Trial enrolling individuals at risk of stroke reveals that the detection rate of AtrialFibrillation requiring medication was more than doubled in participants who screened themselves for an irregular pulse using their smartphone, as compared to usual care
Plethysmographic measurements during both phases of the trial . Solid blue line shows proportion of participants who performed ≥1 measurement per week, dotted blue line shows proportion of participants who performed ≥2 measurements per week. The percentage refers to the total number of subjects assigned to digital screening according to the modified intention-to-treat principle.
. For this analysis only active participants performing at least one PPG-measurement during the entire study duration were considered . Two-sided p-values were calculated by means of Mann-Whitney U test; the exact p-value for; differences were considered statistically significant when the two-sided p-value was less than 0.05. There was no adjustment for multiple comparisons. Boxplots in show median and IQR.
Extended Data Fig. 6 Sensitivity of AF detection as function of PPG measurement frequency and AF burden. Model describing the weekly sensitivity for detecting atrial fibrillation as a function of the number of measurements per week and the AF-burden. We used the timestamps of the available 300,509 PPG-measurements in order to calculate the frequency of measurements for the various parts of the day. Based on this frequency pattern we subsequently simulated PPG-measurements for increasing AF-burden , which was defined as and finally calculated the sensitivity of the AF-detection.
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