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Ma N, Zang Z, Liu X, Zhang Y, Zhou X, Tang Y, Li Z. Higher N-terminal pro-brain natriuretic peptide level at onset of peritoneal dialysis-related peritonitis is a risk factor for technique failure. BMC Nephrol 2024; 25:168. [PMID: 38760707 PMCID: PMC11100099 DOI: 10.1186/s12882-024-03603-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 05/07/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Recent studies have suggested that the N-terminal fragment of B-type natriuretic peptide (NT-proBNP) level serve as a significant risk factor for mortality in patients with end-stage renal disease. However, the relationship between NT-proBNP levels and technique failure in peritoneal dialysis-associated peritonitis (PDAP) remains unclear. This study investigated the relationship between NT-proBNP levels at the onset of PDAP and the risk of technique failure in patients with PDAP. METHODS A retrospective analysis was conducted on patients with PDAP from December 1, 2009, to December 31, 2021, at our peritoneal dialysis center. We recorded all demographic and baseline clinical data at the time of admission for each PDAP episode. Logistic and Cox regression analyses were performed to assess the association between NT-proBNP levels and technique failure. RESULTS Of 485 PDAP episodes included in this study, 130 episodes of technique failure were observed. Multivariate logistic analysis revealed that hospital stay, Na and NT-proBNP levels, and peritoneal dialysate white blood cell counts on days 3 and 5 were independently associated with technique failure. The receiver operating characteristic curve demonstrated that the NT-proBNP level was a better indicator than the other four variables in indicating technique failure. In the multivariate Cox regression analysis, after adjusting for confounding factors, higher NT-proBNP levels (HR of 3.020, 95% CI 1.771, 5.150, P < 0.001) were associated with PDAP technique failure. CONCLUSIONS This retrospective study identified the serum NT-proBNP level at the onset of PDAP as an independent risk factor for technique failure in these patients.
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Affiliation(s)
- Niya Ma
- Department of Nephrology, West China Hospital of Sichuan University, Guoxue Lane 37, Chengdu, 610041, China
| | - Zhiyun Zang
- Department of Nephrology, West China Hospital of Sichuan University, Guoxue Lane 37, Chengdu, 610041, China
- Department of Nephrology, The Third People's Hospital of Chengdu, Chengdu, 610014, China
| | - Xia Liu
- Department of Nephrology, West China Hospital of Sichuan University, Guoxue Lane 37, Chengdu, 610041, China
- West China School of Nursing, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Yunyun Zhang
- Department of Nephrology, West China Hospital of Sichuan University, Guoxue Lane 37, Chengdu, 610041, China
| | - Xueli Zhou
- Department of Nephrology, West China Hospital of Sichuan University, Guoxue Lane 37, Chengdu, 610041, China
- West China School of Nursing, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Yi Tang
- Department of Nephrology, West China Hospital of Sichuan University, Guoxue Lane 37, Chengdu, 610041, China
| | - Zi Li
- Department of Nephrology, West China Hospital of Sichuan University, Guoxue Lane 37, Chengdu, 610041, China.
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2
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Inoue H, Oya M, Aizawa M, Wagatsuma K, Kamimae M, Kashiwagi Y, Ishii M, Wakabayashi H, Fujii T, Suzuki S, Hattori N, Tatsumoto N, Kawakami E, Asanuma K. Predicting dry weight change in Hemodialysis patients using machine learning. BMC Nephrol 2023; 24:196. [PMID: 37386392 PMCID: PMC10308746 DOI: 10.1186/s12882-023-03248-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 06/19/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Machine Learning has been increasingly used in the medical field, including managing patients undergoing hemodialysis. The random forest classifier is a Machine Learning method that can generate high accuracy and interpretability in the data analysis of various diseases. We attempted to apply Machine Learning to adjust dry weight, the appropriate volume status of patients undergoing hemodialysis, which requires a complex decision-making process considering multiple indicators and the patient's physical conditions. METHODS All medical data and 69,375 dialysis records of 314 Asian patients undergoing hemodialysis at a single dialysis center in Japan between July 2018 and April 2020 were collected from the electronic medical record system. Using the random forest classifier, we developed models to predict the probabilities of adjusting the dry weight at each dialysis session. RESULTS The areas under the receiver-operating-characteristic curves of the models for adjusting the dry weight upward and downward were 0.70 and 0.74, respectively. The average probability of upward adjustment of the dry weight had sharp a peak around the actual change over time, while the average probability of downward adjustment of the dry weight formed a gradual peak. Feature importance analysis revealed that median blood pressure decline was a strong predictor for adjusting the dry weight upward. In contrast, elevated serum levels of C-reactive protein and hypoalbuminemia were important indicators for adjusting the dry weight downward. CONCLUSIONS The random forest classifier should provide a helpful guide to predict the optimal changes to the dry weight with relative accuracy and may be useful in clinical practice.
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Affiliation(s)
- Hiroko Inoue
- Department of Nephrology, Graduate School of Medicine, Chiba University, Chuo-ku, Chiba, Japan
| | - Megumi Oya
- Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chuo- ku, Chiba, Japan
- Advanced Data Science Project (ADSP), RIKEN Information R&D and Strategy Headquarters, RIKEN, Yokohama, Kanagawa, Japan
| | - Masashi Aizawa
- Department of Nephrology, Graduate School of Medicine, Chiba University, Chuo-ku, Chiba, Japan
| | - Kyogo Wagatsuma
- Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chuo- ku, Chiba, Japan
- Advanced Data Science Project (ADSP), RIKEN Information R&D and Strategy Headquarters, RIKEN, Yokohama, Kanagawa, Japan
| | - Masatomo Kamimae
- Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chuo- ku, Chiba, Japan
- Advanced Data Science Project (ADSP), RIKEN Information R&D and Strategy Headquarters, RIKEN, Yokohama, Kanagawa, Japan
| | - Yusuke Kashiwagi
- Department of Nephrology, Graduate School of Medicine, Chiba University, Chuo-ku, Chiba, Japan
| | - Masayoshi Ishii
- Department of Nephrology, Graduate School of Medicine, Chiba University, Chuo-ku, Chiba, Japan
- Department of Artificial Kidney, Chiba University Hospital, Chuo-ku, Chiba, Japan
| | - Hanae Wakabayashi
- Department of Nephrology, Graduate School of Medicine, Chiba University, Chuo-ku, Chiba, Japan
- Department of Artificial Kidney, Chiba University Hospital, Chuo-ku, Chiba, Japan
| | - Takayuki Fujii
- Department of Nephrology, Seirei Sakura Citizen hospital, Sakura, Chiba, Japan
| | - Satoshi Suzuki
- Department of Nephrology, Seirei Sakura Citizen hospital, Sakura, Chiba, Japan
| | - Noriyuki Hattori
- Department of Artificial Kidney, Chiba University Hospital, Chuo-ku, Chiba, Japan
- Department of Emergency and Critical Care Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Narihito Tatsumoto
- Department of Nephrology, Graduate School of Medicine, Chiba University, Chuo-ku, Chiba, Japan
| | - Eiryo Kawakami
- Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chuo- ku, Chiba, Japan.
- Advanced Data Science Project (ADSP), RIKEN Information R&D and Strategy Headquarters, RIKEN, Yokohama, Kanagawa, Japan.
| | - Katsuhiko Asanuma
- Department of Nephrology, Graduate School of Medicine, Chiba University, Chuo-ku, Chiba, Japan.
- Department of Artificial Kidney, Chiba University Hospital, Chuo-ku, Chiba, Japan.
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3
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Risnes I, Aukrust P, Lundblad R, Rødevand O, Ueland T, Rynning SE, Saeed S. Increased levels of NT-proBNP and troponin T 2 years after coronary artery bypass grafting complicated by mediastinitis. Front Cardiovasc Med 2023; 10:1008825. [PMID: 36824453 PMCID: PMC9941316 DOI: 10.3389/fcvm.2023.1008825] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 01/16/2023] [Indexed: 02/10/2023] Open
Abstract
Background Mediastinitis after coronary bypass grafting (CABG) increases the risk of the internal mammary artery (IMA) graft obstruction, and has a detrimental effect on long-term survival. The pathogenesis for this increased mortality is poorly understood. In the present study, we aimed to investigate the relationship between mediastinitis and persistently elevated cardiac-specific biomarkers [troponin T (TnT) and N-terminal pro-brain natriuretic peptide (NT-proBNP)] and C-reactive protein (CRP) at mid-term follow-up following CABG. Material and methods The epidemiologic design was of an exposed (mediastinitis, n = 41) vs. randomly selected non-exposed (non-mediastinitis) controls (n = 41) cohort. Serum samples for measurements of NT-proBNP, TnT, and CRP were obtained at a median follow up time of 2.7 (range 0.5-5.2) years after CABG surgery. Results NT-proBNP (mean 65.0 pg/ml vs. 34.8 pg/ml, p = 0.007) and TnT levels (mean 14.7 ng/L vs. 11.2 ng/L, p = 0.004) were significantly higher in the mediastinitis group than in the control group. Patients with mediastinitis had also higher body mass index (BMI) and were more likely to have diabetes and previous myocardial infarction. There was no difference in serum CRP level between the groups. After controlling for potential confounders (previous myocardial infarction, age, and BMI), the presence of mediastinitis was associated with higher levels of log NT-proBNP (p = 0.02) and log TnT (p = 0.04). Conclusion Mediastinitis increases the concentrations of cardiac-specific biomarkers NT-proBNP and TnT at mid-term follow-up, representing persistent myocardial injury and impaired cardiac function.
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Affiliation(s)
- Ivar Risnes
- Department of Cardiac Surgery, LHL Heart Clinic, Gardermoen, Norway,Department of Thoracic and Cardiovascular Surgery, Oslo University Hospital, Rikshospitalet, Oslo, Norway,Department of Heart Disease, Haukeland University Hospital, Bergen, Norway,*Correspondence: Ivar Risnes ✉
| | - Pål Aukrust
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway,Section of Clinical Immunology and Infectious Diseases, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Runar Lundblad
- Department of Cardiac Surgery, LHL Heart Clinic, Gardermoen, Norway,Department of Thoracic and Cardiovascular Surgery, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Olaf Rødevand
- Department of Cardiac Surgery, LHL Heart Clinic, Gardermoen, Norway
| | - Thor Ueland
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Stein Erik Rynning
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Sahrai Saeed
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
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Nyberg M, Terzic D, Ludvigsen TP, Mark PD, Michaelsen NB, Abildstrøm SZ, Engelmann M, Richards AM, Goetze JP. Review A State of Natriuretic Peptide Deficiency. Endocr Rev 2022; 44:379-392. [PMID: 36346821 PMCID: PMC10166265 DOI: 10.1210/endrev/bnac029] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/13/2022] [Accepted: 11/04/2022] [Indexed: 11/10/2022]
Abstract
Measurement of natriuretic peptides (NPs) has proven its clinical value as biomarker, especially in the context of heart failure (HF). In contrast, a state partial NP deficiency appears integral to several conditions in which lower NP concentrations in plasma presage overt cardiometabolic disease. Here, obesity and type 2 diabetes have attracted considerable attention. Other factors - including age, sex, race, genetics, and diurnal regulation - affect the NP "armory" and may leave some individuals more prone to development of cardiovascular disease. The molecular maturation of NPs has also proven complex with highly variable O-glycosylation within the biosynthetic precursors. The relevance of this regulatory step in post-translational propeptide maturation has recently become recognized in biomarker measurement/interpretation and cardiovascular pathophysiology. An important proportion of people appear to have reduced effective net NP bioactivity in terms of receptor activation and physiological effects. The state of NP deficiency, then, both entails a potential for further biomarker development and could also offer novel pharmacological possibilities. Alleviating the state of NP deficiency before development of overt cardiometabolic disease in selected patients could be a future path for improving precision medicine.
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Affiliation(s)
| | - Dijana Terzic
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | - Peter D Mark
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | | | | | - A Mark Richards
- Division of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Jens P Goetze
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Biomedical Sciences, Faculty of Health, Copenhagen University, Copenhagen, Denmark
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5
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Garoufi A, Koumparelou A, Askiti V, Lykoudis P, Mitsioni A, Drapanioti S, Servos G, Papadaki M, Gourgiotis D, Marmarinos A. Plasma Brain Natriuretic Peptide Levels in Children with Chronic Kidney Disease and Renal Transplant Recipients: A Single Center Study. CHILDREN 2022; 9:children9060916. [PMID: 35740855 PMCID: PMC9222167 DOI: 10.3390/children9060916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 06/15/2022] [Accepted: 06/17/2022] [Indexed: 11/18/2022]
Abstract
Pediatric chronic kidney disease (CKD) patients, as well as kidney transplant patients, are at an increased risk of developing cardiovascular disease. BNP measurement, as a biomarker of cardiovascular risk, has been recommended to this high-risk population. Plasma BNP levels were measured in 56 CKD children in either pre-dialysis stage, hemodialysis (HD) or renal transplant recipients (RTRs) and in 76 sex- and age-matched healthy controls. BNP levels were investigated in HD children, before and after the completion of their HD session. BNP levels in total CKD population, in pre-dialysis stage patients and on HD were significantly higher, compared to the respective controls. HD children had higher BNP levels compared to CKD patients in the pre-dialysis stage. Moreover, post-HD BNP concentration was slightly higher than pre-HD, with the difference being marginally statistically significant. BNP was positively correlated with eGFR, creatinine, cystatin-C and parathormone and negatively with albumin and 25-hydroxyvitamin D. A positive correlation between BNP concentration and the ratio of E/A in pulse-wave Doppler echocardiography was also observed. In conclusion, CKD pediatric patients, mainly those undergoing HD, have high plasma BNP levels which do not decrease after the HD session. This is indicative of a greater risk for future cardiovascular disease.
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Affiliation(s)
- Anastasia Garoufi
- Lipid Outpatient Unit, 2nd Department of Pediatrics, Medical School, National and Kapodistrian University of Athens (NKUA), “P. & A. Kyriakou” Children’s Hospital, Thivon & Levadias Str., 11527 Athens, Greece; (A.G.); (S.D.); (M.P.)
| | - Aikaterini Koumparelou
- 2nd Department of Pediatrics, “P. & A. Kyriakou” Children’s Hospital, 11527 Athens, Greece;
| | - Varvara Askiti
- Department of Nephrology, “P. & A. Kyriakou” Children’s Hospital, 11527 Athens, Greece; (V.A.); (A.M.)
| | - Panagis Lykoudis
- Honorary Lectures Division of Surgery of International Science, University of College London (UCL), Gower St, London WC1E 6BT, UK;
| | - Andromachi Mitsioni
- Department of Nephrology, “P. & A. Kyriakou” Children’s Hospital, 11527 Athens, Greece; (V.A.); (A.M.)
| | - Styliani Drapanioti
- Lipid Outpatient Unit, 2nd Department of Pediatrics, Medical School, National and Kapodistrian University of Athens (NKUA), “P. & A. Kyriakou” Children’s Hospital, Thivon & Levadias Str., 11527 Athens, Greece; (A.G.); (S.D.); (M.P.)
| | - Georgios Servos
- Pediatric Cardiology Unit, “P. & A. Kyriakou” Children’s Hospital, 11527 Athens, Greece;
| | - Maria Papadaki
- Lipid Outpatient Unit, 2nd Department of Pediatrics, Medical School, National and Kapodistrian University of Athens (NKUA), “P. & A. Kyriakou” Children’s Hospital, Thivon & Levadias Str., 11527 Athens, Greece; (A.G.); (S.D.); (M.P.)
| | - Dimitrios Gourgiotis
- Laboratory of Clinical Biochemistry—Molecular Diagnostic, 2nd Department of Pediatrics, Medical School, NKUA, “P. & A. Kyriakou” Children’s Hospital, 24 Mesogeion Avn, 11527 Athens, Greece;
| | - Antonios Marmarinos
- Laboratory of Clinical Biochemistry—Molecular Diagnostic, 2nd Department of Pediatrics, Medical School, NKUA, “P. & A. Kyriakou” Children’s Hospital, 24 Mesogeion Avn, 11527 Athens, Greece;
- Correspondence:
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6
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Wang Y, Cao X, Yu J, Zhang Y, Li X, Chen X, Zou J, Shen B, Ding X. Association of N-Terminal Pro-brain Natriuretic Peptide With Volume Status and Cardiac Function in Hemodialysis Patients. Front Cardiovasc Med 2021; 8:646402. [PMID: 33693039 PMCID: PMC7937607 DOI: 10.3389/fcvm.2021.646402] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 02/01/2021] [Indexed: 12/16/2022] Open
Abstract
Introduction: N-terminal-pro-brain natriuretic peptide (NT-pro BNP) is secreted by cardiomyocytes in cases of cardiac structure disorder and volume overload. However, the relationship between NT-pro BNP level and body fluid status in dialysis patients with reduced cardiac ejection function (EF) is uncertain. Therefore, we aimed to investigate this relationship. Methods: We enrolled patients who had been receiving hemodialysis for >3 months. Blood sample, transthoracic echocardiographic, and bioimpedance spectroscopy measurements were performed during a midweek non-dialysis day. The predictive value of NT-pro BNP in hemodialysis patients with volume overload was analyzed. Results: A total of 129 hemodialysis patients (74 men and 55 women; mean age: 59.4 ± 13.0 years) were recruited. The average hemodialysis duration was 55.5 (23.9–93.4) months, the NT-pro BNP level was 4992 (2,033–15,807) pg/mL, and the value of overhydration was 2.68 ± 0.19 (−1.9 to 12.2) L. The NT-pro BNP level was independently correlated with overhydration in both the LVEF ≥ 60% (β = 0.236, P = 0.044) and LVEF <60% (β = 0.516, P = 0.032) groups, even after adjustments for potentially confounding variables. In receiver operating characteristic curves of NT-pro BNP for predicting volume overload, the area under the curve was 0.783 [95% CI (0.688–0.879), P < 0.001) and 0.788 [95% CI (0.586–0.989), P < 0.001] in the LVEF ≥ 60% and LVEF < 60% groups, respectively. Conclusions: NT-pro BNP is a predictive factor for volume overload in hemodialysis patients with or without EF declines.
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Affiliation(s)
- Yaqiong Wang
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Center of Kidney, Shanghai, China.,Department of Nephrology, Shanghai Institute of Kidney and Dialysis, Shanghai, China.,Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China.,Hemodialysis Quality Control Center of Shanghai, Shanghai, China
| | - Xuesen Cao
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Center of Kidney, Shanghai, China.,Department of Nephrology, Shanghai Institute of Kidney and Dialysis, Shanghai, China.,Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China.,Hemodialysis Quality Control Center of Shanghai, Shanghai, China
| | - Jinbo Yu
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Center of Kidney, Shanghai, China.,Department of Nephrology, Shanghai Institute of Kidney and Dialysis, Shanghai, China.,Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China.,Hemodialysis Quality Control Center of Shanghai, Shanghai, China
| | - Yongmei Zhang
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Center of Kidney, Shanghai, China.,Department of Nephrology, Shanghai Institute of Kidney and Dialysis, Shanghai, China.,Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China.,Hemodialysis Quality Control Center of Shanghai, Shanghai, China
| | - Xianzhe Li
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Center of Kidney, Shanghai, China.,Department of Nephrology, Shanghai Institute of Kidney and Dialysis, Shanghai, China.,Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China.,Hemodialysis Quality Control Center of Shanghai, Shanghai, China
| | - Xiaohong Chen
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Center of Kidney, Shanghai, China.,Department of Nephrology, Shanghai Institute of Kidney and Dialysis, Shanghai, China.,Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China.,Hemodialysis Quality Control Center of Shanghai, Shanghai, China
| | - Jianzhou Zou
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Center of Kidney, Shanghai, China.,Department of Nephrology, Shanghai Institute of Kidney and Dialysis, Shanghai, China.,Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China.,Hemodialysis Quality Control Center of Shanghai, Shanghai, China
| | - Bo Shen
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Center of Kidney, Shanghai, China.,Department of Nephrology, Shanghai Institute of Kidney and Dialysis, Shanghai, China.,Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China.,Hemodialysis Quality Control Center of Shanghai, Shanghai, China
| | - Xiaoqiang Ding
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Center of Kidney, Shanghai, China.,Department of Nephrology, Shanghai Institute of Kidney and Dialysis, Shanghai, China.,Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China.,Hemodialysis Quality Control Center of Shanghai, Shanghai, China
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