ESC Congress 2017 In Review – Focus on Arrhythmias - 10

Late-Breaking Registry Results

The diagnostic performance of the smartphone app
was mixed. Specificity and negative predictive value
were excellent, while sensitivity and positive predictive
value were suboptimal (Figure 1).
While the smartphone app seems feasible for AF
screening in the general community with a newly diag-

nosed NNS similar to other programs, deficiencies that
need to be corrected include aspects of the diagnostic
performance (sensitivity and positive predictive value)
and post-screening efforts to increase the rates of delivery of the appropriate treatment for those with newly
diagnosed AF or existing AF that is undertreated.

Figure 1. Diagnostic Performance of the Automated Detection Algorithm for AF

Sensitivity = 75%; Specificity = 98.2%
Positive predictive value = 64.9%; negative predictive value = 99.5%

10,735 ECG's performed by
Kardia mobile device

Diagnosis by automated algorithm
of Kardia mobile device

Reference diagnosis
by cardiologist

10,363 (96.5%)
sinus rhythm

10,307 (99.5%)
sinus rhythm

56 (0.5%)
AF

282 (2.6%) AF

99 (35.1%)
sinus rhythm

90 (0.8%)
unreadable

183 (64.9%) 85 (94.4%)
sinus rhythm
AF

5 (5.6%)
AF

Reproduced with permission from NY Chan, MD.

10

October 2017

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Table of Contents for the Digital Edition of ESC Congress 2017 In Review – Focus on Arrhythmias