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Published on: October 2, 2020
Intradialytic Kinetics of Cardiac Biomarkers During High-Flux Hemodialysis and Post-Dilution Hemodiafiltration: A
Caroline Liboriussen Drivsholm1,2, Louis Nygaard1,3, Gertrud Dam-Dalgeir4
1Department of Nephrology, Aalborg University Hospital, Aalborg, Denmark.
Insights
Hemodiafiltration significantly reduces cardiac biomarkers like troponin I/T and NT-proBNP, unlike hemodialysis. Understanding these changes is crucial for accurate cardiac biomarker interpretation in dialysis patients.
Area of Science:
- Cardiology
- Nephrology
- Biochemistry
Background:
- Limited data exist on hemodialysis effects on cardiac biomarker concentrations.
- Cardiac biomarkers such as high-sensitivity troponin I/T and NT-proBNP are commonly used in clinical practice.
Purpose of the Study:
- To investigate changes in cardiac biomarker concentrations during and after hemodialysis and hemodiafiltration.
- To compare the impact of hemodialysis versus hemodiafiltration on these biomarkers.
Main Methods:
- A randomized crossover study involving 23 stable dialysis patients.
- Patients underwent both high-flux hemodialysis and post-dilution hemodiafiltration.
- Blood samples were collected at multiple time points before, during, and after dialysis sessions.
Main Results:
- Hemodiafiltration significantly reduced high-sensitivity troponin I and T levels, while hemodialysis did not.
- Both hemodialysis and hemodiafiltration reduced N-terminal pro-B-type natriuretic peptide.
- Cardiac biomarker concentrations were significantly lower after hemodiafiltration compared to hemodialysis.
Conclusions:
- Hemodiafiltration effectively reduces cardiac biomarkers, including troponin I/T and NT-proBNP, in dialysis patients.
- Hemodialysis primarily reduces NT-proBNP.
- Dialysis modality influences cardiac biomarker levels, necessitating consideration of the time since the last dialysis session for accurate interpretation.
Background:
There are limited data on how hemodialysis influences cardiac biomarker concentrations. This study aimed to investigate concentration changes of high-sensitivity troponin I and T, and N-terminal pro-B-type natriuretic peptide before, during, and after hemodialysis and hemodiafiltration, and to compare these changes between the two dialysis modalities.
Methods:
Randomized crossover study including 23 stable patients treated with hemodialysis/hemodiafiltration. Patients were randomized to start with high-flux hemodialysis or post-dilution hemodiafiltration, had a washout period of 1-3 weeks, and then crossed over to receive the other modality. Blood samples were collected before dialysis, after 10, 30, 60, 120, 180, and 240 minutes of dialysis, and 30 minutes post-dialysis. Additionally, spent dialysate was collected after 120 minutes of dialysis. Linear mixed-effects models were used to investigate concentration changes and compare dialysis modalities.
Results:
High-sensitivity troponin I and high-sensitivity troponin T were not influenced by hemodialysis; however, hemodiafiltration resulted in a significant decline in both biomarkers. At the end of dialysis, the change was -7.7 ng/L (95% CI: -12.3 to -3.1) for high-sensitivity troponin I and -23.4 ng/L (95% CI: -31.8 to -15.0) for high-sensitivity troponin T. N-terminal pro-B-type natriuretic peptide was significantly reduced with both modalities, with a change of -2954 ng/L (95% CI: -4974 to -934) in hemodialysis and -5161 ng/L (95% CI: -7231 to -3092) in hemodiafiltration. All biomarker concentrations were significantly lower with hemodiafiltration compared to hemodialysis at the end of dialysis.
Conclusions:
High-sensitivity troponin I, high-sensitivity troponin T, and N-terminal pro-B-type natriuretic peptide were significantly reduced with hemodiafiltration in asymptomatic patients treated with dialysis. Hemodialysis reduced N-terminal pro-B-type natriuretic peptide. Cardiac biomarker levels are influenced by dialysis and treatment modality, which could lead to potential misinterpretation. This emphasizes that time since the last dialysis session should be considered when interpreting cardiac biomarkers for diagnostic purposes.
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