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- Association of LDL-cholesterol with prognosis in patients admitted for acutely decompensated heart failurePublication . Brito, Joana; Rin, João; Duarte, Catarina; Couto Pereira, Sara Cristina; Morais, Pedro; Cunha, Nelson; Ferreira, Diogo; Santos, Rafael; Rigueira, Joana; Pinto, Fausto J.; Brito, DulceIntroduction and objectives: The association of low-density lipoprotein cholesterol (LDL-C) levels and prognosis in patients with heart failure (HF) remains uncertain. This study aimed to evaluate the prognostic significance of LDL-C in patients admitted for acutely decompensated HF and establish a safety cut-off value in this population. Methods: This retrospective, observational study included 167 consecutive patients admitted for acute HF. LDL-C levels were measured on hospital admission, and patients were categorized according to their estimated cardiovascular (CV) risk. The primary endpoint was all-cause mortality at one-year, while secondary endpoints included HF hospitalizations, major thrombotic events, and net clinical benefit. Results: During the follow-up period, 14.4% of patients died. Higher LDL-C levels were independently associated with improved survival, with a 4-fold increase in survival probability for each 1 mg/dL increase in serum LDL-C. The minimum LDL-C value not associated with increased mortality risk was 88 mg/dL. Patients with LDL-C below this cut-off had a significantly higher risk of mortality and a tendency for higher HF hospitalization risk. The net clinical benefit endpoint was also influenced by LDL-C levels, with LDL-C below 88 mg/dL associated with an increased risk of events. Conclusion: In patients admitted for acutely decompensated HF, higher LDL-C levels were associated with reduced risk of mortality. An LDL-C value below 88 mg/dL was associated with increased mortality, suggesting the need for a more liberal LDL-C target in this specific patient population. These findings highlight the importance of considering LDL-C levels in the management and risk assessment of patients with HF.
- 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.
- 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.