کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2860397 1572344 2008 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Myocardial Tissue Doppler-Based Indexes to Distinguish Right Ventricular Volume Overload from Right Ventricular Pressure Overload
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی کاردیولوژی و پزشکی قلب و عروق
پیش نمایش صفحه اول مقاله
Myocardial Tissue Doppler-Based Indexes to Distinguish Right Ventricular Volume Overload from Right Ventricular Pressure Overload
چکیده انگلیسی
The objective of this study was to develop tissue Doppler parameters that could be used to differentiate right ventricular (RV) volume overload from RV pressure overload. The RV-pressure-overload group consisted of 40 patients with severe pulmonary hypertension, and the RV-volume-overload group consisted of 40 patients who had an atrial septal defect without evidence of right-to-left shunt, significant pulmonary hypertension, or Eisenmenger's complex. Another 40 healthy subjects were enrolled and served as a control group. Routine echocardiography and tissue Doppler imaging were performed. RV myocardial performance index was determined based on data collected during tissue Doppler imaging over the lateral tricuspid annulus. In patients with RV pressure overload, tissue Doppler parameters showed characteristically lower systolic velocity over the tricuspid annulus (RV myocardial systolic wave [Sm]) and longer isovolumic relaxation time (RV-IVRT). Nevertheless, in patients with RV volume overload, RV-Sm increased significantly, but early-diastolic velocity over tricuspid annulus was relatively low. In conclusion, RV-MPI, RV-Sm/early-diastolic velocity over tricuspid annulus, and RV-IVRT/RV-Sm were all useful to differentiate RV pressure overload from volume overload, although RV-IVRT/RV-Sm was the best parameter, with excellent sensitivity and specificity.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The American Journal of Cardiology - Volume 101, Issue 4, 15 February 2008, Pages 536-541
نویسندگان
, , , , , , ,