Correlation Analysis Research Articles

Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model

Objective: This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer. Methods: A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness. Results: The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model (P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model (P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort (P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort (P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions: T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Highly expressed of BID indicates poor prognosis and mediates different tumor microenvironment characteristics in clear cell renal cell carcinoma.

Studies have found that BH3 interacting domain death agonist (BID) is closely related to the occurrence and development of many kinds of tumors. However, little attention has been paid to the situation of BID in clear cell renal cell carcinoma (ccRCC). So, our aim was to explore the effect of BID in ccRCC. Survival analysis, ROC curve, correlation analysis and Cox regression analysis were executed to analyze the prognostic value and clinical correlation of BID in ccRCC. The risk prognosis model was constructed in the training cohort and further validated in the internal testing cohort, ICGC cohort, and GEO cohort. Transcriptome sequencing and immunohistochemical staining of clinical specimens were used to validate the results of bioinformatics analysis. The GSEA, ESTIMATE algorithm, CIBERSORT algorithm, ssGSEA, TIDE score, correlation and difference analysis were used to analyze the effects of BID on immune infiltration in tumor microenvironment (TME). BID was highly expressed in ccRCC tissues, which was verified by transcriptome sequencing and immunohistochemical staining of clinical specimens. Patients with high expression of BID had a worse prognosis. BID is an independent prognostic factor for ccRCC. The prognostic model based on BID can accurately predict the prognosis of patients in different cohorts. In addition, the expression levels of BID was closely related to immunomodulatory molecules such as PD-1, LAG3, and CTLA4. Enrichment analysis indicated that BID was significantly enriched in immune-related responses and cancer-related pathways. The change of BID expression mediates different characteristics of immune infiltration in TME. BID is highly expressed in ccRCC, which is a reliable biomarker of ccRCC prognosis. It is closely related to TME, and may be a potential target for immunotherapy in patients with ccRCC.

Spatio-temporal characterization of phenotypic resistance in malaria vector species.

Malaria, a deadly disease caused by Plasmodium protozoa parasite and transmitted through bites of infected female Anopheles mosquitoes, remains a significant public health challenge in sub-Saharan Africa. Efforts to eliminate malaria have increasingly focused on vector control using insecticides. However, the emergence of insecticide resistance (IR) in malaria vectors pose a formidable obstacle, and the current IR mapping models remain static, relying on fixed coefficients. This study introduces a dynamic spatio-temporal approach to characterize phenotypic resistance in Anopheles gambiae complex and Anopheles arabiensis. We developed a cellular automata (CA) model and applied it to data collected from Ethiopia, Nigeria, Cameroon, Chad, and Burkina Faso. The data encompasses georeferenced records detailing IR levels in mosquito vector populations across various classes of insecticides. In characterizing the dynamic patterns of confirmed resistance, we identified key driving factors through correlation analysis, chi-square tests, and extensive literature review. The CA model demonstrated robustness in capturing the spatio-temporal dynamics of confirmed IR states in the vector populations. In our model, the key driving factors included insecticide usage, agricultural activities, human population density, Land Use and Land Cover (LULC) characteristics, and environmental variables. The CA model developed offers a robust tool for countries that have limited data on confirmed IR in malaria vectors. The embrace of a dynamical modeling approach and accounting for evolving conditions and influences, contribute to deeper understanding of IR dynamics, and can inform effective strategies for malaria vector control, and prevention in regions facing this critical health challenge.

Long-term administration of royal jelly regulates age-related disorders and improves gut function in naturally aging mice.

A natural aging mouse model can exhibit physiological characteristics that closely resemble those of human aging. Through long-term observation, it reflects the occurrence and development of the aging process more accurately. Although numerous beneficial effects of royal jelly (RJ) have been extensively demonstrated in multiple experimental models, the effects of RJ on naturally aging mice have not yet been investigated. In this study, middle-aged male C57BL/6J mice were given RJ for 9 consecutive months to investigate its impact on the intestinal barrier function, gut microbiota, short-chain fatty acids (SCFAs) content and possible mechanisms. The results confirmed that RJ modulated serum lipids by reducing the levels of total cholesterol (TC), triglycerides (TG), and low-density lipoprotein cholesterol (LDL-C). Additionally, it protected the liver by increasing antioxidant enzyme levels while decreasing inflammatory cytokines TNF-α (by 51.97%), IL-6 (by 29.73%), and IL-1β (by 43.89%). Furthermore, RJ inhibited the expression of cell cycle-dependent kinase inhibitors including p16, p21, and p53. Importantly, RJ ameliorated gut dysfunctions by inhibiting reduction of tight junction proteins and reducing inflammatory cytokines content in the colon. We also observed an alteration in gut microbiota characterized by an elevated ratio of Firmicutes to Bacteroides (F/B) along with increased abundance of beneficial bacteria, i.e., Lachnospiraceae NK4A136 and Akkermansia. Correlation analysis revealed positive associations between most bacterial genera and SCFAs production. Functional profiling of gut microbiota composition indicated that RJ intervention regulated amino acid metabolism, glycan biosynthesis, and cofactor/vitamin metabolism. Overall, our findings provide an effective dietary intervention strategy for modulating age-associated frailty through the modulation of the gut microbiota.

The role of breastfeeding and formula feeding regarding depressive symptoms and an impaired mother child bonding.

Associations between depressive symptoms and breastfeeding are well documented. However, evidence is lacking for subdivisions of feeding styles, namely exclusive breastfeeding, exclusive formula feeding and a mixed feeding style (breastfeeding and formula feeding). In addition, studies examining associations between mother-child-bonding and breastfeeding have yielded mixed results. The aim of this study is to provide a more profound understanding of the different feeding styles and their associations with maternal mental health and mother-child-bonding. Data from 307 women were collected longitudinally in person (prenatally) and by telephone (3months postnatally) using validated self-report measures, and analyzed using correlational analyses, unpaired group comparisons and regression analyses. Our results from a multinomial regression analysis revealed that impaired mother-child-bonding was positively associated with mixed feeding style (p = .003) and depressive symptoms prenatal were positively associated with exclusive formula feeding (p = .013). Further studies could investigate whether information about the underlying reasons we found for mixed feeding, such as insufficient weight gain of the child or the feeling that the child is unsatiated, could help prevent impaired mother-child-bonding. Overall, the results of this study have promising new implications for research and practice, regarding at-risk populations and implications for preventive measures regarding postpartum depression and an impaired mother-child-bonding.

Normal spinopelvic parameters and correlation analysis in 217 asymptomatic children.

Understanding spinal sagittal balance is crucial for assessing and treating spinal deformities in pediatric populations. The aim of the present observational study is to examine the parameters of sagittal alignment of the regional spine and spinopelvic region in asymptomatic pediatric populations and the characteristics of these parameters with age and sex. We enrolled 217 participants, consisting of 112 males (51.6%) and 105 females (48.4%), aged between 4 and 15years, with an average age of 12.19years. Pelvic incidence, pelvic tilt, sacral slope, lumbar lordosis, thoracic kyphosis, T1 slope, C7 slope, cervical sagittal vertical axis, and C2-7 Cobb angle were measured. Three spine surgeons conducted radiographic measurements utilizing the PACS software. The measurement reliability was assessed through ICCs. Our results show significant age-related changes in pelvic tilt and cervical sagittal vertical axis, with notable gender differences in pelvic tilt, lumbar lordosis, and thoracic kyphosis. Girls have larger PT, boys have larger cSVA. PI, PT, and cSVA also differ among different age groups. Correlation analysis shows that a series of relationships that align with adult population patterns between pelvic incidence, pelvic tilt, sacral slope, lumbar lordosis, and thoracic kyphosis. Significant variations in PT and cSVA across diverse age cohorts highlights notable disparities in the distribution of PT and cSVA values within the pediatric population. Gender-based differences in PT, LL, and TK and correlation in spinopelvic parameter could enhances our understanding of compensatory mechanisms.

Association between quality of discharge teaching and self-management in patients after percutaneous coronary intervention: A chain mediation model.

To examine chain mediating effect of discharge readiness and self-efficacy between quality of discharge teaching and self-management in patients after percutaneous coronary intervention (PCI). Although self-management after PCI has significant benefits in controlling risk factors and delaying disease progression, the status of self-management remains unoptimistic. A large number of studies have explored the close relationship between the quality of discharge teaching and patients self-management, but little is known about the underlying mechanisms. The cross-sectional samples was collected from a tertiary hospital in China. Self-reported questionnaires were used to assess quality of discharge teaching, discharge readiness, self-efficacy and self-management. Pearson correlation analysis and mediation effect analysis were used for statistical analysis. The study used the STROBE checklist for reporting. A total of 198 patients with a mean age of 64.99 ± 11.32 (34-85) were included. The mean score of self-management was 88.41 ± 11.82. Quality of discharge teaching, discharge readiness, self-efficacy and self-management were all positively correlated. Mediation effect analysis showed that the mediating effects of discharge readiness, self-efficacy, discharge readiness and self-efficacy between quality of discharge teaching and self-management were 0.157, 0.177 and 0.049, respectively, accounting for 21.96%, 24.76% and 6.85% of the total effect. The quality of discharge teaching for patients after PCI not only directly affects self-management, but also can indirectly affect self-management through discharge readiness and self-efficacy. To improve the life quality of patients after PCI, medical staff should pay attention to the influence of self-management of quality of discharge teaching, and develop intervention strategies based on the path of discharge readiness and self-efficacy. Questionnaires filled out by patients were used to understand the association between quality of discharge teaching, discharge readiness, self-efficacy and self-management.

The Effects of a Nonpharmacological Intervention Practice for Older Adults with Mild Cognitive Impairment and Their Family Caregivers in China.

Mild cognitive impairment (MCI) marks a critical phase in the progression to dementia. In our study, social workers utilized the Multicomponent Nonpharmacological Intervention Approach (MCNIA) to aid MCI participants (N = 52) and their caregivers, dividing into intervention and control groups. The intervention group underwent an additional regimen of non-pharmacological therapies besides pharmacological treatment. Our findings highlighted that: 1) MCNIA significantly enhanced cognitive and daily living abilities in the intervention group; 2) Caregivers experienced reduced burdens and improved social support; 3) Correlation analyses involving biomarkers indicated that MCNIA was particularly effective in alleviating depression in those with slightly more severe cognitive impairment.

Repeatability, interocular correlation and agreement of optic nerve head vessel density in healthy eyes: a swept-source optical coherence tomographic angiography study.

To assess the repeatability, interocular correlation, and agreement of quantitative swept-source optical coherence tomography angiography (OCTA) optic nerve head (ONH) parameters in healthy subjects. Thirty-three healthy subjects were enrolled. The ONH of both eyes were imaged four times by a swept-source-OCTA using a 3 mm ×3 mm scanning protocol. Images of the radial peripapillary capillary were analyzed by a customized Matlab program, and the vessel density, fractal dimension, and vessel diameter index were measured. The repeatability of the four scans was determined by the intraclass correlation coefficient (ICC). The most well-centered optic disc from the four repeated scans was then selected for the interocular correlation and agreement analysis using the Pearson correlation coefficient, ICC and Bland-Altman plots. All swept-source-OCTA ONH parameters exhibited certain repeatability, with ICC>0.760 and coefficient of variation (CoV)≤7.301%. The obvious interocular correlation was observed for papillary vessel density (ICC=0.857), vessel diameter index (ICC=0.857) and fractal dimension (ICC=0.906), while circumpapillary vessel density exhibited moderate interocular correlation (ICC=0.687). Bland-Altman plots revealed an agreement range of -5.26% to 6.21% for circumpapillary vessel density. OCTA ONH parameters demonstrate good repeatability in healthy subjects. The interocular correlations of papillary vessel density, fractal dimension and vessel diameter index are high, but the correlation for circumpapillary vessel density is moderate.

Development and validation of a short clinical risk management implementation (Short CRiMI) questionnaire.

Clinical Risk Management (CRM) is an important instrument to continuously improve safety of health care delivery. In Germany, hospitals are required by law to implement CRM and incidence reporting systems. Since 2010, nation-wide surveys have been conducted periodically to evaluate implementation of CRM in hospitals. The instrument used in these surveys is constantly being updated to reflect previous experiences, as well as to adapt to ongoing trends and developments in CRM practices. The survey instrument used in 2022 consisted of up to 200 items and took up to an hour to complete. In this study, we aimed to develop a short instrument to measure the level of CRM implementation in hospitals, evaluate its psychometric properties, and to offer benchmarking data for health care facilities of different sizes. We used data collected in 2022 as part of KHaSiMiR study, employing a cross-sectional self-reported online survey. The hospital administrations were invited to designate one CRM manager to participate in the study. Out of 1,411 general hospitals invited, 401 responses were collected (response rate of 28%). After removing the cases with excessive missings, we imputed remaining missing values using multiple imputation, and split the resulting sample (n=362) in two halves (i.e., exploratory and testing subsamples). A principal component analysis was applied on the first subsample. We validated the resulting model using confirmatory factor analysis in the testing subsample. We evaluated internal consistency, and tested external validity of the established instrument using correlation analysis with two single-item measures: subjective evaluation of CRM implementation compared to similar organizations and compared to own ideal level. The principal component analysis included 45 items from the full instrument. The analysis resulted in a three-factor model with 26 items. In the confirmatory factor analysis, the model demonstrated acceptable fit with the data according to the commonly used fit indices: Chi2/df=1.36, CFI=0.941, TLI=0.930, RMSEA=0.045 (90% CI=0.032-0.056), SRMR=0.049. Cronbach's alpha of all three factors was good (>0.70). All three factors had statistically significant positive correlations with each other (0.359-0.497) and with the two single items (0.282-0.532). None of the correlations were high enough (>0.7) to indicate multicollinearity. The proposed short clinical risk management implementation (Short CRiMI) questionnaire is psychometrically valid and can be used to rapidly evaluate CRM implementation in hospitals. Further research can provide evidence of its external validity and association with quality and safety outcomes. Benchmarking data can be used to compare the results with the data from the most recent Germany-wide survey.

Same job, same working conditions? A cross-sectional study to examine the similarities and differences of the working situation in ambulatory and residential youth welfare workers.

Employees in social work exhibit high rates of sick leave due to mental health issues. Additionally, work-related demands in youth welfare have increased in recent years. Particularly in light of the escalating shortage of skilled professionals in this field, this trend becomes especially critical. The aim of this study is to systematically examine health-relevant working conditions, coping strategies, and health indicators in youth welfare. A special focus is placed on a differentiated analysis of job-related characteristics in the context of outpatient and residential youth welfare. Mean values, standard deviations and the reliability of scales are measured. In addition to descriptive statistics, t-tests for analyzing mean differences, as well as correlation analyses and odds ratios as measures of association, are computed. A total of N = 1044 employees in youth welfare participated in the online survey. Among them, 671 individuals belonged to the field of residential youth welfare, and 373 to outpatient youth welfare. The results indicate that, in youth welfare in general, a variety of emotional, social, qualitative, and quantitative demands exhibit high levels. The comparison between outpatient and residential youth welfare reveals differences in half of the demands. The significant differences are observed for social demands and aggression from clients, which are statistically significant higher in the residential setting. Regarding resources, the most significant difference is observed for autonomy, which is higher in the outpatient setting. Overall, the association patterns reveals more similarities than differences between outpatient and residential settings. In both settings working conditions seem to have deteriorated during the pandemic. In conclusion, the identified job-related characteristics in outpatient and residential youth welfare exhibit more similarities than differences. Nevertheless, the identified differences provide insights into the specific features of each work context, offering valuable starting points for targeted health promotion in practice. This trial is recorded at the Hamburg University Ethics Committee (AZ 2022_027).

American Football On-Field Head Impact Kinematics: Influence of Acceleration Signal Characteristics on Peak Maximal Principal Strain.

Recorded head kinematics from head-impact measurement devices (HIMd) are pivotal for evaluating brain stress and strain through head finite element models (hFEM). The variability in kinematic recording windows across HIMd presents challenges as they yield inconsistent hFEM responses. Despite establishing an ideal recording window for maximum principal strain (MPS) in brain tissue, uncertainties persist about the impact characteristics influencing vulnerability when this window is shortened. This study aimed to scrutinize factors within impact kinematics affecting the reliability of different recording windows on whole-brain peak MPS using a validated hFEM. Utilizing 53 on-field head impacts recorded via an instrumented mouthguard during a Canadian varsity football game, 10 recording windows were investigated with varying pre- and post-impact-trigger durations. Tukey pair-wise comparisons revealed no statistically significant differences in MPS responses for the different recording windows. However, specific impacts showed marked variability up to 40%. It was found, through correlation analyses, that impacts with lower peak linear acceleration exhibited greater response variability across different pre-trigger durations. Signal shape, analyzed through spectral analysis, influenced the time required for MPS development, resulting in specific impacts requiring a prolonged post-trigger duration. This study adds to the existing consensus on standardizing HIMd acquisition time windows and sheds light on impact characteristics leading to peak MPS variation across different head impact kinematic recording windows. Considering impact characteristics in research assessments is crucial, as certain impacts, affected by recording duration, may lead to significant errors in peak MPS responses during cumulative longitudinal exposure assessments.

Associations between genetic mutations in different SARS-CoV-2 strains and negative conversion time of viral RNA among imported cases in Hangzhou: a cross-sectional study.

Previous studies on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have focused on factors that influence the achievement of negative conversion of viral RNA. This study aimed to investigate the effects of the genetic mutations in different SARS-CoV-2 strains on the negative conversion time (NCT) among imported cases in Hangzhou, Zhejiang Province, China, in order to provide valuable insights for developing targeted epidemic prevention guidelines. This retrospective study involved 146 imported SARS-CoV-2 cases in Hangzhou from 8 April 2021 to 11 June 2022. We compared the SARS-CoV-2-specific indicators, clinical indexes, and NCT among the wild-type (WT), Delta, and Omicron groups. Spearman correlation analysis was used to identify the correlations of NCT with mutation types/frequencies. The mean age of the imported cases was 35.3 (SD: 12.3) years, with 71.92% males and 28.08% females. The mean cycle threshold (Ct) values of open reading frame 1ab (ORF1ab) and nucleocapsid (N) RNA were 25.17 (SD: 6.44) and 23.4 (SD: 6.76), respectively. The mutations of SARS-CoV-2 strains were mainly located in N, membrane (M), spike (S), ORF1a, ORF1b, ORF3a, ORF6, and ORF9b genes among the WT, Delta, and Omicron groups. NCT was significantly prolonged in the WT and Delta groups compared to the Omicron group. T lymphocyte, white blood cell, eosinophil, and basophil counts were dramatically higher in the WT group than the Delta group. White blood cell, red blood cell, and basophil counts were significantly lower in the Delta group than the Omicron group. Spearman correlation analysis revealed a significant correlation between the NCT of viral RNA and mutation types of viral genes of WT and Omicron strains. Additionally, NCT was markedly negatively correlated with the frequencies of five mutations in Omicron strains (ORF1b:P1223L, ORF1b:R1315C, ORF1b:T2163I, ORF3a:T223I, and ORF6:D61L). This study indicates that five mutations in Omicron strains (ORF1b:P1223L/R1315C/T2163I, ORF3a:T223I and ORF6:D61L) shortened NCT in imported SARS-CoV-2 cases.

Knowledge, attitude, and practice toward osteoporosis among patients with chronic kidney disease in Zhejiang.

Patients with chronic kidney disease (CKD) are considered high-risk group for osteoporosis. However, the current understanding of their knowledge, attitude, and practice toward osteoporosis remains unclear. CKD patients were recruited from Li Huili Hospital, Ningbo Medical Center between March 2023 and June 2023. A self-designed questionnaire was used to collect the participant's demographic characteristics and knowledge, attitude, and practice toward osteoporosis. A total of 500 valid questionnaires were included in the analysis, with participants aged 51.08 ± 14.76 years. The mean scores for knowledge, attitude, and practice were 6.67 ± 3.04 (range: 0-11), 33.99 ± 3.37 (range: 10-50), and 35.29 ± 5.54 (range: 9-45), respectively. Pearson correlation analysis revealed significant positive associations between knowledge and attitude scores (r = 0.440, P < .001), knowledge and practice scores (r = 0.376, P < .001), as well as attitude and practice scores (r = 0.403, P < .001). Structural equation modeling revealed direct associations between knowledge and attitude (path coefficient = 0.488, P < .001), and between attitude and practice (path coefficient = 0.485, P < .001). The knowledge also exhibited a directly positive effect on practice (path coefficient = 0.449, P < .001). Undergoing glucocorticoid therapy (odd ratio [OR] = 2.353, 95% confidence interval [CI]: 1.022-5.418, P = .044) and osteoporosis osteoporosis (OR = 1.565, 95% CI: 1.011-2.421, P = .044) were positively associated with knowledge. Moreover, disease duration >1 year was positively associated with practice (OR = 3.643, 95% CI: 1.754-7.565, P < .001). CKD patients demonstrated moderate knowledge, neutral attitude, and moderate practice toward osteoporosis. To address the practice gaps of CKD patients toward osteoporosis, targeted educational interventions and attitude support programs can be developed.

Preoperative assessment of bone density for dental implantation: a comparative study of three different ROI methods.

Dental cone beam computed tomography (CBCT) is commonly used to evaluate cancellous bone density before dental implant surgery. However, to our knowledge, no measurement approach has been standardized yet. This study aimed to evaluate the relationship between three different regions of interest (ROI) methods on cancellous bone density at the dental implant site using dental CBCT images. Patients' dental CBCT images (n = 300) obtained before dental implant surgery were processed using Mimics (Materialise, Leuven, Belgium). At the potential implant sites, the rectangle, cylinder, and surrounding cylinder ROI methods were used to measure bone density. Repeated measures one-way analysis of variance was performed to compare the three ROI methods in terms of measurement results. Pearson correlation analysis was performed to identify the likely pair-wise correlations between the three ROI methods. The density value obtained using the surrounding cylinder approach (grayscale value [GV],523.56 ± 228.03) was significantly higher than the values obtained using the rectangle (GV, 497.04 ± 236.69) and cylinder (GV,493 ± 231.19) ROI methods in terms of results. Furthermore, significant correlations were noted between the ROI methods (r > 0.965; p < 0.001). The density measured using the surrounding cylinder method was the highest. The choice of method may not influence the trends of measurement results. This study was approved by the Institutional Review Board of China Medical University Hospital, No. CMUH111-REC3-205. Informed consent was waived by the Institutional Review Board of China Medical University Hospital, CMUH111-REC3-205, owing to the retrospective nature of the study.

Body Adiposity Index (BAI) as a predictor of body fat in an oldest old and independent Brazilian elderly cohort.

Anthropometry and body mass index (BMI) do not assess body composition or its distribution in older adults; thus, individuals may have different fat percentages but similar BMI values. The body adiposity index (BAI) was recently proposed as a feasible and inexpensive method for estimating the percentage of body fat based on measurements of hip circumference and height. Objectives: The present study evaluated whether BAI and BMI are useful alternatives to dual-energy X-ray absorptiometry (DXA), which is rarely used in clinical practice, for predicting body fat in independent long-lived older adults. In this cross-sectional study, we used DXA to calculate the percentage of body fat, which was compared with BAI and BMI values. We performed Pearson correlation analyses and used Cronbach's alpha, described by Bland and Altman, to compare the reliability between the indexes. Among 157 evaluated individuals (73.2% women, mean age 87 years, ± 3.57), men had a lower percentage of total fat, as assessed by DXA, and lower BAI indices than women. The correlation between BAI and DXA was moderate (r = 0.59 for men and r = 0.67 for women, p < 0.001). We confirmed the reliability based on Cronbach's alpha coefficients of 0.67 in men and 0.77 in women. We also observed that the BAI was strongly positively correlated with BMI in both men and women. The BAI, used in combination with BMI, can be an alternative to DXA for the assessment of body fat in the oldest old in clinical practice, mainly women, and can be used to add information to BMI.

Elevated remnant cholesterol is a risk factor for acute ischemic stroke.

Remnant cholesterol (RC) is thought to be an important pathogenic risk factor for atherosclerosis, however, the relationship between RC and acute ischemic stroke (AIS) is still unclear. This study aimed to determine whether fasting blood RC level is an independent risk factor for AIS. A retrospective analysis was performed on 650 patients with AIS and 598 healthy controls during the same time period. The association between RC and AIS was investigated using binary logistic regression, and the relationship between RC and AIS risk was demonstrated using Restricted Cubic Splines (RCS). RC was significantly higher in the AIS group compared with control group, and was an independent risk factor for AIS when the covariates were not adjusted;After adjusting some covariates, RC was still an independent risk factor for AIS. The RCS analysis found the risk was non-linear: when RC concentration was less than 0.69 mol/L, the risk of AIS increased with the elevation of RC, and when RC concentration was more than or equal to 0.69 mol/L, the risk of AIS was insignificant with the elevation of RC. Correlation analysis revealed that RC was associated with diabetes and fasting glucose. Further analysis revealed that the incidence of AIS in diabetic patients increased significantly with the increase of RC, and RCS analysis revealed that the risk of AIS in diabetic patients increased with the increase of RC when RC was more than 1.15 mol/L. This study confirms RC as an independent risk factor for AIS, which highlights a distinct non-linear association between RC levels and AIS risk. These findings suggest the need for targeted AIS risk assessment strategies, especially in diabetic patients, and underscore the relevance of RC as a biomarker in AIS risk stratification.

Profiles of motivational impairment and their relationship to functional decline in frontotemporal dementia.

Motivational disturbances are pervasive in frontotemporal dementia (FTD) and impact negatively on everyday functioning. Despite mounting evidence of anhedonia in FTD, it remains unclear how such changes fit within the broader motivational symptom profile of FTD, or how anhedonia relates to functional outcomes. Here we sought to comprehensively characterize motivational disturbances in FTD and their respective relationships with functional impairment. A cross-sectional study design was used including 211 participants-68 behavioral-variant FTD (bvFTD), 32 semantic dementia (SD), 43 Alzheimer's disease (AD), and 68 healthy older control participants. Anhedonia severity was measured using the Snaith-Hamilton Pleasure Scale while severity of apathy was assessed across Emotional, Executive, and Initiation dimensions using the Dimensional Apathy Scale. Functional impairment was established using the FTD Functional Rating Scale (FRS). Distinct motivational profiles emerged in each dementia syndrome: a domain-general motivational impairment in bvFTD; a predominantly anhedonic profile in SD; and more pronounced initiation and executive apathy in AD. Correlation analyses revealed differential associations between motivational symptoms and severity of functional impairment in each group. Executive apathy was associated with functional impairment in bvFTD, while anhedonia was strongly correlated with functional decline in SD. Finally, executive and emotional apathy were associated with functional decline in AD. Our study indicates distinct profiles of apathy and anhedonia in FTD syndromes, which in turn are differentially associated with functional decline. This detailed characterization of motivational phenotypes can inform patient stratification for targeted interventions to improve functional outcomes.

Trends and projections of the global burden of thyroid cancer from 1990 to 2030.

We aimed to explore the burden of thyroid cancer worldwide from 1990 to 2019 and to project its future trends from 2020 to 2030. Based on annual data on thyroid cancer cases from 1990 to 2019 available in the Global Burden of Disease (GBD) database, we calculated the age-standardised incidence, death, and disability-adjusted life year (DALY) rates for thyroid cancer. We used the estimated annual percentage change (EPAC) to quantify the temporal trends in these age-standardised rates from 1990 to 2019 and applied generalised additive models to project the disease burden from 2020 to 2030. The global age-standardised incidence rate (ASIR) of thyroid cancer increased from 1990 to 2019, with a higher overall disease burden in women than in men at both study time points. The male-to-female ratios for the ASIR increased from 0.41 in 1990 to 0.51 in 2019, while the ratio for the age-standardised death rate (ASDR) increased from 0.60 to 0.82. The models predicted the United Arab Emirates would have the fastest rising trend in both the ASIR (estimated annual percentage changes (EAPC) = 4.19) and age-standardised DALY rate (EAPC = 4.36) in 2020-30, while Saint Kitts and Nevis will have the fastest rising trend in the ASDR (EAPC = 2.29). Meanwhile, the growth trends for the ASDR and age-standardised DALY rate are projected to increase across countries in this period. A correlation analysis of the global burden of thyroid cancer between 1990-2019 and 2020-30 showed a significant positive correlation between the increase in the ASIR and socio-demographic index (SDI) in low-SDI and low-middle-SDI countries. The global burden of thyroid cancer is increasing, especially in the female population and in low-middle-SDI regions, underscoring a need to target them for effective prevention, diagnosis, and treatment.

Decreased plasma ELABELA level as a novel screening indicator for heart failure: a cohort and observational study.

The predictive power of B-type natriuretic peptide (BNP) and left ventricular ejection fraction (LVEF) is limited by its low specificity in patients with heart failure (HF). Discovery of more novel biomarkers for HF better diagnosis is necessary and urgent. ELABELA, an early endogenous ligand for the G protein-coupled receptor APJ (Apelin peptide jejunum, Apelin receptor), exhibits cardioprotective actions. However, the relationship between plasma ELABELA and cardiac function in HF patients is unclear. To evaluate plasma ELABELA level and its diagnostic value in HF patients, a total of 335 patients with or without HF were recruited for our monocentric observational study. Plasma ELABELA and Apelin levels were detected by immunoassay in all patients. Spearman correlation analysis was used to analyze the correlation between plasma ELABELA or Apelin levels and study variables. The receiver operating characteristic curves were used to access the predictive power of plasma ELABELA or Apelin levels. Plasma ELABELA levels were lower, while plasma Apelin levels were higher in HF patients than in non-HF patients. Plasma ELABELA levels were gradually decreased with increasing New York Heart Association grade or decreasing LVEF. Plasma ELABELA levels were negatively correlated with BNP, left atrial diameter, left ventricular end-diastolic diameter, left ventricular end-systolic diameter, and left ventricular posterior wall thickness and positively correlated with LVEF in HF patients. In contrast, the correlation between plasma Apelin levels and these parameters is utterly opposite to ELABELA. The diagnostic value of ELABELA, Apelin, and LVEF for all HF patients was 0.835, 0.673, and 0.612; the sensitivity was 62.52, 66.20, and 32.97%; and the specificity was 95.92, 67.23, and 87.49%, respectively. All these parameters in HF patients with preserved ejection fraction were comparable to those in total HF patients. Overall, plasma ELABELA levels were significantly reduced and negatively correlated with cardiac function in HF patients. Decreased plasma ELABELA levels may function as a novel screening biomarker for HF. A combined assessment of BNP and ELABELA may be a good choice to increase the accuracy of the diagnosis of HF.