Blood Purification最新文献

Introduction: Renal replacement therapy (RRT) is associated with hypotension. However, its impact on cardiac output (CO) is less understood. We aimed to describe current knowledge of CO monitoring and changes during RRT.

Methods: We searched MEDLINE, Embase, and Cochrane from January 1, 2000, to January 31, 2023, using Covidence for studies of intermittent hemodialysis (IHD) and continuous RRT (CRRT) with at least three CO measurements during treatment. Two independent reviewers screened citations, and a third resolved disagreements. The findings did not allow meta-analysis and are presented descriptively.

Results: We screened 3,285 articles and included 48 (37 during IHD, nine during CRRT, and two during both). Non-invasive devices (electrical conductivity techniques and finger cuff pulse contour) were the most common CO measurement techniques (21 studies). The median baseline cardiac index in IHD studies was 3 L/min/m2 (95% CI, 2.7-3.39). Among the 88 patient cohorts studied, a decrease in CO occurred in 63 (72%). In 16 cohorts, the decrease was severe (>25%). Changes in blood pressure (BP) were not concordant in extent or direction with changes in CO. The decrease in CO correlated weakly with ultrafiltration rate (r = -0.3, p = 0.05) and strongly with changes in systemic vascular resistance (SVR) (r = -0.6, p < 0.001).

Conclusion: There are limited data on CO changes during RRT. However, a decrease in CO appeared common and was marked in 1 of 5 patient cohorts. Such decreases often occurred without BP changes and were associated with increased SVR.

Introduction: The rapid advancement of artificial intelligence and big data analytics, including descriptive, diagnostic, predictive, and prescriptive analytics, has the potential to revolutionize many areas of medicine, including nephrology and dialysis. Artificial intelligence and big data analytics can be used to analyze large amounts of patient medical records, including laboratory results and imaging studies, to improve the accuracy of diagnosis, enhance early detection, identify patterns and trends, and personalize treatment plans for patients with kidney disease. Additionally, artificial intelligence and big data analytics can be used to identify patients' treatment who are not receiving adequate care, highlighting care inefficiencies in the dialysis provider, optimizing patient outcomes, reducing healthcare costs, and consequently creating values for all the involved stakeholders.

Objectives: We present the results of a comprehensive survey aimed at exploring the attitudes of European physicians from eight countries working within a major hemodialysis network (Fresenius Medical Care NephroCare) toward the application of artificial intelligence in clinical practice.

Methods: An electronic survey on the implementation of artificial intelligence in hemodialysis clinics was distributed to 1,067 physicians. Of the 1,067 individuals invited to participate in the study, 404 (37.9%) professionals agreed to participate in the survey.

Results: The survey showed that a substantial proportion of respondents believe that artificial intelligence has the potential to support physicians in reducing medical malpractice or mistakes.

Conclusion: While artificial intelligence's potential benefits are recognized in reducing medical errors and improving decision-making, concerns about treatment plan consistency, personalization, privacy, and the human aspects of patient care persist. Addressing these concerns will be crucial for successfully integrating artificial intelligence solutions in nephrology practice.

Introduction: The aim of this study was to investigate the role of sacubitril/valsartan in managing hypertension and cardiac remodeling in patients undergoing hemodialysis.

Methods: Hemodialysis patients with stable blood pressure control were enrolled in the study. Sacubitril/valsartan was prescribed to replace previously used angiotensin-converting enzyme inhibitor/angiotensin receptor blocker or other antihypertensive drugs. During a 6-month follow-up period, pre-dialysis blood pressure, routine biochemical markers, and N-terminal pro-brain natriuretic peptide levels were measured. Volume status was assessed using bioelectrical impedance analysis. Endothelial damage was evaluated by measuring asymmetric dimethylarginine expression, while echocardiography and life quality assessed by Short Form-12 Health Survey were conducted at baseline and after treatment.

Results: The median daily dose of sacubitril/valsartan in 32 participants was 200 mg, and no obvious adverse reactions were reported. The defined daily dose of other antihypertensive drugs (baseline 2.00 ± 1.18, end point 1.46 ± 1.30, t = 3.216, p = 0.003) reduced significantly. After treatment with sacubitril/valsartan, left ventricular ejection fraction significantly increased from 64.81 ± 8.16% to 67.55 ± 5.85% (t = -4.022, p ≤ 0.001) and the thickness of posterior wall of the left ventricle reduced from 1.05 ± 0.14 cm to 1.00 ± 0.11 cm (t = 2.063, p = 0.048). The interventricular septal thickness (baseline 1.08 ± 0.16 cm, endpoint 1.02 ± 0.12 cm, t = 2.260, p = 0.031) remarkably reduced by the end of follow-up. The tricuspid regurgitation pressure gradient decreased from 28.47 ± 8.26 mm Hg at baseline to 23.79 ± 6.61 mm Hg (t = 2.531, p = 0.020) after treatment.

Conclusion: Sacubitril/valsartan effectively manages hypertension in hemodialysis patients and may also independently improve left ventricular hypertrophy and systolic function, regardless of changes in the blood pressure or the volume load.

Introduction: The Anemia Control Model (ACM) is a certified medical device suggesting the optimal ESA and iron dosage for patients on hemodialysis. We sought to assess the effectiveness and safety of ACM in a large cohort of hemodialysis patients.

Methods: This is a retrospective study of dialysis patients treated in NephroCare centers between June 1, 2013 and December 31, 2019. We compared patients treated according to ACM suggestions and patients treated in clinics where ACM was not activated. We stratified patients belonging to the reference group by historical target achievement rates in their referral centers (tier 1: <70%; tier 2: 70-80%; tier 3: >80%). Groups were matched by propensity score.

Results: After matching, we obtained four groups with 85,512 patient-months each. ACM had 18% higher target achievement rate, 63% smaller inappropriate ESA administration rate, and 59% smaller severe anemia risk compared to Tier 1 centers (all p < 0.01). The corresponding risk ratios for ACM compared to Tier 2 centers were 1.08 (95% CI: 1.08-1.09), 0.49 (95% CI: 0.47-0.51), and 0.64 (95% CI: 0.61-0.68); for ACM compared to Tier 3 centers, 1.01 (95% CI: 1.01-1.02), 0.66 (95% CI: 0.63-0.69), and 0.94 (95% CI: 0.88-1.00), respectively. ACM was associated with statistically significant reductions in ESA dose administration.

Conclusion: ACM was associated with increased hemoglobin target achievement rate, decreased inappropriate ESA usage and a decreased incidence of severe anemia among patients treated according to ACM suggestion.

Introduction: Low cardiac output and hypovolemia are candidate macrocirculatory mechanisms explanatory of de novo anuria in intensive care unit (ICU) patients undergoing continuous renal replacement therapy (CRRT). We aimed to determine the hemodynamic parameters and CRRT settings associated with the longitudinal course of UO during CRRT.

Methods: This is an ancillary analysis of the PRELOAD CRRT observational, single-center study (NCT03139123). Enrolled adult patients had severe acute kidney injury treated with CRRT for less than 24 h and were monitored with a calibrated continuous cardiac output monitoring device. Hemodynamics (including stroke volume index [SVI] and preload-dependence, identified by continuous cardiac index variation during postural maneuvers), net ultrafiltration (UFNET), and UO were reported 4-hourly, over 7 days. Two study groups were defined at inclusion: non-anuric participants if the cumulative 24 h UO at inclusion was ≥0.05 mL kg-1 h-1, and anuric otherwise. Quantitative data were reported by its median [interquartile range].

Results: Forty-two patients (age 68 [58-76] years) were enrolled. At inclusion, 32 patients (76%) were not anuric. During follow-up, UO decreased significantly in non-anuric patients, with 25/32 (78%) progressing to anuria within 19 [10-50] hours. Mean arterial pressure (MAP) and UFNET did not significantly differ between study groups during follow-up, while SVI and preload-dependence were significantly associated with the interaction of study group and time since inclusion. Higher UFNET flow rates were significantly associated with higher systemic vascular resistances and lower cardiac output during follow-up. Multivariate analyses showed that (1) lower UO was significantly associated with lower SVI, lower MAP, and preload-independence; and (2) higher UFNET was significantly associated with lower UO.

Conclusions: In ICU patients treated with CRRT, those without anuria showed a rapid loss of diuresis after CRRT initiation. Hemodynamic indicators of renal perfusion and effective volemia were the principal determinants of UO during follow-up, in relation with the hemodynamic impact of UFNET setting.

Therapeutic plasma exchange (TPE) or plasmapheresis has been used in various life-threatening diseases as a primary treatment or in combination with other therapies. It was first successfully employed in the 1960s for diseases like Waldenström's disease and myeloma. Since then, TPE techniques using apheresis membranes have been introduced. Apheresis therapies separate plasma components from blood using membrane screening or centrifugation methods. TPE aims to remove substances involved in the pathophysiology of diseases. It selectively removes high-molecular-weight molecules, substances with prolonged half-life, and those associated with disease pathogenesis. TPE can be performed using membranes or centrifugation, with replacement of extracted plasma volume using albumin or fresh frozen plasma. TPE requires specific competencies in nephrology and can be prescribed and monitored by nephrologists and performed by dialysis nursing staff. TPE can be combined with adsorption-based therapies to enhance its effect, and this approach is called plasma filtration adsorption. Another variation is double plasma filtration, which selectively removes substances based on molecular size. TPE can also be combined with lipoprotein removal strategies for managing familial hypercholesterolemia. TPE is an affordable extracorporeal therapy that benefits patients with life-threatening diseases. It requires collaboration between nephrologists and other specialists, and our results demonstrate successful TPE without anticoagulation in general hospitalization or outpatient settings.

Introduction: Renal injury is among the leading causes of morbidity and mortality; however, there are no reliable indicators for determining the likelihood of developing chronic kidney disease (CKD), CKD progression, or AKI events. Vascular growth factors called angiopoietins have a role in endothelial function, vascular remodeling, tissue stabilization, and inflammation and have been implicated as prognostic and predictive markers in AKI.

Methods: Although the exact mechanism of the relationship between kidney injury and angiopoietins is unknown, this review demonstrates that AKI patients have higher angiopoietin-2 levels and that higher angiopoietin-1 to angiopoietin-2 ratio may potentially be linked with a reduced risk of the CKD progression.

Results: This review therefore emphasizes the importance of angiopoietin-2 and proposes that it could be an important predictor of AKI in clinical settings.

Conclusion: There is a need for further large-scale randomized clinical trials in order to have a better understanding of the significance of angiopoietin-2 and for the determination of its potential clinical implications.

Introduction: Insufficient withdrawal duration of antithrombotics leads to excessive bleeding after major surgery. We hypothesize that intraoperative hemoadsorption (HA) can reduce postoperative allogeneic transfusion requirements and excessive bleeding events (EBE), without an increase in ischemic/thromboembolic events (ITE) in patients who have taken antithrombotics and undergone nonelective cardiac surgery.

Methods: A total of 460 patients admitted to our hospital from 2018 to 2022 were included in this study and divided into two groups: HA and non-HA. Because of the risk of bias due to differences in antithrombotic type, withdrawal duration, or basic coagulation function, propensity score matching was used for analyses.

Results: Out of 154 cases in the HA group, 144 pairs were successfully matched. No HA safety events such as hemolysis, hypotension, or device failure occurred. After matching, the two groups were found to be comparable in preoperative antithrombotic type, withdrawal duration, platelets and coagulation function, and demographic and perioperative characteristics. Although the HA group did not have a reduced incidence of EBE, this group exhibited significant decreases in the transfusion rate and volume, the incidence of ITE, acute kidney injury, and central nervous system injury.

Conclusions: For patients who have undergone nonelective cardiac surgery and taken antithrombotics, HA can simply and safely rebalance the postoperative coagulation system and have associations with reduced transfusion and postoperative ITE.

Introduction: Chronic kidney disease-associated pruritus (CKD-aP) frequently occurs in patients with end-stage renal disease (ESRD) undergoing peritoneal dialysis (PD) and presents a therapeutic challenge to physicians owing to the diversity of its pathogenesis. Herein, we developed and validated a nomogram model for individualized risk estimation of CKD-aP and investigated the possible causes of CKD-aP in PD patients.

Methods: We retrospectively screened patients with CKD-aP who underwent PD between 2021 and 2023 at the First Affiliated Hospital of Xi'an Jiaotong University Peritoneal Dialysis Center. Nomograms for each outcome were computed from multivariate logistic regression models with the least absolute shrinkage and selection operator regression and univariate logistic regression for variable selection. The discriminative ability was estimated by Harrell's C-index, and the accuracy was assessed graphically with a calibration curve plot. Models were validated internally using bootstrapping and externally by calculating their performance on a validation cohort. Decision curve analysis was used to assess the model's clinical usefulness.

Results: In all, a total of 487 patients were entered in the analysis, including 325 in the development cohort and 162 in the validation cohort. The final nomogram incorporated five variables: age, interleukin-6, hemoglobin, residual urine volume, and renal Kt/V. The C-index of the model was 0.733 (95% CI: 0.679-0.787), and the calibration curve was a straight line with a slope close to 1. Both internal and external validations confirmed the model's good performance, with C-index of 0.725 (95% CI: 0.662-0.774) and 0.706 (95% CI: 0.623-0.789), respectively. Decision curve analysis showed that the nomogram had good clinical benefits.

Conclusion: Our study proposes a nomogram model for CKD-aP risk assessment in ESRD patients with PD. This nomogram might help in clinical decision-making and evidence-based selection of therapy.