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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| All cardiac implantable devices | Assessed separately by Pacemaker ID app and cardia-x algorithm |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Device identification using Xray. | Other | PMIDa and CRMD-f applications were used to identify CIED |
|
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy sensitivity, specificity, negative predictive value, and positive predictive value for both Pacemaker ID app and CRMD finder app. | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| sensitivity, specificity, negative predictive value, and positive predictive value for both Pacemaker ID app and CRMD finder app. | 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 |
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Inclusion Criteria:
Exclusion Criteria:
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All patients undergoing CIED implantation and having post-device Xray were included.
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| Name | Affiliation | Role |
|---|---|---|
| Yawer Saeed, MBBS, PHD | The Aga Khan University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The Aga Khan University | Karachi | Pakistan |
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| ID | Term |
|---|---|
| D001145 | Arrhythmias, Cardiac |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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