Current clinical practice in adapted automated peritoneal dialysis (aAPD)-A prospective, non-interventional study

. 2021 ; 16 (12) : e0258440. [epub] 20211209

Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection

Typ dokumentu klinické zkoušky, časopisecké články, multicentrická studie, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid34882678

Adapted automated peritoneal dialysis (aAPD), comprising a sequence of dwells with different durations and fill volumes, has been shown to enhance both ultrafiltration and solute clearance compared to standard peritoneal dialysis with constant time and volume dwells. The aim of this non-interventional study was to describe the different prescription patterns used in aAPD in clinical practice and to observe outcomes characterizing volume status, dialysis efficiency, and residual renal function over 1 year. Prevalent and incident, adult aAPD patients were recruited during routine clinic visits, and aAPD prescription, volume status, residual renal function and laboratory data were documented at baseline and every quarter thereafter for 1 year. Treatments were prescribed according to the nephrologist's medical judgement in accordance with each center's clinical routine. Of 180 recruited patients, 160 were analyzed. 27 different aAPD prescription patterns were identified. 79 patients (49.4%) received 2 small, short dwells followed by 3 long, large dwells. During follow-up, volume status changed only marginally, with visit mean values ranging between 1.59 (95% confidence interval: 1.19; 1.99) and 1.97 (1.33; 2.61) L. Urine output and creatinine clearance decreased significantly, accompanied by reductions in ultrafiltration and Kt/V. 25 patients (15.6%) received a renal transplant and 15 (9.4%) were changed to hemodialysis. Options for individualization offered by aAPD are actually used in practice for optimized treatment. Changes observed in renal function and dialysis efficiency measures reflect the natural course of chronic kidney disease. No safety events were observed during the study period.

Zobrazit více v PubMed

Van Biesen W, Claes K, Covic A, Fan S, Lichodziejewska-Niemierko M, Schoder V, et al.. A multicentric, international matched pair analysis of body composition in peritoneal dialysis versus haemodialysis patients. Nephrol Dial Transplant. 2013;28(10):2620–8. doi: 10.1093/ndt/gft296 PubMed DOI

Van Biesen W, Verger C, Heaf J, Vrtovsnik F, Britto ZML, Do JY, et al.. Evolution Over Time of Volume Status and PD-Related Practice Patterns in an Incident Peritoneal Dialysis Cohort. Clin J Am Soc Nephrol. 2019;14(6):882–93. doi: 10.2215/CJN.11590918 PubMed DOI PMC

O’Lone EL, Visser A, Finney H, Fan SL. Clinical significance of multi-frequency bioimpedance spectroscopy in peritoneal dialysis patients: independent predictor of patient survival. Nephrol Dial Transplant. 2014;29(7):1430–7. doi: 10.1093/ndt/gfu049 PubMed DOI

Vrtovsnik F, Verger C, Van Biesen W, Fan S, Shin SK, Rodriguez C, et al.. The impact of volume overload on technique failure in incident peritoneal dialysis patients. Clin Kidney J. 2021;14(2):570–7. doi: 10.1093/ckj/sfz175 PubMed DOI PMC

Fischbach M, Desprez P, Donnars F, Hamel G, Geisert J. Optimization of CCPD prescription in children using peritoneal equilibration test. Adv Perit Dial. 1994;10:307–9. PubMed

Fischbach M, Issad B, Dubois V, Taamma R. The beneficial influence on the effectiveness of automated peritoneal dialysis of varying the dwell time (short/long) and fill volume (small/large): a randomized controlled trial. Perit Dial Int. 2011;31(4):450–8. doi: 10.3747/pdi.2010.00146 PubMed DOI

Aragó Sorrosal S, Sánchez Ruiz M, Quintela Martínez M, Alicarte Gracia AI, Vera Rivera M. Diálisis peritoneal automática adaptada: un método de prescripción eficaz, eficiente y seguro. Enfermería Nefrológica. 2014;17:202–8.

Zaloszyc A, Schmitt CP, Schaefer B, Doutey A, Terzic J, Menouer S, et al.. [Peritoneal equilibration test: Conventional versus adapted. Preliminary study]. Nephrologie & therapeutique. 2017;13(1):30–6. doi: 10.1016/j.nephro.2016.07.444 PubMed DOI

Galli EG, Taietti C, Borghi M. Personalization of automated peritoneal dialysis treatment using a computer modeling system. Adv Perit Dial. 2011;27:90–6. PubMed

National Kidney Foundation. II. NKF-K/DOQI Clinical Practice Guidelines for Peritoneal Dialysis Adequacy: Update 2000. Am J Kidney Dis. 2001;37(1):S65–S136. doi: 10.1016/s0272-6386(01)70006-6 PubMed DOI

National Kidney Foundation. Clinical Practice Guidelines for peritoneal dialysis adequacy 2006 [http://kidneyfoundation.cachefly.net/professionals/KDOQI/guideline_upHD_PD_VA/index.htm. PubMed

Keane DF, Baxter P, Lindley E, Moissl U, Pavitt S, Rhodes L, et al.. The Body Composition Monitor: a flexible tool for routine fluid management across the haemodialysis population. Biomed Phys Eng Express. 2017;3(3). doi: 10.1088/2057-1976/aa6f45 PubMed DOI PMC

Little RJA. Modeling the dropout mechanism in repeated-measures studies. JASA. 1995;90(431):1112–21.

Wabel P, Moissl U, Chamney P, Jirka T, Machek P, Ponce P, et al.. Towards improved cardiovascular management: the necessity of combining blood pressure and fluid overload. Nephrol Dial Transplant. 2008;23(9):2965–71. doi: 10.1093/ndt/gfn228 PubMed DOI

Wieskotten S, Heinke S, Wabel P, Moissl U, Becker J, Pirlich M, et al.. Bioimpedance-based identification of malnutrition using fuzzy logic. Physiol Meas. 2008;29(5):639–54. doi: 10.1088/0967-3334/29/5/009 PubMed DOI

Fischbach M, Zaloszyc A, Schaefer B, Schmitt C. Adapted automated peritoneal dialysis. Adv Perit Dial. 2014;30:94–7. PubMed

Fischbach M, Lahlou A, Eyer D, Desprez P, Geisert J. Determination of individual ultrafiltration time (APEX) and purification phosphate time by peritoneal equilibration test: application to individual peritoneal dialysis modality prescription in children. Perit Dial Int. 1996;16 Suppl 1:S557–60. PubMed

Trinh E, Perl J. The patient receiving automated peritoneal dialysis with volume overload. Clin J Am Soc Nephrol. 2018;13(11):1732–4. doi: 10.2215/CJN.02570218 PubMed DOI PMC

Fischbach M, Zaloszyc A, Schaefer B, Schmitt CP. Should sodium removal in peritoneal dialysis be estimated from the ultrafiltration volume? Pediatr Nephrol. 2017;32(3):419–24. doi: 10.1007/s00467-016-3378-5 PubMed DOI

Fischbach M, Schmitt CP, Shroff R, Zaloszyc A, Warady BA. Increasing sodium removal on peritoneal dialysis: applying dialysis mechanics to the peritoneal dialysis prescription. Kidney Int. 2016;89(4):761–6. doi: 10.1016/j.kint.2015.12.032 PubMed DOI

Keshaviah P, Emerson PF, Vonesh EF, Brandes JC. Relationship between body size, fill volume, and mass transfer area coefficient in peritoneal dialysis. J Am Soc Nephrol. 1994;4(10):1820–6. doi: 10.1681/ASN.V4101820 PubMed DOI

Fischbach M, Haraldsson B. Dynamic changes of the total pore area available for peritoneal exchange in children. J Am Soc Nephrol. 2001;12(7):1524–9. doi: 10.1681/ASN.V1271524 PubMed DOI

Chagnac A, Herskovitz P, Ori Y, Weinstein T, Hirsh J, Katz M, et al.. Effect of increased dialysate volume on peritoneal surface area among peritoneal dialysis patients. J Am Soc Nephrol. 2002;13(10):2554–9. doi: 10.1097/01.asn.0000026492.83560.81 PubMed DOI

Durand PY, Chanliau J, Gamberoni J, Hestin D, Kessler M. APD: clinical measurement of the maximal acceptable intraperitoneal volume. Adv Perit Dial. 1994;10:63–7. PubMed

Durand PY, Balteau P, Chanliau J, Kessler M. Optimization of fill volumes in automated peritoneal dialysis. Perit Dial Int. 2000;20 Suppl 2:S83–8. PubMed

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...