CONCLUSIONS Current evidence suggests that D-PA may be useful for assessing physical activity and predicting clinical outcomes in patients with cardiovascular implantable electronic devices when combined with other device parameters .
BACKGROUND  Physical activity  is predictive of cardiovascular outcomes in patients with cardiovascular implantable electronic devices , yet it is not regularly assessed in routine care .
Current-generation cardiovascular implantable electronic devices , however , continuously monitor patient activity through a built-in accelerometer , which provides new opportunities to remotely assess patient activity , detect changes in clinical status , and incorporate these data in risk stratification models .
This review critically examines the literature on device-measured physical activity ( D-PA ) , with a focus on identifying method ological issues that may affect interpretation of study results .
Device diagnostics and long-term clinical outcome in patients receiving cardiac resynchronization therapy.
AIMS This retrospective analysis sought to develop and vali date a model using the measured diagnostic variables in cardiac resynchronization therapy ( CRT ) devices to predict mortality . METHODS AND RESULTS Data used in this analysis came from two CRT studies : Cardiac Resynchronization Therapy Registry Evaluating Patient Response with RENEWAL Family Devices ( CRT RENEWAL ) ( n = 436 ) and Heart Failure-Heart Rate Variability ( HF-HRV ) ( n = 838 ) . Patients from CRT RENEWAL were used to create a model for risk of death using logistic regression and to create a scoring system that could be used to predict mortality . Results of both the logistic regression and the clinical risk score were vali date d in a cohort of patients from the HF-HRV study . Diagnostics significantly improved over time post-CRT implant ( all P < 0.001 ) and were correlated with a trend of decreased risk of death . The regression model classified CRT RENEWAL patients into low ( 2.8 % ) , moderate ( 6.9 % ) , and high ( 13.8 % ) risk of death based on tertiles of their model predicted risk . The clinical risk score classified CRT RENEWAL patients into low ( 2.8 % ) , moderate ( 10.1 % ) , and high ( 13.4 % ) risk of death based on tertiles of their score . When both the regression model and the clinical risk score were applied to the HF-HRV study , each was able to classify patients into appropriate levels of risk . CONCLUSION Device diagnostics may be used to create models that predict the risk of death
CONCLUSIONS Current evidence suggests that D-PA may be useful for assessing physical activity and predicting clinical outcomes in patients with cardiovascular implantable electronic devices when combined with other device parameters .
BACKGROUND  Physical activity  is predictive of cardiovascular outcomes in patients with cardiovascular implantable electronic devices , yet it is not regularly assessed in routine care .
Current-generation cardiovascular implantable electronic devices , however , continuously monitor patient activity through a built-in accelerometer , which provides new opportunities to remotely assess patient activity , detect changes in clinical status , and incorporate these data in risk stratification models .
This review critically examines the literature on device-measured physical activity ( D-PA ) , with a focus on identifying method ological issues that may affect interpretation of study results .