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editorial
. 2020 Nov 6:1–4. doi: 10.1159/000511407

Through the Storm: Automated Peritoneal Dialysis with Remote Patient Monitoring during COVID-19 Pandemic

Alfonso Bunch a,*, Freddy Ardila b, Ricardo Castaño a, Sylvia Quiñonez c, Leyder Corzo d
PMCID: PMC7705933  PMID: 33161396

Coronavirus disease 19 (COVID-19) is a pandemic that has generated a global public health crisis with significant clinical, social, and economic repercussions. Elderly as well as hypertensive, diabetic, and immunosuppressed patients are at higher risk of having fatal outcomes after a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection [1, 2, 3]. It is evident that patients with chronic kidney disease (CKD) and dialysis are at increased risk for adverse health outcomes during this pandemic [4]. In this context, home therapy with peritoneal dialysis, particularly automated peritoneal dialysis with remote patient management programs (APD-RPM), emerges as an enabling technology to reduce and prevent risks of infection, as recommended by the International Society of Peritoneal Dialysis (ISPD) and others [5, 6].

The Baxter Renal Care Services Colombia (BRCS®) APD model has been described by Sanabria and others [7]. The program is based on a patient's regular monthly comprehensive evaluation and additional on-site visit for pre-emptive consultations and Continuous Quality Improvement (CQI) approach to the delivery of care. The APD treatments were performed following individualized needs per patient to achieve the adequacy goals including daily sessions, using glucose-based and icodextrin solutions. The remote patient monitoring (RPM) program is based on a Homechoice ClariaTM APD cycler connected to a 3G-4G modem device that transfers data to SharesourceTM platform. Clinical teams have the possibility to review everyday important aspects of the APD therapy including significant alerts related to specific findings, lost treatment time, lost dwell time, lost treatment volume, drain completed early, total ultrafiltration, and blood pressure [7]. During the last 3 years, BRCS has successfully implemented this remote monitoring program [8].

Current exceptional circumstances allowed us to change the model of care after March 2020, once the pandemic was declared, with the main goal of reducing the risk of SARS-COV2 infection for APD patients, while continuing the same quality of care. Changes in the model included the following:

  • Telehealth for at least the first 3 months of the pandemic

  • On-site evaluation only in specific cases requiring a medical evaluation related with an acute complication, medicine administration, after hospital discharge, and initial training of new patients

  • Weekly telephonic triage to evaluate COVID-19 contacts or symptoms for patients done by nurses or social workers

  • Daily review of APD treatments through remote monitoring platform

  • PD technique review performed through videos sent by the patient or using video call

  • Monitoring by videos or photos any changes in the PD fluid, exit site, and/or foot in diabetic patients

  • Delivery of medications to patients at home or pick up options to registered caregivers at the dialysis clinics

By performing these changes during quarantine, the APD remote monitoring model of care implemented inside BRCS clinics has become the best option for patients in chronic dialysis, reducing risks of exposure to the hospital environment, transportation, and contact with healthcare personnel. The model has allowed the clinical team to

  • Track patient´s adherence, blood pressure, ultrafiltration, and weight daily

  • Perform proactive telephone interventions anticipating possible urgent care requirements

  • Adhere to the international recommendations to prevent the virus spread

We reviewed data of the APD RPM program before and after the appearance of the pandemic (January to April of 2020), with an analysis of the subsequent changes in the pattern of care and APD outcomes. For the statistical analysis, a comparison was made between January 2020 (baseline) and April 2020 data using test for means and proportion differences as appropriate. The rate of peritonitis was also calculated with its respective 95% confidence interval.

A total of 1,023 APD patients with RPM program in 42 BRCS dialysis clinics were included in this report; the main characteristics are presented in detail (Table 1). None of these patients was diagnosed with COVID-19; at the time of analysis, there were 6,507 cases and 293 deaths in Colombia due to COVID-19.

Table 1.

Baseline characteristics of the study population

Characteristics N = 1,023
Age, median (IQR), years 63 (51, 72)
Sex, n (%)
 Male 623 (60.9)
 Female 400 (39.1)
CKD cause, n (%)
 Diabetes 395 (38.6)
 Hypertension 273 (26.7)
 Glomerulonephritis 169 (16.5)
 Unknown 58 (5.7)
 Others 52 (5.1)
 Polycystic kidney disease 39 (3.8)
 Urinary tract obstruction 37 (3.6)
History of cardiovascular disease, n (%) 84 (8.2)
Urine output, mL/day, n (%)
 <100 426 (41.6)
 100 to 249 149 (14.6)
 ≥250 448 (43.8)
ESRD comorbidity index, median (IQR) 2 (0, 3)
Dialysis vintage, years, n (%)
 <1 year 375 (36.7)
 1–3 years 377 (36.8)
 >3 years 271 (26.5)

IQR, inter quartile range; CKD, chronic kidney disease; ESRD, end-stage renal disease.

We evaluated adherence to APD, which showed improvement over the follow-up time (see Table 2). At the same time, a decrease in on-site evaluations was observed in the renal clinics with consequent increase in remote interactions (Table 2).

Table 2.

Adherence and remote attention indicators

Indicator Time N Indicator Change from January, % [95% CI] p value
Adherence, % (performed January 26,913* 93.2
sessions, n/prescribed February 26,749* 94.3 1.1 [0.6, 1.5] <0.01
sessions, n) March 28,707* 94.5 1.3 [0.8, 1.7] <0.01
April 28,216* 95.2 2.0 [1.6, 2.3] <0.01

Proportion of patients with January 859 18.6
>10% of prescribed sessions February 883 21.6 3.0 [−0.1, 6.7] 0.94
missed per month, % March 915 14.2 −4.4 [−7.8, −0.9] <0.01
April 932 15.7 −2.9 [−6.3, 0.6] 0.05

Proportion of patients with January 859 4.1
missed dwell time above 5% February 883 5.8 1.7 [−0.3, 3.7] 0.94
per treatment, per month, % March 915 3.7 −0.4 [−2.2, 1.4] 0.33
April 932 3.2 −0.9 [−2.6, 0.8] 0.15

Teleconsultations per January 859 0.46
patient/month, mean, n February 883 0.44 0.02 [0.01, 0.02] <0.01
March 915 1.2 0.79 [0.78, 0.80] <0.01
April 932 4.9 4.48 [4.47, 4.49] <0.01

On-site evaluations per January 859 5.1
patient/month, mean, n February 883 5.0 −0.1 [−0.1, −0.09] <0.01
March 915 4.4 −0.7 [−0.7, −0.6] <0.01
April 932 1.0 −4.1 [−4.2, −4,09] <0.01

APD, automated peritoneal dialysis.

*

Sessions of APD, per month.

No statistically significant differences were observed in peritonitis rates (see Table 3). The proportion of patients with poorly controlled hypertension decreased significantly (see Table 3), although the proportion of patients with hypotension increased slightly.

Table 3.

Clinical outcomes

Outcomes Time N Events Estimate p value
Peritonitis rate, per patient/month January 859 21 0.02 Reference
February 883 24 0.03 0.36
March 915 23 0.02 0.46
April 932 24 0.02 0.43

Proportion of patients with BP >140/90 mm Hg, during >40% of the days January 859 39.8 Reference*
February 883 37.5 −2.3 [−6.8, 2.2] 0.16
March 915 37.7 −2.1 [−6.6, 2.4] 0.18
April 932 34.9 −4.9 [−9.3, −0.4] 0.01

Proportion of patients with BP <90/60 mm Hg, during >10% of the days January 859 19.6 Reference*
February 883 22.3 0.3 [−1.1, 6.5] 0.91
March 915 21.8 2.2 [−1.5, 5.9] 0.87
April 932 22.4 2.8 [−0.1, 6.5] 0.92

BP, blood pressure.

*

Change from January with 95% CI.

These findings suggest that home care for patients on APD with RPM program could be successfully implemented by maintaining and even increasing interaction between the patient and the renal clinic staff. Adjustments to the patient care plan process reduced on-site evaluations inside the dialysis clinics and were associated with good performance indicators in terms of adherence, peritonitis rates, and blood pressure control. Taking advantage of connectivity tools, this new way of delivering care in PD, can improve the clinical staff's availability and quality of time dedicated to patient care while tracking changes with the remote monitoring model. However, one possible confounder lies in, the SARS-COV2 pandemic itself, which could have increased the level of patient self-care due to fear and negative consequences associated with suboptimal PD care. In general, although a very short period of time was included in the analysis, the current data suggest that a remote management of patients is easy to adapt to changing needs within APD programs, safe, and could be associated with increased adherence to therapy.

Conflict of Interest Statement

A.B. and R.C. are full-time employees of Renal Therapy Services-Latin America, Bogotá, D.C., Colombia; F.A. is a full-time employee of Renal Therapy Services-Colombia, Bogotá, Colombia; S.Q. is a full-time employee of Renal Therapy Services-Colombia, Agencia la Soledad, Bogotá, D.C., Colombia; and L.C. is a full-time employee of Renal Therapy Services-Colombia, Instituto Nacional del Riñon, Bogotá, D.C., Colombia.

Funding Sources

This study was supported by Renal Therapy Services-Colombia, an independent entity owned by Baxter International, Inc.

Author Contributions

Mr. Bunch, Ms. Quiñonez, and Ms. Corzo: original research project conception and design, data acquisition, and data interpretation. Mr. Ardila and Mr. Castaño: original research project conception and design and data interpretation. All authors have been involved in the drafting of the manuscript or revising it critically for important intellectual content and provided final approval of the version to be published. All authors verify that they have met all the journal's requirements for authorship. All authors agree to be accountable for all aspects of the work, ensuring the accuracy and integrity of the publication. All authors approved the final manuscript draft submitted for publication. The authors received no financial compensation for the development of this manuscript.

Acknowledgements

The authors wish to express their gratitude to all the patients and nursing teams who participated in the study.

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