Long-term impact of home-based monitoring after an admission for acute decompensated heart failure: a systematic review and meta-analysis of randomised controlled trials

被引:3
作者
Clemente, Mariana R. C. [1 ]
Felix, Nicole [2 ]
Navalha, Denilsa D. P. [3 ]
Pasqualotto, Eric [4 ]
Ferreira, Rafael Oliva Morgado [4 ]
Braga, Marcelo A. P. [5 ]
Nogueira, Alleh [6 ]
Costa, Thomaz Alexandre [7 ]
Marinho, Alice D. [8 ]
Fernandes, Amanda [9 ]
机构
[1] Petropolis Sch Med, Av Barao Rio Branco,1003 Centro, Petropolis, RJ, Brazil
[2] Univ Fed Campina Grande, Campina Grande, Brazil
[3] Eduardo Mondlane Univ, Maputo, Mozambique
[4] Univ Fed Santa Catarina, Florianopolis, Brazil
[5] Univ Fed Rio De Janeiro, Rio De Janeiro, Brazil
[6] Bahiana Sch Med & Publ Hlth, Salvador, Brazil
[7] Univ Fed Ceara, Fortaleza, Brazil
[8] Fed Univ State Rio De Janeiro, Rio De Janeiro, Brazil
[9] Boston Med Ctr, Div Cardiol, Boston, MA USA
关键词
Home-based monitoring; Remote monitoring; Heart failure; Acute decompensated heart failure; ELDERLY-PATIENTS; MANAGEMENT; HOSPITALIZATION; READMISSION; MULTICENTER; CARE;
D O I
10.1016/j.eclinm.2024.102541
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Patients with heart failure have high rehospitalisation rates and poor cardiovascular outcomes. Homebased monitoring (HBM) has emerged with promising results in different settings. However, its long-term effects on patients recently admitted for acute decompensated heart failure (ADHF) remain uncertain. Methods We systematically searched PubMed, Embase, and Cochrane Library for randomised controlled trials (RCTs) comparing HBM with usual care (UC) that were published between database inception and June 24, 2023. We included studies with patients admitted for ADHF in the previous 6 months and with a minimum follow-up of 6 months. We excluded studies with patients hospitalised for reasons other than ADHF and studies with disproportional education interventions between arms. Statistical analyses were performed using R software version 4.3.2. We pooled risk ratios (RR) and mean differences (MD) with 95% con fi dence intervals (CI) for categorical and continuous outcomes, respectively. Cochrane Collaboration ' s tool for assessing risk of bias in RCTs (RoB 2) was used to assess study quality. Publication bias was assessed via funnel plots and Egger ' s test, and heterogeneity was assessed through I 2 statistics and sensitivity analysis. The protocol for this systematic review and meta-analysis was registered in the International Prospective Register of Systematic Reviews (PROSPERO, CRD42023465359). Findings We included 16 RCTs comprising 4629 patients, of whom 2393 (51.7%) were randomised to HBM and 3150 (68%) were men. Follow-up ranged from six to fi fteen months. As compared with UC, HBM signi fi cantly reduced allcause mortality (RR 0.75; 95% CI 0.61, 0.91; p = 0.005), all-cause hospitalisations (RR 0.82; 95% CI 0.70, 0.97; p = 0.018), cardiovascular (CV) mortality (RR 0.53; 95% CI 0.36, 0.79; p = 0.002), hospitalisations for heart failure (RR 0.75; 95% CI 0.62, 0.91; p = 0.004), and CV hospitalisations (RR 0.72; 95% CI 0.55, 0.95; p = 0.018). There were no signi fi cant differences in length of hospital stay (MD 0.97 days; 95% CI -0.90, 2.84; p = 0.308). Interpretation In patients recently admitted with ADHF, HBM signi fi cantly reduces long-term all-cause mortality and hospitalisations, CV mortality and hospitalisations, and hospitalisations for heart failure, as compared with UC. This supports the implementation of HBM as a standard practice to optimise patient outcomes following admissions for ADHF. However, future studies are warranted to evaluate the ef fi cacy and safety of implementing HBM in the realworld setting.
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页数:12
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