The mechanisms underlying acute myocardial infarction in chronic kidney disease patients undergoing hemodialysis

Cardiovascular disease (CVD) is a leading cause of death in chronic kidney disease (CKD). Hemodialysis is one of the main treatments for patients with end-stage kidney disease. Epidemiological data has shown that acute myocardial infarction (AMI) accounts for the main reason for death in patients with CKD under hemodialysis therapy. Immune dysfunction and changes in metabolism (including a high level of inflammatory cytokines, a disorder of lipid and mineral ion homeostasis, accumulation of uremic toxins et al.) during CKD can deteriorate stability of atherosclerotic plaque and promote vascular calcification, which are exactly the pathophysiological mechanisms underlying the occurrence of AMI. Meanwhile, the hemodialysis itself also has adverse effects on lipoprotein, the immune system and hemodynamics, which contribute to the high incidence of AMI in these patients. This review aims to summarize the mechanisms and further promising methods of prevention and treatment of AMI in CKD patients undergoing hemodialysis, which can provide an excellent paradigm for exploring the crosstalk between the kidney and cardiovascular system.

Digital Health Support: Current Status and Future Development for Enhancing Dialysis Patient Care and Empowering Patients

Chronic kidney disease poses a growing global health concern, as an increasing number of patients progress to end-stage kidney disease requiring kidney replacement therapy, presenting various challenges including shortage of care givers and cost-related issues. In this narrative essay, we explore innovative strategies based on in-depth literature analysis that may help healthcare systems face these challenges, with a focus on digital health technologies (DHTs), to enhance removal and ensure better control of broader spectrum of uremic toxins, to optimize resources, improve care and outcomes, and empower patients. Therefore, alternative strategies, such as self-care dialysis, home-based dialysis with the support of teledialysis, need to be developed. Managing ESKD requires an improvement in patient management, emphasizing patient education, caregiver knowledge, and robust digital support systems. The solution involves leveraging DHTs to automate HD, implement automated algorithm-driven controlled HD, remotely monitor patients, provide health education, and enable caregivers with data-driven decision-making. These technologies, including artificial intelligence, aim to enhance care quality, reduce practice variations, and improve treatment outcomes whilst supporting personalized kidney replacement therapy. This narrative essay offers an update on currently available digital health technologies used in the management of HD patients and envisions future technologies that, through digital solutions, potentially empower patients and will more effectively support their HD treatments.

Bioimpedance analysis is not superior to clinical assessment in determining hydration status: A prospective randomized-controlled trial in a Western dialysis population

INTRODUCTION

Fluid management is an important goal of dialysis treatment. The accurate assessment of fluid status is still a challenge for clinical nephrologists. Bioimpedance analysis (BIA) has been proposed as an objective tool to assess hydration.

METHODS

This was a prospective randomized controlled study to compare hydration status measured by clinical assessment compared to BIA using a body composition monitor (BCM). The primary outcome was defined as the decline of cardiac biomarker N-terminal pro brain natriuretic peptide (NT-proBNP) from baseline to the end of the study.

FINDINGS

About 281 chronic hemodialysis patients were assessed for eligibility, and 132 patients provided written informed consent to participate (65 BIA group, 67 clinical group). Predialytic NT-proBNP, and decline of NT-proBNP were similar in both groups. The amount of overhydration (2.18 ± 2.11 L vs. 1.29 ± 1.97 L; p 0.016) and the number of patients with severe overhydration (46.0% vs. 30.6%, p = 0.04) were significantly higher in the BIA group at the end of the study. Fluid accumulation in the interdialytic period was significantly lower in the clinical group (p = 0.013). Adverse events occurred more often in the BIA group (p = 0.032). The cumulative number of hypovolemic events was significantly higher in the BIA group (p = 0.002).

DISCUSSION

Fluid management by BIA does not lead to a better cardiac outcome (appraised by surrogate markers) than fluid management by careful clinical assessment. Adapting the dry weight according to BIA results increases the risk of adverse events, especially hypovolemic episodes. Careful clinical fluid assessment is important for optimal care of chronic hemodialysis patients.

Quantitative assessment of sodium mass removal using ionic dialysance and sodium gradient as a proxy tool: Comparison of high-flux hemodialysis versus online hemodiafiltration

Restoration and maintenance of sodium are still a matter of concern and remains of critical importance to improve the outcomes in homeostasis of stage 5 chronic kidney disease patients on dialysis. Sodium mass balance and fluid volume control rely on the "dry weight" probing approach consisting mainly of adjusting the ultrafiltration volume and diet restrictions to patient needs. An additional component of sodium and fluid management relies on adjusting the dialysate-plasma sodium concentration gradient. Hypotonicity of ultrafiltrate in online hemodiafiltration (ol-HDF) might represent an additional risk factor in regard to sodium mass balance. A continuous blood-side approach for quantifying sodium mass balance in hemodialysis and ol-HDF using an online ionic dialysance sensor device ("Flux" method) embedded on hemodialysis machine was explored and compared to conventional cross-sectional "Inventory" methods using anthropometric measurement (Watson), multifrequency bioimpedance analysis (MF-BIA), or online clearance monitoring (OCM) to assess the total body water. An additional dialysate-side approach, consisting of the estimation of inlet/outlet sodium mass balance in the dialysate circuit was also performed. Ten stable hemodialysis patients were included in an "ABAB"-designed study comparing high-flux hemodialysis (hf-HD) and ol-HDF. Results are expressed using a patient-centered sign convention as follows: accumulation into the patient leads to a positive balance while recovery in the external environment (dialysate, machine) leads to a negative balance. In the blood-side approach, a slight difference in sodium mass transfer was observed between models with hf-HD (-222.6 [-585.1-61.3], -256.4 [-607.8-43.7], -258.9 [-609.8-41.3], and -258.5 [-607.8-43.5] mmol/session with Flux and Inventory models using V_Watson , V_MF-BIA , and V_OCM values for the volumes of total body water, respectively; global P value < .0001) and ol-HDF modalities (-235.3 [-707.4-128.3], -264.9 [-595.5-50.8], -267.4 [-598.1-44.1], and -266.0 [-595.6-55.6] mmol/session with Flux and Inventory models using V_Watson , V_MF-BIA , and V_OCM values for the volumes of total body water, respectively; global P value < .0001). Cumulative net ionic mass balance on a weekly basis remained virtually similar in hf-HD and ol-HDF using Flux method (P = n.s.). Finally, the comparative quantification of sodium mass balance using blood-side (Ionic Flux) and dialysate-side approaches reported clinically acceptable (a) agreement (with limits of agreement with 95% confidence intervals (CI): -166.2 to 207.2) and (b) correlation (Spearman's rho = 0.806; P < .0001). We validated a new method to quantify sodium mass balance based on ionic mass balance in dialysis patients using embedded ionic dialysance sensor combined with dialysate/plasma sodium concentrations. This method is accurate enough to support caregivers in managing sodium mass balance in dialysis patients. It offers a bridging solution to automated sodium proprietary balancing module of hemodialysis machine in the future.

Fluid and hemodynamic management in hemodialysis patients: challenges and opportunities

Fluid volume and hemodynamic management in hemodialysis patients is an essential component of dialysis adequacy. Restoring salt and water homeostasis in hemodialysis patients has been a permanent quest by nephrologists summarized by the ‘dry weight’ probing approach. Although this clinical approach has been associated with benefits on cardiovascular outcome, it is now challenged by recent studies showing that intensity or aggressiveness to remove fluid during intermittent dialysis is associated with cardiovascular stress and potential organ damage. A more precise approach is required to improve cardiovascular outcome in this high-risk population. Fluid status assessment and monitoring rely on four components: clinical assessment, non-invasive instrumental tools (e.g., US, bioimpedance, blood volume monitoring), cardiac biomarkers (e.g. natriuretic peptides), and algorithm and sodium modeling to estimate mass transfer. Optimal management of fluid and sodium imbalance in dialysis patients consist in adjusting salt and fluid removal by dialysis (ultrafiltration, dialysate sodium) and by restricting salt intake and fluid gain between dialysis sessions. Modern technology using biosensors and feedback control tools embarked on dialysis machine, with sophisticated analytics will provide direct handling of sodium and water in a more precise and personalized way. It is envisaged in the near future that these tools will support physician decision making with high potential of improving cardiovascular outcome.

The effect of BCM guided dry weight assessment on short-term survival in Chinese hemodialysis patients : Primary results of a randomized trial - BOdy COmposition MOnitor (BOCOMO) study

BACKGROUND

Lack of accurate and effective assessment tools of fluid status is one of the major challenges to reach proper dry weight (DW) in chronic hemodialysis (HD) population. The aim of this randomized study was to evaluate the effect of bioimpedance guided DW assessment on long-term outcomes in Chinese HD patients. Eligible patients were randomly assigned (1:1) to two groups in each center, the control group and body composition monitor (BCM) group. In the BCM group, DW has been evaluated by bioimpedance technic every 2 months during follow-up. The primary composite endpoint consisted of death, acute myocardial infarction, cerebral infarction, cerebral hemorrhage, and peripheral vascular disease.

METHODS

A total of 445 patients were recruited from 11 hemodialysis centers from Beijing, Tianjin and Shijiazhuang cities from Jan 1, 2013 to Dec 31, 2014. They were randomized into either BCM group or control group. All patients have been followed up for 1 year or until Dec 31, 2014 or censoring.

RESULTS

At baseline, there were no significant differences between two groups in terms of demographic parameters, dialysis vintage, percentage of vascular access, and comorbid conditions. At the end of the study, 18 (4.04%) patients had died (11 in control group and 7 in BCM group). Kaplan-Meier survival analysis showed no significant difference in survival rates between two groups (log-rank test P = 0.07). However, there was an increasing trend of survival rates in BCM group compared to the control group. In the multivariable Cox analysis, there was a nonsignificant trend toward less primary composite end points in the BCM group in the adjusted analysis, the hazard ratio was impressive (0.487, 95% CI 0.217-1.091, P = 0.08).

CONCLUSION

Bioimpedance technic has been applied to assess fluid status for decades and has been proved to be a promising tool for clinical practice. Although short-term outcomes were not improved in the randomized, controlled trial, the ascending trend in survival has been observed. Further studies are needed to investigate the survival benefit of bioimpedance method in DW assessment in a larger sample with longer follow-up period.

TRIAL REGISTRATION

ClinicalTrials.org, NCT01509937. Registered 13 January 2012.

Sodium and water handling during hemodialysis: new pathophysiologic insights and management approaches for improving outcomes in end-stage kidney disease

Space medicine and new technology such as magnetic resonance imaging of tissue sodium stores (²³NaMRI) have changed our understanding of human sodium homeostasis and pathophysiology. It has become evident that body sodium comprises 3 main components. Two compartments have been traditionally recognized, namely one that is circulating and systemically active via its osmotic action, and one slowly exchangeable pool located in the bones. The third, recently described pool represents sodium stored in skin and muscle interstitium, and it is implicated in cell and biologic activities via local hypertonicity and sodium clearance mechanisms. This in-depth review provides a comprehensive view on the pathophysiology and existing knowledge gaps of systemic hemodynamic and tissue sodium accumulation in dialysis patients. Furthermore, we discuss how the combination of novel technologies to quantitate tissue salt accumulation (e.g., ²³NaMRI) with devices to facilitate the precise attainment of a prescribed hemodialytic sodium mass balance (e.g., sodium and water balancing modules) will improve our therapeutic approach to sodium management in dialysis patients. While prospective studies are required, we think that these new diagnostic and sodium balancing tools will enhance our ability to pursue more personalized therapeutic interventions on sodium and water management, with the eventual goal of improving dialysis patient outcomes.

Are Currently Used Bioimpedance Methods in Hemodialysis Comparable for Calculating Dialysis Dose?

Bioelectrical impedance analysis has increasingly been incorporated into hemodialysis units (HD) as a useful, noninvasive technique for evaluating overall fluid status. The aims of this study were to verify whether the information obtained from two different bioelectrical impedance analysis methods (spectroscopy bioimpedance [BCM] and single-frequency bioelectric impedance vector analysis [SF-BIVA]) was comparable for analyzing fluid status, and to determine their impact when used to calculate dialysis dose. This observational cross-sectional study included 78 HD patients who underwent one measurement with BCM and one with SF-BIVA in the same dialysis session. For calculating the dialysis dose, total body water or urea distribution volume (V) was calculated by the Watson formula and compared with the V obtained from the two devices. The difference in V between the two devices was 5.4 L (P < 0.001). Given the existent correlation between V_BCM and V_SF-BIVA , we were able to apply a formula (corrected V = V_SF-BIVA = 1.04 × V_BCM + 4.85, r = 0.93), allowing comparison of the two bioimpedance methods. The mean dialysis dose for BCM device (Kt_ID /V_BCM ) was 2.49 ± 0.85, much higher than Kt_ID /V_SF-BIVA (2.06 ± 0.72) mainly due to the V obtained with the different devices, with Kt_ID /V_Watson being 2.03 ± 0.67. The results on volume distribution showed an acceptable correlation but the devices were not comparable due to intermethod differences observed. Dialysis centers using SF-BIVA will obtain much lower dialysis dose, but by applying our formula, the Kt/V would resemble that obtained by the BCM device.

Patients' perceptions of their experience, control and knowledge of fluid management when receiving haemodialysis

BACKGROUND

Person-centred care is increasingly promoted, empowering patients to become more involved in their treatment rather than being passive recipients of care (Barnes et al. 2013). Haemodialysis is typically required three times a week, with fluid management decision-making occurring at each treatment session (Ahmed et al. 2017). However, no research has yet explored how haemodialysis patients' perceptions of their fluid management may impact upon this decision-making.

OBJECTIVES

This study sought to explore patients' perceptions of their fluid management.

METHOD

DESIGN, PARTICIPANTS & APPROACH: Semi-structured interviews were conducted with 12 patients undergoing in-hospital haemodialysis treatment. These were digitally recorded one-to-one interviews to allow for verbatim transcription. The data was analysed by thematic analysis, generating thematic patterns across patients' experiences, control and knowledge of their fluid management.

RESULTS

Five themes were produced: determining who has the expertise, impediments affecting patients' lifestyle, additional difficulty of experiencing comorbidities, perceived quality of care, and establishing consistency.

CONCLUSIONS

Despite varied levels of patient participation in their treatment, overall there appears to be a limited understanding of specific areas of fluid management. The implications for further research and the development of shared-care are discussed.

Recording patient bodyweight in hospitals: are we doing well enough?

Recording patient weight is a standard practice for all hospital admissions, with this measurement influencing other daily practices that rely on the delivery of safe and effective patient care. Patient weight is important in the areas of medication prescribing, fluid balance and assessment of nutrition. In particular, prescribing narrow therapeutic index medications may result in significant harm as a potential consequence of inaccurate dosing. Despite its importance, it is evident that bodyweight measurements are recorded in only 13.5-55% of hospital patients, in a variety of settings including the emergency department, intensive care unit, medical and surgical wards. Barriers to compliance of healthcare staff include additional workload, patient handling and availability of appropriate weighing equipment. Hospitals and patients would benefit from enhancing compliance with the systematic weighing of patients, staff training and removing barriers to performing this task.

Impact of use of angiotensin II receptor blocker on all-cause mortality in hemodialysis patients: prospective cohort study using a propensity-score analysis

BACKGROUND

It is controversial whether treatment with an angiotensin II receptor blocker (ARB) or a calcium channel blocker (CCB) improves prognosis of hemodialysis (HD) patients.

METHODS

This study was designed as a multicenter prospective cohort study. HD patients (n = 1071) were enrolled from 22 institutes in January 2009 and followed up for 3 years. Patients with missing data, kidney transplantation or retraction of consent during the follow-up period (n = 204) were excluded, and 867 patients contributed to analysis of mortality. Propensity score (PS) for use of ARB and that for CCB was calculated using a multiple logistic regression model.

RESULTS

ARB and CCB were prescribed in 45.6 and 54.7 % of patients at enrollment. During the 3-year follow-up period, all-cause mortality and cardiovascular mortality rates were 18.8 and 5.1 %, respectively. Kaplan-Meier curves showed that all-cause and cardiovascular mortality rates were lower in the ARB group than in the non-ARB group, though the mortality rates were similar in the CCB group and non-CCB group. In PS-stratified Cox regression analysis, ARB treatment was associated with 34 and 45 % reduction of all-cause death and cardiovascular death, respectively. In PS matching analysis, ARB treatment was associated with a significant reduction (46 % reduction) in the risk of all-cause death. A significant impact of CCB treatment on all-cause or cardiovascular mortality was not detected in PS analysis.

CONCLUSIONS

The use of an ARB, but not a CCB, is associated with reduced all-cause and cardiovascular mortalities in patients on HD.

Comparison of bioimpedance and clinical methods for dry weight prediction in maintenance hemodialysis patients

BACKGROUND

Bioelectrical impedance analysis (BIA) is a promising technique to evaluate dry weight. We compared the dry weight calculated by the three BIA equations Carlo Basile (CB) , Yanna Dou (YD) and the body composition spectroscopy (BCS) with clinical evaluation in maintenance hemodialysis (MHD) patients.

METHODS

The dry weight of enrolled MHD patients (DWClin) was evaluated under strict clinical surveillance. The whole-body resistances at 50 kHz, intra- and extracellular resistances were measured to calculate the dry weight (DWCB, DWYD and DWBCS) using each of the three equations.

RESULTS

Neither DWCB nor DWBCS were statistically different compared to DWClin (DWCB 63.2 ± 17.2 vs. 63.1 ± 16.1 kg; DWBCS 62.8 ± 16.8 vs. 63.1 ± 16.1 kg, p > 0.05). DWYD was significantly lower than DWClin (DWYD 62.0 ± 16.1 vs. 63.1 ± 16.1 kg, p < 0.05). The bias between DWCB and DWClin was the smallest among these three methods (ΔDWCB -0.1 ± 1.4 kg; ΔDWYD 1.1 ± 2.9 kg; ΔDWBCS 0.3 ± 1.8 kg).

CONCLUSION

The CB equations have better consistency with clinical dry weight in MHD patients.

Bioimpedance-guided fluid management in hemodialysis patients

BACKGROUND AND OBJECTIVES

Achieving and maintaining optimal fluid status remains a major challenge in hemodialysis therapy. The aim of this interventional study was to assess the feasibility and clinical consequences of active fluid management guided by bioimpedance spectroscopy in chronic hemodialysis patients.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

Fluid status was optimized prospectively in 55 chronic hemodialysis patients over 3 months (November 2011 to February 2012). Predialysis fluid overload was measured weekly using the Fresenius Body Composition Monitor. Time-averaged fluid overload was calculated as the average between pre- and postdialysis fluid overload. The study aimed to bring the time-averaged fluid overload of all patients into a target range of 0.5 ± 0.75 L within the first month and maintain optimal fluid status until study end. Postweight was adjusted weekly according to a predefined protocol.

RESULTS

Time-averaged fluid overload in the complete study cohort was 0.9 ± 1.6 L at baseline and 0.6 ± 1.1 L at study end. Time-averaged fluid overload decreased by -1.20 ± 1.32 L (P<0.01) in the fluid-overloaded group (n=17), remained unchanged in the normovolemic group (n=26, P=0.59), and increased by 0.59 ± 0.76 L (P=0.02) in the dehydrated group (n=12). Every 1 L change in fluid overload was accompanied by a 9.9 mmHg/L change in predialysis systolic BP (r=0.55, P<0.001). At study end, 76% of all patients were either on time-averaged fluid overload target or at least closer to target than at study start. The number of intradialytic symptoms did not change significantly in any of the subgroups.

CONCLUSIONS

Active fluid management guided by bioimpedance spectroscopy was associated with an improvement in overall fluid status and BP.

Magnitude of end-dialysis overweight is associated with all-cause and cardiovascular mortality: a 3-year prospective study

BACKGROUND

We hypothesized that the difference between the prescribed end-dialysis body weight, defined end-dialysis over-weight (edOW; kg), and the body weight which is actually attained could impact survival in hemodialysis (HD) patients. The aim of this prospective observational study was to evaluate if edOW could influence survival in a cohort of prevalent HD patients, controlled for multiple dialysis and clinical risk factors and followed for 3 years.

METHODS

One hundred and eighty-two patients (117 men, age 65 ± 13 years) on regular HD treatment for at least 6 months [median 48 months (range: 6-366)] were followed from January 1, 2008 to December 31, 2010. Eighty-four patients (46%) did not achieve their prescribed dry body weight (dBW); their median edOW was 0.4 kg (range: 0.1-1.4). Ninety-eight died during observation, mainly from cardiovascular reasons (69%). Multivariate Cox regression analysis was utilized to evaluate the effect edOW, ultrafiltration rate (UFR), interdialytic weight gain (IDWG), age, sex, dialytic vintage, cardiovascular disease, antihypertensive therapy, diabetes, duration of HD, dBW, BMI, mean arterial blood pressure, Kt/V, and protein catabolic rate (PCRn) had on mortality.

RESULTS

Age (HR: 1.04; CI: 1.03-1.05; p <0.0001), IDWG (HR: 2.62; CI: 2.06-3.34; p < 0.01), UFR (HR: 1.13; CI: 1.09-1.16; p< 0.01), PCRn (HR: 0.02; CI: 0.01-0.04; p <0.001), and edOW (HR: 2.71; CI: 1.95-3.75; p < 0.02) were independently correlated to survival. The relative receiver operating characteristic curve identified a cutoff value of 0.3 kg for edOW in predicting death.

CONCLUSIONS

High edOW is independently associated with an increased long-term risk of all-cause and cardiovascular mortality in HD patients. Better survival was observed in patients with edOW <0.3 kg. For patients with higher edOW, longer or more frequent dialysis sessions should be considered in order to prevent the deleterious consequences of excessive body fluid expansion.

Retinoblastoma: from disease to discovery

Retinoblastoma has contributed much to the understanding of cancer. It provided the classic 'two-hit model' for oncogenesis and helped to identify the first tumor suppressor gene RB1. Thirty years since then, the search for additional events underlying disease progression continues. Phenotypic variations in retinoblastoma offer numerous clues to disease pathogenesis. Understanding their molecular biological basis will provide insight into mechanisms underlying tumor progression. These not fully understood genetic and stochastic events play a major role in uncontrolled retinal precursor cell proliferation. Comparative genomic hybridization and gene expression studies have facilitated probing of genes controlling basic events in cellular development, i.e. proliferation, differentiation and apoptosis. Research to determine the cell of origin that underlies the evolution of retinoblastoma can lead to understanding of the stochastic events underlying the genesis of this cancer, which currently remains unclear. In this review, we discuss the recent developments in retinoblastoma and describe how they are beginning to shape a new and revised picture of retinoblastoma pathogenesis and progression.