Search Results (4,903)

Rapid urbanization and industrialization have profoundly affected aquatic ecosystems in urban rivers, with phytoplankton taxa and functional group composition being particularly sensitive to environmental changes. Field surveys were conducted in the Nanming River, Guiyang, in October 2018 and July 2019, with 33 sampling sites evenly distributed across the upstream, midstream, and downstream reaches. The results revealed that: (1) The phytoplankton community comprised 6 phyla, 53 genera, and 61 species, dominated by Bacillariophyta, Chlorophyta, and Cyanobacteria. The community was classified into 20 functional groups, among which B, D, MP, P, and S1 were dominant and exhibited clear spatial heterogeneity along the longitudinal gradient. (2) Analysis of variance indicated that physicochemical parameters were the dominant factors explaining the variation in phytoplankton taxonomic and functional groups, with their independent contribution significantly higher than that of anthropogenic disturbance indicators and geographical factors. Redundancy analysis further identified NH₄-N, TP, and TN as key environmental factors. Spearman’s correlation analysis further indicated that human activities alter ambient environmental conditions, which are significantly correlated with dissolved oxygen and chlorophyll a levels, thereby driving the differentiation of phytoplankton niches. (3) Functional group succession followed a distinct spatial pattern: upstream areas were dominated by groups P, SN, and Y, reflecting agricultural non-point source inputs; midstream areas were dominated by groups W1, H1, and S1, characteristic of urban complex pollution; and downstream areas were dominated by groups C and X1, indicating cumulative nutrient loading. Collectively, this study elucidates the driving mechanisms of phytoplankton dynamics in karst urban rivers and provides a scientific foundation for water quality monitoring, eutrophication risk pre-warning, and aquatic ecological restoration. Full article

The ability to generate and sustain high punch intensity is a key determinant of boxing performance. However, the relationship between mechanical output and physiological responses during intermittent high-intensity efforts remains insufficiently understood. This pilot study explored associations between mechanical punch intensity and physiological responses in elite and amateur boxers, considering sex and competitive level. Twenty boxers (10 elite and 10 amateurs; 5 males and 5 females per group) were assessed using the inertial sensor-derived Intensity Score to quantify mechanical punch intensity, alongside physiological measurements of heart rate (HR) and oxygen uptake (VO₂) during a Repeated Punch Ability Test (RPAT). Data were analyzed using repeated-measures ANOVA and Spearman correlations (p < 0.05). A significant main effect of round was observed for all variables (p < 0.001), with a progressive decline in mechanical punch intensity and stabilization of physiological responses after the first round. Elite boxers showed descriptively higher mechanical punch intensity values than amateurs, particularly in later rounds, but subgroup comparisons should be considered preliminary. Correlation analyses indicated a positive association between mechanical punch intensity and VO₂ that appeared to increase from the first to the third round (ρ = 0.398–0.563; p < 0.05), whereas the relationship with HR was weak or negative. No significant correlations were found between HR and VO₂. Overall, the findings suggest preliminary patterns in which fatigue and competitive level may be associated with mechanical punch intensity, while VO₂ may become more closely related to mechanical output under fatigue. These results should be interpreted as exploratory and non-causal. Full article

Objective: Low serum albumin has been linked to morbidity and mortality in critically ill patients, including those with COVID-19. Whether serum globulin levels and albumin/globulin ratios (AGRs) can serve as biomarkers in COVID-19 is less well-characterized. This study assessed serum total protein, albumin, globulin levels, and AGR in relation to clinical outcomes in adults hospitalized with COVID-19 pneumonia. Methods: A retrospective EMR analysis was conducted among 569 hospitalized patients with COVID-19 pneumonia identified during the study period, of whom 60 met inclusion criteria of the required clinical immunologic and laboratory data and comprised the final analytic cohort. Variables included demographics and laboratory markers (total protein, albumin, globulin, immunoglobulins, CRP, and IL-6). The study evaluated: (1) Charlson Comorbidity Index (CCI), (2) Charlson 10-Year Estimated Survival (C10YES), (3) clinical severity using the NEWS-2 score, (4) length of hospital stay (LOS), and (5) mortality. Spearman correlations, chi-square tests, and regression analyses were conducted. Results: Albumin was independently associated with CCI, C10YES, and LOS in adjusted models (p = 0.01, p = 0.004, and p < 0.001, respectively), as was AGR (p = 0.012, p = 0.006, and p = 0.024, respectively). Decreasing total protein levels were independently associated with higher NEWS-2 scores, lower C10YES, and longer LOS (p = 0.009, p = 0.042, and p < 0.001, respectively). Increasing age was associated with longer LOS after adjustment for sex and the other plasma proteins. Globulin levels were not associated with clinical outcomes. Conclusions: Lower serum total protein was associated with higher COVID-19 severity, and lower albumin and AGR were associated with greater morbidity, lower predicted survival, and longer LOS. Increasing age was associated with longer LOS. In patients hospitalized with COVID-19 pneumonia, albumin and AGR may serve as potential biomarkers facilitating personalized risk stratification of hospital course and recovery. Full article

Background: Population ageing increases the burden of chronic diseases, multimorbidity, and functional limitations, making nutrition and lifestyle important modifiable determinants of healthy ageing. Universities of the Third Age (U3A) provide an educational and social environment for older adults, but multidimensional relationships between nutrition knowledge, diet quality, lifestyle, and health status in this population remain insufficiently characterized. This study aimed to assess these associations among older adults attending U3A in Poland. Methodology: A cross-sectional online survey was conducted between January and April 2026 among community-dwelling older adults participating in U3A programs. Of 700 distributed invitations and 520 returned questionnaires, 450 complete and eligible responses were included. The questionnaire was based on the KomPAN^® framework and expanded with items on health, lifestyle, psychosocial resources, barriers to healthy eating, and sources of health information. Diet quality was assessed using the pro-Healthy Diet Index, non-Healthy Diet Index, and overall Diet Quality Index (DQI). Nutrition knowledge was measured using a 24-item scale. Analyses included distributional diagnostics, non-parametric group comparisons, FDR-corrected Spearman correlations, psychometric assessment, principal component analysis, multivariable regression with model diagnostics, and profile segmentation. Results: The mean age was 73.63 ± 5.73 years, and most participants were women. The median DQI was 15.59 [3.93–24.86], with a predominance of neutral diet quality. Nutrition knowledge was moderate, with a median score of 12.00 [9.00–15.00], and the scale showed very good internal consistency. PCA identified three dietary patterns: convenience/ultra-processed, prudent/health-promoting, and traditional meat-and-fat. Higher DQI was associated with better nutrition knowledge, greater physical activity, a more favorable sleep profile, regular meal timing, and lower disease burden. Participants with multimorbidity had significantly lower DQI. Segmentation distinguished a health-engaged/higher-resource profile and a lower-resource/nutritionally vulnerable profile. Conclusions: U3A participants in Poland are educationally and socially active but nutritionally heterogeneous. The predominance of neutral diet quality, moderate nutrition knowledge, and identifiable knowledge gaps indicates the need for targeted, practical, and behavior-oriented nutrition education supporting healthy ageing. Full article

The effect of increasing levels of coconut oil (CO: 0, 100, 200, and 300 g/kg of supplement DM) on productive performance, feed intake, rumen fermentation, microbiota, and gene expression was evaluated in 24 calves (Bos indicus × Bos taurus; 180 ± 10 kg BW) on rotational grazing (Cynodon dactylon) in a completely randomized design (n = 6) for 112 days. Supplement intake (offer–refusal) and forage intake (external marker: chromium) were measured. On day 112, rumen fluid (fermentation profile, protozoa, and metagenomic analysis: 16S rRNA V3-V4) and total blood (DNA microarray: M22k) were collected. Genomic analyses were performed by comparing the control vs. the group with the best productive response. For statistical analysis, SAS PROC GLM (initial weight as a covariate), orthogonal polynomials, the Tukey test, and Spearman correlation were used, considering significant effects (p ≤ 0.05) and trend (p ≤ 0.1). The inclusion of 200 g CO/kg supplement DM showed the best average daily gain (p = 0.018; +0.139 kg/d) with the highest retained energy (p = 0.02; +0.631 Mcal/d) versus the control group. In the rumen, propionate increased (p ≤ 0.05), while protozoa decreased (p < 0.0001) and the methanogenic archaea tended to decrease (Methanobacteriaceae −44%, p = 0.08; Thermoplasmatales −35%, p = 0.06). At the transcriptional level, 19 hub genes were modulated by CO, suggesting a lower intracellular signaling (cAMP-PKA-CREB) associated with a lower stress condition and better energy metabolism regulation. In conclusion, 200 g CO/kg supplement DM is a viable strategy for improving the productive performance of livestock in tropical systems. Full article

Background and Objectives: This prospective cohort study aimed to assess patellar and tibial donor-site bone defect volume and regeneration on MRI at 4 weeks and 12 months after bone–patellar tendon–bone anterior cruciate ligament reconstruction and to determine their association with knee function and donor-site morbidity at 12 months. Materials and Methods: This single-center prospective observational cohort study included 30 patients who underwent ACL reconstruction with a BTB autograft. Donor-site bone defect volume was estimated on MRI using a triangular prism approximation at 4 weeks and 12 months by two independent evaluators blinded to patient-reported outcome scores. Clinical outcomes were assessed at 12 months using the International Knee Documentation Committee (IKDC) subjective knee form and the Donor Site Morbidity Questionnaire (DSMQ). Associations between MRI-derived parameters and patient-reported outcomes were analyzed using Spearman’s rank correlation coefficient. Results: At 4 weeks, mean donor-site bone defect volume was 2602.4 ± 684.7 mm³ in the patella and 2993.9 ± 714.3 mm³ in the tibia. At 12 months, defect volume decreased to 628.0 ± 279.7 mm³ and 980.8 ± 488.2 mm³, respectively. Tibial defects were significantly larger than patellar defects at both time points, while regeneration was significantly greater in the patella than in the tibia (74.8 ± 11.5% vs. 67.2 ± 15.1%; p = 0.0264). Regeneration was not significantly associated with IKDC or DSMQ scores (all p > 0.05). Larger patellar defect volume at 4 weeks was associated with worse subjective outcomes (both p = 0.0107). Conclusions: After BTB ACL reconstruction, tibial donor-site bone defects were larger, whereas patellar defects showed greater regeneration over time. Larger patellar defect volume at 4 weeks, but not regeneration percentage, was associated with worse subjective outcomes at 12 months. Full article

Female empowerment in post-conflict rural contexts is strategic for food security and socioeconomic resilience. This study analyzed the relationship between women’s productive empowerment and food security in 40 rural women involved in pig production in Santa Rosa del Sur, Bolívar, Colombia. A mixed approach with a descriptive–exploratory design and longitudinal scope was used. Data collection employed adapted versions of the Women’s Empowerment in Agriculture Index (A-WEAgI) and the Household Food Insecurity Access Scale (HFIAS), alongside participant observation and reflective thematic analysis. Quantitative data were analyzed via descriptive statistics and Spearman correlation. The baseline revealed low empowerment regarding income, resources, technical capacities, and time. The global A-WEAgI reached 21%, while HFIAS showed moderate food insecurity in 52% of households. Spearman analysis (CS) indicated moderate negative correlations between food insecurity and income (CS = −0.56), access to resources (CS = −0.51), and technical capacities (CS = −0.49), suggesting that greater women´s empowerment was associates with lower food insecurity. Post-intervention, improvements occurred in technical skills, leadership, and organizational participation. Qualitative findings showed increased confidence in Agroindustry activities, though limitations in economic autonomy, commercialization, and domestic workloads persisted. Gender-focused rural strategies enhance productive capacities and food resilience; however, structural barriers related to economic autonomy and gender inequality persist. Full article

Background: Patients undergoing open-heart surgery (OHS) are at risk of postoperative morbidity and mortality. Physical performance has been increasingly recognized as an important factor influencing postoperative outcomes. Therefore, the study aimed to investigate the associations and predictive value of physical performance on postoperative complications and duration of hospital stay. Methods: A prospective cohort study was conducted in 116 patients who were admitted to OHS. Preoperative assessment of physical performance, i.e., Short Physical Performance Battery (SPPB), Five Times Sit to Stand Test (5STS), gait speed (5 m walk test: 5MWT), Timed Up and Go (TUG), and handgrip strength. Duration of hospital stay and incidence of post-operative complications were recorded. Differences between participants with and without postoperative complications were analyzed using independent samples t-tests for continuous variables and chi-square tests for categorical variables. The associations between physical performance and postoperative outcomes were assessed using Spearman’s rank correlation coefficient. Hierarchical regression analysis was conducted to determine the predictive contribution of physical performance. Results: A total of 116 participants were submitted for OHS in two medical school hospitals; however, 108 individuals completed the pre-operative physical performance. The most common procedures were coronary artery bypass grafting and valve surgery. Fifty-one participants (47.22%) experienced postoperative complications, including five deaths, corresponding to 4.63% mortality. For the length of hospital stay analysis, five participants who died postoperatively were excluded, resulting in a final sample of 103 participants. Physical performance was significantly associated with the length of hospital stay (p < 0.05). Hierarchical regression analysis showed that the final prediction model explained 13.4% of the variance in length of hospital stay, with SPPB independently contributing an additional 6.0% to the model, followed by 5STS, 5MWT, handgrip strength, and TUG, which accounted for an additional 5.1%, 4.6%, 4.4%, and 3.7%, respectively. Conclusions: Preoperative physical performance was associated with length of hospital stay. While each measure explained a relatively small proportion of the variance in hospital stay, these assessments offer a simple, non-invasive, and clinically feasible approach to evaluating functional reserve before surgery. These findings highlight the importance of incorporating functional assessment into perioperative care to support risk stratification and guide rehabilitation strategies. Full article

Background/Objectives: Weight loss achieved through lifestyle interventions has been demonstrated to improve the clinical prognosis of female hyperandrogenism. However, the interplay between such interventions, androgens, and glucose–lipid metabolism remains heterogeneous. This study evaluated the effects of lifestyle-induced weight loss on glucose and lipid metabolism and androgen levels in Chinese women of reproductive age with hyperandrogenism and examined the association between the degree of weight loss and changes in androgen levels, glucose and lipid metabolism, exercise capacity, and dietary patterns. Methods: This observational study, based on real-world clinical settings, collected medical records of women of reproductive age with hyperandrogenism who underwent weight-loss interventions between July 2023 and September 2025. Correlation analysis employed Spearman’s rank correlation coefficient, whilst pre- and post-weight-loss comparisons utilised paired t-tests or Wilcoxon signed-rank tests. Results: After a follow-up of 6 to 7 months, a total of 66 participants achieved a mean weight loss of 5.67 ± 4.27 kg. Statistically significant reductions were observed in testosterone (0.40 ± 0.10 vs. 0.30 ± 0.10 ng/mL, p < 0.001), androstenedione (p < 0.001), and the free androgen index (p < 0.001). Glucose metabolism showed statistically significant improvement, with decreases in HOMA-IR (p = 0.040), fasting glucose (p = 0.001), and fasting/2 h postprandial insulin (p < 0.001). However, lipid profiles showed no statistically significant changes. Multiple linear regression revealed that change in testosterone was independently and inversely associated with change in apolipoprotein A1 (β = −0.496, p = 0.008), while change in dehydroepiandrosterone sulfate was inversely associated with change in fasting insulin (β = −0.357, p = 0.032). A non-linear, inverted U-shaped relationship was found between weight loss magnitude and change in sex hormone-binding globulin, with moderate weight loss (5–10%) yielding the greatest increase (p = 0.044). Marked weight loss (≥10%) was associated with the lowest follow-up fasting insulin levels (p = 0.039). Conclusions: Weight loss achieved through lifestyle interventions is associated with improvements in androgen levels and glucose metabolism, though its impact on lipid metabolism remains limited. The degree of improvement in insulin sensitivity correlates more strongly with the magnitude of weight reduction. Full article

Background/Objectives. Automated lateral ventricle volumetry is increasingly used in population-based neuroimaging, but correlation between methods does not establish agreement of absolute volumes. We quantified agreement and calibration between FreeSurfer and a visually quality-controlled FSL/FAST–ALVIN lateral ventricle workflow within the Study of Health in Pomerania (SHIP). Methods. This cross-sectional agreement-and-calibration study included 2988 SHIP participants with visually accepted FSL/FAST–ALVIN total lateral ventricle volumes; paired FreeSurfer data were available for 1913 participants. FSL/FAST–ALVIN was treated as the study reference scale rather than biological ground truth. Agreement was assessed using Pearson and Spearman correlations, Bland–Altman analysis, log-ratio agreement, Lin’s concordance correlation coefficient, and a two-way mixed-effects single-measure absolute agreement intraclass correlation coefficient. Directional calibration models predicted FSL/FAST–ALVIN volume from FreeSurfer volume and were internally validated using 2000 bootstrap resamples. Results. In the paired sample, volumes were almost perfectly associated (Pearson r = 0.9978; Spearman ρ = 0.9974), but FreeSurfer yielded systematically lower values (mean FreeSurfer-minus-FSL bias, −3.02 mL; 95% limits of agreement, −4.52 to −1.53 mL; geometric mean FreeSurfer/FSL ratio, 0.844). Lin’s concordance coefficient and the absolute agreement ICC were both 0.9598. Calibration was strong but workflow-specific: FSL/FAST–ALVIN volume = 2.611 + 1.0210 × FreeSurfer volume (R2 = 0.9955; optimism-corrected RMSE = 0.732 mL). Conclusions. FreeSurfer and visually quality-controlled FSL/FAST–ALVIN preserved participant ranking extremely well but were not directly interchangeable as absolute measurements. Cross-workflow comparisons require explicit method reporting, formal agreement analysis, and calibration to the intended measurement scale; the equation should not be used as a universal conversion formula outside comparable acquisition, segmentation, QC and software settings. Full article

Supplier selection in healthcare is a complex multi-criteria decision-making (MCDM) challenge requiring a balance of sustainability, resilience, and operational efficiency. Traditional methods struggle with scalability and subjectivity when applied to large administrative datasets. This study introduces a transparent hybrid Machine Learning–MCDM (ML–MCDM) framework, validated using a U.S. Medicare dataset of 661 suppliers. The framework integrates eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP) for criterion prioritization, the Full Consistency Method (FUCOM) for mathematically consistent weighting, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for final ranking. As the dataset lacks direct sustainability metrics, seven indicators were synthetically generated; thus, the results serve as proof-of-concept demonstration of the framework’s architecture. Specifically, XGBoost–SHAP is trained to predict a synthetically constructed Overall Performance Score (OPS), meaning that the resulting feature importance output constitutes an algorithmic consistency check—confirming that the pipeline correctly recovers importance signals deliberately embedded in the training target. For interpretability, suppliers were segmented into five performance profiles via K-Means: Strategic Partners (17.7%), Green Leaders (18.6%), Reliable Emergency Suppliers (18.2%), Balanced Performers (20.4%), and Developing Suppliers (25.1%). Carbon Footprint Score (0.408) and Emergency Response Capability (0.316) achieved the highest feature importance. FUCOM-derived weights prioritized On-Time Delivery Rate (0.272), Carbon Footprint Score (0.222), and Emergency Response Capability (0.220). The top supplier attained a TOPSIS closeness coefficient of 0.800, showing strong discrimination. Sensitivity analysis across four scenarios confirmed ranking robustness, maintaining Spearman correlations ρ ≥ 0.977. This ML–FUCOM–TOPSIS approach provides an auditable, scalable, and policy-relevant decision-support tool, enabling procurement managers to navigate high-dimensional data while ensuring operational continuity and environmental responsibility in healthcare supply chains. Full article

Red clover (Trifolium pratense L.) is an important forage legume that is also a valuable source of bioactive compounds with potential health-promoting properties. This study evaluated the variability among diploid (2n) and tetraploid (4n) red clover cultivars in forage productivity, quality-related parameters, polyphenol and flavonoid content, and antioxidant activity, in order to identify promising ideotypes for dual-purpose breeding. A total of 90 cultivars were assessed under field conditions; green matter yield, dry matter yield, crude protein content, and protein yield were analyzed together with total polyphenols, total flavonoids, and antioxidant activity. Spearman correlation and principal component analysis (PCA) were used to relate the traits and identify cultivars with contrasting characteristics. Cultivar differentiation was pronounced within each ploidy group, whereas diploid and tetraploid cultivars overlapped substantially in the multivariate space, indicating that ploidy alone is not a reliable predictor of forage or medicinal value. At the group level, tetraploids tended toward higher biomass, protein-related traits, and total polyphenol concentration, while total flavonoids and antioxidant activity were broadly comparable between groups. Forage- and medicinal-related traits were only weakly correlated and thus behaved as largely independent selection targets—which is precisely why integrated multi-trait evaluation is required to identify cultivars combining both. Several cultivars did combine favorable agronomic and phytochemical characteristics, supporting within-group selection of red clover germplasm with dual forage and medicinal potential for sustainable agricultural systems. Full article

Introduction: Skates (Rajidae) are cornerstone elasmobranchs, yet their intrinsic biological constraints, like slow growth, late maturation, and low fecundity, render them exceptionally susceptible to anthropogenic pressure. Despite their ecological and economic importance, tracking their population trajectories is historically hindered by “taxonomic blurring” and aggregated reporting in commercial fisheries. Objective: This study evaluates long-term conservation trends and exploitation dynamics of Rajidae species in the Northeast Atlantic and the Mediterranean Sea. Methodology: We analyzed 31 Rajidae species across the Northeast Atlantic and the Mediterranean Sea (FAO Areas 27 and 37) by integrating IUCN Red List assessments, species-specific life-history traits (maximum body size and depth distribution), and FAO fisheries landing data from 1992 to 2023. Descriptive analyses and Spearman correlations were used to assess temporal trends in conservation status and exploitation patterns. Results: Our synthesis reveals that some species show improvements in IUCN Red List category assessments, likely driven by recent management interventions such as species-specific reporting, catch quotas, and targeted retention bans. However, we also identify a critical mismatch between policy and biology: current Total Allowable Catches (TACs) and minimum landing sizes often do not explicitly incorporate species-specific life-history traits, inadvertently favoring smaller, less-marketable taxa while leaving larger, vulnerable species at risk. While FAO landings offer a valuable broad-scale overview of exploitation, the results highlight the limitations of aggregated fisheries statistics for species-level conservation assessments. Conclusions: These findings underline the need to adopt more precise and species-specific fisheries management approaches for Rajidae, including expanded regional monitoring programs, the use of data collected by on-board observers or electronic monitoring tools, and improved control of data reporting procedures, to prevent continued aggregation of species-level data. Full article

Background/Objectives: Informed consent (IC) is an essential component of medical practice; however, patients’ understanding of medical information remains challenging. This study aimed to assess both objective and self-perceived comprehension of information presented in an IC scenario and to identify factors associated with understanding. Methods: A cross-sectional study was conducted using an anonymous online questionnaire with 275 adult participants in Romania. The questionnaire included a standardized IC scenario followed by comprehension assessment questions. Each correct answer was assigned one point, generating a total comprehension score ranging from 0 to 8. Self-perceived comprehension was evaluated using a Likert scale. Statistical analyses included descriptive statistics to summarize participant characteristics and questionnaire responses, Spearman’s correlations to examine associations between self-perceived comprehension and objective comprehension scores, independent samples t-tests and ANOVA to compare comprehension scores across participant groups, and multiple linear regression to identify independent predictors of comprehension. Results: The mean comprehension score was 6.81 ± 1.48, indicating a generally high level of understanding. A moderate positive correlation was observed between objective and self-perceived comprehension (ρ = 0.35, p < 0.001). Non-healthcare participants achieved slightly higher scores than healthcare field participants (p = 0.046), while educational level was not significantly associated with comprehension score (p = 0.566). Multiple linear regression analysis identified self-perceived comprehension as a significant independent predictor of the comprehension score (β = 0.381, p < 0.001). Conclusions: Although the overall level of comprehension was high, discrepancies between self-perceived comprehension and objective comprehension were identified. These findings highlight the importance of patient-centered communication strategies and the need to actively verify patient understanding during the informed consent process to support truly informed decision-making. Full article

Background: Increasing evidence suggests that schizophrenia may be associated with peripheral immune–inflammatory alterations, although the distributional characteristics and heterogeneity of routinely available complete blood count (CBC)-derived inflammatory indices in real-world psychiatric inpatient settings remain insufficiently characterized. The present study aimed to descriptively evaluate the distributional properties of CBC-derived inflammatory markers in hospitalized patients with schizophrenia using an exploratory panel-based analytical framework. Methods: We conducted a retrospective cross-sectional analysis using anonymized CBC laboratory panels obtained from hospitalized patients with schizophrenia at a tertiary psychiatric center. Following panel reconstruction and quality control procedures, 858 structurally valid CBC panels were included in the analyses. Primary inflammatory indices included neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune–inflammation index (SII). Descriptive distributional analyses, threshold-based prevalence estimation, Spearman correlation analyses, and exploratory unsupervised clustering procedures were performed to evaluate inflammatory variability and internal distributional patterns within the dataset. Results: Median NLR was 2.51 (IQR: 1.95–3.55), median MLR was 0.25 (IQR: 0.19–0.31), median PLR was 124.10 (IQR: 100.40–163.94), and median SII was 686.96 (IQR: 484.81–1045.85). Threshold-based analyses demonstrated substantial variability in inflammatory burden distributions, with 35.9% of panels showing NLR > 3 and 27.0% demonstrating SII > 1000. Correlation analyses revealed strong positive associations among NLR, PLR, and SII, whereas RDW-CV and MPV demonstrated weaker and more heterogeneous relationships with the principal inflammatory indices. Exploratory clustering analyses generated two distributional clusters, including a smaller cluster exhibiting relatively higher NLR, MLR, PLR, SII, WBC, and platelet values than the remaining panels. Female panels demonstrated significantly higher PLR and SII distributions following false discovery rate (FDR) correction. Conclusions: The present findings suggest that CBC-derived inflammatory indices demonstrate substantial distributional variability within this panel-based schizophrenia dataset. Although the exploratory design, absence of patient-level linkage, and lack of clinical confounder adjustment substantially limit biological interpretation, routinely available hematological inflammatory markers may still provide a pragmatic framework for descriptive characterization of inflammatory variability patterns in real-world psychiatric populations. Future patient-level longitudinal studies integrating clinical, pharmacological, and molecular variables will be necessary to determine the potential clinical relevance of inflammatory heterogeneity in schizophrenia. Full article