SavedAdd your journal

Journals / Anadolu Kardiyoloji Dergisi / 2009 / Cilt: 9 - Sayı: 3

Egzersizle oluşan miyokard iskeminin değerlendirmesinde otomatik QT dispersiyonun kullanımı

Usefulness of automatic QT dispersion measurement for detecting exercise-induced myocardial ischemia

Akira KURITA
Bonpei TAKASE
Masayuki ISHIHARA
Nobuyuki MASAKI
Hidemi HATTORI
Pages
189–195
Publication Date
2022-10-10
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results: At rest, QTd was significantly greater (p

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: The electrocardiographic index of QT dispersion (QTd) is related to the occurrence of arrhythmia.
📊
Key Findings & Data:Their QTd was measured at rest and after 3 min of exercise during exercise-stress Thallium-201 scintigraphy and compared with conventional ST-segment changes.
💡
Conclusion & Impact:Results: At rest, QTd was significantly greater (p
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: The electrocardiographic index of QT dispersion (QTd) is related to the occurrence of arrhythmia. In patients with suspected or known coronary artery disease, QTd may be affected by exercise. We investigated whether QTd that is automatically calculated by a newly developed computer system could be used as a marker of exercise-induced myocardial ischemia. Methods: The design of this study was prospective and observational. Eighty-three consecutive patients were enrolled in this study. Their QTd was measured at rest and after 3 min of exercise during exercise-stress Thallium-201 scintigraphy and compared with conventional ST-segment changes. The patients were classified into 4 groups (normal group, redistribution group, fixed defect group, redistribution with fixed defect group) based on the result of single photon emission computed tomography. As statistical analysis, one-way ANOVA with post-hoc Scheffe’s method, receiver-operating characteristics (ROC) and multiple logistic regression analysis were performed. Results: At rest, QTd was significantly greater (p

Özet

Amaç: QT dağılımının (QTd) elektrokardiyografik indeksi aritminin sıklığı ile ilgilidir. Koroner hastalığından şüphelenilen veya bilinen hastalarda da QTd egzersiz sırasında değişiklik gösterir. Yeni gelişmiş bir bilgisayar sistemi ile otomatik olarak hesaplanan QT dağılımının, egzersizle oluşan miyokard iskemisinin bir belirleyicisi olarak kullanıp kullanamayacağını araştırdık. Yöntemler: Bu çalışmanın tasarımı prospektif ve gözlemseldir. Seksen üç ardışık hasta bu çalışmaya dahil edildi. QTd istirahatta ve stres-egzersiz Talyum-201 sintigrafi taraması sırasında, egzersizin üçüncü dakikasından sonra ölçüldü ve konvansiyonel ST-segment değişiklikleriyle kıyaslandı. Hastalar, tek foton emisyon bilgisayarlı tomografi sonucuna dayanan dört grupta sınıflandırıldı (normal grup, redistribüsyon grubu, sabit defekt grubu, sabit defektli grubun redistribüsyonu). İstatistiksel analiz olarak, tek yönlü ANOVA, ROC ve çoklu lojistik regresyon analizleri yapıldı. Bulgular: İstirahatta, QT sabit defekt (52±21 ms) ve sabit defekt redistribüsyon (53±20 ms) gruplarında normal ve redistribüsyon grubundan (32±14 ms) (31±16 ms) önemli şekilde daha büyüktü (p

🔖

Cite This Article

KURITA, A., TAKASE, B., ISHIHARA, M., MASAKI, N., HATTORI, H. (2022). Egzersizle oluşan miyokard iskeminin değerlendirmesinde otomatik QT dispersiyonun kullanımı. Anadolu Kardiyoloji Dergisi, Cilt: 9 - Sayı: 3, 189–195. https://ajindex.com/articles/436928

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Miranda CP, Liu J, Kadar A, Janosi A, Froning J, Lehmann KG, et al. Usefulness of exercise-induced ST-segment depression in the inferior leads during exercise testing as a marker for coronary artery disease. Am J Cardiol 1992; 69: 303-7
  2. Goldschlager N, Selzer A, Cohn K. Treadmill stress tests as indicators of presence and severity of coronary artery disease. Ann Intern Med 1976; 85: 277-86
  3. Wu SC, Secchi MB, Radice M, Giagnoni G, Sachero A, Oltrona L, et al. Sex differences in the prevalence of ischemic heart disease and in the response to a stress test in a working population. Eur Heart J 1981; 2: 461-5
  4. Ellestad MH, Savitz S, Bergdall D, Teske J. The false positive stress test. Multivariate analysis of 215 subjects with hemodynamic, angiographic and clinical data. Am J Cardiol 1977; 40: 681-5
  5. Zabel M, Malik M, Hnatkova K, Papademetriou V, Pittaras A, Fletcher RD, Franz MR. Analysis of T-wave morphology from the 12-lead electrocardiogram for prediction of long-term prognosis in male US veterans. Circulation 2002; 105: 1066-70
  6. Stolentiy LN, Pai RG. Value of QT dispersion in the interpretation of exercise stress test in women. Circulation 1997; 96: 904-10
  7. Barr CS, Naas A, Freeman M, Lang CC, Struthers AD. QT dispersion and sudden unexpected death in chronic heart failure. Lancet 1994; 343: 327-9
  8. Lee KW, Kligfield P, Dower GE, Okin PM. QT dispersion, T wave projection and heterogeneity of repolarization in patients with coronary artery disease. Am J Cardiol 2000; 87: 148-51
  9. Xue Q, Reddy S. Algorithms for computerized QT analysis. J Electrocardiol. 1998;30 (Suppl): 181-6
  10. Chaitman BR. Exercise stress testing. In: Braunwald E, editor. Heart disease - 5th ed. Philadelphia; W.B. Saunders Company 1997: 161-3
  11. Cheng J, Kamiya K, Liu W, Tsuji Y, Toyama J, Kodama I. Heterogeneous distribution of the two components of delayed rectifier K+ current: a potential mechanism of the proarrhythmic effects of methanesulfonanilide class III agents. Cardiovascular Res 1999; 43: 135-47
  12. Inoue M, Shimizu M, Ino H, Yamaguchi M, Terai H, Hayashi K, et al. Q-T peak dispersion in congenital long QT syndrome - possible marker of mutation of HERG-. Circ J 2003; 67: 495-8
  13. Lee KW, Kligfield P, Dower GE, Okin PM. QT dispersion, T-wave projection, and heterogeneity of repolarization in patients with coronary artery disease. Am J Cardiol 2001; 87: 148-51
  14. Macfarlane PW, McLaughlin SC, Rodger JC. Influence of lead selection and population