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Compliance study in peritoneal dialysis using PD Adequest software

G Amici1, G Viglino, G Virga

  • 1Nephrology Division and Laboratory, Regional Hospital S. Maria dei Battuti, Treviso, Italy.

Peritoneal Dialysis International : Journal of the International Society for Peritoneal Dialysis
|January 1, 1996
PubMed
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Peritoneal dialysis (PD) compliance can be predicted using PD Adequest software. This mathematical model helps identify noncompliant patients, potentially reducing dropout and morbidity in PD therapy.

Area of Science:

  • Nephrology
  • Medical Informatics

Background:

  • Poor compliance in peritoneal dialysis (PD) is a major factor contributing to patient dropout and increased morbidity.
  • Identifying noncompliant patients is crucial for improving PD outcomes and patient management.

Purpose of the Study:

  • To evaluate the efficacy of PD Adequest software in identifying noncompliant patients undergoing peritoneal dialysis.
  • To assess the correlation between predicted and measured clearance parameters in PD patients.

Main Methods:

  • A cohort of 50 PD patients underwent a peritoneal equilibration test (PET) and 24-hour urine/dialysate collection.
  • Total weekly creatinine clearance (CrCl) and glomerular filtration rate (GFR) were calculated.
  • PD Adequest software was used to model patient adherence based on prescribed dialysis schedules and transport parameters.

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Main Results:

  • The software model differentiated between compliant and noncompliant patient groups based on CrCl and serum creatinine (sCR) differences.
  • A noncompliance threshold was established using confidence intervals for CrCl (-5.3%) and sCR (+10%).
  • Reassessment using the software identified 11 patients (22%) as probably noncompliant.

Conclusions:

  • PD Adequest software, utilizing a mathematical model of peritoneal transport, can effectively identify patients with poor compliance in PD.
  • This software offers a valuable tool for clinicians to proactively manage PD patient adherence, potentially mitigating negative health consequences.