Comparing Sensitivity and Specificity of Pacemaker ID Application and Cardiac Rhythm Management Device-Finder Application.

June 30, 2021 updated by: Pirbhat Shams, Aga Khan University Hospital, Pakistan

Comparing Sensitivity and Specificity of Pacemaker ID Application and Cardiac Rhythm Management Device-Finder Application in Identifying Cardiac Implantable Electronic Device Manufacturer Using Chest Radiograph - an Observational Study.

Smart phone-based applications to identify cardiac implantable electronic devices (CIED) are extremely useful in circumstances where urgent device interrogation is needed and device identification card is not available. Few studies have provided insight regarding the utility of these applications. We have studied two widely available applications i.e., Pacemaker ID app (PMIDa) or Cardiac Rhythm Management Devices-Finder (CRMD-f) to identiy device manufacturers in CIEDs.

Study Overview

Status

Completed

Conditions

Detailed Description

Smart phone-based applications to identify cardiac implantable electronic devices (CIED) are extremely useful in circumstances where urgent device interrogation is needed and device identification card is not available. Few studies have provided insight regarding the utility of these applications. We have studied two widely available applications i.e., Pacemaker ID app (PMIDa) or Cardiac Rhythm Management Devices-Finder (CRMD-f) to identiy device manufacturers in CIEDs.

547 patients who underwent CIED implantation from year 2016 - 2020 in our institute were enrolled. There were 438 Medtronic and 109 St. Jude's devices. All chest radiographs were de-identified and resized into 225*225 pixels focusing on the CIED. PMIDa and CRMD-f applications were used to identify CIED. Accuracy, sensitivity, specificity, negative predictive value, and positive predictive value for both applications were calculated and compared.

Study Type

Observational

Enrollment (Actual)

547

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Karachi, Pakistan
        • The Aga Khan University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

All patients undergoing CIED implantation and having post-device Xray were included.

Description

Inclusion Criteria:

  • All patients undergoing CIED implantation and having xray post-implant at any point and time.

Exclusion Criteria:

  • Patients with CIED for whome Xray was not available.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Other
  • Time Perspectives: Cross-Sectional

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
All cardiac implantable devices
Assessed separately by Pacemaker ID app and cardia-x algorithm
PMIDa and CRMD-f applications were used to identify CIED

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Accuracy sensitivity, specificity, negative predictive value, and positive predictive value for both Pacemaker ID app and CRMD finder app.
Time Frame: Upto 6 months of enrollment
Accuracy, sensitivity, specificity, negative predictive value, and positive predictive value for both Pacemaker ID app and CRMD finder app. Above mentioned values shall be calculated after analysing data in SPSS and doing cross tabulation. Values will be in percentages.
Upto 6 months of enrollment

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
sensitivity, specificity, negative predictive value, and positive predictive value for both Pacemaker ID app and CRMD finder app.
Time Frame: Upto 6 months of enrollment
sensitivity, specificity, negative predictive value, and positive predictive value for both Pacemaker ID app and CRMD finder app. Above mentioned values shall be calculated after analysing data in SPSS and doing cross tabulation. Values will be in percentages.
Upto 6 months of enrollment

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Yawer Saeed, MBBS, PHD, The Aga Khan University Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2020

Primary Completion (Actual)

December 31, 2020

Study Completion (Actual)

December 31, 2020

Study Registration Dates

First Submitted

June 22, 2021

First Submitted That Met QC Criteria

June 30, 2021

First Posted (Actual)

July 12, 2021

Study Record Updates

Last Update Posted (Actual)

July 12, 2021

Last Update Submitted That Met QC Criteria

June 30, 2021

Last Verified

June 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 2020-5101-14156

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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