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- From wristbands to implants: the transformative role of wearables in heart failure carePublication . Gregório, Catarina; Agostinho, João R.; Rigueira, Joana; Santos, Rafael; Pinto, Fausto J.; Brito, DulceBackground: Heart failure (HF) management increasingly relies on innovative solutions to enhance monitoring and care. Wearable devices, originally popularized for fitness tracking, show promise in clinical decision-making for HF. This study explores the application and potential for the broader integration of wearable technology in HF management, emphasizing remote monitoring and personalized care. Methods: A comprehensive literature review was performed to assess the role of wearables in HF management, focusing on functionalities like vital sign tracking, patient engagement, and clinical decision support. Clinical outcomes and barriers to adopting wearable technology in HF care were critically analyzed. Results: Wearable devices increasingly track physiological parameters relevant to HF, such as heart rate, physical activity, and sleep. They can identify at-risk patients, promote lifestyle changes, facilitate early diagnosis, and accurately detect arrhythmias that lead to decompensation. Additionally, wearables may assess fluid status, identifying early signs of decompensation to prevent hospitalization and supporting therapeutic adjustments. They also enhance physical activity and optimize cardiac rehabilitation programs, improving patient outcomes. Both wearable and implanted cardiac devices enable continuous, non-invasive monitoring through small devices. However, challenges like data integration, regulatory approval, and reimbursement impede their widespread adoption. Conclusions: Wearable technology can transform HF management through continuous monitoring and early interventions. Collaboration among involved parties is essential to overcome integration challenges and validate most of these devices in clinical practice.
- The value of multiparametric prediction scores in heart failure varies with the type of follow‐up after discharge: a comparative analysisPublication . Rodrigues, Tiago; Agostinho, João R.; Santos, Rafael; Cunha, Nelson; Silvério António, Pedro; Couto Pereira, Sara Cristina; Brito, Joana; Valente Silva, Beatriz; Silva, Pedro; Rigueira, Joana; Pinto, Fausto J.; Brito, DulceAims: Multiple prediction score models have been validated to predict major adverse events in patients with heart failure. However, these scores do not include variables related to the type of follow-up. This study aimed to evaluate the impact of a protocol-based follow-up programme of patients with heart failure regarding scores accuracy for predicting hospitalizations and mortality occurring during the first year after hospital discharge. Methods and results: Data from two heart failure populations were collected: one composed of patients included in a protocol-based follow-up programme after an index hospitalization for acute heart failure and a second one-the control group-composed of patients not included in a multidisciplinary HF management programme after discharge. For each patient, the risk of hospitalization and/or mortality within a period of 12 months after discharge was calculated using four different scores: BCN Bio-HF Calculator, COACH Risk Engine, MAGGIC Risk Calculator, and Seattle Heart Failure Model. The accuracy of each score was established using the area under the receiver operating characteristic curve (AUC), calibration graphs, and discordance calculation. AUC comparison was established by the DeLong method. The protocol-based follow-up programme group included 56 patients, and the control group, 106 patients, with no significant differences between groups (median age: 67 years vs. 68.4 years; male sex: 58% vs. 55%; median ejection fraction: 28.2% vs. 30.5%; functional class II: 60.7% vs. 56.2%, I: 30.4% vs. 31.9%; P = not significant). Hospitalization and mortality rates were significantly lower in the protocol-based follow-up programme group (21.4% vs. 54.7%; P < 0.001 and 5.4% vs. 17.9%; P < 0.001, respectively). When applied to the control group, COACH Risk Engine and BCN Bio-HF Calculator had, respectively, good (AUC: 0.835) and reasonable (AUC: 0.712) accuracy to predict hospitalization. There was a significant reduction of COACH Risk Engine accuracy (AUC: 0.572; P = 0.011) and a non-significant accuracy reduction of BCN Bio-HF Calculator (AUC: 0.536; P = 0.1) when applied to the protocol-based follow-up programme group. All scores showed good accuracy to predict 1 year mortality (AUC: 0.863, 0.87, 0.818, and 0.82, respectively) when applied to the control group. However, when applied to the protocol-based follow-up programme group, a significant predictive accuracy reduction of COACH Risk Engine, BCN Bio-HF Calculator, and MAGGIC Risk Calculator (AUC: 0.366, 0.642, and 0.277, P < 0.001, 0.002, and <0.001, respectively) was observed. Seattle Heart Failure Model had non-significant reduction in its acuity (AUC: 0.597; P = 0.24). Conclusions: The accuracy of the aforementioned scores to predict major events in patients with heart failure is significantly reduced when they are applied to patients included in a multidisciplinary heart failure management programme.
- Protocol-based follow-up program for heart failure patients : impact on prognosis and quality of lifePublication . Agostinho, João R.; Gonçalves, Inês; Rigueira, Joana; Aguiar-Ricardo, Inês; Nunes-Ferreira, Afonso; Santos, Rafael; Guimarães, Tatiana; Alves, Pedro; Cunha, Nelson; Rodrigues, Tiago; André, ŃZinga; Pedro, Mónica; Veiga, Fátima; Pinto, Fausto J.; Brito, DulceIntroduction: Heart failure is associated with high rates of readmission and mortality, and there is a need for measures to improve outcomes. This study aims to assess the impact of the implementation of a protocol-based follow-up program for heart failure patients on readmission and mortality rates and quality of life. Methods: A quasi-experimental study was performed, with a prospective registry of 50 consecutive patients discharged after hospitalization for acute heart failure. The study group was followed by a cardiologist at days 7-10 and the first, third, sixth and 12th month after discharge, with predefined procedures. The control group consisted of patients hospitalized for heart failure prior to implementation of the program and followed on a routine basis. Results: No significant differences were observed between the two groups regarding mean age (67.1±11.2 vs. 65.8±13.4 years, p=0.5), NYHA functional class (p=0.37), or median left ventricular ejection fraction (27% [19.8-35.3] vs. 29% [23.5-40]; p=0.23) at discharge. Mean follow-up after discharge was similar (11±5.3 vs. 10.9±5.5 months, p=0.81). The protocol-based follow-up program was associated with a significant reduction in allcause readmission (26% vs. 60%, p=0.003), heart failure readmission (16% vs. 36%, p=0.032), and mortality (4% vs. 20%, p=0.044). In the study group there was a significant improvement in all quality of life measures (p<0.001). Conclusion: A protocol-based follow-up program for patients with heart failure led to a signif-icant reduction in readmission and mortality rates, and was associated with better quality of life.
- Heart and brain interactions in heart failure: cognition, depression, anxiety, and related outcomesPublication . Rigueira, Joana; Agostinho, João R.; Aguiar-Ricardo, Inês; Gonçalves, Inês; Santos, Rafael; Nunes-Ferreira, Afonso; Rodrigues, Tiago; Cunha, Nelson; André, N’Zinga; Pires, Raquel; Veiga, Fátima; Mendes Pedro, Mónica; Pinto, Fausto J.; Brito, DulceBackground: Cognitive impairment, anxiety and depression are common in heart failure (HF) patients and its evolution is not fully understood. Objectives: To assess the cognitive status of HF patients over time, its relation to anxiety and depression, and its prognostic impact. Methods: Prospective, longitudinal, single center study including patients enrolled in a structured program for follow-up after hospital admission for HF decompensation. Cognitive function, anxiety/depression state, HF-related quality of life (QoL) were assessed before discharge and during follow-up (between 6th and 12th month) using Montreal Cognitive Assessment (MoCA), Hospital Anxiety and Depression Scale (HADS) and Kansas City Cardiomyopathy Questionnaire, respectively. HF related outcomes were all cause readmissions, HF readmissions and the composite endpoint of all-cause readmissions or death. Results: 43 patients included (67±11.3 years, 69% male); followed-up for 8.2±2.1 months. 25.6% had an abnormal MoCA score that remained stable during follow-up (22.6±4.2 vs. 22.2±5.5; p=NS). MoCA score <22 at discharge conferred a sixfold greater risk of HF readmission [HR=6.42 (1.26-32.61); p=0.025], also predicting all-cause readmissions [HR=4.00 (1.15-13.95); p=0.03] and death or all-cause readmissions [HR=4.63 (1.37-15.67); p=0.014]. Patients with higher MoCA score showed a greater ability to deal with their disease (p=0.038). At discharge, 14% and 18.6% had an abnormal HADS score for depression and anxiety, respectively, which remained stable during follow-up and was not related to MoCA. Conclusions: Cognitive function, anxiety and depressive status remain stable in HF patients despite optimized HF therapy. Cognitive status shall be routinely screened to adopt attitudes that improve management as it has an impact on HF-related QoL and prognosis.
- Non‐invasive telemonitoring improves outcomes in heart failure with reduced ejection fraction : a study in high‐risk patientsPublication . Nunes-Ferreira, Afonso; Agostinho, João R.; Rigueira, Joana; Aguiar-Ricardo, Inês; Guimarães, Tatiana; Santos, Rafael; Rodrigues, Tiago; Cunha, Nelson; António, Pedro Silvério; Couto Pereira, Sara Cristina; Morais, Pedro; Mendes Pedro, Mónica; Veiga, Fátima; Pinto, Fausto J.; Brito, DulceAims: Non-invasive telemonitoring (TM) in patients with heart failure (HF) and reduced left ventricular ejection fraction (HFrEF) may be useful in the early diagnosis of HF decompensation, allowing therapeutic optimization and avoiding re-hospitalization. We describe a TM programme in this population and evaluate its effectiveness during a 12 month period. Methods and results: We conducted a single-centre study of patients discharged from hospital after decompensated HF, allocated into three groups: prospective TM programme, prospective HF protocol follow-up programme (PFP) with no TM facilities, and retrospective propensity-matched usual care (UC). TM effectiveness was assessed by all-cause hospitalizations and mortality; HF-related hospitalization (HFH), days lost to unplanned hospital admissions/death, functional capacity and quality of life (New York Heart Association, Kansas City Cardiomyopathy Questionnaire, 6 min walk test, and plasma N-terminal pro-brain natriuretic peptide) were also evaluated. A total of 125 patients were included [65.9 ± 11.9 years, 32% female, left ventricular ejection fraction 27% (21-32)]. TM was similar to PFP regarding effectiveness; TM reduced all-cause hospitalization and mortality (HR 0.27; 95% CI 0.11-0.71; P < 0.01) and HFH (HR 0.29; 95% CI 0.10-0.89; P < 0.05) as compared with UC. TM reduced the average number of days lost due to unplanned hospital admissions or all-cause death as compared with PFP (5.6 vs. 12.4 days, P < 0.05) and UC (5.6 vs. 48.8 days, P < 0.01). Impact on quality of life was similar between TM and PFP (P = 0.36). Conclusions: In patients with HFrEF and recent HF hospitalization, non-invasive TM reduced 12 month all-cause hospitalization/mortality and HFH as compared with usual care. TM also reduced the number of days lost due to unplanned hospital admission/death as compared with either an optimized protocol-based follow-up programme or usual care.