Search Results (5,896)

Background and Objectives: Outcomes after trauma are traditionally attributed to injury severity and acute physiologic derangement. However, host vulnerability at presentation—reflecting underlying physiologic and nutritional status—may also be associated with bleeding severity and transfusion requirements following acute injury. Whether such vulnerability contributes additional risk information beyond established factors remains incompletely understood. Materials and Methods: We conducted a retrospective cohort study of adult trauma patients using a single-center trauma registry. Host vulnerability was assessed using a composite score (CE; range 0–3) based on admission hypoalbuminemia (<3.5 g/dL), anemia (hemoglobin < 11 g/dL), and reduced renal function (estimated glomerular filtration rate < 60 mL/min/1.73 m²). Primary outcomes were any blood transfusion and massive transfusion, defined as transfusion of ≥10 units of packed red blood cells within 24 h of admission. Associations between CE score and transfusion outcomes were evaluated using univariable and multivariable logistic regression models adjusted for age, Injury Severity Score (ISS), admission lactate level, and systolic blood pressure (SBP). Results: Among 4105 trauma patients, transfusion requirements increased progressively with higher CE scores. Rates of any transfusion rose from 21.7% in patients with CE 0 to 78.6% in those with CE 3, while massive transfusion increased from 1.9% to 23.1% across the same categories. In multivariable analyses, each 1-point increase in CE score was independently associated with higher odds of any transfusion (adjusted odds ratio [aOR] 3.21, 95% confidence interval [CI] 2.80–3.68) and massive transfusion (aOR 1.73, 95% CI 1.45–2.07). Conclusions: A composite score reflecting host vulnerability at presentation was associated with bleeding severity and transfusion requirements after trauma, beyond injury severity and acute physiologic factors. These findings suggest that simple laboratory-based markers may provide additional information for early risk stratification of hemorrhagic outcomes after trauma. Full article

Background: Evidence on the presence of an association between epicardial adipose tissue (EAT) and myocardial perfusion imaging (MPI) as assessed by positron emission tomography (PET) has been reported. This systematic review aimed to synthesize the existing literature investigating this topic. Methods: A comprehensive and systematic search of the PubMed/MEDLINE, Scopus, and Embase databases was performed to identify published studies investigating the association between EAT and myocardial perfusion assessed by PET imaging. Eligible studies included original research articles evaluating EAT and reporting PET MPI outcomes. Data regarding the study design, patient characteristics, imaging protocols, and main findings were extracted and qualitatively analyzed. Results: Ten studies were included in the final analysis. Overall, most studies demonstrated a significant association between increased EAT and impaired myocardial perfusion on PET imaging. In several studies, EAT remained an independent predictor of abnormal PET MPI after adjustment for traditional clinical risk factors. Nonetheless, important methodological differences among studies were observed, including heterogeneity in EAT measurement techniques, quantification methods, and PET tracers used for MPI evaluation, which limit the generalizability of these findings. Conclusions: This systematic review seems to suggest a potential association between increased EAT and impaired myocardial perfusion, as assessed by PET. However, significant methodological heterogeneity across the available studies—including differences in EAT quantification, PET protocols, and tracer selection—limits the strength of this conclusion. Standardized imaging protocols and larger, prospective, multicenter studies are required to validate this relationship, determine its incremental prognostic value, and evaluate its potential for integration into routine clinical risk stratification pathways. Full article

Background and Objectives: Acute ischemic stroke (AIS) caused by large vessel occlusion (LVO) remains a major cause of disability and mortality. Mechanical thrombectomy (MT) improves outcomes, but recovery varies. This study assessed the prognostic value of hypoperfusion intensity ratio (HIR), collateral circulation, and other clinical/imaging factors. Materials and Methods: This retrospective cohort study included 96 LVO patients treated with MT with or without intravenous thrombolysis (IVT) between 2020 and 2024 at a tertiary hospital. Inclusion required multimodal CT (CT, CTA, CTP) and clinical data (NIHSS, mRS). HIR, core volume, CBV index, mismatch ratio, and collateral status were evaluated using artificial intelligence (AI)-based software. Univariate/multivariate logistic regression identified predictors of poor outcome (mRS > 3 at 90 days). Results: Lower HIR (<0.5) and good collaterals were associated with favourable outcomes (p < 0.001). Multivariate analysis identified HIR, initial NIHSS, and procedure duration as independent predictors of poor outcome. CTP-derived core volume, cerebral blood volume index, and mismatch ratio were also significant predictors. ROC analysis showed the highest AUC for core volume (0.810). Diabetes mellitus was associated with a worse prognosis compared to other clinical factors. Conclusions: HIR and collateral status are independent predictors of functional recovery after MT. CTP-derived core volume and CBV index have strong prognostic value. AI-based perfusion analysis supports patient selection and risk stratification. Full article

Background: Cardiovascular disease remains a leading cause of morbidity and mortality after kidney transplantation. The relative contribution of metabolic abnormalities and inflammatory burden to cardiac remodeling and subsequent clinical outcomes in kidney transplant recipients (KTRs) remains incompletely understood. Methods: In this retrospective cohort study, 152 KTRs underwent comprehensive cardiovascular evaluation at a stable post-transplant time point (12 ± 4 months after transplantation). Metabolic phenotype was assessed using metabolic syndrome and indices of insulin resistance and atherogenic dyslipidemia (TyG index, TG/HDL ratio, and atherogenic index of plasma [AIP]). Inflammatory status was evaluated using hs-CRP and complete blood count-derived indices. Echocardiographic damage composite (EDC) was defined as the presence of left ventricular hypertrophy, diastolic dysfunction, or left atrial enlargement. Patients were followed for major adverse clinical outcome (MACO), defined as cardiovascular event, graft failure, or death, and major adverse cardiovascular and cerebrovascular events (MACCE). Results: At baseline, 78 patients (51.3%) met criteria for EDC. EDC was strongly associated with higher TyG, AIP, TG/HDL, LDL/HDL ratio, and metabolic syndrome, whereas inflammatory markers showed no association. In multivariable logistic regression adjusted for age, sex, eGFR, and proteinuria, TyG remained independently associated with EDC (OR 1.13 per 0.1 increase, 95% CI 1.05–1.21; p = 0.001), independent of hs-CRP. Similar results were observed when AIP was evaluated in place of TyG (OR 10.39, 95% CI 2.22–48.71; p = 0.003). During follow-up, 78 patients developed MACO and 49 developed MACCE. In Cox regression analysis, graft dysfunction and inflammatory markers independently predicted MACO, whereas TyG was no longer significant. In contrast, TyG remained an independent predictor of MACCE after adjustment for confounders and inflammatory markers (HR 1.10 per 0.1 increase, 95% CI 1.04–1.16; p < 0.001). Similar results were observed when AIP was tested in place of TyG (HR 10.8, 95% CI 3.06–38.11; p < 0.001). Echocardiographic damage did not independently predict outcomes after adjustment. Conclusions: In KTRs, metabolic abnormalities reflecting insulin resistance and atherogenic dyslipidemia are closely associated with cardiac remodeling one year after transplantation and remain specifically linked to subsequent cardiovascular events. In contrast, systemic inflammation and graft dysfunction are the primary determinants of overall adverse clinical outcomes. Simple metabolic indices such as TyG and AIP may provide practical tools for cardiovascular risk stratification in this population. In Cox proportional hazards models, TyG (HR 1.102, 95% CI 1.043–1.164, p = 0.001) and AIP (HR 10.8, 95% CI 3.06–38.11, p < 0.001) were independently associated with cardiovascular events during follow-up, underscoring the role of atherogenic dyslipidemia in cardiovascular risk. Full article

Osteosarcoma (OS), the most prevalent primary malignant bone tumor with a dismal prognosis, exhibits significant heterogeneity in programmed cell death (PCD) pathways, but its subtype-specific functional mechanisms remain poorly characterized. This study integrated PCD-related gene signatures to delineate molecular subtypes in OS via consensus clustering, successfully defining four distinct subtypes with divergent prognostic outcomes and immune microenvironments. Differential expression, functional enrichment, and protein–protein interaction (PPI) network analyses revealed subtype-specific PCD pathway associations (e.g., lysosome-dependent cell death, apoptosis, pyroptosis and anoikis), while comparative immune profiling and clinical characterization further refined subgroup identities. A robust prognostic risk model incorporating five pivotal genes (SERPINE2, CBS, SQLE, UBE2D4, and S100A13) and metastasis status demonstrated superior predictive performance in both training and external validation cohorts. These findings not only elucidate the functional architecture of PCD across OS molecular subtypes but also establish a clinically actionable model for precision risk stratification and tailored therapeutic strategies. Full article

Background/Objectives: The purpose of this study was to (i) determine the levels of interleukins in patients with COVID-19 admitted to the Intensive Care Unit (ICU) and (ii) evaluate their early dynamics, as well as (iii) assess their relationships with morbidity and mortality. Methods: This was a prospective analytical study of critically ill patients with COVID-19 who were monitored from admission to three days of stay in the ICU. Circulating levels of IL-1β, IL-2, IL-6, IL-7, IL-8, IL-10, and tumour necrosis factor-alpha (TNF-α) were measured. Cytokine levels were analysed in relation to clinical severity parameters and 28-day mortality. Results: A dynamic cytokine response was observed during the first 72 h, with a significant increase in TNF-α levels and a decrease in IL-10 and IL-1β. Non-survivors showed higher TNF-α levels than survivors. In the multivariable analysis adjusted for clinical severity, TNF-α remained independently associated with 28-day mortality, whereas other cytokines did not retain statistical significance. The overall predictive performance of cytokines was moderate. Conclusions: Early cytokine dynamics reflect the evolving inflammatory response in critically ill COVID-19 patients. TNF-α emerges as an independent predictor of mortality, supporting its role as a relevant biomarker of adverse outcomes. Although its predictive capacity is moderate, TNF-α may provide clinically meaningful information for risk stratification when integrated with established clinical and laboratory parameters. Full article

Background/Objectives: Perioperative risk stratification in cardiac surgery is based mainly on static preoperative variables and therefore does not fully capture dynamic multiorgan responses to surgical stress. The Model for End-Stage Liver Disease (MELD) score, which integrates bilirubin, creatinine, and the international normalized ratio (INR), reflects hepatorenal function, but its perioperative dynamics remain insufficiently explored. This study aimed to characterize perioperative MELD trajectories in patients undergoing off-pump coronary artery bypass grafting (OPCAB) and to assess the influence of sex and diabetes mellitus on these changes and their clinical relevance. Methods: This retrospective observational study included 111 patients undergoing elective OPCAB. MELD scores were assessed preoperatively (MELD₀), on postoperative day 1 (MELD₁), and on day 6 (MELD₆). Dynamic indices of MELD change were calculated, including the early postoperative increase (ΔMELD₀₁). The effects of sex and diabetes mellitus on MELD trajectories were analyzed using multivariable linear regression and generalized estimating equations. A high-surge phenotype was defined as the upper quartile of ΔMELD₀₁. Results: MELD increased significantly on postoperative day 1 and partially recovered by day 6 (p < 0.001). Female sex was independently associated with lower postoperative MELD values (β = −2.54, p < 0.001) and a smaller ΔMELD₀₁, whereas diabetes mellitus was associated with a reduced MELD rise (β = −1.07, p = 0.028). Patients with a high-surge MELD phenotype had significantly longer hospitalization than those with a lower MELD response (12.8 ± 2.1 vs. 9.2 ± 1.2 days, p < 0.001). Conclusions: Perioperative MELD trajectories reflect a dynamic hepatorenal stress response after OPCAB and may improve identification of clinically relevant physiological vulnerability. Full article

Urinary stone disease is common, recurrent, and increasingly managed through imaging-driven pathways, yet standard-dose CT of the kidneys, ureters, and bladder (CT KUB) raises concerns about cumulative radiation exposure and the limited use of quantitative imaging information for risk stratification. This review synthesizes contemporary evidence on dose-optimized CT, advanced spectral technologies, and artificial intelligence (AI)-enabled analytics that are reshaping diagnosis, treatment selection, and triage. This review summarizes data supporting low-dose and ultra-low-dose CT protocols that preserve diagnostic accuracy while substantially reducing dose, and discusses how dual-energy CT, photon-counting CT, and radiomics facilitate noninvasive stone characterization and extraction of imaging biomarkers beyond size and location. It also reviews AI approaches for automated detection, segmentation, and volumetric quantification across CT, KUB, and ultrasounds, highlighting their potential to standardize stone-burden metrics. It further examines predictive models, including logistic regression, nomograms, and machine learning, for perioperative infectious complications, emergency department admission or intervention, procedure success, and long-term recurrence, and outlines reporting and validation frameworks and implementation considerations, including software as a medical device regulation and human oversight. In contrast to prior reviews that consider imaging and AI separately, this review integrates dose reduction, spectral characterization, and AI-driven analytics within real-world clinical pathways to distinguish established clinical applications from those that remain investigational. Integrating advanced CT and AI outputs into well-validated prediction models embedded in real-world workflows may enable safer imaging, more consistent triage, and more personalized follow-up for urinary stone disease. Full article

Background/Objectives: This study examined whether dynamic systemic inflammation- and nutrition-based scores measured at baseline (T0) and during follow-up (T1: days 7–10) are associated with treatment response and surgical requirement in first-episode primary spontaneous pneumothorax (PSP). Methods: A total of 216 consecutive patients with first-episode PSP, treated between January 2020 and December 2024, were retrospectively analyzed. All patients initially underwent tube thoracostomy. During follow-up, 117 patients recovered with drainage therapy, whereas 99 required VATS because of a prolonged air leak. The CAR, SIII, SIRI, PIII, NLR, PLR, and PNI, measured at T0 and T1, were analyzed. Δ-values (T1–T0 differences) were evaluated, and diagnostic performance was assessed using ROC curve analysis. Results: At T0, inflammation- and nutrition-based indices did not differ significantly between groups. In contrast, at T1, CAR, SIII, SIRI, PIII, NLR, and PLR values were significantly higher in the VATS group than in the drainage group (all p < 0.05). Over time, inflammatory indices increased markedly in the VATS group, whereas changes in the drainage group remained limited. PNI decreased significantly at T1 in both groups. ROC analysis demonstrated that CAR, SIII, and NLR showed moderate discriminative performance for identifying patients who required VATS (area under the curve ≈ 0.65). Conclusions: Dynamic assessment of systemic inflammation-based biomarkers provides clinically relevant insight for surgical risk stratification in first-episode PSP. While baseline measurements alone are insufficient, follow-up values and temporal changes—particularly in CAR, SIII, and NLR—may reflect progression toward a surgical phenotype and could serve as adjunctive, non-directive decision-support indicators in PSP management. Full article

Background and Objectives: Pancreatic ductal adenocarcinoma (PDAC) is one of the leading causes of cancer-related mortality, largely due to late-stage diagnosis and the absence of effective population-based screening. Intrapancreatic fat deposition (IPFD) has emerged as a potential risk phenotype. This narrative review critically appraises the clinical, metabolic, epidemiologic, and mechanistic evidence linking IPFD to PDAC and discusses its implications for risk stratification and prevention. Materials and Methods: A structured literature search was conducted in PubMed/MEDLINE and Scopus for studies published between 2007 and 2025 using predefined terms related to pancreatic steatosis and pancreatic cancer. After duplicate removal and screening according to predefined inclusion and exclusion criteria, 42 articles were included. Evidence was synthesized focusing on epidemiologic associations, mechanistic pathways, and imaging-based quantification methods. Results: A strong association between IPFD and PDAC was found. Although definitive causality remains unproven, some studies support temporal correlation between IPFD and PDAC, suggesting that IPFD precedes PDAC. A possible pathophysiological explanation to this correlation has been advanced in experimental models indicating IPFD as a pro-inflammatory factor cooperating with oncogenic KRAS to facilitate neoplastic progression. Finally, variability in IPFD definitions and heterogeneity in imaging assessment limit interpretability. Conclusions: Current evidence links IPFD to PDAC risk, suggesting a strong suspicion that pancreatic steatosis may represent an independent risk factor for PDAC. Still robust causal inference remains unproven. Well-designed prospective studies, standardized imaging protocols, and mechanistic investigations are required to clarify causality and determine whether pancreatic steatosis can be incorporated into risk-based screening and preventive strategies. Full article

Background/Objectives: Cognitive impairment is a major concern in aging populations. Early detection through validated neuropsychological tests is essential for dementia risk stratification and preventive interventions. This scoping review (PRISMA-ScR, 2013–2023, registration protocol: 10.17605/OSF.IO/8NHJF) evaluated cognitive testing trends in aging research and identified the most frequently used neuropsychological screening tests in Spanish populations. Methods: Searches in PubMed and Web of Science (March 2024) yielded 730 records; 156 were reviewed in full, and 15 met inclusion criteria for Spanish adults ≥65 years. Results: The Mini-Mental State Examination was the most-used test, followed by verbal fluency and Trail Making Test. No test covered all six DSM-5 cognitive domains, and social cognition was never assessed in any of the studies. The Montreal Cognitive Assessment was underused despite its superior sensitivity. Conclusions: Findings support developing a tailored, multidomain battery combining global and domain-specific tests. Social cognition assessments should be included to ensure a complete cognitive domain coverage. Full article

Background/Objectives: Regadenoson is increasingly used as a vasodilator stress agent for perfusion cardiac magnetic resonance (CMR) imaging due to its favorable pharmacologic profile. However, its long-term prognostic value in patients with myocardial ischemia remains insufficiently established. Methods: We retrospectively analyzed all regadenoson stress-CMR studies performed at our institution between May 2017 and July 2020, including patients with follow-up longer than three months. Inducible ischemia and late gadolinium enhancement (LGE) were assessed using standardized criteria. The primary composite endpoint included cardiovascular death, non-fatal myocardial infarction, late coronary revascularization (≥3 months after CMR), or hospitalization for unstable angina. Event-free survival was analyzed with Kaplan–Meier curves, and prognostic factors were evaluated using a Fine–Gray competing-risks model. Results: Of 705 examinations, 698 were eligible, and 517 patients (78.5%) completed follow-up over a median of 1.93 years (IQR 1.37–2.79). Inducible ischemia was identified in 142 patients (27.5%). During follow-up, 38 composite events occurred. Event incidence was significantly higher in patients with ischemia (109.6 events/1000 person-years; 95% CI 75.7–158.7) than in those without (13.3 events/1000 person-years; 95% CI 7.2–24.7; RR 8.25; 95% CI 4.01–16.98; p < 0.001). In multivariable analysis, inducible ischemia independently predicted adverse outcomes (HR 4.50; 95% CI 1.86–10.9; p = 0.001), whereas LGE was not independently associated (HR 1.28; 95% CI 0.46–3.57; p = 0.63). Conclusions: Regadenoson stress-CMR provides robust medium-term risk stratification in patients with suspected or known coronary artery disease. Detection of inducible ischemia strongly predicts major cardiovascular events, underscoring its prognostic and clinical relevance. Full article

Background: Ventricular septal rupture (VSR) following acute myocardial infarction (AMI) creates an abrupt left-to-right shunt that can progress to cardiogenic shock (CS). Once CS develops, mortality increases dramatically and delayed repair becomes less feasible. Intra-aortic balloon pumps (IABPs) are widely used to facilitate delayed repair; however, whether initiating IABP before CS onset improves survival remains unclear. Methods: We retrospectively analyzed 124 patients with AMI-related VSR (2009–2024), categorized by IABP timing relative to CS onset (defined as first catecholamine administration) into pre-CS, post-CS, and no-IABP groups. The primary outcome was all-cause mortality within 90 days after AMI onset. Kaplan–Meier curves and Cox proportional hazards models were applied, with subgroup analyses by CS status. Results: The 90-day survival rate was 68.2% in the pre-CS IABP group, 14.3% in the post-CS group, and 35.1% in the no-IABP group. Pre-CS IABP was associated with significantly lower mortality compared with no-IABP (adjusted HR = 0.401, 95% CI 0.174–0.925, p = 0.032) and post-CS IABP (adjusted HR = 0.369, 95% CI 0.149–0.910, p = 0.030). In the CS subgroup, IABP use did not improve survival (19.4% vs. 17.6%, p = 0.365). Among non-CS patients, IABP use was independently associated with lower mortality (85.7% vs. 50.0%, p = 0.027; adjusted HR = 0.178, 95% CI 0.040–0.801, p = 0.025). Conclusions: Given the retrospective design and limited sample size, these findings are hypothesis-generating. Early IABP use was associated with improved short-term survival, an effect not observed once CS had developed. These findings support early risk stratification to identify high-risk patients who may benefit from timely hemodynamic support. Full article

Endometriosis and endometrial cancer are distinct gynecological conditions that share overlapping biological mechanisms with implications for clinical management. Endometriosis is a chronic, benign disorder characterized by the ectopic implantation of functional tissue lining the uterus, primarily affecting women of reproductive age. It commonly causes chronic pelvic pain, dysmenorrhea, dyspareunia, and infertility. The disease is marked by persistent inflammation, hormonal dysregulation, and alterations in cellular signaling, which mirror some neoplastic processes despite lacking malignant potential. Endometrial cancer is a malignant tumor of the uterine lining, most frequently diagnosed in postmenopausal women. Its incidence is rising due to aging, obesity, and prolonged estrogen exposure. Epidemiological studies suggest a modest increase in endometrial cancer risk among women with endometriosis. However, detection bias and metabolic confounders may influence this association. Both conditions share estrogen dependence, chronic inflammatory microenvironments, and dysregulated pathways such as PI3K/AKT/mTOR. Somatic mutations in genes, including PTEN and ARID1A, further underline molecular intersections. Clinical management is tailored to disease type and severity. Endometriosis therapy emphasizes stepwise hormonal treatment, multidisciplinary pain management, and surgery when indicated. Endometrial cancer management relies on staging, with particular emphasis on molecular classification and histopathology to guide surgery, radiotherapy, chemotherapy, hormone therapy, and immunotherapy in advanced cases. Emerging noninvasive biomarkers and precision medicine strategies may enhance diagnosis, monitoring, and targeted treatment in both conditions. Understanding their shared and divergent mechanisms aids risk stratification, individualized therapy, and improved quality of life. Further prospective studies are needed to optimize patient-specific management and translate mechanistic insights into clinical practice. Full article

Background: Pleuroparenchymal fibroelastosis (PPFE) is a rare fibroelastotic lung disease characterized histologically by dense pleural and subpleural fibrosis with upper-lobe predominance. In clinical practice, diagnosis often relies on characteristic radiologic findings, as surgical lung biopsy is rarely feasible. Unlike idiopathic pulmonary fibrosis, robust radiologic criteria validated against biopsy-proven cohorts remain limited, and the diagnostic performance of imaging alone is incompletely defined. Although initially described as idiopathic, PPFE is increasingly recognized in secondary settings, including connective tissue disease-associated interstitial lung disease (CTD-ILD), where it frequently overlaps with more common fibrotic patterns. Methods: We conducted a focused narrative review of the literature on PPFE in CTD-ILD, synthesizing evidence on morphology, epidemiology, clinical course, prognostic implications, and proposed pathobiological mechanisms, with emphasis on distinguishing true PPFE from PPFE-like lesions. Results: CTD-associated PPFE is associated with accelerated lung function decline, increased risk of pneumothorax, and poorer outcomes, particularly in systemic sclerosis and rheumatoid arthritis. However, distinguishing true PPFE from radiologic mimics remains challenging, and diagnostic approaches rely heavily on imaging without robust histopathologic validation. Proposed mechanisms include epithelial injury, immune dysregulation, and vascular or lymphatic abnormalities, although causal links remain unproven. Significant gaps persist regarding natural history and therapeutic responsiveness. Conclusions: Earlier identification of PPFE in CTD-ILD is important, as misclassification may delay risk stratification and management. Longitudinal imaging, multidisciplinary evaluation, and standardized diagnostic criteria are needed to improve clinical care and guide future research. Full article