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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
A Personalized Approach to Chronic Kidney Disease and Cardiovascular Disease: JACC Review Topic of the Week
Ashton C Lai1, Solomon W Bienstock1, Raman Sharma1
1Icahn School of Medicine at Mount Sinai Hospital, New York, New York, USA.
Insights
Patients with end-stage renal disease (ESRD) face high cardiovascular death risk due to dialysis-induced shifts. Multimodality imaging offers new ways to predict and manage these cardiac risks in chronic kidney disease (CKD).
Area of Science:
- Nephrology
- Cardiology
- Medical Imaging
Background:
- Cardiovascular disease (CVD) is the leading cause of mortality in end-stage renal disease (ESRD) patients.
- Dialysis initiation in ESRD exacerbates hemodynamic and electrolyte imbalances, contributing to cardiac complications.
- Existing risk models inadequately predict cardiovascular mortality in chronic kidney disease (CKD).
Purpose of the Study:
- To review the cardiovascular risks associated with hemodialysis.
- To explore the pathophysiology of cardiovascular complications in CKD patients undergoing dialysis.
- To examine the role of multimodality imaging in prognostication and risk stratification for these patients.
Main Methods:
- Comprehensive literature review of cardiovascular risks in ESRD and dialysis.
- Discussion of pathophysiological mechanisms linking kidney disease, dialysis, and cardiac events.
- Exploration of multimodality imaging techniques for risk assessment.
Main Results:
- Hemodialysis initiation causes significant fluid and electrolyte shifts, leading to subendocardial ischemia, left ventricular hypertrophy, and diastolic dysfunction.
- These perturbations increase the incidence of acute coronary syndrome and sudden cardiac death in CKD patients.
- Multimodality imaging presents a promising avenue for improved risk stratification and personalized patient management.
Conclusions:
- Cardiovascular complications are a major concern for ESRD patients on dialysis, driven by unique pathophysiological processes.
- Novel applications of multimodality imaging are crucial for enhancing prognostication and guiding personalized treatment strategies.
- Further research integrating imaging into risk prediction models is warranted for better patient outcomes.
Abstract:
Cardiovascular disease is the most common cause of death in patients with end-stage renal disease (ESRD). The initiation of dialysis for treatment of ESRD exacerbates chronic electrolyte and hemodynamic perturbations. Rapid large shifts in effective intravascular volume and electrolyte concentrations ultimately lead to subendocardial ischemia, increased left ventricular wall mass, and diastolic dysfunction, and can precipitate serious arrhythmias through a complex pathophysiological process. These factors, unique to advanced kidney disease and its treatment, increase the overall incidence of acute coronary syndrome and sudden cardiac death. To date, risk prediction models largely fail to incorporate the observed cardiovascular mortality in the CKD population; however, multimodality imaging may provide an additional prognostication and risk stratification. This comprehensive review discusses the cardiovascular risks associated with hemodialysis, and explores the pathophysiology and the novel utilization of multimodality imaging in CKD to promote a personalized approach for these patients with implications for future research.
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