(1) Background: Toxoplasma gondii infects approximately one third of the world’s human population. The seroepidemiology of T. gondii in cardiovascular patients is poorly discussed in the existing literature. We aimed to evaluate, for the first time, the seroprevalence of T. gondii in cardiovascular patients from Western Romania. (2) Methods: Serologic testing to demonstrate the presence of T. gondii antibodies was conducted in 256 patients with cardiovascular diseases and 261 matched blood donors. (3) Results: The overall seroprevalence of T. gondii antibodies was 64.06% in patients with cardiovascular diseases and 52.88% in blood donors and tended to increase with age in both groups. The seroprevalence of T. gondii antibodies was significantly higher in cardiovascular male patients (69.94%) compared to male blood donors (55.69%) (p = 0.006). When compared to the control group, a significantly higher prevalence of T. gondii antibodies was found among patients with hypertension (82.35%; p = 0.01) and unstable angina (67.56%; p = 0.02). (4) Conclusions: This study brings new epidemiological information on the prevalence of T. gondii in Romanian cardiovascular patients. T. gondii seroprevalence was significantly higher in patients with hypertension and unstable angina, suggesting that individuals with these diagnoses may be more frequently infected with T. gondii. This study may be a valuable starting point for further research to better evaluate the impact of T. gondii exposure on patients with cardiovascular diseases.

This review aims to summarize the global prevalence of healthcare-associated infections in patients with acute heart failure who have been admitted to coronary care units, highlighting the underrepresented burden of infection in this high-risk population. Coronary care units (CCUs) play a pivotal role in the care of patients experiencing acute or decompensated heart failure, offering a highly monitored environment with immediate access to advanced cardiac interventions. The management of heart failure in CCUs involves a multidisciplinary approach that includes hemodynamic monitoring, pharmacologic therapy, respiratory support, and, in selected cases, mechanical circulatory assistance. The early identification of deterioration, rapid therapeutic escalation, and close monitoring of cardiac function are hallmarks of CCU care. However, the complexity and severity of illness in this population are compounded by a high risk of infections, including hospital-acquired pneumonia, bloodstream infections, and device-related infections. These infections not only increase morbidity and prolong hospitalization but also significantly impact mortality and healthcare costs. The immunocompromised state of many heart failure patients—due to poor perfusion, malnutrition, and the use of invasive devices—further elevates their vulnerability. Effective infection prevention, early diagnosis, and targeted antimicrobial therapy are, therefore, critical components of heart failure management within CCUs. This intersection of advanced cardiac care and infection control highlights the need for integrated, multidisciplinary strategies to improve outcomes in this high-risk population.

Background: Limited data are available in the existing literature regarding the seroepidemiology of T. gondii infection among cardiovascular patients. We aimed to comprehensively assess the prevalence of T. gondii infection and associated risk factors among Romanian cardiovascular patients. Methods: Serologic testing was conducted in 1205 patients with cardiovascular diseases to demonstrate the presence of T. gondii antibodies. An avidity test was performed in patients with detectable IgG and IgM antibodies. A structured questionnaire was designed to identify the potential risk factors associated with T. gondii. Results: The overall seroprevalence of T. gondii antibodies was 52.1%, with the highest value observed in patients diagnosed with dilated cardiomyopathy (66.66%) and the lowest in patients with myopericarditis (30.0%). The 11 patients found with detectable IgM and IgG antibodies had a high avidity test result. A patient’s area of residence, gender, educational level, owning dogs, owning any pet, and toxoplasmosis awareness were significantly associated with T. gondii seropositivity in multiple logistic regression analyses. Conclusions: This study provides novel and valuable insights into the seroprevalence and risk factors associated with T. gondii among Romanian cardiovascular patients. Our findings reiterate the importance of toxoplasmosis awareness and health education for better control and prevention of infection with T. gondii.

Background/Objectives: Healthcare-associated infections (HAIs) remain an important cause of morbidity in coronary care units (CCUs). Although left ventricular ejection fraction (LVEF) is central to cardiovascular risk stratification, its relationship with infection susceptibility in CCU patients is poorly defined. We explored the association between LVEF and HAI incidence in a real-world CCU population. Methods: We performed a retrospective cohort study including 870 consecutive adult patients admitted to a tertiary CCU. Patients were stratified by LVEF into reduced (<40%) and preserved or mildly reduced (≥40%) groups. HAIs were defined using Centers for Disease Control and Prevention/National Healthcare Safety Network (CDC/NHSN) criteria and required microbiological confirmation. Demographic data, comorbidities, exposure to invasive devices, colonization status and clinical outcomes were collected. Associations with HAIs were assessed using univariate and exploratory multivariable logistic regression. Results: Of the 870 patients, 235 (27.0%) had LVEF < 40%. The overall HAI incidence was 1.8% (16/870) and was significantly higher in patients with reduced LVEF compared with those with LVEF ≥ 40% (3.82% vs. 1.10%, p = 0.018). Patients with LVEF < 40% had greater exposure to invasive devices (OR 2.06, 95% CI 1.52–2.79, p < 0.001). The excess HAI burden was mainly driven by urinary tract infections (1.70% vs. 0.15%, p = 0.021). Colonization rates at admission were similar between groups. In univariate analysis, reduced LVEF was associated with higher HAI occurrence, but it did not remain independently associated after adjustment. Admission infection, malignancy, CPAP use, and CCU length of stay ≥5 days emerged as independent factors in the exploratory multivariable model (Nagelkerke R² = 0.247). Conclusions: Reduced LVEF is associated with higher HAI incidence in CCU patients, reflecting greater clinical severity, longer hospitalization, and increased exposure to invasive devices. Although not an independent predictor, LVEF appears to function as a clinically useful marker of vulnerability that may support early risk stratification and targeted infection-prevention strategies in CCU settings.

Background and Objectives: Healthcare-associated infections (HAIs) remain a relevant complication in coronary care units (CCUs), particularly among patients with cardiac dysfunction requiring invasive monitoring and prolonged hospitalization. In this setting, infection occurrence may reflect the cumulative interaction between baseline biological vulnerability and care-related exposure. This study aimed to explore whether a simple cumulative framework integrating these components can describe patterns of HAI occurrence and support early identification of patients at risk for severe infectious complications and sepsis. Materials and Methods: The retrospective cohort study included 870 consecutive adult patients admitted to a tertiary-care CCU. A four-component cumulative framework was constructed using reduced left ventricular ejection fraction (LVEF < 40%), diabetes mellitus, urinary catheterization, and CCU length of stay > 5 days. Each component contributed one point (range 0–4). HAIs were defined according to CDC/NHSN criteria and required microbiological confirmation. Associations between cumulative burden and infection occurrence were assessed using trend analysis and exploratory modeling. Results: HAI occurrence increased progressively across cumulative framework levels, demonstrating a stepwise pattern from low to higher vulnerability strata (p for trend < 0.001). A substantial proportion of infections clustered in patients with higher cumulative values, despite representing a minority of the cohort. Increasing cumulative burden was accompanied by higher observed infection occurrence, supporting a graded association between cumulative vulnerability and infection occurrence. Conclusions: In CCU patients, HAI occurrence appears to reflect the accumulation of biological vulnerability and care-related exposure during hospitalization. A simple cumulative framework may support early identification of patients requiring closer preventive attention and contribute to improved awareness of severe infectious complications in cardiac critical care. Prospective validation is warranted.

Background: Risk stratification models are widely used in clinical research; however, their development becomes methodologically challenging in settings characterized by low outcome incidence. In coronary care unit (CCU) populations, healthcare-associated infections (HAIs) occur relatively infrequently, limiting the feasibility of conventional multivariable predictive modeling. Methods: A retrospectively assembled CCU cohort comprising 870 patients with 16 HAI events (1.8%) was used as an illustrative example to examine methodological constraints associated with low events-per-variable (EPV) ratios. The implications of limited event frequency for multivariable logistic regression were evaluated, including risks of overfitting, coefficient instability, and reduced reproducibility. As an alternative strategy, a prespecified cumulative additive framework integrating baseline vulnerability and exposure-related variables was conceptually and analytically explored. Results: With four candidate predictors and 16 outcome events, the resulting EPV was approximately four, indicating a high risk of instability for conventional multivariable modeling. The cumulative framework allowed structured cumulative stratification without coefficient optimization. Infection occurrence increased progressively across cumulative framework levels, illustrating a graded pattern of increasing HAI occurrence with accumulating vulnerability and exposure-related burden. Conclusions: In clinical datasets with limited outcome events, modeling strategies should be aligned with the informational capacity of the data. Cumulative additive frameworks may represent a pragmatic structural alternative to coefficient-based modeling approaches in rare-event clinical settings. The present work provides a structured methodological framework for risk stratification under low-events-per-variable conditions rather than proposing a novel clinical scoring system.