Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service

Aleeha Iftikhar; Raymond Bond; Victoria McGilligan; Khaled Rjoob; Charles Knoery; Stephen J. Leslie; Anne McShane; Aaron Peace

doi:10.1109/BIBM47256.2019.8983143

Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service

Aleeha Iftikhar
, Raymond Bond
, Victoria McGilligan
, Khaled Rjoob
, Charles Knoery
, Stephen J. Leslie
, Anne McShane
, Aaron Peace

University of the Highlands and Islands

科研成果: Paper › 同行评审

摘要

Primary percutaneous coronary intervention (PPCI) is a minimally invasive procedure to unblock the arteries which carry blood to the heart. This procedure is carried out once patients are accepted based on the STEMI criteria upon the assessment of 12-lead ECG. This paper reports the analyses of a dataset compiled from patients accepted for PPCI. The primary objective was to explore the features which may predict 30days mortality. The 30 day mortality was The main features identified were a patient's age, sex, door to balloon time, call time, pain time, and activation status. Together these features appear to be a predictor of 30day mortality in patients referred for PPCI (76% accuracy, 70% sensitivity and 85% specificity).

源语言	English
页	1315-1317
页数	3
DOI	https://doi.org/10.1109/BIBM47256.2019.8983143
出版状态	Published - 6 2月 2020
活动	2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019 - San Diego, United States 期限: 18 11月 2019 → 21 11月 2019

Conference

Conference	2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
国家/地区	United States
市	San Diego
时期	18/11/19 → 21/11/19

访问文件

10.1109/BIBM47256.2019.8983143

http://Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service

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引用此

Iftikhar, A., Bond, R., McGilligan, V., Rjoob, K., Knoery, C., Leslie, S. J., McShane, A., & Peace, A. (2020). Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service. 1315-1317. 论文发表于 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, United States. https://doi.org/10.1109/BIBM47256.2019.8983143

@conference{ccdd34f87291473782e304e8125d85dd,

title = "Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service",

abstract = "Primary percutaneous coronary intervention (PPCI) is a minimally invasive procedure to unblock the arteries which carry blood to the heart. This procedure is carried out once patients are accepted based on the STEMI criteria upon the assessment of 12-lead ECG. This paper reports the analyses of a dataset compiled from patients accepted for PPCI. The primary objective was to explore the features which may predict 30days mortality. The 30 day mortality was The main features identified were a patient's age, sex, door to balloon time, call time, pain time, and activation status. Together these features appear to be a predictor of 30day mortality in patients referred for PPCI (76\% accuracy, 70\% sensitivity and 85\% specificity).",

keywords = "30days Mortality, Acute MI, PPCI patient referrals, STEMI",

author = "Aleeha Iftikhar and Raymond Bond and Victoria McGilligan and Khaled Rjoob and Charles Knoery and Leslie, \{Stephen J.\} and Anne McShane and Aaron Peace",

year = "2020",

month = feb,

day = "6",

doi = "10.1109/BIBM47256.2019.8983143",

language = "English",

pages = "1315--1317",

note = "2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019 ; Conference date: 18-11-2019 Through 21-11-2019",

}

Iftikhar, A, Bond, R, McGilligan, V, Rjoob, K, Knoery, C, Leslie, SJ, McShane, A & Peace, A 2020, 'Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service', 论文发表于 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, United States, 18/11/19 - 21/11/19 页码 1315-1317. https://doi.org/10.1109/BIBM47256.2019.8983143

TY - CONF

T1 - Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service

AU - Iftikhar, Aleeha

AU - Bond, Raymond

AU - McGilligan, Victoria

AU - Rjoob, Khaled

AU - Knoery, Charles

AU - Leslie, Stephen J.

AU - McShane, Anne

AU - Peace, Aaron

PY - 2020/2/6

Y1 - 2020/2/6

N2 - Primary percutaneous coronary intervention (PPCI) is a minimally invasive procedure to unblock the arteries which carry blood to the heart. This procedure is carried out once patients are accepted based on the STEMI criteria upon the assessment of 12-lead ECG. This paper reports the analyses of a dataset compiled from patients accepted for PPCI. The primary objective was to explore the features which may predict 30days mortality. The 30 day mortality was The main features identified were a patient's age, sex, door to balloon time, call time, pain time, and activation status. Together these features appear to be a predictor of 30day mortality in patients referred for PPCI (76% accuracy, 70% sensitivity and 85% specificity).

AB - Primary percutaneous coronary intervention (PPCI) is a minimally invasive procedure to unblock the arteries which carry blood to the heart. This procedure is carried out once patients are accepted based on the STEMI criteria upon the assessment of 12-lead ECG. This paper reports the analyses of a dataset compiled from patients accepted for PPCI. The primary objective was to explore the features which may predict 30days mortality. The 30 day mortality was The main features identified were a patient's age, sex, door to balloon time, call time, pain time, and activation status. Together these features appear to be a predictor of 30day mortality in patients referred for PPCI (76% accuracy, 70% sensitivity and 85% specificity).

KW - 30days Mortality

KW - Acute MI

KW - PPCI patient referrals

KW - STEMI

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UR - https://www.scopus.com/pages/publications/85084335628#tab=citedBy

U2 - 10.1109/BIBM47256.2019.8983143

DO - 10.1109/BIBM47256.2019.8983143

M3 - Paper

AN - SCOPUS:85084335628

SP - 1315

EP - 1317

T2 - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019

Y2 - 18 November 2019 through 21 November 2019

ER -

Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service

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