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Cordeiro L, Ishikawa WY, Andreoli MCC, Canziani MEF, Araujo LKRP, Pereira BJ, Abensur H, Moysés RMA, Elias RM. A randomized clinical trial to evaluate the effects of icodextrin on left ventricular mass index in peritoneal dialysis. Sci Rep 2022; 12:15776. [PMID: 36138087 PMCID: PMC9500040 DOI: 10.1038/s41598-022-20157-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 09/09/2022] [Indexed: 11/18/2022] Open
Abstract
Left ventricular hypertrophy is a risk factor for cardiovascular mortality in patients on peritoneal dialysis (PD). Because icodextrin has a greater ultrafiltration power compared with glucose-based solutions for long dwell, it could improve left ventricular mass by reducing fluid overload. This was a randomized clinical trial that included patients on PD recruited from 2 teaching hospitals, in Sao Paulo—Brazil. Patients were allocated to the control glucose group (GLU) or the intervention icodextrin (ICO) group. Clinical and cardiac magnetic resonance image (MRI) parameters were evaluated at baseline and 6 months after randomization. The primary outcome was the change in left ventricular mass adjusted by surface area (ΔLVMI), measured by cardiac MRI. A total of 22 patients completed the study (GLU, N = 12 and ICO, N = 10). Baseline characteristics such as age, sex, underlying disease, and time on dialysis were similar in both groups. At baseline, 17 patients (77.3%) presented with left ventricular hypertrophy with no difference between groups (p = 0.748). According to the total body water (TBW)/extracellular water (ECW) ratio, 36.8% and 80% of patients from GLU and ICO groups, respectively, were considered hypervolemic (p = 0.044). During follow-up, ΔLVMI was 3.9 g/m (− 10.7, 2.2) in GLU and 5.2 (− 26.8, 16.8) in ICO group (p = 0.651). ΔLVMI correlated with change in brain natriuretic peptide (r = 0.566, p = 0.044), which remained significant in a multiple regression analysis. The use of the icodextrin-based solution in prevalent patients on PD compared with a glucose-based solution was not able to improve LMV. A larger randomized trial with a longer follow-up period may be needed to show changes in LVM in this patient population. Trial registration: this study has been registered at ReBEC (Registro Brasileiro de Ensaios Clinicos) under the identification #RBR-2mzhmj2, available at: https://ensaiosclinicos.gov.br/pesquisador.
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Affiliation(s)
- Lilian Cordeiro
- Hospital das Clínicas HCFMUSP, Universidade de São Paulo, Rua Dr. Enéas de Carvalho Aguiar 255, 7º andar, São Paulo, SP, 05403-000, Brazil.
| | | | | | | | - Luiza Karla R P Araujo
- Hospital das Clínicas HCFMUSP, Universidade de São Paulo, Rua Dr. Enéas de Carvalho Aguiar 255, 7º andar, São Paulo, SP, 05403-000, Brazil
| | - Benedito J Pereira
- Hospital das Clínicas HCFMUSP, Universidade de São Paulo, Rua Dr. Enéas de Carvalho Aguiar 255, 7º andar, São Paulo, SP, 05403-000, Brazil.,Universidade Nove de Julho (UNINOVE), São Paulo, Brazil
| | - Hugo Abensur
- Hospital das Clínicas HCFMUSP, Universidade de São Paulo, Rua Dr. Enéas de Carvalho Aguiar 255, 7º andar, São Paulo, SP, 05403-000, Brazil
| | - Rosa M A Moysés
- Hospital das Clínicas HCFMUSP, Universidade de São Paulo, Rua Dr. Enéas de Carvalho Aguiar 255, 7º andar, São Paulo, SP, 05403-000, Brazil
| | - Rosilene M Elias
- Hospital das Clínicas HCFMUSP, Universidade de São Paulo, Rua Dr. Enéas de Carvalho Aguiar 255, 7º andar, São Paulo, SP, 05403-000, Brazil.,Universidade Nove de Julho (UNINOVE), São Paulo, Brazil
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Identifying the Association of Time-Averaged Serum Albumin Levels with Clinical Factors among Patients on Hemodialysis Using Whale Optimization Algorithm. MATHEMATICS 2022. [DOI: 10.3390/math10071030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Time-averaged serum albumin (TSA) is commonly associated with clinical outcomes in hemodialysis (HD) patients and considered as a surrogate indicator of nutritional status. The whale optimization algorithm-based feature selection (WOFS) model could address the complex association between the clinical factors, and could further combine with regression models for application. The present study aimed to demonstrate an optimal multifactor TSA-associated model, in order to interpret the complex association between TSA and clinical factors among HD patients. A total of 829 HD patients who met the inclusion criteria were selected for analysis. Monthly serum albumin data tracked from January 2009 to December 2013 were converted into TSA categories based on a critical value of 3.5 g/dL. Multivariate logistic regression was used to analyze the association between TSA categories and multiple clinical factors using three types of feature selection models, namely the fully adjusted, stepwise, and WOFS models. Five features, albumin, age, creatinine, potassium, and HD adequacy index (Kt/V level), were selected from fifteen clinical factors by the WOFS model, which is the minimum number of selected features required in multivariate regression models for optimal multifactor model construction. The WOFS model yielded the lowest Akaike information criterion (AIC) value, which indicated that the WOFS model could achieve superior performance in the multifactor analysis of TSA for HD patients. In conclusion, the application of the optimal multifactor TSA-associated model could facilitate nutritional status monitoring in HD patients.
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Zhu Y, Zhang D, Hu X, Liu H, Xu Y, Hou H, Peng Y, Lu Y, Liu X, Lu F. A longitudinal study of cardiac structure and function using echocardiography in patients undergoing peritoneal dialysis. BMC Nephrol 2021; 22:342. [PMID: 34656084 PMCID: PMC8520263 DOI: 10.1186/s12882-021-02535-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 09/20/2021] [Indexed: 11/12/2022] Open
Abstract
Background Peritoneal dialysis (PD) can be associated with abnormal cardiac structure and function and increased mortality risk. Therefore, in this study, we analyzed the cardiac structure and function dynamic changes using echocardiography during the first 2 years of PD therapy. We also assessed its associations with all-cause mortality risk after 2 years of follow-up. Methods End-stage renal disease (ESRD) patients that have started PD from 2011 to 2017, and had echocardiography at baseline and years 1 and 2, were included in this study. Echocardiographic parameters were compared between baseline and year 2. Multivariable Cox models were used to estimate the association between echocardiographic parameters changes and all-cause mortality risk. Results We finally enrolled 72 PD patients in this study. The mean right ventricular diameter (RVD) increased from baseline (18.31 mm) to year 1 (18.75 mm) and year 2 (19.65 mm). We also observed a significant decrease in cardiac output (CO) between baseline and year 2. Additionally, a slight decrease trend in ejection fraction (EF) was observed. Finally, every 1 % increase in RVD was associated with a 68.2 % higher mortality risk after dialysis (HR, 1.682; 95 % CI, 1.017–2.783). Conclusions Our results demonstrated a susceptibility for deteriorated right cardiac structure and function during the first 2 years of PD treatment. Also, higher all-cause mortality risk was observed after 2 years of PD. Altogether, these results highlighted the need for additional focus on regular echocardiographic examinations during long-term PD management. Trial registration The PD-CRISC cohort, registered with the Chinese Clinical Trial Registry (ChiCTR1900023565).
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Affiliation(s)
- Yunyun Zhu
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, China.,Department of Nephrology, Tongde Hospital of Zhejiang Province, No.234 Gucui Road, Zhejiang Province, Hangzhou, China
| | - Difei Zhang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, China.,Department of Nephrology, The Second Affiliated Hospital of Guangzhou, University of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China.,Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China
| | - Xiaoxuan Hu
- Department of Nephrology, The Second Affiliated Hospital of Guangzhou, University of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China.,Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China
| | - Hui Liu
- Department of Nephrology, The Second Affiliated Hospital of Guangzhou, University of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China.,Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China
| | - Yuan Xu
- Department of Nephrology, The Second Affiliated Hospital of Guangzhou, University of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China.,Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China
| | - Haijing Hou
- Department of Nephrology, The Second Affiliated Hospital of Guangzhou, University of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China.,Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China
| | - Yu Peng
- Department of Nephrology, The Second Affiliated Hospital of Guangzhou, University of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China.,Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China
| | - Ying Lu
- Department of Nephrology, Tongde Hospital of Zhejiang Province, No.234 Gucui Road, Zhejiang Province, Hangzhou, China
| | - Xusheng Liu
- Department of Nephrology, The Second Affiliated Hospital of Guangzhou, University of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China. .,Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China.
| | - Fuhua Lu
- Department of Nephrology, The Second Affiliated Hospital of Guangzhou, University of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China. .,Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, No.111 Dade Road, 510120, Guangzhou, China.
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Yang CH, Moi SH, Chuang LY, Chen JB. Higher-order clinical risk factor interaction analysis for overall mortality in maintenance hemodialysis patients. Ther Adv Chronic Dis 2020; 11:2040622320949060. [PMID: 33062235 PMCID: PMC7534064 DOI: 10.1177/2040622320949060] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 07/20/2020] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND AND AIMS In Taiwan, approximately 90% of patients with end-stage renal disease receive maintenance hemodialysis. Although studies have reported the survival predictability of multiclinical factors, the higher-order interactions among these factors have rarely been discussed. Conventional statistical approaches such as regression analysis are inadequate for detecting higher-order interactions. Therefore, this study integrated receiver operating characteristic, logistic regression, and balancing functions for adjusting the ratio in risk classes and classification errors for imbalanced cases and controls using multifactor-dimensionality reduction (MDR-ER) analyses to examine the impact of interaction effects between multiclinical factors on overall mortality in patients on maintenance hemodialysis. METERIALS AND METHODS In total, 781 patients who received outpatient hemodialysis dialysis three times per week before 1 January 2009 were included; their baseline clinical factor and mortality outcome data were retrospectively collected using an approved data protocol (201800595B0). RESULTS Consistent with conventional statistical approaches, the higher-order interaction model could indicate the impact of potential risk combination unique to patients on maintenance hemodialysis on the survival outcome, as described previously. Moreover, the MDR-based higher-order interaction model facilitated higher-order interaction effect detection among multiclinical factors and could determine more detailed mortality risk characteristics combinations. CONCLUSION Therefore, higher-order clinical risk interaction analysis is a reasonable strategy for detecting non-traditional risk factor interaction effects on survival outcome unique to patients on maintenance hemodialysis and thus clinically achieving whole-scale patient care.
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Affiliation(s)
- Cheng-Hong Yang
- Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung Ph.D. Program in Biomedical Engineering, Kaohsiung Medical University, Kaohsiung Drug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung
| | - Sin-Hua Moi
- Department of Chemical Engineering and Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung
| | - Li-Yeh Chuang
- Department of Chemical Engineering and Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung 84004
| | - Jin-Bor Chen
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, 123 DaPei Rd, Niao Song Dist, Kaohsiung 83301
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Goossen K, Becker M, Marshall MR, Bühn S, Breuing J, Firanek CA, Hess S, Nariai H, Sloand JA, Yao Q, Chang TI, Chen J, Paniagua R, Takatori Y, Wada J, Pieper D. Icodextrin Versus Glucose Solutions for the Once-Daily Long Dwell in Peritoneal Dialysis: An Enriched Systematic Review and Meta-analysis of Randomized Controlled Trials. Am J Kidney Dis 2020; 75:830-846. [PMID: 32033860 DOI: 10.1053/j.ajkd.2019.10.004] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 10/07/2019] [Indexed: 12/29/2022]
Abstract
RATIONALE & OBJECTIVE The efficacy and safety of icodextrin versus glucose-only peritoneal dialysis (PD) regimens is unclear. The aim of this study was to compare once-daily long-dwell icodextrin versus glucose among patients with kidney failure undergoing PD. STUDY DESIGN Systematic review of randomized controlled trials (RCTs), enriched with unpublished data from investigator-initiated and industry-sponsored studies. SETTING & STUDY POPULATIONS Individuals with kidney failure receiving regular PD treatment enrolled in clinical trials of dialysate composition. SELECTION CRITERIA FOR STUDIES Medline, Embase, CENTRAL, Ichushi Web, 10 Chinese databases, clinical trials registries, conference proceedings, and citation lists from inception to November 2018. Further data were obtained from principal investigators and industry clinical study reports. DATA EXTRACTION 2 independent reviewers selected studies and extracted data using a prespecified extraction instrument. ANALYTIC APPROACH Qualitative synthesis of demographics, measurement scales, and outcomes. Quantitative synthesis with Mantel-Haenszel risk ratios (RRs), Peto odds ratios (ORs), or (standardized) mean differences (MDs). Risk of bias of included studies at the outcome level was assessed using the Cochrane risk-of-bias tool for RCTs. RESULTS 19 RCTs that enrolled 1,693 participants were meta-analyzed. Ultrafiltration was improved with icodextrin (medium-term MD, 208.92 [95% CI, 99.69-318.14] mL/24h; high certainty of evidence), reflected also by fewer episodes of fluid overload (RR, 0.43 [95% CI, 0.24-0.78]; high certainty). Icodextrin-containing PD probably decreased mortality risk compared to glucose-only PD (Peto OR, 0.49 [95% CI, 0.24-1.00]; moderate certainty). Despite evidence of lower peritoneal glucose absorption with icodextrin-containing PD (medium-term MD, -40.84 [95% CI, -48.09 to-33.59] g/long dwell; high certainty), this did not directly translate to changes in fasting plasma glucose (-0.50 [95% CI, -1.19 to 0.18] mmol/L; low certainty) and hemoglobin A1c levels (-0.14% [95% CI, -0.34% to 0.05%]; high certainty). Safety outcomes and residual kidney function were similar in both groups; health-related quality-of-life and pain scores were inconclusive. LIMITATIONS Trial quality was variable. The follow-up period was heterogeneous, with a paucity of assessments over the long term. Mortality results are based on just 32 events and were not corroborated using time-to-event analysis of individual patient data. CONCLUSIONS Icodextrin for once-daily long-dwell PD has clinical benefit for some patients, including those not meeting ultrafiltration targets and at risk for fluid overload. Future research into patient-centered outcomes and cost-effectiveness associated with icodextrin is needed.
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Affiliation(s)
- Käthe Goossen
- Institute for Research in Operative Medicine, Faculty of Health, Department of Medicine, Witten/Herdecke University, Cologne, Germany
| | - Monika Becker
- Institute for Research in Operative Medicine, Faculty of Health, Department of Medicine, Witten/Herdecke University, Cologne, Germany
| | - Mark R Marshall
- Baxter Healthcare (Asia) Pte Ltd, Singapore; School of Medicine, University of Auckland, New Zealand; Department of Renal Medicine, Counties Manukau District Health Board, New Zealand.
| | - Stefanie Bühn
- Institute for Research in Operative Medicine, Faculty of Health, Department of Medicine, Witten/Herdecke University, Cologne, Germany
| | - Jessica Breuing
- Institute for Research in Operative Medicine, Faculty of Health, Department of Medicine, Witten/Herdecke University, Cologne, Germany
| | | | - Simone Hess
- Institute for Research in Operative Medicine, Faculty of Health, Department of Medicine, Witten/Herdecke University, Cologne, Germany
| | | | | | - Qiang Yao
- Baxter (China) Investment Co. Ltd, China
| | - Tae Ik Chang
- Department of Internal Medicine, NHIS Medical Center, Ilsan Hospital, Korea
| | - JinBor Chen
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taiwan
| | - Ramón Paniagua
- Research Unit, Unidad de Investigación Médica en Enfermedades Nefrológicas, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social (IMSS), México
| | - Yuji Takatori
- Internal Medicine, Rijinkai Medical Foundation, Socio-Medical Corporation, Kohsei General Hospital, Japan
| | - Jun Wada
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan
| | - Dawid Pieper
- Institute for Research in Operative Medicine, Faculty of Health, Department of Medicine, Witten/Herdecke University, Cologne, Germany
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