Characteristic Analysis Research Articles

SPINK1 is a Potential Diagnostic and Prognostic Biomarker for Sepsis.

There are no satisfactory diagnostic biomarkers for sepsis. Accordingly, this study screened biomarkers valuable for sepsis diagnosis and prognosis using data-independent acquisition (DIA) combined with clinical data analysis. Serine protease inhibitor Kazal-type 1 (SPINK1) is a differentially expressed protein that was screened using DIA and bioinformatics in sepsis patients (n = 22) and healthy controls (n = 10). The plasma SPINK1 levels were detected using an enzyme-linked immunosorbent assay (ELISA) in an expanded population (sepsis patients, n = 52; healthy controls, n = 10). The diagnostic value of SPINK1 in sepsis was evaluated using receiver operating characteristic (ROC) curve analysis based on clinical data. The prognostic value of SPINK1 for sepsis was evaluated using correlation and survival analyses. DIA quality control identified 78 differential proteins (72 upregulated and six downregulated), among which SPINK1 was highly expressed in sepsis. The ELISA results suggested that SPINK1 expression was significantly elevated in the sepsis group (P < 0.05). ROC analysis of SPINK1 yielded an area under the curve (AUC) of 0.9096. Combining SPINK1 with procalcitonin (PCT) for ROC analysis yielded an AUC of 1. SPINK1 expression was positively correlated with the Sequential Organ Failure Assessment (SOFA) score (r = 3497, P = 0.0053) and APACHE II score (r = 3223, P = 0.0106). High plasma SPINK1 protein expression was negatively correlated with the 28-day survival rate of patients with sepsis (P = 0.0149). The plasma of sepsis patients contained increased SPINK1 protein expression. Combining SPINK1 with PCT might have a high diagnostic value for sepsis. SPINK1 was associated with the SOFA score, APACHE II score, and the 28-day survival rate in patients with sepsis.

The role of baseline 2-[18 F]-FDG-PET/CT metrics and radiomics features in predicting primary gastric lymphoma diagnosis.

Diffuse Large B-Cell Lymphomas (DLCBL) and mucosa-associated lymphoid tissue (MALT) are the two most common primary gastric lymphomas (PGLs), but have strongly different features. DLBCL is more aggressive, is frequently diagnosed at an advanced stage and has a poorer prognosis. The aim of this retrospective study was to explore the role of fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (2-[18 F]-FDG-PET/CT) and radiomics features (RFs) in predicting the final diagnosis of patients with PGLs. Ninety-one patients with newly diagnosed PGLs who underwent pre-treatment 2-[18 F]-FDG-PET/CT were included. PET images were qualitatively and semi-quantitatively analyzed by deriving maximum standardized uptake value body weight (SUVbw), maximum standardized uptake value lean body mass (SUVlbm), maximum standardized uptake value body surface area (SUVbsa), lesion to liver SUVmax ratio (L-L SUV R), lesion to blood-pool SUVmax ratio (L-BP SUV R), metabolic tumor volume (gMTV) and total lesion glycolysis of gastric lesion (gTLG), total MTV (tMTV), TLG, and first-order RFs (histogram-related and shape related). Receiver-operating characteristic (ROC) curve analyses were performed to determine the differential diagnostic values of PET parameters. The final diagnosis was DLBCL in 54 (59%) cases and MALT in 37 cases (41%). PGLs showed FDG avidity in 83 cases (90%), 54/54 of DLBCL and 29/37 of MALT. All PET/CT metabolic features, such as stage of disease and tumor size, were significantly higher in DLBCL than MALT; while the presence of H. Pylori infection was more common in MALT. At univariate analysis, all PET/CT metrics were significantly higher in DLBCL than MALT lymphomas, while among RFs only Shape volume_vx and Shape sphericity showed a significant difference between the two groups. In conclusion we demonstrated that 2-[18 F]-FDG-PET/CT parameters can potentially discriminate between DLBCL and MALT lymphomas with high accuracy. Among first-order RFs, only Shape volume_vx and Shape sphericity helped in the differential diagnosis.

Optimal index for detecting splenic involvement on 18F-fluorodeoxyglucose positron emission tomography/computed tomography imaging in diffuse large B-cell lymphoma.

Accurate clinical staging is important in diffuse large B-cell lymphoma (DLBCL) to adapt to optimal therapy. Splenic involvement of DLBCL has been recently more detectable with the advancement of a diagnostic scan by 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT). Our clinical question is whether splenic involvement was adequately diagnosed by FDG-PET/CT imaging. This retrospective study aimed to determine the optimal index for evaluating splenic involvement in patients with DLBCL. Patients with newly diagnosed DLBCL who were examined with FDG-PET/CT at diagnosis and the end of induction chemotherapy (EOI) was enrolled. The splenic involvement with the splenic FDG uptake value higher than that of the liver at diagnosis or with the decrease of splenic uptake at EOI by visual evaluation was evaluated as positive. The calculative evaluation of splenic involvement, based on the data of standardized uptake value (SUV) of the spleen, used maximum SUV (SUVmax), mean SUV (SUVmean), spleen total lesion glycolysis (spleen TLG), and spleen length. A change in each index following induction chemotherapy was expressed as an index. Receiver operating characteristic analysis was used to set the cutoff value for each index. This study included 52 patients. Spleen TLG (0.904) showed the best accuracy, followed by SUVmax (0.885) and SUVmean (0.885), among the 5 indexes for splenic involvement at diagnosis. Splenic involvement was predicted with a higher accuracy level (0.923) when selecting the cases with values higher than the cutoff level on both spleen TLG and SUVmax. The decision at EOI was more suitable by selecting both positive cases of ∆ TLG and ∆ SUVmax. Obtaining both the positive spleen TLG and SUVmax is recommended at diagnosis to predict splenic involvement. The assessment by ∆ spleen TLG and ∆ SUVmax seems to be optimal.

Serum proteome analysis identifies a potential biomarker for axial psoriatic arthritis

BackgroundTo identify potential serum biomarkers for differentiating between axial psoriatic arthritis (axPsA) and peripheral psoriatic arthritis (pPsA).MethodsSerum samples were collected from patients with PsA to create a biomarker discovery cohort and a verification cohort. Patients with PsA were classified into axial or peripheral subtypes based on imaging criteria. Untargeted proteomics technology was used in the discovery phase to screen for biomarkers, and candidate biomarkers were evaluated using enzyme-linked immunosorbent assay (ELISA) in the verification phase.ResultsWe identified 45 significantly differentially expressed proteins (DEPs) between axPsA (n = 20) and pPsA (n = 20) with liquid chromatography-mass spectrometry. Among these DEPs, serum pigment epithelium-derived factor (PEDF) was identified as a candidate biomarker using the Boruta algorithm and lasso regression. Results of ELISA further confirmed that the level of serum PEDF expression was significantly higher in axPsA (n = 37) than in pPsA (n = 51) at the verification cohort (37.9 ± 10.1 vs. 30.5 ± 8.9 μg/mL, p < 0.001). Receiver operating characteristics analysis showed that PEDF had an area under the curve (AUC) of 0.72. Serum PEDF was positively correlated with body mass index and C-reactive protein. Additionally, there was a tendency towards a positive correlation between PEDF and the Bath Ankylosing Spondylitis Disease Activity Index.ConclusionsThis study provided a comprehensive characterization of the proteome in axPsA and pPsA and identified a candidate biomarker, PEDF, that may contribute to early diagnosis for axPsA.

Development of a Nomogram Using the Inflammatory Risk Score for Prognostication in Moderate and Advanced Hepatocellular Carcinoma Associated with Hepatitis B Virus.

The changes in risk scores of inflammatory markers among patients diagnosed with hepatocellular carcinoma (HCC) remain unknown. To investigate the relationship between the inflammation risk score and other contributing factors and the prognostic outcomes in patients with moderate and advanced hepatitis B virus (HBV)-related HCC. A retrospective cohort study. A total of 174 patients with moderate and advanced HBV related HCC were recruited to investigate the impact of stratified inflammatory risk scores and other associated risk factors on disease prognosis. Based on the optimal cut-off values calculated by the Youden index, the patients were divided into high-risk and low-risk groups based on their inflammation risk scores. The study found a significant difference in median survival time between the low-risk and high-risk groups based on the inflammation risk score. Furthermore, the inflammation risk score, alpha-fetoprotein levels, transarterial chemoembolization treatment, and Barcelona Clinic Liver Cancer stage were identified as independent prognostic factors. The four variables were used to construct a prognostic nomogram for HCC. Subsequent evaluations using time-dependent receiver operating characteristic analysis and calibration curve tests revealed the nomogram's commendable discriminatory ability. As a result, the nomogram proved to be an effective tool for predicting survival at 2- to 4-years. The inflammation risk score has been identified as a significant prognostic factor for HBV-related HCC. The development of nomogram models has provided a practical and effective tool for determining the prognosis of patients affected by HBV-related HCC.

Surface hydrodynamic characteristic analysis of underwater robots applied to perception of lateral lines

Inspired by the hydrodynamic perception abilities based on lateral lines on fish surfaces, the artificial lateral lines (ALLs) based on pressure and flow sensors were proposed by the researchers. As the ALLs are widely used in underwater robots, the mechanisms of lateral line perception are urgently needed to be studied. Based on the lattice Boltzmann method, immersion boundary method, and large eddy simulation, a three-dimensional numerical model of underwater robot motion is established and verified. The distribution and variation of velocity and surface pressure on robots with different shapes under different flow fields are studied in detail. It is found that the robots with the upstream surface curvature aspect ratio of 1:1 are more suitable for placing ALLs. Then, similarly, the hydrodynamic perception abilities of robots with different sizes are further investigated. It was observed that the smaller the robot size, the better the perception ability. In addition, sensing devices are more suitable for placement on the upstream surface of the robots. These conclusions can also explain the physiological characteristics of cavefish with well-developed lateral lines in nature. Finally, based on the above analysis, to guide the shape design and sensor layout of the robots, an evaluation index for the perception ability of the robot is proposed. The reliability of the evaluation index is verified by using a machine learning method based on polynomial regression to predict the flow field. The R-square of machine learning can reach 0.99 at the upstream surface of the robot.

Texture analysis of 18F-FDG PET/CT and CECT: Prediction of refractoriness of Hodgkin lymphoma with mediastinal bulk involvement.

To recognize patients at high risk of refractory disease, the identification of novel prognostic parameters improving stratification of newly diagnosed Hodgkin Lymphoma (HL) is still needed. This study investigates the potential value of metabolic and texture features, extracted from baseline 18F-FDG Positron Emission Tomography/Computed Tomography (PET) and Contrast-Enhanced Computed Tomography scan (CECT), together with clinical data, in predicting first-line therapy refractoriness (R) of classical HL (cHL) with mediastinal bulk involvement. We reviewed 69 cHL patients who underwent staging PET and CECT. Lesion segmentation and texture parameter extraction were performed using the freeware software LIFEx 6.3. The prognostic significance of clinical and imaging features was evaluated in relation to the development of refractory disease. Receiver operating characteristic curve, Cox proportional hazard regression and Kaplan-Meier analyses were performed to examine the potential independent predictors and to evaluate their prognostic value. Among clinical characteristics, only stage according to the German Hodgkin Group (GHSG) classification system significantly differed between R and not-R. Among CECT variables, only parameters derived from second order matrices (gray-level co-occurrence matrix (GLCM) and gray-level run length matrix (GLRLM) demonstrated significant prognostic power. Among PET variables, SUVmean, several variables derived from first (histograms, shape), and second order analyses (GLCM, GLRLM, NGLDM) exhibited significant predictive power. Such variables obtained accuracies greater than 70% at receiver operating characteristic analysis and their PFS curves resulted statistically significant in predicting refractoriness. At multivariate analysis, only HISTO_EntropyPET extracted from PET (HISTO_EntropyPET ) and GHSG stage resulted as significant independent predictors. Their combination identified 4 patient groups with significantly different PFS curves, with worst prognosis in patients with higher HISTO_EntropyPET values, regardless of the stage. Imaging radiomics may provide a reference for prognostic evaluation of patients with mediastinal bulky cHL. The best prognostic value in the prediction of R versus not-R disease was reached by combining HISTO_EntropyPET with GHSG stage.

Preparation Optimization and Immunological Activity Studies of Portulaca oleracea L. Polysaccharides Liposomes.

This study combines traditional Chinese medicine polysaccharides with nanomaterials to enhance drug bioavailability and immunological activity. The study of polysaccharide preparation, structure identification, pharmacological activity, and mechanism of action is deepening, but the research combined with the new drug delivery system is relatively weak, so the application of polysaccharides is still facing great limitations. In order to prolong the action time of polysaccharides and improve their bioavailability, liposome has become the most promising delivery carrier. The purpose of this study was to optimize the preparation process of Portulaca oleracea L. polysaccharides liposomes (POL-PL) and evaluate the immunoactivity in vitro. POL-PL was prepared by reverse evaporation, and the preparation process was optimized using the response surface methodology. The characteristic analysis of POL-PL was detected by the indicators including morphology, particle size, zeta potential, encapsulation efficiency, release, and stability. The effects of POL-PL on the proliferation and immunological activity of mouse spleen lymphocytes and RAW264.7 cells were evaluated in vitro. POL-PL is highly homogeneous in morphology and particle size, and its sustained release improves the bioavailability of Portulaca oleracea L. polysaccharides (POL-P). Moreover, POL-PL treatment significantly enhanced the proliferation and phagocytic activity of RAW264.7 cells and increased the secretion of IL-6, TNF-α, IL-1β, and NO. This study suggested that POL-PL were prepared successfully by reverse evaporation method, and POL-PL had immunoenhancing activity in vitro. The results provided a theoretical basis for further application of POL-PL.

Prognostic value of PRR11 and immune cell infiltration in Ewing sarcoma.

Ewing's sarcoma (ES) is the second most common bone and soft tissue malignancy in children and adolescents with a poor prognosis. The identification of genes with prognostic value may contribute to the prediction and treatment of this disease. The GSE17679, GSE68776, GSE63155, and GSE63156 datasets were downloaded from the Gene Expression Omnibus database and qualified. Prognostic value of differentially expressed genes (DEGs) between the normal and tumor groups and immune cell infiltration were explored by several algorithms. A prognostic model was established and validated. Finally, functional analyses of the DEGs were performed. Proline rich 11 (PRR11) and mast cell infiltration were noted as the key indicators for the prognosis of ES. Kaplan-Meier and scatter plots for the training and two validation sets showed that patients in the low-PRR11 expression group were associated with better outcomes than those in the high-PRR11 expression group. The concordance indices and calibration analyses of the prognostic model indicated good predictive accuracy in the training and validation sets. The area under the curve values obtained through the receiver operating characteristic analysis for 1-, 3-, 5-year prediction were ≥ 0.75 in the three cohorts, suggesting satisfactory sensitivity and specificity of the model. Decision curve analyses suggested that patients could benefit more from the model than the other strategies. Functional analyses suggested that DEGs were mainly clustered in the cell cycle pathway. PRR11 and mast cell infiltration are potential prognostic indicators in ES. PRR11 possibly affects the prognosis of patients with ES through the cell cycle pathway.

Effect of a metal artifact reduction algorithm on dehiscence and fenestration detection around zirconia implants with cone beam computed tomography

ObjectiveTo assess the efficacy of the metal artifact reduction algorithm (MARA) of the Cranex 3D cone beam computed tomography (CBCT) device in the detection of peri-implant dehiscence and fenestration around zirconia implants. Study designIn total, 60 implants were placed in bovine ribs. Dehiscence and fenestration defects were created around the implants, after which 60 CBCT images were obtained with and 60 without activation of MARA. Three radiologists examined the images for the presence of defects. The area under the curve (AUC) from receiver operating characteristic analysis, sensitivity, and specificity were calculated to assess the ability to discriminate the presence vs. absence of bone defects. One-way analysis of variance was employed to analyze outcomes measures. The significance level was established at 5% (α = 0.05). ResultsAUC values indicated excellent discrimination of dehiscence on images with MARA activation and an excellent to outstanding range of discrimination with MARA deactivation. For fenestration, MARA activation and deactivation both led to outstanding discrimination. Sensitivity and specificity values revealed that activation of MARA was helpful in distinguishing the presence vs. absence of dehiscence, while both MARA conditions were helpful for fenestration. However, there were no statistically significant differences between MARA activation and deactivation for any outcome measure (P>0.05). ConclusionCBCT is suitable for detecting peri-implant defects, but MARA application does not significantly affect peri-implant dehiscence and fenestration detection. Statement of Clinical RelevanceEarly diagnosis of defects in cortical bone around zirconia dental implants is important for maintaining function and aesthetics. Cone beam computed tomography is suitable for detecting peri-implant defects, but metal artifact reduction algorithms do not significantly affect diagnostic outcomes.

Aerodynamics and surrounding flow patterns of a long-span bridge girder model with triple-separated boxes

The triple-box girder is finding broader applications in super long-span bridges for its excellent performance of flutter stability and traffic adaptability. In the present study, a bridge girder model with three separated boxes is experimentally investigated in detail via wind tunnel tests. In consideration of web modifications and accessory structures, the multi-point surface-pressure measurement and smoke-wire flow visualization are applied to investigate the aerostatic characteristics and flow structures. The “dual-frequency” phenomenon is found and explained for the bare girder with curved webs. For the present girder with linear webs, the global field is dominated by the separated-shear-layer instability. For the bare girder with curved webs, the upstream gap flow is dominated by the separated-shear-layer instability while the downstream gap flow is dominated by the double-shear-layer instability. The downstream gap flow exhibits obvious intermittent characteristics. In addition, non-Gaussian characteristic analysis of the surface wind pressures is introduced and improved for engineering practice. The distinguishing principle based on the skewness and kurtosis has high adaptability to both the bare girder and the completed bridge. In addition, semi-linear webs show better drag reduction. Combinations of accessory structures are also studied. The results show that during the construction process, prioritizing the installation of highway wind barriers can optimize the aerostatic performance of bridges. The present study embraces the booming era of long-span bridges with a triple-box girder and enriches the studies of bridge aerostatics.

Multiparametric evaluation of mediastinal lymph node metastases in clinical T0-T1c stage non-small-cell lung cancers.

This study aimed to determine the predictive factors of lymph node metastases in clinical T0-T1c stage non-small-cell lung cancers, so as to help making surgical strategy. From January 2016 to December 2017, patients with clinical T0-T1c stage non-small-cell lung cancers were retrospectively reviewed. We elucidated the lymph node metastatic incidence and distribution according to the primary tumour radiographic findings and maximal standard uptake values, and extracted the associated clinicopathological factors. Univariable and multivariable logistic regressions were used to identify independent predictive parameters for lymph node metastases. The performance of predictive model was evaluated using receiver operating characteristic analysis. A total of 517 patients were included. Seventy-two patients had lymph node metastases. Among patients with pure ground-glass nodule and solid component size ≤10 mm, none had any lymph node metastasis. Multivariable logistic regression analysis demonstrated that age, carcinoembryonic antigen level, solid component size, consolidation-tumour ratio and tumour maximal standard uptake values were independent predictors of lymph nodal metastases. Receiver operating characteristic analyses indicated that the area under the curve of predictive model in evaluating lymph node metastases was 0.838 (95% CI 0.791-0.886). Younger age, elevated carcinoembryonic antigen level, larger solid component size, higher consolidation-tumour ratio and tumour maximal standard uptake values were associated with lymph node involvement. Employing such a predictive model in the future may affect the surgical option of lymph node excision for patients in cT1 stage non-small-cell lung cancer.

Retrospective Analysis of Clinical Characteristics and Outcomes of Pregnant Women with SARS-CoV-2 Infections Admitted to Intensive Care Units in India (Preg-CoV): A Multicenter Study.

The aim was to examine the outcomes of pregnant women admitted to intensive care unit with coronavirus disease-2019 (COVID-19) infection during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in India. The primary outcome of the study was maternal mortality at day 30. The secondary outcomes were the intensive care unit (ICU) and hospital length of stay, fetal mortality and preterm delivery. This was a retrospective multicentric cohort study. Ethical clearance was obtained. All pregnant women of the 15-45-year age admitted to ICUs with SARS-CoV-2 infection during 1st March 2020 to 31st October, 2021 were included. Data were collected from nine centers and for 211 obstetric patients admitted to the ICU with a confirmed diagnosis of COVID-19. They were divided in to two groups as per their SpO2 (saturation of peripheral oxygen) level at admission on room air, that is, normal SpO2 group (SpO2 > 90%) and low SpO2 group (SpO2 < 90%). The mean age was (30.06 ± 4.25) years and the gestational age was 36 ± 8 weeks. The maternal mortality rate was10.53%. The rate of fetal death and preterm delivery was 7.17 and 28.22%, respectively. The average ICU and hospital length of stay (LOS) were 6.35 ± 8.56 and 6.78 ± 6.04 days, respectively. The maternal mortality (6.21 vs 43.48%, p < 0.001), preterm delivery (26.55 vs 52.17%, p = 0.011) and fetal death (5.08 vs 26.09%, p = 0.003) were significantly higher in the low SpO2 group. The overall maternal mortality among critically ill pregnant women affected with COVID-19 infection was 10.53%. The rate of preterm birth and fetal death were 28.22 and 7.17%, respectively. These adverse maternal and fetal outcomes were significantly higher in those admitted with low SpO2 (<90%) at admission compared with those with normal SpO2. Sinha S, Paul G, Shah BA, Karmata T, Paliwal N, Dobariya J, et al. Retrospective Analysis of Clinical Characteristics and Outcomes of Pregnant Women with SARS-CoV-2 Infections Admitted to Intensive Care Units in India (Preg-CoV): A Multicenter Study. Indian J Crit Care Med 2024;28(3):265-272.

A case study on transformer ferroresonance for subsea cable connected 230 kV substations using PSCAD

This research paper presents a comprehensive procedure on how to perform a ferroresonance study in a system dealing with the addition of subsea cable interconnector-2 between two 230 kV substations which is previously linked by subsea cable interconnector-1. Addition of a subsea cable interconnector-2 needs to be investigated for ferroresonance in planning and designing stages itself since the interaction between cable capacitive reactance and power transformers-magnetizing core which is a non-linear inductance may cause ferroresonance. The investigation is conducted in three stages namely energisation, de-energisation and stuck pole conditions of circuit breaker. Each stage concentrates on the overvoltage patterns as ferroresonance is characterized by overvoltage. The analysis is conducted in PSCAD/EMTDC software and the modelling of entire study network is done according to the CIGRE WG C4.307. The maximum overvoltage for each stage is found by performing 200 cases of statistical simulation and it is compared with the rated withstand voltage of the equipment. Through a rigorous analysis of overvoltage characteristics under different scenarios, suggestion has been given whether the subsea cable interconnector-2 can be safely operated during the studied cases without the risk of ferroresonance.

Analysis of Vehicle-Bridge Coupling Vibration Characteristics of Curved Girder Bridges

When vehicles move on a bridge, the coupling effect between vehicles and bridges can affect driving safety and comfort, especially for curved bridges, therefore, choosing reasonable design parameters for curved bridges is crucial. In this article, a three-span curved continuous box-girder bridge was taken as the research object; the entire process of vehicle-bridge coupling vibration of highway curved girder bridges was conducted via numerical simulation and the vehicle-bridge coupling vibration analysis program Cmck 1.0 was developed. Then, the influence factors such as curvature radius, constraint mode, and vehicle characteristics on the vehicle-bridge coupling vibration of curved girder bridges were explored. The results showed that as the curvature radius increased, the dynamic response of the bridge offered a gradually decreasing trend and compared to the vertical dynamic response, the torsional response was more sensitive to the influence of the curvature radius. Different constraint methods significantly impacted the dynamic response of bridges, and the vertical and torsional dynamic responses of bridges under general constraint arrangement of straight bridges were increased compared to those under boundary conditions for curved beam bridges. As the axle load of the car decreases, the bridge mid-span vertical and torsional dynamic responses showed a decreasing trend. In contrast, the lateral dynamic response gradually increased.

Translation and cross-cultural adaptation of Polish version of Neuropathic Pain Questionnaire (NPQ-PL) and its comparisons with different questionnaires.

The aim of this study was to assess the validity and reliability of the Polish version of the Neuropathic Pain Questionnaire (NPQ-PL), and to compare it to other diagnostic tools. Neuropathic pain is a burdensome condition, of which the exact prevalence is difficult to estimate. During initial screening, pain questionnaires are helpful in alerting clinicians about the need for further evaluation. The NPQ-PL has been developed following the guidelines for translation and cultural adaptation. A total of 140 patients with chronic pain (ChP), 90 with neuropathic pain (NP), and 50 with nociceptive pain (NoP), were enrolled into this study. The study group consisted of 60.71% women and 39.29% men; the mean age of patients (standard deviation, SD) was 53.22 years (15.81), and the average NPQ-PL score (SD) was 0.49 (1.27). Statistically significant relationships were found between higher age distribution and greater pain intensity in the NP group compared to the NoP group. There were also significant differences in pain levels between people of different ages, with the predominance in the elderly. Cronbach's alpha coefficient of the whole questionnaire was 0.85 and the intraclass correlation coefficient (ICC) for test-retest reliability was 0.635. Using receiver-operating characteristic (ROC) curve analysis, the area under the curve (AUC) was 0.97 and the best cut-off value was 0.002, which resulted in the highest sensitivity (93.3%) and specificity (96.0%). The NPQ-PL is a valid tool for discriminating between neuropathic and nociceptive pain. It can be used by physicians of various disciplines when assessing patients with ChP of various origins.

EXPLORING THE ROLE OF sFRP-4, TFF-3, NF-кB AND ROMO1 LEVELS IN COLORECTAL CANCER: IMPLICATIONS FOR PATHOPHYSIOLOGY AND DISEASE PROGRESSION

Objective: Colorectal cancer (CRC) is a significant global health concern with high morbidity and mortality rates. Early detection and accurate diagnostic tools are critical for managing the clinical course. This research explores the molecular landscape of CRC, aiming to provide valuable insights beyond traditional diagnostic approaches. The main aim of this study was to investigate the potential contribution of specific biomarkers, such as secreted frizzled associated protein-4 (sFRP-4), trefoil factor-3 (TFF-3), nuclear factor-kappa-B (NF-κB) and reactive oxygen species modulator-1 (Romo1), to understanding the pathophysiology and determining the progression of CRC.&#x0D; Methods: This study analyzed plasma levels of sFRP-4, TFF-3, NF-κB and Romo1 in a cohort of patients with CRC (n=50) and age- and gender-matched control group (n=40), utilizing ELISA. The diagnostic performance of these biomarkers was assessed through Receiver Operating Characteristic (ROC) analysis.&#x0D; Results: Our research revealed a significant increase in the levels of NF-κB, TFF-3 and Romo1 in patients with a diagnosis of CRC. Furthermore, these parameters were found to maintain elevated levels in patients with tumors larger than 4 cm as opposed to those with smaller tumors. Patients with metastases also had elevated levels of the three parameters compared with patients without metastases. The ROC analysis revealed that NF-κB showed the most promise as a parameter for distinguishing patients from control subjects, whereas TFF-3 displayed the most potential in identifying tumor size and the presence of metastasis.&#x0D; Conclusion: This research contributes valuable insights into understanding the pathophysiology and progression of CRC. The potential roles of NF-κB, TFF-3, and Romo1 as biomarkers, as revealed in our study, offer a promising avenue for early detection and improved management of CRC. Further validation and prospective studies are necessary to clarify the roles of these biomarkers in the pathophysiological mechanism of CRC and to establish their clinical utility.

The relationship between the Hopkins symptom checklist-10 and diagnoses of anxiety and depression among inpatients with substance use disorders

Introduction The Hopkins Symptom Checklist-10 (HSCL-10) is a self-report inventory of anxiety and depression symptoms that may assist clinicians in screening for clinical conditions among patients with substance use disorder (SUD). We examined the HSCL-10 as a screening tool for anxiety and depressive disorders within a general population of SUD inpatients. Methods We used data from a cohort study of 611 SUD inpatients. Receiver operating characteristic (ROC) analyses were conducted, with and without covariates, to evaluate the potential of the HSCL-10 as a screening tool. This was explored using any anxiety disorder, especially posttraumatic stress disorder (PTSD), and any mood disorder, especially major depressive disorders, as the outcome criteria. Candidate covariates included gender, age, education, polydrug use and treatment center. Results: The HSCL-10 had a moderate ability to identify caseness (i.e. having or not having a clinical diagnosis) according to each outcome criterion, with the area under the ROC curve (AUC) varying from 0.64 to 0.66. Adding relevant covariates markedly enhanced the instrument’s ability to identify those who met the criteria for any anxiety disorder (AUC = 0.77), especially PTSD (AUC = 0.82). Conclusion In a real-world clinical setting, the HSCL-10 has fair-to-good clinical utility for identifying SUD inpatients who have comorbid clinical symptoms of anxiety disorders or PTSD, when combined with common background variables. The HSCL-10, a brief self-report screening tool, may serve as an efficient proxy for comprehensive interviews used in research and for clinical anxiety symptom screening among patients with SUD.

Pen-Based Swine Oral Fluid Samples Contain Both Environmental and Pig-Derived Targets.

Laboratory methods for detecting specific pathogens in oral fluids are widely reported, but there is little research on the oral fluid sampling process itself. In this study, a fluorescent tracer (diluted red food coloring) was used to test the transfer of a target directly from pigs or indirectly from the environment to pen-based oral fluid samples. Pens of ~30, ~60, and ~125 14-week-old pigs (32 pens/size) on commercial swine farms received one of two treatments: (1) pig exposure, i.e., ~3.5 mL of tracer solution sprayed into the mouth of 10% of the pigs in the pen; (2) environmental exposure, i.e., 20 mL of tracer solution was poured on the floor in the center of the pen. Oral fluids collected one day prior to treatment (baseline fluorescence control) and immediately after treatment were tested for fluorescence. Data were evaluated by receiver operating characteristic (ROC) analysis, with Youden's J statistic used to set a threshold. Pretreatment oral fluid samples with fluorescence responses above the ROC threshold were removed from further analysis (7 of 96 samples). Based on the ROC analyses, oral fluid samples from 78 of 89 pens (87.6%), contained red food coloring, including 43 of 47 (91.5%) pens receiving pig exposure and 35 of 42 (83.3%) pens receiving environmental exposure. Thus, oral fluid samples contain both pig-derived and environmental targets. This methodology provides a safe and quantifiable method to evaluate oral fluid sampling vis-à-vis pen behavior, pen size, sampling protocol, and target distribution in the pen.

Value of high‑risk human papillomavirus detection combined with colposcopy in the diagnosis of cervical cancer and precancerous lesions.

In the present study, the diagnostic value of high risk-human papillomavirus (HR-HPV) combined with colposcopy for the detection of cervical cancer and precancerous lesions was evaluated. A total of 397 patients with confirmed cervical disease were enrolled between August 2020 and December 2021. According to the pathological diagnosis, the patients were divided into cervical intraepithelial neoplasia grade I (CIN I; n=153 cases), CIN II (n=101 cases), CIN III (n=86 cases) and cervical cancer (n=57 cases) groups. The HR-HPV-positive rate of the patients with different lesion types was compared, and the consistency of colposcopy and pathological examination results were assessed. For cervical cancer and precancerous lesions, the diagnostic value and efficacy of HR-HPV testing, colposcopy and combined HR-HPV testing and colposcopy examination were compared using pathological examination results as the gold standard. The results of the present study demonstrated that in patients with cervical cancer, the positive rate of HR-HPV (100.00%; n=57/57) was higher than that in patients with precancerous lesions, and the positive rate of HR-HPV in patients with CIN I type (36.60%, n=56/153) was lower than that in patients with CIN II (83.17%, n=84/101) and CIN III (82.56%, n=71/86) types (P<0.05). There was no significant difference in the HR-HPV-positive rate between patients with CIN II and CIN III (P>0.05). Cohen's κ coefficient for colposcopy examination and pathological examination of patients with cervical cancer and precancerous lesions was 0.622, the diagnostic accuracy was 90.43% (n=359/397), the positive predictive value was 65.57% (n=40/61), and the negative predictive value was 94.94% (n=319/336). Receiver operating characteristic curve analysis demonstrated that the area under the curve of the combined examination in the diagnosis of cervical cancer and precancerous lesions was 0.904, which was higher than that of colposcopy (0.820) or HR-HPV testing (0.802) alone (P<0.05). The results of the present study indicated that HR-HPV detection combined with colposcopy has diagnostic value for cervical cancer and precancerous lesions.