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A Prospective, Multi-center Registry to Evaluate Safety and Efficacy of Hativ® ELectrocardiogram Monitoring on Patients with Hemodialysis

A Prospective, Multi-center Registry to Evaluate Safety and Efficacy of Hativ® ELectrocardiogram Monitoring on Patients with Hemodialysis

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06688565
Enrollment
300
Registered
2024-11-14
Start date
2024-05-13
Completion date
2025-12-31
Last updated
2024-11-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

End-Stage Kidney Disease, Hemodialysis

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.

Interventions

DEVICEHativ® electrocardiogram monitoring

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

Sponsors

Hallym University Medical Center
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

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

Exclusion criteria

* those with intracardiac electrodes and devices

Design outcomes

Primary

MeasureTime frame
Incidence of arrhythmia1 month
Numeric value of electrocardiogram1 month

Countries

South Korea

Contacts

Primary ContactJung Nam An
lovingjn@gmail.com82-10-4459-9511

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026