Spearman Correlation Analysis Research Articles

Effects of chitosan guanidine on blood glucose regulation and gut microbiota in T2DM

Diabetes mellitus (DM) is a chronic metabolic disease characterized by hyperglycemia. Type 2 diabetes mellitus (T2DM) represents approximately 90 % of all DM cases and is primarily caused by an imbalance in blood glucose homeostasis due to inadequate insulin secretion or insulin resistance. This study explores the potential therapeutic effects of chitosan guanidine (CSG) on a T2DM mouse model. The findings reveal that CSG significantly enhances oral glucose tolerance (OGTT) and insulin sensitivity (ITT), reduces fasting blood glucose (FBG) levels, and suppresses the expression of proinflammatory cytokines in T2DM mice. These changes improve insulin resistance and diminish inflammation. Additionally, CSG markedly ameliorates lipid metabolism disorders, lowers total cholesterol (TC) and triglyceride (TG) levels, and inhibits hepatic fat accumulation. 16S rRNA and Spearman correlation analyses indicate that CSG promotes the relative abundance of probiotic genera such as Bacteroidota, Patescibacteria, Actinobacteria, and Cyanobacteria. These bacteria are positively correlated with short-chain fatty acids (SCFAs) and high-density lipoprotein cholesterol (HDLC) levels. Conversely, CSG reduces the relative abundance of pathogenic bacteria, including Proteobacteria and Ralstonia, leading to an improved intestinal microbial community composition in T2DM mice and alleviating T2DM symptoms. These results suggest that CSG holds significant potential as a non-insulin therapeutic agent for diabetes management.

Quantitative CT analysis of idiopathic pulmonary fibrosis and correlation with lung function study

BackgroundIdiopathic Pulmonary Fibrosis (IPF) is a progressive fibrotic lung disease. However, the field of quantitative CT scan analysis in conjunction with pulmonary function test for IPF patients remains relatively understudied. In this study, we evaluated the diagnostic value of features derived high-resolution computed tomography (HRCT) for patients with IPF and correlated them with pulmonary function tests.MethodsWe retrospectively analyzed the chest HRCT images and pulmonary function test results of 52 patients with IPF during the same period (1 week) and selected 52 healthy individuals, matched for sex, age, and body mass index (BMI) and with normal chest HRCT as controls. HRCT scans were performed using a Philips 256-row Brilliance iCT scanner with standardized parameters. Lung function tests were performed using a Jaeger volumetric tracer for forced vital capacity (FVC), total lung capacity (TLC), forced expiratory volume in first second (FEV1), FEV1/FVC, carbon monoxide diffusing capacity (DLCO), and maximum ventilation volume (MVV) metrics. CT quantitative analysis, including tissue segmentation and threshold-based quantification of lung abnormalities, was performed using 3D-Slicer software to calculate the percentage of normal lung areas (NL%), percentage of ground-glass opacity areas (GGO%), percentage of fibrotic area (F%) and abnormal lesion area percentage (AA%). Semi-quantitative analyses were performed by two experienced radiologists to assess disease progression. The aortic-to-sternal distance (ASD) was measured on axial images as a standardized parameter. Spearman or Pearson correlation analysis and multivariate stepwise linear regression were used to analyze the relationship between the data in each group, and the ROC curve was used to determine the optimal quantitative CT metrics for identifying IPF and controls.ResultsROC curve analysis showed that F% distinguished the IPF patient group from the control group with the largest area under the curve (AUC) of 0.962 (95% confidence interval: 0.85–0.96). Additionally, with F% = 4.05% as the threshold, the Youden’s J statistic was 0.827, with a sensitivity of 92.3% and a specificity of 90.4%. The ASD was significantly lower in the late stage of progression than in the early stage (t = 5.691, P < 0.001), with a mean reduction of 2.45% per month. Quantitative CT indices correlated with all pulmonary function parameters except FEV1/FVC, with the highest correlation coefficients observed for F% and TLC%, FEV1%, FVC%, MVV% (r = − 0.571, − 0.520, − 0.521, − 0.555, respectively, all P-values < 0.001), and GGO% was significantly correlated with DLCO% (r = − 0.600, P < 0.001). Multiple stepwise linear regression analysis showed that F% was the best predictor of TLC%, FEV1%, FVC%, and MVV% (R2 = 0.301, 0.301, 0.300, and 0.302, respectively, all P-values < 0.001), and GGO% was the best predictor of DLCO% (R2 = 0.360, P < 0.001).ConclusionsQuantitative CT analysis can be used to diagnose IPF and assess lung function impairment. A decrease in the ASD may indicate disease progression.

Interaction between coagulation and inflammatory system in liver disease: re-focus on hematological markers.

Aim: This study uses blood routine, coagulation and biochemical indicators to explore the relationship between the hematological parameters of patients with various types of liver diseases.Methods: The Kruskal-Wallis, Chi-squared and Fisher exact tests were used to compare the hematological parameters and clinical characteristics of three groups of patients with different degrees of liver disease. Spearman correlation analysis is used to analyze the correlation between two continuous variables. The logistic regression model evaluated the odds ratio between variables and disease changes. Receiver operating characteristic curve analysis was used to understand the predictive value of each index in relation to the progress of liver disease.Results: There are differences in inflammation and coagulation profiles among different types of liver diseases and there is a correlation between them. In addition to the traditional marker α-fetoprotein, the inflammatory marker c-reactive protein and the coagulation marker D-dimer also have good diagnostic value for liver injury.Conclusion: The coagulation and inflammation systems interact, are connected and play essential roles in the liver.

Speech sound development of young Dutch children with a developmental language disorder: A complex matter.

Approximately 50% of all young children with a developmental language disorder (DLD) also have problems with speech production. Research on speech sound development and clinical diagnostics of speech production difficulties focuses mostly on accuracy; it relates children's phonological realizations to adult models. Contrarily to these relational analyses, independent analyses indicate the sounds and structures children produce irrespective of accuracy. Such analyses are likely to provide more insight into a child's phonological strengths and limitations, and may thus provide better leads for treatment. Ram (1) To contribute to a more comprehensive overview of the speech sound development of young Dutch children with DLD by including independent and relational analyses, (2) to develop an independent measure to assess these children's speech production capacities; and (3) to examine the relation between independent and relational speech production measures for children with DLD. We describe the syllable structures and sounds of words elicited in two picture-naming tasks of 82 children with DLD and speech production difficulties between ages 2;7 and 6;8. The children were divided into four age groups to examine developmental patterns in a cross-sectional manner. Overviews of the children's productions on both independent and relational measures are provided. We conducted a Spearman correlation analysis to examine the relation between accuracy and independent measures. The overviews show these children are able to produce a greater variety of syllable structures and consonants irrespective of target positions than they can produce correctly in targets. This is especially true for children below the age of 4;5. The data indicate that children with DLD have difficulty with the production of clusters, fricatives, liquids and the velar nasal (/ŋ/). Based on existing literature and our results, we designed a Dutch version of an independent measure of word complexity, originally designed for English (word complexity measure-WCM) in which word productions receive points for specific word, syllable and sound characteristics, irrespective of accuracy. We found a strong positive correlation between accuracy scores and scores on this independent measure. The results indicate that the use of independent measures, including the proposed WCM, complement traditional relational measures by indicating which sounds and syllable structures a child can produce (irrespective of correctness). Therefore, the proposed measure can be used to monitor the speech sound development of children with DLD and to better identify treatment goals, in combination with existing relational measures. What is already known on the subject Speech production skills can be assessed in different ways: (1) using analyses indicating the structures and sounds a child produces irrespective of accuracy, that is, performance analyses; and (2) using analyses indicating how the productions of a child relate to the adult targets, that is, accuracy analyses. In scientific research as well as in clinical practice the focus is most often on accuracy analyses. As a consequence, we do not know if children who do not improve in accuracy scores, improve in other phonological aspects that are not captured in these analyses, but can be captured by performance analyses. What this study adds to the existing knowledge The overviews show these children are able to produce a greater variety of syllable structures and consonants irrespective of target positions than they can produce correctly in targets. Consequently, adding performance analyses to existing accuracy analyses provides a more complete picture of a child's speech sound development. What are the potential or actual clinical implications of this work? We propose a Dutch version of a WCM, originally designed for English, in which word productions receive points for word structures, syllable structures and sounds, irrespective of accuracy. This measure may be used by Dutch clinicians to monitor the speech sound development of children with DLD and to formulate better treatment goals, in addition to accuracy measures that are already used.

Comparing the environmental impacts of pollution from two types of industrial zones on the coast

IntroductionThe construction of coastal industrial zones has significantly impacted the marine environment, with the extent of these effects varying based on the type of industrial activity. This study compares the environmental impact of two prevalent types of industrial zones along South Korea’s coast: ironworks and shipyards.MethodsWe assessed heavy metal pollution near these industrial zones using the Pollution Load Index (PLI) and Nemerow Pollution Index (Pn). To evaluate the impact of heavy metals and organic matter on macrobenthic communities, we employed redundancy analysis (RDA) and Spearman correlation analysis. Additionally, we used the AZTI’s Marine Biotic Index (AMBI), Multivariate AMBI (M-AMBI), and Benthic Pollution Index (BPI) to gauge the ecological quality of the affected marine environments.Results and discussionOur findings indicated that the biodiversity and abundance of species near shipyards were significantly lower than those near ironworks. Results of PLI and Pn revealed that the ecological risk posed by heavy metals from shipyard activities was significantly higher than from ironworks. The AZTI’s Marine Biotic Index (AMBI), Multivariate AMBI (M-AMBI), and Benthic Pollution Index (BPI) demonstrated that the ecological quality of Asan Bay (ironworks) is better than that of Dangdong Bay (shipyard). RDA analysis identified Lumbrineris longifolia, Ancistrosyllis hanaokai, and Theora fragilis as biological indicators for assessing heavy metal and organic matter pollution. Spearman correlation analysis indicated that BPI and species richness index are effective indicators for evaluating such pollution. Overall, the negative impact of shipyards on the marine environment was significantly more significant than that of ironworks. Our study provides valuable insights for the South Korean government in managing coastal industrial zones and formulating relevant policies.

Attitudes toward Learning Mathematics and Performance of Grade 11 Students in the New Normal

This study aimed to determine the relationship between students' attitudes toward learning mathematics and their mathematical performance in the New Normal at a secondary school in Davao region. Descriptive-correlational research design was used. With the stratified random sampling technique, 286 out of 1000 students were selected as respondents. Quantitative data were gathered using an adopted questionnaire and the data were analyzed using mean and Spearman correlation analysis. Results indicate that students’ confidence in learning mathematics is moderate and occasionally felt. Engagement in mathematics is frequently observed. Students place importance on mathematics and understand its purpose in their lives. The mathematics performance of the students is approaching proficiency level, indicating they require minimal guidance from teachers and assistance from peers. The students' overall attitude toward learning mathematics is high, and their mathematics performance in the New Normal is satisfactory. Among the indicators, only confidence in mathematics showed a significant correlation with mathematics performance. This finding highlights the important role of confidence in shaping students' success in mathematics during the New Normal, suggesting that interventions aimed at boosting confidence could further enhance their performance.

CT-based whole lung radiomics nomogram for identification of PRISm from non-COPD subjects

BackgroundPreserved Ratio Impaired Spirometry (PRISm) is considered to be a precursor of chronic obstructive pulmonary disease. Radiomics nomogram can effectively identify the PRISm subjects from non-COPD subjects, especially when during large-scale CT lung cancer screening.MethodsTotally 1481 participants (864, 370 and 247 in training, internal validation, and external validation cohorts, respectively) were included. Whole lung on thin-section computed tomography (CT) was segmented with a fully automated segmentation algorithm. PyRadiomics was adopted for extracting radiomics features. Clinical features were also obtained. Moreover, Spearman correlation analysis, minimum redundancy maximum relevance (mRMR) feature ranking and least absolute shrinkage and selection operator (LASSO) classifier were adopted to analyze whether radiomics features could be used to build radiomics signatures. A nomogram that incorporated clinical features and radiomics signature was constructed through multivariable logistic regression. Last, calibration, discrimination and clinical usefulness were analyzed using validation cohorts.ResultsThe radiomics signature, which included 14 stable features, was related to PRISm of training and validation cohorts (p < 0.001). The radiomics nomogram incorporating independent predicting factors (radiomics signature, age, BMI, and gender) well discriminated PRISm from non-COPD subjects compared with clinical model or radiomics signature alone for training cohort (AUC 0.787 vs. 0.675 vs. 0.778), internal (AUC 0.773 vs. 0.682 vs. 0.767) and external validation cohorts (AUC 0.702 vs. 0.610 vs. 0.699). Decision curve analysis suggested that our constructed radiomics nomogram outperformed clinical model.ConclusionsThe CT-based whole lung radiomics nomogram could identify PRISm to help decision-making in clinic.

Unveiling the Link between Stress Levels and Job Performance among Women in Nepal Banking Sector

The banking sector in Nepal heavily relies on the contributions of female employees. However, concerns regarding the impact of stress levels on their job performance have emerged, given the industry's high-pressure nature and cultural dynamics. This study aims to explore the relationship between stress levels and productivity, efficiency, job satisfaction, and retention rates among female banking professionals in Nepal. A comprehensive investigation was conducted using a Likert scale questionnaire distributed among female employees at Nepal Bank I. The questionnaire assessed various dimensions of job performance, including interpersonal, job, and organizational performance. Spearman correlation analysis and regression techniques were employed to analyze the data and test hypotheses regarding the influence of stress factors on job performance. The study revealed moderate to strong positive correlations between stress factors (job burnout, occupational stress, and psychological stress) and different dimensions of job performance. All nine hypotheses proposed in the study were confirmed, indicating a significant impact of stress on job performance. Regression analysis further supported these findings, highlighting the positive influence of psychological and occupational stresses on organizational and interpersonal performance. The findings underscore the importance of addressing stress factors in the workplace to enhance the well-being and effectiveness of female banking professionals in Nepal. By implementing organizational support and gender-sensitive policies, institutions can create a conducive work environment, leading to increased job satisfaction, productivity, and retention rates among female employees. This study contributes to the existing literature by providing empirical evidence of the relationship between stress levels and job performance specifically among female employees in the banking sector of Nepal. The confirmation of hypotheses and the identification of positive correlations between stress factors and job performance dimensions offer valuable insights for practitioners and policymakers aiming to promote the well-being and effectiveness of female professionals in the industry.

Vaginal microbiota, menopause, and the use of menopausal hormone therapy: a cross-sectional, pilot study in Chinese women.

To compare the vaginal microbiota of premenopausal and postmenopausal women and postmenopausal women undergoing menopausal hormone therapy (MHT) and examine the association between vaginal microbiota and genitourinary syndrome of menopause (GSM). This cross-sectional study classified 94 women aged 40 to 60 years into three groups: premenopausal (Pre, n = 32), postmenopausal (Post, n = 30), and postmenopausal women who received MHT orally (Post + MHT, n = 32). Neither the Pre nor the Post group received hormone therapy within the past 6 months. Postmenopausal women who received vaginal MHT were not included. Vaginal swabs were obtained, and microbial composition was characterized by 16S rRNA gene sequencing targeting the V3 to V4 region. Clinical data were collected and serum sex hormones were measured. The most bothersome symptom approach and vaginal health index were used to evaluate GSM. Mann-Whitney U or Kruskal-Wallis ANOVA followed by multiple comparison tests were performed for comparison between or across groups. The correlations between GSM symptom scores and vaginal microbiota were determined using Spearman's correlation analysis. The vaginal community of postmenopausal women was characterized by a decreased abundance of Lactobacillus (Post 18% vs Pre 69%); an increased abundance of several anaerobic bacteria, including Prevotella, Escherichia-Shigella, and Bifidobacterium; and a higher microbial diversity (P < 0.001 for Shannon and Simpson indexes) than those of premenopausal women. The vaginal community of postmenopausal women who received MHT had an increased abundance of Lactobacillus (54%) and lower microbial diversity (P < 0.001 for Shannon and Simpson indexes) than the postmenopausal women. The vaginal microbial community composition of the Pre group shared more similarity with that of the Post + MHT group (Adonis P = 0.051) than with that of the Post group (Adonis P < 0.001). A decreased abundance of Lactobacillus and high diversity in the vaginal community were found in women with moderate to severe GSM symptoms. Among Chinese postmenopausal women, those receiving MHT had higher Lactobacillus abundance but lower abundance of diverse anaerobes and diversity of the vaginal microbial community compared to non-MHT women. MHT in postmenopausal women may potentially contribute to reestablishing vaginal microbiota homeostasis. Findings in this pilot study, however, need to be examined in larger, prospective studies.

Therapeutic inertia in obesity management among people living with obesity from the perspective of general/family practitioners in Canada: A mixed-methods study.

This mixed-methods study aimed to explore factors contributing to therapeutic inertia among people living with obesity in Canada from the perspective of general/family practitioners (GP/FPs). One-on-one interviews and online surveys guided by the Theoretical Domains Framework were conducted. A total of 20 general/family practitioners were interviewed and 200 general/family practitioners were surveyed. Key findings from interviews were used to guide the development of the survey. Spearman's correlation analysis evaluated the association between general/family practitioners theme domain scores and their familiarity with the 2020 Canadian Adult Obesity Clinical Practice Guidelines. The 200 general/family practitioners surveyed provided representation across Canada, with diversity in age, background, and gender. The most prominent domains related to therapeutic inertia that were positively influenced by familiarity with Clinical Practice Guidelines were Beliefs about Capabilities (rs = .27; p < .01), Skills (rs = .23; p < .01), Behavioural Regulation (rs = .24; p < .01) and Emotions (rs = .23; p < .01). Irrespective of their familiarity with Clinical Practice Guidelines, most general/family practitioners reported that environmental and contextual barriers impact obesity management. Particularly, while financial barriers were reported by participants regardless of Clinical Practice Guidelines familiarity, general/family practitioners familiar with Clinical Practice Guidelines more often reported having time to discuss obesity management with patients. This study identified perceptions, resource and training considerations that contribute to healthcare decision-making and therapeutic inertia in obesity management among general/family practitioners and highlighted key areas to target with interventions in primary care to facilitate obesity management, which should be multi-faceted, with a focus on incorporating obesity education into healthcare providers training programs and improving systemic and financial support.

Huperzine A targets Apolipoprotein E: A potential therapeutic drug for diabetic nephropathy based on omics analysis

AimsDiabetic nephropathy (DN) is a major complication of diabetes mellitus (DM) without curative interventions currently. Huperzine A (Hup A), a natural alkaloid, has demonstrated significant hypoglycemic and anti-inflammatory effects. We aim to investigate the protective effects of Hup A on DN and explore the underlying mechanisms MethodsWe applied STZ induced diabetic rats as DN model and leveraged combination analysis of the transcriptome, metabolome, microbiome, and network pharmacology (NP). The total effect of Hup A on DN was detected (i.e. urine protein, renal tissue structure) and the differential genes were further verified at the level of diabetic patients, db/db mice and cells. Clinical data and small interfering RNA (siRNA)-Apoe were adopted. ResultsHup A alleviated kidney injury in DN rats. Transcriptomics data and Western blot indicated that the improvement in DN was primarily associated with Apoe and Apoc2. Additionally, metabolomics data demonstrated that DN-induced lipid metabolism disruption was regulated by Hup A, potentially involving sphingosine. Hup A also enriched microbial diversity and ameliorated DN-induced microbiota imbalance. Spearman's correlation analysis demonstrated significant associations among the transcriptome, metabolome, and microbiome. Apoe level was positively correlated with clinical biomarkers in DN patients. Si-Apoe also played protective role in podocytes. NP analysis also suggested that Hup A may treat DN by modulating lipid metabolism, microbial homeostasis, and apoptosis, further validating our findings. ConclusionsCollectively, we provide the first evidence of the therapeutic effect of Hup A on DN, indicating that Hup A is a potential drug for the prevention and treatment of DN.

CD24 affects the immunosuppressive effect of tumor-infiltrating cells and tumor resistance in a variety of cancers

BackgroundCluster of differentiation 24 (CD24) is a highly glycosylated glycosylphosphatidylinositol (GPI)-anchored surface protein, expressed in various tumor cells, as a "don't eat me" signaling molecule in tumor immune. This study aimed to investigate the potential features of CD24 in pan-cancer.MethodsThe correlations between 22 immune cells and CD24 expression were using TIMER analysis. R package “ESTIMATE” was used to predict the proportion of immune and stromal cells in pan-cancer. Spearman's correlation analysis was performed to evaluate the relationships between CD24 expression and immune checkpoints, chemokines, mismatch repair, tumor mutation burden and microsatellite instability, and qPCR and western blot were conducted to assess CD24 expression levels in liver hepatocellular carcinoma (LIHC). In addition, loss of function was performed for the biological evaluation of CD24 in LIHC.ResultsCD24 expression was positively correlated with myeloid cells, including neutrophils and myeloid-derived suppressor cells, in various tumors, such as BLCA, HNSC-HPV, HNSC, KICH, KIRC, KIRP, TGCT, THCA, THYM, and UCEC. In contrast, anti-tumor NK cells and NKT cells showed a negative association with CD24 expression in BRCA-Her2, ESCA, HNSC-HPV, KIRC, THCA, and THYM. The top three tumors with the highest correlation between CD24 and ImmuneScore were TGCT, THCA, and SKCM. Functional enrichment analysis revealed CD24 expression was negatively associated with various immune-related pathways. Immune checkpoints and chemokines also exhibited inverse correlations with CD24 in CESC, CHOL, COAD, ESCA, READ, TGCT, and THCA. Additionally, CD24 was overexpressed in most tumors, with high CD24 expression in BRCA, LIHC, and CESC correlating with poor prognosis. The TIDE database indicated tumors with high CD24 expression, particularly melanoma, were less responsive to PD1/PD-L1 immunotherapy. Finally, CD24 knockdown resulted in impaired proliferation and cell cycle progression in LIHC.ConclusionCD24 participates in regulation of immune infiltration, influences patient prognosis and serves as a potential tumor marker.

Impact of untreated tannery wastewater in the evolution of multidrug-resistant bacteria in Bangladesh

The tannery industry produces one of the worst contaminants, and unsafe disposal in nearby waterbodies and landfills has become an imminent threat to public health, especially when the resulting multidrug-resistant bacteria and heavy metals enter community settings and animal food chains. In this study, we have collected 10 tannery wastewater (TWW) samples and 10 additional non-tannery wastewater (NTW) samples to compare the chemical oxygen demand (COD), pH, biological oxygen demand (BOD), dissolved oxygen (DO), total dissolved solids (TDS), chromium concentration, bacterial load, and antibiotic resistance profiles. While COD, pH, and chromium concentration data were previously published from our lab, this part of the study uncovers that TWW samples had a significantly higher bacterial load, compared to the non-tannery wastewater samples (5.89 × 104 and 9.38 × 103 cfu/mL, respectively), higher BOD and TDS values, and significantly lower DO values. The results showed that 53.4, 46.7, 40.0, and 40.0% of the TWW isolates were resistant to ceftriaxone, erythromycin, nalidixic acid, and azithromycin, respectively. On the other hand, 20.0, 30.0, 50.0, and 40.0% of the NTW isolates were resistant to the same antibiotics, respectively. These findings suggest that the TWW isolates were more resistant to antibiotics than the NTW isolates. Moreover, the TWW isolates exhibited higher multidrug resistance than the NTW isolates, 33.33, and 20.00%, respectively. Furthermore, spearman correlation analysis depicts that there is a negative correlation between BOD and bacterial load up to a certain level (r = − 0.7749, p = 0.0085). In addition, there is also a consistent negative correlation between COD and bacterial load (r = − 0.7112, p = 0.0252) and TDS and bacterial load (r = − 0.7621, p = 0.0104). These findings suggest that TWW could pose a significant risk to public health and the environment and highlight the importance of proper wastewater treatment in tannery industries.

Perceived Social Support and Health-Related Quality of Life Among Hypertensive Patients: A Latent Profile Analysis and the Role of Delay Discounting and Living Alone.

Improving health-related quality of life (HRQoL) among hypertensive individuals has emerged as a significant public health issue. However, current research has ignored the individual heterogeneity of perceived social support (PSS) among hypertensive patients. The potential mechanism of delay discounting (DD), living alone, and PSS on HRQoL remains unclear, and further exploration is required. This study aimed to ascertain PSS profiles among hypertensive patients and examine the hypotheses that DD mediates the relationship between PSS and HRQoL and that this mediating process is moderated by living alone in hypertensive patients. A cross-sectional study was carried out in Jiangsu, China. In total, 1815 hypertensive patients completed socio-demographic and HRQoL questionnaires, a PSS scale, and a DD task. Data analyses included a latent profile analysis, χ2-test, Spearman correlation analysis, and PROCESS macro for regression analysis. Four potential PSS profiles were identified: lowest (3.2%), moderate-low (26.6%), moderate-high (42.4%), and highest (27.8%). DD mediated the association between PSS and HRQoL. The first half of this mediating process was moderated by living alone. Our findings indicated that PSS, DD, and living alone significantly influence the HRQoL of individuals with hypertension. Healthcare professionals should consider variations in PSS among hypertensive patients and implement interventions to reduce DD by enhancing PSS, in order to improve the HRQoL of this population.

Multi-pool chemical exchange saturation transfer MRI in glioma grading, molecular subtyping and evaluating tumor proliferation.

To evaluate the performance of multi-pool Chemical exchange saturation transfer (CEST) MRI in prediction of glioma grade, isocitrate dehydrogenase (IDH) mutation, alpha-thalassemia/mental retardation syndrome X-linked (ATRX) loss and Ki-67 labeling index (LI), based on the fifth edition of the World Health Organization classification of central nervous system tumors (WHO CNS5). 95 patients with adult-type diffuse gliomas were analyzed. The amide, direct water saturation (DS), nuclear Overhauser enhancement (NOE), semi-solid magnetization transfer (MT) and amine signals were derived using Lorentzian fitting, and asymmetry-based amide proton transfer-weighted (APTwasym) signal was calculated. The mean value of tumor region was measured and intergroup differences were estimated using student-t test. The receiver operating curve (ROC) and area under the curve (AUC) analysis were used to evaluate the diagnostic performance of signals and their combinations. Spearman correlation analysis was performed to evaluate tumor proliferation. The amide and DS signals were significantly higher in high-grade gliomas compared to low-grade gliomas, as well as in IDH-wildtype gliomas compared to IDH-mutant gliomas (all p < 0.001). The DS, MT and amine signals showed significantly differences between ATRX loss and retention in grade 2/3 IDH-mutant gliomas (all p < 0.05). The combination of signals showed the highest AUC in prediction of grade (0.857), IDH mutation (0.814) and ATRX loss (0.769). Additionally, the amide and DS signals were positively correlated with Ki-67 LI (both p < 0.001). Multi-pool CEST MRI demonstrated good potential to predict glioma grade, IDH mutation, ATRX loss and Ki-67 LI.

SARS-COV-2 breakthrough infection and its covariates among healthcare providers of a hospital in Bangladesh during the omicron wave

IntroductionBreakthrough infection by SARS-COV-2 virus among vaccinated individuals has been reported from all over the world and it has created a substantial challenge in designing strategies to live with the virus in the post-pandemic era. Factors affecting the extent and nature of breakthrough infection are still not fully understood and those are known to vary depending on host and agent factors. Health Care Workers (HCWs), especially in hospital settings, are front-liners in combating the epidemic and, consequently, they are more vulnerable to breakthrough infection by SARS-COV-2. Like most of the countries of the world, Bangladesh went through several waves of COVID-19 and the last (3rd wave) was the widespread Omicron wave during the winter of 2022. HCWs in Bangladesh have been disproportionately affected by the virus. Under this context, the aim of the present study was to explore breakthrough infection (BTI) and its host-related covariates among HCWs of a COVID-dedicated city-based hospital during the Omicron wave in Bangladesh. Materials and methodsAn observational cross-sectional study was conducted on 267 HCWs of the Narayanganj Tertiary (300-bed) hospital during February–March 2022 which coincided with the terminal part of the 3rd wave. Data were collected by trained Field Assistants using Interviewer-administered Data Collection Forms with Questionnaires as instruments. Previous COVID-19 status (any time after the onset of the pandemic and within last 3 months) was explored by the history of specific symptoms as well as by the confirmatory rtPCR test reports from DGHS approved laboratories Anti-nucleocapsid antibody (Anti-N-Ab) in venous blood samples, assayed by a chemiluminescent ELISA technique, was used as a seroprevalence-based marker of breakthrough infection during the preceding few months. Data were analyzed by bivariate as well as multivariate statistics using the IBM-SPSS software. ResultsThe median age (range) of the HCWs was 38 (21–65) years; Body Mass Index (BMI, kg/m2) 25 (15–49); and Waist-Hip Ratio (WHR) was 0.92 (0.46–1.21). The male subjects had significantly higher median age (p = 0.01) and higher WHR (p = 0.001) as compared to the female subjects. As per the BMI category, subjects with overweight and obesity constituted 83.3 % of the male subjects as compared to 61.6 % of the female subjects (p = 0.001). The time lapse between receiving of 3rd dose and blood sampling was significantly higher among females compared to males (median days 60 vs 49, p < 0.02) indicating earlier vaccination with 1st booster dose among females. A proportion of 51.85 % male and 49.68 % female subjects showed Anti-N-Ab positivity; there was no significant difference between the gender groups. Also, there was no significant difference among male and female subjects regarding the Ab levels. On Spearman correlation analysis, a tendency of association of WHR with Ab level was observed among the male subjects; however, the association did not show statistical significance (p = 0.09). On binary logistic regression Ab positivity was found to be independently associated with WHR (p = 0.03), and prior SARS-COV-2 infection within the last 3 months (p = 0.02) among males. When all the subjects were considered together, COVID symptom positivity during the last 3 months (p = 0.067) and receiving the 1st booster dose (p = 0.07) showed a tendency of association with Ab positivity. On multiple regression analysis, Ab levels showed a negative association with WHR (p = 0.035) among males. ConclusionsMore than 50 % of the vaccinated hospital-based HCWs in Bangladesh suffered from BTI during the winter of 2022 when the Omicron wave (the 3rd wave) of COVID-19 was at its peak. The data also indicate that overweight and obesity are major host-related risk factors underlying BTI. Inadequate coverage by a booster dose seems to be another determinant of BTI and the level of immune response in this population.

The Application Value of Using Semiquantitative and Quantitative Parameters in Multimodal Ultrasound to Distinguish Between Benign and Malignant BI-RADS 4 Lesions.

This study aims to explore the value of real-time strain elastography (RTE) and contrast-enhanced ultrasonography (CEUS) in the diagnosis of breast BI-RADS 4 lesions. It collected 85 cases (totaling 85 lesions) diagnosed with breast BI-RADS 4 through routine ultrasound from October 2020 to December 2022 in Huangshan City People's Hospital. All lesions underwent RTE and CEUS examination before surgery, and the ImageJ software was used to measure the periphery of lesion images in the enhancement peak mode and grayscale mode to calculate the contrast-enhanced ultrasound area ratio. The diagnostic capabilities of single-modal and multimodal ultrasound examination for the malignancy of breast BI-RADS 4 lesions were compared using the receiver operating characteristic curve; the Spearman correlation analysis was adopted to evaluate the correlation between multimodal ultrasound and CEUS area ratio. As a result, among the 85 lesions, 51 were benign, and 34 were malignant. The areas under the curve (AUCs) of routine ultrasound (US), US + RTE, US + CEUS, and US + RTE + CEUS were 0.816, 0.928, 0.953, and 0.967, respectively, with the combined method showing a higher AUC than the single application. The AUC of the CEUS area ratio diagnosing breast lesions was 0.888. There was a strong positive correlation (r = 0.819, P < 0.001) between the diagnostic performance of US + RTE + CEUS and the CEUS area ratio. In conclusion, based on routine ultrasound, the combination of RTE and CEUS can further improve the differential diagnosis of benign and malignant lesions in breast BI-RADS 4.

Correlation of hysteroscopic findings of chronic endometritis with CD138 immunohistochemistry and their correlation with pregnancy outcomes.

To investigate the correlation between hysteroscopic findings of chronic endometritis and CD138 immunohistochemistry positive in endometritis and to analyze the pregnancy outcomes and associated risk factors following embryo transfer in women diagnosed with chronic endometritis via hysteroscopy. A retrospective observational study carried out at the Reproductive Medicine Center of Tangdu Hospital of Air Force Medical University, from January 2021 to December 2021, was performed by obtaining data from 194 medical records of women who underwent hysteroscopies for infertility and were diagnosed with chronic endometritis based on Delphi criteria. Spearman correlation analysis was used to evaluate the correlation between hysteroscopic findings and endometrial CD138 immunohistochemistry. The study also observed the differences in relevant indexes between the CD138-positive and CD138-negative groups after embryo transfer and analyzed factors influencing implantation failure using logistic regression analysis. The correlation analysis between hysteroscopic findings and CD138 immunohistochemistry showed that micropolyps were correlated with CD138 immunohistochemistry positivity. The correlation coefficient was 0.32 (P < 0.01). After embryo transfer, the clinical pregnancy rate of the CD138-positive group was lower compared to that of the CD138-negative group [64.79% (46/71) vs. 81.30% (100/123), P < 0.05]. The results of the multivariate logistic regression analysis revealed that age (P = 0.43) and CD138 immunohistochemistry positivity (P = 0.008) were the independent risk factors for predicting whether or not embryo implantation was successful. Hysteroscopic findings do not correlate strongly with endometrial CD138 immunohistochemistry, and chronic endometritis cannot be diagnosed by hysteroscopy alone. CD138 immunohistochemistry positivity is an independent factor contributing to the decrease in clinical pregnancy rate following embryo transfer.

Utilising GIS for Studying Urban Entropy, Population Dynamics, and Ventilation Disparity: A Case Study of Changing Land Use, Land Cover, and Socially Vulnerable Hotspots in Hyderabad, India

Citywide ventilation studies are challenging because they involve complicated interactions between various variables, including anthropogenic variables, housing conditions, and socio-economic considerations. The present paper aims to clarify the complex interactions between these three vital variables and the restricted ventilation zones. The ventilation patterns from 1990 to 2020 are meticulously examined in the first half of this research. This study observed the expansion of built-up areas, which increased from 13.7% in 1990 to 51.8% in 2020. The remainder of the paper explores population dynamics in locations with poor ventilation. In severely ventilated areas, the population increased from 10.7% in 1990 to 16.6% in 2020. The percentage of severely ventilated areas increased from 0.7% in 1990 to 31.6% in 2020, highlighting the urgent need to address ventilation inequities in urban planning. The research uses Spearman correlation analysis, which shows that industrial areas have a substantial positive association with ventilation disparities among anthropogenic factors, indicating the effect of industrial zones on decreased ventilation. The absence of toilets is a powerful and substantial housing variable contributing to poor ventilation. Additionally, the existence of the Total Scheduled Caste population within the socio-economic variables exhibits a strong and significant association, indicating that social issues are intricately linked to ventilation disparities. This research provides critical insights that can inform urban planning and policy decisions to improve ventilation and living conditions in densely populated cities.

How atmospheric deposition contribute to watershed heavy metals contamination in coastal watersheds in China: A case study of Laizhou Bay

Atmospheric deposition is a significant source of heavy metal (HM) pollution. In order to understand the migration and transformation process of atmospheric HMs within the watershed and quantify the amount transported offshore by rivers, the Soil and Water Assessment Tool (SWAT) was developed to trace the migration of HMs from atmospheric deposition. The model simulates HMs in three forms: dissolved, adsorbed, and granular. It quantifies the movements of Cd, Cr, Cu, Hg, Pb, and Zn from atmospheric deposition into the sea via rivers in five coastal watersheds in East China and analyzes the effects of meteorological factors, vegetation cover, and slope on non-point pollution of these metals by Spearman correlation analysis. The results showed that the annual flux of HMs from atmospheric deposition to the sea through rivers accounted for 5 %–69 % of the total rivers flux. Among meteorological factors, precipitation demonstrated the strongest correlation with the monthly loads of HMs entering rivers from atmospheric deposition. Additionally, HMs loads entering rivers from atmospheric deposition were more closely related to vegetation cover than topographic slope. This model provides a new approach to distinguishing the flux of atmospheric HMs entering offshore waters through rivers. The findings will deepen our understanding of the migration and transformation of HMs from atmospheric deposition, enhance the ability to control offshore HMs pollution, and reduce the ecological risks associated by HMs.