Cardiovascular diseases (CVD) affect 60% of people over 60 years of age and are one of the main causes of death in the world. Diagnosed cardiovascular disease also triples the likelihood of Frailty syndrome (FS). FS has become increasingly relevant in cardiology and cardiac surgery and occurs in a significant number of patients with CVD, with prevalence ranging from 25% to 62%. Viewed in a multidimensional, biopsychosocial perspective, FS increases a patient’s vulnerability, making them susceptible to several adverse clinical outcomes. Frailty syndrome also is a predictor of mortality in patients with CVD regardless of age, severity of disease, multi-morbidity, and disability. Frailty syndrome potentially can be prevented in patients with CVD and its early identification is important to avoid the development of disability, dependence on others and reduced quality of life. The aim of this paper is to show the relationship between FS and specific CVDs (coronary artery disease, hypertension, atrial fibrillation, heart failure) and cardiac procedures (device implantation, cardiac surgery, and transcatheter aortic valve implantation). Furthermore, we highlight those areas that require further research to fully understand the relationship between FS and CVD and to be able to minimize or prevent its adverse effects.

Background: Nutritional status is related to the prognosis and length of hospital stay (LOS) of patients with hypertension (HT). This study aimed to assess how nutritional status and body mass index (BMI) affect LOS for patients with hypertension. Method: We performed a retrospective analysis of 586 medical records of patients who had been admitted to the Institute of Heart Diseases of the University Clinical Hospital in Wroclaw, Poland. Results: A total of 586 individuals were included in the analysis. Individuals who were at a nutritional risk represented less than 2% of the study population, but more than 60% were overweight or obese. The mean BMI was 28.4 kg/m² (SD: 5.16). LOS averaged 3.53 days (SD = 2.78). In the case of obese individuals, hospitalisation lasted for 3.4 ± 2.43 days, which was significantly longer than for patients of normal weight. For underweight patients, hospitalisation lasted for 5.14 ± 2.27 days, which was also significantly longer than for those in other BMI categories (p = 0.017). The independent predictors of shorter hospitalisations involved higher LDL concentration (parameter of regression: −0.015) and HDL concentration (parameter of regression: −0.04). Conclusions: The study revealed that with regard to the nutritional status of hypertensive patients, being either underweight or obese was associated with longer LOS. Additional factors that related to prolonged LOS were lower LDL and HDL levels and higher CRP concentrations.

Pathological processes associated with ageing increase the risk of cognitive deficits and dementia. Frailty syndrome, also known as weakness or reserve depletion syndrome, may significantly accelerate these pathological processes in the elderly population. Frailty syndrome is characterized by...

Background/Objectives: Heart failure (HF) is a significant public health issue with high morbidity and mortality rates. This study aims to investigate the interrelationships between frailty, cognitive impairment, and depression in older adults with HF, specifically focusing on how the physical and neuropsychiatric dimensions of frailty contribute to cognitive decline. Methods: This study included 250 patients aged 60 years or older, diagnosed with HF and hospitalized for acute decompensated HF. The patients were assessed using standardized protocols for frailty, cognitive function, and depression. The frailty was evaluated using Fried’s phenotype criteria, cognitive function with MMSE and MoCA, and depression and anxiety with HADS and PHQ-9. Statistical analyses included univariable and multivariable linear regression to identify the predictors of frailty. Results: Of the 250 patients, 151 (60.4%) were identified as frail. The frail patients were older (mean age 73.58 ± 6.80 years) compared to the non-frail patients (mean age 70.39 ± 6.16 years, p = 0.0002). Significant differences were observed in the NYHA class, length of the hospital stay, and prevalence of diabetes mellitus. The frail patients had worse cognitive (MMSE: 27.39 ± 2.12 vs. 28.13 ± 1.72, p = 0.004; MoCA: 24.68 ± 3.65 vs. 25.64 ± 3.98, p = 0.050) and psychological outcomes (higher prevalence of marked depression based on HADS categories: 8.61% vs. 1.01%, p = 0.021; and PHQ-9 categories: severe depression: 2.65% vs. 1.01%, p < 0.001). Conclusions: Age, C-reactive protein (CRP) levels, and anxiety were identified as independent predictors of frailty in the patients with heart failure. Depression, cognitive dysfunction, and the length of the hospital stay showed significant differences between the frail and non-frail patients in the group comparisons but were not independent predictors.

Heart failure (HF) affects 64 million people worldwide and is one of the most prevalent causes of hospitalization in adults. Infection is believed to be one of the potential triggers that may facilitate HF decompensation and the need for hospitalization. Therefore, it seems crucial to safeguard against such a situation. Vaccinations seem to be a very reasonable option. However, this remains an underutilized solution among HF patients. This review investigates the impact of available vaccinations, including influenza, COVID-19, pneumococcal, and RSV, on prognosis in specific HF populations only, as there are pathophysiological reasons to believe that this population of patients may benefit the most from the intervention. It will provide information about the safety profile of these vaccines and summarize the available evidence on their impact on hard clinical outcomes. In summary, this article will discuss the impact of preventive vaccinations against seasonal infections in the HF population.

Introduction: Hypertension (HT) is one of the world’s most important health problems. This study aimed to identify and characterize multimorbidity clusters in hypertensive patients and to assess which characteristics were responsible for length of hospital stay (LOHS).Material and methods: Data were obtained from 489 patients admitted to the cardiology department with HT as the main diagnosis. The Partitioning Around Medoids method was used to divide patients into 12 clusters. Dissimilarity between patients was measured using the Gower distance. The number of clusters was determined using the silhouette method.Results: It was noted that myocardial infarction (MI) patients were significantly older than patients without comorbidities and patients from clusters 2, 3, 7, 8, and 10. In addition, patients with diabetes mellitus (DM) only and patients with DM, heart failure (HF), and obesity were significantly older than patients who were only obese. LOHS was significantly longer in patients with HF than in patients from clusters 1, 2, 5, 7, and 10; patients with chronic kidney disease (CKD) but without HF than in clusters 1, 5, and 7; patients with HF and obesity than in clusters 1 and 7; and patients with obesity and DM as well as patients with DM, HF, and often obesity than in patients without comorbidities.Conclusions: The presence of additional health conditions impacts the duration of hospital stays for individuals with HT. The conditions HF, CKD, DM and obesity can lead to extended hospitalization. Patients’ clinical profiles provided sufficient insights to predict the necessity for prolonged and more costly medical care.