Search Results (318)

Ulcerative colitis (UC) is a chronic inflammatory bowel disease driven by immune dysregulation, microbiota imbalance, and intestinal barrier dysfunction. Despite its global burden, effective therapies remain limited. This study explores the therapeutic potential of Agrocybe cylindracea polysaccharides (ACP) in a dextran sulfate sodium (DSS)-induced murine colitis model. High-performance liquid chromatography (HPLC)-characterized ACP was administered orally to BALB/c mice following colitis induction. ACP treatment significantly reduced Disease Activity Index (DAI) scores, preserved colon length, and restored intestinal barrier integrity by upregulating tight junction proteins. Mechanistically, ACP modulated immune homeostasis, suppressing pro-inflammatory cytokines (IL-17, IL-23, CRP) while enhancing anti-inflammatory mediators (IL-4, TGF-β). Furthermore, ACP inhibited hepatic TLR4/MyD88/NF-κB signaling, attenuated systemic inflammation, and reshaped gut microbiota composition by enriching beneficial taxa and reducing pathogenic Bacteroides. These findings demonstrate ACP multi-target efficacy in colitis, positioning it as a promising natural therapeutic for UC. Full article

Background: Systemic inflammatory markers have emerged as accessible and reproducible tools for oncologic risk stratification, yet their prognostic value in rectal cancer remains incompletely defined, particularly in acute surgical settings. This study aimed to assess six inflammation-based indices—NLR, PLR, MLR, SII, SIRI, and AISI—in relation to tumor stage, recurrence, and outcomes among patients undergoing emergency versus elective resection for rectal cancer. Methods: We retrospectively evaluated 174 patients treated between 2018 and 2024. Pre-treatment blood counts were used to calculate inflammatory indices. Clinical and pathological parameters were correlated with biomarker levels using univariate and multivariate analyses. Results: Pre-treatment inflammation markers were significantly elevated in patients requiring emergency surgery (e.g., NLR: 3.34 vs. 2.4, p = 0.001; PLR: 204.1 vs. 137.8, p < 0.001; SII: 1008 vs. 693, p = 0.007), reflecting advanced tumor biology and immune activation. Notably, these patients also had higher rates of stage IV disease (p = 0.029) and permanent stoma (p = 0.002). Post-treatment, recurrence was paradoxically associated with significantly lower levels of SII (p = 0.021), AISI (p = 0.036), and PLR (p = 0.003), suggesting a potential role for immune exhaustion rather than hyperinflammation in early relapse. Conclusions: Inflammatory indices provide valuable insights into both tumor local invasion and host immune status in rectal cancer. Their integration into perioperative assessment could improve prognostication, particularly in emergency presentations. Post-treatment suppression of these markers may identify patients at high risk for recurrence despite initial curative intent. Full article

Objective: Tumor progression is regulated by systemic immune status, nutritional metabolism, and the inflammatory microenvironment. This study aims to investigate inflammatory–nutritional biomarkers associated with metachronous liver metastasis (MLM) in colorectal cancer (CRC) and develop a machine learning model for accurate prediction. Methods: This study enrolled 680 patients with CRC who underwent curative resection, randomly allocated into a training set (n = 477) and a validation set (n = 203) in a 7:3 ratio. Feature selection was performed using Boruta and Lasso algorithms, identifying nine core prognostic factors through variable intersection. Seven machine learning (ML) models were constructed using the training set, with the optimal predictive model selected based on comprehensive evaluation metrics. An interactive visualization tool was developed to interpret the dynamic impact of key features on individual predictions. The partial dependence plots (PDPs) revealed a potential dose–response relationship between inflammatory–nutritional markers and MLM risk. Results: Among 680 patients with CRC, the cumulative incidence of MLM at 6 months postoperatively was 39.1%. Multimodal feature selection identified nine key predictors, including the N stage, vascular invasion, carcinoembryonic antigen (CEA), systemic immune–inflammation index (SII), albumin–bilirubin index (ALBI), differentiation grade, prognostic nutritional index (PNI), fatty liver, and T stage. The gradient boosting machine (GBM) demonstrated the best overall performance (AUROC: 0.916, sensitivity: 0.772, specificity: 0.871). The generalized additive model (GAM)-fitted SHAP analysis established, for the first time, risk thresholds for four continuous variables (CEA > 8.14 μg/L, PNI < 44.46, SII > 856.36, ALBI > −2.67), confirming their significant association with MLM development. Conclusions: This study developed a GBM model incorporating inflammatory-nutritional biomarkers and clinical features to accurately predict MLM in colorectal cancer. Integrated with dynamic visualization tools, the model enables real-time risk stratification via a freely accessible web calculator, guiding individualized surveillance planning and optimizing clinical decision-making for precision postoperative care. Full article

Background and Objectives: Blood-borne inflammatory ratios have been proposed as inexpensive prognostic tools across a range of diseases, but their role in pulmonary tuberculosis (TB) remains uncertain. In this retrospective case–control analysis, we explored whether composite indices derived from routine haematology—namely the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), the systemic immune–inflammation index (SII) and a novel CRP–Fibrinogen Index (CFI)—could enhance risk stratification beyond established cytokine measurements among Romanian adults with culture-confirmed pulmonary T. Materials and Methods: Data were drawn from 80 consecutive TB in-patients and 50 community controls. Full blood counts, C-reactive protein, fibrinogen, and four multiplex cytokines were extracted from electronic records, and composite indices were calculated according to standard formulas. The primary outcomes were in-hospital mortality within 90 days and length of stay (LOS). Results: Among TB patients, the median NLR was 3.70 (IQR 2.54–6.14), PLR was 200 (140–277) and SII was 1.36 × 10⁶ µL⁻¹ (0.74–2.34 × 10⁶), compared with 1.8 (1.4–2.3), 117 (95–140) and 0.46 × 10⁶ µL⁻¹ (0.30–0.60 × 10⁶) in controls. Those with SII above the cohort median exhibited more pronounced acute-phase responses (median CRP 96 vs. 12 mg L⁻¹; fibrinogen 578 vs. 458 mg dL⁻¹), yet median LOS remained virtually identical (29 vs. 28 days) and early mortality was low in both groups (8% vs. 2%). The CFI showed no clear gradient in hospital stay across its quartiles, and composite ratios—while tightly inter-correlated—demonstrated only minimal association with cytokine levels and LOS. Conclusions: Composite cell-count indices were markedly elevated but did not predict early death or prolonged admission. In low-event European cohorts, their chief value may lie in serving as cost-free gatekeepers, flagging those who should proceed to more advanced cytokine or genomic testing. Although routine reporting of NLR and SII may support low-cost surveillance, validation in larger, multicentre cohorts with serial sampling is needed before these indices can be integrated into clinical decision-making. Full article

Background/Objectives: Anorexia nervosa (AN) is a chronic eating disorder with the highest mortality rate among psychiatric conditions. Malnutrition and starvation lead to long-term impairments in metabolic processes, hormonal regulation, and immune function, offering potential diagnostic and prognostic value. This study aimed to identify immune–metabolic–hormonal markers associated with treatment response and nutritional rehabilitation. Methods: Fifty hospitalized female patients with AN were included. Anthropometric measurements and venous blood samples were collected at admission and discharge, following partial nutritional recovery. Blood analyses included complete blood count, serum levels of total cholesterol, LDL and HDL, triglycerides, glucose, NT-pro-BNP, TSH, free thyroxine (fT4), sodium, chloride, potassium, calcium, iron, and vitamin D. Composite immune-inflammatory indices calculated were neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR), platelet-to-lymphocyte (PLR); neutrophil-to-high-density lipoprotein (NHR), monocyte-to-high-density lipoprotein (MHR), platelet-to-high-density lipoprotein (PHR) and lymphocyte-to-high-density lipoprotein (LHR) ratios; systemic immune-inflammation (SII), and systemic inflammation response (SIRI) indexes. Results: Responders (R) and non-responders (NR) differed significantly at baseline in levels of sodium, chloride, fT4, monocyte count, MCV, NLR, MLR, SII, and SIRI (all: R < NR; p < 0.05). Predictive ability for treatment response was confirmed by AUC values (95%CI): sodium = 0.791 (0.622–0.960), chloride = 0.820 (0.690–0.950), fT4 = 0.781 (0.591–0.972), monocytes = 0.785 (0.643–0.927), MCV = 0.721 (0.549–0.892), NLR = 0.745 (0.578–0.913), MLR = 0.785 (0.643–0.927), SII = 0.736 (0.562–0.911), SIRI = 0.803 (0.671–0.935). The lower levels of inflammation and chloride are particularly predictive of better nutritional recovery, accounting for 26% of the variability in treatment response. Conclusions: The study demonstrated important insights into the hematological, metabolic, hormonal, and immune-inflammatory mechanisms associated with nutritional recovery in AN. Full article

Background/Objectives: Primary hyperparathyroidism (PHPT) has been associated with systemic inflammation and metabolic disturbances. This study aimed to evaluate changes in the Systemic Immune-Inflammation Index (SII) and Prognostic Nutritional Index (PNI) following parathyroidectomy (PTX) in PHPT patients, and to assess their return toward healthy control values. Materials and Methods: This retrospective study was conducted between January 2010 and March 2022. It analyzed the demographic characteristics, clinical findings, and laboratory results of patients diagnosed with and operated for PHPT, with comparisons to healthy controls. Postoperative values were recorded at least six months after surgery. Bone mineral density was classified according to World Health Organization criteria, and nephrolithiasis was assessed with imaging. Results: After applying exclusion criteria, 415 PHPT patients and 410 controls were included. PHPT patients were older (p < 0.001) and had a higher proportion of females (p = 0.016). Compared to controls, they had lower phosphorus, albumin, high-density lipoprotein cholesterol, total cholesterol, hemoglobin, and PNI (p < 0.001 for all), while triglycerides, monocytes, platelets, CRP, and SII were higher (p < 0.05). Postoperatively, albumin, platelets, total cholesterol, and triglycerides increased (p < 0.001), while calcium, white blood cell count, neutrophils, lymphocytes, and CRP decreased (p < 0.05), approaching healthy control values. In age- and sex-matched comparisons (propensity score matching, n = 259 in each group), platelets (p = 0.002) and hemoglobin (p = 0.018) were found to be higher postoperatively. Conclusions: Preoperative SII and PNI levels were significantly altered in PHPT patients compared to healthy controls. Following PTX, both of these markers and other parameters showed significant improvements, reflecting positive changes in systemic inflammation and nutritional status. Full article

Background/Objectives: Tumor-infiltrating lymphocytes (TILs) and inflammation status are emerging prognostic markers in various cancers, but their significance in high-grade serous ovarian carcinoma (HGSC) remains unclear. Our objective was to evaluate different TIL subtypes and inflammation status in relation to progression-free survival (PFS) in primary HGSC. Methods: CD3⁺/CD4⁺/CD8⁺/PD-1+ stromal TILs (sTILs) and intraepithelial TILs (iTILs) were evaluated by manual assessment and digital image analysis (DIA), following TIL Working Group recommendations. Inflammation status was evaluated through the following scores: systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), CA125, and lactate dehydrogenase (LDH). Results: CD8⁺ TILs were the most prevalent subtype in both iTILs and sTILs. However, sTILs were significantly more abundant than iTILs (p < 0.001) among all subsets, except for PD-1+ cells. DIA results of TIL assessments were in agreement with manual assessments. High stromal CD3⁺ and CD8⁺ TILs, PIV, CA125, and LDH, were associated with improved PFS. Potential independent prognostic factors for PFS in manual assessment were PIV (HR = 0.32, CI 95% = 0.12–0.82) and CD8⁺ sTILs (HR = 0.30, CI 95% = 0.12–0.79), whereas in DIA assessment they were CD3⁺ sTILs (HR = 0.31, CI 95% = 0.15–0.67), PIV (HR = 0.35, 95% CI 0.13–0.96), and residual disease (HR = 0.21 95% CI 0.08–0.53). Conclusions: CD3⁺/CD8⁺ sTILs and PIV are promising prognostic indicators in HGSC; however, further research is needed to confirm their clinical utility. Full article

Background/Objectives: Nonvalvular atrial fibrillation (NVAF) is a prevalent arrhythmia associated with elevated risks of stroke, systemic embolism, and mortality. Emerging evidence underscores the pivotal role of inflammation in NVAF pathogenesis. The CHA₂DS₂-VA score is currently the most powerful tool used in the management of patients with atrial fibrillation, and integrating novel inflammatory biomarkers—neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI)—into this score may enhance prognostic accuracy and guide personalized therapy. Methods: In this observational case–control study, a cohort of 330 NVAF patients and 201 controls, inflammatory and biochemical parameters were measured and compared, we employed multivariate logistic regression and ROC analyses to validate the discriminative power of novel inflammatory indexes and novel CHA₂DS₂-VA score, setting a new benchmark for biomarker integration in NVAF management. Results: Inflammatory indexes (NLR, PLR, SII, SIRI) were significantly higher in NVAF patients compared to controls (p < 0.001). Multivariate analysis identified NLR (OR = 4.02), PLR (OR = 1.04), SII (OR = 1.01), and SIRI (OR = 1.87) as independent NVAF risk markers. The CHA₂DS₂-VA score showed the strongest association with NVAF (OR = 5.55), and an optimal cutoff of ≥2 yielded 88.18% sensitivity and 74.63% specificity. Conclusions: Inflammatory markers NLR, PLR, SII, and SIRI, when assessed alongside the CHA₂DS₂-VA score, offer significant and complementary prognostic insight for patients with NVAF. These findings support the integration of inflammatory indexes into routine clinical risk assessment models to enhance early identification of high-risk individuals and inform personalized therapeutic strategies. Moreover, our findings provide a rationale for developing composite risk scores in future studies that integrate inflammatory biomarkers with the CHA₂DS₂-VA score (e.g., a CHA₂DS₂-VA-Inflammation Score). Further large-scale, longitudinal studies are warranted to validate these results and explore the benefits of inflammation-targeted interventions. Full article

Background/Objectives: Given the increasing interest in the predictive role of inflammation in oncology, we aimed to assess the association between inflammatory factors (IFs) and the histopathological characteristics of bladder cancer (BC). Our objective was to correlate some of these IFs with BC progression and recurrence, identifying possible new diagnostic tools. Methods: We retrospectively analyzed 285 patients (79.8% male, 20.4% female; median age 73) who underwent transurethral resection of the bladder (TURB) between January 2016 and January 2022. The preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), systemic inflammation response index (SIRI), and standard clinical variables were collected one month before TURB and evaluated as predictors of recurrence and progression. Patients were stratified using the Youden Index and ROC analysis. Cox regression models were applied to identify independent predictors. Results: High-grade tumors were present in 74.6% of cases, and 34% were recurrent. Carcinoma in situ was found in 5%. After 72 months, 53% underwent radical cystectomy, and 13.7% died within 5 years. The optimal cutoffs were PLR 139, SIRI 1.12, PIV 248.49, NLR 2, SII 327. Smoking, primary MIBC, age, and lymph node status were significantly associated with recurrence. Elevated PLR correlated with recurrence and T2 progression (p = 0.004). Higher SIRI, PIV, and PLR levels were significantly associated with lymphovascular invasion and nodal metastasis (p < 0.05). PLR was linked to recurrence in tumors ≥ 3 cm post-BCG (p = 0.004); high SIRI predicted recurrence within 48 months (p = 0.05). Conclusions: High PLR and SIRI levels were associated with recurrence. Our findings support the emerging role of IFs in predicting BC outcomes and suggest their potential inclusion in future prognostic models. Full article

Background and Objectives: Breast cancer remains a significant global health burden, demanding continuous innovation in diagnostic and prognostic tools. This meta-analysis and systematic review aims to synthesize evidence from 2015 to 2025 regarding the diagnostic utility of artificial intelligence (AI) in mammography and the prognostic value of the Systemic Immune-Inflammation Index (SII) in breast cancer patients. Materials and Methods: A systematic literature search was conducted in PubMed, Google Scholar, EMBASE, Web of Science, and Scopus. Studies evaluating AI performance in mammographic breast cancer detection and those assessing the prognostic significance of SII (based on routine hematologic parameters) were included. The risk of bias was assessed using QUADAS-2 and the Newcastle–Ottawa Scale. Meta-analyses were conducted using bivariate and random-effects models, with subgroup analyses by clinical and methodological variables. Results: Twelve studies were included, five assessing AI and seven assessing SII. AI demonstrated high diagnostic accuracy, frequently matching or surpassing that of human radiologists, with AUCs of up to 0.93 and notable reductions in radiologist reading times (17–91%). Particularly in dense breast tissue, AI improved detection rates and workflow efficiency. SII was significantly associated with poorer outcomes, including reduced overall survival (HR ~1.97) and disease-free survival (HR ~2.07). However, variability in optimal cut-off values for SII limits its immediate clinical standardization. Conclusions: AI enhances diagnostic precision and operational efficiency in mammographic screening, while SII offers a cost-effective prognostic biomarker for systemic inflammation in breast cancer. Their integration holds promise for more personalized care. Nevertheless, challenges persist regarding prospective validation, standardization, and equitable access, which must be addressed through future translational research. Full article

Background: Coronary artery disease (CAD) is a leading global cause of mortality. The role of calcium (Ca), a key metabolic and structural element, in atherosclerosis and inflammation remains unclear. Ca influences immune cell function and is a component of atherosclerotic plaques. Hair analysis reflects long-term mineral exposure and may serve as a non-invasive biomarker. Objectives: This pilot study aimed to investigate the association between hair Ca levels and acute coronary syndrome (ACS), and to evaluate correlations with the Systemic Inflammatory Index (SII), Systemic Inflammatory Response Index (SIRI), and selected CAD risk factors. Methods: Ca levels were measured in hair samples from patients undergoing coronary angiography for suspected myocardial infarction. Associations with ACS diagnosis, Syntax score, SII, SIRI, and CVD risk factors were analyzed. Results: Serum calcium levels were not significantly associated with the presence of acute coronary syndrome (ACS) (p = 0.392) or with its clinical subtypes, including ST-elevation myocardial infarction (STEMI), non-ST-elevation myocardial infarction (NSTEMI), and unstable angina (UA) (p = 0.225). Diagnosis of ACS was linked to higher SII (p = 0.028) but not SIRI (p = 0.779). Ca levels correlated negatively with Syntax score (R = −0.19, p = 0.035) and SII (R = −0.22, p = 0.021) and positively with HDL-C (R = 0.18, p = 0.046). Conclusions: Hair calcium content may reflect subclinical inflammation and CAD severity. Although no direct link to ACS was observed, the associations with SII, HDL-C, and Syntax score suggest a potential diagnostic role which should be further explored in larger, well-controlled studies. Full article

Background and Objectives: Despite developments in cervical cancer (CC) treatment, an advanced stage is a poor prognostic factor. Cervical cancer is an immunogenic tumor in which viruses, like HPV, play a role in carcinogenesis. Therefore, systemic inflammatory markers (SIMs) may have prognostic value. Most studies on SIMs focus on the early stage by evaluating pretreatment levels. This study aims to evaluate the prognostic and predictive values of both pretreatment and post-treatment parameters at the advanced stage, as well as treatment efficacy after progression with first-line treatment. Materials and Methods: A total of 133 advanced-stage CC patients with progression on first-line platin–paclitaxel and bevacizumab were evaluated retrospectively. Demographic and histopathological characteristics were recorded along with treatment details. Pre-treatment baseline blood parameters and post-treatment follow-up values were recorded to calculate SIMs as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammatory response index (SIRI). Results: Median values for SIMs were accepted as cut-off values. Post-treatment values demonstrated stronger predictive power, with pre-treatment SIRI and NLR being significant only in univariate analysis, but not in multivariate analysis. High post-treatment SIRI (>2.1) was correlated with shorter overall survival (OS) and considered a poor prognostic factor. High post-treatment SIRI (>2.1), -SII (>746), and -PLR (>197) emerged as independent prognostic factors for progression-free survival (PFS). Their prognostic values were clearer in the whole population and the metachronous metastatic subgroup. Rechallenge of platinum-based chemotherapy was an option for those who had at least 6 months of PFS with first-line platinum-based chemotherapy. Bevacizumab addition to single-agent or combination regimens led to improved ORR as well. Conclusions: Post-treatment SIRI is a promising prognostic factor for OS, while post-treatment SIRI, SII, and PLR may serve as convenient SIMs for PFS. Platinum-based combination chemotherapy reinduction is a feasible second-line treatment strategy, especially with the addition of bevacizumab. Full article

Background: Myocardial infarction complicated by cardiogenic shock (MI-CS) remains a critical condition with high mortality rates, despite advances in treatment. Systemic inflammation plays a significant role in MI-CS progression; however, its dynamics across different stages of the Society for Cardiovascular Angiography and Interventions (SCAI) classification remain poorly understood. This study aimed to evaluate indices of systemic inflammation—neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI)—in MI-CS patients, correlating them with SCAI stages and survival outcomes. Methods: A single-center retrospective study included 132 patients with MI-CS, categorized into SCAI stages A–E. All patients were assessed for demographic, clinical, and laboratory data, procedural and treatment characteristics, MI timing, and outcomes. Complete blood count test data were used to calculate inflammatory indices and evaluate types of immune reactions. Results: PLR, SII, and AISI peaked at SCAI stage C and declined significantly at stage E, suggesting suppressed inflammation in advanced shock. SIRI emerged as a key prognostic marker for stage C patients, with elevated levels associated with larger infarct size, higher heart rate, and predominant innate immune activation. Patients with SIRI ≥ 3.34 had significantly lower two-year survival (log-rank test, p = 0.006). Conclusions: Inflammation indices, particularly SIRI, provide valuable prognostic insights in MI-CS, reflecting disease severity and heterogeneity of immune response. The decline in inflammatory indices at SCAI stage E may indicate immune suppression in extreme MI-CS, underscoring the need for personalized therapeutic strategies. Full article

The sarcopenic obesity-related phenotype (SOP) is defined by the coexistence of sarcopenia and obesity, leading to heightened disability, morbidity, and mortality. Its multifactorial pathogenesis involves chronic inflammation and metabolic alterations. In this cross-sectional study, 562 women were classified into four groups: control, sarcopenic, obese, and SOP. Body composition measurements, including fat mass, skeletal muscle mass, and extracellular water (ECW), were assessed using the bioimpedance method. Several inflammatory biomarkers were measured in plasma samples by ELISA. Discriminant function analysis identified age, ECW, chemerin, the systemic immune-inflammation index (SII), and the ratio of total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C) as significant discriminators among groups, clearly distinguishing SOP from control. Multivariable logistic regression analysis revealed that these variables were independently associated with SOP status (SOP vs. control), regardless of age, with odds ratios (ORs) ranging from 1.87 (95% confidence interval [CI]: 1.23–2.85) for SII to 7.77 (95% CI: 3.67–16.44) for ECW. A generalized estimating equation (GEE) analysis further demonstrated that SOP significantly increased the odds (OR: 3.04; 95% CI: 1.39–6.67) of multimorbidity (hypertension (HTN) + hyperlipidemia (HLD) + type 2 diabetes (D2T)). These findings suggest SOP is a clinically relevant phenotype linked to cardiometabolic comorbidities and systemic inflammation. Identifying SOP using accessible body composition and biomarker assessments may support early risk stratification and guide personalized preventive strategies in clinical care. Full article

Objective: This study aimed to evaluate the prognostic utility of systemic inflammatory markers, such as the Systemic Immune-Inflammation Index (SII), Systemic Inflammatory Response Index (SIRI), Neutrophil–Lymphocyte Ratio (NLR), Monocyte–Lymphocyte Ratio (MLR), and Platelet–Lymphocyte Ratio (PLR), to identify patients at risk of developing surgically treated postpericardiotomy syndrome (PPS). Methods: A total of 150 patients were retrospectively analyzed. In total, 75 patients who developed postpericardiotomy syndrome requiring surgical drainage constituted the postpericardiotomy group, whereas 75 age- and surgically matched non-PPS patients served as the control group. Blood samples were collected at four time points: preoperative (T1), 24 h postoperative (T2), 7 days postoperative (T3), and 24 h before secondary intervention in the PPS group and the closest matched outpatient follow-up (T4) in the control group. Inflammatory marker values were compared within and between the groups at the four defined time points. Logistic regression and receiver operating characteristic (ROC) analyses were used to determine the diagnostic and predictive accuracy of each marker. Results: Significant increases in the SIRI, MLR, and CRP levels were observed in patients who developed PPS and required surgical intervention. MLR on postoperative day 7 had the highest sensitivity (84%) with a cut-off of 0.575, whereas SIRI demonstrated the highest specificity (81.3%) at a cut-off of 3.34. SII increased significantly only in the late stage, indicating disease progression. The NLR lacked predictive power across all time points. Conclusions: The SIRI and MLR are promising early-stage biomarkers for identifying patients at high risk of developing PPS. Their integration into routine postoperative follow-up could facilitate earlier diagnosis and reduce surgical burden. A multi-marker approach may enhance the diagnostic precision of PPS beyond that of traditional inflammatory measures. Full article