کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5728633 1610669 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
New Approaches in TransplantationLiver transplantationRole of Coronary Angiography in Pre-Liver Transplantation Cardiac Evaluation: Experience From an Asian Transplant Institution
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی عمل جراحی
پیش نمایش صفحه اول مقاله
New Approaches in TransplantationLiver transplantationRole of Coronary Angiography in Pre-Liver Transplantation Cardiac Evaluation: Experience From an Asian Transplant Institution
چکیده انگلیسی


- Predictors of abnormal coronary angiography (CA) in pre-LT patients include diabetes, dyslipidemia, IHD, and age ≥65 years.
- A model for predicting risk of abnormal CA in pre-LT patients is proposed.
- Our model aims to reduce the number of unnecessary CA in pre-LT patients.

BackgroundLiver transplant (LT) patients with significant coronary artery disease (CAD) have poorer outcomes. Pre-LT coronary angiography (CA) is associated with significant complications in cirrhotic patients.MethodsThis study aimed to identify predictors of abnormal CA in pre-LT cardiac assessment and to develop a predictive model to reduce unnecessary CA. From January 2006 to June 2013, 122 patients underwent CA based on the current institutional protocol.ResultsForty-one (33.6%) patients had abnormal CA. Univariate analysis showed age ≥65 years (P = .001), cryptogenic cirrhosis (P = .046), cardiac comorbidities (P = .027), ischemic heart disease (IHD; P = .002), left ventricular hypertrophy (LVH; P = .004), hypertension (P = .002), diabetes mellitus (P = .017), dyslipidemia (P < .001), metabolic syndrome (P = .003), ≥2 CAD risk factors (P = .001), and high Framingham risk score (hard CAD risk, P = .018; cardiovascular disease: lipids, P = .002; body mass index, P < .001) to be significant predictors of abnormal CA. A predictive model was developed with the use of multivariable logistic regression and included diabetes, dyslipidemia, IHD, age ≥65 years, and LVH, achieving a specificity of 55.1% and sensitivity of 90.0%. This would reduce unnecessary CA by up to one-half in our study population (from 81 to 35) while maintaining a false negative rate of only 8.5%.ConclusionsDiabetes, dyslipidemia, IHD, age ≥65 years, and LVH appear to be predictors of abnormal CA in pre-LT patients. Our predictive model may help to better select patients for CA, although further validation is required.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transplantation Proceedings - Volume 49, Issue 8, October 2017, Pages 1797-1805
نویسندگان
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