کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11010551 | 1807152 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Electrocadiographic Scoring Helps Predict Left Ventricular Wall Motion Abnormality Commonly Observed after Subarachnoid Hemorrhage
ترجمه فارسی عنوان
برآورد الکتروکاردیوگرام پیش بینی تخریب دیواره بطنی بطن چپ را که معمولا پس از خونریزی سوباراکونوئید مشاهده می شود
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کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
مغز و اعصاب بالینی
چکیده انگلیسی
Background: Cardiac wall motion abnormality (WMA) is a common complication in patients with subarachnoid hemorrhage (SAH) and is one determinant of their prognosis. The aim of this study was to examine whether the electrocardiography (ECG) findings at admission could predict WMA commonly observed after SAH. Materials and methods: We studied 161 SAH patients with SAH who were hospitalized in our institution between April 2007 and November 2010. We performed bedside 2-dimensional transthoracic echocardiography and 12-lead surface ECG within 24hours of SAH onset. Each of the following ECG changes was scored as having 1 point: ST elevation, ST depression and T wave inversion. We summed up the points in every patient and compared with WMA evaluated by echocardiography. Results: The study subjects were classified into 2 groups based on the presence of WMA. Multivariate analysis revealed that ST elevation, ST depression and T wave inversion were strong independent predictors of WMA. Receiver operating characteristic curve determined that the threshold value to predict WMA was 4 points (sensitivity 86.5%, specificity 83.1%, AUC 0.94, P < .0001). Conclusions: In conclusion, a novel ECG score may well predict WMA after SAH which may associate with an increased risk of mortality.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Stroke and Cerebrovascular Diseases - Volume 27, Issue 11, November 2018, Pages 3148-3154
Journal: Journal of Stroke and Cerebrovascular Diseases - Volume 27, Issue 11, November 2018, Pages 3148-3154
نویسندگان
Keiko PhD, Akira MD, PhD, Joji MD, PhD, Yuichi MD, PhD, Kayoko MD, Kunihiko PhD, Risako Bsc, Eiichi MD, PhD, Yukio MD, PhD,