BACKGROUND: Remote monitoring (RM) of cardiac implantable electronic devices is an ideal experimental model to evaluate long-term trends of physiological and clinical data automatically collected from large patient cohorts.
OBJECTIVES: We studied data of atrial fibrillation (AF) and physical activity (PA) transmitted daily during 3.5years from a subgroup of patients enrolled in the HomeGuide trial, a previously conducted study on patients routinely followed with a RM system transmitting clinical and diagnostic data daily.
METHODS: We selected 988 patients (80% male, mean age 68±11) implanted with a pacemaker (16%) or an implantable defibrillator and provided with atrial sensing and movement sensors. Remotely transmitted data were processed in order to obtain AF incidence and time of PA in the form of collective time series daily sampled.
RESULTS: We found that both PA and AF incidence clearly showed seasonal trends with an annual period and inverse correlation. In a first-order autoregressive model the regression coefficient of daily activity to AF incidence was -0.64 (standard error, 0.18, p<0.0001), while the cross-correlation coefficient reached its maximum values at ±180day lags. AF incidence was 14.4% higher and PA was 14.7% lower in winters than in summers (p<0.0001 for both comparisons). Power spectral analysis revealed weekly periodicity in the PA series (corresponding to festivity rest) but not in the AF incidence.
CONCLUSIONS: RM data collected daily from a relatively large patient cohort revealed marked seasonal trends in AF incidence and PA with opposite behavior in winters and summers.
- Atrial Fibrillation/diagnosis
- Defibrillators, Implantable/statistics & numerical data
- Electrocardiography, Ambulatory/instrumentation
- Middle Aged
- Pacemaker, Artificial/statistics & numerical data
- Remote Sensing Technology/methods
- Statistics as Topic