Search Results (4,470)

Background: Early mobilization with permission for full weight bearing is a cornerstone of postoperative care after proximal femoral fractures (PFFs). However, its biomechanical implementation during gait remains unclear. Clinical scores such as the Charlson Comorbidity Index (CCI) and the American Society of Anesthesiologists (ASA) classification describe comorbidity burden, but their relationship with actual weight bearing and functional outcome regarding activities associated with daily living is insufficiently understood. Methods: In this prospective cohort study, patients aged > 65 years treated surgically for femoral neck fractures (FNFs) or trochanteric femoral fractures (TFFs) were included. Postoperative weight bearing was assessed after 4 to 7 days using sensor-based insoles. Average peak force of the operated limb, normalized to body weight, was the primary outcome. Associations with postoperative weight bearing and functional outcome were analyzed using multivariable linear regression models. Results: Early postoperative weight bearing remained below recommended levels, with lower limb loading in TFFs. Higher CCI values were associated with increased loading in TFF patients, and higher ASA classifications with reduced loading. Higher postoperative Barthel Index (BI) was independently associated with increased limb loading. Postoperative BI was influenced by age, preoperative BI, and fracture type. Conclusions: Despite permission for full weight bearing, early postoperative limb loading after PFF remains below recommended levels, particularly in TFFs. CCI and ASA show fracture type-specific associations with actual weight bearing, whereas BI is independent of ASA and CCI. The BI may serve as a surrogate parameter to identify patients at risk of insufficient limb loading who may benefit from targeted physiotherapeutic interventions. Full article

Background: Parathyroid hormone (PTH) is closely linked to mineral metabolism, kidney function, inflammation, and cardiovascular disease. However, its clinical significance in unselected hospitalized populations remains insufficiently characterized. We aimed to evaluate the prevalence of elevated PTH and its association with long-term mortality in a real-world cohort of internal medicine inpatients. Methods: In this retrospective cohort study, electronic records of adults hospitalized in an internal medicine department in 2019 were reviewed. Patients with available in-hospital PTH measurements were included. Elevated PTH was defined as >88 pg/mL. Clinical characteristics and laboratory parameters were recorded. The primary outcome was all-cause mortality with a minimum follow-up of 2 years. Cox proportional hazards models adjusted for clinically relevant covariates were used to examine the association between PTH and mortality. Results: A total of 1595 patients were included, of whom 567 (35.5%) had elevated PTH levels. Patients with elevated PTH were older and had a higher burden of chronic kidney disease, cardiovascular disease, and inflammatory and nutritional abnormalities. During a mean follow-up of 22 ± 13 months, mortality occurred more frequently in patients with elevated PTH than in those with normal levels (56.1% vs. 33.7%, p < 0.001). After multivariable adjustment, elevated PTH remained independently associated with increased mortality risk-adjusted HR (1.36, 95% CI 1.15–1.62, p < 0.001). Conclusions: Elevated PTH is common among hospitalized internal medicine patients and is associated with increased long-term mortality. PTH may represent an integrated biomarker reflecting disease burden, inflammation, and renal dysfunction and could contribute to risk stratification in hospitalized populations. Prospective studies are warranted to clarify underlying mechanisms and clinical implications. Full article

Background/Objectives: Hydrocephalus is defined as the symptomatic accumulation of excessive cerebrospinal fluid (CSF) within the ventricular system. It has an estimated incidence of 85 cases per 100,000 population annually in adults, making it one of the most common conditions managed by neurosurgeons globally. Many conditions may lead to ventricular dilation and hydrocephalus, such as hemorrhage, tumors, infection, trauma, and idiopathic normal-pressure hydrocephalus (iNPH). Regardless of the cause, the gold-standard treatment for hydrocephalus is CSF diversion, usually via a ventriculoperitoneal (VP) shunt. The goal of the present study is to present our experience regarding the etiology of hydrocephalus, management, and shunt failure characteristics over the last 11 years. Methods: A single-center retrospective cohort study was performed. Our cohort consisted of adult patients who were shunted or required revision surgery in our department over the last 11 years. Data regarding the etiology of hydrocephalus, management, shunt characteristics, revision status, and etiology of revision were collected and retrospectively analyzed. Univariable and multivariable logistic regression models were established in order to explore potential associations between the etiology of hydrocephalus and patient characteristics and risk of shunt revision. Revision-free survival probabilities were estimated using the Kaplan–Meier method, while shunt failure rates were also calculated. Results: Our cohort consisted of 114 patients, the median age was 59 (IQR = 26.5) years, and the male-to-female ratio was 1.04:1. The most common cause of hydrocephalus was iNPH (30.7%), followed by post-hemorrhagic (23.7%) and tumor-related hydrocephalus (21.1%). The 12-month revision rate was 13.6%, with overall revision-free survival of 86.4% at one year. Infection (43.2%) was the most common cause of shunt revision, followed by obstruction (16.2%), and mechanical disconnection and migration (18.9%). Younger age was associated with higher risk of revision, while etiology of hydrocephalus and patient sex were not. Conclusions: Our study adds to the pertinent literature data regarding hydrocephalus etiology, management strategies, and shunt failure rates across different hydrocephalus etiologies. Additionally, it serves as a foundation for future studies that could identify predictors of shunt failure, apart from the etiology of hydrocephalus, such as patient characteristics, surgical factors, or shunt types. Finally, we highlight the importance of comprehensive national and potentially continental registries, which will facilitate large-scale analyses. Full article

Phosphate mining companies in Morocco pose many environmental and occupational safety risks, especially through the release of airborne particulates, gas pollutants, and heavy metals. While there is increased implementation of monitoring systems within industrial mining contexts, current methodologies are still predominantly founded on rule-based systems or classical statistics that presume linearity in relationships between an arbitrary set of environmental parameters and the likelihood of an incident. Conversely, mining operations are characterized by intricately dynamic nonlinear combinations of numerous environmental and operational variables. As a result, a potential research opportunity exists for the application of sophisticated machine learning techniques that provide the ability to detect various levels of operational risk within phosphate mining scenarios. This study has three objectives. First, to examine the mining environmental and operational data from the phosphate mining sites to determine the mining operational conditions that present the highest risk. Second, to create a machine learning classification model which utilizes a Feedforward Neural Network (FNN) to identify operational states that are prone to incidents based on multivariate sensor data. Third, to assess the validity and reliability of the model using machine learning validity and reliability evaluation techniques along with statistical validation methods. In this study, an artificial intelligence-based approach for AI-based safety monitoring was proposed by using a Feedforward Neural Network (FNN) on a detailed data set of 1536 hourly measurements, directly recorded onsite at OCP plants in Benguerir and Khouribga. Environmental and industrial parameters (dust concentration, gas emissions, temperature, and toxic metal content) were measured using industrial-grade sensors certified for such a type of application. By means of training the proposed FNN model with adaptive gradient descent and dropout regularization with early stopping, a test mean squared error of 0.057 and over 85% accuracy on incident detection were obtained. Gradient tracking and m-adaptive validation proved the stability and convergence of the model. Emissions and dust were identified as the main risk classifiers in a variable importance analysis. The findings demonstrate that the mining sector may move from reactive to proactive safety management and validate the incorporation of AI into a real-time monitoring infrastructure inside the OCP ecosystem. Practical concerns of industrial data gathering, model interpretability, and the moral application of AI in high-risk settings are also addressed by the study. Full article

Background: Hyponatremia is one of the most common electrolyte disturbances in emergency departments. This study aimed to describe the characteristics of patients presenting with drug-induced hyponatremia and analyse factors associated with 30-day revisits. Methods: Retrospective observational study including adult patients who attended the emergency department for drug-induced hyponatremia between 2020 and 2024. Results: 141 patients were analysed (mean age 80.5 years; 78% women). Thiazide diuretics were the most frequently implicated pharmacological class (50.3%). In univariable analyses, polypharmacy, dementia, and treatment changes at discharge were associated with a higher risk of revisit for hyponatremia. In the multivariable model, only polypharmacy remained significantly associated with 30-day revisits. Conclusions: Thiazide diuretics were the leading drug-related cause of hyponatremia in the emergency setting. Polypharmacy was identified as an independent factor associated with increased revisit risk, underscoring the need for systematic medication review and close clinical follow-up after hospital discharge. Full article

Background/Objectives: Bariatric surgery has emerged as an effective intervention for severe obesity; however, post-operative dizziness remains poorly characterized in the literature. This study aimed to determine the prevalence of dizziness, imbalance, and hearing problems following bariatric surgery and to identify associated risk factors. Methods: A cross-sectional study was conducted among 156 patients who underwent bariatric surgery at multiple centers in Saudi Arabia. Data were collected through structured questionnaires assessing demographic characteristics, surgical details, and post-operative vestibular symptoms. Bivariate and multivariate logistic regression analyses were performed to identify predictors of dizziness. Results: The prevalence of post-operative dizziness was 77.3% (95% CI: 70.0–83.3%), imbalance was 38.0% (95% CI: 30.6–46.0%), and hearing problems were 10.7% (95% CI: 6.7–16.6%). Bivariate logistic regression identified weight loss was significantly associated with dizziness (OR = 1.063, 95% CI: 1.024–1.103, p = 0.001). In the multivariate model, each percentage point increase in weight loss was associated with a 6.1% increased dizziness (adjusted OR = 1.061, 95% CI: 1.017–1.107, p = 0.006). Dizziness was strongly associated with imbalance (chi-square = 14.325, p < 0.001) and falls (chi-square = 7.085, p = 0.008). Conclusions: Vestibular complications, particularly dizziness, are highly prevalent following bariatric surgery and demonstrate a significant dose–response relationship with the magnitude of weight loss. Enhanced awareness and systematic screening for dizziness in post-bariatric patients are warranted. Full article

Single nucleotide polymorphisms (SNPs), as common genetic variations, can influence biological processes. Identifying these variations is crucial for recognizing high-risk subgroups, guiding preventive strategies, and enabling personalized management. Objective: This study aimed to determine the relationship between SNPs and survival, thereby identifying genetic profiles associated with increased risk. Methods: We included seropositive patients with Chagas disease who had a disease duration of >20 years and no comorbidities. DNA was extracted. A SNP panel focusing on genes involved in cardiac structure was created from the GnomAD database. Patients were followed for 8 years to assess survival. The association between SNPs and survival was evaluated, and a genetic risk score was generated. Univariate and multivariate Cox regression models assessed the association between SNPs (coded as ordinal variables) and survival time. SNPs with p < 0.05 were selected to construct a risk score, which was then assessed using Kaplan–Meier curves and median survival times. Results: A total of 182 patients were included, with 96.7% completing follow-up for a median of 5.1 years (interquartile range: 3.4–6.5). The median age was 62 years; 39.6% of patients were male, and 31% had reduced left ventricular ejection fraction. Univariate analysis showed that 3 of the 68 SNPs studied were associated with survival. Variant rs3755863 (PPARGC1A gene) was significantly associated with an increased risk of death (hazard ratio, HR = 1.94; p = 0.022). Conversely, two variants, rs7310615 (SH2B3 gene) and rs7405731 (JUP gene), showed a protective effect with significantly reduced mortality risk (HR = 0.45; p = 0.006 and HR = 0.48; p = 0.006, respectively). In multivariate analysis, rs7310615 and rs7405731 remained significantly associated with survival. A genetic risk score was constructed, assigning 0 points for homozygous wild-type, 1 point for heterozygotes, and 2 points for homozygous alternative alleles. Individual scores were calculated, and survival was estimated for each score category using Kaplan–Meier analysis and median survival times. Conclusions: Two SNPs were identified as significantly associated with survival. These findings require confirmation in larger and more diverse populations. Their validation could enable the identification of a subgroup of patients at particularly high risk. Full article

Background/Objectives: Postpartum depression affects 10–20% of women and may have long-term consequences for mental health. This study examines the association between postpartum depressive symptoms and women’s depression and anxiety symptoms 11 and 15 years after childbirth. Methods: Data were drawn from the Rhea Mother–Child Cohort in Crete, Greece. A total of 1079 women completed the Edinburgh Postnatal Depression Scale (EPDS) at approximately 8–10 weeks postpartum. Of these, 516 participated in follow-up assessments at 11 and 15 years, which included measures of anxiety (State-Trait Anxiety Inventory, Trait version [STAI-Trait]) and depressive symptoms (Beck Depression Inventory [BDI]). Multivariable linear mixed-effects models were used to assess the relationship between postpartum depressive symptoms (EPDS) and later anxiety (STAI-Trait) and depression (BDI) outcomes, adjusting for sociodemographic and family-related characteristics and psychosocial factors. Results: Higher postpartum EPDS scores were associated with greater anxiety (STAI-Trait) and depressive symptoms (BDI) across follow-up assessments. Associations remained significant after adjusting for maternal baseline characteristics and follow-up factors. An interaction with time suggested that the association between postpartum depressive symptoms and anxiety levels strengthened over time, with a stronger association at the 15-year follow-up, indicating a higher long-term mental health burden. Conclusions: Postpartum depressive symptoms are associated with higher levels of depressive and anxiety symptoms 11 and 15 years after childbirth. The association with depression appeared relatively consistent across follow-up assessments, while the relationship with anxiety was stronger at the 15-year follow-up. These findings suggest that postpartum depression is an early marker of long-term vulnerability to mood and anxiety disorders, highlighting the importance of early screening, intervention, and long-term mental health support for mothers to reduce the risk of enduring psychological difficulties. Full article

Background/Objectives: Systemic inflammatory markers have recently gained attention as prognostic indicators in various acute conditions. However, their predictive value in non-variceal upper gastrointestinal bleeding (UGIB) remains uncertain. This study aimed to evaluate the prognostic performance of the Systemic Inflammation Response Index (SIRI) and the Aggregate Index of Systemic Inflammation (AISI) for in-hospital mortality among patients with non-variceal UGIB and to compare them with established clinical scoring systems. Methods: This retrospective cohort study included 531 adult patients admitted with non-variceal UGIB between April 2023 and February 2025. Demographic, clinical, and laboratory data were collected at presentation. Inflammatory indices (SIRI, AISI, AISI/Hb) and established risk scores (Glasgow-Blatchford, Rockall, AIMS-65, and ABC) were calculated. The primary outcome was all-cause in-hospital mortality. Discriminatory ability was assessed using receiver operating characteristic (ROC) curve analysis, and independent predictors were identified by multivariable logistic regression. Results: The overall in-hospital mortality rate was 4.7% (25/531). Non-survivors were older and had lower systolic blood pressure, higher serum urea, and elevated inflammatory indices. Among biomarkers, SIRI (AUC = 0.773, 95% CI: 0.737–0.809) and AISI (AUC = 0.709, 95% CI: 0.670–0.747) showed good discriminatory ability, comparable to AIMS-65 (AUC = 0.765) and ABC (AUC = 0.786). In multivariable models, SIRI (OR = 1.10, p = 0.011) and AISI (OR = 1.04 per 100 units, p = 0.003) remained independent predictors of mortality after adjustment for age, systolic blood pressure, hemoglobin, serum urea, and albumin. Conclusions: SIRI and AISI are independent predictors of in-hospital mortality in patients with non-variceal UGIB, demonstrating comparable prognostic performance to conventional risk scores. These readily available inflammatory indices may serve as simple and cost-effective adjuncts for early risk stratification in clinical practice. Full article

Background: Obstructive sleep apnea (OSA) is associated with increased cardiovascular morbidity; however, its relationship with subclinical coronary atherosclerosis detected incidentally on routine chest computed tomography (CT) remains incompletely defined. We aimed to evaluate the association between questionnaire-based OSA risk and moderate-to-severe coronary artery calcification (CAC) in patients without known cardiac disease undergoing non-contrast chest CT for non-cardiac indications. Methods: In this prospective cross-sectional study, 268 consecutive adults undergoing routine non-contrast chest CT were included. OSA risk was assessed using the Berlin Questionnaire (BQ) and a modified BQ (mBQ), excluding hypertension and obesity components. CAC was quantified using the Agatston method on non-gated CT images, and moderate-to-severe CAC was defined as a score > 100. Multivariable logistic regression models were adjusted for age, sex, smoking status, alcohol use, obesity, lung disease, diabetes mellitus and hypertension. Results: Moderate-to-severe CAC was substantially more prevalent among patients at high risk for OSA than among those at low risk (43.1% vs. 12.0%, p < 0.001). In unadjusted analyses, high-risk OSA was strongly associated with CAC > 100. After multivariable adjustment, BQ-defined high-risk OSA remained independently associated with moderate-to-severe CAC (adjusted odds ratio [OR] 2.74, 95% confidence interval [CI] 1.29–5.78, p = 0.008). Similar results were observed with the mBQ (adjusted OR 2.62, 95% CI 1.27–5.41, p = 0.009). Increased snoring intensity was also independently associated with CAC > 100 (adjusted OR 2.25, 95% CI 1.07–4.72, p = 0.032). Conclusions: Questionnaire-defined high-risk OSA is independently associated with moderate-to-severe incidental CAC detected on routine chest CT. These findings support the integration of sleep-related risk assessment into opportunistic cardiovascular imaging frameworks and highlight the potential role of thoracic CT in multidimensional cardiovascular risk stratification. Full article

Background: Radiation-induced cystic brain necrosis (RCN) can progress rapidly to life-threatening cerebral herniation. This study aimed to develop a predictive model integrating radiomic features and clinical variables to assess the risk of cerebral herniation in RCN patients. Methods: A total of 130 patients diagnosed with RCN following radiotherapy for nasopharyngeal carcinoma were retrospectively enrolled and randomly assigned to training (n = 91) and testing (n = 39) cohorts in a 7:3 ratio. Radiomic features were extracted from baseline T2-weighted magnetic resonance imaging (MRI), and a radiomic signature was constructed using least absolute shrinkage and selection operator regression. A multivariate Cox regression model was then developed by incorporating the radiomic signature and clinical variables to predict cerebral herniation. The model’s discriminative ability, calibration, and clinical utility were evaluated. Results: The radiomic signature based on five selected radiomic features demonstrated good predictive performance. The radiomic model, which integrated the radiomic signature and ratios of perilesional enhancement, exhibited favorable performance in both the training cohort (C-index: 0.841) and testing cohort (C-index: 0.867). The model successfully stratified patients into high- and low-risk groups. The calibration curves showed good agreement and the decision curve confirmed the clinical utility of the model. Conclusions: The MRI-based radiomic model, which integrates radiomic features and clinical variables, demonstrates robust performance in predicting cerebral herniation in RCN patients, offering a practical and user-friendly tool to support clinical decision-making. Full article

Background: Accurate perioperative cardiovascular risk stratification remains challenging in patients undergoing noncardiac surgery. Although treadmill testing (TMT) is widely used for functional assessment, its ability to identify truly high-risk patients is limited. Natriuretic peptides reflect integrated myocardial stress and may provide complementary prognostic information, particularly in patients with abnormal functional test results. Methods: In this prospective multicenter observational study, 178 patients with at least one Revised Cardiac Risk Index risk factor undergoing noncardiac surgery were included. All patients underwent preoperative TMT and had available N-terminal pro–B-type natriuretic peptide (NT-proBNP) measurements. The primary endpoint was 30-day major adverse cardiac events (MACE), defined as a composite of cardiac death, nonfatal myocardial infarction, myocardial injury after noncardiac surgery, pulmonary edema with heart failure, and clinically significant arrhythmias. Incremental prognostic value was assessed using the area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI), with internal validation using bootstrap resampling. Results: At 30 days, 26 patients (14.6%) experienced MACE, of whom seven experienced more than one event. Log-transformed NT-proBNP was independently associated with perioperative events in parsimonious multivariable models. Elevated NT-proBNP, particularly NT-proBNP ≥ 1000 pg/mL, was independently associated with perioperative events after multivariable adjustment. Importantly, the incremental prognostic value of NT-proBNP was most pronounced in patients with a positive TMT, in whom NT-proBNP improved risk discrimination (ΔAUC = +0.09) and reclassification (NRI = 1.00). In contrast, among patients with a negative TMT, the additional prognostic contribution of NT-proBNP was modest and not statistically significant. Subgroup findings should be interpreted cautiously, given the limited number of events. Conclusions: Preoperative NT-proBNP provides modest but independent incremental prognostic value beyond treadmill testing, with the greatest impact observed in patients with positive TMT results. Although improvements in discrimination were moderate, NT-proBNP may help refine perioperative risk assessment in selected intermediate- to high-risk patients. These findings support a complementary biomarker-based approach to MACE. Full article

Background/Objectives: Penile squamous cell carcinoma (PSCC) is a rare malignancy with a potential major impact on survival. Prognostic assessment remains challenging, particularly in underrepresented eastern European populations, where region-specific evidence is lacking. This paper aimed to identify independent predictors of overall survival in surgically treated patients with PSCC from a Romanian high-volume tertiary center. Methods: This retrospective cohort study analyzed 60 patients who were surgically treated for PSCC between October 2020 and December 2024. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify independent prognostic factors. Results: The mean patient age was 62 ± 12 years. T-stage distribution showed 30% pT1, 35% pT2, 31.67% pT3, and 3.33% pT4, with 55% of patients presenting with nodal metastases. Univariate analyses demonstrated significant associations between lymphovascular invasion (p < 0.001), perineural invasion (p = 0.022), and positive surgical margins (p = 0.030) and risk of death. Multivariate analysis identified three independent prognostic factors: absence of histologically documented urethral invasion (HR 0.32; p = 0.027), T3–T4 disease (HR 8.26; p = 0.005 vs. T1), and N3 stage (HR 3.53; p = 0.030 vs. N0–N1). Patients without urethral invasion demonstrated significantly longer median overall survival (63 months vs. 11 months). The final three-variable prognostic model demonstrated good discrimination (C-index 0.78), providing a potential practical risk stratification tool. Conclusions: Urethral invasion, advanced T-stage, and N3 disease independently predict poor survival in surgically treated PSCC. The identification of urethral invasion as an independent prognostic factor warrants consideration in clinical practice. This is the first study of a Romanian cohort to provide critical data for risk-adapted treatment strategies in underrepresented eastern European populations. Full article

Background/Objectives: Delayed umbilical cord clamping (DCC) is widely recommended for neonatal benefit; however, concerns persist among professionals that DCC may increase the risk of postpartum hemorrhage. There is a higher risk of postpartum hemorrhage in women with hypertensive disorders of pregnancy (HDP). We aimed to evaluate the association between umbilical cord clamping timing and maternal blood loss in term pregnancies, including those complicated by HDP. Methods: We conducted a cross-sectional study of women delivering at three major hospitals in Almaty, Kazakhstan (August 2020–March 2021). The primary outcome was maternal blood loss. Secondary outcomes included hemoglobin (Hb) and red blood cell (RBC) change from pre-delivery to discharge. Multivariable models were adjusted for maternal age, parity and hypertension category. Results: Two hundred and seven women were analyzed (early cord clamping ≤ 60 (ECC) n = 21; delayed cord clamping 60–119 s (DCC60s) n = 161; delayed cord clamping ≥ 120 s (DCC120s) n = 25). Baseline characteristics were similar across groups except for hypertension distribution. Median blood loss did not differ significantly (255–260 mL; p = 0.9128). Adjusted models confirmed no association between clamping category and blood loss (RoM: ECC vs. DCC60s 0.97; 95% CI 0.93–1.01; DCC120s vs. DCC60s 1.01; 95% CI 0.96–1.07). Conclusions: Among term births in Almaty, including HDP-affected pregnancies, delayed umbilical cord clamping was not associated with increased maternal blood loss or hematologic decline. These findings indicate that DCC does not appear to increase maternal bleeding risk in high-risk obstetric populations and are broadly in line with current international recommendations. Further prospective research is warranted to evaluate specific subgroups, including severe preeclampsia. Full article

Background/Objectives: Patients with pre-existing heart failure (HF) represent a clinically vulnerable population with increased susceptibility to adverse outcomes during acute systemic illnesses, including coronavirus disease 2019 (COVID-19). Systemic inflammation is increasingly recognized as a central pathophysiological mechanism linking cardiovascular vulnerability with infection-related organ dysfunction. However, the prognostic role of inflammatory biomarkers in hospitalized COVID-19 patients with pre-existing HF remains incompletely defined. This study aimed to evaluate the association between inflammatory biomarkers and clinical outcomes in this high-risk population. Methods: This retrospective single-center cohort study included 395 consecutive adult patients hospitalized with confirmed COVID-19 between March 2020 and December 2024 at a tertiary referral center. Pre-existing HF was documented in 143 patients (36.2%). Inflammatory biomarkers, including C-reactive protein (CRP), interleukin-6 (IL-6), procalcitonin, and D-dimer, were measured at admission. The primary outcomes were development of sepsis and in-hospital mortality. Multivariable logistic regression models were constructed to identify independent predictors of adverse outcomes after adjustment for demographic characteristics, comorbidities, disease severity, and cardiac biomarkers. Results: Patients with pre-existing HF had significantly higher in-hospital mortality compared with those without HF (11.9% vs. 4.8%, p = 0.016) and showed a trend toward increased intensive care unit admission. HF patients exhibited higher admission IL-6 levels, indicating enhanced inflammatory activation. In univariable analysis, HF was associated with mortality (OR 2.67, 95% CI 1.22–5.83, p = 0.014). After multivariable adjustment, the association between HF and mortality was attenuated, whereas IL-6 remained an independent predictor of mortality (adjusted OR 1.38, 95% CI 1.04–1.82, p = 0.021). Elevated IL-6 and procalcitonin levels were also independently associated with sepsis development. Conclusions: Pre-existing heart failure identifies a population at increased risk of adverse outcomes in hospitalized COVID-19 patients, and this excess risk appears to be partly mediated by systemic inflammatory activation. Interleukin-6 emerged as a key biomarker linking cardiovascular vulnerability, immune dysregulation, and clinical deterioration. These findings support the potential role of inflammation-based risk stratification to improve prognostic assessment and guide personalized management in high-risk patients with underlying cardiovascular disease. Full article