Search Results (659)

Porcine reproductive and respiratory syndrome virus (PRRSV) has the characteristics of a fast evolution rate and high genetic heterogeneity. PRRSV-1 and PRRSV-2 are co-circulating, and the threat they pose to the health of pigs worldwide continues to rise. In this study, two PRRSV strains with significantly different genetic backgrounds, namely SHEU-2022 (PRRSV-1, full length 15,050 nt) and SHCH-2023 (PRRSV-2, full length 15,019 nt), were simultaneously isolated from a single serum sample of a co-infected sow in Shanghai, China, and their whole-genome characteristics were analyzed. SHEU-2022 clustered with indigenous PRRSV-1 isolates in China, harbored a unique 15-nt deletion in the ORF3-ORF4 overlapping region, carried an additional N-glycosylation site on GP5, and replicated only in porcine alveolar macrophages (PAMs) under the conditions used. SHCH-2023 is a novel recombinant strain with a CH-1a-like (lineage 8) genome backbone and two NADC30-derived fragments—one in Nsp2 (sublineage 1.8) carrying the characteristic 131-amino acid deletion and one in the GP2/E region; it replicated in both PAMs and Marc-145 cells, though this may partly reflect the enrichment procedure. No PRRSV-1/PRRSV-2 recombination was detected between the two co-infected strains. Full article

Objectives: The objective of this study was to explore differences in short-term clinical response, renal outcomes, and healthcare resource utilization between two non-equivalent outpatient furosemide strategies: high-dose oral solution and subcutaneous administration. Methods: This retrospective observational study included 108 consecutive outpatients with advanced heart failure (HF) and diuretic resistance treated between January 2018 and December 2024. Patients received furosemide for 5 days as oral solution (250 mg/day; n = 81) or subcutaneous infusion via elastomeric pump (100 mg/day; n = 27). Primary endpoints were changes in functional status (NYHA [New York Heart Association] class), body weight, and renal function, assessed by changes in serum creatinine and estimated glomerular filtration rate and by clinically relevant worsening renal function criteria. Secondary endpoints included NT-proBNP changes and unplanned healthcare utilization at 30 days. Results: Both strategies were associated with short-term decongestion. Weight decreased similarly in both groups, with no difference in the proportion of patients achieving weight loss (oral 90% vs. subcutaneous 89%; p = 0.854). Functional improvement was more frequently observed in the oral-solution group (99% vs. 89%; p = 0.019). Renal outcomes were comparable between strategies, with no significant changes in eGFR and a similar proportion of patients experiencing a serum creatinine increase ≥0.3 mg/dL (25.9% vs. 22.2%; p = 0.85). No significant differences were observed in NT-proBNP changes. HF-related healthcare encounters decreased during the 30 days following treatment compared with the preceding 30-day period in the oral-solution group, whereas no significant within-group change was observed in the subcutaneous group. Conclusions: In this exploratory real-world cohort of patients with advanced HF and refractory congestion, both outpatient strategies were associated with short-term decongestion, with differences observed in symptomatic response. These findings are hypothesis-generating and warrant confirmation in prospective studies using comparable dosing strategies. Full article

Chronic kidney disease (CKD) and chronic heart failure (HF) frequently coexist, but renal dysfunction may not relate uniformly to symptom-based, biomarker, and echocardiographic measures. This retrospective single-center study evaluated 75 adults with CKD and pre-existing cardiologist-confirmed chronic HF, classified at baseline as eGFR G3b (n = 14), G4 (n = 48), or G5 (n = 13). NYHA functional class, NT-proBNP, and echocardiographic parameters were compared across eGFR G categories, and exploratory correlations with continuous eGFR were examined. NYHA functional class distribution differed across categories, with NYHA III–IV present in 14.3% of G3b, 20.8% of G4, and 61.5% of G5 patients. NT-proBNP and E/e′ also differed across categories, and eGFR correlated inversely with NT-proBNP (ρ = −0.251, p = 0.030) and E/e′ (ρ = −0.333, p = 0.003). In contrast, eGFR was not significantly correlated with ordinal NYHA class, LVEF, or PASP, while LVEF, PASP, LAVI, LVMI, and LVH did not differ significantly across eGFR categories. Given the small subgroup sizes, marked sex imbalance across eGFR categories, unadjusted analyses, and absence of correction for multiple comparisons, these findings should be considered descriptive and hypothesis-generating. They suggest partially concordant patterns across functional, biomarker, and echocardiographic domains rather than independent effects of renal function and support cautious multidomain interpretation in CKD–HF populations. Full article

Immune dysregulation characterized by persistent myeloid activation and associated impairment of regulatory T cell (Treg) function contributes to inflammatory signaling across peripheral and central compartments in neurodegenerative diseases. We evaluated whether combining a glucagon-like peptide-1 receptor agonist (GLP-1RA; semaglutide) with low-dose interleukin-2 (LD-IL2) could modulate myeloid-associated transcript expression and enhance Treg-associated regulatory transcripts in a subacute lipopolysaccharide (LPS)-induced model of systemic and CNS inflammation. Mice received LPS once daily for 5 days, while GLP-1RA, LD-IL2, or combination treatment was initiated 24 h after LPS onset and continued daily. Splenic immune populations were quantified, and transcript expressions were assessed in magnetically enriched CD11b⁺ myeloid cells and CD4⁺CD25⁺ Tregs, as well as in cortex and hippocampus. As monotherapies, GLP-1RA reduced myeloid expansion with modest modulation of pro-inflammatory and anti-inflammatory myeloid transcripts, whereas LD-IL2 selectively enhanced Treg numbers and increased transcripts associated with Treg stability and suppressive regulation, including Il2ra (CD25), Foxp3, Ctla4, Ikzf2 (HELIOS), Entpd1 (CD39), and Nt5e (CD73). Combination treatment significantly reduced LPS-induced myeloid Il6, Il1b, and Tnf expression and increased Arg1 expression. Combination treatment further enhanced Treg-associated Il2ra (CD25), Tgfb1, and Ctla4 expression relative to monotherapies. In cortical and hippocampal tissues, combination treatment produced more robust modulation of inflammatory transcripts compared with effects observed with monotherapies, including reductions in Il6 and Il1b and increases in Cd163 and Mrc1 (CD206) expression. Together, these findings demonstrate coordinated and complementary changes in peripheral immune-cell populations and myeloid inflammatory and Treg-associated regulatory transcripts and warrant further evaluation of this combination in inflammation-driven neurodegenerative disease. Full article

Biological soil crusts (BSCs) are critical components of alpine sandy land ecosystems, yet how their diazotrophic communities respond to plantation type and successional stage remains largely unknown. This study examined diazotrophic community differentiation in BSCs under four sand-fixing plantations (Salix psammophila SL, Caragana korshinskii NT, Salix cheilophila WL, Populus simonii XYY) across three successional stages in an alpine sandy land. Soil properties, microbial biomass, and enzyme activities were measured, along with nifH gene sequencing (Illumina), to characterize community composition and its relationships with environmental factors along BSCs succession. The results indicate that Skermanella, Mastigocladus, and Nostoc were the dominant diazotrophic groups in the study area. The Nostoc was the dominant genus across all plantation types, with the highest average relative abundance (37.92%) recorded in moss crusts under the XYY plantations. Diazotrophic α-diversity increased with BSCs succession, and β-diversity analysis (PCoA with ANOSIM) demonstrated significant community differentiation among plantation types (variance explanation = 50.91%, R = 0.59458, p = 0.001). Spearman’s and redundancy analysis (RDA) showed that sand-fixing plantations drive the differentiation of diazotrophic communities by regulating soil physicochemical properties and microbial metabolism. Furthermore, the diazotrophic communities in moss crusts exhibited stronger environmental responsiveness than those in algae crusts. In the COG functional categories, J (translation and ribosomal biogenesis, 7.92%), E (amino acid metabolism, 10.14%), and C (energy production, 7.11%) were identified as the core foundational functions of BSCs in the study area. The relative abundances of these functional categories showed convergence. In summary, different plantations were associated with distinct diazotrophic community compositions, and these associations were largely mediated by soil environmental factors. Concurrently, BSC succession covaried with enhanced differentiation in community structure and functional traits. These patterns are consistent with a stepwise response cascade linking vegetation and soil properties to diazotrophic communities and nitrogen metabolism functions. This study provides a theoretical basis for enhancing the stability and long-term restoration of artificial ecosystems by regulating diazotrophic communities in BSCs in alpine sandy land. Full article

The performance of coatings, corrosion barriers, photocatalysts, and tribological materials is greatly influenced by in situ surface properties, requiring highly sensitive and reproducible operando surface characterization methods. We previously developed a temperature-programmed photoelectron emission (TPPE) method to clarify electron transfer behavior on light-irradiated metal surfaces. TPPE is sensitive to surface temperature and prior chemical exposure, which affect the total photoemitted electron count (N_T), the photothreshold, and the activation energy derived from Arrhenius plots of N_T obtained during heating–cooling cycles. This study examines the reproducibility of TPPE data and the TPPE mechanisms for Cu₂O/Cu surfaces subjected to mechanical abrasion, cleaning, plasma treatment, and subsequent immersion in organic liquids. The resulting Arrhenius plots reveal both positive and negative activation energies, depending on the treatment conditions. Negative activation energies during cooling are associated with photoredox-mediated emission. TPPE is attributed to oxygen vacancies within the Cu₂O surface layer, which is interfaced with metallic Cu, serving as a direct probe of these vacancy-related states. The TPPE characteristics (N_T intensity and activation energy) following exposure to various polar and nonpolar organic molecules (e.g., acetone, toluene, hexane, and ethanol) correlate with the electronic properties of these vacancies, consistent with previous observations for ambient air, alcohol, and water vapor exposure. Under illumination, Cu₂O vacancy states enhance photocarrier extraction (electrons and holes) and accelerate surface redox reactions within adsorbed thin films, thereby improving photocatalytic performance. Notably, the solvent’s reciprocal dielectric constant significantly influences TPPE, indicative of electrostatic surface–solvent interactions. Finally, the TPPE mechanism is discussed in the context of antiviral inactivation at the metallic copper–environment interface. Full article

Background and Objectives: Although modern oncologic therapies have substantially improved cancer survival and overall prognosis, they have also led to an increasing burden of cardiovascular toxicity. Preventing severe complications such as heart failure and death remains a major priority, while maintaining the need for effective and potentially curative cancer therapy. Careful patient monitoring and early detection of cardiovascular complications may allow the timely implementation of cardioprotective strategies and treatments that could delay or prevent myocardial toxicity. Materials and Methods: A total of 92 women with breast cancer were enrolled in a prospective observational cohort study. All patients received an anthracycline-based chemotherapy regimen, cyclophosphamide, docetaxel and trastuzumab. Biomarker assessment, including NT-proBNP, high-sensitivity cardiac troponin I (hs-cTnI), Gal-3, and GDF-15, was performed at baseline and at the initiation of trastuzumab-based therapy. A comprehensive diastolic function assessment was performed, including transmitral Doppler flow parameters and tissue velocities. Patients were followed for 12 months, and all cardiovascular events occurring during the follow-up period were recorded. Results: Biological and ecocardiographic parameters were analyzed and multiple models of prediction were made. To identify predictors of estimated left ventricular filling pressure (eLVFP), stepwise multiple linear regression analyses were performed, and four significant predictors of left ventricular end-diastolic filling pressure were identified: one echocardiographic parameter (baseline LV filling pressure) and three biological variables (changes in Gal-3, GDF-15, and hs-cTnI levels after treatment). The overall regression model was highly significant (p < 0.001) and explained 77.07% of the variance in the dependent variable. Gal-3 was the strongest predictor of left ventricular filling pressure (p < 0.001). Conclusions: The regression analyses suggest that this phenotype is multifactorial, with echocardiographic indices capturing the functional component and circulating biomarkers reflecting complementary aspects of the underlying biological response. This multimodal approach may therefore help identify patients with early treatment-related cardiac changes and potentially those at increased risk of subsequent CTRCD, particularly during a period when conventional LVEF-based surveillance may still appear reassuring. Full article

Breast cancer (BRCA) possesses prominent molecular heterogeneity, where aberrant expression of genes annotated to asparagine metabolism networks drives malignant progression and therapeutic resistance. However, systematic construction of prognostic signatures from a holistic asparagine metabolic pathway perspective remains scarce, limiting the clinical translation of metabolic insights into prognostic tools. We integrated TCGA and GEO BRCA transcriptomic datasets to screen asparagine metabolism-related differentially expressed genes and build a prognostic model. Six biomarkers, SLC35A2, SRD5A2, NT5E, CEL, IFNG and CNR1, were selected via univariate Cox, LASSO and multivariate Cox regression. SRD5A2 and IFNG were enriched in low-risk patients, while the other four genes were upregulated in high-risk subgroups. This signature reliably stratifies patient prognosis, with risk scores correlating strongly with pathway activity, immune infiltration, immune checkpoints, mutation landscapes and drug responsiveness. Bioinformatic results were validated via TCGA cohort analysis, in vitro cellular assays and Western blot. Two in vivo models were established: 4T1 xenografts in 6-week-old BALB/c mice and DMBA/hormone-induced spontaneous breast tumors in 8-week-old SD rats. Tumors were generated by cell injection or DMBA gavage plus cyclic hormone treatment, and tissue sections were processed for immunohistochemistry. Consistent differential expression of the six core genes was validated across all in vitro and in vivo systems. In conclusion, this asparagine metabolism-associated signature offers candidate biomarkers for personalized prognosis and provides preclinical evidence for metabolism-targeted BRCA therapy. Full article

Search-and-rescue (SAR) missions following earthquakes and other disasters require aerial video perception systems that do more than detect objects in isolated frames. Operators must maintain the identities of access points, vehicles, responders, hazards, and other mission-relevant targets despite UAV ego-motion, dust, debris, occlusion, scale variation, and abrupt scene transitions. This paper presents E’CHIT (Edge-Oriented Colour Histogram Instance-Guided Tracking), a deployment-oriented, operator-centric UAV tracking framework for real-world disaster-response applications. Its primary scientific contribution is an identity-stabilised, detector-assisted tracking methodology. YOLOv8-seg proposals trained on D’RespNeT initialise and refresh tracks; a Custom-RE3 recurrent module propagates target states through short detector dropouts; and a lightweight EOMC verifier, based on edge orientation, mean colour, and shape consistency, determines whether tracks should be accepted, refreshed, or reacquired. A scene-cut watchdog that combines luminance mean absolute difference (MAD) with HSV histogram divergence prevents stale identities from carrying over after hard edits or sudden feed changes. Custom-RE3 is the continuation module implemented and evaluated in this study. The surrounding E’CHIT wrapper follows an initialise–reseed–verify–reset cycle and is tracker-adaptable at the software-interface level: another compatible SOT or MOT continuation module can be integrated through adapter modifications, state and bounding-box conversion, and method-specific retuning, followed by independent validation. All reported quantitative results therefore apply to the Custom-RE3 implementation. D’RespNeT, the optional reinforcement learning (RL) warm start, the HUD, and the deployment stack support this central tracking contribution. D’RespNeT provides 28 polygon-annotated SAR classes. An author-developed PPO/SAC script is used only during offline detector training. In the reported runs, it produces different early optimisation trajectories for selected difficult or under-represented classes, while the default supervised schedule remains the strongest final global mAP reference. No RL policy runs during deployment; the detector architecture, parameter count, and inference graph remain unchanged. Evaluation on D’RespNeT and authentic disaster-response UAV footage shows that E’CHIT increases Success@IoU ≥ 0.5 from 0.62 to 0.79, reduces identity switches by approximately 71%, and maintains real-time 1080p performance, achieving 164–330 FPS for single-target tracking and 24–100+ FPS for end-to-end multi-target operation on an RTX-class GPU using FP16. The VOT2014, NT-VOT211, and VOTS2024 figures reproduce historical result spaces reported in the literature and include a clearly labelled, non-official E’CHIT operating-point marker solely for context. This marker was not produced using the corresponding official datasets, toolkits, reset rules, or submission routes; it is excluded from the primary quantitative claims and must not be interpreted as a leaderboard rank or a protocol-identical comparison. Overall, the system demonstrates how identity-stable UAV tracks can provide actionable operator cues for target monitoring, entry-point assessment, and UAV–UGV/ground-team coordination in cluttered disaster scenes. Full article

(1) Background: Bovine viral diarrhea virus (BVDV) is an economically important pathogen affecting cattle worldwide. The genetic diversity of BVDV-2 in buffalo remains poorly understood. This study aimed to elucidate the genomic and antigenic features of GX24, the first BVDV-2b isolate identified from dairy buffalo in China. (2) Methods: The virus was isolated from a rectal swab through three blind passages in MDBK cells and identified through immunofluorescence and RT-PCR. The near-complete genome was sequenced using the Illumina platform and subjected to phylogenetic and recombination analysis. B-cell epitopes and glycosylation sites were predicted using BepiPred-3.0, Epitope1D, DiscoTope-3.0, NetNGlyc-1.0, and NetO-Glyc-4.0. (3) Results: The 12,267-nt GX24 genome (GenBank: PX682047) was classified as BVDV-2b. Recombination analysis detected a putative recombination signal within the NS5A gene involving Chinese BVDV-2b and Italian BVDV-2a strains. Integrative analyses predicted conserved linear and conformational epitope clusters in the N- and C-terminal regions of the E2 protein. Spatial analysis indicated that several epitope residues may be masked by glycan shielding. (4) Conclusions: This study provides the first genomic evidence of a BVDV-2b isolate from dairy buffalo in China, suggesting that BVDV-2b may be present in this population. The putative recombination signal and antigenic characteristics offer valuable insights for the development of diagnostics and vaccine design in the future. Full article

Wake-induced magnetic fields provide a potential non-acoustic signature for underwater-vehicle sensing, but their weak amplitudes can be masked by ocean-wave magnetic backgrounds. This study evaluates their engineering observability under representative wind–wave conditions. The wake-induced field at fixed observation points was calculated from CFD-derived wake velocities of an engineering-scale fully appended SUBOFF model using discrete Biot–Savart summation. The ocean-wave background was computed using a JONSWAP spectrum and linear wave theory, and a peak-to-background-rms SNR was used as the observability indicator. Results show that speed and diving depth strongly control the target signal. At the baseline point, increasing speed from 10 to 40 kn raised $B_{wake,max}$ from 0.0406 to 1.65 nT and SNR from −1.01 to 31.2 dB under W2. Increasing diving depth from $2D$ to $4D$ reduced $B_{wake,max}$ from 0.129 to 0.0204 nT and SNR from 9.03 to −6.99 dB. Wind speed dominated the wave background: at $U_{10}=10$ m/s, $B_{wave,rms}$ reached 0.542 nT and the Case 2 SNR decreased to −12.5 dB. Sensor placement affected both signal and background; deeper underwater sensors improved observability, whereas aerial observations suffered from weak wake-signal amplitudes. Wake-field observability is therefore jointly governed by wake source strength, ocean-wave magnetic background, and observation geometry. Full article

Background: Diabetic retinopathy (DR) is the most prevalent microvascular complication of type 2 diabetes mellitus (T2DM) and a recognised marker of systemic vascular injury. Whether DR—graded independently by two experienced ophthalmologists as part of routine institutional care—is independently associated with concurrent nephropathy (urine albumin-to-creatinine ratio [UACR] ≥ 30 mg/g) and subclinical cardiac stress (N-terminal pro-B-type natriuretic peptide [NT-proBNP] ≥ 125 pg/mL) remains insufficiently examined. Methods: Retrospective cross-sectional study of 401 T2DM adults who underwent dilated fundus examination independently graded by two board-certified ophthalmologists (each ≥ 10 years’ experience in diabetic eye disease) using ETDRS-based classification. Inter-physician agreement was quantified by Cohen’s weighted kappa. The primary composite outcome was concurrent nephropathy and subclinical cardiac stress. Multivariable logistic regression adjusted for age, sex, HbA1c, diabetes duration, eGFR, hypertension, and pharmacological treatments. Results: The composite outcome was present in 120 (64.2%) DR-positive vs. 14 (6.5%) DR-negative patients (crude OR: 25.59 (13.78–47.51); p < 0.001; fully adjusted OR: 21.49 (11.02–41.81); p < 0.001). Inter-physician agreement was high (Cohen’s weighted κ = 0.88; 95% CI: 0.83–0.93). Nephropathy alone was found in 164 (87.7%) vs. 76 (35.5%) patients (OR: 12.95 (7.71–21.75); p < 0.001), and elevated NT-proBNP in 137 (73.3%) vs. 39 (18.2%) patients (OR: 12.29 (7.65–19.76); p < 0.001). A significant trend across DR severity grades was observed (p for trend < 0.001), although the gradient was not strictly monotonic. ROC AUC = 0.837 (95% CI: 0.784–0.860). Conclusions: Ophthalmologist-graded DR was independently associated with the concurrent presence of albuminuria and elevated NT-proBNP in T2DM. Because the design is cross-sectional, these findings describe association rather than prediction or causation. They generate the hypothesis that retinal grading may help flag patients in whom cardiorenal biomarker assessment is worth considering, but prospective validation is required before any screening application. Full article

Introduction/Objectives: The mechanical reliability of prosthetic finger connectors is critical for daily prosthesis use, as these small load-bearing elements transmit forces between finger segments and are prone to localized stress concentration at hinge transitions. The objective of this study was to quantitatively evaluate the mechanical performance of prosthetic finger connectors and determine how material selection influences stress distribution and deformation behavior when connector geometry is maintained constant. Methods: A controlled comparative finite element analysis was performed using COMSOL Multiphysics 6.2 on a single prosthetic finger connector geometry manufactured from four candidate materials: titanium alloy Ti-6Al-4V (E = 110 GPa), polyetheretherketone (PEEK, E = 4.0 GPa), AvaSpire AV-621 NT (E = 3.0 GPa), and KetaSpire KT-820 FP (E = 4.1 GPa). Three representative loading scenarios were simulated using an axial grip force of 50 N and a bending moment of 0.5 N·m: (1) axial loading, (2) combined axial and forward bending, and (3) combined axial and reverse bending. Results: Across all loading conditions, peak von Mises stresses consistently localized at the hinge-transition region of the connector. Ti-6Al-4V demonstrated the lowest peak stress (approximately 2.2 MPa under combined forward bending) and the smallest maximum displacement (approximately 0.0005 mm). In contrast, the PEEK-family polymers showed greater deformation (0.0125–0.0167 mm) due to their lower elastic modulus, while maintaining comparable peak stresses of approximately 2.5–2.6 MPa. The stress profiles along the connector arc length were nearly identical among all materials, indicating that connector geometry primarily governs stress localization, whereas material stiffness mainly determines deformation magnitude. Conclusions: This study demonstrates that material selection strongly affects prosthetic finger connector compliance, while stress concentration behavior is mainly controlled by geometry. The obtained quantitative comparison provides design-oriented guidance for selecting between Ti-6Al-4V and PEEK-based polymers for the development of lightweight and mechanically reliable prosthetic finger connectors. Full article

Conventional biomarkers provide useful information but often lack specificity due to age-related physiological variations or in the context of congenital heart disease (CHD). Proteomics uses new technologies to analyze hundreds to thousands of proteins simultaneously (multi-biomarker panels) and, combined with traditional ones (i.e., NT-BNP), it improves risk prediction and helps clinical decision making. In adults, there are clear efforts to improve risk prediction accuracy and personalized HF management strategies; meanwhile, more evidence must be established in the pediatric CHD population. This non-systematic review aims to give an overview of the limitations of conventional biomarkers and recently published literature on promising evolving biomarkers of the proteomic family that are applicable to the CHD population. Due to the highly complex physiology and interpretation of the anatomical variation of the biomarkers, it seems to be necessary for single markers to be tested in the pediatric population with various CHD anatomies and physiologies. Disease-specific validation is required, rather than assuming they behave the same way as they do in structurally normal hearts and adults. Full article

Background/Objectives: Inflammatory and metabolic abnormalities are common in patients hospitalized with heart failure (HF), particularly during episodes of decompensation. Their associations with short-term in-hospital outcomes remain incompletely understood. Methods: We retrospectively reviewed 499 patients with documented chronic HF who were admitted for acute medical conditions between January and May 2024. The cohort was not limited to patients admitted for HF exacerbation; patients were classified as having compensated or decompensated HF at admission. Body mass index (BMI) was available for 498 patients, whereas HF status at admission was available for all 499 patients. Clinical, metabolic, and laboratory parameters were analyzed, with particular attention to C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune–inflammation index (SII), and N-terminal pro-B-type natriuretic peptide (NT-proBNP). Patients were stratified according to BMI category (<25 kg/m² or ≥25 kg/m²) and HF status at admission. Associations with all-cause in-hospital mortality were evaluated using multivariable logistic regression analysis. Results: Patients with decompensated HF at admission had higher CRP, NLR, PLR, SII, and NT-proBNP levels, as well as lower hemoglobin and eGFR values. All-cause in-hospital mortality was numerically higher in patients with BMI < 25 kg/m² than in those with BMI ≥ 25 kg/m² (8.4% vs. 4.2%), but the difference was not statistically significant (Pearson’s χ² test, p = 0.063). In adjusted analyses, CRP and SII were associated with all-cause in-hospital mortality, whereas NT-proBNP was not. Patients with higher BMI more often had glycemic and lipid abnormalities, whereas those with lower BMI had a more pronounced inflammatory profile. The apparent area under the curve (AUC) values were 0.793 for the CRP-based model and 0.814 for the SII-based model; after bootstrap correction, the optimism-corrected AUC values were 0.729 and 0.754, respectively. Conclusions: Higher CRP and SII levels were associated with all-cause in-hospital mortality after adjustment for selected clinical variables. Full article