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Yazdani B, Kleber ME, Delgado GE, Yücel G, Asgari A, Gerken AL, Daschner C, Ayasse N, März W, Wanner C, Krämer BK. Blood Pressure and Mortality in the 4D Study. Kidney Blood Press Res 2023; 48:678-687. [PMID: 37806305 PMCID: PMC10627490 DOI: 10.1159/000533136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 07/17/2023] [Indexed: 10/10/2023] Open
Abstract
INTRODUCTION Systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP) are risk factors for cardiovascular mortality (CVM). Pulse pressure (PP) is an easily available parameter of vascular stiffness, but its impact on CVM in chronic dialysis patients with diabetes is unclear. METHODS Therefore, we have examined the predictive value of baseline, predialytic PP, SBP, DBP, and MAP in the German Diabetes and Dialysis (4D) study, a prospective, randomized, double-blind trial enrolling 1,255 patients with type 2 diabetes on hemodialysis in 178 German dialysis centers. RESULTS Mean age was 66.3 years, mean blood pressure 146/76 mm Hg, mean time suffering from diabetes 18.1 years, and mean time on maintenance dialysis 8.3 months. Considered as continuous variables, PP, MAP, SBP, and DBP could not provide a significant mortality prediction for either cardiovascular or all-cause mortality. After dividing the cohort into corresponding tertiles, we also did not detect any significant mortality prediction for PP, SBP, DBP, or MAP, both for all-cause mortality and CVM after adjusting for age and sex. Nevertheless, when comparing the HR plots of the corresponding blood pressure parameters, a pronounced U-curve was seen for PP for both all-cause mortality and CVM, with the trough range being 70-80 mm Hg. DISCUSSION In patients with end-stage renal disease and long-lasting diabetes mellitus predialytic blood pressure parameters at study entry are not predictive for mortality, presumably because there is a very high rate of competing mortality risk factors, resulting in overall very high rates of all-cause and CVM that may no longer be significantly modulated by blood pressure control.
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Affiliation(s)
- Babak Yazdani
- Fifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
| | - Marcus E. Kleber
- Fifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
- SYNLAB MVZ Humangenetik Mannheim, Mannheim, Germany
| | - Graciela E. Delgado
- Fifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
- Center for Preventive Medicine and Digital Health Baden-Württemberg (CPDBW), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gökhan Yücel
- First Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
| | | | - Andreas L.H. Gerken
- Department of Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Clara Daschner
- Fifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
| | - Niklas Ayasse
- Fifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
| | - Winfried März
- Fifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
- Synlab Academy, SYNLAB Holding Deutschland GmbH, Mannheim, Germany
| | - Christoph Wanner
- Division of Nephrology, Department of Medicine, University Hospital of Würzburg and the Comprehensive Heart Failure Center, Würzburg, Germany
| | - Bernhard K. Krämer
- Fifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
- Center for Preventive Medicine and Digital Health Baden-Württemberg (CPDBW), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience ECAS, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
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Feeding during Dialysis Increases Intradialytic Blood Pressure Variability and Reduces Dialysis Adequacy. Nutrients 2022; 14:nu14071357. [PMID: 35405970 PMCID: PMC9002965 DOI: 10.3390/nu14071357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/20/2022] [Accepted: 03/21/2022] [Indexed: 02/01/2023] Open
Abstract
Whether hemodialysis patients should be allowed or even encouraged to eat during dialysis remains a controversial topic. This cross-over study aimed to evaluate the impact of feeding during dialysis on intradialytic blood pressure (BP) profile and dialysis adequacy in 26 patients receiving thrice-weekly, in-center hemodialysis. Over three consecutive mid-week dialysis sessions, intradialytic BP was monitored using the Mobil-O-Graph device (IEM, Stolberg, Germany). Blood samples were also obtained for the determination of the urea reduction ratio (URR). At baseline, patients underwent dialysis without the provision of a meal. In phases A and B, a meal with either high-protein (1.5 gr/kg of body weight) or low-protein (0.7 gr/kg of body weight) content was administered 1 h after the initiation of dialysis. The sequence of meals (high-protein and low-protein or vice versa) was randomized. Average intradialytic systolic BP (SBP) was similar on all three occasions. However, compared with baseline, the standard deviation (SD) (11.7 ± 4.1 vs. 15.6 ± 7.6 mmHg, p < 0.01), coefficient of variation (CV) (9.5 ± 3.7% vs. 12.4 ± 6.0%, p < 0.01) and average real variability (ARV) (9.4 ± 3.9 vs. 12.1 ± 5.2 mmHg, p < 0.01) of intradialytic SBP were higher in phase A. Similarly, compared with the baseline evaluation, all three indices of intradialytic SBP variability were higher in phase B (SD: 11.7 ± 4.1 vs. 14.1 ± 4.5 mmHg, p < 0.05; CV: 9.5 ± 3.7% vs. 11.1 ± 3.8%, p < 0.05; ARV: 9.4 ± 3.9 vs. 10.9 ± 3.9 mmHg, p < 0.05). Compared with dialysis without a meal, the consumption of a high-protein or low-protein meal resulted in a lower URR (73.4 ± 4.3% vs. 65.7 ± 10.7%, p < 0.001 in phase A and 73.4 ± 4.3% vs. 67.6 ± 4.3%, p < 0.001 in phase B, respectively). In conclusion, in the present study, feeding during dialysis was associated with higher intradialytic SBP variability and reduced adequacy of the delivered dialysis.
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