Background/Objectives: Vaccination programs are essential for preventing infectious diseases, yet the effectiveness of these programs varies significantly across Central and Eastern European countries due to diverse socio-economic, cultural, and political influences. This study examines vaccination trends in Hungary, Slovakia, Romania, the Czech Republic, Poland, Ukraine, and Lithuania, focusing on misinformation, regional healthcare disparities, and socio-cultural factors on vaccination rates. Methods: A comprehensive review of national policies, vaccination rates, and factors influencing vaccine hesitancy was conducted across seven Central and Eastern European countries. Input from local health stakeholders and national data sources was analysed to contextualize vaccination patterns and challenges. Results: Significant cross-country variation was observed. Hungary and the Czech Republic reported consistently high coverage of mandatory childhood vaccinations, while Romania and Ukraine experienced severe declines in uptake, leading to outbreaks of measles and polio. Slovakia demonstrated low COVID-19 vaccination willingness, and Poland recorded a sharp increase in formal vaccine refusals. Conversely, Lithuania implemented successful campaigns that improved uptake, particularly for influenza and pneumococcal vaccines. Differences were influenced by healthcare system structure, public trust, exposure to misinformation, and digital communication strategies. Conclusion: Addressing vaccine hesitancy requires targeted, context-sensitive communication and digital literacy programs. Additionally, policy reforms to enhance accessibility, particularly in rural areas, and real-time monitoring systems can strengthen vaccination rates. Cross-border collaboration and tailored public health campaigns addressing cultural and socio-economic challenges are necessary to improve immunization coverage in these regions.

Myocardial infarction (MI) is a common cause of cardiovascular deaths. Education of patients with myocardial infarctions essential to prevent further cardiovascular events and reduce the risk of mortality. The study aimed to evaluate the associations between patients’ readiness for hospital discharge after myocardial infarction, acceptance of illness, social, demographic, and clinical factors. The study used a cross-sectional design and included 102 patients, who were hospitalized for myocardial infarction after percutaneous coronary intervention (PCI). Two questionnaires were used: The Readiness for Hospital Discharge After Myocardial Infarction Scale (RHD-MIS) and Acceptance of Illness Scale (AIS). Low readiness characterized nearly half of patients (47.06%), 27.45% of patients showed an intermediate level of readiness, while 25.49% of patients had high readiness. Readiness for hospital discharge was higher among younger patients, respondents living in relationships, living with a family, with tertiary or secondary education, and professionally active. Acceptance of illness was higher among male patients, respondents living in relationships, and family, with secondary education and professionally active. The AIS score positively correlated with readiness for hospital discharge.

Introduction: In a long-term approach to the treatment of heart failure, importance is given to the process of self-care management and behaviors. The number of rehospitalizations and unscheduled medical visits can be reduced by actively engaging patients in the self-care process. Methods: The study included 403 patients with chronic heart failure (mean LVEF 40.53%), hospitalized in the Cardiology Department. Medical record analysis and a self-report questionnaire were used to obtain basic sociodemographic and clinical data. The European Heart Failure Self-care Behavior Scale, revised into a nine-item scale (EHFScBS-9), was used to evaluate self-care behavior. Results: Analysis of the EHFSc-9 self-care behavior scale showed that the mean score was 49.55 out of 100 possible points (SD = 22.07). Univariate analysis revealed that significant (p < 0.05) negative predictors of the EHFScB-9 self-care scale included: male sex (b = −5146), hospitalizations in the last year (b = −5488), NYHA class II (b = −11,797) and NYHA IV class (b = −15,196). The multivariate linear regression model showed that a significant (p ˂ 0.05) negative predictor of the EHFScB-9 self-care scale was male sex (b = −5.575). Conclusions: Patients with chronic HF achieve near optimal self-care behavior outcomes. A patient prepared to engage with self-care will have fewer rehospitalizations and a better quality of life.

Frailty is common among heart failure (HF) patients and linked to increased risk of adverse outcomes. Contributing factors include inflammation, sarcopenia and neurohormonal issues which diminish physiological reserves and accelerate the decline of health. Managing frailty in HF requires a multidisciplinary approach to address physical, nutritional and pharmacological needs. Structured exercise and dietary support can improve physical function, while careful medication management, especially with polypharmacy, reduces frailty-related risks. Telemedicine and wearable tech facilitate continuous monitoring and timely intervention, especially for those in remote areas. Future research should develop standardised frailty assessment tools specific to HF, enhancing risk stratification and personalised care. Studies on underlying mechanisms, such as inflammation and mitochondrial dysfunction, could lead to new therapies. Addressing socioeconomic factors can also improve care equity. This review summarises the mechanisms, clinical characteristics and impact of frailty on HF, highlighting challenges in treatment and opportunities for improving patient outcomes.

Background: Contemporarily, cardiac arrest (CA) remains one of the leading causes of death. Poor nutritional status can increase the post-CA mortality risk. The aim of this study was to determine the relationship between body mass index (BMI) and Nutritional Risk Score 2002 (NRS 2002) results and in-hospital mortality in patients admitted to the intensive care unit (ICU) after in-hospital and out-of-hospital cardiac arrest. Methods: A retrospective study and analysis of medical records of 161 patients admitted to the ICU of the University Clinical Hospital in Wrocław (Wrocław, Poland) was conducted. Results: No significant differences in body mass index (BMI) and nutritional risk score (NRS 2002) values were observed between non-survivors and survivors. Non-survivors had significantly lower albumin concentration (p = 0.017) and total cholesterol (TC) (p = 0.015). In multivariate analysis BMI and NRS 2002 scores were not, per se, associated with the in-hospital mortality defined as the odds of death (Model 1: p: 0.700, 0.430; Model 2: p: 0.576, 0.599). Univariate analysis revealed significant associations between the hazard ratio (HR) and TG (p ≈ 0.017, HR: 0.23) and hsCRP (p ≈ 0.018, HR: 0.34). In multivariate analysis, mortality risk over time was influenced by higher scores in parameters such as BMI (HR = 0.164; p = 0.048) and hsCRP (HR = 1.006, p = 0.002). Conclusions: BMI and NRS 2002, on their own (unconditionally – in the whole study group) did not alter the odds of mortality in patients admitted to the intensive care unit (ICU) after in-hospital and out-of-hospital cardiac arrest. The risk of in-hospital mortality (expressed as hazard ratio – the risk over the time period of the study) increased with an increase in BMI but not with NRS 2002.

Frailty syndrome (FS) often coexists with many diseases of the elderly, including arterial hypertension, and may affect the disease course and adherence to therapeutic recommendations. This study aimed to evaluate the relationship between frailty and adherence to therapeutic recommendations in elderly hypertensive patients. The study included 259 patients hospitalized between January 2019 and November 2020 due to exacerbation of hypertension symptoms. Medical records were used to obtain basic sociodemographic and clinical data. The study was based on the Tilburg Frailty Indicator (TFI) and the Hill–Bone Scale (HBCS). The obtained data were analyzed within a cross-sectional design. The mean frailty score indicated by the TFI questionnaire was 7.09 ± 3.73. The most prominent FS component was associated with the physical domain (4.24 ± 2.54). The mean overall adherence measured with the HBCS was 20.51 ± 3.72. The linear regression model testing the Hill–Bone “reduced sodium intake” score against the TFI domains showed no relationships between the variables. Another regression model for the Hill–Bone “appointment-keeping” subscale indicated significant predictors for physical and social TFI domains (p = 0.002 and p < 0.0001, respectively). For the Hill–Bone “taking antihypertensive drugs” variable, the regression model found significant relationships with all TFI domains: physical (p < 0.0001), psychological (p = 0.003) and social (p < 0.0001). Our study suggests that frailty in patients with arterial hypertension can negatively impact their adherence to therapeutic recommendations.