Blood Purification最新文献

{"title":"Application of Hemoperfusion in the Treatment of Acute Poisoning.","authors":"Jianting Ke, Yuting Wei, Binhuan Chen","doi":"10.1159/000532050","DOIUrl":"10.1159/000532050","url":null,"abstract":"<p><p>Rescue of acute poisoning is a race against time, and it is particularly important to remove toxic substances in time. Traditional methods include gastric lavage, promoting elimination, chelating agents, and other treatments. Hemoperfusion is a common blood purification technique. In the clinical practice of acute poisoning, hemoperfusion can directly remove toxic substances through its unique adsorption effect, showing its excellent efficacy. This paper reviews the experience of hemoperfusion in the treatment of various drug overdoses, pesticides, biological toxins, and industrial poisons, even drug addiction. It is hoped to provide a reference for clinicians in acute poisoning rescue.</p>","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"49-60"},"PeriodicalIF":3.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71420370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Endotoxemia Correlates with Kidney Function and Length of Stay in Critically Ill Patients.","authors":"Sian E Piret, Sobia Khan, Fabliha Fairuz, Samaneh Gholami, Merin Davis, Chang Kyung Kim, Melissa Espinoza, Debra Foster, John A Kellum, Sahar Ahmad, Andreas P Kalogeropoulos, Sandeep K Mallipattu","doi":"10.1159/000534107","DOIUrl":"10.1159/000534107","url":null,"abstract":"<p><strong>Introduction: </strong>Endotoxin is a key driver of sepsis, which frequently causes acute kidney injury (AKI). However, endotoxins may also be found in non-bacteremic critically ill patients, likely from intestinal translocation. Preclinical models show that endotoxins can directly injure the kidneys, and in COVID-19 patients, endotoxemia correlated with AKI. We sought to determine correlations between endotoxemia and kidney and hospital outcomes in a broad group of critically ill patients.</p><p><strong>Methods: </strong>In this single-center, serial prospective study, 124 predominantly Caucasian adult patients were recruited within 48 h of admission to Stony Brook University Hospital Intensive Care Unit (ICU). Demographics, vital signs, laboratory data, and outcomes were collected. Circulating endotoxin was measured on days 1, 4, and 8 using the endotoxin activity assay (EAA). The association of EAA with outcomes was examined with EAA: (1) categorized as &lt;0.6, ≥0.6, and nonresponders (NRs); and (2) used as a continuous variable.</p><p><strong>Results: </strong>Patients with EAA ≥0.6 had a higher prevalence of proteinuria, and lower arterial oxygen saturation (SaO2) to fraction of inspired oxygen (FiO2) (SaO2/FiO2) ratio versus patients with EAA &lt;0.6. EAA levels positively correlated with serum creatinine (sCr) levels on day 1. Patients whose EAA level stayed ≥0.6 had a slower decline in sCr compared to those whose EAA started at ≥0.6 and subsequently declined. Patients with AKI stage 1 and EAA ≥0.6 on day 1 showed slower decline in sCr compared to patients with stage 1 AKI and EAA &lt;0.6. EAA ≥0.6 and NR patients had longer hospital stay and delayed ICU discharge versus EAA &lt;0.6.</p><p><strong>Conclusions: </strong>High EAA levels correlated with worse kidney function and outcomes. Patients whose EAA levels fell, and those with AKI stage I and day 1 EAA &lt;0.6 recovered more quickly compared to those with EAA ≥0.6, suggesting that removal of circulating endotoxins may be beneficial in critically ill patients.</p>","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"30-39"},"PeriodicalIF":3.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71420373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mind the Gap in Kidney Care: Translating What We Know into What We Do.","authors":"Valerie A Luyckx, Katherine R Tuttle, Dina Abdellatif, Ricardo Correa-Rotter, Winston W S Fung, Agnès Haris, Li-Li Hsiao, Makram Khalife, Latha A Kumaraswami, Fiona Loud, Vasundhara Raghavan, Stefanos Roumeliotis, Marianella Sierra, Ifeoma Ulasi, Bill Wang, Siu-Fai Lui, Vassilios Liakopoulos, Alessandro Balducci","doi":"10.1159/000539071","DOIUrl":"10.1159/000539071","url":null,"abstract":"","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"691-703"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11397411/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140955864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coagulation Risk Predicting in Anticoagulant-Free Continuous Renal Replacement Therapy.","authors":"Liang Liu, Dashuang Liu, Ting He, Bo Liang, Jinghong Zhao","doi":"10.1159/000540695","DOIUrl":"10.1159/000540695","url":null,"abstract":"<p><strong>Introduction: </strong>Continuous renal replacement therapy (CRRT) is a prolonged continuous extracorporeal blood purification therapy to replace impaired renal function. Typically, CRRT therapy requires routine anticoagulation, but for patients at risk of bleeding and with contraindications to sodium citrate, anticoagulant-free dialysis therapy is necessary. However, this approach increases the risk of CRRT circuit coagulation, leading to treatment interruption and increased resource consumption. In this study, we utilized artificial intelligence machine learning methods to predict the risk of CRRT circuit coagulation based on pre-CRRT treatment metrics.</p><p><strong>Methods: </strong>We retrospectively analyzed 212 patients who underwent anticoagulant-free CRRT from October 2022 to October 2023. Patients were categorized into high-risk and low-risk groups based on CRRT circuit coagulation within 24 h. We employed eight machine learning methods to predict the risk of circuit coagulation. The performance of the model was evaluated using the area under the curve (AUC) of the receiver operating characteristic. 5-fold cross-validation was used to validate the machine learning models. Feature importance and SHAP plots were used to interpret the model's performance and key drivers.</p><p><strong>Results: </strong>We identified 88 patients (41.51%) at high risk of circuit coagulation within 24 h of CRRT. Our machine learning models showed excellent predictive performance, with ensemble learning achieving an AUC of 0.863 (95% CI: 0.860-0.868), outperforming individual algorithms. Random forest was the best single-algorithm model, with an AUC of 0.819 (95% CI: 0.814-0.823). The top three features identified as most important by the SHAP summary plot and feature importance graph are platelet, filtration fraction (FF), and triglycerides.</p><p><strong>Conclusion: </strong>We created a model using machine learning to predict the risk of circuit coagulation during anticoagulant-free CRRT therapy. Our model performs well (AUC 0.863) and identifies key factors like platelets, FF, and triglycerides. This facilitates the development of personalized treatment strategies by clinicians aimed at reducing circuit coagulation risk, thereby enhancing patient outcomes and reducing healthcare expenses.</p>","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"916-927"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11633885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141970578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CaCl2-Citrate Regional Anticoagulation with Continuous Veno-Venous Haemodialysis Leads to Unwanted Chloride Loading Compared to Continuous Veno-Venous Hemofiltration with Systemic Anticoagulation.","authors":"Matthieu Chivot, Ian Baldwin, Guillaume Deniel, Guillaume David, Glenn M Eastwood, Jean-Christophe Richard, Rinaldo Bellomo, Laurent Bitker","doi":"10.1159/000541059","DOIUrl":"10.1159/000541059","url":null,"abstract":"<p><strong>Introduction: </strong>Chloride transfers during continuous renal replacement therapy (CRRT) have not been adequately described and may differ based on CRRT technique. We aimed to measure chloride mass transfer (JS,Cl) during CRRT and identify associated determinants.</p><p><strong>Methods: </strong>We performed a two-centre, prospective, observational study in France and Australia in ICU patients with CRRT initiated for <24 h. Patients received continuous veno-venous hemofiltration (CVVH) or continuous veno-venous haemodialysis (CVVHD, with citrate-CaCl2 regional anticoagulation). Over a 24 h period, plasma and effluent chloride concentrations were measured every 4 h to compute chloride mass transfer (JS,Cl, in mmol.min-1) using a modality-specific model, with negative value indicating chloride transfer towards the patient. Secondary outcomes were the identification of CRRT settings associated with JS,Cl (using multivariate mixed effects regression). Results are presented with median (interquartile range).</p><p><strong>Results: </strong>Between February 2021 and August 2022, we enrolled 37 patients (64 [56-71] years, 67% male), for a total of 20 CVVHD and 20 CVVH sessions. Over 24 h, plasma chloride concentrations were significantly higher, and JS,Cl significantly lower during CVVHD, compared to CVVH (-0.10 [-0.33 to 0.15] vs. 0.01 [-0.10 to 0.13] mmol.min-1, p < 0.05). With both modalities, net ultrafiltration (QUFNET) and plasma chloride concentrations were the principal determinants of JS,Cl, with higher QUFNET being associated with an increase in JS,Cl during CVVHD. Also, CVVHD sessions demonstrated a concentration gradient between the plasma and the effluent chamber of -6 [-9 to -4] mmol.L-1. Finally, CaCl2 reinjection during CVVHD accounted for 35% [32-60%] of total JS,Cl in sessions with a negative JS,Cl.</p><p><strong>Conclusion: </strong>Compared to CVVH, CVVHD with regional citrate anticoagulation was associated with greater chloride mass transfer to the patient and higher plasma chloride concentrations. This was due to high dialysate chloride concentrations and CaCl2 reinjection. This effect could only be controlled by high net ultrafiltration flow rates.</p>","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"893-903"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142104018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generative AI in Critical Care Nephrology: Applications and Future Prospects.","authors":"Wisit Cheungpasitporn, Charat Thongprayoon, Claudio Ronco, Kianoush B Kashani","doi":"10.1159/000541168","DOIUrl":"10.1159/000541168","url":null,"abstract":"<p><strong>Background: </strong>Generative artificial intelligence (AI) is rapidly transforming various aspects of healthcare, including critical care nephrology. Large language models (LLMs), a key technology in generative AI, show promise in enhancing patient care, streamlining workflows, and advancing research in this field.</p><p><strong>Summary: </strong>This review analyzes the current applications and future prospects of generative AI in critical care nephrology. Recent studies demonstrate the capabilities of LLMs in diagnostic accuracy, clinical reasoning, and continuous renal replacement therapy (CRRT) alarm troubleshooting. As we enter an era of multiagent models and automation, the integration of generative AI into critical care nephrology holds promise for improving patient care, optimizing clinical processes, and accelerating research. However, careful consideration of ethical implications and continued refinement of these technologies are essential for their responsible implementation in clinical practice. This review explores the current and potential applications of generative AI in nephrology, focusing on clinical decision support, patient education, research, and medical education. Additionally, we examine the challenges and limitations of AI implementation, such as privacy concerns, potential bias, and the necessity for human oversight.</p><p><strong>Key messages: </strong>(i) LLMs have shown potential in enhancing diagnostic accuracy, clinical reasoning, and CRRT alarm troubleshooting in critical care nephrology. (ii) Generative AI offers promising applications in patient education, literature review, and academic writing within the field of nephrology. (iii) The integration of AI into electronic health records and clinical workflows presents both opportunities and challenges for improving patient care and research. (iv) Addressing ethical concerns, ensuring data privacy, and maintaining human oversight are crucial for the responsible implementation of AI in critical care nephrology.</p>","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"871-883"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142104019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nomogram to Estimate the Risk of Chronic Kidney Disease-Associated Pruritus in Patients with End-Stage Renal Disease Undergoing Peritoneal Dialysis: Model Development and Validation Study.","authors":"Wen Gu, Ming Zhang, Changna Liang, Shaohui Ma, Xiaopei Wang, Huijie Yuan, Zhaoyao Luo, Jing Lv","doi":"10.1159/000539786","DOIUrl":"10.1159/000539786","url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"755-767"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11397407/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141431305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Treatment with Sacubitril/Valsartan Effectively Manages Hypertension and Ameliorates Left Ventricular Hypertrophy in Hemodialysis Patients.","authors":"Nan Hu, Nan Lv, Yuqing Chen","doi":"10.1159/000538899","DOIUrl":"10.1159/000538899","url":null,"abstract":"<p><strong>Introduction: </strong>The aim of this study was to investigate the role of sacubitril/valsartan in managing hypertension and cardiac remodeling in patients undergoing hemodialysis.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"657-664"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141199206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of Urine Output Using Advanced Hemodynamic Monitoring in Critically Ill Patients Undergoing Continuous Renal Replacement Therapy.","authors":"Laurent Bitker, Charlotte Biscarrat, Hodane Yonis, Matthieu Chivot, Louis Chauvelot, Guillaume Chazot, Mehdi Mezidi, Guillaume Deniel, Jean-Christophe Richard","doi":"10.1159/000535544","DOIUrl":"10.1159/000535544","url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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].</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"189-199"},"PeriodicalIF":3.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138797441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Divide et Vinces, Therapeutic Apheresis in Nephrological Clinical Practice.","authors":"Juliana Mantilla, Danna Peña, Alejandra Molano-Triviño, Eduardo Zúñiga, Juan Camilo Castellanos-De La Hoz","doi":"10.1159/000534455","DOIUrl":"10.1159/000534455","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"162-169"},"PeriodicalIF":3.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138797442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}