Epidemiological analysis of death among patients on maintenance hemodialysis: results from the beijing blood purification quality Control and Improvement Center

Heterogeneous afferent arteriolopathy: a key concept for understanding blood pressure-dependent renal damage

Hypertension, aging, and other factors are associated with arteriosclerosis and arteriolosclerosis, primary morphological features of nephrosclerosis. Although such pathological changes are not invariably linked with renal decline but are prevalent across chronic kidney disease (CKD), understanding kidney damage progression is more pragmatic than precisely diagnosing nephrosclerosis itself. Hyalinosis and medial thickening of the afferent arteriole, along with intimal thickening of small arteries, can disrupt the autoregulatory system, jeopardizing glomerular perfusion pressure given systemic blood pressure (BP) fluctuations. Consequently, such vascular lesions cause glomerular damage by inducing glomerular hypertension and ischemia at the single nephron level. Thus, the interaction between systemic BP and afferent arteriolopathy markedly influences BP-dependent renal damage progression in nephrosclerosis. Both dilated and narrowed types of afferent arteriolopathy coexist throughout the kidney, with varying proportions among patients. Therefore, optimizing antihypertensive therapy to target either glomerular hypertension or ischemia is imperative. In recent years, clinical trials have indicated that combining renin-angiotensin system inhibitors (RASis) and sodium-glucose transporter 2 inhibitors (SGLT2is) is superior to using RASis alone in slowing renal function decline, despite comparable reductions in albuminuria. The superior efficacy of SGLT2is may arise from their beneficial effects on both glomerular hypertension and renal ischemia. A comprehensive understanding of the interaction between systemic BP and heterogeneous afferent arteriolopathy is pivotal for optimizing therapy and mitigating renal decline in patients with CKD of any etiology. Therefore, in this comprehensive review, we explore the role of afferent arteriolopathy in BP-dependent renal damage.

Chest X-ray Findings and Prognostic Factors in Survival Analysis in Peritoneal Dialysis and Hemodialysis Patients: A Retrospective Cross-Sectional Study

Background and Objectives: This study aims to analyze survival in peritoneal and hemodialysis patients using chest radiography and biochemical parameters, determine common dialysis etiologies and causes of death, reveal prognostic factors, and contribute to clinical practice. Materials and Methods: A retrospective cross-sectional study was conducted with data from 33 peritoneal dialysis and 37 hemodialysis patients collected between October 2018 and February 2020. Survival and mortality were retrospectively tracked over 70 months (October 2018-June 2024). Chest X-ray measurements (cardiothoracic index, pulmonary vascular pedicle width, right pulmonary artery diameter, diaphragmatic height) and biochemical parameters (urea, albumin, creatinine, parathormone, ferritin, hemoglobin, arterial blood gas, potassium) were analyzed for their impact on survival. Statistical analyses included descriptive statistics, chi-square test, Fisher's exact test, Bayesian analysis, McNemar test, Kaplan-Meier survival analysis, Cox regression, Bayesian correlation test, linear regression analysis (scatter plot), and ROC analysis. SPSS 20.0 was used for data analysis, with p < 0.05 considered statistically significant. Results: Hypertension, type 2 diabetes, and urogenital disorders were the main dialysis etiologies. Peritonitis (38.5%) and cardiovascular diseases (47.4%) were the leading causes of death in peritoneal and hemodialysis patients, respectively. Significant chest X-ray differences included pulmonary vascular pedicle width and pulmonary artery diameter in hemodialysis and diaphragm height in peritoneal dialysis. Kaplan-Meier showed no survival difference between methods. Cox regression identified age, intact parathormone levels, iPTH/PVPW ratio, and clinical status as survival and mortality factors. The iPTH/PVPW ratio cut-off for mortality prediction was ≤6.8. Conclusions: Age, intact parathormone levels, pulmonary vascular pedicle width, and clinical status significantly impact survival in dialysis patients. Management of hypertension and diabetes, management and follow-up of urogenital disorders, infection control, patient education, and regular cardiovascular check-ups may improve survival rates. Additionally, the iPTH/PVPW ratio can predict mortality risk.

Serum HDL-C subfractions as predictors of cardiovascular calcification in hemodialysis patients: novel insights and clinical implications

Objective

This study aims to explore the relationship between cardiovascular calcification (CVC) and serum levels of high-density lipoprotein cholesterol (HDL-C) and its subfractions in hemodialysis (HD) patients.

Methods

HD patients and healthy participants were recruited based on specific inclusion and exclusion criteria. Various blood indicators were measured, and demographic information was recorded. HDL-C particle levels were quantified using lipophilic fluorescent dye staining and capillary electrophoresis (microfluidic platform). Coronary artery calcium scores and valve calcification were used to classify HD patients into calcification and non-calcification groups.

Results

Compared to healthy participants, HD patients showed a significant increase in HDL-C, high-density lipoprotein 2 cholesterol (HDL2-C), and high-density lipoprotein 3 cholesterol (HDL3-C) levels (p < 0.001). Further division of HD patients into calcification and non-calcification groups revealed higher serum HDL3-C concentrations (p = 0.002) and a higher HDL3-C/HDL-C ratio (p = 0.04) in the calcification group. Additionally, elevated HDL3-C levels were found to be an independent risk factor for CVC in HD patients (p = 0.040). The ROC curve analysis showed an AUC value of 0.706 for HDL3-C (p = 0.002).

Conclusion

Our study indicates that elevated serum HDL3-C levels in HD patients are an independent risk factor for CVC and can serve as a potential predictor for CVC events. However, more studies need to verify its potential as a predictive indicator..

Association of serum resolvin D1 with the risk of major adverse cardiovascular events in hemodialysis patients

PURPOSE

Resolvin D1 (RvD1) inhibits inflammation, reduces oxidative stress, and forecasts the risk of cardiovascular events, but relevant evidence in hemodialysis patients is lacking. This study intended to investigate the predictive value of RvD1 for major adverse cardiovascular events (MACE) risk in hemodialysis patients.

METHODS

Totally, 252 patients who underwent hemodialysis were included. Serum RvD1 was measured by enzyme-linked immunosorbent assay. Patients were followed up with a median of 12.1 months. MACE was recorded during the follow-up period.

RESULTS

RvD1 was inversely correlated with diabetes history (P = 0.002), cardiac troponin T (TnT) (P = 0.029), and high sensitivity C-reactive protein (hsCRP) (P < 0.001) in hemodialysis patients. 25 hemodialysis patients experienced MACE. RvD1 was reduced in hemodialysis patients with MACE versus those without MACE (P = 0.004). RvD1 exhibited a certain value in forecasting MACE risk, with an area under curve (AUC) of 0.675 [95% confidence interval CI: 0.565-0.786]. Increased RvD1 cut by median (P = 0.043) and cut by quartile (P = 0.042) were related to decreased accumulating MACE in hemodialysis patients. Moreover, RvD1 independently predicted declined MACE risk [odds ratio (OR) = 0.644, P = 0.045], but age (OR = 1.048, P = 0.039) and TnT (OR = 1.006, P = 0.005) independently predicted ascended MACE risk in hemodialysis patients. The combination of these independent factors displayed a good value for estimating MACE risk in hemodialysis patients with an AUC of 0.744 (95% CI: 0.640-0.849).

CONCLUSION

Serum RvD1 is inversely correlated with diabetes history, TnT, and hsCRP in hemodialysis patients. More importantly, it could serve as a potential marker to predict MACE risk in these patients.

Predictors of Mortality Among Hemodialysis Patients at Al-Thora General Hospital, Ibb Governate, Yemen: A Retrospective Study

BACKGROUND

In addition to the global rise in the use of hemodialysis (HD) for end-stage renal disease, individuals receiving maintenance HD continue to have higher mortality rates than the general population. The mortality rates among HD patients in Yemen have not been studied because of the lack of a national registry system, and the impact of the disease on the country is yet to be evaluated. Our study aimed to assess the clinical characteristics and factors associated with mortality among patients with HD in a resource-limited setting.

MATERIALS AND METHODS

This retrospective study involved 4194 HD patients at the Nephrology Center of Al-Thora General Hospital, Ibb Governate, Yemen, between March 2014 and September 2023. Data on HD patients' demographic characteristics, risk factors, and comorbidities were gathered and analyzed. The Kaplan-Meier and log-rank tests were used to evaluate and compare survival curves, and the proportional Cox hazard model was used to investigate the factors associated with mortality.

RESULT

The mean age was 49.2 ± 16.5 years. The majority of cases were male (n= 2604, 62.1%) and from rural areas (3386, 80.7%), with 1226 (29.2%) living outside Ibb Governorate. Hepatitis C and B viruses were positive in 466 (11.1%) and 312 (7.4%) patients. The main comorbidity was hypertension (n= 3152, 75.2%), followed by diabetes mellitus (DM) (n= 1375, 32.8%). Five hundred and forty-eight patients died during the study period between 2017 and 2023, with an estimated mortality rate of 13.1%. The survival rates at 12, 24, 36, 48, and 60 months of follow-up were approximately 97.4%, 93.3%, 91.7%, 86.0%, and 74.6%, respectively. Predictive factors for mortality among HD patients in the Cox regression model were age >65 years (HR:1.41; 95 % CI: 1.15-1.74, p<0.001), cardiovascular disease (HR: 7.28; 95 % CI: 2.68-19.81, p<0.001), coming from other cities (HR: 1.32; 95% CI: 1.11-1.59, p= 0.002), DM (HR: 1.58; 95% CI: 1.23-2.01, p <0.001), and cerebral vascular accidents (HR:1.57; 95 % CI: 1.13-2.18, p= 0.007).

CONCLUSION

 Instead of a higher mortality rate in this study, coming from other cities, DM, cardiovascular disease, cerebral vascular accidents, and age >65 years were predictive factors for mortality in HD patients. The study underlines the necessity of planning new HD facilities, avoiding and treating comorbidities, managing them early to decrease mortality, and educating regional administrative decision-makers on effective implementation techniques.

Cardiovascular Events and Mortality in Patients on Hemodialysis: The Prognostic Value of the CHA2DS2-VASc Score

Background and Objectives: Cardiovascular events are the major cause of morbidity and mortality in patients on hemodialysis (HD). Identifying risk factors can help in the effort to reduce cardiovascular risk and improve life expectancy. The objective of this study was to evaluate the ability of the CHA2DS2-VASc score-the risk index of stroke in atrial fibrillation (AF)-to predict strokes, major cardiovascular events, and mortality in patients with end-stage kidney disease. Materials and Methods: The CHA2DS2-VASc and HAS-BLED scores (the bleeding risk from the use of anticoagulation in AF) were calculated in 237 HD patients, 99 women with a median age of 76 (15) years, at the time they commenced HD. The scores' ability to predict long term cardiovascular morbidity and mortality was estimated, both in those with and without AF. Among the exclusion criteria were the change of dialysis method or loss of follow-up, HD due to acute renal failure, and incompliance with medical instructions, thus the sample is not representative of a broader population. Results: The CHA2DS2-VASc score was higher in AF (n = 69) compared to non-AF (n = 168) patients, 5 (2.5) vs. 4 (2), p < 0.0001, respectively. An increased CHA2DS2-VASc score was correlated with cardiovascular events, namely, heart failure (p = 0.007, p = 0.024), stroke (p < 0.0001, p < 0.0001), and risk of all-cause mortality (p < 0.0001, p < 0.0001) in AF and non-AF groups, respectively. The C statistics indicated that the referred score showed modest discrimination in AF and non-AF patients on HD for heart failure, stroke, and all-cause mortality, however for cardiovascular mortality this was found only in the AF group. Conclusions: An increased CHA2DS2-VASc score at the time of HD initiation can predict strokes, heart failure, and all-cause mortality in HD patients independent of the presence of AF. The risk of cardiovascular mortality could only be predicted in patients with AF.