Early detection of acute posterior myocardial infarction using body surface mapping and SPECT scanning

被引:5
|
作者
Neill, Johanne [1 ]
Owens, Colum [1 ]
Harbinson, Mark [2 ]
Adgey, Jennifer [1 ]
机构
[1] Royal Victoria Hosp, Belfast Heart Ctr, Belfast BT12 6BA, Antrim, North Ireland
[2] Queens Univ Belfast, Dept Therapeut & Pharmacol, Belfast, Antrim, North Ireland
关键词
body surface mapping; diagnosis; ECG; posterior myocardial infarction; ST-SEGMENT ELEVATION; SHOCK TRIAL REGISTRY; 12-LEAD ELECTROCARDIOGRAM; CARDIOGENIC-SHOCK; CHEST LEADS; EMERGENCY; MORTALITY; DIAGNOSIS; PAIN;
D O I
10.1097/MCA.0b013e32833db504
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Many patients with non-ST elevation myocardial infarction (NSTEMI) may have posterior STEMI, which should be emergently treated with reperfusion strategies but is difficult to identify by 12-lead ECG. Objectives To compare the initial ECG and body surface map (BSM) for the diagnosis of posterior MI as verified by single-photon emission computed tomography (SPECT) and cTroponin T. Methods Patients with chest pain greater than 20 min at rest with either ST depression of at least 0.1mV in at least one of leads I, aVL or V1-V6 on ECG or STE at least 0.05mV in at least one posterior lead on the BSM which underwent early SPECT scan. Results Sixty patients (87%, 60 out of 69 with interpretable SPECT) had a posterior wall perfusion defect, all had cTroponinT (> 0.09 ng/ml) and thus had posterior MI. Initial ECG showed STE in 24 (40%, 24 out of 60): 36 were non-diagnostic (60%, 36 out of 60). STE on BSM identified inferior MI in seven patients (12%, 7 out of 60), posterior in 32 patients (53%, 32 out of 60), and nine patients had right ventricular (15%, 9 out of 60). Twelve had no STE (20%, 12 out of 60). Of the patients with posterior MI and non-diagnostic ECGs, 53% (19 out of 36) were posterior MI by the BSM and six (17%, 6 out of 36) right ventricular MI only. The BSM correctly identified 53% (32 out of 60) (95% confidence interval 40-66%) of posterior MI. Of the 60 patients with posterior MI, 60% (36) had non-diagnostic ECGs: the BSM identified 42% (25) either as posterior MI or right ventricular MI only. Conclusion We have shown that the BSM diagnoses significantly more posterior MI than the 12-lead ECG, allowing early identification of these patients so that maximum benefit from early reperfusion strategies can be gained. Coron Artery Dis 21: 420-427 (C) 2010 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.
引用
收藏
页码:420 / 427
页数:8
相关论文
共 50 条
  • [11] EARLY DIAGNOSIS AND EXCLUSION OF ACUTE MYOCARDIAL-INFARCTION USING BIOCHEMICAL MONITORING
    LINDAHL, B
    VENGE, P
    WALLENTIN, L
    CORONARY ARTERY DISEASE, 1995, 6 (04) : 321 - 328
  • [12] Automated Acute Myocardial Infarction Detection Using Machine Learning From Phonocardiogram
    Puspasari, Ira
    Ahmadi, Nur
    Pramudyo, Miftah
    Watanabe, Nobuo
    Mengko, Tati L. R.
    Setiawan, Agung W.
    Adiono, Trio
    IEEE ACCESS, 2024, 12 : 189163 - 189179
  • [13] Copeptin Improves Early Diagnosis of Acute Myocardial Infarction
    Keller, Till
    Tzikas, Stergios
    Zeller, Tanja
    Czyz, Ewa
    Lillpopp, Lars
    Ojeda, Francisco M.
    Roth, Alexander
    Bickel, Christoph
    Baldus, Stephan
    Sinning, Christoph R.
    Wild, Philipp S.
    Lubos, Edith
    Peetz, Dirk
    Kunde, Jan
    Hartmann, Oliver
    Bergmann, Andreas
    Post, Felix
    Lackner, Karl J.
    Genth-Zotz, Sabine
    Nicaud, Viviane
    Tiret, Laurence
    Muenzel, Thomas
    Blankenberg, Stefan
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2010, 55 (19) : 2096 - 2106
  • [14] Body surface mapping vs 12-lead electrocardiography to detect ST-elevation myocardial infarction
    Ornato, Joseph P.
    Menown, Ian B. A.
    Peberdy, Mary Ann
    Kontos, Michael C.
    Riddell, John W.
    Higgins, George L., III
    Maynard, Suzanne J.
    Adgey, Jennifer
    AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2009, 27 (07) : 779 - 784
  • [15] Derived vectorcardiogram based automated detection of posterior myocardial infarction using FBSE-EWT technique
    Khan, Sibghatullah, I
    Pachori, Ram Bilas
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 70
  • [16] Body Surface Potential Mapping Improves Diagnosis of Acute Myocardial Infarction in those with Significant Left Main Coronary Artery Stenosis
    Daly, M. J.
    Scott, P.
    Owens, C. G.
    Tomlin, A.
    Smith, B.
    Adgey, J.
    COMPUTING IN CARDIOLOGY 2010, VOL 37, 2010, 37 : 269 - 272
  • [17] MYOCARDIAL INFARCTION DETECTION USING INTELLIGENT ALGORITHMS
    Seenivasagam, V.
    Chitra, R.
    NEURAL NETWORK WORLD, 2016, 26 (01) : 91 - 110
  • [18] CARDIODETECT RAPID TEST FOR THE DIAGNOSIS OF EARLY ACUTE MYOCARDIAL INFARCTION
    Liang, Yan
    Chan, Cangel P. Y.
    Cheung, Kwan-yee
    Cautherley, George W. H.
    Glatz, Jan F. C.
    Renneberg, Reinhard
    Zhu, Jun
    JOURNAL OF IMMUNOASSAY & IMMUNOCHEMISTRY, 2011, 32 (04) : 342 - 352
  • [19] Markers of activated coagulation for early diagnosis of acute myocardial infarction
    Mair, J
    Genser, N
    Maier, J
    Lechleitner, P
    Dienstl, F
    Puschendorf, B
    CLINICA CHIMICA ACTA, 1997, 267 (02) : 239 - 245
  • [20] Detection of myocardial infarction from vectorcardiogram using relevance vector machine
    Tripathy, R. K.
    Dandapat, S.
    SIGNAL IMAGE AND VIDEO PROCESSING, 2017, 11 (06) : 1139 - 1146