Background: Most patients diagnosed with heart failure (HF) are older adults with multiple comorbidities. Multipathological patients constitute a population with common characteristics: greater clinical complexity and vulnerability, frailty, mortality, functional deterioration, polypharmacy, and poorer health-related quality of life with more dependency. Objectives: To evaluate the clinical characteristics of hospitalized patients with acute heart failure and to determine the prognosis of patients with acute heart failure according to the Short Physical Performance Battery (SPPB) scale. Methods: Observational, prospective, and multicenter cohort study conducted from September 2020 to May 2022 in patients with acute heart failure as the main diagnosis and NT-ProBNP > 300 pg. The cohort included patients admitted to internal medicine departments in 18 hospitals in Spain. Epidemiological variables, comorbidities, cardiovascular risk factors, cardiovascular history, analytical parameters, and treatment during admission and discharge of the patients were collected. Level of frailty was assessed by the SPPB scale, and dependence, through the Barthel index. A descriptive analysis of all the variables was carried out, expressed as frequencies and percentages. A bivariate analysis of the SPPB was performed based on the score obtained (SPPB ≤ 5 and SPPB > 5). For the overall analysis of mortality, HF mortality, and readmission of patients at 30 days, 6 months, and 1 year, Kaplan–Meier survival curves were used, in which the survival experience among patients with an SPPB > 5 and SPPB ≤ 5 was compared. Results: A total of 482 patients were divided into two groups according to the SPPB with a cut-off point of an SPPB < 5. In the sample, 349 patients (77.7%) had an SPPB ≤ 5 and 100 patients (22.30%) had an SPPB > 5. Females (61%) predominated in the group with an SPPB ≤ 5 and males (61%) in those with an SPPB > 5. The mean age was higher in patients with an SPPB ≤ 5 (85.63 years). Anemia was more frequent in patients with an SPPB ≤ 5 (39.5%) than in patients with an SPPB ≥ 5 (29%). This was also seen with osteoarthritis (32.7%, p = 0.000), diabetes (49.6%, p = 0.001), and dyslipidemia (69.6%, p = 0.011). Patients with an SPPB score > 5 had a Barthel index < 60 in only 4% (n = 4) of cases; the remainder of the patients (96%, n = 96) had a Barthel index > 60. Patients with an SPPB > 5 showed a higher probability of survival at 30 days (p = 0.029), 6 months (p = 0.031), and 1 year (p = 0.007) with (OR = 7.07; 95%CI (1.60–29.80); OR: 3.9; 95%CI (1.30–11.60); OR: 6.01; 95%CI (1.90–18.30)), respectively. No statistically significant differences were obtained in the probability of readmission at 30 days, 6 months, and 1 year (p > 0.05). Conclusions: Patients admitted with acute heart failure showed a high frequency of frailty as assessed by the SPPB. Patients with an SPPB ≤ 5 had greater comorbidities and greater functional limitations than patients with an SPPB > 5. Patients with heart failure and a Barthel index > 60 frequently presented an SPPB < 5. In daily clinical practice, priority should be given to performing the SPPB in patients with a Barthel index > 60 to assess frailty. Patients with an SPPB ≤ 5 had a higher risk of mortality at 30 days, 6 months, and 1 year than patients with an SPPB ≤ 5. The SPPB is a valid tool for identifying frailty in acute heart failure patients and predicting 30-day, 6-month, and 1-year mortality.

Background and Objectives: The prevalence and incidence of heart failure (HF) have been increasing in recent years as the population ages. These patients show a distinct profile of comorbidity, which makes their care more complex. In recent years, the PROFUND index, a specific tool for estimating the mortality rate at one year in pluripathology patients, has been developed. The aim of this study was to evaluate the prognostic value of the PROFUND index and of in-hospital and 30-day mortality after discharge of patients admitted for acute heart failure (AHF). Materials and Methods: A prospective multicenter longitudinal study was performed that included patients admitted with AHF and ≥2 comorbid conditions. Clinical, analytical, and prognostic variables were collected. The PROFUND index was collected in all patients and rates of in-hospital and 30-day mortality after discharge were analyzed. A bivariate analysis was performed with quantitative variables between patients who died and those who survived at the 30-day follow-up. A logistic regression analysis was performed with the variables that obtained statistical significance in the bivariate analysis between deceased and surviving subjects. Results: A total of 128 patients were included. Mean age was 80.5 +/− 9.98 years, and women represented 51.6%. The mean PROFUND index was 5.26 +/− 4.5. The mortality rate was 8.6% in-hospital and 20.3% at 30 days. Preserved left ventricular ejection fraction was found in 60.9%. In the sample studied, there were patients with a PROFUND score < 7 predominated (89 patients (70%) versus 39 patients (31%) with a PROFUND score ≥ 7). Thirteen patients (15%) with a PROFUND score < 7 died versus the 13 (33%) with a PROFUND score ≥ 7, p = 0.03. Twelve patients (15%) with a PROFUND score < 7 required readmission versus 12 patients (35%) with a PROFUND score ≥ 7, p = 0.02. The ROC curve of the PROFUND index for in-hospital mortality and 30-day follow-up in patients with AHF showed AUC 0.63, CI: 95% (0.508–0.764), p <0.033. Conclusions: The PROFUND index is a clinical tool that may be useful for predicting short-term mortality in elderly patients with AHF. Further studies with larger simple sizes are required to validate these results.

Background and objectives: Patients with heart failure (HF) often present with non-valvular atrial fibrillation and require oral anticoagulation with coumarin anticoagulants such as acenocoumarol. The objective of this study was to evaluate the relationship between time in therapeutic range (TTR) and the risk of early readmission. Materials and Methods: A retrospective descriptive study was carried out on hospitalized patients with a diagnosis of HF between 2014 and 2018 who had adverse effects due to oral anticoagulation with acenocoumarol (underdosing, overdosing, or hemorrhage). Clinical, analytical, therapeutic, and prognostic variables were collected. TTR is defined as the duration of time in which the patient’s International Normalized Ratio (INR) values were within a desired range. Early readmission was defined as readmission within 30 days after hospital discharge. Patients were divided into two groups depending on whether or not they had a TTR less than 60% (TTR < 60%) over the 6 months prior to the adverse event. Results: In the cohort of 304 patients, the mean age was 82 years, 59.9% of the patients were female, and 54.6% had a TTR < 60%. Patients with TTR < 60% had a higher HAS-BLED score (4.04 vs. 2.59; p < 0.001) and INR (6 vs. 5.31; p < 0.05) but lower hemoglobin (11.67 vs. 12.22 g/dL; p < 0.05). TTR < 60% was associated with early readmission after multivariate analysis (OR: 2.05 (CI 95%: 1.16–3.61)). They also had a higher percentage of hemorrhagic events and in-hospital mortality but without reaching statistical significance. Conclusions: Patients with HF and adverse events due to acenocoumarol often have poor INR control, which is independently associated with a higher risk of early readmission.

Background: Frailty is a major determinant of adverse outcomes in older adults with cardiovascular disease. Automated digital tools may facilitate routine frailty assessment in hospital settings; however, their validity and prognostic relevance in acutely hospitalized patients remain insufficiently established. Methods: In this prospective cohort study, 113 hospitalized cardiology patients underwent frailty assessment using both manual Short Physical Performance Battery (mSPPB) and an automated electronic SPPB (eSPPB) system. Agreement between methods was evaluated using Pearson correlation, intraclass correlation coefficients (ICCs), and Bland–Altman analysis. Frailty was defined as SPPB < 5. The association between frailty and 30-day mortality was assessed using logistic regression and Kaplan–Meier survival analysis. Results: Seventeen patients (15.0%) were classified as frail. Automated and manual SPPB scores were highly correlated (r = 0.994, p < 0.001) and demonstrated good agreement (ICC = 0.80). Bland–Altman analysis showed a mean difference of −1.63 points (95% limits of agreement −4.41 to 1.16). Frailty was associated with significantly higher 30-day mortality (17.6% vs. 2.1%, p = 0.009), corresponding to a tenfold increase in mortality odds (OR 10.07; 95% CI 1.5–67.5). An exploratory model showed apparent discriminative performance (AUC 0.83; 95% CI 0.71–0.95). Conclusions: Automated eSPPB demonstrated good agreement with manual assessment and was significantly associated with short-term mortality in hospitalized cardiovascular patients. These findings support the validity and potential clinical utility of automated frailty assessment for risk stratification in acute cardiology settings.