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  1. NTU Theses and Dissertations Repository
  2. 醫學院
  3. 臨床醫學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/22614
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳明豐(Ming-Fong Chen)
dc.contributor.authorHui-Chun Huangen
dc.contributor.author黃惠君zh_TW
dc.date.accessioned2021-06-08T04:22:22Z-
dc.date.copyright2010-09-09
dc.date.issued2010
dc.date.submitted2010-07-05
dc.identifier.citation[1] Zheng ZJ; Croft JB; Giles WH; Mensah GA. Sudden cardiac death in the United States, 1989 to 1998. Circulation 2001 Oct 30;104(18):2158-63.
[2] Demirovic, J, Myerburg, RJ. Epidemiology of sudden coronary death: An overview. Prog Cardiovasc Dis 1994; 37:39.
[3] Beaglehole, R, Reddy, S, Leeder, SR. Poverty and human development: the global implications of cardiovascular disease. Circulation 2007; 116:1871.
[4] Lloyd-Jones DM; Larson MG; Beiser A; Levy D. Lifetime risk of developing coronary heart disease. Lancet 1999 Jan 9;353(9147):89-92.
[5] Bayes de Luna A; Coumel P; Leclercq JF. Ambulatory sudden cardiac death: mechanisms of production of fatal arrhythmia on the basis of data from 157 cases. Am Heart J 1989 Jan;117(1):151-9.
[6] Epstein, AE, DiMarco, JP, Ellenbogen, KA, et al. ACC/AHA/HRS 2008 Guidelines for Device-Based Therapy of Cardiac Rhythm Abnormalities: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the ACC/AHA/NASPE 2002 Guideline Update for Implantation of Cardiac Pacemakers and Antiarrhythmia Devices): developed in collaboration with the American Association for Thoracic Surgery and Society of Thoracic Surgeons. Circulation 2008; 117:e350.
[7] Han J, Moe GK. Nonuniform Recovery of Excitability in Ventricular Muscle. Circ Res 1964;14: 44-60.
[8] Kuo CS, Munakata K, Reddy CP, Surawicz B. Characteristics and possible mechanism of ventricular arrhythmia dependent on the dispersion of action potential durations. Circulation 1983;67:1356-67.
[9] Salerno-Uriarte JA, De Ferrari GM, Klersy C, Pedretti RF, Triltto M, Sallusti L et al. Prognostic value of T-wave alternans in patients with heart failure due to nonischemic cardiomyopathy: results of the ALPHA Study. J Am Coll Cardiol 2007;50:1896-904.
[10] Klingenheben T, Zabel M, D'Agostino RB, Cohen RJ, Hohnloser SH. Predictive value of T-wave alternans for arrhythmic events in patients with congestive heart failure. Lancet 2000;356:651-2.
[11] Day CP, McComb JM, Campbell RW. QT dispersion: an indication of arrhythmia risk in patients with long QT intervals. Br Heart J 1990;63:342-4.
[12] Hnatkova K, Malik M, Kautzner J, Gang Y, Camm AJ. Adjustment of QT dispersion assessed from 12 lead electrocardiograms for different numbers of analysed electrocardiographic leads: comparison of stability of different methods. Br Heart J 1994;72:390-6.
[13] 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.
[14] Struthers AD, Davidson NC, Naas A, Pringle T, Pringle S. QT dispersion and triple-vessel coronary disease. Lancet 1997;349:1174-5.
[15] Malik M, Acar B, Gang Y, Yap YG, Hnatkova K, Camm AJ. QT dispersion does not represent electrocardiographic interlead heterogeneity of ventricular repolarization. J Cardiovasc Electrophysiol 2000;11:835-43.
[16] Celik T, Iyisoy A, Kursaklioglu H, Turhan H. QT dispersion: electrophysiological holy grail or the greatest fallacy in the surface ECG? Int J Cardiol 2007;117:404-5.
[17] Kautzner J, Yi G, Camm AJ, Malik M. Short- and long-term reproducibility of QT, QTc, and QT dispersion measurement in healthy subjects. Pacing Clin Electrophysiol 1994;17:928-37.
[18] Murray A, McLaughlin NB, Bourke JP, Doig JC, Furniss SS, Campbell RW. Errors in manual measurement of QT intervals. Br Heart J 1994;71:386-90.
[19] Acar B, Yi G, Hnatkova K, Malik M. Spatial, temporal and wavefront direction characteristics of 12-lead T-wave morphology. Med Biol Eng Comput 1999;37:574-84.
[20] Zabel M, Acar B, Klingenheben T, Franz MR, Hohnloser SH, Malik M. Analysis of 12-lead T-wave morphology for risk stratification after myocardial infarction. Circulation 2000;102:1252-7.
[21] Lin CY, Lin LY, Chen PC. Analysis of T-wave morphology from the 12-lead electrocardiogram for prediction of long-term prognosis in patients initiating haemodialysis. Nephrol Dial Transplant 2007;22:2645-52.
[22] Huang HC, Lin LY, Yu HY, Ho YL*. Risk stratification by T wave morphology for cardiovascular mortality in patients with systolic heart failure. Europace 2009; 11:1522-1528.
[23] Sahn DJ, DeMaria A, Kisslo J, Weyman A. Recommendations regarding quantitation in M-mode echocardiography: results of a survey of echocardiographic measurements. Circulation 1978;58:1072-83.
[24] Zabel M, Klingenheben T, Franz MR, Hohnloser SH. Assessment of QT dispersion for prediction of mortality or arrhythmic events after myocardial infarction: results of a prospective, long-term follow-up study. Circulation 1998;97:2543-50.
[25] Zabel M, Malik M, Hnatkova K, Papademetriou V, Pittaras A, Fletcher RD et al.. 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.
[26] Tomaselli GF, Beuckelmann DJ, Calkins HG, Berger RD, Kessler PD, Lawrence JH et al. Sudden cardiac death in heart failure. The role of abnormal repolarization. Circulation 1994;90:2534-9.
[27] Liu XS, Jiang M, Zhang M, Tang D, Clemo HF, Higgins RSD, Tseng GN. Electrical remodeling in a canine model of ischemic cardiomyopathy. Am J Physiol Heart Circ Physiol 2007;292: H560-571.
[28] Beltrami CA, Finato N, Rocco M, Feruglio GA, Puricelli C, Cigola E et al.. Structural basis of end-stage failure in ischemic cardiomyopathy in humans. Circulation 1994;89:151-63.
[29] Patel PM, Plotnikov A, Kanagaratnam P, Shvilkin A, Sheehan CT, Xiong W et al. Altering ventricular activation remodels gap junction distribution in canine heart. J Cardiovasc Electrophysiol 2001;12:570-7.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/22614-
dc.description.abstract背景
冠狀動脈性心臟病(coronary artery heart disease, CHD)簡稱冠心病,是一種最常見的心臟病。它最常見的猝死機轉就是早期由心室頻脈演變成心室顫動,接著變成心臟無收縮狀態。體內植入式心臟去顫器(ICD),可以自動偵測心律不整發生,經由給予適當的電流刺激予以整流,可避免此類高危險群病人發生猝死的機會。美國心臟學會更於2008年明定了對於曾經發生過猝死症的倖存者、以及家族史有猝死症的病人及嚴重心衰竭的病人,放置植入性心臟去顫器的治療乃是能增加存活率的首選治療(Class I indication)。心電圖的T波代表了心室再極化的過程,由於心室再極化與心律不整的發生是息息相關的,因此在此之前,就有許多方法已被用來偵測 T波的型態變化,希望藉此來預測致命性心律不整的發生。近年來,Acar 等人已發展一個新的方法去計量心室再極化空間與時間變異, T 波型態分析法,這種分析方法除了可以知道心臟電氣活動的時間性分布之外,也可以知道心臟電器活動在空間中的分布。這個新的測量方法中的一些描述符號在最近也被證實可以用來預測心肌梗塞後病人存活的預測指標,同時也可用於預測心臟衰竭病人及長期洗腎病人預後的指標;因此用這些非侵襲性的方法來評估病人是否有心因猝死的危險是很有臨床意義的。本研究希望以心電圖的T波型態分析曾經發生過猝死症而置放植入性心臟整流去顫器的冠心症倖存者其T波型態和穩定型冠心病患者的差異,並以此T波型態的描述性符號來分析這群病人之後的總死亡率、與心律不整發生率的相關性分析。
方法與結果
本研究收集了於2000年至2008年6月於台大醫院因猝死而置放心臟去顫器的冠心症倖存者,追蹤至2009年6月;總共有41位去顫器病人被納入研究,其中有80%為男性,其平均左心室射出分率為47%,將這些病人的心電圖中的T 波用新的T 波型態分析方法來分析。平均追蹤年限為3.1±2.1年,有高血壓、糖尿病的比率分別為73%及50%,冠狀動脈血管阻塞數平均為2.3,在此置放植入性心臟整流去顫器的冠心症病人當中的總死亡率為21.9%,一年內再電擊率及總再電擊率分別為為27%及32%。利用此病例對照的研究方法分析後可以發現置放植入性整流去顫器的冠心症病人其T波型態的描述性符號如TCRT, TMD,LD2與年紀性別相似的穩定型冠心症病人有統計上顯著的不同(P為0.001,<0.001,<0.037)。在所有發生過猝死而置放心臟整流去顫器的冠心症病人中,T波型態的描述性符號PL, PO,及TMD更是可以用來預測其長期存活率的預測因子(relative risk [RR]=1.999; P =0.005),除此之外,TMD也可以預測這些病人之後再發生致命性心律不整的發生率 (RR=2.238; P =0.006)。
討論
由本研究中可以發現在缺氧性心臟病人當中,用來分析心臟的再極化過程的T 波型態分析法,可以明顯區別出其發生心律不整發生比率的高低,就如之前我們所預測的,QTc 並不是一個很好的預測因子,在缺氧性心臟病及發生過猝死而置放植入性心臟去顫器的病人中其QTc在統計上並沒有顯著性的差異。就目前的研究發現,心室異質性(ventricular heterogeneity) 是造成缺氧性心臟病人致命性心律不整發生的重要因素,而T 波型態分析法中的TCRT已經證實可以預測心臟衰竭病人長期的預後,在我們本次實驗中,TCRT並不是預測發生過猝死而置放心臟去顫器的缺氧性心臟病人長期預後或再次發生被電擊率的重要因子,這可能是因為我們研究的這一組病人其左心室平均射出分率為47%,遠高於心臟衰竭病人的左心室射出分率。由我們的研究報告中知道,除了血色素質、肌酸酐值、與冠狀動脈血管阻塞數目是影響置放植入性心臟整流去顫器病人長期預後的預測因子外,T波型態分析法中的PL,PO和TMD可以幫助判斷出高危險性冠心症病人。

結論
本研究利用T波形態的分析方法,發現代表心肌細胞再極化過程異質性的描述性符號TMD, PL and PO,乃是對於發生過猝死而置放心臟整流去顫器的冠心症病人總死亡率的預測因子,而TMD更是這些高危險性病人心律不整再發生率的預測因子。
zh_TW
dc.description.abstractBackground
The most common underlying reason for patients to die suddenly from cardiac arrest is coronary heart disease (CHD). Although a large number of risk factors for Sudden Cardiac Death have been identified, translating these findings into a comprehensive risk stratification strategy is challenging. T wave morphology descriptors on standard twelve-lead electrocardiogram (ECG) have shown to predict arrhythmic events in patients with previous myocardial infarction or congestive heart failure. However, these descriptors have not been considered to determine the risk stratification in CHD patients with Implantable Cardioverter Defibrillator (ICD). This study was conducted to examine T wave morphology descriptors prognostic importance in CHD patients with ICD, comparison CHD patients without ICD.
Methods
41 CHD patients with ICD were compared with 55 CHD patients without ICD and 55 healthy patients using a case-control design. T wave morphology descriptors including (lead dispersion, T wave morphology dispersion, percentage of the loop area, percentage of the outer area, and the total cosine between QRS and T wave [TCRT] were studied in these patients
Results
A total of 41 CHD with ICD patients with a mean age of 65 ± 10 years were enrolled and followed-up for 3.1 ± 2.1 years. In the ICD group, the occurrence rate of HTN and DM were 73% and 50%. The mean left ventricular ejection fraction (LVEF) was 47% ± 14%. The total mortality rate in ICD group was 21.9%, shock within 1 year rate was 27% and shock rate was 32%. QRS duration and T wave morphology descriptors like TCRT, TMD were statistically significantly different in CHD patients and CHD patients with ICD patients.(P<0.001,<0.001 and <0.001 respectively). A stepwise backward Cox regression analysis showed that first shock rate was significantly associated with TMD(P = 0.05). On the basis of PL<0.64, PO>0.298 and TMD>74.1 as cutoff points, a significant difference in long-term survival were observed from a Kaplan-Meier survival curve (P < 0.022, P<0.032 and P<0.038 respectively). The Cox regression analysis showed that total mortality was significantly associated with LVEF (p=0.037), No. of diseased vessel(p=0.028) ,HTN(p=0.024), DM(p=0.033), Creatine (p=0.019), QRS duration (p=0.027), PO(p=0.032) and PL(p=0.032) (Table 5) and first shock was significantly associated with b-blocker use(p=0.046), sex(p=0.047), hypertension (p=0.027)and TMD (P = 0.031).
Conclusion
In conclusion, TCRT ,TMD and QRS duration may provide further risk stratification for CHD patients, and TMD,PO and PL may impact on the long term survival of CHD patients with ICD. Moreover, TMD may be a good predictor for shock rate in CHD patients with ICD.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T04:22:22Z (GMT). No. of bitstreams: 1
ntu-99-P97421016-1.pdf: 1660903 bytes, checksum: 1e78e1c3ef3ca5c37a216244e60f0419 (MD5)
Previous issue date: 2010
en
dc.description.tableofcontents目錄
封面..................................................1
論文口試委員會審定書..................................2
中文摘要..............................................3-5
英文摘要..............................................6-8
第一章緒論............................................13-19
研究背景........................................13-17
QT 間隔與QT 變異的心電圖分析....................17
分析新的T 波型態的描述符號......................18-19
第二章研究目的與假設..................................20
第三章研究方法與材料..................................20- 21
第四章研究結果........................................22-23
病人的結果....................................22
T 波形態的分析結果............................23
生存分析: Kaplan-Meier 估計法與Cox 回歸......23
第五章討論............................................24-25
第六章研究限制與結論..................................26
第七章展望............................................26
論文英文簡述..........................................27-35
參考文獻..............................................36-40
圖目錄
圖1-2.............................................41
圖3-4.............................................42
圖5-6.............................................43
圖7-8.............................................44
圖9 ..............................................45
圖10..............................................46
圖11..............................................47
圖12..............................................48
圖13..............................................49
圖14..............................................50
圖15..............................................51
圖16..............................................52
圖17..............................................53
表目錄
表1...............................................54
表2...............................................55
表3...............................................56
表4...............................................57
表5...............................................58
表6...............................................59
dc.language.isozh-TW
dc.subjectT 波型態zh_TW
dc.subject植入式心臟整流去顫器zh_TW
dc.subjectT 波型態分散度zh_TW
dc.subject心室再極化zh_TW
dc.subjectT wave morphologyen
dc.subjectImplantable Cardioverter Defibrillatoren
dc.subjectT wave morphology dispersionen
dc.subjectventricular repolarizationen
dc.title植入心臟整流去顫器之冠心症病人的T波型態及長期預後分析zh_TW
dc.titleAnalysis of T- wave Morphology for Predicting of Long-term Prognosis in Coronary Heart Disease Patients with Implantable Cardioverter Defibrillatoren
dc.typeThesis
dc.date.schoolyear98-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳文鍾,何奕倫,羅孟宗
dc.subject.keywordT 波型態,植入式心臟整流去顫器,T 波型態分散度,心室再極化,zh_TW
dc.subject.keywordT wave morphology,Implantable Cardioverter Defibrillator,T wave morphology dispersion,ventricular repolarization,en
dc.relation.page59
dc.rights.note未授權
dc.date.accepted2010-07-05
dc.contributor.author-college醫學院zh_TW
dc.contributor.author-dept臨床醫學研究所zh_TW
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