Hypotension is the most common complication of outpatient hemodialysis sessions, with a reported prevalence of 4% to 31%, depending on which definition has been used and whether patients are symptomatic and nursing interventions were required. Dialysis centers which mix the dialysate in the dialysis machine have the opportunity to individualize the composition of the dialysate for patients. This permits a choice of dialysate sodium, potassium, calcium, magnesium, bicarbonate, acetate, and citrate concentrations and temperature. Studies have reported a higher intradialytic systolic blood pressure and fewer episodes of intradialytic hypotension when using a higher dialysate sodium, calcium, magnesium concentrations and lower temperature, but no clinical advantage for changing the potassium, bicarbonate, or citrate for acetate concentrations. The introduction of newer technology allowing real time measurements of plasma electrolyte concentrations will potentially allow changing the dialysate composition to reduce the risk of intradialytic hypotension without increasing the risk of positive electrolyte balances.
The osmolar gap increases with kidney failure. A number of equations have been proposed to calculate serum osmolality, allowing determination of the osmolar gap by comparison with measured osmolality. As glucose and icodextrin absorption can potentially interfere with the laboratory measurement of serum sodium, a key component in equations calculating osmolality, we reviewed the performance of 14 equations used to calculate serum osmolality compared to the measurement of serum osmolality in 144 patients with peritoneal dialysis (PD); 81 (56.3%) males, 76 (52.5%) diabetics, mean age of 64.4 ± 16.3 years, 115 (79.9%) prescribed icodextrin and 38 (26.4%) 22.7 g/L glucose dialysates. Measured serum osmolality was 311 (304–320) mosmo/kg (mmol/kg), whereas calculated osmolality for the 14 equations ranged from a median of 274 (269–284) mosmo/kg to 307 (300–316) mosmo/kg. Bland–Altman mean bias showed that measured serum osmolality was greater than the calculated osmolality ranging from 4.0 mosmo/kg to 36.2 mosmo/kg between the 14 equations, with wide 95% limits of agreement (LoA) ranging from −27.1 mosmo/kg to 19.4 mosmo/kg and from −58.5 mosmo/kg to −13.8 mosmo/kg. Only 2 of the 14 equations gave a mean osmolar gap of <10 mosmo/kg and showed no systematic bias, median serum osmolality of 307 (300–316) and 303 (298–312) mosmo/kg, Spearman ρ of 0.57, 0.62, both p < 0.001, respectively. Our study would suggest that only 2 of the 14 equations we compared with measured serum osmolality showed no systematic bias, but still had too great a bias to be useful in clinical practice. As such we propose a new equation to calculate serum osmolality in patients with PD.
Advanced glycosylation end‐products (AGEs) are reported to be a risk factor for cardiovascular mortality in hemodialysis (HD) patients. As serum AGEs can change with dialysis, measurement of AGEs deposited in the skin by autofluorescence (SAF) is now a recognized method of measuring AGEs. An arteriovenous fistula (AVF) is the preferred way to access blood in HD patients, and as the creation of an AVF changes blood flow distribution in the arm, we wished to determine whether this affected SAF deposition in the skin. SAF was measured using the AGE reader, which directs ultraviolet light at an intensity range of 300‐420 nm (peak 370 nm) in the arms of HD patients dialyzing with an AVF. We measured SAF in 267 patients, 60.3% male, 46.1% diabetic, median duration of dialysis 34.7 (15.1‐64.2) months with AVF. The median SAF was lower in the AVF arm (median 3.4 (2.9‐4.2) vs. 3.7 (3.2‐4.5) AU, P < .001), and for the 160 patients with an upper arm AVF (3.5 (2.9‐4.3) vs. 3.8 (3.2‐4.5) AU, P < .001), but not for the 107 patients dialyzing with a forearm AVF ((3.4 (2.8‐4.2) vs. 3.6 (3.0‐4.5) AU, P = .085). Blood flow was greater for upper arm AVF compared to forearm AVFs (1190 (770‐1960) vs. (930 (653‐1250) mL/min, P = .007), but there was no association between blood flow and SAF (P > .05). AVF alters blood flow in the arm, and we found that SAF measurements were lower in the arm with AVF. We suggest that SAF measurements are made in the non‐AVF arm.
Dual chamber (DC) peritoneal dialysis (PD) dialysates contain fewer glucose degradation products (GDPs), so potentially reducing advanced glycosylation end products (AGEs), which have been reported to increase inflammation and cardiovascular risk. We wished to determine whether use of DC dialysates resulted in demonstrable patient benefits. Biochemical profiles, body composition, muscle strength, and skin autofluorescence measurements of tissue AGEs (SAF) were compared in patients using DC and standard single chamber dialysates. We studied 263 prevalent PD patients from 2 units, 62.4% male, mean age 61.8 ± 16.1 years, 78 (29.7%) used DC dialysates. DC patients were younger (55.9 ± 16.4 vs. 64.2 ± 15.4 years), and more had lower Davies comorbidity score (median 1 (0‐1) vs. 1 (0, 2)), slower peritoneal transport (D/P creatinine 0.67 ± 0.12 vs. 0.73 ± 0.13), greater extracellular water‐to‐total body water (ECW/TBW) ratio (0.46 ± 0.05 vs. 0.42 ± 0.06), all P < .001, whereas there were no differences in the duration of PD (median (IQR) 19 (8‐32) vs. 14 (8‐23) months), residual renal function (Kt/Vurea 0.71 ± 0.71 vs. 0.87 ± 0.82), urine volume (642 (175‐1200) vs. 648 (300‐1200) mL/day), hand grip strength (26.9 ± 10.5 vs. 24.9 ± 10.7 kg), C‐reactive protein (4(1‐10) vs. 4(2‐12) mg/L), and SAF (median 3.60 (3.02, 4.40) vs. 3.50 (3.00, 4.23)) AU. In our cross‐sectional observational study, we were not able to show a demonstrable advantage for using low GDP dialysates over conventional glucose dialysates, in terms of biochemical profiles, residual renal function, muscle strength, or tissue AGE deposition. More patients using low GDP dialysates were slower peritoneal transporters with higher ECW/TBW ratios.
Data on cardiac arrhythmia and electrolyte changes during the dialysis cycle have been limited. Fifty-two hemodialysis (HD) patients underwent 48-h Holter monitoring during early-week and mid-week HD sessions. Pre-HD and post-HD blood samples were collected in both HD sessions. The 48-h Holter data were divided into five phases: (1) 4-h during the early-week HD (HD1), (2) 12-h post-HD1, (3) 16-h period between Phases 2 and 4 (used as the patient's baseline electrocardiography [ECG]), ( 4) 12-h pre-HD2 phase, and(5) 4-h during the mid-week HD (HD2). The patients' mean age was 68.54 ± 13.37 years. We found that the dialysate-to-serum[K] gradient and changes of S[K] were significantly higher in HD1 than in HD2, as well as changes of S [Mg]. There were no significant ECG changes during the 4-h HD1 and HD2 when compared with the baseline ECG. Phase 2 of Holter ECG was the most common phase that showed significant changes (increased QT interval dispersion (QTD), increased ventricular events, increased number of premature ventricular contractions, ST elevation and ST depression), which was contributed from the dialysate[K] 2 mmol/L subgroup, but not the dialysate[K] 3 mmol/L subgroup. In the subgroup of patients with a high ultrafiltration rate (UFR; mean UFR ≥10 mL/kg/h), there were significantly increased ventricular events and ST-segment changes in Phase 2. In conclusion, ECG changes were associated with the dialysis cycle, significantly in the 12-h after early-week HD sessions. These may be associated with low dialysate [K] or high dialysate-to-S[K] gradient, high ultrafiltration rate and duration of the interdialytic interval.
Background Advanced glycosylated end-products (AGEs) have been shown to cause cardiovascular disease, and tissue AGE accumulation can be measured by skin autofluorescence (SAF). AGEs are cleared by the kidney, and thus accumulate in dialysis patients. However, as the results of SAF measurements in peritoneal dialysis patients (PD) have been ambiguous, we examined the association between mortality and SAF. Methods We reviewed SAF measurements in PD patients attending a university associated PD program, along with standard measurements of dialysis adequacy and peritoneal membrane function. Results We studied 341 prevalent PD patients, 61.9% male, mean age 61.2 ± 16 years, and 31.4% of all patients died during a median follow-up of 27.2 (23.3–36.3) months. Patients who died were older, mean age 72 ± 10.5 years, were more often diabetic (60.7%), and had higher median SAF 3.8 (3.2–4.5) AU. On logistic regression, mortality was independently associated with age (odds ratio (OR) 1.1 (95% confidence limits 1.06–1.16), diabetes OR 10.1 (3.1–33.4), SAF OR 3.3 (1.8–6.2), all p < 0.001, and male gender OR 5.2 (1.6–17.4), p = 0.007; and negatively associated with weight OR 0.91 (0.86–0.95), p < 0..001, normalised nitrogen appearance rate (nPNA) OR 0.05 (0.01–0.4), p = 0.005 and mean arterial blood pressure (MAP) OR 0.96 (0.93–0.96), p = 0.03. Conclusions In this observational study, SAF was independently associated with mortality. However, other factors were also associated with mortality, including age, diabetes and malnutrition which have all been reported to affect SAF measurements. Thus, the additional predictive value of measuring SAF compared to standard risk factors for mortality remains to be determined. Graphical abstract
Objective: To compare LUS with other volume assessment methods, and to verify the prognostic value of LUS in Thai chronic HD patients. Materials and Methods: We conducted a prospective cohort study in 36 chronic HD patients. Volume status before the HD session was evaluated by physical examinations, bioimpedance analysis (BIA), and ultrasound lung comets (ULCs). Mortality and morbidities were recorded during a 1-year follow-up period. Results: The degree of lung fluid accumulation was assessed by summation of the number of ULCs, and was classified into 3 groups: mild-to-moderate (ULC<15–29), severe (ULC=30–59), and very severe (ULC>60) in 11.1%, 77.8%, and 11.1% of the patients, respectively. Either clinical edema or lung crackle had low sensitivity (20-32%) to detect extravascular lung water excess in patient with mild-to-moderate ULC and severe ULC. Overhydration assessed by BIA was found in 75% and 64.3% of patients with mild-to-moderate and severe ULC, respecively. In patients with very severe ULC, the admission rate due to volume overload was significantly higher, there was also a trend of increased mortality, as well as intradialytic complications. Conclusion: Clinical assessment and BIA have limited value in determining extravascular fluid excess in the lung. Lung ultrasound is a useful tool to detect subclinical pulmonary congestion. The long-term outcome by using LUS-guided fluid management needs larger population studies.
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