Cardiac Arrhythmia
Conditions
Brief summary
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.
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.
Interventions
OTHERDevice identification using Xray.
PMIDa and CRMD-f applications were used to identify CIED
Sponsors
Aga Khan University Hospital, Pakistan
Study design
Observational model
OTHER
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy sensitivity, specificity, negative predictive value, and positive predictive value for both Pacemaker ID app and CRMD finder app. | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| sensitivity, specificity, negative predictive value, and positive predictive value for both Pacemaker ID app and CRMD finder app. | 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. |
Countries
Pakistan
Outcome results
None listed