Events In Peritoneal Dialysis Patients Research Articles

Correlation of hematocrit and cardiovascular events in peritoneal dialysis patients

Objective: To investigate the correlation between hematocrit (HCT) and cardiovascular events in peritoneal dialysis (PD) patients. Methods: Patients undergoing maintenance PD in the PD center of Guizhou Provincial People's Hospital from March 19, 2012 to July 9, 2020 were included. Demographic, baseline clinical and laboratory data of the patients were collected and patients were followed up until April 8, 2022. The primary endpoint was the first occurrence of a cardiovascular event. According to the tertiles of baseline HCT, the patients were divided into group Q1 (HCT≤26.6%), group Q2 (HCT>26.6%-32.4%), and group Q3 (HCT>32.4%). Laboratory indexes and cardiovascular events were compared among the three groups. Kaplan-Meier survival curve, Cox regression analysis and sensitivity analysis were used to analyze the effect of HCT on cardiovascular outcomes. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of HCT for cardiovascular events in PD patients. Results: A total of 860 PD patients were included, including 494 males (57.4%) and 366 females (42.6%), with a mean age of (41.5±15.0) years. There were 287 cases in group Q1, 289 cases in group Q2, and 284 cases in group Q3, respectively. A total of 265 (30.8%) patients experienced first cardiovascular events during the follow-up period. The incidence of cardiovascular events in groups Q1, Q2 and Q3 was 36.2% (104/287), 34.3% (99/289), and 21.8% (62/284), respectively, with a statistically significant difference (P<0.001). The incidence of cardiovascular events decreased with the increase of HCT. Multivariate Cox proportional hazards regression model analysis showed that decreased HCT was a risk factor for cardiovascular events. Compared with group Q3, the risk of cardiovascular events in group Q1 increased by 50.7% (group Q2: HR=1.444, 95%CI: 1.029-2.028, P=0.034; group Q1: HR=1.570, 95%CI: 1.096-2.250, P=0.014). In the sensitivity analysis, using kidney transplantation as the competition event, the risk of cardiovascular events was lower in group Q3 than that in group Q1 (subdistributional HR=1.413, 95%CI: 1.006-1.990, P=0.046). Kaplan-Meier survival curve showed that compared with the other two groups, the cardiovascular events-free survival rate of patients in group Q1 was significantly lower (log-rank χ2=9.722, P=0.008). ROC analysis showed that the area under the curve (AUC) of HCT for predicting cardiovascular events in PD patients was 0.583 (95%CI: 0.542-0.623, P<0.001), with the sensitivity of 40.6% and the specificity of 75.1%. Conclusion: Low-level HCT is associated with an increased risk of the first cardiovascular event in PD patients.

Circulating galectin-3 level association with cardiovascular risk factors during peritoneal dialysis.

Cardiovascular disease (CVD) represents the primary cause of mortality in patients afflicted with end-stage renal disease and undergoing peritoneal dialysis (PD) treatment. Galectin-3 (Gal-3), a molecule known to exhibit a correlation with CVD mortality garners considerable interest. The objective of this study was to explore the potential association between serum Gal-3 levels and other CVD risk factors among PD patients. In this cross-sectional study, a total of 114 PD patients with a minimum of 3 months of PD treatment were enrolled. Serum Gal-3 levels were quantified using an enzyme-linked immunosorbent assay. The data of patients with Gal-3 levels higher and lower than 26.744 pg/ml were compared using Mann-Whitney U tests or t tests. Pearson's correlation or Spearman's correlation analysis and multivariate regression were used to assess the associations between the known risk factors for CVD and Gal-3. In comparison to the inter-group baseline data, the low Gal-3 group exhibited a higher glomerular filtration rate (GFR). Gal-3 levels correlate positively with PD duration, B-type natriuretic peptide (BNP), growth differentiation factor 15 (GDF-15), interventricular septal thickness in diastolic (IVST), and left ventricular mass index (LVMI). Conversely, Gal-3 exhibited a negative correlation with albumin levels. Multivariate linear regression analysis demonstrated a positive correlation between Gal-3 levels and BNP, GDF-15, PD duration, IVST and LVMI. Gal-3 levels were negatively correlated with albumin levels. Gal-3 was strongly associated with BNP, GDF-15, IVST and LVMI in patients undergoing PD treatment. Prospective studies should be carried out to determine whether Gal-3 can be a promising biomarker in predicting increased risk of adverse cardiovascular events in PD patients.

Attention-Based Deep Learning Model for Prediction of Major Adverse Cardiovascular Events in Peritoneal Dialysis Patients.

Major adverse cardiovascular events (MACE) encompass pivotal cardiovascular outcomes such as myocardial infarction, unstable angina, and cardiovascular-related mortality. Patients undergoing peritoneal dialysis (PD) exhibit specific cardiovascular risk factors during the treatment, which can escalate the likelihood of cardiovascular events. Hence, the prediction and key factor analysis of MACE have assumed paramount significance for peritoneal dialysis patients. Current pathological methodologies for prognosis prediction are not only costly but also cumbersome in effectively processing electronic health records (EHRs) data with high dimensionality, heterogeneity, and time series. Therefore in this study, we propose the CVEformer, an attention-based neural network designed to predict MACE and analyze risk factors. CVEformer leverages the self-attention mechanism to capture temporal correlations among time series variables, allowing for weighted integration of variables and estimation of the probability of MACE. CVEformer first captures the correlations among heterogeneous variables through attention scores. Then, it analyzes the correlations within the time series data to identify key risk variables and predict the probability of MACE. When trained and evaluated on data from a large cohort of peritoneal dialysis patients across multiple centers, CVEformer outperforms existing models in terms of predictive performance.

Vascular calcification inhibitors and cardiovascular events in peritoneal dialysis patients.

The prevalence of cardiovascular diseases is high among patients with chronic kidney disease (CKD) and peritoneal dialysis (PD) patients, which increases morbidity and mortality in this population and represents a significant financial burden for both the patients and the healthcare systems. Vascular calcification (VC) is associated with increased morbidity and mortality and VC risk is higher in patients with CKD than in healthy individuals. Calcification inhibitors, compounds that inhibit VC, were discovered as a result of efforts to explain why some patients are spared. It was found that certain proteins (e.g., fetuin-A, osteopontin, osteoprotegerin, bone morphogenetic protein-7) inhibit calcification in dialysis patients. In this narrative review, we provide an overview of known calcification inhibitors, describe the relevant regulatory mechanisms, and discuss their relation to VC development in PD patients.

The Effect of Far-Infrared Therapy on the Cardiovascular and Infection Events in Peritoneal Dialysis Patients

The Effect of Far-Infrared Therapy on the Cardiovascular and Infection Events in Peritoneal Dialysis Patients

The association of left ventricular fraction shortening with cardiovascular events in peritoneal dialysis patients

Background Peritoneal dialysis (PD) patients have a high incidence of cardiovascular events (CVEs). Left ventricular fraction shortening (LVFS), one of the echocardiographic parameters, is an independent risk factor for mortality in previous studies. The aim of this study was to evaluate associations between LVFS and CVEs in PD patients. Methods This was a single-center observational cohort study. Seven hundred and eighty-four PD patients were enrolled from 1 January 2012 to 1 June 2021 and followed until 1 June 2022. The primary outcome was the incidence of CVEs. PD patients were categorized into three groups according to the tertiles of LVFS levels (tertile 1-tertile 3). Kaplan-Meier method, Cox proportional hazard models and competing risk regression models were used for survival analysis. The areas under the curve (AUC) of receiver-operating characteristic analysis was used to determine the predictive values of LVFS for CVEs. A preplanned subgroup analysis was assessed according to age, gender, and the presence of hypertension and dyslipidemia, etc. Results During a median follow-up period of 42.3 months (interquartile range 24.0–79.0 months), 259 CVEs occurred. Compared to the other two groups respectively, patients in tertile 3 group had the lowest incidence of CVEs (24.5% vs 31.6% vs 43.0%, respectively, p < 0.05). After multiple adjustments, the tertile 3 group was associated with the 45.1% decrease in the CVEs hazard compared to that of the tertile1 group (SHR = 0.549, 95%CI: 0.395–0.762, p < 0.001). Subgroup analysis demonstrated that tertile 1 group as the reference, the association between LVFS and CVEs in tertile 3 group was robust among female patients (HR = 0.506, 95%CI: 0.309–0.829, p = 0.007), aged < 45 years (HR = 0.496, 95%CI: 0.331–0.744, p = 0.001), history of hypertension (HR = 0.586, 95%CI: 0.349–0.872, p = 0.008) and combined with dyslipidemia (HR = 0.464, 95%CI: 0.269–0.799, p = 0.006). Conclusions This study suggests that LVFS is independently associated with the increased risk of CVEs in PD patients, especially those with aged < 45 years, female, with hypertension and dyslipidemia.

Home Pulse Pressure Predicts Death and Cardiovascular Events in Peritoneal Dialysis Patients.

Increased arterial hypertension represents a prevalent condition in peritoneal dialysis patients that is often related to volume expansion. Pulse pressure is a robust predictor of mortality in dialysis patients, but its association with mortality is unknown in peritoneal patients. We investigated the relationship between home pulse pressure and survival in 140 PD patients. During a mean follow-up of 35 months, 62 patients died, and 66 experienced the combined event death/CV events. In a crude COX regression analysis, a five-unit increase in HPP was associated with a 17% increase in the hazard ratio of mortality (HR: 1.17, 95% CI 1.08-1.26 p < 0.001). This result was confirmed in a multiple Cox model adjusted for age, gender, diabetes, systolic arterial pressure, and dialysis adequacy (HR: 1.31, 95% CI 1.12-1.52, p = 0.001). Similar results were obtained considering the combined event death-CV events as an outcome. Home pulse pressure represents, in part, arterial stiffness, and it is strongly related to all-cause mortality in peritoneal patients. In these high cardiovascular risk populations, it is important to maintain optimal blood pressure control, but it is fundamental to consider all the other cardiovascular risk indicators, such as pulse pressure. Home pulse pressure measurement is easy and feasible and can add important information for the identification and management of high-risk patients.

The prognostic value of monocyte-to-lymphocyte ratio in peritoneal dialysis patients

BackgroundThe monocyte-to-lymphocyte ratio (MLR) is considered as a new inflammation marker. This study was aimed to investigate the prognostic value of MLR for all-cause mortality and new-onset cardiovascular disease (CVD) events in peritoneal dialysis (PD) patients.MethodsThis study enrolled patients receiving PD treatment for ≥ 3 months. Baseline characteristics were obtained within 1 week before PD catheterization. The receiver operating characteristic curve analysis was conducted to determine the optimal cut-off value of MLR. The Kaplan–Meier curve estimated the cumulative survival rate and new CVD free survival rate. Univariate and multivariate Cox regression models were preformed to investigate the association between MLR and clinical outcomes.ResultsA total of 369 PD patients participated in this study. During a median follow-up period of 32.83 months, 65 patients (24.2%) died, and 141 patients (52.4%) occurred new-onset CVD events. The Kaplan–Meier curve revealed that survival rate in high MLR group (MLR > 0.2168) was significantly lower than in low MLR group (P = 0.008). Patients in high MLR group were more likely to experience CVD events (P = 0.002). Even after adjustment of traditional risk factors, including age, diabetes mellitus, CVD history, smoking, hyperlipidemia, high MLR remained an independent predictor of all-cause mortality [hazard ration (HR) = 2.518, 95% confidence intervals (CI) = 1.020–6.214, P = 0.045] and new-onset CVD events (HR = 1.815, 95% CI = 1.157–2.849, P = 0.010).ConclusionsThis study suggested that high MLR was significantly and independently associated with all-cause mortality and CVD events in PD patients. The MLR is an inexpensive and straightforward indicator to reflect systemic inflammation status and help clinicians improve PD management.

WCN23-1074 New Remote Intelligent Follow-up system reduces heart failure events in peritoneal dialysis patients

WCN23-1074 New Remote Intelligent Follow-up system reduces heart failure events in peritoneal dialysis patients

Low-density lipoprotein cholesterol to apolipoprotein B ratio predicts mortality and cardiovascular events in peritoneal dialysis patients.

The ratio of low-density lipoprotein cholesterol (LDL-C)/apolipoprotein B (apo B) is associated with all-cause mortality and cardiovascular events in chronic kidney disease patients. The aim of this study was to investigate the association between the LDL-C/apo B ratio (LAR) and all-cause mortality and cardiovascular events in peritoneal dialysis (PD) patients. A total of 1199 incident PD patients were enrolled from November 1, 2005 to August 31, 2019. The LAR was used to divide the patients into two groups by X-Tile software and restricted cubic splines using 1.04 as the cutoff. The incidence of all-cause mortality and cardiovascular events at follow-up was compared according to LAR. Of the 1199 patients, 58.0% were men, the mean age was 49.3 ± 14.5years, 225 patients had a history of diabetes, and 117 patients had prior cardiovascular disease. During the follow-up period, 326 patients died, and 178 patients experienced cardiovascular events. After full adjustment, a low LAR was significantly associated with HRs for all-cause mortality of 1.37 (95% CI 1.02-1.84, P = 0.034) and for cardiovascular events of 1.61 (95% CI 1.10-2.36, P = 0.014). This study suggests that a low LAR is an independent risk factor for all-cause mortality and cardiovascular events in PD patients, indicating that the LAR may provide significant information when assessing all-cause mortality and cardiovascular risks.

Correlation between Apolipoprotein A1 and the Occurrence and Prognosis of Cardiovascular Events in Peritoneal Dialysis Patients.

This study investigates the value of apolipoprotein A1 in assessing the occurrence and prognosis of cardiovascular events in peritoneal dialysis patients. A retrospective analysis was conducted based on the clinical information of 80 end-stage renal disease patients who underwent peritoneal dialysis at Zhuji People's Hospital Zhejiang Province from January 2015 to December 2016. Based on the median value of apolipoprotein A1, patients were evenly distributed as either High Apolipoprotein A1 Group (H-ApoA1, > 1.145g/L, n = 40) or Low Apolipoprotein A1 Group (L-ApoA1, < 1.145g/L, n = 40). When compared with the H-ApoA1 group, the L-ApoA1 group patients were observed to have higher BMI, total Kt/V, hemoglobin, AKP, glycated hemoglobin, HOMA-IR, HDL levels, while simultaneously having lower total Ccr, triglycerides, total cholesterol, LDL, CRP levels (p < 0.05). Further analysis found that the all-cause mortality rate, cardiovascular death rate, and cardiovascular event rates were significantly higher in L-ApoA1 group patients than the H-ApoA1 group (p < 0.05); no statistical significance was found for mortality rates due to infection, abandon treatment, tumor, failure, gastrointestinal bleeding or undetermined reasons between the two groups (p > 0.05). In addition, the median all-cause mortality and median occurrence of cardiovascular events of L-ApoA1 group patients were observed to be shorter than the H-ApoA1 group (p < 0.05), and apolipoprotein A1 is a risk factor for all-cause mortality rate and cardiovascular occurrence end-point events (p < 0.05). Peritoneal dialysis patients with a reduced level of apolipoprotein A1 have a poorer prognosis and more severe cardiovascular events.

The relationship between platelet distribution width and new-onset cardiovascular disease events in patients with peritoneal dialysis

Objectives The global mortality rate from chronic kidney disease (CKD) has increased over the past two decades. Typically, peritoneal dialysis (PD) remains a useful alternative treatment for end-stage renal disease. Cardiovascular disease (CVD) is the main complication in PD patients. In terms of prognosis, it is reported that platelet distribution width (PDW) can predict adverse CVD events. However, the relationship between PDW and new-onset CVD in PD patients is not clear. This study aimed to explore the relationship between PDW and new-onset CVD in PD patients. Methods This was a retrospective cohort study, from 4 July 2005 to 31 December 2019, and a total of 1557 patients were recruited. PDW was respectively categorized into two groups: PDW ≤13.2 fL and PDW >13.2 fL. The primary outcome was a new-onset CVD event. Cox proportional hazards models were performed to assess the hazard ratio (HR). Receiver-operating characteristic (ROC) curves were applied to evaluate the predictive accuracy of the PDW on CVD events. Results During follow-up, 114 new-onset CVD events were recorded. Cox proportional hazards models showed a higher risk of CVD events in patients with high PDW (HR = 1.862 95%CI 1.205–2.877, p = 0.005). Kaplan–Meier cumulative incidence curves showed the risk of the first occurrence of CVD events was greater in the high PDW group (p = 0.006). Conclusions High PDW is associated with new-onset cardiovascular disease events in PD patients.

Proton pump inhibitor usage associates with higher risk of first episodes of pneumonia and peritonitis in peritoneal dialysis patients

Background A large number of studies have shown that proton pump inhibitors (PPIs) are associated with infection events. Therefore, we retrospectively evaluated the association of PPI therapy with the occurrence of first pneumonia and peritoneal dialysis(PD)-related peritonitis events in the maintenance PD patients. Methods We collected PD patients in two large hospitals from January 1, 2012 to December 31, 2016, and divided them into the PPI group and the non-PPI group. Multivariate Cox proportional hazards models were applied to evaluate the cumulative incidence and hazard ratios (HRs). Inverse probability of treatment weight (IPTW) method was used to adjust for covariate imbalance between the two groups and further confirm our findings. Results Finally, 656 PD patients were included for data analysis, and the results showed that PPI usage was associated with an increased risk of pneumonia [HR 1.71; 95% CI 1.06-2.76; p = 0.027] and peritonitis [HR 1.73; 95% CI 1.24-2.40; p = 0.001]. IPTW-adjusted HRs for the association of PPIs with pneumonia and peritonitis were 1.58 (95% CI:1.18-2.12; p = 0.002) and 2.33 (95% CI:1.91-2.85; p < 0.001), respectively. Moreover, the competitive risk model proved that under the conditions of competition for other events(including transfer to hemodialysis therapy, kidney transplant, transfer from our research center, loss to follow-up, and death), the differences in endpoints events between the two groups were still statistically significant (p = 0.009, p < 0.001, respectively). Conclusions PPIs was associated with an increased risk of first pneumonia and PD-related peritonitis events in PD patients, which reminds clinicians to be cautious when prescribing acid-suppressing drugs for PD patients.

Neutrophil to high-density lipoprotein ratio associates with higher all-cause mortality and new onset cardiovascular events in peritoneal dialysis patients.

Neutrophil to high-density lipoprotein ratio (NHR), a new inflammatory marker, is associated with poor clinical prognosis. However, the correlation of NHR and adverse outcomes in peritoneal dialysis (PD) patients remains unclear. In this retrospective cohort study, a total of 1051 PD patients were recruited from three centers during Jan 1, 2009 to Dec 31, 2017. Eligible patients were distributed according to quartiles of the NHR. Kaplan-Meier cumulative incidence curves, multivariate COX regression, competitive risk analysis and restricted cubic spline (RCS) were applied to analyze the relationship between NHR and all-cause mortality as well as cardiovascular events (CVE). In addition, forest plots were used to calculate the interaction between different subgroups. During follow-up, a total of 240 all-cause mortality and 157 new-onset CVE were recorded. The all-cause mortality in the highest quartile of NHR (> 5.43) were higher than those in the other groups. RCS showed a non-linear relationship between NHR and adverse outcomes. Multivariate COX regression indicated elevated NHR was an independent risk factor for all-cause mortality. Compared to the highest quartile, hazard ratio (HR) of new-onset CVE equals to 0.522 (95% CI 0.321-0.849) in the secondary quartile (2.43 < NHR ≤ 3.57), and the HR of all-cause mortality analysis is 0.551 (95% CI 0.378-0.803) in the third quartile (3.57 < NHR ≤ 5.43). Kaplan-Meier analysis suggested there were significant differences in all-cause mortality and new-onset CVE among four NHR groups. NHR was a new independent risk factor for all-cause mortality in PD patients.

Proton pump inhibitor usage is associated with higher all-cause mortality and CV events in peritoneal dialysis patients

Objectives A long period of inappropriate proton pump inhibitors (PPI) treatment has been proved to be associated with adverse prognosis in general population and hemodialysis patients. This study was conducted to clarify the impact of PPI usage on mortality and adverse cardiovascular (CV) events in peritoneal dialysis (PD) patients. Methods and design This is a retrospective study. A total of 905 patients were enrolled from two PD centers, including 211 patients on PPI treatment and 618 patients not on PPIs. Kaplan–Meier curves were used to identify the incidence of adverse outcomes. Multivariate Cox regression models and inverse probability of treatment weighting (IPTW) were applied to analyze hazard ratios (HRs) for adverse outcomes. Results During follow-up, 162 deaths and 102 CV events were recorded. Kaplan–Meier curve demonstrated all-cause mortality (log-rank test p = .018) and CV events (log-rank test p = .024) were significantly higher in PPI usage group. Multivariate Cox regression models and IPTW showed that PPI usage was an indicator for all-cause mortality (HR = 1.35, 95%CI = 1.09–1.67, p = .006) and CV events (HR = 1.78, 95%CI = 1.35–2.32, p < .001). Conclusions PPI usage is associated with higher all-cause mortality and CV events in PD patients. Clinicians are supposed to be more careful when using PPI and need to master the indications more rigorously in patients receiving PD treatment.

The Correlation between Serum Lipoprotein(a) and Risk of Mortality in Patients on Peritoneal Dialysis.

Patients with peritoneal dialysis commonly have severe disorders of lipid metabolism, with particularly severe changes in serum lipoprotein(α) [Lp(α)]. Serum Lp(α) may play a role in the risk of mortality in peritoneal dialysis patients. The aim was to investigate the correlation between high serum Lp(α) levels and all-cause mortality and death from cardiovascular events and infection in peritoneal dialysis patients. Three hundred and ninety-two patients with end-stage kidney disease who started peritoneal dialysis treatment between March 1, 2007 and May 31, 2020, were selected. Clinical data of all enrolled patients after 3 months of peritoneal dialysis were collected. Based on the median value of serum Lp(α) level, all enrolled patients were divided equally into a high serum Lp(α) level group (> 275.95 mg/L, n = 196) and a low serum Lp(α) level group (< 275.95 mg/L, n = 196). SPSS25.0 statistical software was used to analyze the factors affecting serum Lp(α) levels and the correlation between high serum Lp(α) levels and all-cause mortality and death from cardiovascular events and infection in peritoneal dialysis patients. Binary multivariate logistic regression analysis showed that higher low-density lipoprotein (LDL) levels (OR = 1.614, 95% CI: 1.261 - 2.068, p = 0.000) and high Body Mass Index (BMI) levels (OR = 1.063, 95% CI: 1.004 - 1.126, p = 0.036) were the risk factors for the high serum Lp(α) levels. High serum albumin levels (OR = 0.959, 95% CI: 0.927 - 0.991, p = 0.014) and high parathyroid hormone levels (OR = 0.999, 95% CI: 0.997 - 1.000, p = 0.010) were protective factors for the high serum Lp(α) levels. The cumulative survival of patients in the high serum Lp(α) level group was lower in death from cardiovascular events as shown by Kaplan-Meier survival analysis (Log-rank test χ2 = 4.348, p = 0.037). Multivariate Cox regression analysis showed that high serum Lp(α) levels were an independent risk factor for death from cardiovascular events in peritoneal dialysis patients (HR = 1.002, 95% CI: 1.001 - 1.003, p = 0.001). The occurrence of high serum Lp(α) levels in peritoneal dialysis patients was positively associated with LDL and BMI, and negatively associated with serum albumin and parathyroid hormone levels. High serum Lp(α) levels were related to the risk of death from cardiovascular events in peritoneal dialysis patients.

An echocardiography‐derived calcium score as a predictor of major adverse cardiovascular events in peritoneal dialysis patients—A prospective cohort study

AbstractBackgroundAn echocardiography‐derived calcium score (ECS) has been shown to predict cardiovascular (CV) mortality in the general population but has not been utilized in the dialysis population.MethodsWe conducted a prospective cohort study including 125 prevalent PD patients. Two blinded and independent echocardiographers determined the ECS for each subject at baseline. The primary outcome was the three‐point major adverse cardiovascular events (MACE) which is a composite outcome comprising CV death, non‐fatal myocardial infarction and non‐fatal stroke. The secondary outcome was all‐cause mortality.ResultsThe mean age was 61 ± 13 years. The median follow‐up duration was 40 months (range 1–50). Seventy six (60.8%) of the subjects had diabetes mellitus (DM). The median duration of dialysis was 32 (IQR 16–54) months. The incidences of MACE and all‐cause mortality were 13.0 per 100 patient‐years and 18.3 per 100 patient‐years. Multivariate Cox regression analysis identified the following three independent predictors of MACE: ECS (HR 1.253/unit increase in ECS, 95% CI 1.014–1.547, p = .036), DM (HR 2.467, 95% CI 1.014–6.005, p = .047) and pre‐existing cardiovascular disease (CVD) (HR 2.441, 95% CI 1.261–4.728, p = .008); and the following two predictors of all‐cause mortality: pre‐existing CVD (HR 2.156, 95% CI 1.251–3.714, p = .006) and serum albumin (HR 0.887/g/L increase in serum albumin, 95% CI 0.839–0.937, p &lt; .001).ConclusionThe ECS appears to be a significant predictor of MACE in PD patients independently of DM and pre‐existing CVD.

Effects of ACEIs and ARBs on the Residual Renal Function in Peritoneal Dialysis Patients: A Meta-Analysis of Randomized Controlled Trials.

Background In peritoneal dialysis (PD) patients, whether angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) could protect residual renal function is still controversial. To assess the effects of ACEIs and ARBs on the residual renal function and cardiovascular (CV) events in peritoneal dialysis patients, we performed a meta-analysis of randomized controlled trials. Materials and Methods We searched PubMed, EMBASE, the Cochrane Library, the CNKI database, and the Wanfang database for relevant articles from database inception to November 30, 2019. Randomized controlled trials were included. The primary outcome was the decline in the residual renal function (RRF). Results Thirteen trials with 625 participants were included in the meta-analysis. The average residual GFR declined by 1.79 ml/min per 1.73 m2 in the ACEI/ARB group versus 1.44 ml/min per 1.73 m2 in the placebo or active control group at 3 mo. The average residual GFR declined by 2.02 versus 2.06, 2.16 versus 2.72, and -0.04 versus 2.74 ml/min per 1.73 m2 in the placebo or active control group at 6 months (mo), 12 mo, and 24 mo, respectively. The decline in residual GFR showed a significant difference between the ACEI/ARB group and the placebo or active control group at 12 mo (MD = −0.64 ml/min per 1.73 m2; 95% CI: -0.97~-0.32; I2 = 44%; P < 0.0001). No significant difference was observed in Kt/V, urinary protein excretion, weekly creatinine clearance, CV events, or serum potassium levels. Conclusions In the present study, we found that the use of ACEIs and ARBs, especially long-term treatment, decreased the decline of RRF in patients on PD. ACEIs and ARBs do not cause an additional risk of side effects.

Prognostic value of soluble ST2 and soluble LR11 on mortality and cardiovascular events in peritoneal dialysis patients

BackgroundAlthough the soluble form of suppression of tumorigenicity 2 (sST2) and soluble low-density lipoprotein receptor relative with 11 ligand-binding repeats (sLR11) have emerged as novel cardiovascular biomarkers in patients with cardiovascular disease, their prognostic value has not been fully investigated in peritoneal dialysis (PD) patients.MethodsWe included 74 prevalent PD patients from a prospective cohort and measured serum sST2 and sLR11 concentrations by an enzyme-linked immunosorbent assay. The association of these biomarkers and all-cause mortality and major adverse cardiac and cerebrovascular events (MACCEs) was evaluated.ResultsDuring a follow-up of 38.5 months, all-cause deaths and MACCEs were observed in 13 (17.6%) patients and 23 (31.3%) patients. Multivariable Cox analyses demonstrated that greater sST2 was independently associated with higher risk of all-cause mortality (≥75.8 ng/mL; hazard ratio [HR] = 5.551; 95% confidence interval [CI] = 1.360–22.660) and MACCEs (≥72.5 ng/mL; HR = 4.609; 95% CI = 1.608–13.208). Furthermore, sST2 showed additive predictive value for mortality to the base model including traditional risk factors (net reclassification index = 0.598, P = 0.04). sLR11 was not significantly associated with all-cause mortality or MACCE.ConclusionssST2, but not sLR11, indicated a significant prognostic value for all-cause mortality and cardiovascular events in PD patients. Further research is needed to validate emerging biomarkers in these populations.

Peritonitis Affects the Relationship Between Low-Density Lipoprotein Cholesterol and Cardiovascular Events in Peritoneal Dialysis Patients

BackgroundIn peritoneal dialysis (PD), the relationship among low-density lipoprotein cholesterol (LDL-C), peritonitis, and cardiovascular (CV) disease has not been clarified. This study was performed to explore their associations in a large PD cohort. MethodsThis retrospective cohort study included incident patients who received PD catheter insertion in our centre. The primary outcome was the first CV event (nonfatal myocardial infarction, CV death, non-haemorrhagic stroke, or any arterial revascularization procedure). Secondary outcomes were the occurrence of peritonitis, CV mortality, and all-cause mortality. ResultsThis study included 1294 patients, whose mean age was 48.1 years. After adjustment for confounders in negative binomial regression models, lower LDL-C quartiles were independently associated with a higher risk of peritonitis, compared with the highest quartile. The multivariate competing risk model showed no significant association between baseline LDL-C and the first CV event in the overall population. However, stratified analysis showed that each 1 mmol/L increase in LDL-C was independently associated with a 21% (subdistribution hazard ratio: 1.21, 95% confidence interval: 1.06-1.39) increased risk of the first CV event among peritonitis-free patients, and with a 20% (subdistribution hazard ratio: 0.80, 95% confidence interval: 0.65-0.99) decreased risk among patients with peritonitis. Moderating-effect analysis showed that the presence of peritonitis significantly influenced the relationships between LDL-C and CV events (P < 0.001). Similar results were also observed in the relationship between LDL-C and mortality. ConclusionsPD patients with lower baseline LDL-C had a higher risk of peritonitis. The effect of LDL-C on CV events and mortality was different by the presence of peritonitis events.