دورية أكاديمية
Cardiogoniometric parameters for detection of coronary artery disease at rest as a function of stenosis localization and distribution
| العنوان: | Cardiogoniometric parameters for detection of coronary artery disease at rest as a function of stenosis localization and distribution |
|---|---|
| المؤلفون: | Huebner, Thomas, Schuepbach, W M Michael, Seeck, Andrea, Sanz, Ernst, Meier, Bernhard, Voss, Andreas, Pilgram, Roland |
| المصدر: | Huebner, Thomas; Schuepbach, W M Michael; Seeck, Andrea; Sanz, Ernst; Meier, Bernhard; Voss, Andreas; Pilgram, Roland (2010). Cardiogoniometric parameters for detection of coronary artery disease at rest as a function of stenosis localization and distribution. Medical & biological engineering & computing, 48(5), pp. 435-46. Heidelberg: Springer 10.1007/s11517-010-0594-1 |
| بيانات النشر: | Springer |
| سنة النشر: | 2010 |
| المجموعة: | BORIS (Bern Open Repository and Information System, University of Bern) |
| الوصف: | Cardiogoniometry (CGM), a spatiotemporal electrocardiologic 5-lead method with automated analysis, may be useful in primary healthcare for detecting coronary artery disease (CAD) at rest. Our aim was to systematically develop a stenosis-specific parameter set for global CAD detection. In 793 consecutively admitted patients with presumed non-acute CAD, CGM data were collected prior to elective coronary angiography and analyzed retrospectively. 658 patients fulfilled the inclusion criteria, 405 had CAD verified by coronary angiography; the 253 patients with normal coronary angiograms served as the non-CAD controls. Study patients--matched for age, BMI, and gender--were angiographically assigned to 8 stenosis-specific CAD categories or to the controls. One CGM parameter possessing significance (P < .05) and the best diagnostic accuracy was matched to one CAD category. The area under the ROC curve was .80 (global CAD versus controls). A set containing 8 stenosis-specific CGM parameters described variability of R vectors and R-T angles, spatial position and potential distribution of R/T vectors, and ST/T segment alterations. Our parameter set systematically combines CAD categories into an algorithm that detects CAD globally. Prospective validation in clinical studies is ongoing. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://boris.unibe.ch/1895Test/ |
| الإتاحة: | https://doi.org/10.1007/s11517-010-0594-1Test https://boris.unibe.ch/1895/1/s11517-010-0594-1.pdfTest https://boris.unibe.ch/1895Test/ |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.B0C22BB6 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |