Spearman Correlation Research Articles

Predictive values and correlation of CRIB Score II and perfusion index in assessment of severity of illness in sick preterm neonates: An observational study.

Perfusion index (PI) and CRIB (Clinical risk index of babies) Score II both are minimally invasive tools for prediction of mortality and morbidity in sick neonates. This study aims to know the predictive values of both PI and CRIB Score II in assessment of severity of illness in preterm neonates of 28 to 32 weeks and their correlation. PI and CRIB II Score of 125 sick preterm neonates admitted in NICU were assessed within 12 hours of admission. Severity noted in form of outcome. Correlation between PI and CRIB Score II were observed. Receiver operating characteristic (ROC) curve were plotted for PI and CIRB Score II with outcome (discharged vs expired). Area under curve for perfusion index was 0.776 at 95% confidence interval. Optimum cutoff point based on ROC curve was 1.65 with sensitivity of 84%., specificity of 37.2% with positive predictive value of 70% and negative predictive value of 57%. Area under curve for CRIB Score II was 0.622 (p value < 0.028), optimum cut off point based on ROC curve for CRIB II score was 3.5 with sensitivity 79.10% of specificity of 40% positive predictive value is 43.03% and negative predictive value of 76.9%. Spearman's correlation coefficient between PI and CRIB II score was -0.272 and p value is 0.002. This study concluded that perfusion index (p < 0.001) is better for predicting the severity compared to CRIB II score (p < 0.028). A weak negative correlation exists between PI and CRIB II score (r = -0.272).

The Association between Gut Microbiota and Serum Biomarkers in Children with Atopic Dermatitis.

Background. Currently, it is known that the gut microbiota plays an important role in the functioning of the immune system, and a rebalancing of the bacterial community can arouse complex immune reactions and lead to immune-mediated responses in an organism, in particular, the development of atopic dermatitis (AD). Cytokines and chemokines are regulators of the innate and adaptive immune response and represent the most important biomarkers of the immune system. It is known that changes in cytokine profiles are a hallmark of many diseases, including atopy. However, it remains unclear how the bacterial imbalance disrupts the function of the immune response in AD. Objectives. We attempted to determine the role of gut bacteria in modulating cytokine pathways and their role in atopic inflammation. Methods. We sequenced the 16S rRNA gene from 50 stool samples of children aged 3-12 years who had confirmed atopic dermatitis, and 50 samples from healthy children to serve as a control group. To evaluate the immune status, we conducted a multiplex immunofluorescence assay and measured the levels of 41 cytokines and chemokines in the serum of all participants. Results. To find out whether changes in the composition of the gut microbiota were significantly associated with changes in the level of inflammatory cytokines, a correlation was calculated between each pair of bacterial family and cytokine. In the AD group, 191 correlations were significant (Spearman's correlation coefficient, p ≤ 0.05), 85 of which were positive and 106 which were negative. Conclusions. It has been demonstrated that intestinal dysbiosis is associated with alterations in cytokine profiles, specifically an increase in proinflammatory cytokine concentrations. This may indicate a systemic impact of these conditions, leading to an imbalance in the immune system's response to the Th2 type. As a result, atopic conditions may develop. Additionally, a correlation between known AD biomarkers (IL-5, IL-8, IL-13, CCL22, IFN-γ, TNF-α) and alterations in the abundance of bacterial families (Pasteurellaceae, Barnesiellaceae, Eubacteriaceae) was observed.

Knowledge and Use of Social Networks in University Students from Mexico and Spain

&lt;p&gt;It is unclear how social networks can be utilized in educational settings. An exploratory study was conducted to examine the differences between university students in Mexico and Spain in terms of their perceptions of knowledge and utilization of networks in the university environment. An overall sample of 378 students was collected from two public universities, one in Mexico and one in Spain. This study utilized descriptive statistics as part of a contingency analysis, X&lt;sup&gt;2&lt;/sup&gt; with correction was used for the analysis of differences, Mann-Whitney U for the analysis of independence, Mantel-Haenszel test for association degree, Cramer's V for strength of association, Spearman's correlation coefficient for correlations. According to the results, the use of social networks is clearly related to country of origin, but not to gender. It seems that Instagram is a platform widely used by both Mexican and Spanish students, but it is not used in educational environments. Therefore, the use of social networks in higher education contexts differs by country, as does the knowledge of social bookmarking and the distribution of content to share information and resources.&lt;/p&gt;

Dried blood spot improves global access to aquaporin-4-IgG testing for neuromyelitis optica.

This study aimed to evaluate the diagnostic accuracy of dried blood spot (DBS) compared with conventional serum Aquaporin-4-IgG (AQP4-IgG) testing. Prospective multicenter diagnostic study was conducted between April 2018 and October 2023 across medical centers in the United States, Uganda, and the Republic of Guinea. Neuromyelitis optica spectrum disorder (NMOSD) patients and controls collected blood on filter paper cards along with concurrent serum samples. These samples underwent analysis using flow cytometric live-cell-based assays (CBA) and enzyme-linked immunosorbent assay (ELISA) to determine AQP4 serostatus. The accuracy of AQP4-IgG detection between DBS and serum (gold standard) was compared. Among 150 participants (47 cases, 103 controls), there was a strong correlation between DBS and serum samples (Spearman's correlation coefficient of 0.82). The AUC was 0.97 (95% CI: 0.92-0.99). AQP4-IgG detection through DBS showed 87.0% sensitivity (95% CI: 0.74-0.95) and 100% specificity (95% CI: 0.96-1.00) using CBA, and 65.2% sensitivity (95% CI: 0.43-0.84) and 95.2% specificity (95% CI: 0.76-0.99) using ELISA. Serum ELISA demonstrated 69.6% sensitivity (95% CI: 0.47-0.87) and 98.4% specificity (95% CI: 0.91-0.99). The stability of DBS in detecting AQP4-IgG persisted over 24 months for most cases. The DBS represents a viable alternative for detecting AQP4-IgG in resource-limited settings to diagnose NMOSD, offering high sensitivity and specificity comparable to serum testing. Moreover, DBS has low shipping costs, is easy to administer, and is suitable for point-of-care testing.

Caracterización y Análisis de la Calidad del Agua en Entornos Urbanos mediante la implementación de un Sistema Embebido con Tecnología IoT

This study aims to characterize and analyze water quality in urban environments using an IoT embedded system, focusing on San Camilo’s community of Quevedo, Ecuador, where population growth has increased the demand for drinking water. An embedded system was designed to make use of a microcontroller and sensors to monitor critical water quality parameters in real time. The collected data is transmitted to a cloud platform for storage, analysis, and visualization. Spearman's correlation coefficient was preferred for statistical analysis of the data. This allowed for the identification of patterns and relationships between the variables examined. The data revealed significant associations in non-linear data, facilitating a decision regarding the development of predictive models for water management and treatment. The results demonstrate the feasibility and efficiency of using IoT technologies in the continuous monitoring of water quality, offering a scientific basis for the collection and processing of relevant data on the quality of drinking water in residential areas, providing a robust tool to monitor public health and the comfort of the inhabitants.

Editorial diversity correlates with journal impact factor and author diversity in cardiothoracic surgery.

While there are no widely accepted diversity, equity, and inclusion (DEI) metrics for journals, geographic and sex diversity across a journal's editorial board may provide a surrogate measure of its commitment to DEI. We explored the association between journal quality and DEI metrics for cardiothoracic surgery (CTS) journals and investigated whether editorial diversity correlates with diversity across published articles. We collected the following data for 30 CTS journals: country of publication (categorized by income level), journal quality metrics (citation-based metrics, e.g., impact factor (IF) or H-index), and sex and geographic representation across editorial boards and published articles. Bivariate correlations between numeric variables were assessed using Spearman's correlation. Female representation across editorial boards was 12.1%. Most editorial board members belonged to the United States (35.2%), with only 7.4% from the lower-middle-income countries and 0% from low-income countries. IF showed a strong positive correlation with female editorial representation (r=0.70) but an inverse correlation with low- and middle-income countries (LMICs) editorial representation (r=-0.45). Female editorial representation demonstrated a significant positive correlation with female first authorship (r=0.45), whereas LMIC editorial representation correlated strongly with LMIC corresponding authorship (r=0.85). Women and researchers from LMICs are in the minority across editorial boards of CTS journals. However, a strong correlation between journal H-index and female editorial representation indicates that top-ranked journals are spearheading efforts to improve equitable sex-based and gender representations. Similar efforts are required to ensure more global geographic representation across editorial boards and top-ranked CTS journals are the best placed to lead by example.

Neural network analysis as a novel skin outcome in a trial of belumosudil in patients with systemic sclerosis.

Background The modified Rodnan skin score (mRSS), used to measure dermal thickness in patients with systemic sclerosis (SSc), is agnostic to inflammation and vasculopathy. Previously, we demonstrated the potential of neural network-based digital pathology applied to stained skin biopsies from SSc patients as a quantitative outcome. We leveraged deep learning and histologic analyses of clinical trial biopsies to decipher SSc skin features 'seen' by artificial intelligence (AI). Methods Adults with diffuse cutaneous SSc (disease duration ≤ 6 years) enrolled in an open-label trial evaluating belumosudil underwent serial mRSS assessment and dorsal arm biopsies at week 0, 24 and 52/end of trial. Two blinded dermatopathologists independently scored stained sections [Masson's trichrome, hematoxylin and eosin (H&E), CD3, CD34, CD8, α smooth muscle actin (αSMA)] for 16 published SSc dermal pathological parameters. We applied our previously published deep learning model to generate QIF signatures/biopsy and generated Fibrosis Scores. Associations between Fibrosis Score and mRSS (Spearman correlation); and between Fibrosis Score mRSS versus histologic parameters [odds ratios (OR)] were determined. Results Only ten patients were enrolled because the sponsor terminated the trial early. Median, interquartile range (IQR) for mRSS change (0-52 weeks) for the five participants with paired biopsies was - 2.5 (-11-7.5), and for the ten participants was - 2 (-9-7.5). The correlation between Fibrosis Score and mRSS was R = 0.3; p = 0.674. Per 1-unit mRSS change (0-52W), histologic parameters with the greatest associated changes were (OR, p-value): telangiectasia (2.01, 0.001), perivascular CD3+ (1.03, 0.015), and % of CD8 + among CD3+ (1.08, 0.031). Likewise, per 1-unit Fibrosis Score change, parameters with greatest changes were (OR, p-value): hyalinized collagen (1.1, < 0.001), subcutaneous (SC) fat loss (1.47, < 0.001), thickened intima (1.21, 0.005), and eccrine entrapment (1.14, 0.046). Conclusions Belumosudil was associated with a non-clinically meaningful improvement in mRSS. Fibrosis Score changes correlated with histologic feature changes ( e.g. , hyalinized collagen, SC fat loss) that were distinct from those associated with mRSS changes ( e.g. , telangiectasia, perivascular CD3+, and % of CD8 + among CD3+). These data suggest that AI applied to SSc biopsies may be useful for quantifying pathologic features of SSc beyond skin thickness.

The Utility of PRAME and Ki-67 as Prognostic Markers for Cutaneous Melanoma.

Cutaneous melanoma can lead to metastasis, and it is associated with high mortality. Currently, there are no widely accepted immunohistochemistry markers for melanoma prognosis in routine staging. Preferentially expressed antigen in melanoma (PRAME) is a possible biomarker for prognosis in several noncutaneous neoplasms. Ki-67 is a cell proliferation marker correlated with poor outcomes in many cancers. This study assessed PRAME and Ki-67 as potential prognostic markers for sentinel lymph node outcomes and survival among melanoma patients. This is a retrospective study analyzing cutaneous melanoma cases from a Brazilian cancer center (2005-2021). All cases were tested using immunohistochemistry to evaluate PRAME expression and Ki-67 index. Descriptive analysis, Spearman correlations, means comparison, Kaplan-Meier analysis, χ2, and Cox models were performed. In univariate analysis of 123 cutaneous melanoma cases, high extent (P = 0.0267) and elevated intensity (P = 0.043) of PRAME were associated with decreased overall survival. The Ki-67 index was associated with overall survival (P = 0.05) and sentinel lymph node status (P = 0.0403), with a positive correlation between the markers (P = 0.0004) and between Ki-67 and Breslow thickness (P = 0.0001). However, in multivariate analysis, only Breslow thickness significantly influenced overall survival (P = 0.0003). Then, the present results can suggest that elevated PRAME and Ki-67 expression are associated with poor overall survival in cutaneous melanoma; however, in multivariate analysis, only the Breslow thickness had a significant influence. These findings highlight the potential of PRAME and Ki-67 as prognostic markers, opening frontiers that could improve strategies for treating cutaneous melanoma.

Assessment of the long-term hydrological performance of a green roof system in stormwater control

Green roof systems (GRs) are effective tools for urban stormwater management. However, there is limited documentation of the long-term hydrological performance of GRs to support decision-making. This study evaluated long-term field monitoring records (7 years) from a 12-year-old GR, situated in a Moist Subtropical Mid-Latitude Climate, to analyze seasonality in and evolution of hydrological performance. The monitoring system was built within a pan lysimeter buried under substrate layers matching the surrounding GR. The monitoring results highlight the efficacy of this GR in long-term stormwater runoff control. The GR can retain 87% of the annual precipitation and return 54% of the precipitation to the atmosphere through evapotranspiration (ET) and sustain long-term event-based mean runoff volume reductions, peak flow reductions, and flow delays of 82%, 93%, and 4.3 h, respectively. The initial moisture content prior to events was highly correlated with hydrological performance, with a seasonal mean Spearman correlation coefficient of 0.47, suggesting the potential of enhancing ET from the GR to improve performance. Substrate water holding capacity increased over time, but no obvious changes in water retention performance were observed. These monitoring results from the aging GR demonstrate the effectiveness of GR systems for long-term stormwater management.

The Use of Grayscale Muscle Ultrasound to Indicate Muscle Recovery After Peripheral Nerve Reconstruction.

This study aimed to validate the use of grayscale muscle ultrasound by measuring echo intensity to longitudinally evaluate functional muscle reinnervation in a rabbit peroneal nerve defect model. Eighteen New Zealand White rabbits underwent a 30-mm peroneal nerve reconstruction with autografts or decellularized allografts. Ultrasound measurements of tibialis anterior muscles were performed before surgery and at 4, 8, 12, 16, 20, and 24 weeks postoperatively and included cross-sectional muscle area, mean gray value (MGV), and mean gray value normalized for area (MGVA). At 24 weeks, functional motor recovery was evaluated with isometric tetanic force (ITF) and compound muscle action potential (CMAP). MGVA data was compared with ITF and CMAP measurements by calculating the Spearman correlation coefficient. Muscle area (Left/Right Ratio (L/R)) of autografts was superior to allografts at 4, 12, 16, 20 and 24 weeks (p<0.03 for all comparisons). MGVs of the operated side were significantly higher for autografts at 4, 8, and 12 weeks and at 12, 16, 20, and 24 weeks for allografts (p<0.01 for all comparisons), compared to their unoperated sides. Similar patterns were seen in both groups for MGVA (operated versus control side). MGVA (L/R) demonstrated a strong correlation with ITF (L/R) for autografts (ρ = -0.7) and allografts (ρ = -0.87), but inconsistent with CMAPs (L/R). Quantitative muscle ultrasound demonstrated a reliable, non-invasive tool for evaluating motor recovery in a rabbit peroneal nerve reconstruction model. Clinical translation could provide valuable insights into muscle health and structural changes following nerve reconstruction.

Diagnostic value of baseline 18F-FDG PET/CT and peripheral blood inflammatory markers for aggressive lymphoma in non-Hodgkin's lymphoma.

This study aims to investigate the diagnostic value of baseline F18 fluorodeoxyglucose (FDG) PET/computed tomography (CT) parameters and peripheral blood inflammatory markers in aggressive lymphoma of non-Hodgkin lymphoma (NHL) and the correlation between peripheral blood inflammatory markers and maximum standardized uptake value (SUVmax). We conducted a retrospective analysis including 121 patients with NHL. Patients were divided into aggressive lymphoma group and indolent lymphoma group. Mann-Whitney U test, chi-square test and multivariate stepwise logistic regression were used to analyse. Subsequently, receiver operating characteristic (ROC) curve analysis was conducted to evaluate the diagnostic performance. Additionally, Spearman correlation analysis was utilized to explore the correlation between peripheral blood inflammatory markers and SUVmax. Leptin mass criterion uptake value (SUL)max, SUVmax, SUVavg, SUVpeak, focal SUVmax/liver SUVmax, focal SUVmax/ mediastinal SUVmax, SULavg, SULpeak, systemic immune-inflammation, neutrophil ratio, total lesion glycolysis, neutrophils versus lymphocyte ratio, platelet-to-lymphocyte ratio, hemoglobin-to-white blood cell ratio, lactate dehydrogenase and lymphocyte ratio between two groups were statistically significant (P < 0.05). SUVmax was an independent influencing factor, and the area under the ROC curve was 0.862. There was a positive correlation between the platelet-to-lymphocyte ratio and SUVmax (r = 0.239; P = 0.008). PET/CT parameters and peripheral blood inflammatory markers have certain value in the diagnosis of aggressive lymphoma in NHL, among which SUVmax is an independent influencing marker and is positively correlated with PLR.

Evaluation of real estate investment performance of insurance companies by NHF Act in curbing housing deficit in Nigeria

PurposeThe purpose of this study is to evaluate the real estate investment performance portfolio decision-making of the insurance firms by the National Housing Fund (NHF) Act in reducing the housing deficit in Nigeria. The insurance companies' gross premium, real estate investment and return on investment trends for the period 2014–2019 were evaluated, to determine the extent of their investment in real estate in Nigeria, this ought to have reduced the shortfall in housing.Design/methodology/approachBoth primary and secondary sources were used. Cronbach’s alpha was used for testing the reliability. The Friedman mean rank with Chi-square was used for different types of real estate investment properties and for reasons for investing in real estate by insurance companies in Nigeria. The test for normality was conducted using the Shapiro–Wilk and Spearman correlation for the significance. The percentage and the data envelopment analysis frontier model were used for measuring performance and efficiency.FindingsThe results showed that the majority of real estate investments made by insurance companies were in commercial and land buying and reselling and that their performance was below average. However, their motivation for investing is not toward the NHF Act but rather for diversification and increasing their capital.Originality/valueTo the best of the authors’ knowledge, this is one of the first studies in Nigeria that looked at how well insurance firms have performed investing in real estate as required by the NHF Act. However, the new Act, the National Housing Fund (Establishment) Act of 2018 which was put on hold due to flaws, affected data availability beyond 2019.

Knowledge Management in Local Governments: A Boost or a Brake on Productivity?

This study analyzes the impact of knowledge management on the productivity of a local government, to determine whether it acts as a boost or a brake on institutional performance. Using a quantitative approach, a non-experimental design and an explanatory level, 119 municipal workers were evaluated using validated and reliable instruments. The dimensions of knowledge detection, capture and development were examined, applying Spearman correlation and ordinal regression. The results revealed a positive and significant correlation between knowledge management and productivity (Rho = 0.810, p = 0.000), indicating that effective management is associated with higher levels of productivity. The regression model showed that knowledge management explains 66.2% of the variability in productivity, reflecting an important influence. However, areas for improvement were identified, especially in knowledge detection, where significant levels of inefficiency and regularity were perceived. It was concluded that knowledge management in the local government studied acts both as a boost and a brake on productivity. It is recommended to implement strategies that strengthen detection, capture and knowledge development practices, in order to optimize operational efficiency and offer higher quality services to the population.

NMR Insights into Lipoprotein Particles: analyzing correlations with traditional lipid measurements

Abstract Introduction Lipid metabolism plays a crucial role in various physiological processes. Lipid molecules are transported by lipoproteins, and the intricate involvement of lipoproteins in cardiovascular disease (CVD) is well-established, given their diverse size, density, and lipid composition. The emergence of Nuclear Magnetic Resonance (NMR) spectroscopy, a high-resolution analytical technique, promotes the assessment of lipoprotein particle numbers and sizes. Studies suggest that the measurement of total low-density lipoprotein particle numbers (LDL-P), small LDL-P (SLDL-P), and total high-density lipoprotein particle numbers (HDL-P) provides better evaluation of risk of CVD than enzymatic-based measurements of LDL cholesterol (LDL-C) and HDL cholesterol (HDL-C). Our study examined the correlation between NMR-derived lipoprotein profiles and traditional cholesterol measurements in control and patient populations. Methods Fasting serum samples were collected from healthy male and female donors (n=148), ages 21-64 years. The analysis also included the results from &amp;gt;20,000 patients’ samples submitted to our laboratory for NMR lipid testing. We assessed LDL-P, SLDL-P, HDL-P, large HDL (LHDL-P), and HDL size (HDL-S) by NMR. In addition, total cholesterol (TC) and HDL-C were measured using traditional automated enzymatic assays (Roche Diagnostics); LDL-C was calculated. Statistical analyses, including Spearman correlation, were performed using GraphPad Prism software. Spearman coefficient (r) ≥0.75 indicated a strong correlation, r &amp;lt;0.5 indicated a weak correlation. Results HDL-C only moderately correlated with total HDL-P in samples collected from controls (rcontrols=0.52) and patients (rpatients=0.68), while showing better correlation with LHDL-P (rcontrols=0.90, rpatients=0.89). Traditional LDL-C strongly correlated with total LDL-P (rcontrols=0.76, rpatients=0.81), but showed only weak correlation with SLDL-P (rcontrols=0.42, rpatients=0.28), which is considered more atherogenic and predictive of CVD risk than LDL-C or total LDL-P. Interestingly, among various lipoprotein parameters, SLDL-P correlated the strongest with HDL-S in both study populations (rcontrols=-0.87, rpatients=-0.84). Samples with higher number of SLDL-P also had smaller size of HDL-P, although the number of total HDL-P did not differ between high vs low SLDL-P samples. In contrast, only moderate negative correlation was observed between SLDL-P and traditional HDL-C (rcontrols=-0.74, rpatients=-0.68), suggesting that the size of HDL particles might add value in evaluating CVD risk. Conclusion The NMR technology has advantage over traditional measurements in stratifying an individual’s lipoprotein milieu. It provides insights into the number of small LDL particles and size of HDL particles, which are not included in standard lipid testing and may allow for more individualized patient care. Incorporation of lipoprotein size and particle number in clinical guidelines may help physicians with assessment CVD risk and treatment monitoring.

Association between plasma osteopontin level and mild cognitive impairment in patients with type 2 diabetes mellitus

Objective: To analyze the influencing factors of type 2 diabetes mellitus (T2DM) patients with mild cognitive impairment (MCI), and to explore the association between plasma osteopontin (OPN) levels and MCI. Methods: A retrospective analysis was conducted on the clinical data of 254 patients with T2DM admitted to Zhongda Hospital Affiliated to Southeast University from October 2021 to May 2023. The patients were divided into MCI group (n=106) and normal cognitive function control group (n=148) according to whether they had MCI. Clinical data were collected, cognitive function was assessed using neurological scales and plasma OPN levels were measured by enzyme linked immunosorbent assay. A multivariate logistic regression model was applied to analyze the influencing factors of MCI in T2DM patients. Interaction terms between gender, age, body mass index (BMI), and OPN were established to verify their significance levels. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive value of OPN for MCI in T2DM patients. The mediation model of OPN-FPG-montreal cognitive assessment(MoCA) was constructed with fasting plasma glucose (FPG) as the mediating variable to test the mediating effect, and the mediating effect percentage was calculated. Results: A total of 254 patients were included, including 162 males and 92 females, with an average age of (61.5±7.5) years old. Compared with the control group, the patients in MCI group were older[63.0(59.0, 69.0) years vs 60.0(54.2, 66.8) years], had a greater proportion of females [(43.4%(46/106) vs 31.1%(46/148)], shorter years of education[12(9, 12) years vs 12(9,15) years], longer duration of diabetes[15.0(8.0, 20.0) years vs 10.0(5.0, 15.0) years], and higher levels of FPG[7.78(6.07, 10.23) mmol/L vs 6.86(5.36, 8.59) mmol/L], insulin resistance index[2.93(2.47, 3.98) vs 2.79(2.27, 3.25)], glycated hemoglobin (HbA1c) [9.24%(7.89%, 10.96%) vs 7.97%(7.00%, 9.45%)], total cholesterol(TC)[(4.51±1.17) mmol/L vs (4.19±0.99) mmol/L], and OPN [11.30(8.68, 12.84) ng/ml vs 9.69(7.82, 11.74) ng/ml] (all P<0.05). The scores of various neuropsychological tests in MCI patients were lower than those in control group with normal cognitive function (all P<0.05). Spearman correlation analysis showed that age(r=-0.212), duration of diabetes mellitus(r=-0.156), duration of hypertension(r=-0.132), FPG(r=-0.207), insulin resistance index(r=-0.171), HbA1c(r=-0.271), OPN(r=-0.238), and total cholesterol (r=-0.125) were negatively correlated with MoCA scores, whereas years of education(r=0.285) were positively correlated with MoCA scores(all P<0.05). Multifactorial logistic regression analysis showed that age, years of education, duration of diabetes mellitus, HbA1c, TC and OPN levels were the influencing factors of T2DM patients with MCI, and the risk of MCI increased by 15% for every 1 ng/ml increase in OPN (OR=1.15, 95%CI: 1.021-1.295, P=0.021), and the relationship was not affected by age, gender and BMI(The interaction effects are all P>0.05). The area under the curve (AUC) of the working curve of subjects with OPN predicting combined MCI in patients with T2DM was 0.612 (95%CI: 0.541-0.682), and the AUC was 0.702 (95%CI: 0.638-0.767) after the combination of HbA1c and OPN. The results of the mediated effect model showed that FPG partially mediated the correlation between OPN and MoCA in T2DM patients, and the mediated effect accounted for 11.34% of the total effect. Conclusions: Plasma OPN level is associated with MCI in patients with T2DM,and the higher the OPN level, the higher the risk of T2DM patients developing MCI.

Association of enthesitis with severity of psoriasis in psoriatic arthritis: an observational study.

The relationship between dermatological and articular manifestations of psoriatic disease remains incompletely elucidated. There is no strong correlation between the severity of cutaneous psoriasis and the clinical phenotypes of psoriatic arthritis (PsA). This study aims to examine the correlation between the severity of psoriasis and various clinical features, including measures of severity and activity of PsA, in a real-world clinical setting. Seventy-six consecutive adult patients of both genders with confirmed diagnoses of psoriatic arthritis (PsA) and psoriasis were included in the study. The Psoriasis Area and Severity Index (PASI) was assessed alongside various PsA variables: tender joint count (TJC), swollen joint count (SJC), duration of morning stiffness, presence of dactylitis and number of affected digits, presence of enthesitis and Maastricht Ankylosing Spondylitis Enthesitis Score (MASES), patient's global assessment (PGA), and examiner's global assessment (EGA). Associations were analyzed using the Spearman correlation test and the Kruskal-Wallis test. Statistical significance was established at p = 0.05. Forty-two men and thirty-four women, median age of 56 (range 33-85) years, participated in the study. The median duration of psoriasis was 216 (range 0-600) months and median duration of PsA was 120 (range 7-456) months. There was no significant correlation between PASI and any PsA variables, except for the correlation between PASI and the presence of enthesitis (ρ = 0.285; p = 0.013). Moreover, older patients and patients with a long history of psoriasis manifested more often with enthesis as a sign of PsA. Our findings emphasize the correlation between the severity of psoriasis and presence of enthesitis in patients with PsA.

Salivary Physicochemical Parameters in Relation to Dental Caries and Adiposity Status.

The objective of this study was to investigate the correlations between salivary physicochemical parameters, adiposity, and caries indices in Hong Kong adolescents. A total of 921 adolescents aged 12-15 years from four randomly selected local secondary schools were invited to participate in this cross-sectional study. Dental examinations including the number of decayed, missing, and filled teeth (DMFT), salivary physicochemical parameters, and anthropometric measurements were performed. The Mann-Whitney U test was used to examine the differences in salivary parameters and adiposity indices between participants with different levels of caries experience. Correlations between adiposity indices, salivary parameters, and caries indices were examined using Spearman's correlation coefficients. The participation rate was 83.6%. After exclusion, data from 695 adolescents were analysed. Adolescents with high caries experience (DMFT ≥ Significant Caries Index [SiC Index]) had significantly higher weight-to-height ratio (W/H) and waist circumference (WC) z-scores and lower unstimulated and stimulated salivary flow rates and buffering capacity than those with DMFT < SiC Index. Except for body mass index z-score, the other adiposity indices were negatively correlated with at least one salivary physicochemical parameter (stimulated salivary flow rate or salivary buffering capacity) (rs ranged from -0.078 to -0.132). After adjusting for age and sex, decreased stimulated salivary flow rate was associated with higher body fat percentages, WC, and waist-to-height ratio z-scores, whereas low salivary buffering capacity was associated with higher W/H and WC z-scores. There is a potential link between adiposity indices and certain salivary physicochemical parameters that are implicated in the aetiology of dental caries.

Exploring the CO2 conversion activated by the dielectric barrier discharge plasma assisted with photocatalyst via machine learning

DBD plasma assisted with halide perovskite photocatalysts is very attractive for the conversion of CO2 into high value-added products under mild conditions. However, it is still challenging to further effectively improve the corresponding CO2 conversion efficiency due to the consumption of time, materials, equipments via traditional experimental approach. In this paper, we simulate the CO2 conversion process under the DBD plasma assisted with different photocatalysts by machine learning. The process conditions and material parameters were selected as the feature variables of the machine learning model, and all the features were screened by combining Pearson's correlation coefficient and MIR ranking. The regression algorithms were evaluated using K-fold cross-validation combined with the coefficient of determination (R2), while SVR and BPANN with the best prediction performance for CO2 conversion ratio and energy efficiency were selected to establish the prediction models. In order to increase the accuracy of predictions, the hyperparameters of these two base models were improved using genetic algorithm, particle swarm optimization and Bayesian optimization. The R2 of the GA-SVR-CO2 and Bayesian-BPANN-EE reached 0.8960 and 0.9679 for the testing sets, respectively, and their practical applications were successfully verified. In addition, the effects of feature parameters on the conversion efficiency were revealed by SHAP. SEI scatter plots and Spearman correlation coefficient have been used for correlation analysis to better explore the correlation between machine learning models and experiments. This work brings new insights into the contributions of multiple parameters in the plasma system assisted with photocatalyst for efficient conversion of CO2.

NTRK Gene Expression Analysis in Oral Squamous Cell Carcinoma Mexican Population.

Oral cancer holds the sixth position in malignancies worldwide; 90% correspond to oral squamous cell carcinoma (OSCC). Diverse reports suggest that NTRK genes and their receptors are key oncogenesis regulators to tumor progression in human cancers. Objective: To analyze the NTRK and Trk expression and their association with clinicopathological features of OSCC in Mexican patients' samples. Material and Methods: We analyzed 95 OSCC cases of pan-trk immunoexpression through a software-assisted method. Gene expression was analyzed by RT-qPCR employing the ΔΔCT method. Kruskal-Wallis and Spearman's correlation tests were performed. Results: Our mean age was 62.4 (±16.9) years. A total of 37 cases were tumors in the lateral border of the tongue. Age was significantly associated with the anatomical site. 42% (40 of 95) cases were pan-trk positive. A total of 21 cases showed intense immunoexpression predominantly in poorly differentiated OSCC, with a significant correlation between immunoexpression and age and gender. Gene expression showed that poorly differentiated cases exhibited higher NTRK2 expression, while well-differentiated cases demonstrated NTRK3 significantly higher expression. Conclusions: Our results suggest that NTRK family expression is present in OSCC, with differential expression related to differentiation degree. Additional information about their activation or mutational status could reinforce their potential as a possible primary or adjuvant treatment target.

Unraveling the brain dynamics of Depersonalization-Derealization Disorder: a dynamic functional network connectivity analysis

BackgroundDepersonalization-Derealization Disorder (DPD), a prevalent psychiatric disorder, fundamentally disrupts self-consciousness and could significantly impact the quality of life of those affected. While existing research has provided foundational insights for this disorder, the limited exploration of brain dynamics in DPD hinders a deeper understanding of its mechanisms. It restricts the advancement of diagnosis and treatment strategies. To address this, our study aimed to explore the brain dynamics of DPD.MethodsIn our study, we recruited 84 right-handed DPD patients and 67 healthy controls (HCs), assessing them using the Cambridge Depersonalization Scale and a subliminal self-face recognition task. We also conducted a Transcranial Direct Current Stimulation (tDCS) intervention to understand its effect on brain dynamics, evidenced by Functional Magnetic Resonance Imaging (fMRI) scans. Our data preprocessing and analysis employed techniques such as Independent Component Analysis (ICA) and Dynamic Functional Network Connectivity (dFNC) to establish a comprehensive disease atlas for DPD. We compared the brain's dynamic states between DPDs and HCs using ANACOVA tests, assessed correlations with patient experiences and symptomatology through Spearman correlation analysis, and examined the tDCS effect via paired t-tests.ResultsWe identified distinct brain networks corresponding to the Frontoparietal Network (FPN), the Sensorimotor Network (SMN), and the Default Mode Network (DMN) in DPD using group Independent Component Analysis (ICA). Additionally, we discovered four distinct dFNC states, with State-1 displaying significant differences between DPD and HC groups (F = 4.10, P = 0.045). Correlation analysis revealed negative associations between the dwell time of State-2 and various clinical assessment factors. Post-tDCS analysis showed a significant change in the mean dwell time for State-2 in responders (t-statistic = 4.506, P = 0.046), consistent with previous clinical assessments.ConclusionsOur study suggests the brain dynamics of DPD could be a potential biomarker for diagnosis and symptom analysis, which potentially leads to more personalized and effective treatment strategies for DPD patients.Trial registrationsThe trial was registered at the Chinese Clinical Trial Registry on 03/01/2021 (Registration number: ChiCTR2100041741, https://www.chictr.org.cn/showproj.html?proj=66731) before the trial.