Sodium and ultrafiltration profiling in hemodialysis: A long-forgotten issue revisited

The effect of ascending- descending ultrafiltration and sodium profiles on blood pressure in hemodialysis patients: a randomized cross-over study

BACKGROUND

Considering no previous research into the utilization of ascending/descending ultrafiltration and linear sodium profiles in improving blood pressure among hemodialysis patients, the present study aimed to explore the effect of the A/D-UF along with linear sodium profiles on HD patients with hypotension.

METHODS

Applying a crossover design, this clinical trial was fulfilled between December 2022 and June 2023 on 20 patients undergoing HD, randomized into two groups, each one receiving two intervention protocols, viz., (a) an intervention protocol in which the liquid sodium in the dialysis solution was linear and the UF profiling was A/D, and (b) a routine protocol or HD, wherein both liquid sodium and UF in the dialysis solution remained constant. The HD patients' BP was then checked and recorded at six intervals, namely, before HD, one, two, three, and four hours after it, and following its completion, within each session. The data were further statistically analyzed using the IBM SPSS Statistics 20 and the related tests.

RESULTS

In total, 20 patients, including 12 men (60%) and 8 women (40%), with the mean age of 58.00 ± 14.54 on HD for an average of 54 months, were recruited in this study. No statistically significant difference was observed in the mean systolic and diastolic BP levels in the group receiving the A/D-UF profile all through the desired hours (p > 0.05), indicating that the patients did not face many changes in these two numbers during HD. Our cross-over clinical trial demonstrated a statistically significant reduction in symptomatic IDH episodes from 55 to 15% with the application of the A/D-UF profile (p < 0.05).

CONCLUSION

The study demonstrated that the A/D-UF profile could contribute to the stability of blood pressure levels among HD patients, with no significant fluctuations observed during treatment sessions.

TRIAL REGISTRATION

This study was registered in the Iranian Registry of Clinical Trials (no. IRCT20180429039463N5) on 07/01/2023.

An update review on hemodynamic instability in renal replacement therapy patients

BACKGROUND

Hemodynamic instability in patients undergoing kidney replacement therapy (KRT) is one of the most common and essential factors influencing mortality, morbidity, and the quality of life in this patient population.

METHOD

Decreased cardiac preload, reduced systemic vascular resistance, redistribution of fluids, fluid overload, inflammatory factors, and changes in plasma osmolality have all been implicated in the pathophysiology of hemodynamic instability associated with KRT.

RESULT

A cascade of these detrimental mechanisms may ultimately cause intra-dialytic hypotension, reduced tissue perfusion, and impaired kidney rehabilitation. Multiple parameters, including dialysate composition, temperature, posture during dialysis sessions, physical activity, fluid administrations, dialysis timing, and specific pharmacologic agents, have been studied as possible management modalities. Nevertheless, a clear consensus is not reached.

CONCLUSION

This review includes a thorough investigation of the literature on hemodynamic instability in KRT patients, providing insight on interventions that may potentially minimize factors leading to hemodynamic instability.

The cross-cultural adaptation and psychometric evaluation of a learned helplessness scale for maintenance hemodialysis patients in China (LHS-MHD-C)

Learned helplessness (LH) is an important concept in nursing. This study aimed to adapt and translate the Arthritis Helplessness Index scale into a Chinese version of an LH scale for maintenance hemodialysis patients in China (LHS-MHD-C), and to validate its psychometric properties. Data collected included LHS-MHD-C, as well as the Hospital Depression Scale (HADS-D), and the Beck Hopelessness Scale (BHS) for assessing LHS-MHD-C's criterion validity (predictive and concurrent, respectively). The expert consultation and the pilot study demonstrated semantic and conceptual equivalence and content validity (except for Item 3, the item content validity ranged from 0.82 to 1, and the scale content validity was 0.95). An exploratory factor analysis (n = 146) eliminated three items and accepted 11 items for the two factors, explaining 63.87% of the total variance. A CFA (n = 218) showed that the two-factors structure was consistent with the LH theory. The LHS-MHD-C can distinguish between maintenance hemodialysis (MHD) patients of different ages, education, working status, monthly income, and MHD duration. The scale had good concurrent validity with the BHS (r = .78, p < 0.01). Using the HADS-D as a criterion, the LHS-MHD-C showed a sensitivity of 86.2% and a specificity of 96.8%. A total score of 36.5 may be the best cut-off value for predicting MHD patients' depression. The scale showed good reliabilities (Cronbach's α value of .759, test-retest reliability of 0.772, and split-half reliability of 0.774). This study found that the LHS-MHD-C is a reliable and valid scale for assessing Chinese MHD patients' helplessness.

Trajectories of Learned Helplessness in Maintenance Haemodialysis Patients and Their Predictive Effects on Self-Management: A Latent Growth Mixture Modeling Approach

Background

Learned helplessness (LH) is an essential psychological factor influencing maintenance haemodialysis (MHD) patients' health behaviour and is closely related to prognosis of the disease. This study aimed to identify potential trajectories of LH in MHD patients and assess their predictive role in self-management.

Methods

This study was conducted in strict compliance with national laws, the Declaration of Istanbul, and the Declaration of Helsinki. A total of 347 MHD patients at a blood purification centre in Hunan Province, China, were selected as the study population. Four longitudinal surveys (baseline and second/fourth/sixth month after baseline) were conducted using the General Information Questionnaire for MHD patients, the Chinese version of the Learned Helplessness Scale for MHD patients, and the Self-Management Scale for Haemodialysis. Latent growth mixture model (LGMM) analysis was used to identify LH trajectories, and their predictors were analysed using multinomial logistic regression. The predictive role of LH trajectory on self-management was analysed using linear regression.

Results

This study identified three LH trajectories in MHD patients, named the "high-decreasing group" (57.9%), "low-increasing group" (21.3%), and "low-stability group" (20.7%). The results of the univariate analysis showed that sex (χ²=33.777, P < 0.001), age (χ²=10.605, P<0.05), and subjective social status (SSS) (χ²=12.43, P<0.01) were associated with LH trajectory classes. Multinomial logistic regression further demonstrated that gender, age, and SSS were predictors of different LH trajectories. The intercept and slope of the overall LH trajectory were negatively correlated with self-management (β=-0.273, P<0.001; β=-0.234, P<0.01).

Conclusion

MHD patients show three different LH trajectories. The initial level and developmental rate of LH can negatively predict future self-management. It is necessary to screen MHD patients' LH and develop targeted interventions for them with different LH trajectories at specific stages.

Automated adjustment of dialysate sodium by the hemodialysis monitor: Rationale, implementation, and clinical benefits

Prescribing dialysate sodium is the responsibility of the physician, but there are currently no clear guidelines for this prescription. Furthermore, there is quite frequently a significant difference between prescribed and measured dialysate sodium. Several arguments, both theoretical and experimental, suggest that dialysate sodium should be adjusted individually in such a way as to result in a decreasing sodium profile that takes into account the patient's predialytic natremia. The generalization in clinical routine of this strategy requires the integration into the hemodialysis monitor of software making the machine capable to automatically adjust the dialysate sodium at each session. The only three such softwares that have been integrated into hemodialysis machines for routine clinical use are discussed. All three work with conductivity measurements as a surrogate for sodium concentrations. Although there are only a few publications on the use of these softwares in clinical practice, they appear to result in improved intradialytic tolerance to the dialysis treatment, better control of hypertension, and reduced thirst, leading to decreased interdialytic weight gain.