Mortality In Hemodialysis Patients Research Articles

Comparison of serum alkaline phosphatase levels between two measurement methods in chronic hemodialysis patients in Japan: involvement of ABO blood group system and relationship with mortality risk.

Elevated serum alkaline phosphatase (ALP) levels are a risk factor for all-cause mortality in hemodialysis patients. Traditionally in Japan, ALP measurements were conducted using the JSCC method, which yields higher ALP measurement values than the IFCC method, mainly due to its increased sensitivity to intestinal ALP. Serum total ALP levels before and after switching the assay method from JSCC to IFCC were compared among different blood types in 521 hemodialysis patients (Study 1). The association between ALP levels measured by the JSCC method and 7-year mortality was analyzed, including blood types and liver function parameters as covariates, in 510 hemodialysis patients (Study 2). ALP levels measured by the JSCC method were approximately three times higher than those measured by the IFCC method, with significant elevation in patients with blood types B and O compared to those with blood types A and AB. Similarly, ALP levels measured by the IFCC method were significantly higher in patients with blood types B and O compared to those with blood types A and AB (Study 1). The highest tertile of ALP levels showed a significantly increased risk of all-cause mortality, even after adjusting for patient background. However, this significance disappeared when serum liver function-related or inflammatory markers were included as covariates (Study 2). ALP levels measured by the JSCC method are associated with life prognosis, but caution should be exercised due to their elevation in patients with blood types B and O and in those with hepatic dysfunction or inflammation.

RELATIONSHIP BETWEEN ELECTROCARDIOGRAPHY AND ELECTROLYTES BEFORE AND AFTER DIALYSIS IN HEMODIALYSIS PATIENTS

Background: Cardiovascular events are the most important cause of mortality in hemodialysis patients. Rapid volume changes and electrolyte shifts during dialysis lead to arrhythmias. Objective: We aimed to determine whether there is a relationship between electrocardiographic (ECG) wave and interval changes and electrolyte levels before and after hemodialysis in dialysis patients. Materials and Method: A total of 112 patients undergoing hemodialysis three times a week for four hours for more than six months were included in the study. Before and after hemodialysis, 12-lead ECG, weight, arterial blood pressure, hemogram, biochemistry, and demographic data were recorded. Waves and intervals were calculated from the 12-lead ECG taken before and immediately after dialysis, and the relationship with serum electrolyte levels was evaluated. P

Impact of volume indices in bioelectrical impedance measurement on the assessment of cardiac function indices by echocardiography in hemodialysis patients

Introduction Cardiovascular events resulting from volume overload are a primary cause of mortality in hemodialysis patients. Bioelectrical impedance analysis (BIA) is significantly valuable for assessing the volume status of hemodialysis (HD) patients. In this article, we explore the correlation between the volume index measured by BIA and the cardiac function index assessed by echocardiography (ECG) in HD patients. Methods Between April and November 2018, we conducted a cross-sectional study involving randomly selected 126 maintenance HD patients. Comprehensive data on medical history and laboratory test results were collected. Subsequently, we investigated the correlation between volume indices measured by BIA and cardiac function parameters by ECG. Results We discovered a significant correlation between the volume indices measured by BIA and various parameter of cardiac function. The Left Ventricular Hypertrophy (LVH) group exhibited higher levels of the percentage of Extracellular Water (ECW%) and the percentage of Total Body Water (TBW%) compared to the Non-LVH group. Extracellular Water (ECW) and Third Interstitial Fluid Volume (TSFV) were identified as independent risk factors for Left Ventricular Mass (LVM), and both demonstrated a high predictive value for LVM. ECW% emerged as an independent risk factor for the Left Ventricular Mass Index (LVMI), with a high predictive value for LVMI. Conclusion ECW and TSFV were found to be positively associated with cardiac function parameters in HD patients.

Measures of wave intensity as a non-invasive surrogate for cardiac function predicts mortality in haemodialysis patients.

Risk prediction in haemodialysis (HD) patients is challenging due to the impact of the dialysis regime on the patient's volume status and the complex interplay with cardiac function, comorbidities and hypertension. Cardiac function as a key predictor of cardiovascular (CV) mortality in HD patients is challenging to assess in daily routine. Thus the aim of this study was to investigate the association of a novel, non-invasive relative index of systolic function with mortality and to assess its interplay with volume removal. A total of 558 (373 male/185 female) HD patients with a median age of 66years were included in this analysis. They underwent 24-hour ambulatory blood pressure monitoring, including wave intensity analysis [i.e. S:D ratio (SDR)]. All-cause and CV mortality served as endpoints and multivariate proportional hazards models were used for risk prediction. Intradialytic changes were analysed in tertiles according to ultrafiltration volume. During a follow-up of 37.8months, 193 patients died (92 due to CV reasons). The SDR was significantly associated with all-cause {univariate hazard ratio [HR] 1.36 [95% confidence interval (CI) 1.20-1.54], P<.001} and CV [univariate HR 1.41 (95% CI 1.20-1.67), P<.001] mortality. The associations remained significant in multivariate analysis accounting for possible confounders. Changes in the SDR from pre-/early- to post-dialytic averages were significantly different for the three ultrafiltration volume groups. This study provides well-powered evidence for the independent association of a novel index of systolic function with mortality. Furthermore, it revealed a significant association between intradialytic changes of the measure and intradialytic volume removal.

#529 Educational level and mortality in patients receiving chronic hemodialysis in Lazio Region—Italy

Abstract Background and Aims In 2010, 2.6 million people received Kidney Replacement Treatment (KRT) worldwide. Hemodialysis (HD) is the most commonly used KRT. HD patients have a consistent risk of death. The impact of Educational Level (Edl) on the mortality in HD patients is unclear. This study aims to analyse the association between the Edls and mortality in incident chronic HD patients using the Lazio Regional Dialysis and Transplant Registry. Method A cohort of incident HD patients between 2008 and 2022 was selected. Patients under 18 years old and with a follow-up period shorter than 91 days were excluded. All patients were characterized by sociodemographic and clinical characteristics at the incident date and were followed from the incident date until the earliest of the following dates: death, transplantation, renal function recovery or end of the study (one or three years after initiation). One-year and three-year Crude Mortality Rates*100 Person Years (CMR*100PY) overall and by Edal (low: up to primary school, medium: secondary school, high: university degree and more) were calculated. Cumulative survival estimates at one year and three years since starting HD, were presented as Kaplan-Meier curves by EdL and compared using the log-rank test. Crude and adjusted Hazard Ratios (HR) and respective 95% Confidence Intervals (95% CI) of the association between EdL and one and three-year mortality were calculated using univariate and multivariate Cox regression models (reference category: low EdL). Sociodemographic and clinical characteristics were considered potential confounders or effect modifiers in the adjusted Cox regression models. Results The cohort counted 9,776; 33.5% had a low EdL, 30.7% had a medium, and 35.8% had a high EdL. The mean age decreased with increasing EdL (73 and 65 in low and high EdL, respectively) as the proportion of females (43.0% and 26.0% in low and high EdL, respectively). During the first year of HD, 1,683 deaths occurred, and 3,827 occurred within three years. One-year CMR*100PY were 24.1 (95% CI 22.4-26.0) in low EdL, 17.4 (95% CI: 15.9-19.0) in medium EdL and 15.0 (95% CI: 13.8-16.4) in high ED. The corresponding three-year CMR were 22.7 (95% CI 21.6-23.8), 17.4 (95% CI 16.4-18.4) and 15.1 (95% CI 14.2-16.0). One-year survivals estimates were 78.0% in low EdL, 83.8% in medium and 85.8% in high EdL (log-rank test: p-value &amp;lt; 0.001). The three-years survival estimates were 51.0% in low EdL, 59.3% in medium EdL and 63.7% in high EdL (log-rank test: p-value &amp;lt; 0.001). In one-year mortality the crude HRs were 0.72 (95% CI: 0.64–0.81) and 0.62 (95% CI: 0.55–0.70) of medium and high EdL vs. low EdL respectively; the corresponding adjusted HRs were 0.93 (95% CI: 0.83–1.06) and 0.92 (95% CI: 0.81–1.04) (Fig. 1). Similar results were obtained for three-year mortality: crude HRs were 0.77 (95% CI: 0.71–0.83) and 0.66 (95% CI: 0.62–0.72); adjusted HRs were 0.99 (95% CI: 0.92–1.08) and 0.97 (95% CI: 0.89–1.06), respectively (Fig. 2).). Conclusion Based on the present study, high educational level does not appear to be associated with lower mortality risk at either one-year or three-years. Hemodialysis patients are constantly monitored by National Health Service; this probably cancels the effect of low educational level on mortality. Although EdL is a strong indicator of socioeconomic position, it does not capture all dimensions of disadvantage. The mechanisms that underline the poor prognosis in Haemodialysis patients are complex and further investigations are needed.

#2914 Impact of COVID-19 on the mortality of hemodialysis patients

Abstract Background and Aims Hemodialysis patients belong to the category of immunocompromised patients with numerous comorbidities. Infection with the SARS˗CoV˗2 virus (COVID-19) in this group of patients had a significantly higher mortality compared to the general population. During the COVID-19 pandemic, approximately 30%–35% of dialysis patients infected with SARS-CoV-2 had a fatal outcome. Method The study included chronic hemodialysis patients at the Zvezdara University Clinical Center, in order to determine the impact of COVID-19 on mortality. Mortality in patients during two years before the COVID-19 pandemic (2018/2019) and two years during the pandemic (2020/2021) was compared. The existence of differences during these two periods was also examined, in relation to age, the presence of comorbidities and the length of dialysis treatment of these patients. Results The study included 127 (61.1%) men and 81 (38.9%) women, average age 68.4 ± 11.4 years. The average dialysis experience of the examined patients was 76.6 months (1 to 418). The main cause of terminal renal failure was hypertensive nephroangiosclerosis and diabetic nephropathy 66.5% (41.9%, 24.6%). During the two years before the pandemic, a total of 73 patients died, while during the first two years of the pandemic, almost twice as many patients died, 135. Mortality is statistically significantly higher in the years of the pandemic. During the pandemic, mortality was significantly higher in patients who were on HD longer (p&amp;lt;0.05). The most common cause of death in years was SARS-CoV-2 infection (43.7%). Conclusion SARS-CoV-2 infection had a significant impact on the mortality of hemodialysis patients. The mortality of hemodialysis patients who were diagnosed with Covid 19 was extremely high. In the years of the COVID-19 pandemic, the number of deaths was almost twice as high as in previous years. Hemodialysis patients can be considered a high-risk population for illness and increased mortality from respiratory infections in pandemic conditions, both due to the impossibility of isolation during dialysis procedures and the specific organization of transportation to the dialysis center.

#2647 Assessing atherosclerosis using epicardial adipose tissue in hemodialysis patients: a meta-analysis

Abstract Background and Aims Hemodialysis (HD) patients had higher cardiovascular mortality due to accelerated atherosclerosis in such patients. Epicardial adipose tissue (EAT) thickness is a marker of atherosclerosis and independent predictor of coronary artery disease. The potential use of EAT as an imaging biomarker for cardiovascular disease risk stratification has attracted attention in the recent times. EAT's value in cases of HD hasn't been thoroughly analyzed, though. A meta-analysis of the literature assessing the mean differences in EAT value between HD patients and healthy controls was conducted. Method Pubmed, Google Scholar and Embase databases were searched from inception till 15 January 2024 for studies that measured EAT thickness of adult patients with HD and matched healthy controls. Outcomes included mean difference (MD) and 95% confidence interval (CI) of EAT thickness between the HD patients and the healthy controls. The results were combined using a fixed or random effect model as per heterogeneity among the included studies in Revman 5.4 software. The between-study heterogeneity of effect size was quantified using the Q statistic and I2. The results were represented in forest plots. Statistical significance was determined as P value of less than 0.05. Results Eight studies comprising 757 patients were included in this analysis. EAT thickness were significantly higher in HD patients as compared to healthy controls [MD: 1.88, Confidence Interval (CI): 0.74-3.02, I2 = 98%, P value = 0.001] (Fig. 1). Conclusion This meta-analysis concluded that HD patients are independently associated with higher EAT as compared to healthy controls. The utility of EAT as an imaging biomarker for predicting atherosclerosis in HD patients is promising. EAT represent readily available clinical markers useful in estimating risk of cardiovascular mortality in HD patients.

Endothelin-1, Extracellular Volume Overload, and Hemodynamics in Hemodialysis Patients.

Extracellular volume (ECV) overload and endothelial cell dysfunction (ECD) are independent risk factors for mortality in hemodialysis patients. Endothelin-1 (ET-1), an endothelium-derived vasoconstrictive peptide, is associated with poor outcomes in hemodialysis patients and heart failure patients without kidney disease. We hypothesized there would be associations between ET-1 and ECV overload assessed with bioimpedance spectroscopy (BIS) in hypertensive hemodialysis patients. We obtained pre-HD plasma ET-1, ECV/weight (using multi-frequency BIS), pre-HD hemodynamic measurements, and ambulatory blood pressure (BP) in a cohort of HD patients. Following appropriate transformations, we conducted correlation and linear regression analyses to identify associations between ET-1 and ECV overload. We further explored associations between ET-1 and total peripheral resistance index (TPRI), cardiac index (CI), and ambulatory BP. Among 66 patients, median ET-1 was 1.93 (1.49-2.56) pg/mL. Median pre-HD ECV/weight, median TPRI, mean CI, and mean systolic ambulatory BP were 0.25 (0.22-0.30) L/kg, 3161 (2711-3642) dynes*sec/cm-5/m2, 2.92 (0.6) L/min/m2, and 143 (14) mmHg, respectively. After reciprocal transformation, ET-1 correlated with reciprocal-transformed ECV/weight (r=0.3, p=.01), log-transformed TPRI (r=-0.3, p=.006), CI (r=0.3, p=.009) and ambulatory BP (r=-0.3, p=.02). Controlling for demographic variables, these associations persisted in linear regression analysis (β=0.15, p=.002; β=-0.8, p=.002; β=0.2, p=.002; β=-19, p=.03). In hypertensive HD patients, ECV overload is associated with ET-1. ET-1 is associated with higher TPRI and lower CI before dialysis and higher ambulatory BP. Further research is necessary to determine if ECV reduction lowers ET-1 or if pharmacologic ET-1 antagonism can improve outcomes in HD patients with refractory ECV overload.

#2158 Circulating kidney injury molecule-1 a valuable marker of mortality in hemodialysis patients?

Abstract Background and Aims The importance of finding reliable biomarkers of mortality in CKD, and especially in patients treated with hemodialysis has become evident. Plasma KIM-1 has been mentioned as a marker of cardiovascular morbidity.. The aim of this study is to assess the level of plasma Kidney Injury Molecule- 1 (KIM-1) as a marker of mortality in patients treated with hemodialysis. Method We conducted a single-center study that included 63 CKD G5D patients (hemodialysis for 1-5 years) followed up for 48 months and a control group consisting of 52 patients diagnosed with CKD stages G1-G5, without HfrEF. All patients have been assessed at baseline, regarding cardiovascular disease (medical history, echocardiography and ECG). Circulating plasma KIM-1 levels were determined with single molecule counting immunoassay technology using the Enzyme-linked immunosorbent assay, we performed using standard methods blood biochemistry, and markers of inflammation (CRP, IL-6) and markers of anemia (complete blood count, serum ferritin, transferrin saturation- TSAT). Results Mean plasma KIM1 levels were 403.8 +/-546.8pg/ml) in the group of patients treated with hemodialysis, and was statistically significantly higher compared to the level in the control group (217.48 +/-267.10 pg/ml). In the group of patients treated with hemodialysis plasma KIM-1 levels showed a statistically significant correlation with inflammation (mean CRP- R=0.28, p=0.02 and IL6- R=0.36, p=0.005) and with anemia (hematocrit- R= -0.5, p=-0,0316; hemoglobin - R= -0.5, p=0.02 We found out using ANOVA that patients which presented left ventricular hypertrophy on echocardiography (37 out of 62) had significantly lower mean levels of plasma KIM-1 (155,51 vs 432,12 pg/ml; p=0,026). The group of patients with vascular calcifications on echocardiography (48 out of 62) had lower levels of serum KIM1 (210.01 vs 462.58 pg/ml, p=0.04). After 24 months of follow up we found a mortality rate of 22.23%, while after 48 months the mortality rate was of 50.73%. Using a Cox proportion-hazards regression analysis of predicting factors of mortality we found that regarding the relationship between plasma levels of KIM-1 and mortality there is a significantly decreased survival in patients with low KIM-1&amp;lt;81.98 pg/ml (p&amp;lt;0.001), with a cut-off point for plasma KIM-1 levels= 81.98 pg/ml. Conclusion Plasma KIM-1 levels were significantly higher in patients treated with hemodialysis compared to the control group (ND CKD patients). However, surprisingly, low levels of plasma KIM1 were associated with some cardiovascular changes and also to an increased risk of mortality (at 4 years, not after few months).

#452 Cardiac troponins are independent predictors of cardiovascular mortality in haemodialysis patients

Abstract Background and Aims Patients with end-stage kidney disease (ESKD) and haemodialysis treatment (HD) have a high risk of cardiovascular (CV) events. The underlying pathophysiology is complex and multifactorial. This study aimed to explore the role of high-sensitivity cardiac Troponin I (hs-cTnI) as a predictor of major adverse cardiac events (MACE), CV- and all-cause mortality. Method A retrospective analysis using data from the AURORA study (CT00240331). Association with baseline hs-cTnI and MACE, CV- and all-cause mortality were assessed using Cox-regression analyses. The analyses were adjusted for multiple background factors and available biomarkers. hs-cTnI was log2 transformed and modelled using a four knot restricted cubic spline. The hazard ratio [HR] estimates are presented for the upper quartile (32.6 pg/mL) vs the lower quartile (10.1 pg/mL) of the distribution of hs-cTnI. Variables were ordered by variable importance in the models using χ2 value minus degrees of freedom. Results During the follow-up, there were 1094 total deaths of which 598 were CV deaths, and 734 MACE in patients with hsTnI measurements available at baseline. Baseline hs-cTnI was associated with an increased risk for MACE (HR 1.92; 95% Confidence interval [CI] 1.57-2.35), CV mortality (HR 2.12; 95% CI 1.69-2.66), all-cause mortality (HR 1.84; 95% CI 1.55-2.17) and non-CV mortality (HR 1.59; 95% CI 1.23-2.05) after adjustments for age, ethnicity, sex, smoking status, diabetes status, history of coronary heart disease, atrial fibrillation, blood pressure, heart rate, height, weight, years on HD, hemoglobin, cholesterol, LDL-C, HDL-C, triglycerides, hs-CRP, creatinine, albumin, phosphate, erythropoietin treatment, ACE -inhibitor use, anticoagulation treatment, treatment with rosuvastatin, sevelamer use, iron supplements, ferritin, transferrin, galectin-3, pro-BNP, CICP and SCF. When ranking variables by variable importance, hs-cTnI was the strongest predictor for MACE (Fig. 1), CV- and all-cause mortality. For non-CV mortality age was the most important variable. Conclusion Baseline hs-cTnI, is a strong and independent risk marker for MACE and all-cause mortality in patients with haemodialysis treatment.

#2833 Charlson comorbidity index predicts early failure and overall survival of vascular access among diabetic dialysis patients.

Abstract Background and Aims Vascular access (VA) survival is a determinant factor in the morbidity and mortality of haemodialysis patients, directly influencing their quality of life. Some studies have described the influence of diabetes on the reduced survival of arteriovenous fistulas as an independent factor; however, the correlation between other comorbidities in diabetic patients with vascular access survival has been less well documented. Therefore, our aim is to describe the relationship between comorbidities in diabetic haemodialysis patients and arteriovenous fistula (AVF) patency. Method Descriptive, observational and retrospective study in prevalent patients included in a haemodialysis programme by consulting electronic records over a period of 35 months. Demographic variables; related to vascular access and primary and secondary patency of all accesses were included. The Charlson Comorbidity Index was used to categorise diabetic patients according to comorbidities. Kaplan Meyer survival curves were used to contrast the impact of comorbidities on the different patency. Results 22 patients, mean age 68.36 ± 10.9 years, 68.18% male, 31.82% female, Charlson index with a median of 6.5 (5 - 8), 95.45% had a native fistula, with humero-cephalic location being more frequent (72.72%) and predominance of the left upper arm (68.18%). The time required to reach an event in both primary patency and secondary patency in diabetic patients was longer in patients with a Charlson index less than or equal to 7, this being statistically significant (Log Rank Test (Mantel-Cox): primary patency p=0.022 and secondary patency p=0.032). Conclusion The Charlson Comorbidity Index in our population is a significant factor in arteriovenous fistula survival.

#1657 Impact of cumulative fluid and sodium imbalance exposure on cause-specific mortality in hemodialysis

Abstract Background and Aims Even mild fluid overload and prolonged exposure to salt excess showed to be associated with all-cause mortality in hemodialysis patients. This analysis aims to estimate the effect of fluid and sodium imbalance on cause-specific mortality. Method The study followed 68,196 incident hemodialysis patients from 875 clinics in 25 countries for a decade (2010-2020) using the European Clinical Database 5. Fatal events (21,644) were classified through ICD10- codes and free text descriptions into different endpoints: cardiac death (7,926 events)—with subcomponents sudden cardiac death (2,815 events), coronary death (1,705 events) and heart failure death (3,248 events); cerebrovascular death (1,516 events), non-cardiovascular death (10,898 events)—with subcomponents death by sepsis (2,054) or other infection (1,217 events), cancer death (2,095), other non-cardiovascular death (5,532 events) and death of unknown origin (1,304 events). Time-varying cumulative exposure times (in months) of relative fluid overload/-depletion, hypo-/hypernatremia and low dialysate sodium (≤ 138) were assessed and hazard ratios (HR) were calculated using a multivariate Cox model. Results Fluid overload showed the most consistent exposure risk associations for cardiovascular endpoints with strongest associations in cardiac causes (arrythmia death: HR peak at 7.5 (95% CI: 4.2-3.6), heart failure death: HR peak at 4.2 (95% CI: 3.3-5.4) and sudden cardiac death: HR peak at 3.8 (95% CI: 2.6-4.5)). Fluid depletion was less important but consistently associated with all causes of death. By contrast, Hyponatremia showed heterogeneity of cause specific effects. We found slightly stronger associations for non- cardiovascular causes: Death by sepsis (HR peak at 2.3 (95% CI: 1.8-2.8)) or death by other infections (HR peak at 2.1 (95% CI: 1.6-2.7)) showed the strongest cumulative exposure risk association pattern. Hypernatremia was less important with substantially smaller effects and slightly higher associations for non-cardiovascular endpoints. For low dialysate sodium, we observed evidence of heterogeneity in cause specific effects. The risk of death due to heart failure was notably pronounced with low dialysate sodium (HR peak at 5.8 (95% CI: 1.9-17.9)), while other endpoints did not show this effect. Sensitivity analysis in patients with 48 or more months of follow-up indicated that HR in higher exposure categories might be biased downwards due to non-survival of high-risk individuals. Conclusion Cause-specific hazard models confirm the role of fluid and sodium imbalance as independently acting risk factors for mortality. Fluid overload has the most pronounced effect on cardiac death, especially death by heart failure, arrhythmia, or sudden death. In contrast, hyponatremia is a more critical risk factor for non-cardiovascular death, particularly death caused by sepsis or other infections. The significantly increased risk in patients on low dialysate sodium prescriptions is primarily driven by a dramatic increase in risk of death by heart failure.

#2652 Hemoglobin excursion outside of the target range and their associations with all-cause mortality in hemodialysis patients

Abstract Background and Aims Based on earlier analyses (Mermelstein et al., ASN Renal Week 2023), where we found an improved survival with hemoglobin levels above the currently targeted range of 10 to 11 g/dL quantified as an area under the excursion curve, we hypothesized an independent association between all-cause mortality hazard ratio and a) the number of excursions, and b) the number of days outside of the target range. Method We explored this relationship in a retrospective cohort study of incident hemodialysis patients receiving erythropoietin stimulating agent (ESA) commencing treatment Fresenius Kidney Care clinics in the US. We included patients who were given a long-acting erythropoietin stimulating agent within 90 days of dialysis initiation, considered the first six months as baseline and the following 18 months as the follow-up period. Only patients with at least 5 hemoglobin values over the first 75 days were included. We calculated the ‘area under the curve’ (AUC) above and below the target hemoglobin range of 10-11 g/dL for each patient during the baseline period, as well as days below and above range, and number of excursions below and above range. Cox proportional hazard models additionally adjusted for age, race, sex, diabetes, serum albumin, and phosphate were developed, and the hazard ratio estimates depicted in a forest plot. Results We studied 62,181 patients (57% male, 39% diabetic, mean baseline hgb 10.42 ± 0.72 g/dL, baseline AUC above target 44.36 ± 49.44 g/dL * days and 78.06 ± 86.26 g/dL * days below target). Forest plot of the HR estimates showed an increased risk of death with AUC below the lower limit of the target range (i.e. 10 g/dL), which also held true both for number of excursions and days exposed to lower hgb levels). Conversely, AUC, conversions and days spent at hgb levels higher than the upper limit of the target range (i.e. 11 g/dL), associated with a significant survival advantage. Conclusion In an effort to validate the robustness of our previously shown association between higher hgb levels and survival advantage, and to corroborate the accuracy of the utilized AUC quantification method, we separated both components of the AUC, namely into time and magnitude and quantified the independent associations with the risk of death. This allowed to discern between the associations of both to the risk of death. Consistent with the earlier results, avoiding levels below 10 g/dL and aiming for levels above the upper limit of 11 g/dL, seems to be beneficial for the anemia management of incident hemodialysis patients treated with a long-acting ESA.

#2315 Impact of iron and erythropoiesis-stimulating agent dose on mortality of hemodialysis patients with cancer

Abstract Background and Aims Anemia and iron deficiencies are frequent in hemodialysis (HD) patients and in patients with cancer. If specific guidelines on the management of erythropoiesis-stimulating agent (ESA) in HD patients with cancer have been published, the association between the iron status and the risk of morbidity and mortality in this population remains elusive. Method This retrospective, observational study include HD patients who had been diagnosed with cancer after the start of HD, between September 2009 and March 2021. Demographics, lab test, iron status and cumulative dose of iron and ESA were collected quarterly, from one year before cancer diagnosis to one year after. Univariate analyses were performed to assess the impact of iron or ESA exposure on mortality, after modelling exposure before and after diagnosis of cancer. Then, each model was adjusted, using the baseline variables that were found to be independently associated with mortality. Cox proportional-hazards modelling was used for all regression analyses. P-value &amp;lt; .05 is considered significant. Results Seventy-nine patients were included, with a median follow-up of 2.2 years (IQR: 0.9–5.3). At baseline, the median age was 72 years (IQR 63–79), 30.4% were women. The median dialysis vintage before the diagnosis of cancer was 3 years (IQR 2-7). The main cancers found were prostate (14%), colorectal (13%), bronchopulmonary (11%), urothelial (10%) and skin (10%). Lymph node involvement were observed in 18% and metastasis in 16% patients. The median hemoglobin level was 10.4 g/dL (IQR 9.9–11.7), the median ferritin level was 412 ng/mL (IQR 213–626). The median cumulative quarterly dose of iron was 600 (215–900) mg and the cumulative dose of ESA was 71 (IQR 40–148) UI/kg/week of darbopoetin alfa or equivalent. The year following the cancer diagnosis, the median dose of iron administered remained stable, but with significant variations between patients. There was an increase in the median dose of ESA, particularly after the 6th month, up to 134 (35–314) UI/kg/week. The median hemoglobin remained between 10 and 12 g/dL. The median ferritin level rises moderately during the first 6 months, then returns to values equivalent to those preceding the diagnosis of cancer. Mortality after 12 months of follow-up was high (mortality rate of 47.4%). Age, the presence of a atrial fibrillation, lymphatic invasion, metastatic invasion, or the need for more than one antitumor treatment were independently associated with mortality. In adjusted analysis (using baseline characteristics associated with death), an association with all-cause mortality was only observed with the cumulative dose of ESA in the year preceding the diagnosis of cancer (HR 1.41 [1.06–1.88], P = .017). In multivariate analysis, an association was observed between all-cause mortality and the cumulative dose of ESA in the year preceding the diagnosis of cancer, with an HR of 1.37 (1.03-1.83, P = .031). This association between all-cause mortality and cumulative dose of ESA was also found in the year following cancer diagnosis, but without reaching significance (HR 1.37 [0.95-1.98], P = .092). However, there was no association between mortality and the cumulative dose of iron administered before or after the diagnosis of cancer in multivariate analyses. Conclusion In HD patients diagnosed with cancer, the amount of iron administered was not associated with an increased risk of mortality, probably making it possible to increase the doses administered, if necessary, without any additional risk. However, it was not possible to guarantee the safety of increasing the dose of ESA in these patients. These findings should be confirmed in a larger population in order to define guideline for iron and ESA supplementation in this population.

#2744 Analysis of bacteremia and mortality in patients with tunneled catheter for hemodialysis: a 14-years observational study

Abstract Background and Aims Infections are a leading cause of morbidity and mortality in hemodialysis patients. Tunneled catheters (TC) have been associated with increased risk of infection and death, but mortality rates are not widely reported. Our study aimed to analyse catheter infection-free survival and mortality of patients with this vascular access. Method This is a retrospective study of all TC inserted during the period of 1 January 2005 to 31 December 2019. The TC were inserted by nephrologists, following a preimplantation protocol agreed with the Infectious Diseases Service. Patients were followed up from the tunneled catheter insertion until the study end date (December 31, 2020), TC related bacteremia or died. Results In the 14-year period under study, 406 TC were implanted in 325 patients. A total of 85 tunneled catheter related bacteremia were diagnosed, resulting in an incidence of 0.40 per 1000 catheter days (81.1% after 6 months of implantation). The predominant microorganisms isolated were Gram-positive organisms: Staphylococcus epidermidis (48.4%); Staphylococcus aureus (28.0%). During the study, a total of 145 patients had the TC removed or exchanged due different causes. The main reasons for catheter removal were the adequate development and use of the arteriovenous fistula (48, 33.1%) and discharge from hemodialysis due to recovery of renal function, transfer to peritoneal dialysis or renal transplantation (47, 32.4%). Only in 26 (17.9%) patients, the TC was removed due to bacteremia at a median of 4.8 (1.0-8.0) days from the bacteremia. The median time to catheter removal for non-infection-related reasons was 448 (185-910) days, without significant differences with the TC related bacteremia group [430 (116-695)] (p=0.83). The 30-day mortality rate from the first TC related bacteremia was 8.7%. During the study period, a total of 168 (51.7%) patients died for different causes. Conclusion The incidence of bacteremia in our study was low and did not seem to have a relevant impact on catheter survival. The global mortality rate was similar to that reported in European registries for patients on renal replacement therapy. An implantation and management protocol, strict in prophylactic measures, could reduce the incidence of bacteremia and reduce its morbidity and mortality.

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.

External validation of the 2-year mortality prediction tool in hemodialysis patients developed using a Bayesian network.

In recent years, a number of predictive models have appeared to predict the risk of medium-term mortality in hemodialysis patients, but only one, limited to patients aged over 70 years, has undergone sufficiently powerful external validation. Recently, using a national learning database and an innovative approach based on Bayesian networks and 14 carefully selected predictors, we have developed a clinical prediction tool to predict all-cause mortality at 2 years in all incident hemodialysis patients. In order to generalize the results of this tool and propose its use in routine clinical practice, we carried out an external validation using an independent external validation database. A regional, multicenter, observational, retrospective cohort study was conducted to externally validate the tool for predicting 2-year all-cause mortality in incident and prevalent hemodialysis patients. This study recruited a total of 142 incident and 697 prevalent adult hemodialysis patients followed up in one of the eight Association pour l'Utilisation du Rein Artificiel dans la région Lyonnaise (AURAL) Alsace dialysis centers. In incident patients, the 2-year all-cause mortality prediction tool had an area under the receiver curve (AUC-ROC) of 0.73, an accuracy of 65%, a sensitivity of 71% and a specificity of 63%. In prevalent patients, the performance for the external validation were similar in terms of AUC-ROC, accuracy and specificity, but was lower in term of sensitivity. The tool for predicting all-cause mortality at 2 years, developed using a Bayesian network and 14 routinely available explanatory variables, obtained satisfactory external validation in incident patients, but sensitivity was insufficient in prevalent patients.

Association between the triglyceride to high-density lipoprotein cholesterol ratio and mortality in Chinese maintenance haemodialysis patients: a retrospective cohort study

ObjectiveTo investigate the relationship between the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and all-cause and cardiovascular (CV) mortality in Chinese haemodialysis (HD) patients.DesignRetrospective cohort study.SettingPatients from June 2015 to...

Is aortic knob width a novel predictor of mortality in hemodialysis patients?

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