The body mass index change is associated with death or hemodialysis transfer in Japanese patients initiating peritoneal dialysis

References

• Chuasuwan A, Pooripussarakul S, Thakkinstian A, et al. Comparisons of quality of life between patients underwent peritoneal dialysis and hemodialysis: a systematic review and meta-analysis. Health Qual Life Outcomes. 2020;18(1):191.
   PubMed Web of Science ®Google Scholar
• Li PKT, Chow KM, Van de Luijtgaarden MWM, et al. Changes in the worldwide epidemiology of peritoneal dialysis. Nat Rev Nephrol. 2017;13(2):90–103.
   PubMed Web of Science ®Google Scholar
• Sommer A, Twig G. The impact of childhood and adolescent obesity on cardiovascular risk in adulthood: a systematic review. Curr Diab Rep. 2018;18(10):91.
   PubMed Web of Science ®Google Scholar
• Chao AM, Wadden TA, Berkowitz RI, et al. The risk of cardiovascular complications with current obesity drugs. Expert Opin Drug Saf. 2020;19(9):1095–1104.
   PubMed Web of Science ®Google Scholar
• Faulkner JL. Obesity-associated cardiovascular risk in women: hypertension and heart failure. Clin Sci (Lond). 2021;135(12):1523–1544.
   PubMed Web of Science ®Google Scholar
• Port FK, Ashby VB, Dhingra RK, et al. Dialysis dose and body mass index are strongly associated with survival in hemodialysis patients. J Am Soc Nephrol. 2002;13(4):1061–1066.
   PubMed Web of Science ®Google Scholar
• Chertow GM, Hsu C, Johansen KL. The enlarging body of evidence: obesity and chronic kidney disease. J Am Soc Nephrol. 2006;17(6):1501–1502.
   PubMed Web of Science ®Google Scholar
• Ladhani M, Craig JC, Irving M, et al. Obesity and the risk of cardiovascular and all-cause mortality in chronic kidney disease: a systematic review and meta-analysis. Nephrol Dial Transplant. 2017;32(3):439–449.
   PubMed Web of Science ®Google Scholar
• Kalantar-Zadeh K, Kopple JD, Kilpatrick RD, et al. Association of morbid obesity and weight change over time with cardiovascular survival in hemodialysis population. Am J Kidney Dis. 2005;46(3):489–500.
   PubMed Web of Science ®Google Scholar
• Huang CX, Tighiouart H, Beddhu S, et al. Both low muscle mass and low fat are associated with higher all-cause mortality in hemodialysis patients. Kidney Int. 2010;77(7):624–629.
   PubMed Web of Science ®Google Scholar
• Stosovic M, Stanojevic M, Simic-Ogrizovic S, et al. The predictive value of anthropometric parameters on mortality in haemodialysis patients. Nephrol Dial Transplant. 2011;26(4):1367–1374.
   PubMed Web of Science ®Google Scholar
• Hanna RM, Ghobry L, Wassef O, et al. A practical approach to nutrition, protein-energy wasting, sarcopenia, and cachexia in patients with chronic kidney disease. Blood Purif. 2020;49(1-2):202–211.
   PubMed Web of Science ®Google Scholar
• Badve SV, Paul SK, Klein K, et al. The association between body mass index and mortality in incident dialysis patients. PLoS One. 2014;9(12):e114897.
   PubMed Web of Science ®Google Scholar
• Villain C, Ecochard R, Genet L, et al. Impact of BMI variations on survival in elderly hemodialysis patients. J Ren Nutr. 2015;25(6):488–493.
   PubMed Web of Science ®Google Scholar
• Matsuo S, Imai E, Horio M, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53(6):982–992.
   PubMed Web of Science ®Google Scholar
• Kang SH, Cho KH, Park JW, et al. Geriatric Nutritional Risk Index as a prognostic factor in peritoneal dialysis patients. Perit Dial Int. 2013;33(4):405–410.
   PubMed Web of Science ®Google Scholar
• Twardowski ZJ. Clinical value of standardized equilibration tests in CAPD patients. Blood Purif. 1989;7(2–3):95–108.
   PubMed Web of Science ®Google Scholar
• Nakayama M, Miyazaki M, Honda K, et al. Encapsulating peritoneal sclerosis in the era of a multi-disciplinary approach based on biocompatible solutions: the NEXT-PD study. Perit Dial Int. 2014;34(7):766–774.
   PubMed Web of Science ®Google Scholar
• Nakayama T, Uchiyama K, Washida N, et al. Exercise parameters predict technique survival in patients on peritoneal dialysis. Blood Purif. 2021;50(3):380–389.
   PubMed Web of Science ®Google Scholar
• Kolesnyk I, Dekker FW, Boeschoten EW, et al. Time-dependent reasons for peritoneal dialysis technique failure and mortality. Perit Dial Int. 2010;30(2):170–177.
   PubMed Web of Science ®Google Scholar
• Chidambaram M, Bargman JM, Quinn RR, et al. Patient and physician predictors of peritoneal dialysis technique failure: a population based, retrospective cohort study. Perit Dial Int. 2011;31(5):565–573.
   PubMed Web of Science ®Google Scholar
• See EJ, Johnson DW, Hawley CM, et al. Risk predictors and causes of technique failure within the first year of peritoneal dialysis: an Australia and New Zealand dialysis and transplant registry (ANZDATA) study. Am J Kidney Dis. 2018;72(2):188–197.
   PubMed Web of Science ®Google Scholar
• Boudville N, Ullah S, Clayton P, et al. Differences in peritoneal dialysis technique survival between patients treated with peritoneal dialysis systems from different companies. Nephrol Dial Transplant. 2019;34(6):1035–1044.
   PubMed Web of Science ®Google Scholar
• Ito M, Saka Y, Kuroki Y, et al. Assessment of the effect of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers in peritoneal dialysis patients: a systematic review and meta-analysis on clinical trials. Ren Replace Ther. 2019;5(1):42.
   Google Scholar
• Hama EY, Uchiyama K, Nagasaka T, et al. High body mass index is a risk factor for transition to hemodialysis or hybrid therapy and peritoneal dialysis-related infection in Japanese patients undergoing peritoneal dialysis. Int Urol Nephrol. 2022;54(12):3193–3202.
   PubMed Web of Science ®Google Scholar
• Lambie M, Chess J, Donovan KL, et al. Independent effects of systemic and peritoneal inflammation on peritoneal dialysis survival. J Am Soc Nephrol. 2013;24(12):2071–2080.
   PubMed Web of Science ®Google Scholar
• Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant. 2013;48(3):452–458.
   PubMed Web of Science ®Google Scholar
• Fouque D, Kalantar-Zadeh K, Kopple J, et al. A proposed nomenclature and diagnostic criteria for protein-energy wasting in acute and chronic kidney disease. Kidney Int. 2008;73(4):391–398.
   PubMed Web of Science ®Google Scholar
• Oliveira EA, Zheng R, Carter CE, et al. Cachexia/protein energy wasting syndrome in CKD: causation and treatment. Semin Dial. 2019;32(6):493–499.
   PubMed Web of Science ®Google Scholar
• Carrero JJ, Stenvinkel P, Cuppari L, et al. Etiology of the protein-energy wasting syndrome in chronic kidney disease: a consensus statement from the International Society of Renal Nutrition and Metabolism (ISRNM). J Ren Nutr. 2013;23(2):77–90.
   PubMed Web of Science ®Google Scholar
• Ikizler TA, Burrowes JD, Byham-Gray LD, et al. KDOQI clinical practice guideline for nutrition in CKD: 2020 update. Am J Kidney Dis. 2020;76(3 Suppl 1):S1–S107.
   PubMed Web of Science ®Google Scholar
• Zha Y, Qian Q. Protein nutrition and malnutrition in CKD and ESRD. Nutrients. 2017;9(3):208.
   PubMed Web of Science ®Google Scholar
• Shinaberger CS, Kilpatrick RD, Regidor DL, et al. Longitudinal associations between dietary protein intake and survival in hemodialysis patients. Am J Kidney Dis. 2006;48(1):37–49.
   PubMed Web of Science ®Google Scholar
• Alexandrou ME, Balafa O, Sarafidis P. Assessment of hydration status in peritoneal dialysis patients: validity, prognostic value, strengths, and limitations of available techniques. Am J Nephrol. 2020;51(8):589–612.
   PubMed Web of Science ®Google Scholar
• Suzuki Y, Matsuzawa R, Kamiya K, et al. Trajectory of lean body mass assessed using the modified creatinine index and mortality in hemodialysis patients. Am J Kidney Dis. 2020;75(2):195–203.
   PubMed Web of Science ®Google Scholar