NCT06688565

Brief Summary

The high mortality rate and costs of patients with end-stage renal disease (ESRD) are a medical and socio-economic burden, so managing their risk factors is very important. Recently, artificial intelligence (AI)-based electrocardiogram (ECG) analysis technology has made it possible to detect cardiovascular diseases using only ECGs by distinguishing minute differences in electrical currents in the heart that are difficult for humans to read, and active verification of its clinical effectiveness is in progress. In this study, using Hativ®, a currently commercially available class II medical device, ECGs are measured every day at home and before and after dialysis. Additionally, ECGs are measured when chest discomfort or unusual symptoms were present, and the corresponding symptoms are monitored. It targets patients with smartphones over the age of 19 who are receiving maintenance hemodialysis for more than 3 months due to ESRD and excludes those with intracardiac electrodes and devices. Demographic characteristics, medications, blood tests, and echocardiography results are collected, and the results of additional questionnaires or cardiac tests are monitored for up to 3 months. During the study period, if there are any critical abnormalities or symptoms on the ECGs, the medical staff or the subject may request additional treatment. In conclusion, by measuring ECGs before and after hemodialysis, the investigators aim to obtain data on the frequency and type of arrhythmia, confirm the relationship between cardiovascular disease and dialysis intervals. The investigators will also apply an AI-based ECG analysis model to the measured ECGs to determine the association with the mortality rate. Furthermore, the investigators plan to establish a basis for using AI analysis technology combined with a portable ECG device in the management of patients with ESRD and conduct follow-up research to improve prognosis.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
300

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started May 2024

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

May 13, 2024

Completed
6 months until next milestone

First Submitted

Initial submission to the registry

November 12, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

November 14, 2024

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 13, 2025

Completed
8 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2025

Completed
Last Updated

November 14, 2024

Status Verified

January 1, 2024

Enrollment Period

1 year

First QC Date

November 12, 2024

Last Update Submit

November 12, 2024

Conditions

Outcome Measures

Primary Outcomes (2)

  • Incidence of arrhythmia

    1 month

  • Numeric value of electrocardiogram

    1 month

Study Arms (1)

Hativ® application

EXPERIMENTAL
Device: Hativ® electrocardiogram monitoring

Interventions

Using Hativ®, a currently commercially available class II medical device, ECGs are measured every day at home and before and after dialysis

Hativ® application

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • patients with smartphones
  • patients over the age of 19 who
  • patients receiving maintenance hemodialysis for more than 3 months due to ESRD

You may not qualify if:

  • those with intracardiac electrodes and devices

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Hallym University Sacred Heart Hospital

Anyang, South Korea

RECRUITING

MeSH Terms

Conditions

Kidney Failure, Chronic

Condition Hierarchy (Ancestors)

Renal Insufficiency, ChronicRenal InsufficiencyKidney DiseasesUrologic DiseasesFemale Urogenital DiseasesFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesMale Urogenital DiseasesChronic DiseaseDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

November 12, 2024

First Posted

November 14, 2024

Study Start

May 13, 2024

Primary Completion

May 13, 2025

Study Completion

December 31, 2025

Last Updated

November 14, 2024

Record last verified: 2024-01

Locations