All-cause Mortality In Hemodialysis Patients Research Articles

The association of home blood pressure with all-cause mortality in hemodialysis patients: A prospective observational study.

Prior observational studies conducted in the hemodialysis population have suggested a reverse association between dialysis-unit blood pressure (BP) and mortality. The present study aimed to investigate the prognostic association of home versus dialysis-unit BP with all-cause mortality in hemodialysis patients. At baseline, 146 patients receiving maintenance hemodialysis underwent assessment of their BP with the following methods: (i) 2-week averaged routine predialysis and postdialysis BP measurements; (ii) home BP monitoring for 1 week that included duplicate morning and evening BP measurements with the use of validated devices. Over a median follow-up period of 38 months (interquartile range [IQR]: 22-54), 44 patients (31.1%) died. In Kaplan-Meier curves, predialysis and postdialysis systolic BP (SBP) was not associated with all-cause mortality, while home SBP appeared to be of prognostic significance (log rank p = 0.029). After stratifying patients into quartiles, all-cause mortality was lowest when home SBP was ranging from 128.1 to 136.8 mmHg (quartile 2). In univariate Cox regression analysis, using quartile 2 as a referent category, the risk of all-cause mortality was 3.32-fold higher in quartile 1, 1.53-fold higher in quartile 3 and 3.25-fold higher in quartile 4. The risk-association remained unchanged after adjustment for several confounding factors (adjusted hazard ratio: 4.79, 1.79, 3.63 for quartiles 1, 3, and 4 of home systolic BP, respectively). Our findings suggest that among hemodialysis patients, 1-week averaged home SBP is independently associated with all-cause mortality. In sharp contrast, SBP recorded either before or after dialysis over 2 weeks is not prognostically informative.

Proprotein convertase subtilisin/kexin type 9 (PCSK9) and clinical outcomes in dialysis patients.

Proprotein convertase subtilisin/kexin type 9 (PCSK9), a factor accelerating the degradation of LDL receptors, was associated with a gender-dependent risk for cardiovascular (CV) events in the general population and with all-cause and CV mortality in two relatively small studies in black Africans and South Korean haemodialysis patients. The effect modification by gender was untested in these studies. The study enrolled 1188 dialysis patients from the Prospective Registry of The Working Group of Epidemiology of Dialysis Region Calabria (PROGREDIRE) cohort. PCSK9 was measured by colorimetric enzyme-linked immunosorbent assay. The primary outcomes were all-cause and CV mortality. Statistical analysis included Cox regression analysis and effect modification analysis. During a median 2.9-year follow-up, out of 494 deaths, 278 were CV-related. In unadjusted analyses, PCSK9 levels correlated with increased all-cause (HRfor1ln unit increase: 1.23, 95% CI 1.06-1.43, p =.008) and CV mortality (HRfor1ln unit increase: 1.26, 95% CI 1.03-1.54, p =.03). After multivariate adjustment, these associations were no longer significant (all-cause mortality, HRfor 1 ln unit increase: 1.16, 95% CI .99-1.36, p =.07; CV mortality, HRfor1ln unit increase: 1.18, 95% CI .95-1.46, p =.14). However, in fully adjusted interaction analyses, a doubling in the risk of this outcome in women was registered (Women, HRfor1ln unit increase: 1.88, 95% CI 1.27-2.78, p =.002; Men, HRfor1ln unit increase: 1.07, 95% CI .83-1.38, p =.61; p for effect modification: .02). PCSK9 levels are unrelated to all-cause mortality in haemodialysis patients but, like in studies of the general population, independently of other risk factors, entail a doubling in the risk of CV events in women in this population.

Metabolically Abnormal Non-Obese Phenotype Is Significantly Associated with All-Cause Mortality in Hemodialysis Patients.

The association between obesity and all-cause mortality in patients undergoing kidney failure with replacement therapy (KFRT) has shown conflicting results. This study aimed to evaluate whether metabolic abnormalities (MA) increase the risk of all-cause mortality in these patients. Between 2009 and 2015, 1141 patients undergoing KFRT were recruited from the Clinical Research Center for End-Stage Renal Disease dataset. Patients were divided into four groups according to the presence of obesity and MA. Multivariate Cox proportional hazard analysis was performed to determine the association between the phenotypes and all-cause mortality. During a mean follow-up of 4.2 years, all-cause mortality was observed in 491 (43.0%) patients. Obesity had a 24% decreased risk of all-cause mortality compared with non-obesity. In contrast, the presence of MA showed a 1.53-fold increased risk of all-cause mortality. There was a significant interaction between obesity and MA (p = 0.006). In Cox proportional hazard analyses after adjustment of confounding factors, the metabolically abnormal non-obesity (MANO) phenotype showed a 1.63-fold increased risk of all-cause mortality compared with the metabolically healthy non-obesity phenotype. In subgroup analysis, the risk of all-cause mortality was higher in the MANO phenotype; this phenotype was significantly associated with a higher all-cause mortality in patients undergoing KFRT.

Endocan as a Potential Marker for Predicting All-Cause Mortality in Hemodialysis Patients

Endocan, a pro-inflammatory cytokine and pro-angiogenic factor, is a marker of endothelial dysfunction and has been proven to correlate with cardiovascular disease. In hemodialysis (HD) patients, cardiovascular disease is the major cause of mortality. Our study aimed to investigate the relationship between serum endocan and all causes of mortality in HD patients. A total of 103 patients, aged over 20 years old and undergoing HD for more than 3 months, were included and followed for 36 months. Mortality events, serum endocan, biochemical data, body mass index, systolic and diastolic blood pressure, baseline characteristics, and the use of antihypertensive and lipid-lowering drugs were recorded. In our study, a total of 26 deaths (25.2%) occurred. Hemodialysis patients with diabetes mellitus, older age, higher serum endocan, and lower creatinine and albumin levels had a higher risk of mortality. Adjusting for prognostic variables, HD patients with higher serum endocan (p = 0.010) and lower serum creatinine (p = 0.034) demonstrated significantly higher all-cause mortality. In our study, increased endocan and lower creatinine are associated with all-cause mortality in HD patients. Serum endocan levels could serve as a biomarker for a high mortality risk in HD patients.

Physical Activity, Body Composition, Serum Myokines and the Risk of Death in Hemodialysis Patients.

Background and Objectives: The aim of this study was to assess the relationship between habitual physical activity, body composition, serum myokine concentration, and all-cause mortality in chronic hemodialysis patients. Materials and Methods: A prospective cohort study with a 7-year follow-up was conducted in a group of 38 patients (24 men, 14 women, mean age 65.6 ± 13.9 years, dialysis vintage 1.17 ± 1.25 years). Baseline serum concentrations of myokines-follistatin and myostatin-were assessed along with a measurement of physical activity with multidimensional accelerometery, body composition, and the force of forearm muscle contraction. Survival analysis was performed using the Kaplan-Meier method for tertiles of follistatin, serum myostatin, body composition, and physical activity expressed in metabolic equivalents (MET). Results: The mean physical activity among patients was 81 min/24 h (median 38.5 min), and the mean weekly 3MET activity was 493 min (median 218 min). The probability of survival of patients was significantly lower in the subgroup with 3MET/24 h less than 26 min/24 h and 3METt less than 148 min per week compared to the other subgroup (p = 0.006 and p = 0.006, respectively). During the 70-month follow-up, the subgroup with the lowest baseline follistatin concentration showed a significantly lower risk of death (p = 0.02). Baseline myostatin levels were not significant risk factors for mortality, nor were BMI or lean and fat tissue index categories. Conclusions: Physical activity and low plasma follistatin, but not body composition indexes or plasma myostatin, could serve as predictors of all-cause mortality in hemodialysis patients.

Effect of renin-angiotensin system inhibitors on cardiovascular events in hemodialysis patients with hyperphosphatemia: A post hoc analysis of the LANDMARK trial.

The clinical benefits of renin-angiotensin system inhibitors (RASi) in patients undergoing hemodialysis remain obscure. This is a post hoc cohort analysis of the LANDMARK trial investigate whether RASi use was associated with cardiovascular events (CVEs) and all-cause mortality. A total of 2135 patients at risk for vascular calcification were analyzed using a Cox proportional hazards model with propensity-score matching. The risk of CVEs was similar between participants with RASi use at baseline and those without RASi use at baseline and between participants with RASi use during the study period and those without RASi use during the study period. No clinical benefits of RASi use on all-cause mortality were observed. Serum phosphate levels were significantly associated with the effect of RASi on CVEs. RASi use was not significantly associated with a lower risk of CVEs or all-cause mortality in hemodialysis patients at risk of vascular calcification.

Abdominal obesity in Chinese patients undergoing hemodialysis and its association with all-cause mortality.

Obesity in patients undergoing hemodialysis is common. However, there is limited information on the relationship between obesity types defined by the combined body mass index (BMI) and waist circumference (WC) classification criteria and all-cause mortality in Chinese hemodialysis patients. Our objective was to determine the association between obesity types and all-cause mortality in hemodialysis patients. We conducted a prospective cohort study including patients from 11 hemodialysis centers in Beijing. According to the World Health Organization's standards, patients were classified into 2 categories with WC and 4 categories with BMI and then followed up for 1 year. Kaplan-Meier survival analysis was used to compare the difference in the cumulative survival rate in different BMI and WC groups. A multivariate Cox regression analysis was used to determine the association between different types of obesity and all-cause mortality. A total of 613 patients were enrolled, the mean age was 63.8 ± 7.1 years old, and 42.1% were women. Based on the baseline BMI, there were 303 (49.4%) patients with normal weight, 227 (37.0%) with overweight, 37(6.0%) with obesity, and 46 (7.5%) with underweight. Based on the baseline WC, 346 (56.4%) patients had abdominal obesity. During a median follow-up of 52 weeks, 69 deaths occurred. Kaplan-Meier plots demonstrated a significant association of BMI categories (log-rank χ2 = 18.574, p<0.001) and WC categories (log-rank χ2 = 5.698, p=0.017) with all-cause death. With normal BMI and non-abdominal obesity as a reference, multivariate Cox regression analysis results showed that obesity (HR 5.36, 95% CI, 2.09-13.76, p<0.001), underweight (HR, 5.29, 95% CI, 2.32-12.07, p<0.001), normal weight combined with abdominal obesity (HR 2.61, 95% CI, 1.20-5.66, p=0.016), and overweight combined with abdominal obesity (HR 1.79, 95% CI, 1.03-3.73, p=0.031, respectively) were significantly associated with higher risks of all-cause mortality. Our study indicated that abdominal obesity is common and associated with all-cause mortality among Chinese hemodialysis patients.

Neutrophil-Lymphocyte Ratio as Predictor of Mortality in Regular Hemodialysis Patients at Tabanan General Hospital

The risk of mortality in chronic kidney disease (CKD) patients is higher than in normal population. Inflammation has an important role in the high mortality in CKD patients undergoing hemodialysis (HD). The neutrophil lymphocyte ratio (NLR) is a simple parameter and has been widely associated with poor outcomes in HD patients but has not been widely implemented in Indonesia, especially in Bali. This research prospectively analyzed survival of 186 patients aged 18-90 years undergoing regular HD 2x/week for at least 3 months. NLR was calculated by dividing the absolute number of neutrophils and lymphocytes. The Survival test was performed by the Kaplan-Meier method and compared with the log-rank test. Univariate and multivariate tests were performed to assess the prognostic impact of NLR and other clinical factors on all-cause mortality in HD patients. Mortality was found higher in the group with high NLR values (p-value 0.003). High NLR was significantly associatedwith all-causemortality (HR 3.206; 95% CI 1.467 – 7.004; p value 0.003) and remained an independent factor on mortality in routine HD patients after adjustment toothervariables(aHR 2.696, 95% CI 1.176 –6.182, p-value: 0.019). Inconclusion, HighNLR is independently associated with all-cause mortality in CKD patients undergoing regular HD. NLR can be used as an inflammation marker that is considered easy and affordable and can be used to help determine populations that require special attention in order to reduce the mortality of patients with HD.

#6715 COGNITIVE IMPAIRMENT IS ASSOCIATED WITH INCREASED MORTALITY IN HEMODIALYSIS PATIENTS

Abstract Background and Aims Patients on dialysis are at substantially higher risk for developing cognitive impairment compared with the general population. At the same time cognitive impairment is a strong and independent risk factor for all-cause mortality. Given that the approaches used to access the prevalence of cognitive disfunction widely vary in different patient populations, their true burden in hemodialysis patients remains poorly understood. The aim of our study was to determine the association between cognitive impairment and overall survival and mortality in patients undergoing hemodialysis treatment. Method A total of 69 chronic hemodialysis patients (47 men and 22 women) were included. The median age of patients was 61 [47-69] years. The median duration of hemodialysis treatment was 32 [21-72] months. The study of cognitive status was conducted using the Montreal Cognitive Assessment (MoCA) questionnaire. The test results are between 0 and 30 points. A score of 26 points or more is considered the norm, less than 26 indicates the presence of cognitive impairment. The end point was a fatal outcome from acute pathology or progression of a chronic disease. The analysis of survival and mortality was evaluated using survival tables, the construction of Kaplan-Mayer curves with the Mantel-Cox log–rank criterion. The risks of the influence of cognitive impairment on mortality were assessed using Cox regression. Results During the 24-month follow-up period, 23 patients died. Structure of mortality over the observation period: acute coronary syndrome – 6 (26 %), COVID-19 – 6 (26 %), acute cerebrovascular accident – 2 (9%), thromboembolic complications – 3 (13%), another causes – 6 (26 %). In patients with cognitive impairment on hemodialysis, the average survival value was 16.33 months ± 1.70 months [CI 95% 12.99-19.66] and 20.48 months±1.32 months [CI 95% 17.88-23.07] in patients without cognitive impairment. According to the Mantel-Cox log-rank criterion, there was a statistically significant decrease in overall survival in patients with cognitive impairment, P = .02. The mortality rate of dialysis patients with cognitive impairment was 51%, without cognitive impairment – 19%. Relative risk of death in the group of patients with cognitive impairment using Cox regression: Hazard ratio (HR) :2.90 [95% CI 1.11-7.37, P = .03]. Conclusion Our results support the notion that cognitive impairment may be an independent predictor of all-cause mortality in hemodialysis patients. There are limitations on the sample size of patients in our study. Further larger-scale observations a large cohort of patients are required.

The prognostic value of CHA2 DS2 -VASc and modified-CHADS2 scores for cardiovascular events in diabetics and non-diabetics haemodialysis patients.

CHA2 DS2 -VASc and modified-CHADS2 score can easily estimate the risk of stroke in atrial fibrillation. Study's purpose was to evaluate these in haemodialysis patients, and assess the effect of diabetes mellitus (DM). The scores calculated in 237 haemodialysis patients, 121 diabetics (58 females) and 116 non-diabetics (41 females). Results correlated to cardiovascular events (acute myocardial infarction, atrial fibrillation, heart failure, peripheral arterial disease, stroke, mortality). CHA2 DS2 -VASc score correlated with the occurrence of stroke and heart failure (p < .01, p < .01), (p < .01, p < .01), respectively in diabetics and non-diabetics. CHA2 DS2 -VASc score could predict the risk of all-cause mortality in both groups, p = .03, p < .01, respectively, however, the risk of cardiovascular death could be predicted in non-diabetics, p < .01. Modified-CHADS2 score associated with heart failure (p = .04), cardiovascular (p < .01) and all-cause mortality (p < .01) only on non-diabetics. C statistics indicated that the first score showed modest discrimination in patients with and without DM, for stroke and all-cause mortality. The second score performed modestly only on patients without DM for all-cause mortality. Both scores showed poor calibration. Stroke was a common cause of cardiovascular death (OR = 3.52, 95% CI = 1.92-6.47, p < .01) and associated with central venous catheter (OR = 2.19, 95% CI = 1.12-4.27, p = .02) and pre-existing atrial fibrillation (OR = 1.94, 95% CI = 1.06-3.58, p = .03). CHA2 DS2 -VASc score correlated with stroke, heart failure and all-cause mortality in haemodialysis patients with and without DM. The risk of cardiovascular death could be predicted only in non-diabetics patients. Modified-CHADS2 score correlated with heart failure, cardiovascular and all-cause mortality only on non-diabetics. Both had modest discrimination and poor calibration.

The number of valvular insufficiency is a strong predictor of cardiovascular and all-cause mortality in hemodialysis patients.

To investigate the relationship between the number of valvular insufficiency (VI) and emergency hospitalization or mortality in maintenance hemodialysis (HD) patients. The maintenance HD patients with cardiac ultrasonography were included. According to the number of VI ≥ 2 or not, the patients were divided into two groups. The difference of emergency hospitalized for acute heart failure, arrhythmia, acute coronary syndrome (ACS) or stroke, cardiovascular mortality, and all-cause mortality between the two groups were compared. Among 217 maintenance HD patients, 81.57% had VI. 121 (55.76%) patients had two or more VI, and 96 (44.24%) with one VI or not. The study subjects were followed up for a median of 47 (3-107) months. At the end of the follow up, 95 patients died (43.78%), of whom 47 (21.66%) patients died because of cardiovascular disease. Age (HR 1.033, 95% CI 1.007-1.061, P = 0.013), number of VI ≥ 2 (HR 2.035, 95% CI 1.083-3.821, P = 0.027) and albumin (HR 0.935, 95% CI 0.881-0.992, P = 0.027) were independent risk factors for cardiovascular mortality. The three parameters were also independent risk factors for all-cause mortality. The patients with number of VI ≥ 2 were more likely to be emergency hospitalized for acute heart failure (56 [46.28%] vs 11 [11.46%], P = 0.001). On the contrary, the number of VI was not associated with emergency hospitalized for arrhythmia, ACS or stroke. Survival analysis results showed that probability of survival was statistically different in the two groups (P < 0.05), no matter based on cardiovascular mortality or all-cause mortality. Based on age, number of VI ≥ 2 and albumin, nomogram models for 5-year cardiovascular and all-cause mortality were built. In maintenance HD patients, the prevalence of VI is prominently high. The number of VI ≥ 2 is associated with emergency hospitalized for acute heart failure, cardiovascular and all-cause mortality. Combining age, number of VI ≥ 2, and albumin can predict cardiovascular and all-cause mortality.

Physical performance and muscle strength rather than muscle mass are predictor of all-cause mortality in hemodialysis patients.

Patients undergoing maintenance hemodialysis usually suffer a high burden of poor functional status. The aim of this study was to investigate the association between muscle mass, muscle strength as well as physical performance with all-cause mortality in hemodialysis patients. 923 hemodialysis patients (565 men, mean aged 61.3 ± 12.7 years) were included from eight facilities in Tianjin and Shanghai of China from 2019 to 2021. Muscle mass was evaluated by skeletal muscle index (SMI) and muscle strength was assessed by handgrip strength. Different measures of physical performance were measured via gait speed, Timed Up and Go Test (TUGT) and short physical performance battery (SPPB). Cox proportional hazards regression models were used to determine the adjusted hazard ratios (HRs) of mortality with 95% confidence intervals (95% CIs) for baseline muscle mass, muscle strength and different measures of physical performance. Additionally, the area under the Receiver Operating Characteristic (ROC) curves were constructed to determine which index is a better predictor of mortality. During a median follow-up of 14 (12-17 months), 79 (8.6%) patients died. Using the Cox regression analysis, we founded that muscle strength and physical performance rather than muscle mass were significantly negatively associated with mortality. The C-index for different measures of physical performance in predicting mortality were 0.709 for SPPB, 0.7 for TUGT and 0.678 for gait speed, respectively. The C-index for muscle strength was 0.635, and the ability of prediction was significantly lower than the physical performance. Physical performance seems to a better indicator of mortality than muscle mass and strength in hemodialysis patients. Simple measures of physical performance may be appropriately used as a screening tool targeting high-risk hemodialysis patients for the prevention of mortality.

Secondary calciprotein particle size is associated with patient mortality in peripheral artery disease

Background and aimsSecondary calciprotein particles (CPP-II) induce inflammation and contribute to vascular calcification. CPP-II size is associated with vascular calcification in patients with chronic kidney disease (CKD) and all-cause mortality in hemodialysis patients. Here, we investigate for the first time a possible role of CPP-II size in patients with peripheral artery disease (PAD) without severe CKD. MethodsWe measured the hydrodynamic radius (Rh) of CPP-II by using dynamic light scattering in a cohort of 281 PAD patients. Mortality was evaluated over a period of ten years by central death registry queries. 35% of patients died during the observation period (median of 8.8 (6.2–9.0) years). Cox-regression analyses were performed to estimate hazard ratios (HR) and 95% confidence intervals (CI) and to allow for multivariable adjustment. ResultsThe mean CPP-II size was 188 (162-218) nm. Older patients, patients with reduced kidney function, and those with media sclerosis had larger CPP-II (p < 0.001, p = 0.008, and p = 0.043, retrospectively). There was no association between CPP-II size and overall atherosclerotic disease burden (p = 0.551). CPP-II size was independently significantly associated with all-cause (HR 1.33 (CI 1.01–1.74), p = 0.039) and cardiovascular mortality (HR 1.52 (CI 1.05–2.20), p = 0.026) in multivariable regression analyses. ConclusionsLarge CPP-II size is associated with mortality in PAD patients and might be a new feasible biomarker for the presence of media sclerosis in this patient population.

Predictive role of cardiac valvular calcification in all-cause mortality of Chinese initial haemodialysis patients: a follow-up study of 4 years

BackgroundCardiac valvular calcification (CVC) is prevalent in haemodialysis (HD) patients. Its association with mortality in Chinese incident haemodialysis (IHD) patients remains unknown.MethodsA total of 224 IHD patients who had just begun HD therapy at Zhongshan Hospital, Fudan University, were enrolled and divided into two groups according to the detection of cardiac valvular calcification (CVC) by echocardiography. The patients were followed for a median of 4 years for all-cause mortality and cardiovascular mortality.ResultsDuring follow-up, 56 (25.0%) patients died, including 29 (51.8%) of cardiovascular disease. The adjusted HR related to all-cause mortality was 2.14 (95% CI, 1.05–4.39) for patients with cardiac valvular calcification. However, CVC was not an independent risk factor for cardiovascular mortality in patients who had just begun HD therapy.ConclusionCVC at baseline is an independent risk factor for all-cause mortality in HD patients and makes an independent contribution to the prediction of all-cause mortality. These findings support the use of echocardiography at the beginning of HD.

The percentage of circulating fibrocytes is associated with increased morbidity of pulmonary hypertension in patients on hemodialysis.

Pulmonary hypertension (PH) is highly prevalent in patients receiving dialysis. The precise mechanisms underlying PH in hemodialysis (HD) patients have not been adequately addressed. Emerging experimental evidence indicates that circulating fibrocytes may contribute significantly to this process. We measured the proportion of circulating fibrocytes using flow cytometry analysis and prospectively analyzed patients during HD from February 1, 2017, to February 1, 2022. Then we investigated correlations between circulating fibrocytes, inflammation cytokines, PH, and their affective factors that predict the prognosis of HD patients. The cohort included 192 patients. During a follow-up of 5years, we registered 66 all-cause deaths, and 11 patients received kidney transplantation. The incidence of PH among HD patients was 30.9%. We found that the circulating fibrocyte level significantly correlated with pulmonary arterial systolic pressure (r = 0.412, p < 0.05). In the multiple logistic regression analysis, the percentage of circulating fibrocytes was an independent predictor of PH (odds ratio [OR]: 2.080, 95% confidence interval [CI]: 1.539-2.812, p < 0.001). Controlling for confounding covariates in the multivariate Cox regression models, the presence of PH conferred an increased risk of all-cause mortality in HD patients [hazard ratio (HR): 2.183, 95% CI:1.257-3.788, p = 0.006]. The prevalence of PH was high in HD patients and was associated with higher all-cause mortality. Higher circulating fibrocyte level was an independent predictor of the presence of PH; these fibrocytes may serve as early detection markers and novel therapeutic targets.

Development and Validation of a Nomogram for Predicting All-Cause Mortality in Patients with Hemodialysis Having Pulmonary Hypertension

Introduction: Patients with end-stage renal disease receiving hemodialysis (HD) have a high morbidity and mortality rate associated with pulmonary hypertension (PH). A nomogram was developed to predict all-cause mortality in HD patients with PH. In this study, we aimed to validate the usefulness of this nomogram. Methods: A total of 274 HD patients with PH were hospitalized at the Affiliated Hospital of Xuzhou Medical University between January 2014 and June 2019 and followed up for 3 years. Echocardiography detected PH when the peak tricuspid regurgitation velocity (TRV) was more than 2.8 m/s. To evaluate the all-cause mortality for long-term HD patients with PH, Cox regression analysis was performed to determine the factors of mortality that were included in the prediction model. Next, the area under the receiver-operating characteristic curve (AUC-ROC) was used to assess the predictive power of the model. Calibration plots and decision curve analysis (DCA) were used to assess the accuracy of the prediction results and the clinical utility of the model. Results: The all-cause mortality rate was 29.20% throughout the follow-up period. The nomogram comprised six commonly available predictors: age, diabetes mellitus, cardiovascular disease, hemoglobin, left ventricular ejection fraction, and TRV. The 1-year, 2-year, and 3-year AUC-ROC values were 0.842, 0.800, and 0.781, respectively. The calibration curves revealed excellent agreement with the nomogram, while the DCA demonstrated favorable clinical practicability. Conclusion: The first developed nomogram for predicting all-cause mortality in HD patients with PH could guide clinical decision-making and intervention planning.

Relationship between Dialysate Bicarbonate Concentration and All-Cause Mortality in Hemodialysis Patients

Introduction: The optimal dialysate bicarbonate concentration (DBIC) for hemodialysis (HD) remains controversial. Herein, we analyzed the effect of dialysate bicarbonate levels on mortality in HD patients. Methods: Patients undergoing maintenance HD were recruited from the HD unit of the Daping Hospital. Patients were categorized into quartiles according to their DBIC level (quartile 1: <31.25 mmol/L, n = 77; quartile 2: 31.25–32.31 mmol/L, n = 76; quartile 3: 32.31–33.6 mmol/L; n = 81; quartile 4: ≥33.6 mmol/L, n = 79). Demographic and clinical data were collected. Survival curves were estimated using the Kaplan-Meier method. A Cox proportional hazards regression model was used to estimate the association between DBIC and all-cause mortality. Results: We included 313 patients undergoing maintenance HD with a mean DBIC of 32.16 ± 1.59 mmol/L (range, 27.20–34.72 mmol/L). The patients in quartile 4 were more likely to have higher pre- and post-HD serum bicarbonate concentrations than those in other quartiles. The mortality rate was lowest in quartile 2 (10.53%). The survival time was significantly lower in the quartile 4 group than in the other quartiles (p = 0. 008, log-rank test). After full adjustment, the hazard ratio (per 3 mmol/L higher DBIC) for all-cause mortality was 4.29 (95% confidence interval, 2.11–8.47) in all patients, whereas no significant association was observed between DBIC and initial hospitalization. Conclusions: Our data indicate that DBIC is positively associated with all-cause mortality. A DBIC concentration of 31–32 mmol/L may benefit patient outcomes. This study provides an evidence-based medical basis for optimal dialysis prescription in the future.

Pre-transplant serum Beta Trace Protein indicates risk for post-transplant major cardiac adverse events.

Beta Trace Protein (BTP) is a biomarker for residual kidney function which has been linked to cardiovascular and all-cause mortality in haemodialysis patients. Following renal transplantation, recipients remain at increased risk for cardiovascular events compared with the general population. We aimed to determine the relationship of pre-transplant BTP to major adverse cardiac events (MACE) in patients following kidney transplantation. We included 384 patients with end-stage renal disease who received a kidney transplant. MACE was defined as myocardial infarction (ST-segment elevation or non-ST-segment elevation, stroke or transient ischemic attack), coronary artery disease requiring intervention or bypass or death for cardiovascular reason. The association between pre-transplant serum BTP concentration and post-transplant MACE was evaluated by Kaplan-Meier and Cox regression analyses. Post-transplant MACE occurred in 70/384 patients. Pre-transplant BTP was significantly higher in patients with post-transplant MACE (14.36 ± 5.73 mg/l vs. 11.26 ± 5.11 mg/l; p < .01). Next to smoking (HR 1.81), age > 56.38 years (HR 1.97) and pre-existing coronary heart disease (HR 8.23), BTP above the cut off value of 12.7 mg/l was confirmed as independent risk factor for MACE (HR 2.02, all p < .05). MACE-free survival inversely correlated with pre-transplant BTP levels. Pre-transplant serum BTP concentration may identify renal transplant recipients with higher risk of post-transplant MACE.

Development of a prediction model to estimate the 5-year risk of cardiovascular events and all-cause mortality in haemodialysis patients: a retrospective study.

Cardiovascular disease (CVD) is a major cause of mortality in patients on haemodialysis. The development of a prediction model for CVD risk is necessary to help make clinical decisions for haemodialysis patients. This retrospective study aimed to develop a prediction model for the 5-year risk of CV events and all-cause mortality in haemodialysis patients in China. We retrospectively enrolled 398 haemodialysis patients who underwent dialysis at the dialysis facility of the General Hospital of Northern Theater Command in June 2016 and were followed up for 5 years. The composite outcome was defined as CV events and/or all-cause death. Multivariable logistic regression with backwards stepwise selection was used to develop our new prediction model. Seven predictors were included in the final model: age, male sex, diabetes, history of CV events, no arteriovenous fistula at dialysis initiation, a monocyte/lymphocyte ratio greater than 0.43 and a serum uric acid level less than 436 mmol/L. Discrimination and calibration were satisfactory, with a C-statistic above 0.80. The predictors lay nearly on the 45-degree line for agreement with the outcome in the calibration plot. A simple clinical score was constructed to provide the probability of 5-year CV events or all-cause mortality. Bootstrapping validation showed that the new model also has similar discrimination and calibration. Compared with the Framingham risk score (FRS) and a similar model, our model showed better performance. This prognostic model can be used to predict the long-term risk of CV events and all-cause mortality in haemodialysis patients. An MLR greater than 0.43 is an important prognostic factor.

Head-to-Head Comparison of Oxidative Stress Biomarkers for All-Cause Mortality in Hemodialysis Patients.

Oxidative stress (OS) presents even in the early chronic kidney disease (CKD) stage and is exacerbated in patients with end-stage renal disease (ESRD) undergoing maintenance hemodialysis (MHD). There is still a debate over the association between oxidative stress and mortality. Our study aims to compare head-to-head the prognostic value of different oxidative markers for all-cause mortality in hemodialysis (HD) patients. We thus enrolled 347 patients on HD in this prospective study. Four OS biomarkers were measured (carbonyl proteins, myeloperoxidase (MPO), advanced oxidation protein products (AOPPs), and oxidized low-density lipoprotein (ox-LDL)). During the 60-month follow-up period, 9 patients have been lost to follow-up and 168 (48.4%) patients died. Concerning the oxidative stress (ox-stress) byproducts, carbonyl proteins were lower in survivors (105.40 ng/mL (IQR 81.30–147.85) versus 129.65 ng/mL (IQR 93.20–180.33); p < 0.001), with similar results for male patients (103.70 ng/mL (IQR 76.90–153.33) versus 134.55 ng/mL (IQR 93.95–178.68); p = 0.0014). However, there are no significant differences in MPO, AOPP, and ox-LDL between the two groups. Kaplan–Meier survival analysis indicated that patients in the higher carbonyl proteins concentration (>117.85 ng/mL group) had a significantly lower survival rate (log-rank test, p < 0.001). Univariate Cox regression analysis showed a positive correlation between carbonyl proteins and all-cause mortality in the higher and lower halves. Even after adjustment for conventional risk factors, it remained a statistically significant predictor of an increased risk of death in MHD. Univariate Cox regression analysis of MPO showed that continuous MPO and Log MPO were significantly associated with all-cause mortality, except for binary MPO (divided according to the median of MPO). Multivariate Cox analysis for MPO showed that the mortality prediction remains significant after adjusting for multiple factors. In conclusion, not all ox-stress biomarkers predict all-cause mortality in HD patients to a similar extent. In the present study, carbonyl proteins and MPO are independent predictors of all-cause mortality in HD patients, whereas AOPPs and oxLDL are clearly not associated with all-cause mortality in HD patients.