Search Results (606)

Background: Serum markers are commonly used to diagnose bone and joint infections; however, their accuracy for diagnosing pyogenic spondylitis remains unproven. This study aimed to validate the diagnostic accuracy of inflammatory, nutritional, and immunological serum markers for spinal infections and identify the most effective combinations. Methods: The retrospective cohort study analyzed 656 patients who visited the hospital for spinal diseases between 1 January 2004 and 31 March 2021; a total of 76 were diagnosed with pyogenic spondylitis. Blood samples were analyzed for serum albumin (Alb), total protein (TP), globulin (Glb), C-reactive protein (CRP), platelet count, white blood cell count, neutrophil count, lymphocyte count, and monocyte count. Combination markers, including albumin–globulin ratio (AGR), CRP–albumin ratio (CAR), CRP–AGR (CAGR), neutrophil–lymphocyte ratio (NLR), and platelet–lymphocyte ratio (PLR), were also evaluated. Receiver operating characteristic curves were used to determine each marker’s diagnostic performance. Furthermore, multivariate analysis was performed to examine the odds ratios. Results: Patients with pyogenic spondylitis showed significantly different levels in Alb (p < 0.0001), Glb (p < 0.0001), CRP (p < 0.0001), platelet count (p < 0.0001), WBC count (p < 0.0006), neutrophil count (p = 0.0019), lymphocyte count (p = 0.0085), AGR (p < 0.0001), CAR (p < 0.0001), CAGR (p < 0.0001), NLR (p < 0.0001), and PLR (p < 0.0001). CRP (AUC = 0.80) showed good diagnostic accuracy, while combination markers CAR (AUC = 0.82) and CAGR (AUC = 0.83) had the highest areas under the curve (AUC). Multivariate analysis indicated that decreased age and the presence of comorbidities (including chronic kidney disease, chronic liver disease, malignancy, or diabetes), were independent predictors of early pyogenic spondylitis (OR_age = 0.93, OR_comorbidities = 16.98, p_age = 0.0005, and p_comorbidities = 0.0001). In patients with low-inflammatory pyogenic spondylitis, significant differences were observed in TP (p = 0.0293), Glb (p = 0.0012), CRP (p = 0.0023), platelet count (p = 0.0108), AGR (p = 0.0044), CAR (p = 0.0006), CAGR (p = 0.0004), PLR (p = 0.0192), and NLR (p = 0.0027), with CAGR showing the highest AUC (AUC = 0.70) among them. Conclusions: Serum combination markers (AGR, CAGR, CAR, PLR, and NLR) showed diagnostic value for pyogenic spondylitis, with CAGR achieving the highest accuracy. In low-inflammatory pyogenic spondylitis patients (CRP ≤ 1.0 mg/dL), these markers may aid diagnosis. Full article

Background/Objectives: Mismatch repair (MMR) deficiency assessment has proven to be a valuable tool for prognostic evaluation and therapeutic management guidance in patients with colorectal cancer (CRC). Our study aimed to investigate the associations between MMR deficiency and a range of clinicopathological parameters. Methods: We conducted a retrospective observational study including 264 patients diagnosed with CRC, for whom immunohistochemical (IHC) data were available. Statistical analysis was performed using the Python 3.12.7 programming language within the Jupyter Notebook environment (Anaconda distribution). Results: MMR deficiency was identified in 18.18% of patients. It was significantly associated with younger age (<50 years), female sex, right-sided tumor location, poor tumor differentiation (G3), smoking, and loss of CDX2 expression (p < 0.001). MLH1 and PMS2 were the most frequently affected proteins, with concurrent loss in 77.08% of MMR-deficient cases. Loss of MLH1 expression correlated with female sex (p = 0.004), right-sided location (p < 0.001), poor differentiation (p < 0.001), and loss of CDX2 expression (p < 0.001). Additionally, the loss of PMS2 expression was associated with female sex (p = 0.015), right-sided tumor location (p = 0.003), and poor differentiation (p < 0.001). No significant associations were identified between MMR status and tumor stage, histological subtype, PLR, or NLR values. Conclusions: Gaining deeper insights into the clinical relevance of MMR status in CRC could contribute to improved testing rates and support the design of tailored management strategies that address the specific biological features of these tumors. Full article

Background and Objectives: Systemic inflammatory markers from an ordinary complete blood count (CBC) may foreshadow where non-small-cell lung cancer (NSCLC) will first spread, but organ-specific signatures remain poorly defined. Materials and Methods: We retrospectively reviewed 302 adults (mean age 60.7 ± 13.4 years; 80.8% men) with stage IV NSCLC managed at OncoHelp Medical Center, Timișoara, between January 2022 and December 2024. Eligibility demanded a single radiologically confirmed distant site at diagnosis and pre-treatment CBC. Neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR), and lymphocyte-to-monocyte (LMR) ratios were compared across pleural (n = 52), bone (n = 86), liver (n = 66), and brain (n = 98) metastases using Kruskal–Wallis tests with Bonferroni adjustment; z-standardized logistic models identified independent predictors. Results: Metastases clustered most often in brain (32.5%), followed by bone (28.5%), liver (21.9%), and pleura (17.2%). Median PLR rose selectively in pleural disease (274 vs. 217–253 in other sites; p = 0.006). LMR fell to 2.0 in bone but climbed to 2.8 in brain lesions (p = 0.032 and 0.008, respectively). NLR was globally elevated (6.7–7.6), yet differed significantly only for bone and liver deposits. Logistic modeling showed that each standard-deviation rise in absolute neutrophil count quadrupled the odds of hepatic involvement (Odd Ratio (OR) 4.26; 99% Confidence inerval (CI) 2.20–6.25), monocytosis nearly doubled bone risk (OR 1.83; 1.01–3.33), while higher erythrocytes, eosinophils, and lymphocytes independently protected against pleural seeding (all p < 0.01). Age-stratified analysis revealed that osseous and cerebral metastases predominated in patients ≤ 50 years, whereas inflammatory indices were age-invariant. Conclusions: Routine CBC ratios encode distinct “inflammatory fingerprints” that mirror the first metastatic destination in NSCLC: platelets herald pleural spread, neutrophils favor liver and bone, and divergent lymphocyte–monocyte balances separate bone from brain. Although no substitute for cross-sectional imaging, these low-cost markers could refine clinical suspicion, guide targeted work-up, and illuminate the biology of organ-selective dissemination, particularly in resource-limited settings. Full article

Background and Objectives: Otitis media with effusion (OME), frequently associated with obstructive adenoid hypertrophy (OAH), is a leading cause of paediatric hearing loss. Clinically distinguishing effusion types (serous vs. mucoid) and predicting postoperative hearing recovery are unresolved challenges. This study evaluated the utility of preoperative blood inflammatory markers in predicting effusion characteristics and short-term hearing outcomes following adenoidectomy with tympanostomy tube (TT) insertion. Materials and Methods: In this retrospective cohort study, 232 children under 12 years old in 2024 and undergoing adenoidectomy (with or without TT insertion) were categorised into serous OME (n = 42), mucoid OME (n = 78), and non-effusion (n = 112) groups. Preoperative blood sample analyses assessed neutrophil, lymphocyte, eosinophil, basophil, and platelet counts, along with derived indices, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), eosinophil-to-basophil ratio (EBR), mean platelet volume (MPV), and systemic immune–inflammation index (SII). Hearing was evaluated at 2 weeks and 1 month postoperatively. Statistical analyses used SPSS v.28, with significance set at p < 0.05. Result: Mucoid OME patients exhibited significantly elevated neutrophil counts, platelet counts, eosinophils, NLR, and SII compared to those in serous OME and non-effusion groups (p < 0.05). All serous OME children achieved normal hearing by the first follow-up, whereas 15.4% of mucoid OME cases had transient mild hearing loss persisting after 2 weeks (p = 0.008; OR=15.97) but resolving by 1 month. Preoperative neutrophil count independently predicted delayed hearing recovery (p = 0.021). Conclusions: Systemic inflammatory markers, particularly neutrophil count, NLR, and SII, effectively differentiate mucoid OME from other effusion types and correlate with short-term hearing recovery. Neutrophil count may serve as a prognostic tool for surgical planning and patient counselling. Prospective studies are warranted to validate these findings in broader paediatric populations. Full article

Background/Objectives: This study was designed to investigate the relationship between peripheral hematological inflammation markers, namely, neutrophil/lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), systemic immune inflammation index (SII), and systemic inflammatory response index (SIRI) and high-grade cervical lesions (CIN2+). Methods: A retrospective cohort analysis was conducted on 358 patients who underwent cervical excision procedures. Patients were divided into two groups: <CIN2 and CIN2+. Preoperative complete blood count data were used to calculate the inflammation indices. HPV genotypes were also recorded. Logistic regression and ROC analyses were performed to evaluate the predictive performance. Results: CIN2+ lesions were detected in 69.6% of participants. In the univariate analysis, only age and HPV 16 positivity (p < 0.005) showed a significant association with the presence of CIN2+. NLR, PLR, MLR, SII, and SIRI values did not show significant differences between groups (all p > 0.05). In the multivariate analysis, increasing age was independently associated with a decrease in the risk of CIN2+ (OR = 0.96, 95% CI: 0.94–0.99), while HPV 16 positivity was associated with an increase in risk (OR = 2.44, 95% CI: 1.43–4.18). ROC analysis showed that combining age and HPV 16 status improved the specificity (85.1%) of predicting CIN2+ compared to using age alone (42.2%). Conclusions: Peripheral haematological inflammation markers (NLR, PLR, MLR, SII, and SIRI) did not show predictive value in predicting CIN2+ lesions. However, age and HPV 16 infection were found to be independent predictors. These findings suggest that haematological indices may reflect systemic inflammatory responses but are not sufficient on their own for the detection of CIN2+. HPV genotyping is of critical importance for the early detection of high-grade lesions. Full article

Background/Objectives: Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra (SN), pathological accumulation of alpha-synuclein, and chronic neuroinflammation. The aim of this study is to evaluate the serum levels of systemic inflammatory markers such as neutrophil–lymphocyte ratio (NLR), neutrophil-HDL ratio (NHR), monocyte-HDL ratio (MHR), platelet–lymphocyte ratio (PLR), IL-6, IGF-1, systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) in patients with PD, and to analyze the relationship between these markers and the clinical stage of the disease as well as its motor and non-motor symptoms. Methods: Fifty-one patients diagnosed with PD and forty-nine HC matched for age and sex were evaluated prospectively. Results: NLR, NHR, and IGF-1 levels were found to be significantly higher in the PD group compared to the HC group (p < 0.05). There was no significant difference between the two groups in terms of PLR, MHR, SII, and SIRI. No significant relationship was found between the inflammatory markers and disease duration, clinical scales, or symptoms. Conclusions: These findings support the role of systemic inflammation in the pathophysiology of PD. Further multi-center, long-term follow-up studies—including simultaneous measurements of central nervous system inflammation markers—are needed for translation into clinical practice. Full article

Ischemic stroke triggers a dynamic immune response that influences both acute damage and long-term recovery. This review synthesizes a decade of evidence on immunological and inflammatory biomarkers in ischemic stroke, emphasizing their prognostic and therapeutic significance. Following ischemic insult, levels of pro-inflammatory cytokines, such as interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α), and chemokines like interleukin-8 (IL-8) rapidly rise, promoting blood–brain barrier disruption, leukocyte infiltration, and neuronal death. Conversely, anti-inflammatory mediators such as interleukin-10 (IL-10) and transforming growth factor-β (TGF-β) facilitate repair, neurogenesis, and immune regulation in later phases. The balance between these pathways determines outcomes and is reflected in circulating biomarkers. Composite hematological indices including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) offer accessible and cost-effective prognostic tools. Several biomarkers correlate with infarct size, neurological deterioration, and mortality, and may predict complications like hemorrhagic transformation or infection. Therapeutic strategies targeting cytokines, especially IL-1 and IL-6, have shown promise in modulating inflammation and improving outcomes. Future directions include personalized immune profiling, real-time cytokine monitoring, and combining immunotherapy with neurorestorative approaches. By integrating immune biomarkers into stroke care, clinicians may enhance risk stratification, optimize treatment timing, and identify candidates for novel interventions. This review underscores inflammation’s dual role and evolving therapeutic and prognostic relevance in ischemic stroke. Full article

(1) Background: Acute variceal bleeding (AVB) represents an important cause of upper gastrointestinal bleeding (UGIB). Several prognostic scores may be useful for assessing mortality and rebleeding risk, with the Glasgow-Blatchford score (GBS) and Rockall score being the most commonly used for non-variceal bleeding. Scores assessing liver failure (MELD and Child) do not reflect bleeding severity. The neutrophil-to-lymphocyte ratio (NLR) increases in UGIB and can predict survival and rebleeding. (2) Methods: We analyzed the predictive role of NLR, GBS, Rockall, AIMS65, Child, and MELD for mortality (48 h, 5-day, in-hospital, and 6-week) and rebleeding in AVB patients admitted to our hospital from 2017 to 2021. ROC analysis was performed, and a multivariate analysis with logistic regression was used to construct a simplified model. (3) Results: A total of 415 patients were admitted. NLR exhibited fair accuracy for 48-h mortality (AUC 0.718, 95% CI 0.597–0.839, p < 0.0001), with limited predictive value for medium-term mortality. The NLR accuracy was better than that of the GBS and Rockall score, similar to that of the AIMS65 and Child scores, but inferior to that of MELD. The value for all scores in predicting rebleeding was poor, with the highest AUC for the NLR. (4) Conclusions: The NLR exhibited reasonable accuracy in predicting short-term mortality in AVB. Our model (including NLR, age, creatinine, bilirubin, albumin, INR, platelet count, HCC, and etiology) demonstrated 80.72% accuracy in predicting 6-week mortality. Full article

Background/Objectives: Increased blood pressure variability (BPV) was found in adults with primary (essential) hypertension (PH) and is associated with increased cardiovascular risk. Our study aimed to analyze the relation between BPV and low-grade inflammation in children with primary hypertension. Methods: In 56 treatment-naive pediatric patients with PH (15.1 ± 2.1 years) and 30 healthy children (14.9 ± 1.4 years), we evaluated BPV: BP dipping, standard deviation (SD) of ambulatory blood pressure measurements (ABPMs), pulse pressure (PP)/systolic blood pressure ratio (24 h PP/SBP), rate–pressure index (24 h RPI), 24-h weighted BPV (24 h WSBPV, 24 h WDBV, 24 h WMAPV), coefficient of variation (24 h CoVSBP, 24 h CoVDBP, 24 h CoVMAP), ambulatory arterial stiffness index (AASI), and morning BP surge. We also analyzed indices of subclinical inflammation (markers derived from complete blood count, high-sensitivity C-reactive protein (CRP), interleukin 18), and office and ambulatory BP. Results: Patients with PH had significantly higher hsCRP, neutrophils, monocytes, and platelets, neutrophil-to-lymphocyte (NLR), platelet-to-mean platelet volume (PMPVR), and lower monocyte-to-neutrophil (MNR) ratios, and higher BPV: 24 h ABPM SBP SD, 24 h ABPM MAP SD, 24 h RPI, 24 h WSBPV, 24 h WDBV, 24 h WMAPV, and 24 h CoVSBP. Low-grade inflammation markers correlated with BPV indices in both groups. In multivariate analysis, MNR predicted 24 h ABPM MAP SD (beta = 0.290, 95CI: 0.029–0.551), 24 h RPI (beta = −0.348, 95CI: −0.587–−0.108), and 24 h WDBPV (beta = 0.286, 95CI: 0.032–0.540); monocyte count—24 h RPI (beta = 0.281, 95CI: 0.041–0.521), and hsCRP—24 h WDBV (beta = 0.310, 95CI: 0.055–0.564). ROC analysis revealed a good diagnostic profile for lymphocyte count as a positive determinant of non-dipping status in PH children (cut-off point 2.59 [×10³/µL]). Conclusions: BPV is higher in children with PH compared to healthy peers and is associated with low-grade inflammation. MNR may be the most helpful indicator of BPV, whereas high lymphocyte count predicts the best non-dipping status in these patients. Full article

Background/Objectives: Tumor-associated inflammation plays a crucial role in supporting tumorigenesis and the progression of oncological diseases. This study aimed to evaluate whether systemic inflammatory indices are associated with overall survival (OS) in patients with hepatocellular carcinoma (HCC) undergoing surgery. Methods: A retrospective cohort study was conducted on consecutive patients with HCC who underwent hepatic resection. Data were prospectively collected and retrospectively reviewed. The 5-year OS rate was used as the primary endpoint to stratify the values of inflammatory indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), aspartate aminotransferase-to-neutrophil ratio index (ANRI), fibrinogen-to-albumin ratio (Fib-Alb), the systemic immune-inflammation index (SII), prognostic nutritional index (PNI), and aspartate aminotransferase-to-platelet ratio index (APRI), through receiver operating characteristic (ROC) curve analysis. The optimal albumin–bilirubin (ALBI) and platelet–ALBI (PALBI) cut-off points from the literature were also applied. Results: Patients included in the study were 153. The 1-, 3-, and 5-year OS rates were 81.7%, 65.2%, and 40.7%, respectively. Univariate Cox proportional hazards analysis showed that, in addition to several patient- and tumor-related characteristics and postoperative complications, elevated values of PLR, ANRI, Fib-Alb, SII, APRI, ALBI, and PALBI, as well as low PNI, were significantly associated with poorer overall survival (OS). Among these, only APRI and PNI emerged as independent prognostic factors in the multivariate analysis. Conclusions: PNI and APRI could serve as valuable inflammatory indices for predicting OS, helping to identify HCC patients who might benefit from hepatic resection. However, further prospective studies with larger cohorts are needed to validate the prognostic role of PNI and APRI. Full article

Background and Objectives: Chronic low-grade inflammation plays a key role in the pathogenesis of type 2 diabetes mellitus (T2DM) and its vascular complications. Hematological indices derived from routine blood counts, such as neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI), have been proposed as surrogate markers for systemic inflammation and predictors of cardiovascular risk. This study aimed to evaluate the predictive value of these inflammatory indices concerning the presence of micro- and macrovascular complications and cardiovascular mortality in patients with type 2 diabetes mellitus. Materials and Methods: We conducted a retrospective cohort study including 237 patients with T2DM. We assessed the association between hematological indices and cardiovascular mortality, followed by a ROC curve analysis to evaluate their predictive performance, and a multiple logistic regression. Results: Thirty patients (12.66%) died during the study period. ROC analysis showed that SIRI (AUC = 0.680 [95% CI 0.576–0.779]), LMR (AUC = 0.667 [95% CI 0.564–0.763]), AISI (AUC = 0.662 [95% CI 0.553–0.768]), and NLR (AUC = 0.657 [95% CI 0.545–0.764]) had the best discriminative capacity, all with specificity >70%. The relation remained significant even after adjustments for confounding variables in multiple logistic regression. For microvascular complications, Monocyte count (AUC = 0.611 [95% CI 0.532–0.69]) and LMR (AUC = 0.608 [95% CI 0.521–0.695]) showed minimal but notable predictive value. Conclusions: SIRI, LMR, AISI, and NLR were significantly associated with mortality and demonstrated modest discriminative ability. These markers, accessible and cost-effective, may be useful tools for risk stratification in T2DM patients. Further validation in prospective cohorts is warranted. Full article

Background: Simple and cost-effective biochemical markers are still very useful for predicting severity and mortality in COVID-19 patients. This study investigates the association of some inflammatory and also non-invasive biochemical indices of liver function and critical care outcomes of COVID-19 patients. Methods: In this cross-sectional study, a total of 2232 hospitalized COVID-19 patients, regardless of the presence of underlying liver diseases, were followed. Based on the laboratory results at the time of admission, five indices—FIB-4 (Fibrosis-4), NLR (Neutrophil to Lymphocyte Ratio), APRI (Aspartate Aminotransferase to Platelet Ratio), ALRI (Aspartate Aminotransferase to Lymphocyte Ratio), and SII (Systemic Immune-Inflammation)—were calculated. Results: According to the results of multivariate regression, all five indices were predictors of mortality and severity in COVID-19 patients after adjusting for age, sex, comorbidities and BMI. The odds ratios for FIB-4, NLR, APRI, ALRI, and SII to predict mortality were 1.14 (1.07–1.21), 1.07 (1.04–1.1), 1.28 (1.12–1.46), 2.44 (1.76–3.38), and 1.57 (1.13–2.17), respectively. For predicting severity, the odds ratios were 1.22 (1.15–1.30), 1.09 (1.06–1.11), 1.78 (1.44–2.21), 1.73 (1.41–2.14), and 1.27 (1.04–1.57), respectively. Additionally, based on the AUC results, FIB-4 and NLR indices demonstrated the best performance in predicting COVID-19 mortality and severity, respectively. Conclusions: Our results show that the non-invasive biochemical indices of liver function, NLR, and SII can be useful as early predictors of severity and mortality in COVID-19 patients. Full article

Background/Objectives: The TOPAZ-1 phase III trial reported a survival benefit of using durvalumab, an anti-programmed death ligand 1 (anti-PD-L1) antibody, in combination with gemcitabine and cisplatin (GCD) treatment in patients with advanced biliary tract cancer. This retrospective study investigated the efficacy and safety of GCD treatment for advanced biliary tract cancer in real-world conditions. Methods: The study subjects were 52 patients with biliary tract cancer who received GCD therapy between January 2023 and May 2024. The observation parameters included the modified Glasgow Prognostic Score (mGPS), neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), tumor markers (CEA, CA19-9), overall response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), and adverse events. Results: The cohort included 36 men and 16 women, with a median age of 73.0 years. There were 36 cases of cholangiocarcinoma (distal: 10, perihilar: 19, intrahepatic: 7), 13 cases of gallbladder cancer, and 3 cases of ampullary carcinoma. The stages were locally advanced in 30 cases and metastatic in 22 cases. Biliary drainage was performed in 30 cases. There were 38 cases receiving first-line therapy and 14 cases receiving second-line or later treatments. The median values at the start of GCD therapy were ALB 3.7 g/dL, CRP 0.39 mg/dL, NLR 2.4, PLR 162.5, CEA 4.8 ng/mL, and CA19-9 255.9 U/mL. The mGPS distribution was 0:23 cases, 1:18 cases, and 2:11 cases. The treatment outcomes were ORR 25.0% (CR 2 cases, PR 11 cases), DCR 78.8% (SD 28 cases, PD 10 cases, NE 1 case), median PFS 8.6 months, and median OS 13.9 months. The PLR was suggested to be useful for predicting PFS. A decrease in CEA at six weeks after the start of treatment was a significant predictor of PFS and OS. Gallbladder cancer had a significantly poorer prognosis compared to other cancers. The immune-related adverse events included hypothyroidism in two cases, cholangitis in one case, and colitis in one case. Conclusions: The ORR, DCR, and PFS were comparable to those in the TOPAZ-1 trial. Although limited by its retrospective design and small sample size, this study suggests that GCD therapy is an effective treatment regimen for unresectable biliary tract cancer in real-world clinical practice. Full article

Background/Objectives: Inflammation-based markers have emerged as potential prognostic tools in hepatocellular carcinoma (HCC), but comparative data with classical prognostic factors in untreated HCC are limited. This study aimed to evaluate and compare the prognostic performance of inflammatory and conventional markers using Harrell’s concordance index (C-index). Methods: This retrospective study included 250 patients with untreated HCC. Prognostic variables included age, BCLC stage, Child–Pugh classification, Milan criteria, MELD score, AFP, albumin, Charlson comorbidity index, and the inflammation-based markers neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), Systemic Inflammation Response Index (SIRI), and Systemic Immune-inflammation Index (SIII). Survival was analyzed using Cox regression. Predictive performance was assessed using the C-index, Akaike Information Criterion (AIC), and likelihood ratio tests. Results: Among the classical markers, BCLC showed the highest predictive performance (C-index: 0.717), while NLR ranked highest among the inflammatory markers (C-index: 0.640), above the MELD score and Milan criteria. In multivariate analysis, NLR ≥ 2.3 remained an independent predictor of overall survival (HR: 1.787; 95% CI: 1.264–2.527; p < 0.001), along with BCLC stage, albumin, Charlson index, and Milan criteria. Including NLR in the model modestly improved the C-index (from 0.781 to 0.794) but significantly improved model fit (Δ–2LL = 10.75; p = 0.001; lower AIC). Conclusions: NLR is an accessible, cost-effective, and independent prognostic marker for overall survival in untreated HCC. It shows discriminative power comparable to or greater than most conventional predictors and may complement classical stratification tools for HCC. Full article

Background and Objectives: Clostridioides difficile infection (CDI) poses a major public health problem worldwide. Materials and Methods: In this retrospective study, we included 274 patients with CDI, who were hospitalized in Internal Medicine Departments in Evangelismos General Hospital in Athens, Greece, during the past decade. Demographic, clinical and laboratory parameters of the patients were recorded. Statistical analysis revealed an association between older age and mortality as well as heart failure and mortality among patients with CDI. Results: Notably, WBC (white blood count), neutrophils, NLR (neutrophil-to-lymphocyte ratio), dNLR (derived NLR), SII (systemic immune–inflammation index) and hs-CRP (high-sensitivity C-reactive protein) demonstrated a positive association with mortality, whereas serum albumin levels and PNR (platelet-to-neutrophil ratio) exhibited an inverse relationship with mortality. We propose that the aforementioned biomarkers may be used as prognostic parameters regarding mortality from CDI. Conclusions: Large scale studies among patients with CDI with the advent of AI (artificial intelligence) may incorporate demographic, clinical and laboratory features into prognostic scores to further characterize the global CDI threat. Full article