Search Results (6,880)

Vitamin K is a fat-soluble vitamin essential for the activation of vitamin K-dependent proteins involved in coagulation and other physiological processes. Neonates are particularly vulnerable to vitamin K deficiency due to limited placental transfer, low hepatic stores, immature liver function, and insufficient dietary intake, especially in exclusively breastfed infants. This review summarizes the biochemistry and pharmacokinetics of vitamin K, focusing on their role in the pathogenesis of late vitamin K deficiency bleeding (VKDB), including intracranial hemorrhage in early infancy. The limitations of conventional coagulation tests are discussed, highlighting the importance of functional biomarkers such as PIVKA-II (Proteins Induced by Vitamin K Absence or Antagonist-II) for the early detection of subclinical deficiency. Despite effective prophylaxis at birth, late VKDB cases still occur, likely due to declining vitamin K levels over time and nutritional factors. These findings underscore the need for prolonged vitamin K supplementation following adequate prophylaxis at birth, particularly to protect high-risk newborns from late VKDB. Strategies may include vitamin K-containing multivitamin supplementation in preterm infants, as well as daily oral vitamin K supplementation (150 µg/day) in exclusively breastfed infants, in order to ensure adequate vitamin K status during early infancy. Full article

Background/Objectives: Unhealthy dietary behaviors and suboptimal oral hygiene practices remain common among Italian children, potentially affecting both nutritional and oral health. Dental caries, a preventable yet highly prevalent condition in pediatric populations, has a multifactorial etiology in which lifestyle factors play a key role. This study aimed to assess the prevalence of dental caries, dietary habits, and oral hygiene behaviors in school-aged children in Lombardy, and to identify factors associated with prevalent caries status. Methods: A cross-sectional study was conducted on 307 schoolchildren aged 9–10 years from ten schools in Northern Italy. Oral health status was evaluated through the plaque index and the DMFT/dmft index during school-based dental examinations. Dietary habits, lifestyle, and oral hygiene practices were collected through structured questionnaires. A mixed-effects logistic regression model was developed to explore potential associations between variables and prevalent caries status. Results: The dietary patterns, weight status, oral hygiene behaviors, and oral health conditions were generally consistent with the national data. Higher plaque index, skipping breakfast, consuming mid-morning snacks, and parental reports of previous caries experiences were retained in the final model. Internal validation suggested reasonable discriminatory ability overall, whereas calibration shows heterogeneity across schools. Conclusions: The findings highlight suboptimal dietary and oral hygiene behaviors among Lombardy schoolchildren and confirm their association with dental caries. Lifestyle-related factors, particularly oral hygiene practices and eating patterns, showed a relevant association with prevalent caries status in the analyzed sample. These results underscore the need for targeted preventive strategies integrating nutritional education and oral health promotion in pediatric populations. Full article

Background/Objectives: Current management of Hereditary Angioedema (HAE) predominantly focuses on acute attack control and prophylaxis. However, the cumulative “inter-attack” burden driven by chronic low-grade inflammation and its impact on physical frailty remain under-investigated. This preliminary, proof-of-concept study proposes a novel composite score, the “Hereditary Angioedema Frailty and Inflammation Score” (HAE-FIS), to quantify this inter-attack frailty-like inflammatory burden. Methods: In this single-center retrospective study, 46 patients with C1-inhibitor deficiency were evaluated. The HAE-FIS (range 0–5) was constructed using five routinely available biomarkers reflecting inflammation and nutritional status: C-reactive protein (CRP), albumin, hemoglobin, body mass index (BMI), and inter-attack symptom burden. Patients were categorized based on annual attack frequency (Infrequent ≤ 6 vs. Frequent > 6 attacks/year). Results: The median diagnostic delay was 12.0 years. Patients with frequent attacks had significantly higher median HAE-FIS scores compared to the infrequent group (p = 0.008). Component analysis revealed that ‘High CRP’ (46.4% vs. 16.7%; p = 0.039) and ‘Low BMI’ (25.0% vs. 0.0%; p = 0.032) were significantly more prevalent in patients with frequent attacks. Notably, low BMI was observed exclusively in the frequent attack group, suggesting a specific phenotype at risk for sarcopenia. While multivariable logistic regression was constrained by the sample size, the annual attack count emerged as the strongest predictor for a high HAE-FIS score (OR: 1.049; p = 0.070). Conclusions: High attack frequency in HAE is associated with a measurable cumulative systemic burden characterized by inflammation and nutritional risk. These findings support the development of an “HAE Rehabilitation” framework integrating functional preservation into long-term management. Full article

Malnutrition—including undernutrition, micronutrient deficiencies and overweight—remains a major public health concern in sub-Saharan Africa, largely driven by food insecurity. Edible insects have been proposed as a sustainable, nutrient-dense dietary alternative with potential to improve food security and nutritional outcomes. This review analyses studies published until January 2024 in PubMed and Google Scholar assessing the prevalence, acceptability and nutritional impact of insect-based diets in sub-Saharan Africa. Thirteen original studies, predominantly qualitative, conducted in 8 of 47 countries in the region, met inclusion criteria. Two reviews provided additional evidence. Most studies focused on acceptability, which was strongly influenced by cultural and religious norms. Higher acceptance was observed among older individuals and those with lower educational attainment, while younger and more urbanized populations showed greater reluctance. Reported motivations for consumption included tradition, taste and perceived nutritional value. Some studies highlighted potential health risks related to food safety and the need for improved regulatory frameworks. The available nutritional analyses showed that edible insects are rich in protein and essential micronutrients, particularly iron and zinc, suggesting their potential to address common deficiencies. Although evidence on long-term nutritional impact remains limited, current findings support the feasibility and potential public health relevance of promoting insect-based diets in low-income settings. Full article

Background: Body mass index (BMI) is widely used as a proxy of nutritional status and related lifestyle risk patterns in public health, yet it does not capture body composition–related heterogeneity in cardiometabolic risk. Evidence on whether a more detailed body composition assessment improves population-level screening efficiency remains inconsistent, particularly in Central European populations. Methods: We conducted a cross-sectional analysis of 868 Hungarian adults participating in a nationwide mobile screening program. Locally weighted regression identified sex-specific BMI inflection points for cardiometabolic risk. Stratified receiver operating characteristic (ROC) analyses compared BMI with bioelectrical impedance-derived parameters across five outcomes. Cost- and time-effectiveness of scalable screening strategies were modeled at the population level. Results: Cardiometabolic risk increased at BMI levels below current WHO thresholds (females: 21.8–22.3 kg/m²; males: 23.8–24.3 kg/m²). Overall, body composition parameters did not outperform BMI in the full population. Subgroup-specific differences were observed, particularly among men with BMI 24–36 kg/m² for atherosclerosis risk, suggesting limited and outcome-specific added value rather than broad superiority over BMI. Together, non-linear risk patterns, stratified performance, and population-level modeling converged on mid-range BMI intervals (females: 22–30 kg/m²; males: 24–30 kg/m²) as likely screening windows of phenotypic heterogeneity. Within these ranges, targeted InBody assessment may help refine risk assessment for selected individuals. A mixed screening strategy covering 52% of the population would cost 178.4% of BMI-only screening, while reducing throughput by 24.3%. Conclusions: Population-specific BMI thresholds may more accurately reflect early deviations in nutritional and cardiometabolic risk than current universal cutoffs. BMI remains a useful first-line marker, and body composition assessment may add complementary information in selected BMI ranges. Overall, these findings support a potentially useful, subgroup-specific screening approach, but the modeled cost and time trade-offs should be considered hypothesis-generating and require further validation. Full article

Background/Objectives: Preterm birth (PTB) is a major public health concern worldwide, which may lead to detrimental maternal and neonatal outcomes. Maternal nutritional status, gestational weight gain (GWG), and lifestyle factors are potentially modifiable determinants of adverse pregnancy outcomes. This study examined the association between PTB and maternal GWG and assessed whether maternal dietary habits and lifestyle factors were related to GWG in women delivering preterm versus at term. Methods: A retrospective case–control study was conducted at a tertiary center in Hungary (MANOR Study, 2019). The case group included n = 100 women with PTB, while n = 200 matched term deliveries served as controls (1:2 ratio). Data were collected using a self-administered questionnaire and medical records. Pre-pregnancy body mass index (BMI) was categorized using standard definitions, while GWG was classified as inadequate, recommended, or excessive according to the US 2009 Institute of Medicine guidelines. A 7-item dietary index score was calculated based on gestational dietary habits. Results: Pre-pregnancy BMI distribution did not considerably differ between groups (p > 0.05); over one-third of women in both groups were overweight or had obesity (38.7% vs. 36.7%). Previous PTB (p < 0.001) and gestational hypertension (GHT) (p = 0.003) were more common among current PTB cases, while smoking, alcohol consumption, and gestational diabetes mellitus (GDM) showed negligible differences (p > 0.05)—28.0% of cases, and 34.5% of controls were classified as having healthy dietary habits, based on the dietary index score calculated. Inadequate GWG was more prevalent among PTB cases (49.0% vs. 26.8%), whereas excessive GWG was less frequent among cases (21.9% vs. 38.4%). Being within the recommended GWG range and the manifestation of gestational hypertension were associated with lower (aOR: 0.39; 95% CI: 0.18–0.87; p = 0.020) and higher (aOR: 3.43; 95% CI: 1.44–8.19; p = 0.005) odds of PTB, respectively. Conclusions: Inadequate GWG was more common in PTB, while excessive GWG was more frequent in term pregnancies. Fast-food consumption was associated with excessive GWG among term births. Optimizing GWG and improving maternal diet quality should be included as key, cross-cutting interventions targeting the improvement of antenatal care. Full article

Background/Objectives: Malnutrition in cancer adversely affects treatment outcomes and survival. Early intervention through oral nutritional supplements (ONSs) and dietary counseling can improve outcomes. This study evaluated the evolution of nutritional and morphofunctional parameters over three months in malnourished patients with cancer undergoing a comprehensive nutritional support program comprising dietary counseling, physical activity, and a novel concentrated high-protein, high-calorie ONS (cHPHC-ONS) with a high intrinsic leucine content. Methods: A prospective, observational, multicenter cohort study was conducted across 18 public hospitals in Spain. Two hundred thirty malnourished patients with cancer were enrolled: 147 naïve (no ONS treatment in the last three months) and 83 non-naïve (who transitioned to cHPHC-ONS after inadequate response to initial ONSs). Nutritional status was assessed using Global Leadership Initiative on Malnutrition (GLIM) criteria and morphofunctional parameters via bioelectrical impedance analysis, nutritional ultrasound, handgrip strength, the Timed Up and Go (TUG) test, and analysis of biochemical parameters. Results: After three months, 23.8% achieved normal GLIM nutritional status (p < 0.0001), with a greater improvement seen in non-naïve patients (28.4%, p < 0.0001). Weight loss ceased in 42.6% (p < 0.0001). and inflammation resolved for 10.3% (p = 0.0015). Non-naïve patients experienced a significant increase in fat-free mass index (p = 0.0159), appendicular skeletal muscle index (p = 0.0248), and rectus femoris cross-sectional area (p = 0.0016). Muscle strength increased significantly by +1.7 kg (p = 0.0025), and TUG test time decreased by 1.13 s (p = 0.0003) overall. Conclusions: The comprehensive nutritional support program—including a novel cHPHC-ONS, along with dietary and physical activity guidance—significantly improved the nutritional and morphofunctional status of malnourished patients with cancer, with benefits particularly evident in non-naïve individuals. Limitations: Observational design, no control group, short follow-up, and unadjusted non-multivariable comparisons, limiting causal inference. Full article

Background: Body mass index (BMI) is a common nutritional marker, but admission-only measurements present limitations. Early dynamic BMI changes may better reflect metabolic stress and fluid balance. However, the clinical significance of early BMI trajectory during critical illness remains poorly understood. This study evaluated the impact of early BMI trajectory on mortality and ventilator weaning in critically ill patients. Methods: This retrospective cohort study included 1355 adult patients (ICU stay ≥ 7 days) admitted to the medical ICU between 2019 and 2025. BMI trajectory was defined as the percentage change from admission to day 7 and was categorized into three groups: decrease (>5% reduction), stable (±5%), and increase (>5% gain). Multivariable Cox proportional hazard and logistic regression analyses were performed to evaluate the association between BMI trajectory and clinical outcomes. Results: Of the 1355 patients, 15.9%, 57.7%, and 26.4% were in the decrease, stable, and increase groups, respectively. The increase group demonstrated significantly higher hospital mortality (52.5%) than the decrease (41.9%) and stable (40.0%) groups (p = 0.001). Multivariable analysis revealed that an increasing BMI trajectory was independently associated with higher hospital mortality (HR 1.25, 95% CI 1.05–1.48). A decreasing BMI trajectory strongly predicted successful ventilator weaning (OR 2.76, 95% CI 1.81–4.21). Conclusions: Early BMI trajectory significantly predicted ICU outcomes. Increasing and decreasing BMI were associated with higher mortality and improved ventilator weaning, respectively. These findings suggest that BMI trajectory may be a simple surrogate marker of metabolic stress, nutritional status, and fluid balance during early critical illness. Full article

Background: Critical illness is characterized by profound and rapidly evolving metabolic derangements driven by systemic inflammation, hypercatabolism, fluid shifts, and endocrine dysregulation. These dynamic changes markedly limit the accuracy of predictive equations, increasing the risk of both underfeeding and overfeeding. Indirect Calorimetry Energy represents the gold standard for measuring energy expenditure, while bioelectrical impedance vector analysis (BIVA) provides complementary insights into hydration status, cellular integrity, and body cell mass. In palliative care, AI-supported integration of indirect calorimetry and BIVA enables goal-concordant artificial nutrition by aligning energy delivery with real-time metabolic status while minimizing symptom burden. Artificial intelligence (AI) has emerged as a promising tool to integrate these heterogeneous data streams and support adaptive nutritional strategies. Methods: We conducted a structured narrative review of the literature published between 2000 and 2025 using PubMed, Scopus, Embase, and Web of Science. Artificial intelligence was not used to perform the literature search or study selection. Instead, AI was analyzed as a clinical and technological component within the included studies and explored as a future enabling strategy. Eligible publications involved adult critically ill patients and addressed indirect calorimetry, BIVA-derived parameters, or AI-based metabolic modeling applied to nutritional support. Given the heterogeneity of study designs and outcomes, findings were synthesized qualitatively. Results: Predictive equations showed substantial inaccuracy in unstable metabolic states, with errors frequently exceeding ±20–40%. Indirect calorimetry enabled individualized assessment of energy expenditure but remained limited by intermittent availability. Serial BIVA assessments consistently identified clinically relevant alterations in hydration status, body cell mass, and phase angle, the latter being strongly associated with adverse outcomes. Studies incorporating AI demonstrated improved integration of calorimetry, BIVA, and clinical variables, allowing identification of metabolic phenotypes, anticipation of metabolic shifts, and generation of adaptive nutritional recommendations. Conclusions: This narrative review highlights the complementary roles of Indirect Calorimetry and BIVA in characterizing metabolic needs in critical illness. Artificial intelligence does not replace these tools but enhances their clinical utility by integrating multidimensional data into dynamic, patient-specific nutritional strategies. The combined AI–IC–BIVA approach represents a promising framework for metabolic precision nutrition in the ICU, warranting prospective validation. Full article

Background: Reliable biomarkers that capture tumor–host interactions and predict treatment resistance in extensive-stage small cell lung cancer (SCLC) remain limited. We evaluated the prognostic and predictive value of the pretreatment lactate dehydrogenase-to-albumin ratio (LAR), an integrative biomarker reflecting metabolic activity, systemic inflammation, and host nutritional status. Methods: This multicenter, retrospective cohort study included patients with extensive-stage SCLC treated at five tertiary centers between 2016 and 2024. Pretreatment LAR was calculated using baseline serum lactate dehydrogenase and albumin levels and dichotomized using a Youden index-derived cut-off at the 12-month overall survival (OS) horizon. Time-dependent receiver operating characteristic (ROC) analyses using inverse probability weighting were performed to assess discriminative performance. Survival outcomes were evaluated using Kaplan–Meier estimates and Cox proportional hazards models. Associations with platinum resistance and lack of objective treatment benefit (defined as progressive disease as best response) were examined using logistic regression models. Results: A total of 223 patients were included. Elevated LAR was associated with inferior OS (median, 15.8 vs. 25.2 months; log-rank p < 0.001) and progression-free survival (7.9 vs. 11.5 months; p < 0.001). In multivariable analysis, LAR remained independently associated with OS (HR, 1.43; 95% CI, 1.04–1.95; p = 0.028). LAR demonstrated modest but consistently superior discriminative performance compared with other inflammatory indices for both 12-month OS (area under the curve [AUC], 0.692) and 6-month progression-free survival (PFS) (AUC, 0.646), with statistically significant differences in DeLong comparisons. Higher LAR was independently associated with increased odds of platinum resistance (adjusted odds ratio [aOR], 2.31; 95% CI, 1.41–3.81; p = 0.001) and lack of objective treatment benefit (adjusted OR, 2.04; 95% CI, 1.33–3.14; p = 0.001). Conclusions: Pretreatment LAR is a clinically accessible and biologically integrative biomarker associated with survival and treatment resistance in extensive-stage SCLC. By capturing tumor–host interactions, LAR may support risk stratification and identify patients at increased risk of early treatment failure. Prospective validation is warranted to define its role in biomarker-driven clinical decision-making. Full article

Background: Albania has undergone a rapid demographic transition characterized by pronounced population aging. Comprehensive geriatric assessment—functional performance, validated nutritional screening tools, and systematic evaluation of morbidities—is essential for accurately characterizing frailty and identifying the risk of malnutrition in its early stages. The objective of the present study was to improve the assessment of the health status of Albanian older adults, both community-dwelling and residing in long-term care facilities, by addressing both functional and nutritional components. Methods: This observational study included Albanian older adults aged ≥ 65 years, both institutionalized and community-dwelling. Frailty and nutritional status were assessed using validated questionnaires (Grauer Geriatric Functional Evaluation and Mini Nutritional Assessment—MNA), alongside body composition analysis performed by bioelectrical impedance analysis (BIA). Results: Data for 123 older adults were analyzed (56.9% female; mean age 71.3 ± 7.4 years; 54.5% institutionalized vs. 45.5% community-dwelling). A high prevalence of frailty and multimorbidity was observed, particularly among institutionalized older adults. With regard to nutritional status, marked age-related differences were identified among females, with a pronounced deterioration in those aged over 75 years. Body-composition-derived parameters identified a substantially higher proportion of individuals at risk of malnutrition compared with other conventional anthropometric measures. Low body cell mass index (BCMI) and institutionalization were the factors with the strongest independent associations with frailty (AOR 5.02, 95% CI 1.69–14.87, p = 0.004, and AOR 5.71, 95% CI 1.76–18.54, p = 0.004, respectively), while low BCMI was the only variable associated with an increased risk of malnutrition (AOR 4.88, 95% CI 1.78–13.40, p = 0.002). Conclusions: These exploratory findings suggest that incorporating body composition parameters into geriatric assessment may provide complementary information alongside traditional screening tools to support the development of targeted preventive and therapeutic strategies. Full article

Background: Blood flow restriction training (BFRT) is a low-load resistance training modality capable of inducing muscle hypertrophy and strength adaptations that are comparable to traditional high-load resistance training. Beyond athletic performance settings, BFRT has growing relevance for musculoskeletal health, rehabilitation and populations unable to tolerate high mechanical loads. However, substantial inter-individual variability in adaptive responses has been reported. Genetic and molecular factors may partly contribute to this variability and inform more individualised exercise strategies. Other intrinsic and extrinsic factors, including age, sex, training status, nutrition, and protocol-related differences, may also influence adaptive responses. Objective: This scoping review aimed to map available evidence on molecular modulators of adaptation to BFRT and to identify gaps in the literature regarding genetic influences on BFRT responses. Methods: A structured search of PubMed, Web of Science and Google Scholar was conducted till 1 February 2026. Experimental and quasi-experimental studies examining BFRT in relation to genetic polymorphisms, gene expression, and molecular signalling pathways associated with strength and hypertrophy outcomes were included. Primary outcomes were genetic and molecular factors relevant to BFRT adaptation, including genetic polymorphisms, gene expression, and molecular signalling markers. Secondary outcomes included muscle strength, hypertrophy, vascular responses, and related functional outcomes where reported. Study selection and data extraction were conducted according to PRISMA-ScR guidelines. The methodological quality of randomised controlled trials was assessed using the PEDro scale. This scoping review was registered retrospectively in the Open Science Framework on 17 March 2026, after completion of the literature search. Results: From an initial 47 records, only three studies (n = 3) met the inclusion criteria. The included studies reported molecular responses associated with BFRT, including downregulation of proteolytic genes, suppression of myostatin expression, and upregulation of angiogenic markers. Notably, no studies directly examined genetic polymorphism or genotype–BFRT interactions, highlighting a clear need for these studies in this field. Conclusions: This scoping review therefore identifies a critical evidence gap, with genotype-informed BFRT prescription remaining unsupported by the current literature. Limited evidence supports the possible role of BFRT in molecular responses associated with muscle adaptation. Future research should prioritise well-designed studies integrating both genetic and molecular analyses to better understand inter-individual variability in BFRT adaptations. Full article

Background/Objectives: A blunted growth hormone (GH) response in stimulation tests (GHSTs) in obese patients is well documented, with less evidence for insulin-like growth factor-1 (IGF-1) concentrations. The aim of this study was to assess the relationships between nutritional status, GH peak in GHST, and IGF-1 concentrations, and to develop machine learning prediction models of GH deficiency (GHD) in children with short stature. Methods: A case–control study included 1592 children with short stature, whose height, weight, body mass index (BMI), GH peak in two GHSTs, IGF-1 concentration and bone age (BA) were assessed. The cut-off of GH peak in two GHSTs between GHD and idiopathic short stature (ISS) was 10.0 µg/L; additionally, a lower cut-off of 7.0 µg/L was used in repeated analysis. Univariate statistical analyses and classification models were used to identify variables related to the normal and subnormal results of GHST. Results: Depending on the cut-off of GH peak (10.0 vs. 7.0 µg/L), GHD was diagnosed in 604 vs. 279 patients (37.9% vs. 17.5%). Children with GHD had significantly lower (p < 0.001) BMI SDS and IGF-1 SDS than ones with ISS for both cut-offs of GH peak. Overnutrition was associated with the lowest GH peak but the highest IGF-1 SDS; the opposite results were observed in undernutrition. A decision tree predicted GHD in 156 patients, in 149 based on BMI SDS > 0.91. A Naïve Bayes classifier predicted GHD in 118 cases, with BMI SDS and IGF-1 SDS being the only significant variables. The best multilayer perceptron (MLP) neural network predicted GHD in 310 patients, while a logistic regression model did so in 269 patients.. Conclusions: Interpretation of GHST should include the patient’s nutritional status in order to avoid overdiagnosis of GHD in overweight and obese children. Full article

Despite the productivity and economic limitations imposed by environmental and climatic conditions, livestock systems play a fundamental role in preserving habitats and high-conservation-value species, while delivering a broad spectrum of ecosystem services to rural populations. Breeders need timely information to produce safe, inexpensive, environmentally, and welfare-friendly food products. Information on feeding and nutrition is of particular importance since it represents a significant percentage of animal breeding costs. Automating the collection, analysis, and use of production-related information on livestock feeding systems represents one of the central challenges facing the sector. Precision feeding systems (PFSs) have deeply changed farm management by providing new information on the health status of animals, their welfare, and nutritional requirements. PFSs encompass modern electronic and ICT-related (information and communication technologies) technologies that facilitate the electronic measurement of critical components, ensuring optimum efficiency of both resource use and animal productivity. This review analyzes the current state and potential applications of precision feeding systems for sustainable livestock production. The implementation and feasibility of PFSs have been investigated across the major animal production species and contexts. Based on the available literature, real-time monitoring and control systems can improve the production efficiency of livestock farms. However, further research is needed, as several components of PFSs are still at different stages of development and commercial readiness. Full article

Background/Objectives: Metastatic pancreatic cancer is a highly lethal disease, and clinically useful biomarkers for outcome stratification are limited. Uric acid reflects systemic metabolic stress and inflammatory signaling, suggesting potential relevance as a tumor–host biomarker. However, the clinical significance of uric acid-based composite biomarkers in pancreatic cancer remains unclear. Methods: In this multicenter retrospective cohort study, 110 patients with metastatic pancreatic adenocarcinoma treated between 2015 and 2024 were analyzed. Sex-adjusted uric acid-based biomarkers were calculated using uric acid z-scores normalized by sex and integrated with markers of nutritional and immune status, including the uric acid z-score-to-albumin ratio (UAzAR) and uric acid z-score-to-lymphocyte ratio (UAzLR). Associations with overall survival (OS), progression-free survival (PFS), and chemotherapy response were evaluated using Kaplan–Meier analysis, Cox proportional hazards models, receiver operating characteristic (ROC) analyses, and multivariate logistic regression. Results: The median OS and PFS for the entire cohort were 12.6 months (95% CI 11.3–13.9) and 7.5 months (95% CI 6.6–8.4), respectively. Patients with high UAzAR had significantly shorter OS than those with low UAzAR (7.3 vs. 16.4 months; log-rank p < 0.001), and similar findings were observed for UAzLR (7.4 vs. 16.4 months; p < 0.001). In multivariate Cox models, elevated UAzAR independently predicted inferior OS (HR] 3.10, 95% CI 1.58–6.09; p = 0.001) and PFS (HR 2.35, 95% CI 1.22–4.52; p = 0.010), while elevated UAzLR was similarly associated with reduced OS (HR 3.28, 95% CI 1.68–6.39; p < 0.001) and PFS (HR 2.47, 95% CI 1.30–4.70; p = 0.006). High UAzAR and UAzLR were also independently associated with chemotherapy failure (adjusted odds ratio [OR] 5.52, 95% CI 2.16–14.06 and OR 6.42, 95% CI 2.49–16.55; both p < 0.001). In ROC analyses, UAzAR and UAzLR demonstrated moderate discrimination for 12-month OS (AUC 0.659 and 0.658) and stronger discrimination for 6-month PFS (AUC 0.705 and 0.692). Conclusions: Sex-adjusted uric acid-derived composite biomarkers independently predict survival and chemotherapy response in metastatic pancreatic cancer and may identify a high-risk metabolic phenotype relevant for clinical risk stratification. Full article