Assessing mechanical catheter dysfunction in automated tidal peritoneal dialysis using cycler software: a case control, proof-of-concept study
- PMID: 35383211
- PMCID: PMC8983779
- DOI: 10.1038/s41598-022-09462-9
Assessing mechanical catheter dysfunction in automated tidal peritoneal dialysis using cycler software: a case control, proof-of-concept study
Erratum in
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Publisher Correction: Assessing mechanical catheter dysfunction in automated tidal peritoneal dialysis using cycler software: a case control, proof-of-concept study.Sci Rep. 2022 May 10;12(1):7623. doi: 10.1038/s41598-022-12074-y. Sci Rep. 2022. PMID: 35538196 Free PMC article. No abstract available.
Abstract
New recommendations on evaluation of peritoneal membrane function suggest ruling out catheter dysfunction when evaluating patients with low ultrafiltration capacity. We introduce the use of a combination of parameters obtained from the cycler software PD Link with HomeChoicePro (Baxter International Inc., Illinois, United States) cyclers for predicting catheter dysfunction in automated peritoneal dialysis patients (APD). Out of 117 patients treated at the Medical University of Vienna between 2015 and 2021, we retrospectively identified all patients with verified catheter dysfunction (n = 14) and compared them to controls without clinical evidence of mechanical catheter problems and a recent X-ray confirming PD catheter tip in the rectovesical/rectouterine space (n = 19). All patients had a coiled single-cuff PD catheter, performed tidal PD, and received neutral pH bicarbonate/lactate-buffered PD fluids with low-glucose degradation products on APD. Icodextrin-containing PD fluids were used for daytime dwells. We retrieved cycler data for seven days each and tested parameters' predictive capability of catheter dysfunction. Total number of alarms/week > 7 as single predictive parameter of catheter dislocation identified 85.7% (sensitivity) of patients with dislocated catheter, whereas 31.6% (1-specificity) of control patients were false positive. A combination of parameters (number of alarms/week > 7, total drain time > 22 min, ultrafiltration of last fill < 150 mL) where at least two of three parameters appeared identified the same proportion of patients with catheter dislocation, but was more accurate in identifying controls (21.1% false positive). In contrast to yearly PET measurements, an easily applicable combination of daily cycler readout parameters, also available in new APD systems connected to remote monitoring platforms shows potential for diagnosis of catheter dysfunction during routine follow-up.
© 2022. The Author(s).
Conflict of interest statement
A.V. has received honoraria and travel grants from Baxter and Fresenius and consulting fees from Baxter unrelated to this study. C.A. is cofounder of Zytoprotec GmbH, a spin-off of the Medical University Vienna that holds the patent “Carbohydrate-based peritoneal dialysis fluid comprising glutamine residue” (International Publication Number: WO 2008/106702 A1). M.U. and K.K. are former employees, K.K. is a consultant of Zytoprotec GmbH. K.O.F. is PhD candidate at the Medical University of Vienna and also employee of Baxter Healthcare GmbH, funded as early-stage researcher by the IMPROVE-PD (812699)/Horizon 2020 project. Baxter Healthcare did neither participate in the development of the protocol and study design, nor in the analysis of data or elaboration of the manuscript. All other authors have no conflicts of interest to declare.
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