Spearman Rank Research Articles

DURASI MENDERITA DM MEMENGARUHI KONTROL GLIKEMIK JANGKA PANJANG YANG DIUKUR MELALUI HbA1c PADA PASIEN DIABETES MELITUS TIPE 2

Diabetes mellitus (DM) is a metabolic disorder characterized by hyperglycemia due to abnormalities in insulin secretion or action. In West Java, the prevalence of DM reached 1.9%, with a significant increase in Tasikmalaya City, which recorded 7,436 cases in 2022. This study aimed to explore the relationship between individual characteristics, nutritional status, comorbidities, and duration of DM with HbA1c levels in type 2 diabetes patients at one of the private hospitals in Tasikmalaya City.This study evaluated medical records of 210 patients with type 2 DM. The Spearman's rank correlation test was used to analyse the relationships between variables and a p<0.05 was considered as statistically significant. The research design used is cross sectional with purposive sampling technique.The result showed there was a statistically significant relationship between the duration of illness and HbA1c levels (p = 0.001 and r = 0,072). However, the relationship between nutritional status or comorbidities and HbA1c levels were not statistically significant (p = 0.471 and 0.187, respectively), indicating no relationship between nutritional status and HbA1c levels. The study concluded there was no significant relationship between nutritional status and comorbidities with HbA1c levels. Namun, ada hubungan antara durasi penyakit dengan kadar HbA1c

The Dominant Factors Associated with Quality of Life in Hypertension Patients in the Elderly

Elderly people with hypertension will have reduced social and psychological functioning, which will lower their quality of life. The purpose of this study was to identify the primary factor influencing the elderly with hypertension's quality of life. This study used a cross-sectional, correlative analytical methodology. The elderly with hypertension who did not have any complications made up the study population. A 80-person simple random sample was employed in this study. A scale and meter for assessing obesity, a family history questionnaire, and a gender and education questionnaire for physical activity using the GPAQ (Global Physical Activity Questionnaire) were the instruments utilized in this investigation. WHQOL-BREF was used for quality of life, and DASS (Depression Anxiety Scale) 42 was utilized for stress. In this study, the data were analyzed using logistic regression, rank spearmen, univariate, bivariate, and chi-square statistical tests. The variables of gender, illness, physical activity, stress, and family history were found to have an association with the hypertension patients' quality of life. Education level is one of the variables unrelated to the quality of life of older adults with hypertension. The attributes of physical activity, family history, and obesity status have the greatest effects on the quality of life for older adults with hypertension. The study's conclusions recommend increasing physical activity and reducing stress for obesity prevention. It will be the means by which hypertensive patients can live better lives.

Validity of task-specific metrics for assessment in perineal proctectomy.

Perineal proctectomy is a complex procedure that requires advanced skills. Currently, there are no simulators for training in this procedure. As part of our objective of developing a virtual reality simulator, our goal was to develop and validate task-specific metrics for the assessment of performance for this procedure. We conducted a three-phase study to establish task-specific metrics, obtain expert consensus on the appropriateness of the developed metrics, and establish the discriminant validity of the developed metrics. In phase I, we utilized hierarchical task analysis to formulate the metrics. In phase II, a survey involving expert colorectal surgeons determined the significance of the developed metrics. Phase III was aimed at establishing the discriminant validity for novices (PGY1-3) and experts (PGY4-5 and faculty). They performed a perineal proctectomy on a rectal prolapse model. Video recordings were independently assessed by two raters using global ratings and task-specific metrics for the procedure. Total scores for both metrics were computed and analyzed using the Kruskal-Wallis test. A Mann-Whitney U test with Benjamini-Hochberg correction was used to evaluate between-group differences. Spearman's rank correlation coefficient was computed to assess the correlation between global and task-specific scores. In phase II, a total of 23 colorectal surgeons were recruited and consensus was obtained on all the task-specific metrics. In phase III, participants (n = 22) included novices (n = 15) and experts (n = 7). There was a strong positive correlation between the global and task-specific scores (rs = 0.86; P < 0.001). Significant between-group differences were detected for both global (χ2 = 15.38; P < 0.001; df = 2) and task-specific (χ2 = 11.38; P = 0.003; df = 2) scores. Using a biotissue rectal prolapse model, this study documented high IRR and significant discriminant validity evidence in support of video-based assessment using task-specific metrics.

Predictive Factors for Herpes Simplex Virus Reactivation in Patients with Trigeminal Neuralgia After Surgery

This study aimed to investigate the predictive factors associated with the reactivation of herpes simplex virus (HSV) in patients with trigeminal neuralgia (TN) after surgery, and to determine whether there is a correlation between reactivation and surgical efficacy. This study included 190 patients who underwent surgery between January 2020 and December 2021. Postoperative HSV reactivation was defined as the presence of perioral or gingival herpes and herpes labialis within 1 week postoperatively. Logistic regression analysis was used to evaluate clinical characteristics as potential predictors of HSV reactivation. Additionally, Spearman's rank correlation coefficient was used to determine any correlation between the postoperative barrow neurological institute (BNI) pain intensity score and HSV reactivation. Of the 190 patients, 56 (29.5%) experienced postoperative HSV reactivation. Both univariate and multivariate analyses identified several significant predictors of HSV reactivation, such as a history of HSV infection, previous trigeminal nerve-damaging surgery, the use of internal neurolysis (IN) as a surgical technique, and an operation time of ≥25 min. No significant correlation was found between HSV reactivation and pain relief, as measured by BNI scores. HSV reactivation was observed in a considerable proportion of patients with TN. Long operative times (≥25 min), the use of IN as a surgical technique, a history of HSV infection, and previous trigeminal nerve-damaging surgery were identified as risk factors. Further research is needed to optimize surgical procedures and develop targeted management protocols to reduce the risk of HSV reactivation.

Recommendation method for selecting the rice seeds based on group decision support system

&lt;p&gt;In this paper, we provide group recommendations based on each decision makers (DMs) in choosing the best type of rice for replanting. This group decision support system (GDSS) aims to guide stakeholders who have a role in selecting rice types. In this method, we propose using technique for order preference by similarity to ideal solution (TOPSIS) to rank each DM, Borda to rank in groups, and then test it using Spearman's rank correlation to measure the relationship between system results and the method applied. The results of this study show that DM&lt;sub&gt;1&lt;/sub&gt; ranks highest in selecting Gelagai rice seeds with a preference of 0.7786. Then DM&lt;sub&gt;2&lt;/sub&gt; ranked highest with Ekor Payau rice seeds in preference 0.6529. Meanwhile, DM&lt;sub&gt;3&lt;/sub&gt; ranked highest in Gelagai rice seeds with a selection of 0.7728. The final group voting system uses Borda, where Gelagai rice seeds occupy the highest rank with the most accumulated votes from each DMs. The best option or the highest rating based on the assessment of the three DMs, DM&lt;sub&gt;1&lt;/sub&gt; as a farmer is the first rank A10 Gelagai with a score of Borda 26 in the decision group selection of superior rice seeds.&lt;/p&gt;

THE RELATIONSHIP OF FEAR OF MISSING OUT (FoMO) AND PEER SOCIAL SUPPORT WITH THE BODY IMAGE OF FEMALE ADOLESCENT AT SENIOR HIGH SCHOOL

Introduction: Adolescent girls are involved and exposed to various comments regarding physical appearance, which can lead to experiences of body dissatisfaction, resulting from failing to meet the unrealistic standards of physical attractiveness set by society. This condition can be influenced by FoMO and social support from peers. This research aims to analyze the relationship between Fear of Missing Out (FoMO) and social support from peers with body image in adolescent girls at SMA Negeri 13 Surabaya. Method: This research use descriptive correlation design with cross-sectional approach. The population was 650 people, with a sample size of 191 female teenagers at senior high school in Surabaya. The sampling technique used is simple random sampling. The independent variables are FoMO and peer social support. The dependent variable is body image. Data was taken using a questionnaire and analyzed using the Spearman's rank test. Results: There is a relationship between FoMO and body image in female adolescents (p=0,031&lt;0.05 and (r) = -0,156). For the peer social support variable, the value obtained was p=0,568&gt;0,05, which means there is no relationship. Discussion: FoMO may be related to body image. Peer social support is not associated with body

On the Relationship Between Frailty, Nutritional Status, Depression and Quality of Life Among Older People.

Frailty is a multidimensional geriatric syndrome associated with physical, psychological and social changes. There is a paucity of research on frailty in Sub-Saharan African (SSA) countries, especially Ethiopia. To assess the initial correlations among frailty, nutritional status, depression and QOL (quality of life) in a group of older people in Ethiopia who are later enrolled in a study examining the effects of a nurse-led community intervention on frailty and related health outcomes. Data from 68 community-dwelling individuals 60 years of age, or over, were collected. Frailty was measured using the Amharic version of the Tilburg Frailty Indicator. The statistical analysis included Spearman's rank correlation coefficient for degrees of association, Mann-Whitney U-test for variables with two categories and Kruskal-Wallis for variables with three or more categories. The mean frailty score for participants was 7.3 (±1.9). Participants with higher frailty scores had lower nutritional status (rs = -0.46, p < 0.01). There was a statistically significant relationship (positive) between frailty scores and depression (rs = 0.39, p < 0.01). Depressed (Md = 9, n = 23) and non-depressed frail older people (Md = 7, n = 45) showed a significant difference in their overall frailty score, U = 330.50, z = -2.49, p = 0.01, r = 0.30. There was an inverse significant association between the level of frailty across different domains in the QOL: physical (rs = -0.44, p < 0.01), psychological (rs = -0.45, p < 0.01), social relations (rs = -0.29, p < 0.05) and environmental (rs = -0.47, p < 0.01). The findings from this study were consistent with those from across middle-income and high-income countries. This research indicates that older people living in communities who are identified as frail often suffer from a poor nutritional status, depression and reduced QOL. It suggests that healthcare professionals in Sub-Saharan countries would benefit from recognising the frailty in this population, and developing interventions aimed at enhancing nutrition, mental health and overall well-being.

Assessing Team Performance in a Longitudinal Neonatal Resuscitation Simulation Training Program: Comparing Validity Evidence to Select the Best Tool.

Introduction Neonatal resuscitation is a high-acuity, low-occurrence event that requires ongoing practice by interprofessional teams to maintain proficiency.Simulation provides an ideal platform for team training and evaluation of team performance. Our simulation center supports a longitudinal in situ simulation training program for delivery room teams. In addition to adherence to the Neonatal Resuscitation Program standards, team performance assessment is an essential component of program evaluation and participant feedback. Multiple published teamwork assessment tools exist. Our objective was to select the tool with the best validity evidence for our program's needs. Methods We used Messick's framework to assess the validity of evidence for potential teamwork assessment tools. Four possible tools were identified from the literature: the Mayo High Performance Teamwork Scale (Mayo), Team Performance Observation Tool (TPOT), Clinical Teamwork Scale (CTS), and Team Emergency Assessment Measure (TEAM). Relevant context included team versus individual focus, external evaluator versus self-evaluation, and ease of use (which included efficiency, clarity of interpretation, and overall assessment). Three simulation experts identified consensus anchors for each tool and independently reviewed and scored 10 pre-recorded neonatal resuscitation simulations. Raters assigned each tool a rating according to efficiency, ease of interpretation, and completeness of teamwork assessment. Interrater reliability (IRR) was calculated using intraclass correlation for each tool across the three raters. Average team performance scores for each tool were correlated with neonatal resuscitation adherence scores for each video using Spearman's rank coefficient. Results There was a range of IRR between the tools, with Mayo having the best (single 0.55 and multi 0.78). Each of the three raters ranked Mayo optimally in terms of efficiency (mean 4.66 + 0.577) and ease of use (4+1). However, TPOT and CTS scored highest (mean 4.66 ± 0.577) for overall completeness of teamwork assessment. There was no significant correlation to NRP adherence scores for any teamwork tool. Conclusion Of the four tools assessed, Mayo demonstrated moderate IRR and scored highest for its ease of use and efficiency, though not completeness of assessment. The remaining three tools had poor IRR, which is not an uncommon problem with teamwork assessment tools. Our process emphasizes the fact that assessment tool validity is contextual. Factors such as a relatively narrow (and high) performance distribution and clinical context may have contributed to reliability challenges for tools that offered a more complete teamwork assessment.

Evaluation of neuropathy in epidermal growth factor administered patients diagnosed with diabetic foot

AimThis study was conducted to evaluate the effect of epidermal growth factor administered to patients diagnosed with diabetic foot on neuropathy. Secondarily, the effect of EGF on foot ulcer and neuropathic pain has also been evaluated. Materials and methodsThe study is an analytical type study with a single-group pretest-posttest quasi-experimental design. It was conducted with 30 patients diagnosed with Type 1 and Type 2 Diabetes who applied to the wound care unit and cardiovascular surgery outpatient clinic at Pamukkale University Hospitals between March 2021 and November 2022. By not using the sampling method, all patients who received EGF in the units were reached. Data were collected by "structured patient information form", "SINBAD classification", and "LANSS pain scale." Data were obtained as a "pretest" before the administration of epidermal growth factor (EGF), and as a "posttest" applied one month after the completion of EGF administration. Data were analyzed with Wilcoxon, Mann-Whitney U, Kruskal-Wallis H, Spearman's Rank Correlation, Mc Nemar, and Chi-Square Tests. FindingsIt was observed that the average age of individuals with diabetic foot ulcer was 60.1 ± 12.9, 40 % were obese/morbidly obese, 83.3 % were male, and 43.3 % were treated with insulin + oral antidiabetic. It was determined that the number of years with diabetes was 17.37 ± 10.93 years, and the duration of diabetic foot ulcer was 218.83 ± 279.04 days. 46.7 % of the participants were determined to have a previous foot wound, and 33.3 % had a history of amputation in the past. Neuropathy was present in 100 % of the participants in the pre-test, while it was found to be 56.7 % in the post-test. The participants with neuropathy were observed to have a significantly higher SINBAD classification and LANSS pain scale scores: (p = 0,01; p = .00). HbA1c, SINBAD, and LANSS scores decreased significantly after EGF (p = 0,00; p = .01; p = .01). EGF administration was observed to have a statistically significant positive effect on neuropathy (p < .01). ResultsEGF administration was observed to have a positive effect on the healing of foot ulcers, the reduction of neuropathic pain, and on neuropathy in patients diagnosed with diabetic foot.

Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz.

Accurate image reconstruction is at the heart of diagnostics in medical imaging. Supervised deep learning-based approaches have been investigated for solving inverse problems including image reconstruction. However, these trained models encounter unseen data distributions that are widely shifted from training data during deployment. Therefore, it is essential to assess whether a given input falls within the training data distribution. Current uncertainty estimation approaches focus on providing an uncertainty map to radiologists, rather than assessing the training distribution fit. In this work, we propose a method based on the local Lipschitz metric to distinguish out-of-distribution images from in-distribution with an area under the curve of 99.94% for True Positive Rate versus False Positive Rate. We demonstrate a very strong relationship between the local Lipschitz value and mean absolute error (MAE), supported by a Spearman's rank correlation coefficient of 0.8475, to determine an uncertainty estimation threshold for optimal performance. Through the identification of false positives, we demonstrate the local Lipschitz and MAE relationship can guide data augmentation and reduce uncertainty. Our study was validated using the AUTOMAP architecture for sensor-to-image Magnetic Resonance Imaging (MRI) reconstruction. We demonstrate our approach outperforms baseline techniques of Monte-Carlo dropout and deep ensembles as well as the state-of-the-art Mean Variance Estimation network approach. We expand our application scope to MRI denoising and Computed Tomography sparse-to-full view reconstructions using UNET architectures. We show our approach is applicable to various architectures and applications, especially in medical imaging, where preserving diagnostic accuracy of reconstructed images remains paramount.

The Departmental Scholarly Index: A Metric of Research Productivity.

While bibliometric ranking systems have been designed to use citations, funding, and alumni productivity, there is a need for a simple metric that objectively evaluates the work of a group or organization. The present study describes a bibliometric tool, the Departmental Scholarly Index (DSI), for this purpose. Publications from academic plastic surgery programs in qualifying states of the Southeastern Society of Plastic and Reconstructive Surgeons released in 2022 were collected via PubMed affiliation search. Publications were recorded in a running list alongside the title and 2022 impact factor of their respective journals. The impact factors were averaged by summing the impact factors and dividing by the number of articles to obtain a raw average. Any publication in a journal with an impact factor greater than five multiples of the raw average was removed as an outlier. The remaining impact factors were then summed and give the final numerical value representing the DSI. A total of 464 articles published in 139 individual journals were returned from PubMed between January 1, 2022, and December 31, 2022, for the 22 constituent departments. Calculated Spearman's rank coefficients comparing the DSI ranking with both the Doximity and Persad-Paisley rankings yielded values of 0.66 (P < 0.01) and 0.62 (P < 0.01), respectively. Overall, the DSI rankings largely agree with either the Persad-Paisley or Doximity rankings with notable differences seen in the rankings of Mayo Florida and the University of Alabama. A clear academic ranking of Southeastern Society of Plastic and Reconstructive Surgeons programs was generated from these data. The DSI represents a novel and simple approach to applying objective value to research with the advantage of using data bound to the most recent publication productivity.

Quality of Life and Psychosocial Outcomes Among Children With Cleft Differences.

Introduction Velopharyngeal insufficiency (VPI) and craniofacial differences can lead to diminished speech and swallowing function resulting in communication and social challenges throughout childhood. To monitor changes in patients' psychosocial health and velopharyngeal function, the Pediatric Symptom Checklist (PSC) and Velopharyngeal Insufficiency Effects on Life Outcomes (VELO) survey tools can be utilized. This study aimed to investigate the relationship between VPI quality-of-life outcomes and psychosocial disturbances through a comparative analysis of PSC and VELO parental surveys among children followed by a craniofacial team. Methods A retrospective chart review was completed using data from asingle, multidisciplinary cleft and craniofacial team. Previously completed parental survey responses between 2010 and 2022 were collated and resultswere analyzed using a Spearman's rank correlation test (rs). Results There were 89 subjects who completed both surveys on the same day (n = 148 survey pairs (s)). Patients aged three to five years old (s = 88) had a mean VELO of 17.9 (0-65) and a mean PSC of 7.9 (0-27), while patients aged six to eight years old (s = 60) had a mean VELO of 16.6 (0-74) and a mean PSC of 12.0 (0-37). The strongest correlation observed for both age groups was between the total PSC and VELO Speech Limitations sub-scores (three to five years old: rs = 0.537, p < 0.001; six to eight years old: rs = 0.330, p = 0.010). Similarly, children in the six- to eight-year-old group with cleft lip and palate showed a correlation between the total PSC and VELO Speech Limitations (rs = 0.583, p < 0.001). Conclusion This study suggests arelationship between PSC and VELO scores among childrenages three to eight years old with cleft differences and demonstrates that specific domains within theVELO questionnaireshould be considered as being associated with a higher riskfor psychosocial impairment. Specifically, higher VELO Speech Limitations sub-scores may portend a greater risk for poor psychosocial outcomes supporting the importance of early interventions in this group.

Impact of climate on varicella distribution in Bulgaria (2009-2018).

Temperature is the most important environmental variable associated with the varicella frequency across the world. The present study compares the incidence of varicella in the districts of Bulgaria against some climatic factors and tries to find environmental variables which account for the differences in the varicella distribution observed among the Bulgarian districts. The 28 Bulgarian districts were used as units of observation and their average 10-year varicella incidence (2009-2018) was tested for correlation with the standard bioclimatic variables of WorldClim, version 2. The WorldClim estimates for the annual mean temperature, the maximal temperature of the warmest month, the minimal temperature of the coldest month, the mean temperature of the coldest quarter, and the solar radiation inversely and not significantly correlated with the average 10-year varicella frequency. The precipitation of the warmest quarter and the wind speed correlated positively and also not significantly. Only the mean temperature of the driest quarter correlates significantly with the incidence at district level (Spearman's rank correlation coefficient of -0.45, p = 0.02). The mean of average 10-year varicella incidence rates among districts with driest quarter during the winter (January, February, March) was 387.6 ± 114.1, while among districts with driest quarter during the summer/autumn (July, August, September or August, September, October) 283.3 ± 102.1 (p = 0.02, ANOVA test). Dry winter and/or wet summer appear as significant determinants for the fluctuant spread of varicella infection in Bulgaria.

Automated echocardiography view classification and quality assessment with recognition of unknown views.

Interpreting echocardiographic exams requires substantial manual interaction as videos lack scan-plane information and have inconsistent image quality, ranging from clinically relevant to unrecognizable. Thus, a manual prerequisite step for analysis is to select the appropriate views that showcase both the target anatomy and optimal image quality. To automate this selection process, we present a method for automatic classification of routine views, recognition of unknown views, and quality assessment of detected views. We train a neural network for view classification and employ the logit activations from the neural network for unknown view recognition. Subsequently, we train a linear regression algorithm that uses feature embeddings from the neural network to predict view quality scores. We evaluate the method on a clinical test set of 2466 echocardiography videos with expert-annotated view labels and a subset of 438 videos with expert-rated view quality scores. A second observer annotated a subset of 894 videos, including all quality-rated videos. The proposed method achieved an accuracy of for the joint objective of routine view classification and unknown view recognition, whereas a second observer reached an accuracy of 87.6%. For view quality assessment, the method achieved a Spearman's rank correlation coefficient of 0.71, whereas a second observer reached a correlation coefficient of 0.62. The proposed method approaches expert-level performance, enabling fully automatic selection of the most appropriate views for manual or automatic downstream analysis.

Identification and analysis correlation between hub genes and immune cell infiltration related to LPS-induced cognitive impairment

BackgroundThe occurrence of immunity and inflammation outside the central nervous system frequently results in acute cognitive impairment among elderly patients. However, there is currently a lack of standardized methods for diagnosing acute cognitive impairment. The objective of our study was to identify potential mRNA biomarkers and investigate the pathogenesis of acute cognitive impairment in mice brains. MethodsTo analyze changes in hub genes associated with acute cognitive impairment, bioinformatics analysis was performed on the mouse brain injury data of sterile saline control group and lipopolysaccharide (LPS) induced experimental group in Gene Expression Omnibus (GEO). Functional analysis was conducted using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), which facilitated to identify some potential mRNA biomarkers for hub gene expression in mice brains. Additionally, the "CIBERSORT X″ R kit was employed to examine immune cell infiltrations of mice brains in LPS group and saline group. ResultsIn the LPS and saline group, 102 significantly upregulated differentially expressed genes (DEGs) and 32 downregulated DEGs were identified. The pathway enrichment analysis using GO and KEGG revealed that these DEGs were mainly related to the regulation of cytokine, cytokine-cytokine receptor interaction, as well as protein interaction with cytokine and cytokine receptor. Immune cell infiltration analysis indicated potential involvement of M1 macrophages, NK cells resting, T cells CD4 memory, and T cells CD8 naive in the process of cognitive impairment. By constructing a protein-protein interaction (PPI) network, five hub genes (Cxcl10, Cxcl12, Cxcr3, Gbp2, and Ifih1) showed significant associations with immune cell types by using a threshold Spearman's rank correlation coefficient of R > 0.50 and p < 0.05. ConclusionThe mRNA expression profile of the mice brain tissues in the LPS group differed from that in the normal saline group. These significantly expressed mRNAs may act an importance in the pathogenesis of acute cognitive impairment through mechanisms involving immunity and neuroinflammation.

Variations in External and Internal Intensities and Impact of Maturational Age on Soccer Training Tasks.

During peak height velocity, adjusting training intensity is crucial for optimizing performance and minimizing injury risk. This cross-sectional study compares external and internal intensities in different training tasks (analytical tasks, small-sided games, and training matches) and analyzes their effect on the maturation age of young players. Fifty-five U-15 and U-16 boys from two soccer clubs in southwestern Spain were monitored using inertial movement units and heart rate monitors to report training intensities. Anthropometric data and birthdates were collected to estimate maturation age. The Friedman test and Durbin-Conover post hoc test identified specific differences between groups, and Spearman's rank correlation coefficients assessed variable impacts. Training matches showed significantly higher distance covered, maximum and average speed, and average heart rate compared to small-sided games and analytical tasks. High-intensity actions and sprints were significantly higher (p < 0.0001) during training matches compared to analytical tasks and during small-sided games compared to analytical tasks. Player load per minute was significantly highest (p < 0.05) during training matches, followed by small-sided games, and lowest in analytical tasks. Positive correlations between maturational age and high-intensity actions, accelerations, and decelerations indicated higher intensity (p < 0.05) in more mature players. A negative correlation between player load per minute and maturational age suggested more efficient intensity management in mature players. These findings highlight the importance of considering biological maturation and training task variability in youth athletes' development.

Factors affecting the oral health of patients on maintenance hemodialysis and recommendations for standardized nursing care: a multicenter study.

To determine the oral health status of patients on maintenance hemodialysis and to identify the factors influencing their oral health. This observational study included 1,186 patients with chronic kidney disease who received maintenance hemodialysis across 33 hospitals in China. The patients were recruited for a questionnaire survey between April and August 2023 at Beijing Chaoyang Hospital using stratified sampling. Data collection tools included the General Information Questionnaire for Maintenance Hemodialysis Patients, the Oral Health Assessment Tool, the Pittsburgh Sleep Quality Index, and the Hospital Anxiety and Depression Scale. Spearman rank correlation coefficients were used to assess the relationships between the oral health of patients on maintenance hemodialysis and continuous variables such as sleep quality and emotional status. Multiple linear regression analysis was employed to explore the relationship between oral health and various variables. The oral health scores of the patients ranged from 8 to 22, with a mean score of 12.54 ± 2.63. The final model of the multiple linear regression analysis indicated a goodness of fit of 22.19%. Independent factors affecting the oral health of patients included smoking, the proportion of medical expenses, water consumption, sleep quality, and anxiety scores (all P .05). High levels of smoking, substantial medical expenses, poor sleep quality, and elevated anxiety scores were risk factors for poor oral health (all P .05). Adequate daily water intake served as a protective factor for oral health (P .05). This study proposes targeted interventions to enhance the management and improvement of oral health in patients on hemodialysis, aiming to provide highly personalized and effective oral health care. These interventions are expected to improve oral health outcomes in future clinical practice.

MRI-based assessment of the mylohyoid muscle in oral squamous cell carcinoma, a 7-point scoring method.

To investigate preoperative MRI evaluation of the features of the mylohyoid muscle (MM) predictive of its infiltration in oral squamous cell carcinoma (OSCC) treatment planning, defining the most appropriate sequences to study its deep extension into the floor of the mouth (FOM). We applied a 7-point score to retrospectively evaluate preoperative imaging of patients who underwent surgery for OSCC over 11 years. The results were compared with histopathological findings using Spearman's rank coefficient. Receiver operating characteristic curves were employed to assess the score's ability to predict MM infiltration, determining optimal thresholds for sensitivity, specificity, and predictive values. The Mann-Whitney U-test confirmed that infiltration judgments did not overlap around this threshold. Cohen's K statistical coefficient was used to evaluate the interobserver agreement. Fifty-two patients (mean age 66.4 ± 11.9 years, 36 men) were evaluated. Histopathological examination found MM infiltration in 21% of cases (n = 11), with 90% classified in the highest Score categories. A score > 4 proved to be the best cut-off for predicting the risk of MM infiltration, with a sensitivity of 91% (CI: 0.57-0.99), specificity 61% (CI: 0.45-0.76), PPV 38% (CI: 0.21-0.59), and NPV 96% (CI: 0.78-0.99). At the subsequent single-sequence assessment, the TSE-T2wi had the highest diagnostic accuracy, with sensitivity 90% (CI: 0.57-0.99), specificity 70% (CI: 0.53-0.82), PPV 45% (CI: 0.25-0.67), and NPV 96% (CI: 0.80-0.99). The 7-point score is a promising predictor of safe surgical margins for MM in OSCC treatment, with the particular benefit of T2-weighted sequences. Our scoring system for tumor infiltration of MM, which is easy to use even for less experienced radiologists, allows for uniformity in radiological language, thereby ensuring crucial preoperative information for the surgeon. The relationship of the MM to an oral lesion may impact surgical planning. As the score increases, there is a greater incidence of infiltration in the MM. Our score system improves radiologists' reporting for MM involvement by tumor.

Correlation of Immunomodulatory Cytokines with Tumor Volume and Cerebrospinal Fluid in Vestibular Schwannoma Patients.

Sporadic vestibular schwannomas (VSs) often exhibit slow or negligible growth. Nevertheless, some VSs increase significantly in volume within a few months or grow continuously. Recent evidence indicates a role of inflammation in promoting VS growth. Therefore, our study aimed to identify cytokines, which are associated with larger VSs. The expression of different cytokines in VS tumor samples and VS primary cultures was investigated. Additionally, the concentration of cytokines in cell culture supernatants of VS primary cultures and cerebrospinal fluid (CSF) of VS patients and healthy controls were determined. Correlation analysis of cytokine levels with tumor volume, growth rate, Koos grade, age, and hearing was examined with Spearman's-rank test. The mRNA expression of CC-chemokine ligand (CCL) 18, growth differentiation factor (GDF) 15, and interferon regulatory factor 4 correlated positively with tumor volume. Moreover, the amount of GDF15 in the cell culture supernatant of primary cells correlated positively with tumor volume. The concentrations of the cytokines CCL2, CCL5, and CCL18 and transforming growth factor beta (TGFB) 1 in the CSF of the patients were significantly different from those in the CSF controls. Inhibition of immune cell infiltration could be a putative approach to prevent and control VS growth.

Body Oxygen Level Test (BOLT) is not associated with exercise performance in highly-trained individuals.

The analysis of chemoreflex and baroreflex sensitivity may contribute to optimizing patient care and athletic performance. Breath-holding tests, such as the Body Oxygen Level Test (BOLT), have gained popularity as a feasible way to evaluate the reflex control over the cardiorespiratory system. According to its proponents, the BOLT score reflects the body's sensitivity to carbon dioxide and homeostasis disturbances, providing feedback on exercise tolerance. However, it has not yet been scientifically validated or linked with exercise performance in highly-trained individuals. Therefore, we investigated the association of BOLT scores with the results of standard performance tests in elite athletes. A group of 49 speedskaters performed BOLT, Wingate Anaerobic Test (WAnT), and cardiopulmonary exercise test (CPET) on a cycle ergometer. Peak power, total work, and power drop were measured during WAnT. Time to exhaustion and maximum oxygen uptake were measured during CPET. Spearman's rank correlation and multiple linear regression were performed to analyze the association of BOLT scores with parameters obtained during the tests, age, somatic indices, and training experience. No significant correlations between BOLT scores and parameters obtained during WAnT and CPET were found, r(47) = -0.172-0.013, p = 0.248-0.984. The parameters obtained during the tests, age, somatic indices, and training experience were not significant in multiple linear regression (p = 0.38-0.85). The preliminary regression model showed an R 2 of 0.08 and RMSE of 9.78sec. Our findings did not demonstrate a significant relationship between BOLT scores and exercise performance. Age, somatic indices, and training experience were not significant in our analysis. It is recommended to interpret BOLT concerning exercise performance in highly-trained populations with a great degree of caution.