Table 3.
Summary of Reviewed Papers from Section 3.2.
Ref. | Purpose | Results |
---|---|---|
[44] | To examine algorithms that use BW and non-invasive transthoracic bio-impedance to predict decompensation in HF patients. | Data from a bio impedance vest predicted events better than weight data. |
[46] | To investigate the relationship between daily BW and II in patients with HF | Combining BW and impedance data can decrease false-detection rate to clinically acceptable levels and achieved a better performance than BW alone. |
[47] | To examine the sensitivity and false alarm rate of predicting HF events between changes in daily BW and II in HF patients. | Monitoring of II achieved a significantly higher sensitivity and lower false alarm rate in predicting of HF events compared with BW monitoring. |
[48] | To evaluate the use of a combination of HF device diagnostics data in predicting clinical deterioration in HF patients with systolic left ventricular dysfunction. | Patients that had positive HF device diagnostics as specified were 4.8 times more likely to have an HF hospitalization in the next month with pulmonary signs or symptoms. |
[49] | To evaluate the positive predictive value (PPV) and sensitivity of II monitoring for chronic HF patients. | Fluid index derived from II had low PPV and sensitivity at the early stages after implantation of a device. |
[50] | To investigate the safety and clinical effects that remote monitoring will have on HF patients that are implanted with a CRT-D with advanced diagnostics. | For HF patients that were implanted with a CRT-D, mortality, and risk of cardiovascular or device-related hospitalizations was not reduced by remote monitoring. |
[51] | To determine whether the implementation of a schedule screening and patient-centered educational approach to II measurements would result in the decrease of chronic HF hospitalizations. | There was a low incidence of chronic HF hospitalizations, especially in patients with decreased intrathoracic impedance. |
[52] | To determine whether early automated alarms of fluid status using telemonitoring can reduce HF-related events in patients. | There was no significant improvement using the telemonitoring with II measurements. The automated alerts did not result in a decrease in hospitalizations. |