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1.
Clin Kidney J ; 8(4): 400-4, 2015 Aug.
Article in English | MEDLINE | ID: mdl-26251706

ABSTRACT

BACKGROUND: The infusion of microbubbles as a side effect of haemodialysis was repeatedly demonstrated in recent publications, but the knowledge on the source of microbubbles and on microbubble formation is scarce. METHODS: Microbubbles in the range of 10-500 µm were measured by a non-invasive bubble counter based on a pulsed ultrasonic Doppler system in a non-interventional study of a single centre. Totally, 29 measurements were performed in standard treatments covering a broad range of patient and treatment conditions (types of blood access, treatment modes, blood flow rates and arterial pressures). RESULTS: Several possible sources of microbubbles could be identified such as an arterial luer lock connector at negative pressure and remnant bubbles from insufficient priming, but some sources of microbubbles remain unknown. Microbubbles were found in all treatments, haemodialysis (HD) and online haemodiafiltration. The lowest average microbubble rates (17 ± 16 microbubbles per minute) were observed in patients treated by online haemodiafiltration at medium blood flow rates and moderate arterial pressures and the highest average microbubble rates (117 ± 63 microbubbles per minute) at high blood flow rates (550 mL/min) and low arterial pressures (-210 mmHg). Generally, the microbubble rate correlated to both blood flow rate (correlation coefficient r = 0.45) and negative arterial pressure (r = 0.67). CONCLUSIONS: Microbubbles are a general side effect of HD; origin and pathophysiologic consequences of this phenomenon are not well understood, and deserve further study.

2.
Nephrol Dial Transplant ; 24(5): 1574-9, 2009 May.
Article in English | MEDLINE | ID: mdl-19131355

ABSTRACT

BACKGROUND: While cardiovascular events remain the primary form of mortality in haemodialysis (HD) patients, few centres are aware of the impact of the hydration status (HS). The aim of this study was to investigate how the magnitude of the prevailing overhydration influences long-term survival. METHODS: We measured the hydration status in 269 prevalent HD patients (28% diabetics, dialysis vintage = 41.2 +/- 70 months) in three European centres with a body composition monitor (BCM) that enables quantitative assessment of hydration status and body composition. The survival of these patients was ascertained after a follow-up period of 3.5 years. The cut off threshold for the definition of hyperhydration was set to 15% relative to the extracellular water (ECW), which represents an excess of ECW of approximately 2.5 l. Cox-proportional hazard models were used to compare survival according to the baseline hydration status for a set of demographic data, comorbid conditions and other predictors. RESULTS: The median hydration state (HS) before the HD treatment (DeltaHSpre) for all patients was 8.6 +/- 8.9%. The unadjusted gross annual mortality of all patients was 8.5%. The hyperhydrated subgroup (n = 58) presented DeltaHSpre = 19.9 +/- 5.3% and a gross mortality of 14.7%. The Cox adjusted hazard ratios (HRs) revealed that age (HRage = 1.05, 1/year; P < 0.001), systolic blood pressure (BPsys) (HRBPsys = 0.986 1/mmHg; P = 0.014), diabetes (HRDia = 2.766; P < 0.001), peripheral vascular disease (PVD) (HRPVD = 1.68; P = 0.045) and relative hydration status (DeltaHSpre) (HRDeltaHSpre = 2.102 P = 0.003) were the only significant predictors of mortality in our patient population. CONCLUSION: The results of our study indicate that the hydration state is an important and independent predictor of mortality in chronic HD patients secondary only to the presence of diabetes. We believe that it is essential to measure the hydration status objectively and quantitatively in order to obtain a more clearly defined assessment of the prognosis of haemodialysis patients.


Subject(s)
Kidney Diseases/therapy , Renal Dialysis , Water-Electrolyte Imbalance/epidemiology , Water-Electrolyte Imbalance/mortality , Aged , Aged, 80 and over , Body Composition/physiology , Follow-Up Studies , Humans , Kaplan-Meier Estimate , Kidney Diseases/physiopathology , Middle Aged , Predictive Value of Tests , Prognosis , Proportional Hazards Models , Retrospective Studies , Risk Factors , Water-Electrolyte Imbalance/diagnosis
3.
Contrib Nephrol ; 161: 115-118, 2008.
Article in English | MEDLINE | ID: mdl-18451666

ABSTRACT

Whole-body impedance spectroscopy (BCM) has been validated by comparing isotope dilution methods for precisely measuring body volume compartments. Clinical assessment as well as comparison to other methods shows that BCM predicts a reliable individual dialysis target weight in kilograms, which corresponds to a physiological (normal) extracellular volume. BCM is helpful in the management of volume status and arterial hypertension in hemodialysis patients as well as in patients with chronic kidney disease. Quantified by BCM, overhydration is a powerful predictor of death in hemodialysis patients.


Subject(s)
Body Composition , Electric Impedance , Extracellular Fluid/metabolism , Renal Dialysis , Spectrum Analysis/methods , Body Weight , Humans
4.
Kidney Int ; 61(6): 2250-8, 2002 Jun.
Article in English | MEDLINE | ID: mdl-12028467

ABSTRACT

BACKGROUND: Quantitative techniques are necessary to achieve dry weight (DW) in patients with kidney failure. Bioimpedance spectroscopy (BIS) is a non-invasive method that determines the volume of body fluid compartments. The current work evaluates the use of BIS data in hemodialysis patients for the prediction of DW. METHODS: A new technique has been devised for the estimation of DW that involves the intersection of two slopes, slope normovolemia (SNV) and slope hypervolemia (SHV). These slopes characterize the variation in extracellular water (ECW) with body weight (BW) in the states of normovolemia and hypervolemia, respectively. SNV was established via measurements of ECW and BW in 30 healthy subjects. In a longitudinal study in new hemodialysis patients, successive reduction of post-dialysis weight (PDW) was attempted until clinical signs of normovolemia were presented. Measurements of ECW and BW that were acquired at the beginning of each treatment were used to determine SHV. RESULTS: SNV was found to be 0.239 L/kg and 0.214 L/kg for male and female healthy subjects, respectively. A significant DeltaPDW predicted by the new method (-4.98 kg) was highly correlated to the DeltaPDW achieved in the study (-5.85 kg, R = 0.839). Blood pressure was reduced (P < 0.001) and an 86% decrease in antihypertensive agents was achieved. CONCLUSION: The method of intersecting slopes (SHV with SNV) via BIS is a new method for the prediction DW. This approach will offer considerable improvement for the routine management of DW in the dialysis setting.


Subject(s)
Body Fluids/metabolism , Electric Impedance , Renal Dialysis , Adult , Antihypertensive Agents/therapeutic use , Blood Pressure/drug effects , Body Water/metabolism , Extracellular Space/metabolism , Female , Forecasting , Humans , Longitudinal Studies , Male , Reference Values
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