Receiver Operating Characteristic Analysis Research Articles

Analyzing the relationship between processing speed impairment and Rey-15 item test performance

ABSTRACT Objective This study investigated the relationship between processing speed impairment severity and performance on the Rey 15-Item Test (RFIT) and RFIT + Recognition. Method Cross-sectional data from 285 examinees (228 valid/57 invalid) referred for neuropsychological assessment who were administered the RFIT, Weschler Adult Intelligence Scale-Fourth Edition (WAIS-IV) Processing Speed Index (PSI), Brief Visuospatial Memory Test – Revised, Rey Auditory Verbal Learning Test, and three independent criterion PVTs were included. PSI bands were operationalized as Intact (≥85SS; n = 163), Reduced/Possibly Impaired (77-84SS; n = 36), or Impaired (≤76 SS; n = 29). Receiver operator characteristic (ROC) curve analyses tested the RFIT and RFIT + Recognition’s classification accuracy for detecting invalid performance for the overall sample and by PSI impairment status. Results Those with intact processing speed performed significantly better on the RFIT and RFIT + Recognition than those with reduced/possibly impaired and impaired processing speed. Though verbal/visual memory predicted RFIT scores independently, PSI contributed additional variance. ROC curves for RFIT and RFIT + Recognition were significant (AUC=.64-.84). Optimal cut-scores yielded modest sensitivity (30%-63%) and high specificity (89%-93%) among those with intact and reduced processing speed but yielded unacceptable accuracy in those with impaired speed (AUC=.59-.62). Conclusions Although the RFIT and RFIT + Recognition demonstrated acceptable classification accuracy in those with intact processing speed, accuracy diminished with increasing speed impairment. This finding was more pronounced for RFIT + Recognition compared to the traditional RFIT. As such, the RFIT may have limited clinical utility in examinees with more significant processing speed deficits.

PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI

Pollen grains play a critical role in environmental, agricultural, and allergy research despite their tiny dimensions. The accurate classification of pollen grains remains a significant challenge, mainly attributable to their intricate structures and the extensive diversity of species. Traditional methods often lack accuracy and effectiveness, prompting the need for advanced solutions. This study introduces a novel deep learning framework, PollenNet, designed to tackle the intricate challenge of pollen grain image classification. The efficiency of PollenNet is thoroughly evaluated through stratified 5-fold cross-validation, comparing it with cutting-edge methods to demonstrate its superior performance. A comprehensive data preparation phase is conducted, including removing duplicates and low-quality images, applying Non-local Means Denoising for noise reduction, and Gamma correction to adjust image brightness. Furthermore, Explainable AI (XAI) is utilized to enhance the interpretability of the model, while Receiver Operating Characteristic (ROC) curve analysis serves as a quantitative method for evaluating the model's capabilities. PollenNet demonstrates superior performance when compared to existing models, with an accuracy of 98.45 %, precision of 98.20 %, specificity of 98.40 %, recall of 98.30 %, and f1-score of 98.25 %. The model also maintains low Mean Squared Error (0.03) and Mean Absolute Error (0.02) rates. The ROC curve analysis, the low False Positive Rate (0.016), and the False Negative Rate (0.017) highlight the reliability and dependability of the model. This study significantly improves the efficacy of classifying pollen grains, indicating an important advancement in the application of deep learning for ecological research.

The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for screening metabolic dysfunction-associated steatotic liver disease: an analysis from a gender perspective

BackgroundThe Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) Index, serves as an effective tool for evaluating body fat (BF) levels. This research seeks to clarify the association between the CUN-BAE Index and metabolic dysfunction-associated steatotic liver disease (MASLD) from a gender perspective.MethodsThe study utilized data from a comprehensive health assessment initiative known as “Human Dock”, involving 14,251 participants. MASLD was diagnosed using abdominal ultrasound, primarily evaluated based on the following sonographic features: hepatorenal echo contrast, vascular blurring, deep attenuation, liver brightness. First, we evaluated the association of MASLD with the CUN-BAE Index using multivariate logistic regression. Second, we visualized this association and estimated potential threshold effect points using the restricted cubic spline (RCS) regression model. Ultimately, we evaluated the ability of the CUN-BAE Index to detect MASLD through receiver operating characteristic (ROC) curves.ResultsThe female-to-male ratio was 1:1.08, with a MASLD prevalence rate of 17.59%. Following the adjustment for confounding variables, an increase of one unit in the CUN-BAE Index corresponded to a 14% increase in the risk of MASLD for males and an 18% increase for females. RCS analysis revealed an S-shaped relationship between MASLD prevalence and the CUN-BAE Index for both genders, with potential threshold effect points at approximately 30 in females and 15 in males. Beyond these threshold points, the prevalence of MASLD increased rapidly. Further subgroup analyses indicated significant differences in the relationship of the CUN-BAE Index with MASLD within age and body mass index (BMI) subgroups in females, with a stronger association observed in younger and non-obese female participants. Additionally, ROC analysis revealed that the CUN-BAE Index possesses a strong ability to distinguish MASLD in both genders, especially in females.ConclusionsThis research is the first to identify a positive relationship between the CUN-BAE Index and MASLD. The CUN-BAE Index appears to be more suitable for early screening of MASLD in females.

Diagnostic value of serum vascular endothelial growth factor and interleukin-17 in primary hepatocellular carcinoma.

Despite significant advancements in the medical treatment of primary hepatocellular carcinoma (PHC) in recent years, enhancing therapeutic effects and improving prognosis remain substantial challenges worldwide. To investigate the expression levels of serum vascular endothelial growth factor (VEGF) and interleukin (IL)-17 in patients with PHC and evaluate their diagnostic value while exploring their relationship with patients' clinical characteristics. The study included 50 patients with confirmed PHC who visited Wuhan Hanyang Hospital from January 2021 to January 2022, and 50 healthy individuals from the same period served as the control group. Serum VEGF and IL-17 levels in both groups were measured by Enzyme-Linked Immunosorbent Assay, and their diagnostic value was assessed using receiver operating characteristic (ROC) curves. Pearson correlation analysis was performed to examine the relationship between serum VEGF and IL-17 levels. Pathological data of the PHC patients were analyzed to determine the relationship between serum VEGF and IL-17 levels and pathological characteristics. Serum VEGF and IL-17 levels were significantly higher in the study group compared to the control group (P < 0.05). No significant association was observed between serum VEGF and IL-17 levels and gender, age, combined cirrhosis, tumor diameter, or degree of differentiation (P > 0.05). However, there was a significant relationship between clinical TNM stage, tumor metastasis, and serum VEGF and IL-17 levels (P < 0.05). Correlation analysis revealed a positive correlation between serum VEGF and IL-17 (P < 0.05). ROC analysis demonstrated that both serum VEGF and IL-17 had good diagnostic efficacy for PHC. Serum VEGF and IL-17 levels were significantly higher in PHC patients compared to healthy individuals. Their levels were closely related to pathological features such as tumor metastasis and clinical TNM stage, and there was a significant positive correlation between VEGF and IL-17. These biomarkers may serve as valuable reference indicators for the early diagnosis and treatment guidance of PHC.

Machine learning-based prediction of gastroparesis risk following complete mesocolic excision

BackgroundGastroparesis is a major complication following complete mesocolic excision (CME) and significantly impacts patient outcomes. This study aimed to create a machine learning model to pinpoint key risk factors before, during, and after surgery, effectively predicting the risk of gastroparesis after CME.MethodsThe study involved 1146 patients with colon cancer, out of which 95 developed gastroparesis. Data were collected on 34 variables, including demographics, chronic conditions, pre-surgery test results, types of surgery, and intraoperative details. Four machine learning techniques were employed: extreme gradient boosting (XGBoost), random forest (RF), support vector machine (SVM), and k-nearest neighbor (KNN). The evaluation involved k-fold cross-validation, receiver operating characteristic (ROC) analysis, calibration curves, decision curve analysis (DCA), and external validation.ResultsXGBoost excelled in its performance for predictive models. ROC analysis showed high accuracy for XGBoost, with area under the curve (AUC) scores of 0.976 for the training set and 0.906 for the validation set. K-fold cross-validation confirmed the model's stability, and calibration curves indicated high predictive accuracy. Additionally, DCA highlighted XGBoost’s superior patient benefits for intervention treatments. An AUC of 0.77 in external validation demonstrated XGBoost's strong generalization ability.ConclusionThe XGBoost-fueled predictive model for post-surgery colon cancer patients proved highly effective. It underlined gastroparesis as a significant post-operative issue, associated with advanced age, prolonged surgeries, extensive intraoperative blood loss, surgical techniques, low serum protein levels, anemia, diabetes, and hypothyroidism.

MPO-DNA Complexes and cf-DNA in Patients with Sepsis and Their Clinical Value.

Background/Objectives: Neutrophils, as the first line of defense in the immune response, produce neutrophil extracellular traps (NETs) upon activation, which are significant in the pathogenesis and organ damage in sepsis. This study aims to explore the clinical value of myeloperoxidase-DNA (MPO-DNA) and cell-free DNA (cf-DNA) in sepsis patients. Methods: Clinical data were collected from 106 sepsis patients, 25 non-sepsis patients, and 51 healthy controls. Sequential Organ Failure Assessment (SOFA) scores were calculated, and levels of MPO-DNA) complexes and cf-DNA were measured using specific kits. Correlation analyses assessed relationships between indicators, while logistic regression identified independent risk factors. Receiver operating characteristic (ROC) curves calculated the area under the curve (AUC) to evaluate the diagnostic value of the biomarkers. Results: Sepsis patients exhibited significantly elevated levels of MPO-DNA and cf-DNA compared to non-sepsis patients and healthy controls. In sepsis patients, MPO-DNA and cf-DNA levels correlated with inflammation, coagulation, and organ damage indicators, as well as procalcitonin (PCT) levels and SOFA scores. Both C-reactive protein (CRP) and cf-DNA were identified as independent risk factors for sepsis, demonstrating moderate diagnostic value. ROC analysis showed that the combination of MPO-DNA and CRP (AUC: 0.837) enhances the AUC value of CRP (0.777). Conclusions: In summary, elevated serum levels of MPO-DNA and cf-DNA in sepsis patients correlate with SOFA scores and PCT levels, providing reference value for sepsis diagnosis in clinical settings.

Clinical characteristics and diagnostic test for spherophakia: A retrospective analysis

BackgroundThis study aimed to analyze ocular characteristics in patients diagnosed with spherophakia, establish effective diagnostic criteria, and aid clinicians in prompt identification and management. MethodsA retrospective case series identified spherophakia cases through medical records and literature searches. The case group included spherophakia patients, and the control group comprised individuals with similar eye conditions. Intraocular lens calculations used the SRK-T formula, and statistical analyses were performed using SPSS. Diagnostic efficacy was assessed through receiver operating characteristic (ROC) curve analysis. ResultsThe study included 12 cases (23 eyes) from medical records and 86 patients (142 eyes) from literature sources. Characteristics of spherophakia included bilateral involvement, younger age, shallow anterior chamber depth, lens dislocation, and secondary glaucoma. A diagnostic criterion based on lens power demonstrated high sensitivity (94.3 %) and specificity (91.9 %). ROC analysis yielded area under the ROC curve (AUROC) values of 0.974 for lens power, outperforming refractive error (0.119), corneal curvature (0.465) and axial length (0.496). The lens power cutoff for diagnosing spherophakia was 31.25D. ConclusionThe study offers crucial insights into spherophakia's clinical characteristics and presents a practical diagnostic criterion using lens power, enhancing early detection and management. Further research is needed to validate and refine these findings, establishing standardized diagnostic criteria for spherophakia.

Effectiveness of back therapeutic exercises and Pilates on the clinical improvement of the intensity of chronic low back pain and determination of the minimal clinically important improvement threshold from treatments in a hospital setting

The primary aim was to compare the effectiveness of therapeutic back exercises and Pilates in reducing chronic low back pain and to determine the threshold of improvement and the difference in pre- and post-treatment scores considered clinically relevant for patients. Methodology: A total of 53 patients with chronic low back pain were randomly assigned to two groups: one with 27 participants performing Pilates and another with 26 participants following a back exercise program. The treatment consisted of sessions twice a week for three months. Pain intensity was assessed before and after treatment using the Visual Analog Pain Scale. A clinically relevant threshold was defined as a sufficient reduction in pain score for patients to feel "very satisfied." A Receiver Operating Characteristic Curve analysis was used to determine the sensitivity and specificity of the improvement threshold. Additionally, a linear regression model was applied to analyze the relationship between score difference and the percentage of improvement. Results: Although both groups showed significant improvements in pain reduction after treatment, there were no statistically significant differences between them. The average reductions in both groups did not exceed two points (Back Exercise Group = 1.43 points, Pilates Group = 1.82 points), thus not reaching the two-point average improvement required to meet the clinically relevant improvement threshold. However, at an individual level, 45.83% of the Pilates group and 37.5% of the back exercise group achieved a clinically relevant improvement (≥30% improvement). The improvement threshold of 31.4%, equivalent to a two-point reduction, was correlated with greater clinical satisfaction (sensitivity 84%, specificity 87%). Conclusions: Both treatments produced beneficial effects in reducing chronic low back pain. However, the average improvement was not clinically relevant for the overall sample. At an individual level, a significant proportion of patients achieved clinically relevant improvement, particularly in the Pilates group. The 31.4% improvement threshold serves as an additional indicator for evaluating the clinical relevance of treatments. Keywords: Therapeutic back exercises, Pilates, chronic low back pain, Visual Analog Scale for Pain, Minimal Clinically Important Change.

Associations between neutrophil-percentage-to-albumin ratio level and all-cause mortality and cardiovascular disease-cause mortality in general population: evidence from NHANES 1999-2010.

Chronic inflammation is a recognized independent risk factor for cardiovascular disease (CVD), highlighting the need for reliable inflammatory indicator to predict CVDs. As an inflammatory indicator which has been proved to have predictive value for prognosis of CVDs, neutrophil percentage-to-albumin ratio (NPAR) has obtained increasing attention, but further research is needed to confirm the relationship with mortality in the general population. This prospective cohort study included 21,317 individuals who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2010, where baseline characteristics and NPAR level were extracted. Data for CVD and all-cause mortality were acquired by linking the cohort database with the National Death Index through December 31, 2019. We employed restricted cubic spline analyses to examine the nonlinear association. Weighted Kaplan-Meier curves with log-rank tests were conducted to access cumulative survival differences across different NPAR results. Multivariable Cox proportional hazards regression models were used to compute hazard ratios and 95% CIs. Receiver Operating Characteristic (ROC) curves were used to compare predictive value of NPAR with systemic immune inflammation index (SII) and neutrophils percent. In this cohort study, during 270,014 person-years of follow-up, 4,074 all-cause deaths and 1,116 CVD-cause deaths were documented. NPAR levels exhibited significant nonlinear associations with both CVD-cause (P = 0.018 for nonlinearity) and all-cause mortality (P < 0.001 for nonlinearity). Participants in the highest NPAR tertile had a significantly increased risk of all-cause mortality (HR: 1.46, 95% CI: 1.33-1.61) and CVD-cause mortality (HR: 1.54, 95% CI: 1.32-1.80) compared to those in the lowest tertile in the fully adjusted model, while no association was detected for individuals in the middle tertile. Further ROC analysis confirmed that NPAR had higher predictive value than neutrophil percent segment and SII. Elevated NPAR level was significantly associated with an increased risk of all-cause and CVD-cause mortality in general population. The high predictive value of NPAR, combined with the easy-to-calculate property, suggests that its potential as a novel inflammatory indicator is worthy of further investigation.

Assessing a revised-risk analysis index for morbidity and mortality after spine surgery for metastatic spinal tumors.

Risk Analysis Index (RAI) has been increasingly used to assess surgical frailty in various procedures, but its effectiveness in predicting mortality or in-patient hospital outcomes for spine surgery in metastatic disease remains unclear. The aim of this study was to compare the predictive values of the revised RAI (RAI-rev), the modified frailty index-5 (mFI-5), and advanced age for extended length of stay, 30-day readmission, complications, and mortality among patients undergoing spine surgery for metastatic spinal tumors. A retrospective cohort study was performed using the 2012-2022 ACS NSQIP database to identify adult patients who underwent spinal surgery for metastatic spinal pathologies. Using receiver operating characteristic (ROC) and multivariable analyses, we compared the discriminative thresholds and independent associations of RAI-rev, mFI-5, and greater patient age with extended length of stay (LOS), 30-day complications, hospital readmission, and mortality. A total of 1,796 patients were identified, of which 1,116 (62.1%) were male and 1,008 (70.7%) were non-Hispanic White. RAI-rev identified 1,291 (71.9%) frail and 208 (11.6%) very frail patients, while mFI-5 identified 272 (15.1%) frail and 49 (2.7%) very frail patients. In the ROC analysis for extended LOS, both RAI-rev and mFI-5 showed modest predictive capabilities with area under the curve (AUC) values of 0.5477 and 0.5329, respectively, and no significant difference in their predictive abilities (p = 0.446). When compared to age, RAI-rev demonstrated superior prediction (p = 0.015). With respect to predicting 30-day readmission, no significant difference was observed between RAI-rev and mFI-5 (AUC 0.5394 l respectively, p = 0.354). However, RAI-rev outperformed age (p = 0.001). When assessing the risk of 30-day complications, RAI-rev significantly outperformed mFI-5 (AUC: 0.6016 and 0.5542 respectively, p = 0.022) but not age. Notably, RAI-rev demonstrated superior ability for predicting 30-day mortality compared to mFI-5 and age (AUC: 0.6541, 0.5652, and 0.5515 respectively, p < 0.001). Multivariate analysis revealed RAI-rev as a significant predictor of extended LOS [aOR: 1.96, 95% CI: 1.13-3.38, p = 0.016] and 30-day mortality [aOR: 5.27, 95% CI: 1.73-16.06, p = 0.003] for very frail patients. Similarly, the RAI-rev significantly predicted 30-day complications for frail [aOR: 2.63, 95% CI: 1.21-5.72, p = 0.015] and very frail [aOR: 3.69, 95% CI: 1.60-8.51, p = 0.002] patients. However, the RAI did not significantly predict 30-day readmission [Very Frail aOR: 1.52, 95% CI: 0.75-3.07, p = 0.245; Frail aOR: 1.46, 95% CI: 0.79-2.68, p = 0.225]. Our study demonstrates the utility of RAI-rev in predicting morbidity and mortality in patients undergoing spine surgery for metastatic spinal pathologies. Particularly, the superiority that RAI-rev has in predicting 30-day mortality may have significant implications in multidisciplinary decision making.

The role of cellular senescence in the pathogenesis of Rheumatoid Arthritis: Focus on IL-6 as a target gene

BackgroundRheumatoid arthritis is a chronic autoimmune disease. However, the specific role of senescence in rheumatoid arthritis (RA) is unknown. This study aimed to identify potential aging-related genes that have diagnostic and therapeutic value for RA. MethodsThe GSE89408 dataset was downloaded from the Gene Expression Omnibus (GEO). Aging-related genes were downloaded from the HAGR database. Differentially expressed genes (DEGs) were subsequently identified with the “edgeR” tool. Next, hub genes were identified with a PPI network and CytoHubba analysis. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic value of these hub genes. Immune infiltration analysis was performed with the CIBERSORT algorithm. Additionally, molecular docking was performed with CB-Dock2. Finally, correlation experiments were performed to validate the bioinformatics and molecular docking results. ResultsA total of 22 ADEGs were identified. Combined PPI network and CytoHubba analyses identified a total of 7 hub genes, including IL-6, IL7R, IL2RG, CDK1, PTGS2, and LEP, which are associated mainly with inflammation and immune responses. ROC analysis revealed that the hub genes were highly predictive of RA. Analysis of immune infiltration revealed that the 6 hub genes were positively associated with M1 macrophages. Validation experiments revealed that the inhibition of IL-6 significantly decreased the degree of synovial fibroblast (FLS) senescence. Furthermore, molecular docking and validation experiments revealed that IL-6 is a potential target for drug therapy. ConclusionThis study demonstrated that RA-FLS senescence may promote the development of RA via inflammatory and immune mechanisms. Seven hub genes were identified, of which IL-6 is a reliable biomarker for the diagnosis and treatment of RA.

Congential nasolacrimal duct obstruction: investigating the role of systemic inflammation through novel biomakers.

Congenital nasolacrimal duct obstruction (CNLDO) is a common lacrimal system anomaly in newborns and infants. We aimed to evaluate the role of inflammation in the pathogenesis of persistent CNLDO and its potential use in diagnosis and follow up, focusing on novel inflammatory biomarkers: Systemic Immune-Inflammation Index (SII), Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR), Red cell distribution width (RDW), and Mean platelet volume (MPV). A retrospective case-control study involving 76 CNLDO patients and 47 age-matched healthy controls was conducted. Complete blood count parameters were analyzed to calculate SII, NLR, PLR, RDW, and MPV. Receiver Operating Characteristic (ROC) analysis determined the diagnostic efficacy of these markers. SII, RDW, and neutrophil count were significantly elevated in the CNLDO group (p < 0.05). An elevated SII (cutoff > 200.9) demonstrated a sensitivity of 63.2% and a specificity of 63.8%. ROC analysis (AUC = 61.7%, p = 0.029) indicated that SII is a more significant marker for diagnosing CNLDO compared to NLR and PLR. Elevated SII, indicative of systemic inflammation may serve as a significant biomarker in the diagnosis of CNLDO that does not resolve spontaneously and requires probing. SII > 200.9 acts as a threshold that aids in the diagnosis of persistent CNLDO. Being a valuable biomarker, SII can be used in monitoring patients with CNLDO and in identifying those who will require advanced treatment like probing. Prospective studies are essential to validate these findings.

A single-center prospective analysis of the impact of glucose metabolism on pancreatic fistula onset after pancreaticoduodenectomy for periampullary tumors

BackgroundGlucose impairment notably affects the postoperative course of gastrointestinal surgeries. However, evidence on its impact on clinically relevant pancreatic fistulas(CR-POPFs) after pancreaticoduodenectomy(PD) is lacking. This study evaluates if and how preoperative glucose metabolism affects the development of CR-POPF after PD. MethodsOne hundred and ten consecutive PDs were included. Patients underwent preoperative metabolic profiling using the Oral Glucose Tolerance Test(OGTT) and the hyperinsulinemic euglycemic clamp procedure. Accordingly, patients were categorized as normal glucose tolerant (NGT), impaired glucose tolerant (IGT), diabetic (DM), and longstanding-DM. Receiver operating characteristics(ROC) analyses were performed to determine the values of metabolic features in prediction of CR-POPF. ResultsThe CR-POPF rate was 36.3 ​%(40 patients). NGT patients had a higher CR-POPF rate (51.7 ​%) compared to IGT(45.2 ​%), DM (15.8 ​%), and longstanding-DM (25.8 ​%) (p ​= ​0.03). CR-POPF patients had lower median fasting glucose levels (p ​= ​0.01) and higher c-peptide values at all OGTT time points (p ​< ​0.05). Fasting glucose and c-peptide levels had high diagnostic accuracy for CR-POPF (AUC>0.8) and were independent risk factors for CR-POPF (OR: 24.7[95%CI: 3.7–165.3] for fasting glucose; OR: 19.9[95%CI: 3.2–125.3] for c-peptide). ConclusionNormoglycemia and normal beta cell function may be risk factors for CR-POPF after PD. Fasting glucose and c-peptide levels effectively predicted CR-POPF development following PD. ClinicalTrials gov IdentifierNCT02175459

Upper extremity neuromuscular function can distinguish between individuals with and without glenohumeral labral repair

The purpose of this study was to determine whether common measures of neuromuscular function could distinguish injury status indicated by group membership (glenohumeral labral repair, uninjured controls). 16 individuals with glenohumeral labral repair (24.1 ± 5.0 years, 36.7 ± 33.3 months after surgery) and 14 uninjured controls (23.8 ± 2.7 years) volunteered. We measured mass-normalized shoulder abduction and wrist flexion maximal voluntary isometric contraction torque (Nm/kg), motoneuron pool excitability of the flexor carpi radialis (Hoffmann reflex), corticospinal excitability of the upper trapezius, middle deltoid, and flexor carpi radialis (active motor threshold [%]) bilaterally. Receiver operator characteristic curve analyses were performed to determine if each outcome could distinguish injury status along with their outcome thresholds. Binary logistic regression was used to determine the accuracy of classification for each outcome. Our results suggest shoulder abduction torque symmetry (≤95.5 %) and corticospinal excitability for the upper trapezius (≥41.0 %) demonstrated excellent diagnostic utility. Shoulder abduction torque (≤0.71 Nm/kg) and motoneuron pool excitability (≤0.23) demonstrated acceptable diagnostic utility. Shoulder abduction torque symmetry alone was the strongest indicator, and classified injury status with 90.0 % accuracy (p < 0.01). Overall, symmetric shoulder abduction strength most accurately distinguished individuals’ injury status, suggesting the utility of bilateral assessment in this population.

Assessing the Metabolic Variations of Invasive and Noninvasive Unilateral Retinoblastoma Patients.

Retinoblastoma (Rb) is a pediatric eye cancer which if diagnosed at later stages can lead to Rb invasion into the choroid, optic nerve, sclera, or beyond, with the potential of undergoing metastasis. Cancer cells, including Rb cells, reprogram their metabolic circuits for their own survival and progression, which provides a great opportunity to monitor the extent of Rb progression based on metabolic differences. Henceforth, the present study aims to map the metabolic variations in patients with invasive (primarily enucleated eyes with high-risk histopathological features) and noninvasive (eyes salvaged with treatment) unilateral retinoblastoma (Rb) using nuclear magnetic resonance (NMR) based serum metabolomics. Quantification of differential metabolites in the serum obtained from 9 patients with invasive and 4 with noninvasive unilateral Rb along with 6 controls (no retinal pathology) was carried out using 1H NMR spectroscopy. A total of 71 metabolites, such as organic acids, amino acids, carbohydrates, and others, were identified in the serum obtained from 9 patients with invasive and 4 with noninvasive unilateral Rb. Partial least-squares discriminant analysis (PLS-DA) models depicted distinct grouping of invasive and noninvasive Rb patients and controls. Differential metabolic fingerprints were observed for invasive and noninvasive Rb patients based on their biostatistical analyses with respect to controls. Remarkable perturbation was observed among various metabolites such as 4-aminobutyrate, 2-phosphoglycerate, O-phosphocholine, proline, Sn-glycero-3-phosphocholine (Sn-GPC), and O-phosphoethanolamine in noninvasive and invasive Rb patients with most of the effects being heightened in the latter group. Metabolic changes unique to invasive and noninvasive Rb patients were also observed. Multivariate receiver operating characteristics (ROC) analysis unveiled the highest accuracy and potency of ROC models 2 and 5 to distinguish the noninvasive and invasive Rb from controls, respectively. Metabolites identified in the serum of patients with invasive and noninvasive Rb may aid in advancing our knowledge about Rb tumor biology. Differential aberrant metabolic variations in patients with invasive Rb compared to those with noninvasive Rb may guide the decision of enucleation versus globe salvage.

Using ROC Analysis to Refine Cut Scores Following a Standard Setting Process

In educational assessment, cut scores are often defined through standard setting by a group of subject matter experts. This study aims to investigate the impact of several factors on classification accuracy using the receiver operating characteristic (ROC) analysis to provide statistical and theoretical evidence when the cut score needs to be refined. Factors examined in the study include the sample distribution relative to the cut score, prevalence of the positive event, and cost ratio. Forty item responses were simulated for examinees of four sample distributions. In addition, the prevalence and cost ratio between false negatives and false positives were manipulated to examine their impacts on classification accuracy. The optimal cut score is identified using the Youden Index J. The results showed that the optimal cut score identified by the evaluation criterion tended to pull the cut score closer to the mode of the proficiency distribution. In addition, depending on the prevalence of the positive event and cost ratio, the optimal cut score shifts accordingly. With the item parameters used to simulate the data and the simulated sample distributions, it was found that when passing the exam is a low-prevalence event in the population, increasing the cut score operationally improves the classification; when passing the exam is a high-prevalence event, then cut score should be reduced to achieve optimality. As the cost ratio increases, the optimal cut score suggested by the evaluation criterion decreases. In three out of the four sample distributions examined in this study, increasing the cut score enhanced the classification, irrespective of the cost ratio when the prevalence in the population is 50%. This study provides statistical evidence when the cut score needs to be refined for policy reasons.

Body Mass Index Combined With Inflammatory Factors Can Better Predict Varicocele.

Most patients with VC have no symptoms, so they are often discovered due to male infertility. Early identification of them is a matter of concern for clinicians. A retrospective analysis of clinical data from patients between January 1, 2021, and February 1, 2024, was conducted. Patients were divided into VC and non-VC groups. Propensity score matching (PSM) was performed at a ratio of 1:1, and two cohorts with homogeneous baseline status were selected. Multivariate binary logistic regression and receiver operating characteristic (ROC) curve were used to analyze independent risk factors and protective factors and to evaluate their diagnostic value individually and in combination. A p-value <0.05 was considered statistically significant. A total of 256 patients with similar clinical characteristics were further analyzed after PSM in a 1:1 ratio of the 423 patients included in the study. The two groups had statistically significant differences in systemic immune-inflammation index (SII), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and body mass index (BMI) (p<0.05). Multivariate binary logistic regression analysis showed that SII and NLR were independent risk factors for VC, while high BMI could reduce the prevalence of VC. The PLR differences were not significant. The ROC analysis showed that BMI, SII, and NLR could predict VC, with areas under the curve of 68.3% (cut-off value 22.32), 83.4% (cut-off value 357.57), and 83.2% (cut-off value 1.8), respectively. The combination of BMI and inflammatory factors was more accurate for predicting VC than BMI alone (87.5% vs. 68.3%, p=0.0001), SII (87.5% vs. 83.4%, p=0.0106), and NLR (87.5% vs 83.2%, p=0.0058). Both SII and NLR are independent risk factors for VC while BMI is an independent protective factor. The BMI, SII, and NLR values have the potential to predict VC. The BMI combined with these inflammatory factors can improve the accuracy of prediction.

Abnormal resting-state functional connectivity of hippocampal subregions in type 2 diabetes mellitus-associated cognitive decline.

Type 2 diabetes mellitus (T2DM) over time predisposes to inflammatory responses and abnormalities in functional brain networks that damage learning, memory, or executive function. The hippocampus is a key region often reporting connectivity abnormalities in memory disorders. Here, we investigated peripheral inflammatory responses and resting-state functional connectivity (RSFC) changes characterized of hippocampal subregions in type 2 diabetes-associated cognitive decline (T2DACD). The study included 16 patients with T2DM, 16 patients with T2DACD and 25 healthy controls (HCs). Subjects were assessed for cognitive performance, tested for the expression of inflammatory factors IL-6, IL-10 and TNF-α in peripheral serum, underwent resting-state functional magnetic resonance imaging scans, and analyzed for RSFC using the hippocampal subregions as seeds. We also calculated the correlation between cognitive performance and RSFC of hippocampal subregion, and analyzed the significantly altered RSFC values of T2DACD for Receiver Operating Characteristic (ROC) analysis. T2DACD patients showed a decline in their ability to complete cognitive assessment scales and experimental paradigms, and T2DM did not show abnormal cognitive performance. IL-6 expression was increased in peripheral serum in both T2DACD and T2DM. Compared with HCs, T2DACD showed abnormalities RSFC of the left anterior hippocampus with left precentral gyrus and left angular gyrus. T2DM showed abnormalities RSFC of the left middle hippocampus with right medial frontal gyrus, right anterior and middle hippocampus with left precuneus, left anterior hippocampus with right precuneus and right posterior middle temporal gyrus. Compared with T2DM, T2DACD showed abnormalities RSFC of the left posterior hippocampus and right middle hippocampus with left precuneus. In addition, RSFC in the left posterior hippocampus with left precuneus of T2DACD was positively correlated with Flanker conflict response time (r=0.766, P=0.001). In the ROC analysis, the significantly altered RSFC values of T2DACD achieved significant performance. T2DACD showed a significant decrease in attentional inhibition and working memory, peripheral pro-inflammatory response increased, and abnormalities RSFC of the hippocampal subregions with default mode network and sensory-motor network. T2DM did not show a significant cognitive decline, but peripheral pro-inflammatory response increased and abnormalities RSFC of the hippocampus subregions occurred in the brain. In addition, the left precuneus may be a key brain region in the conversion of T2DM to T2DACD. The results of this study may provide a basis for the preliminary diagnosis of T2DACD.

The High-Sensitivity C-Reactive Protein to High-Density Lipoprotein Cholesterol Ratio and the Risk of Contrast-Induced Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Intervention.

The high-sensitivity C-reactive protein to high-density lipoprotein cholesterol ratio (CHR) is a novel biomarker associated with coronary artery disease (CAD) risk. This study aimed to analyze the relationship between CHR and contrast-induced acute kidney injury (CI-AKI). This retrospective cross-sectional research included 10,917 individuals who underwent PCI. CI-AKI was diagnosed using the Kidney Disease: Improving Global Outcomes (KIDIGO) standard. Univariate and multivariable logistic regression analyses were conducted to examine the association between CHR and CI-AKI, followed by a receiver operating characteristic (ROC) curve of participants to assess the clinical diagnostic performance of CHR on CI-AKI. A total of 1037 patients (9.50%) developed CI-AKI after PCI. The age of individuals averaged 64.1 ± 11.1 years old, with 2511 females (23.0%). A multivariate logistic regression study revealed that higher CHR levels were linked to higher CI-AKI incidence rates ([Q4 vs. Q1]: odds ratio (OR) = 1.89, 95% confidence interval (CI) [1.42 to 2.54], p < 0.001). A restricted cubic spline analysis revealed a linear association between CHR and CI-AKI. ROC analysis indicated that CHR was an excellent predictor of CI-AKI (area under ROC curve = 0.606, 95% CI [0.588 to 0.624]). A high CHR level is strongly associated with increased CI-AKI incidence, suggesting that CHR may be an independent risk factor for CI-AKI. NCT05050877. https://clinicaltrials.gov/study/NCT05050877?tab=results.

Primary Sjogren's Syndrome Associated with Lung Adenocarcinoma: Probing the Potential Common Pathogenic Mechanisms and Experimental Verification.

This study aimed to probe the potential common pathogenic mechanisms linking primary Sjogren's syndrome (pSS) and lung adenocarcinoma (LUAD) through bioinformatics analysis and experimental verification. The relevant genes associated with pSS and LUAD were retrieved from the Gene Expression Omnibus (GEO) database and Genecard database. Subsequently, differentially expressed genes (DEGs) associated with pSS and LUAD were screened as pSS-LUAD-DEGs. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses were performed to elucidate the significant biological functions of pSS-LUAD-DEGs. Core targets were identified by constructing the protein-protein interaction (PPI) network, further assessing hub gene diagnostic accuracy through Receiver Operating Characteristic (ROC) curve analyses. In this study, NOD/Ltj mice served as pSS animal models and were stimulated with particulate matter 2.5 (PM2.5) to generate an inflammatory reaction. Quantitative real-time polymerase chain reaction (qPCR), enzyme-linked immunosorbent assay (ELISA), and western blotting were employed for relevant molecular biology experiment verification. The results revealed through KEGG and GO enrichment analyses indicate that inflammation plays a critical role in linking pSS and LUAD. IL6, CCNA2, JAK2, IL1B, ASPM, CCNB2, NUSAP1, and CEP55 were determined as key targets of pSS-LUAD. BALB/c mice and NOD/Ltj mice exhibited enhanced expression of inflammatory cytokines IL-6 and IL-1β in lung tissues following 21 days of stimulation with PM2.5, activating the JAK2/STAT3 signaling pathway and up-regulating the expression of tumor-associated genes CCNA2, CCNB2, and CEP55, with NOD/Ltj mice exhibiting more pronounced changes than BALB/c mice. This protocol demonstrates that carcinogenesis induced by the pulmonary inflammatory microenvironment may be a key reason for the high incidence of LUAD in pSS patients. Additionally, blocking-related mechanisms may help prevent the occurrence of LUAD in pSS patients.