Search Results (421)

Blood culture is the diagnostic gold standard for bacteremia in the emergency department (ED), but its turnaround time can delay appropriate antimicrobial therapy, highlighting the need for rapid, accessible biomarkers. We retrospectively analyzed adult ED patients from July 2023 to June 2024 who underwent blood culture testing and had complete data for monocyte distribution width (MDW), white blood cell count (WBC), C-reactive protein (CRP), and neutrophil-to-lymphocyte ratio (NLR). Discrimination was assessed using area under the receiver operating characteristic curve (AUROC) and diagnostic accuracy using sensitivity, specificity, and diagnostic odds ratio (DOR); combined models were compared with net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Among 19,325 patients, 2011 (10.4%) had positive blood cultures. MDW had the highest AUROC (0.760) versus CRP (0.730), NLR (0.695), and WBC (0.642); at a cut-off of 22, MDW showed 0.72 sensitivity, 0.68 specificity, and DOR 5.46. The best combined model was MDW+NLR (AUROC 0.785; DOR 6.39; NRI 0.428; IDI 0.770). MDW is a rapid and effective marker for identifying bacteremia in the ED, and performance improves when combined with NLR. Full article

Background: The aim of this study was to evaluate the diagnostic and prognostic performance of albumin-based inflammatory–nutritional indices in hyperemesis gravidarum (HG) and to determine their associations with disease severity and risk of re-hospitalization. Methods: This retrospective case–control study included 246 women with HG and 246 gestational-age-matched healthy pregnant controls at 6–16 weeks of gestation. Disease severity was classified as mild, moderate, or severe using the Pregnancy-Unique Quantification of Emesis (24 h scale) (PUQE-24) score. A comprehensive panel of albumin-based inflammatory indices—including C-reactive protein-to-albumin ratio (CAR), fibrinogen-to-albumin ratio (FAR), neutrophil-to-albumin ratio (NAR), leukocyte-to-albumin ratio (LAR), neutrophil percentage-to-albumin ratio (NPAR), monocyte-to-albumin ratio (MAR), hemoglobin–albumin–lymphocyte–platelet (HALP) score, modified HALP (m-HALP) score, prognostic nutritional index (PNI) score, systemic immune-inflammation index-to-albumin (SII/Alb), and systemic inflammatory response index-to-albumin (SIRI/Alb)—was calculated from routine complete blood count and serum biochemistry results obtained at diagnosis. Receiver operating characteristic analysis, along with univariate and multivariate logistic regression models, was performed to evaluate diagnostic performance and identify predictors of severe HG and re-hospitalization. Results: Albumin-based indices exhibited severity-associated alterations, with an overall trend toward worsening immuno-nutritional status across increasing HG severity. Among these, m-HALP score demonstrated the strongest inverse correlations with PUQE-24 score, ketonuria grade, length of hospital stay, and re-hospitalization risk (r = −0.74 to −0.52; all p < 0.001) and achieved the highest discriminative accuracy for both severe HG (AUC 0.864, 95% CI 0.836–0.892, p < 0.001) and re-hospitalization (AUC 0.722, 95% CI 0.675–0.766, p < 0.001). In multivariable analysis, higher HALP, m-HALP, and PNI were independently associated with a lower likelihood of severe HG. For re-hospitalization, higher m-HALP and HALP were independently associated with a lower risk, whereas higher NPAR, higher ketonuria grade, and higher PUQE-24 score were independently associated with an increased risk of re-hospitalization. Conclusions: Albumin-based indices, particularly m-HALP, demonstrated robust diagnostic and prognostic performance in HG compared with conventional biomarkers. These readily available, cost-neutral composite biomarkers enable objective severity stratification and accurate identification of patients at elevated risk of recurrent hospitalization, offering immediate potential to guide personalized, evidence-based clinical management. Full article

Background: Systemic inflammation plays a central role in the pathogenesis and progression of type 2 diabetes mellitus (T2DM). Hematologic inflammatory indices-such as the Systemic Immune-Inflammation Index (SII), Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and Monocyte-to-Lymphocyte Ratio (MLR)-have emerged as accessible markers of chronic inflammation, yet longitudinal comparisons across oral antidiabetic therapies remain limited. This study uniquely integrates longitudinal correlation and network analyses in a large real-world T2DM cohort, allowing assessment of the temporal stability and class-specific inflammatory patterns across four oral antidiabetic therapies. Methods: This retrospective, longitudinal study analyzed 13,425 patients with T2DM treated with Biguanidines, Dipeptidyl Peptidase-4 (DPP-4) inhibitors, Sodium–Glucose Cotransporter-2 (SGLT-2) inhibitors or Thiazolidinediones (TZDs) between 2020 and 2024. Data were retrieved from the Probel^® Hospital Information System and included baseline, early (30–180 days), and late (180–360 days) follow-up laboratory results. Systemic inflammatory indices were computed from hematologic parameters, and correlations among inflammatory and biochemical markers were assessed using Spearman’s coefficients. Results: At baseline, all hematologic indices were strongly intercorrelated (SII–NLR r = 0.83, p < 0.001; SII–PLR r = 0.73, p < 0.001), with moderate associations to C-reactive protein (CRP; r ≈ 0.3–0.4) and weak or no correlations with Ferritin (r ≈ −0.1). These relationships remained stable throughout follow-up, confirming reproducibility of systemic inflammatory coupling. Longitudinally, SII and NLR showed modest early increases followed by significant declines at one year (p < 0.05), while PLR and MLR remained stable. Class-specific differences were observed: SGLT-2 inhibitors and TZDs demonstrated stronger and more integrated anti-inflammatory networks, whereas Biguanidines and DPP-4 inhibitors exhibited moderate coherence. Principal Component Analysis (PCA) explained 62.4% of total variance and revealed distinct clustering for TZD and SGLT-2 groups, reflecting class-specific inflammatory modulation. Conclusions: Systemic inflammatory indices (SII, NLR, PLR) provide reproducible and accessible measures of low-grade inflammation in T2DM. Despite overall inflammation reduction with treatment, drug-specific patterns emerged-SGLT-2 inhibitors and TZDs showed greater anti-inflammatory coherence, while Biguanidines and DPP-4 inhibitors maintained moderate effects. Full article

Objectives: This study aimed to evaluate the diagnostic value of presepsin in differentiating benign and malignant causes of cervical lymphadenopathy and to compare its performance with conventional inflammatory markers, including C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and neutrophil-to-lymphocyte ratio (NLR). Methods: A total of 76 individuals were enrolled, including 52 patients who underwent excisional biopsy for cervical lymphadenopathy and 24 healthy controls. Serum presepsin, CRP, ESR, and complete blood count parameters were measured preoperatively. Patients were classified according to histopathological diagnosis as reactive, granulomatous, or malignant lymphadenopathy. Correlation and receiver operating characteristic (ROC) analyses were performed to assess the diagnostic performance of biomarkers. Results: Median presepsin, CRP, ESR, NLR, and monocyte-to-lymphocyte ratio (MLR) levels were significantly higher in the patient group compared with controls (all p < 0.001). Presepsin levels correlated positively with CRP (r = 0.42), ESR (r = 0.38), and NLR (r = 0.36). Although subgroup analysis revealed no statistically significant differences in presepsin levels among reactive, granulomatous, and malignant cases (p = 0.50), ROC analysis demonstrated the highest diagnostic accuracy for presepsin (AUC = 0.85), followed by CRP (AUC = 0.78), ESR (AUC = 0.74), and NLR (AUC = 0.72). A presepsin threshold of >210 pg/mL predicted malignancy with 82.4% sensitivity and 78.6% specificity. Conclusions: Presepsin provides an objective and noninvasive tool that complements traditional inflammatory markers in the diagnostic evaluation of cervical lymphadenopathy. Its superior diagnostic performance for malignancy prediction suggests potential utility in guiding biopsy decisions and avoiding unnecessary surgical procedures in benign cases. Full article

Background/Objectives: Metachronous lung-limited oligometastatic disease represents a biologically heterogeneous state in which patient selection for pulmonary metastasectomy remains challenging. While systemic inflammation–nutrition indices have shown prognostic value across malignancies, their relevance in this strictly defined surgical setting is not well established. Methods: We conducted a retrospective single-center cohort study including 109 patients with isolated metachronous pulmonary recurrence who underwent curative intent R0 metastasectomy between September 2015 and April 2024. Preoperative systemic biomarkers, including neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), pan-immune-inflammation value (PIV), and monocyte-to-albumin ratio (MAR), were evaluated using receiver operating characteristic (ROC) analysis and multivariable Cox models to determine their association with overall survival (OS) and progression-free survival (PFS). Clinicopathological variables, such as lymph node involvement and metastatic burden, were incorporated into the adjusted models. Results: The median age of the cohort was 61 years (range, 29–82 years), and the sex distribution was balanced (48.6% female and 51.4% male), with 62.4% of patients being younger than 65 years. Among the systemic indices evaluated, monocyte-weighted biomarkers demonstrated the strongest prognostic performance. The MAR showed the highest discriminative ability for mortality (AUC, 0.749; p < 0.001), followed by the SIRI (AUC, 0.682; p = 0.007). In multivariable analyses, MAR independently predicted OS (p = 0.043) and PFS (p = 0.023), while SIRI independently predicted PFS (p = 0.043). Lymph node involvement remained the dominant adverse prognostic factor for both outcomes (p < 0.001); however, monocyte-weighted indices provided additional prognostic value beyond conventional anatomic criteria. Conclusions: Preoperative SIRI and MAR capture host immune–metabolic states that are relevant to postoperative trajectories and may refine risk stratification in candidates for pulmonary metastasectomy. These readily obtainable markers warrant prospective validation within biologically integrated selection frameworks. Full article

Background/Objectives: Alopecia areata is an autoimmune disorder characterized by nonscarring hair loss and systemic immune dysregulation. Hematological indices such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), mean platelet volume (MPV), systemic immune-inflammation index (SII), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) have been associated with inflammatory activity in dermatologic diseases. This study aimed to compare systemic inflammatory markers among patients with severe and mild alopecia areata and healthy controls, and to explore longitudinal changes in these markers in patients with severe disease who achieved clinical improvement following Janus kinase (JAK) inhibitor therapy. Methods: This retrospective cohort study included 129 participants: 43 patients with severe alopecia areata (SALT ≥ 50) treated with JAK inhibitors who achieved documented clinical improvement, 43 patients with mild disease (SALT ≤ 20), and 43 age- and sex-matched healthy controls. Hematological inflammatory markers, including red cell distribution width (RDW), MPV, MLR, NLR, PLR, SII, ESR, and CRP, were compared across groups. In patients with severe disease, longitudinal changes were assessed at baseline, three months after treatment initiation, and at the time of documented clinical improvement. Results: MLR, NLR, PLR, SII, and ESR levels were significantly higher in the severe group compared with mild cases and controls, while RDW, MPV, and CRP showed no significant differences. Among patients with severe alopecia areata who achieved clinical improvement following JAK inhibitor therapy, NLR and SII decreased significantly over time. MLR, PLR, and CRP also showed reductions during follow-up, while ESR and RDW remained unchanged. Conclusions: Systemic inflammatory markers are elevated in severe alopecia areata compared with mild disease and healthy controls. In patients who achieved clinical improvement with JAK inhibitor therapy, several inflammatory indices demonstrated longitudinal changes. These findings are exploratory and suggest an association between systemic inflammation, disease severity, and clinical improvement rather than definitive predictive biomarkers. Full article

Background: Acute appendicitis, a frequent pediatric surgical emergency, requires distinguishing simple from complicated cases for treatment decisions. Current tools, such as clinical scores and ultrasound, are sometimes ineffective. This study evaluates the biomarkers: neutrophils to lymphocytes ratio (NLR), monocytes to lymphocytes ratio (MLR), platelet-to-lymphocyte ratio (PLR), neutrophils to monocytes ratio (NMR), neutrophils to platelet ratio (NPR), pan-immune-inflammation value (PIV) ratio, and C-Reactive Protein (CRP) to lymphocytes ratio (CLR) for differentiation between simple and complicated appendicitis. Methods: A retrospective study of 878 pediatric patients (<18 years) who underwent appendectomy (2018–2024) at a tertiary medical center, with appendicitis classified as simple (SA, n = 696) or complicated (CA, n = 182) using intraoperative findings. Biomarkers were calculated from preoperative blood counts and CRP. Diagnostic accuracy was assessed using Mann–Whitney U tests, ROC curves, and logarithmic regression. Results: Patients with CA had higher neutrophils counts (13.61 ± 4.92 vs. 11.39 ± 4.29 K/μL), monocytes counts (1.23 ± 1.41 vs. 0.95 ± 0.48 K/μL), platelet counts (294.31 ± 72.73 vs. 270.15 ± 72.08 K/μL), CRP levels (88.55 ± 97.75 vs. 27.15 ± 44.74 mg/L), and elevated biomarker ratios as compared to those with SA: NLR (≥10.15, OR = 2.45), MLR (≥0.645, OR = 2.78), PLR (≥224.38, OR = 2.502), NMR (≥6.38, OR = 2.34), NPR (≥0.0405, OR = 1.876), PIV (≥2433.85, OR = 3.348), and CLR (≥11.77, OR = 5.935), all at p < 0.01. CLR demonstrated the highest accuracy (AUC = 0.772, sensitivity 78%, specificity 62.6%), outperforming established biomarkers, followed by PIV (AUC = 0.679). NPR was the least effective marker (AUC = 0.569). Conclusions: CLR, a promising biomarker, can aid in distinguishing complicated from simple appendicitis in children, and may offer accessible tools for resource-limited settings. Full article

Background: Preoperative inflammatory and nutrition-related markers—including the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score—have shown prognostic relevance in various malignancies. However, their comparative utility in predicting recurrence and survival across clinically relevant subgroups in patients with intrahepatic cholangiocarcinoma (iCCA) undergoing curative-intent resection remains unclear. Methods: This retrospective study included 213 patients with histologically confirmed iCCA who underwent curative-intent resection between 2015 and 2021. Preoperative NLR, LMR, PNI, and CONUT scores were calculated from laboratory data obtained within one week before resection. Clinicopathological variables, recurrence, and survival outcomes were analyzed using Cox regression and Kaplan–Meier methods. Results: A preoperative NLR ≥ 2.4 was independently associated with poorer DFS (HR = 1.66, p = 0.025) and OS (HR = 1.94, p = 0.006). This effect remained significant in patients with R0 resection (DFS: HR = 1.66, p = 0.004; OS: HR = 2.11, p = 0.014) and in those who subsequently developed recurrence (OS: HR = 1.83, p = 0.004). The CONUT score was correlated with OS in both R0 and recurrent subgroups. Tumor morphology, consistent with prior reports, was identified as a postoperative pathological factor associated with worse prognosis. Conclusions: Preoperative NLR was associated with poorer DFS and OS in iCCA patients undergoing curative-intent resection. This association was consistently observed in subgroups with R0 resection and in those who developed recurrence. Meanwhile, the CONUT score showed limited independent significance only among patients with R0 resection who experienced recurrence. Full article

Background/Objectives: Immunotherapy has improved outcomes for selected patients with advanced non-small-cell lung cancer (NSCLC), yet the predictive value of individual biomarkers such as PD-L1 remains limited. Systemic inflammatory indices derived from routine blood tests may complement molecular and immunohistochemical features, offering a broader view of host–tumor immunobiology. Methods: We conducted a retrospective study of 298 patients with stage IIIB–IV NSCLC treated with immune checkpoint inhibitors (ICIs) at a tertiary oncology center between 2022 and 2024. Baseline neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune–inflammation index (SII) were collected alongside PD-L1 expression and molecular alterations (EGFR, KRAS, ALK, TP53). Patients were stratified into inflammatory–molecular clusters integrating these parameters. Associations with objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) were evaluated using Kaplan–Meier and multivariate Cox analyses. Results: Four distinct inflammatory–molecular clusters demonstrated significantly different outcomes (p < 0.001). Patients with low NLR and high PD-L1 expression (Cluster A) showed the highest ORR (41%), longest median PFS (13.0 months), and OS (22.5 months). The EGFR/ALK-driven, inflammation-dominant cluster (Cluster C) exhibited poor response (ORR 7%) and shortest survival (PFS 4.3 months). High NLR (HR 2.12), PD-L1 < 1% (HR 1.91), and EGFR mutation (HR 2.36) independently predicted shorter PFS. A combined model incorporating NLR, PD-L1, and molecular status outperformed individual biomarkers (AUC 0.82). Conclusions: Integrating systemic inflammatory indices with PD-L1 expression and molecular alterations identifies clinically meaningful NSCLC subgroups with distinct immunotherapy outcomes. This multidimensional approach improves prediction of ICI response and may enhance real-world patient stratification, particularly in settings with limited access to extended molecular profiling. Full article

Background and Objectives: HER2-positive metastatic colorectal cancer (mCRC) represents a biologically distinct and clinically aggressive subtype associated with poor response to standard first-line chemotherapy. Reliable, low-cost prognostic biomarkers are urgently needed to identify early non-responders and guide treatment decisions. This real-world cohort study evaluated the prognostic value of carcinoembryonic antigen (CEA) kinetics and systemic inflammatory markers (SIMs) in HER2-positive mCRC treated with first-line chemotherapy. Materials and Methods: We retrospectively analyzed 98 patients with HER2-positive mCRC treated between 2015 and 2024. Serial CEA values were measured at baseline, after three cycles (week 6), and at radiologic progression. Early CEA change was categorized as ≥50% decline, 10–49% decline, or any increase. Baseline SIMs—including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII)—were calculated from pretreatment blood counts. Progression-free survival (PFS) was analyzed using Kaplan–Meier and Cox regression models. Results: Among patients with evaluable CEA kinetics (n = 60), early CEA increase occurred in 30% of patients (n = 18) and was strongly associated with inferior PFS (HR 2.84; 95% CI 1.81–4.44; p < 0.001). ROC analysis identified a ≥38% CEA reduction as the optimal predictor of radiologic response (AUC 0.79). High baseline NLR (≥3) and high SII (≥900) were also significantly associated with shorter PFS (median PFS: 5.2 vs. 9.1 months for NLR; 4.7 vs. 10.3 months for SII; both p < 0.01). In multivariate analysis, early CEA increase, high NLR, and high SII remained independent predictors of poor PFS. Conclusions: CEA dynamics and inflammation-based biomarkers provide robust, complementary prognostic information in HER2-positive mCRC. Early CEA increase is the strongest independent predictor of poor outcome, while high baseline NLR and SII further refine risk stratification. These inexpensive and widely accessible biomarkers may help identify early non-responders, optimize monitoring strategies, and support timely therapeutic adjustments in routine clinical practice. Full article

(1) Background: The clinical course of acute myocarditis in adolescents is heterogeneous, and reliable predictors of early functional changes remain limited, particularly in patients without severe systolic dysfunction. Routine hematologic parameters may reflect the early inflammatory response, but their prognostic relevance in pediatric non-fulminant myocarditis is poorly defined. This exploratory study aimed to assess whether admission inflammatory blood indices are associated with short-term changes in left ventricular systolic function in adolescents with acute myocarditis. (2) Methods: We retrospectively analyzed 44 adolescents (median age 16 years, 84% male) hospitalized with suspected acute non-fulminant myocarditis between 2020 and 2023. All patients had preserved or mildly reduced left ventricular ejection fraction (LVEF) at presentation. Clinical, laboratory, electrocardiographic, and echocardiographic data obtained at admission were analyzed. Changes in LVEF between the acute and post-acute phases during hospitalization were assessed using transthoracic echocardiography. Cardiac magnetic resonance imaging was performed in a subset of patients to support diagnosis but was not uniformly available for quantitative analysis. (3) Results: No in-hospital deaths occurred. A modest positive correlation was observed between neutrophil count at admission and improvement in LVEF during hospitalization (r = 0.348, p = 0.028). No significant associations were found between LVEF change and white blood cell count, lymphocyte count, monocyte count, neutrophil-to-lymphocyte ratio (NLR), troponin I, or NT-proBNP. (4) Conclusions: In adolescents with non-fulminant acute myocarditis and preserved or mildly reduced systolic function, admission neutrophil count was associated with short-term improvement in left ventricular ejection fraction. Given the retrospective design, limited sample size, and absence of mechanistic data, these findings should be interpreted as hypothesis-generating. Further prospective studies incorporating standardized cardiac magnetic resonance imaging and immunologic profiling are needed to clarify the clinical significance of this association. Full article

Objective: This study aimed to evaluate blood count-derived inflammatory indices—the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and the systemic immune-inflammation index (SII)—in patients with fibromyalgia and to explore their association with disease activity and pain severity. Methods: A cross-sectional study was conducted with 85 fibromyalgia patients and 84 age- and sex-matched healthy controls. Demographic, clinical, and laboratory data were recorded. Inflammatory indices were calculated from blood counts. Disease activity and functional status were assessed with the Fibromyalgia Impact Questionnaire (FIQ), Health Assessment Questionnaire (HAQ), and pain severity with the Visual Analog Scale (VAS). Results: Compared to controls, the fibromyalgia group had significantly higher BMI, PLR, MLR, and NLR (all p < 0.05), and lower lymphocyte levels. PLR and MLR moderately discriminated fibromyalgia (AUC = 0.623 and 0.661, respectively), suggesting limited diagnostic utility when used alone. MLR and BMI were independently associated with fibromyalgia in multivariate analysis. Disease duration showed significant positive correlations with PLR (r = 0.167), MLR (r = 0.228), FIQ (r = 0.773), HAQ (r = 0.589), and VAS at rest and movement (r = 0.584 and r = 0.601; all p < 0.05). PLR, MLR, and NLR were also positively correlated with VAS scores, while SII showed no significant associations. FIQ was strongly correlated with pain severity and HAQ with VAS during movement. Conclusions: Blood count-derived indices, particularly PLR and MLR, are elevated in fibromyalgia and are associated with disease duration, severity, and pain. Although PLR and MLR were higher in fibromyalgia patients, their discriminatory ability was limited and should be interpreted cautiously, indicating that their diagnostic specificity is low, as these ratios primarily reflect nonspecific inflammatory processes. Full article

Objectives: Lung cancer remains as the most common cause of cancer-related death. The possible relationships between inflammatory markers and lung cancer prognosis have yet to be clarified. In this study, we aimed to assess and compare various inflammatory markers and prognostic tests for their role in predicting mortality in patients with lung cancer who were admitted to the intensive care unit. Methods: A total of 229 patients diagnosed with small cell or non-small cell lung cancer who attended follow-up after treatment were included. The predictive performance of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), modified Glasgow prognostic score (mGPS), Prognostic nutritional index (PNI), APACHE II score, and MPM II-Admission (Mortality Probability Models II-0) were assessed in terms of mortality status. We also performed multivariable logistic regression to determine whether any of these parameters were independently associated with mortality. Results: We included 229 patients into our study; the mean age was 66.17 ± 11.89 years. Among these, 135 (58.95%) patients died and 94 (41.05%) patients were discharged. When we evaluated the performance of the prognostic scores in predicting mortality, we found mGPS, MPM II-Admission, and APACHE II scores had the highest sensitivity, and MPM II-Admission, PNI, and APACHE II scores had the highest specificity. Multivariable regression revealed that PNI was the only inflammation-related parameter that was independently associated with mortality. Conclusions: PNI, APACHE-II, and MPM II-Admission may be used as easily accessible tests for mortality estimation in lung cancer patients admitted to the ICU. Full article

Background/Objectives: Acute appendicitis (AA) is among the most common surgical emergencies. Differentiating between complicated (CAA) and uncomplicated (UAA) forms is essential for selecting the appropriate management—operative or non-operative—and for optimizing patient prioritization and outcomes. This study aimed to evaluate the diagnostic performance of emerging inflammatory indices in distinguishing these forms of AA. Methods: A total of 514 adult patients with surgically confirmed AA were retrospectively analyzed. Six immune-inflammatory indices—neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and pan-immune-inflammation value (PIV)—were calculated and compared with intraoperative and histopathological findings. Postoperative outcomes, including length of hospital stay (LOS) and hospitalization costs, were also evaluated. Results: All six indices were significantly higher in intraoperatively identified complicated cases (p < 0.0001). In histopathological analysis, five indices (NLR, MLR, SII, SIRI, and PIV) remained significantly elevated in patients with wall necrosis or perforation (p = 0.000–0.019), while PLR did not reach statistical significance. The indices showed fair diagnostic accuracy (AUC = 0.664–0.719, p < 0.0001). NLR and MLR were independent risk factors for CAA (p = 0.006 and p = 0.016), and MLR was also independently associated with complicated histopathological findings (p = 0.036). PIV independently predicted both increased LOS and higher hospitalization costs (p = 0.001 for each). Conclusions: These easily calculable inflammatory markers can serve as useful adjuncts for preoperative stratification of AA, supporting timely decision-making and contributing to more cost-effective emergency surgical care. Full article

Background/Objectives: Preeclampsia can be divided into two groups (with and without severe features) based symptom severity. We aimed to distinguish these two entities with the aid of fibrinogen to albumin ratio (FAR), uric to acid albumin ratio (UAR) and LDH to albumin ratio (LAR). Methods: This retrospective study was conducted in Istanbul Basaksehir Cam and Sakura City Hospital between 2020 and 2023. Seventy-three patients with preeclampsia were included in this study which were categorized into two groups according to disease severity: 40 patients with preeclampsia without severe features and 33 patients with severe features. Additionally, 30 healthy pregnant women were included as a control group. Neutrophil–lymphocyte ratio (NLR), monocyte–lymphocyte ratio (MLR), platelet–lymphocyte ratio (PLR), mean platelet volume (MPV), red cell distribution width (RDW), mean platelet volume (MPV), Uric acid, LDH, AST, ALT, fibrinogen, albumin, FAR, UAR and LAR were compared among the groups. Results: FAR was significantly higher in preeclampsia patients with and without severe features compared to control group (Odds ratio 8.32 for ≥0.139 vs. <0.139, p < 0.001). There was no significant difference in FAR levels between preeclampsia patients according to disease severity. UAR and LAR were significantly different between preeclampsia patients with and without severe features and the control group (p < 0.001). Receiver operating characteristics (ROC) curves for UAR showed that a cut-off value of 1.727 had a sensitivity of 73% and a specificity of 68% in discriminating between preeclampsia with and without severe features (Odds ratio 5.53 for ≥1.727 vs. <1.727). ROC curves for LAR showed that a cut-off value of 79.09 had a sensitivity of 85% and a specificity of 73% in discriminating between preeclampsia with and without severe features (Odds ratio 14.76 for ≥79.09 vs. <79.09). Conclusions: UAR and LAR appear to be better markers than FAR for identifying preeclamptic patients who require delivery due to severe features. They are easily accessible and promising biomarkers, and to our knowledge, this is the first study to evaluate LAR in this context. Further studies are needed to validate their diagnostic accuracy and compare their performance with established biomarkers. Full article