre-hospital ECGs from STEMI patients, manually and by the automated algorithm. We assessed the reliability test between the manual and automated algorithm by interclass correlation coefficient (ICC) and Bland-Altman plot.RESULTS: The ICC was 0.84 (95% CI 0.72-0.91), P<0.0001. The mean difference between manual and automated acuteness score was 0.17±0.66. In only two cases, there was a major disagreement between the two scores. There was an excellent agreement between the scores for the remaining 48 ECGs, all within the upper (1.46) and lower (-1.12) limits of agreement.CONCLUSION: In conclusion, we have developed an automated algorithm for measurement of the modified Anderson-Wilkins ECG acuteness score from the pre-hospital ECG in STEMI patients. This automated algorithm is highly reliable, can be applied in daily practice for research purposes and may be implemented in commercial automated ECG analysis programs to achieve practical use for decision support in the acute phase of STEMI.",
keywords = "Acute Disease, Algorithms, Diagnosis, Computer-Assisted/methods, Electrocardiography/methods, Emergency Medical Services/methods, Female, Humans, Male, Middle Aged, Observer Variation, Pattern Recognition, Automated/methods, Reproducibility of Results, ST Elevation Myocardial Infarction/diagnosis, Sensitivity and Specificity, Severity of Illness Index",
author = "Yama Fakhri and Maria Sejersten and Schoos, {Mikkel Malby} and Jacob Melgaard and Claus Graff and Wagner, {Galen S} and Peter Clemmensen and Jens Kastrup",
note = "Copyright {\textcopyright} 2016 Elsevier Inc. All rights reserved.",
year = "2016",
month = nov,
day = "28",
doi = "10.1016/j.jelectrocard.2016.11.005",
language = "English",
volume = "50",
pages = "97--101",
journal = "J ELECTROCARDIOL",
issn = "0022-0736",
publisher = "Churchill Livingstone",
number = "1",

}

RIS

TY - JOUR

T1 - Algorithm for the automatic computation of the modified Anderson-Wilkins acuteness score of ischemia from the pre-hospital ECG in ST-segment elevation myocardial infarction

AU - Fakhri, Yama

AU - Sejersten, Maria

AU - Schoos, Mikkel Malby

AU - Melgaard, Jacob

AU - Graff, Claus

AU - Wagner, Galen S

AU - Clemmensen, Peter

AU - Kastrup, Jens

N1 - Copyright © 2016 Elsevier Inc. All rights reserved.

PY - 2016/11/28

Y1 - 2016/11/28

N2 - BACKGROUND: The acuteness score (based on the modified Anderson-Wilkins score) estimates the acuteness of ischemia based on ST-segment, Q-wave and T-wave measurements obtained from the electrocardiogram (ECG) in patients with ST Elevation Myocardial Infarction (STEMI). The score (range 1 (least acute) to 4 (most acute)) identifies patients with substantial myocardial salvage potential regardless of patient reported symptom duration. However, due to the complexity of the score, it is not used in clinical practice. Therefore, we aimed to develop a reliable algorithm that automatically computes the acuteness score.METHODS: We scored 50 pre-hospital ECGs from STEMI patients, manually and by the automated algorithm. We assessed the reliability test between the manual and automated algorithm by interclass correlation coefficient (ICC) and Bland-Altman plot.RESULTS: The ICC was 0.84 (95% CI 0.72-0.91), P<0.0001. The mean difference between manual and automated acuteness score was 0.17±0.66. In only two cases, there was a major disagreement between the two scores. There was an excellent agreement between the scores for the remaining 48 ECGs, all within the upper (1.46) and lower (-1.12) limits of agreement.CONCLUSION: In conclusion, we have developed an automated algorithm for measurement of the modified Anderson-Wilkins ECG acuteness score from the pre-hospital ECG in STEMI patients. This automated algorithm is highly reliable, can be applied in daily practice for research purposes and may be implemented in commercial automated ECG analysis programs to achieve practical use for decision support in the acute phase of STEMI.

AB - BACKGROUND: The acuteness score (based on the modified Anderson-Wilkins score) estimates the acuteness of ischemia based on ST-segment, Q-wave and T-wave measurements obtained from the electrocardiogram (ECG) in patients with ST Elevation Myocardial Infarction (STEMI). The score (range 1 (least acute) to 4 (most acute)) identifies patients with substantial myocardial salvage potential regardless of patient reported symptom duration. However, due to the complexity of the score, it is not used in clinical practice. Therefore, we aimed to develop a reliable algorithm that automatically computes the acuteness score.METHODS: We scored 50 pre-hospital ECGs from STEMI patients, manually and by the automated algorithm. We assessed the reliability test between the manual and automated algorithm by interclass correlation coefficient (ICC) and Bland-Altman plot.RESULTS: The ICC was 0.84 (95% CI 0.72-0.91), P<0.0001. The mean difference between manual and automated acuteness score was 0.17±0.66. In only two cases, there was a major disagreement between the two scores. There was an excellent agreement between the scores for the remaining 48 ECGs, all within the upper (1.46) and lower (-1.12) limits of agreement.CONCLUSION: In conclusion, we have developed an automated algorithm for measurement of the modified Anderson-Wilkins ECG acuteness score from the pre-hospital ECG in STEMI patients. This automated algorithm is highly reliable, can be applied in daily practice for research purposes and may be implemented in commercial automated ECG analysis programs to achieve practical use for decision support in the acute phase of STEMI.

KW - Acute Disease

KW - Algorithms

KW - Diagnosis, Computer-Assisted/methods

KW - Electrocardiography/methods

KW - Emergency Medical Services/methods

KW - Female

KW - Humans

KW - Male

KW - Middle Aged

KW - Observer Variation

KW - Pattern Recognition, Automated/methods

KW - Reproducibility of Results

KW - ST Elevation Myocardial Infarction/diagnosis

KW - Sensitivity and Specificity

KW - Severity of Illness Index

U2 - 10.1016/j.jelectrocard.2016.11.005

DO - 10.1016/j.jelectrocard.2016.11.005

M3 - SCORING: Journal article

C2 - 27889057

VL - 50

SP - 97

EP - 101

JO - J ELECTROCARDIOL

JF - J ELECTROCARDIOL

SN - 0022-0736

IS - 1

ER -