| Literature DB >> 35174451 |
Agnieszka Kotalczyk1,2, Jacopo F Imberti1,3, Gregory Y H Lip1,2,4, David Justin Wright5,6.
Abstract
PURPOSE OF THE REVIEW: We aimed to provide an overview of telemedical monitoring and its impact on outcomes among heart failure (HF) patients. RECENTEntities:
Keywords: CardioMEMS technology; Heart failure; Implantable hemodynamic monitor; Pulmonary artery pressure; Remote monitoring
Mesh:
Year: 2022 PMID: 35174451 PMCID: PMC8853059 DOI: 10.1007/s11897-021-00537-8
Source DB: PubMed Journal: Curr Heart Fail Rep ISSN: 1546-9530
Randomized clinical trials comparing telemedical monitoring vs. in-office only follow-up among patients with heart failure and cardiac implantable electronic devices
| Reference | Study sample | Follow-up [months] | Device type | Results | Findings |
|---|---|---|---|---|---|
| Varma [ | 1339 | 12 | ICD | Number of total in-hospital device evaluations: 2.1 vs. 3.8 ppy ( Adverse event (deaths, stroke and surgical intervention) rate: 10.4% in both groups ( Time from arrhythmic event to physician evaluation: 1 vs. 36 days ( | Telemedical monitoring reduces the number of in-hospital visits; and recudes the time to detection of arrhythmic events |
| Crossley [ | 1997 | 15 | ICD/CRT | Time from clinical event (arrhythmias, CV disease progression, and device malfunctions) to clinical decision: 4.6 vs. 22 days ( | Telemedical monitoring reduces the time to clinical decisions |
| van Veldhuisen[ | 335 | 14.9 | ICD/CRT | Composite of all-cause mortality and HF hospitalizations: 29% vs. 20%; HR 1.52 (95% CI 0.97–2.37) | Telemedical monitoring does not improve outcomes for HF patients |
| Landolina [ | 200 | 16 | ICD/CRT | Rate of emergency department or urgent in-office visits for HF, arrhythmias, or ICD-related events: 75 vs. 117 visits ( | Telemedical monitoring reduces the number of emergency department/urgent in-hospital visits |
| Hindricks [ | 664 | 12 | ICD/CRT | Worsened composite clinical score: 18.9% vs. 27.2%; OR: 0.63 (95% CI 0.43–0.90) Death: 3.0% vs. 8.2% | Telemonitoring improves clinical outcomes for HF patients |
| Heidbuchel[ | 303 | 24 | ICD | Total follow-up-related cost for providers: €204 vs. €213 ( | Telemedical monitoring does not reduce the costs for healthcare providers |
| Sardu [ | 191 | 12 | CRT | HF hospitalization: 15.7% vs. 28.7% HR: 0.6 (95% CI: 0.42–0.79) | Telemedical monitoring may predict HF hospitalization |
| Böhm [ | 1002 | 23 | ICD/CRT | Composite of death and CV hospitalization: 45% vs. 48.1%; HR 0.87 (95% CI 0.72–1.04) | Telemedical monitoring does not improve outcomes for HF patients |
| Morgan [ | 1650 | 24–42 | ICD/CRT | The primary endpoint (1st event of death from any cause or unplanned hospitalization for cardiovascular reasons): 42.4% vs. 40.8%; HR: 1.01 (95% CI: 0.87–1.18) | Telemedical monitoring does not improve outcomes for HF patients |
| Boriani [ | 865 | 24 | CRT | The primary endpoint (composite of death and cardiovascular and device-related hospitalization): 29.7% vs. 28.7%; HR: 1.02 (95% 0.80–1.30) − 41% reduction of in-person visits in telemonitoring group | Telemedical monitoring does not improve outcomes for HF patients Better use of healthcare resources and cost savings |
| Tajstra [ | 600 | 12 | ICD/CRT | The primary endpoint (composite of all-cause death and CV hospitalization): 39.5% vs. 48.5% OR 1.24 (95% CI 1.0–1.5) | Telemedical monitoring improves clinical outcomes for HF patients |
CI, confidence interval; CRT-D, cardiac resynchronization therapy; CV, cardiovascular; HF, heart failure; HR, hazard ratio; ICD, implantable cardioverter-defibrillator; NS, non-significant; OR, odds ratio; ppy, per patient-year
Studies among patients with heart failure and implanted CardioMEMS sensor
| Reference | Study design | Study sample | Follow-up [months] | Results | Findings |
|---|---|---|---|---|---|
| Abraham [ | RCT: wireless implantable monitoring system vs. control group | 550 | 15 | The rate of heart-failure-related hospitalisations at 6 months: 0.32 vs. 0.44; HR: 0.72 (95% CI 0.60–0·85, | PAP-guided therapy for HF reduces the rates of HF hospitalizations |
| Jermyn [ | Single-centre, prospective | 34 | 15 | The difference between rates of hospitalizations 1 year after compared with the 1 year before sensor implantation: HR: 0.16 (95% CI: 0.06 − 0.35) | PAP-guided therapy for HF reduces the rates of HF hospitalizations |
| Assaad [ | Single-centre, retrospective | 27 | 6–18 | The difference between rates of hospitalizations 1 year after compared with the 1 year before sensor implantation: 80.4 and 68.9% reduction in HF and all-cause admissions, respectively | PAP-guided therapy for HF reduces the rates of HF and all-cause hospitalizations |
| Abraham [ | Matched cohort study | 2174 | 12 | The rate of HF hospitalization was lower in the treatment cohort at 12 months postimplant HR: 0.76 (95% CI, 0.65–0.89; | PAP-guided therapy for HF reduces the rates of HF hospitalizations |
| Shavelle [ | Multi-centre, prospective | 1200 | 12 | The difference between rates of HF hospitalizations 1 year after compared with the 1 year before sensor implantation: 0.54 vs. 1.25 events/patient-years, HR: 0.43 (95% CI: 0.39–0.47) | PAP-guided therapy for HF reduces the rates of HF hospitalizations |
| Angermann [ | Multi-centre, prospective | 234 | 12 | The difference between rates of HF hospitalizations 1 year after compared with the 1 year before sensor implantation: 0.60 vs. 1.55 events/patient-year; HR: 0.38, (95% CI: 0.31–0.48, | PAP-guided therapy for HF reduces the rates of HF hospitalizations and improves the quality of life |
RCT, randomized control trial; HR, hazard ratio; CI, confidence interval; PAP, pulmonary artery pressure; HF, heart failure