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CompletedNCT03141905Updated Apr 14, 2021Results posted

Sick-Day Protocol to Improve Outcomes in Chronic Kidney Disease

An interventional study of Sick-Day Protocol and Usual Care in Safety Issues and Chronic Kidney Diseases, sponsored by University of Maryland, Baltimore. Completed at 1 site in United States. Per ClinicalTrials.gov, last updated 2021-04-14.

Sponsored by University of Maryland, Baltimore · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
342
Allocation
Randomized
Sex
All
01

Study summary

The benefits of renin angiotensin system (RAS) blockers and diuretics for blood pressure control are well-established in chronic kidney diseases (CKD) patients; however, these agents may become hazardous on "sick-days" that lead to volume depletion (dehydration), and increase the risk of kidney function loss and acute kidney injury (AKI). It is not known how frequent significant sick-days occur in CKD patients, or whether a patient self-managed Sick-Day Protocol (SDP) that temporarily holds RAS blocker, diuretics, or other high risk medication in an effort to preserve renal function, or prevent AKI. The purpose of the study is to asses if a SDP, monitored remotely with a weekly automated phone survey , can improve outcomes in CKD (such as slow renal function loss and AKI episodes) and reduce preventable service utilization versus usual care.

Read the detailed description

Hypothesis: implementing a self managed "Sick-Day Protocol" with telephone monitoring via interactive voice survey dial-response system (IVSDRS) in CKD patients taking RAS blockers, diuretics, metformin, or NSAIDs, will safely slow renal function loss, reduce the incidence of acute kidney injury, and prevent urgent health utilization; in comparison to usual care.

Study Design: 6-month randomized trial of Sick-Day Protocol vs usual care

Randomization: In-block randomization stratified by use (with or without any other qualifying medication) vs non-use of RAS blocker (with any other qualifying medication)

Intervention: Sick-Day Protocol (instructions for holding and resumption of certain medicines in the event of dehydrating illness), IVRSDRS remote monitoring, augmented laboratory monitoring, and decision support from the VA Renal Inter-disciplinary Safety clinic (RISC)

Study Population: Veterans across the VA Maryland Health Care System (VAMCHS) with a current prescription for any type of RAS blocker, Diuretic, Metformin or NSAID.

Study Site: Baltimore VA Medical Center (BVAMC), VA Geriatrics Research Education and Clinical Center (GRECC).

Specific Aims 1: Conduct a pragmatic trial comparing the renal function decline, incidence of AKI, and urgent service utilization in eligible CKD patients provided with a self-managed Sick-Day Protocol versus comparable patients receiving usual care.Specific Aim 2: Determine the incidence of sick-days in the intervention arm using remote IVSDRS monitoring and end-of-study survey of all participants. Specific Aim 3: Evaluate intervention arm participants' usage of, and adherence to, the Sick-Day Protocol with remote IVSDRS monitoring.

Study Measurements: laboratory-measured renal function, and patient- reported safety events obtained per IVSDRS protocol. Emergency department (ED) visits, hospitalization, renal progression, incidence of ESRD, and death will be measured in both groups along with patient satisfaction.

Primary outcomes: 6-month change in renal function (eGFR), incidence of AKI episodes (including ICD-10 code designated, and detectable creatinine-based changes in renal function usingRIFLE criteria), preventable/urgent service utilization (to be ascertained using VA EHR review)

Secondary outcomes: Determination of incidence of sick-day events (IVSDRS reporting, and end-of-study self-report).

Tertiary:Adherence to self-management Sick-Day Protocol (based on IVSDRS reporting)

Analytic plans: Comparison between intervention and usual care participants of 6-month renal function change, and frequency of AKI and hospitalization using generalized linear models and Poisson regression methods, respectively. Similar regression methods will be used to determine the adjusted frequency rate of sick-day incidents and participant response to sick-days.

Public Health Relevance: Introduction of a self-management Sick-Day Protocol in conjunction with coordinated care and IVSDRS surveillance can be an innovative strategy to improve renal outcomes and reduce preventable service utilization.

02

Conditions studied

  • Safety Issues
  • Chronic Kidney Diseases

Keywords

  • patient safety
  • self-management
  • remote monitoring
03

In context

Kidney Diseases

3,840 studies on the registry are indexed under Kidney Diseases; 500 are open to participants now.

This study's enrollment of 342 is above the median of 70 across 2,640 interventional studies indexed under Kidney Diseases.

Browse Kidney Diseases studies →

Lead sponsor

University of Maryland, Baltimore is the lead sponsor of 687 studies on the registry; 130 are open to participants now.

Of its 90 completed or terminated interventional studies of FDA-regulated products, 63 (70%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Veterans with prescription for any type of RAS blocker, diuretic, Metformin or NSAID

Exclusion criteria

Exclusion Criteria:

  • Expected death or dialysis within 6 months
  • No home or cellular telephone
05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
342 participants (actual)

Study arms

  • Active comparator
    Sick-Day Protocol

    Sick-Day Protocol (instructions for holding and resumption of certain medicines in the event of dehydrating illness) and IVRSDRS weekly remote monitoring

    Other: Sick-Day Protocol

  • Placebo comparator
    Usual Care

    Standard clinical care

    Other: Usual Care

Interventions

  • OtherSick-Day Protocol

    Sick-Day Protocol (instructions for holding and resumption of certain medicines in the event of dehydrating illness) and IVSDRS weekly remote monitoring

  • OtherUsual Care

    Standard clinical care

06

What researchers measure

Primary outcomes

  1. Change in Renal Function From Baseline to Study Completion;

    Laboratory measurement of creatinine at study entry and completion

    Time frame: 6 months (enrollment to study completion)

Secondary outcomes

  1. Acute Kidney Injury Incidents

    Participants with abrupt changes in renal function as determined by EHR post-study review of new AKI ICD-10 codes, and for-cause lab ambulatory lab testing using RIFLE criteria

    Time frame: 6 months (enrollment to study completion)

  2. ER Use and Hospitalization

    Participants with urgent service utilization including emergency department, hospitalization, and urgent care.

    Time frame: 6 months (enrollment to study completion)

Other outcomes

  1. Determination of Sick-day Incidents

    Participants reporting sick-days via IVSDRS and end-of study visit survey ascertainment.

    Time frame: 6 months from enrollment in study

  2. Adherence to the Self-management Sick-day Protocol

    Frequency of Sick-Day qualifying illnesses reported. (Note: this outcome is N/A for the usual care group)

    Time frame: 6 months (enrollment to study completion)

07

Results

Posted Apr 14, 2021
Limitations and caveats
Due to the COVID-19 pandemic in-person visits were suspended on 3/12/2020 per institution and IRB mandate. Study lab measurements were delayed for 24 participants and not completed for 8 participants.

Participant flow

Participant flow — Overall Study
MilestoneSick-Day ProtocolUsual Care
Started176166
Completed152147
Not completed2419
Withdrew: Death32
Withdrew: Withdrawal by subject10
Withdrew: Lost to follow-up37
Withdrew: Randomized, but did not receive intervention. withdrew prior to baseline visit.1710

Outcome measures

PrimaryChange in Renal Function From Baseline to Study Completion;

Laboratory measurement of creatinine at study entry and completion

Time frame:
6 months (enrollment to study completion)
Reported as:
Median · mg/dL
Change in Renal Function From Baseline to Study Completion;
mg/dLSick-Day ProtocolUsual Care
Change in Renal Function From Baseline to Study Completion;0.01 (-0.11 to 0.22)0.02 (-.010 to 0.21)
SecondaryAcute Kidney Injury Incidents

Participants with abrupt changes in renal function as determined by EHR post-study review of new AKI ICD-10 codes, and for-cause lab ambulatory lab testing using RIFLE criteria

Time frame:
6 months (enrollment to study completion)
Reported as:
Count of participants · Participants
Acute Kidney Injury Incidents
ParticipantsSick-Day ProtocolUsual Care
AKI ICD-10 code on ED visit or admission44
50% increase in Creatinine10
SecondaryER Use and Hospitalization

Participants with urgent service utilization including emergency department, hospitalization, and urgent care.

Time frame:
6 months (enrollment to study completion)
Reported as:
Count of participants · Participants
ER Use and Hospitalization
ParticipantsSick-Day ProtocolUsual Care
Hospitalization2923
Emergency Room3530
Urgent Care55
Other pre-specifiedDetermination of Sick-day Incidents

Participants reporting sick-days via IVSDRS and end-of study visit survey ascertainment.

Time frame:
6 months from enrollment in study
Reported as:
Count of participants · Participants
Determination of Sick-day Incidents
ParticipantsSick-Day ProtocolUsual Care
Determination of Sick-day Incidents2920
Other pre-specifiedAdherence to the Self-management Sick-day Protocol

Frequency of Sick-Day qualifying illnesses reported. (Note: this outcome is N/A for the usual care group)

Time frame:
6 months (enrollment to study completion)
Reported as:
Number · count of qualifying illnesses
Adherence to the Self-management Sick-day Protocol
count of qualifying illnessesSick-Day Protocol
Followed Sick-Day Protocol instructions14
Did not stop medicines12
Stopped other medicines in addition to SDP qualifying.6

Adverse events

Collected over 6 months. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Sick-Day Protocol3/159 (1.9%)0/159 (0%)7/159 (4.4%)
Usual Care2/156 (1.3%)0/156 (0%)3/156 (1.9%)
Most frequent other events
Most frequent other events
EventSick-Day ProtocolUsual Care
Lab Alert: Potassium ≥ 6.1 mEq/dLCardiac disorders3/1591/156
Lab Alert: Glucose ≥ 499 mg/dLEndocrine disorders1/1592/156
Lab Alert: Chloride ≥ 115 mEq/dLRenal and urinary disorders2/1590/156
Initiation of HemodialysisRenal and urinary disorders1/1591/156
Lab Alert: Hemoglobin ≤ 7.5 g/dLBlood and lymphatic system disorders1/1590/156
Lab Alert: Co2 ≤ 15 mEq/LRenal and urinary disorders1/1590/156

Baseline characteristics

Age, Categorical
Age, Categorical(Participants)Sick-Day ProtocolUsual CareTotal
<=18 years000
Between 18 and 65 years293766
>=65 years130119249
Sex: Female, Male
Sex: Female, Male(Participants)Sick-Day ProtocolUsual CareTotal
Female7714
Male152149301
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)Sick-Day ProtocolUsual CareTotal
Hispanic or Latino112
Not Hispanic or Latino158155313
Unknown or Not Reported000
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Sick-Day ProtocolUsual CareTotal
American Indian or Alaska Native000
Asian011
Native Hawaiian or Other Pacific Islander101
Black or African American10099199
White5856114
More than one race000
Unknown or Not Reported000
Region of Enrollment
Region of Enrollment(participants)Sick-Day ProtocolUsual CareTotal
United States159156315
eGFR
eGFR(ml/min/1.73m^2)Sick-Day ProtocolUsual CareTotal
Mean43.110 ± 13.12843.783 ± 13.01843.441 ± 13.057
08

Study locations

1 site
  • Baltimore VA Medical Center
    Baltimore, Maryland 21201, United States
09

References and documents

Publications

  • Fink JC, Maguire RM, Blakeman T, Tomlinson LA, Tomson C, Wagner LA, Zhan M. Medication Holds in CKD During Acute Volume-Depleting Illnesses: A Randomized Controlled Trial of a "Sick-Day" Protocol. Kidney Med. 2022 Jul 31;4(9):100527. doi: 10.1016/j.xkme.2022.100527. eCollection 2022 Sep. PubMed 36046613 ↗

Study documents

  • Protocol and statistical analysis plan · Oct 21, 2020

Documents are hosted by the registry — open the source record to download them.

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 14, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT03141905
Lead sponsor
University of Maryland, Baltimore
Responsible party
Jeffrey Fink (Division Head, General Internal Medicine, University of Maryland, Baltimore) — Principal investigator
First posted
May 5, 2017
Start date
Oct 16, 2017
Primary completion
Oct 7, 2020
Completion
Oct 7, 2020
Results posted
Apr 14, 2021
Last update
Apr 14, 2021

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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