Low Load Group Research Articles

Correlation between the nucleic acid load of Bordetella pertussis and clinical features and severity of illness in infants and young children with wooping cough

To study the correlation between the level of Bordetella pertussis nucleic acid and clinical features of the disease in infants and young children and to investigate the risk factors for the development of severe pertussis. Using retrospective research methods, children aged 1 month-3 years who came to Hunan Children's Hospital from August 2023 to February 2024 and were diagnosed with pertussis for analysis. According to the logarithmic value of BP-DNA (log10 copies/ml), 35 cases were divided into the low load group, 78 cases were divided into the medium load group and 94 cases were divided into the high load group; 54 cases were divided into the severe whooping cough group and 153 cases were divided into the general group according to the severity of the disease; the clinical characteristics and laboratory data of the groups were compared, and the risk factors for the occurrence of severe whooping cough were analyzed at the same time. The ROC was used to evaluate the predictive efficacy of BP-DNA and WBC count for the development of severe pertussis. The results showed that in the high-dose group, the WBC count(22.59×109/L), L/N ratio(3.31), and hospitalization days(9.0 d) were significantly higher than those in the medium-dose group and low-dose group (F=6.309, 2.825, 15.149, all P<0.05). The hospitalization rate (100%), combined infection rate (64.96%), incidence of severe whooping cough (31.9%), pyrexia rate (29.8%), and corticosteroid use rate (57.4%) were also significantly higher than the other two groups (χ²=25.977, 9.163, 9.371, 8.299, 20.332, all P<0.05), and the complete immunity rate (9.6%) was significantly lower than the other two groups (χ²=11.632, P<0.05). Compared with the group of common whooping cough, the proportion of children under 1 year old (100%, χ²=9.581), the BP-DNA load (6.56 log10 copies/ml, Z=4.004), the WBC count(31.34×109/L, t=7.513), the PCT level(0.07 ng/ml, Z=2.626), the IL-6 level (6.65 ng/ml, Z=4.336), the combined infection rate (88.9%, χ²=36.536), the incidence of wheezing or dyspnea (55.6%, χ²=42.972), the rate of no improvement of symptoms with macrolides prior to the visit (77.8%, χ²=26.266), and the incidence of fever (55.6%, χ²=42.972) were all significantly higher;the complete immunity rate was significantly lower (5.6%, χ²=9.581) in the severe whooping cough group, the differences were all statistically significant(all P<0.05).The result of logistic regression analysis showed severe elevation of BP-DNA, high leukocyte count, co-infection, wheezing or shortness of breath, pyrexia and no improvement of symptoms with macrolides before the treatment were the risk factors for the development of severe pertussis and the logistic regressive model predicts a sensitivity and specificity of 0.83 and 0.90 for severe whooping cough, respectively. The sensitivity of BP-DNA>1.91×106 copies/ml, WBC count >19.97×109/L and the binominal combined test to predict the occurrence of severe pertussis were 0.87, 0.61 and 0.80, and the specificity were 0.43, 0.86 and 0.73, respectively. In conclusion, nucleic acid load in infants with pertussis correlated with clinical characteristics such as the active immunity status, fever, co-infections and hospitalisation and days in hospital. Children with high nucleic acid load, high white blood cell counts, co-infections, fever and no improvement of symptoms with macrolides prior to seeing a doctor were more likely to develop the severe pertussis. When BP-DNA >1.91×106 copies/ml or WBC counts>19.97×109/L, they have the highest predictive efficacy for severe pertussis respectively, and combined detection is better.

The Clinical Significance of Pathogen Loads and Macrolide Resistance Levels for Macrolide-Resistant Mycoplasma pneumoniae Pneumonia in Children.

Mycoplasma pneumoniae (M. pneumoniae) pneumonia presses a serious threat on children's health. This study was aimed to investigate the clinical significance of pathogen loads and macrolide resistance levels for macrolide-resistant M. pneumoniae (MRMP)-induced pneumonia in children. Serum levels of inflammatory markers including lactic dehydrogenase (LDH), D-dimer, C-reactive protein (CRP) were tested. RT‒PCR was used for the detection of M. pneumoniae infection and the macrolide resistance levels. The patients were classified into high pathogen load and low pathogen load groups based on the Ct values of the p1 gene, and high macrolide resistance level and low macrolide resistance level groups based on the relative levels of macrolide resistance associated mutations to that of the p1 gene. The rates of alternative antibiotic use and hospitalization days were recorded, and the leukocyte counts were tested. The rates of elevated inflammatory markers from high to low were LDH, CRP and D-dimer. The Ct values of the p1 gene ranged from 19 to 35, and patients with higher pathogen loads had greater rates of alternative antibiotic use; higher levels of LDH, D-dimer, CRP and neutrophil counts (NEUT); and longer hospitalization durations. The range of the macrolide resistance levels was 0.31-2.11, and the rates of alternative antibiotic use, NEUT, CRP and D-dimer levels were higher in patients with higher macrolide resistance levels. LDH was a more frequently elevated serum inflammatory marker than D-dimer and CRP, and the pathogen load and macrolide resistance levels possessed important clinical significance for MRMP-induced pneumonia in children.

Can the postload-fasting glucose gap be used to determine risk of developing diabetes in chinese adults: A prospective cohort study

ObjectiveTo evaluate the relationship between fasting plasma glucose (FPG) and 2-hour postload plasma glucose (2hPG) measured during an oral glucose tolerance test, and the risk of developing diabetes in Chinese adults. MethodsWe followed 3,094 participants without diabetes, categorizing them based on their oral glucose tolerance test (OGTT) results into low post load (2hPG ≤ FPG) and high post load (2hPG > FPG) at baseline. We monitored the incidence of diabetes, incidence of prediabetes, disease progression from prediabetes to diabetes and disease reversal from prediabetes to normal glucose tolerance (NGT) over an average of 3.2 years of follow-up.After the Schoenfeld residual test, Cox’s time-varying covariate (Cox-TVC) models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) to compare the different clinical events between low and high post load groups. ResultsIn the cohort study, of the 3,094 participants, 702 (22.7 %) had low post load (2hPG ≤ FPG, mean postload-fasting gap: −0.8 ± 0.7 mmol/L) and 2,392 (77.3 %) had high post load (2hPG > FPG, mean postload-fasting gap: 1.8 ± 1.2 mmol/L). Over 3.2 ± 0.2 years of follow-up, 282 (9.1 %) developed diabetes. In the low post load group, the incidence rates per 1,000 person-years were: diabetes was 7.9, prediabetes was 70.0, disease progression from prediabetes to diabetes was 23.4 and disease reversal to NGT was 327.2. For the high post load group, incidence rates for diabetes was 13.9, prediabetes was 124.3, disease progression was 59.5 and disease reversal was 238.6 per 1,000 person-years.Participants with high post load showed higher incidence rates of diabetes, prediabetes, and progression from prediabetes to diabetes compared to those with low post load. HRs were significantly higher for incident diabetes and prediabetes, and disease progression from prediabetes to diabetes, whereas disease reversal was lower. ConclusionThe risk of developing prediabetes/diabetes after 3.2 years of follow-up was higher in the participants with high post load. It suggested that postload-fasting gap may be a simple tool to predict the risk of developing prediabetes, diabetes or reversal to NGT.

Interactions between the gut bacterial community of Exopalaemon carinicauda and infection by Enterocytozoon hepatopenaei

To explore the relationship between the intestinal flora of Exopalaemon Carinicauda and infection by Enterocytozoo Hepatopenaei (EHP), we analyzed the species and richness of gut microbiota in infected individuals in different EHP load groups [i.e., control (C), high load (H), and low load (L)] using gene sequencing after infection. The results showed that the abundance of intestinal flora in the high-load EHP group was significantly lower than that in the healthy group. Based on the UPGMA cluster tree and PCoA analysis, with comparisons to healthy shrimp, the gut microbiota of the EHP high load and low load groups were clustered into one branch, which indicated that EHP infection changed the composition of the gut microbiota of infected shrimps. The heat map analysis of species abundance clustering revealed that the dominant bacteria in the low EHP load group and the control group were beneficial genera such as Lactococcus, Ligilactobacillius, and Bifidobacterium, but the dominant bacteria in the high EHP load group were harmful genera such as Pseudomonas, Photobacterium, and Candidatus hepatincola. The functions of the intestinal flora predicted that most genes related to metabolism were more abundant in healthy shrimp, most genes related to metabolism and the organisms’ system were more abundant in the low EHP load group, and most genes related to diseases and environmental information processing were more abundant in the high EHP load group. After separation and purification, the dominant bacteria (Bifidobacterium animalis in healthy shrimp and Lactococcus garvieae in the low EHP load group) and the non-dominant bacteria (Macrococus caseolyticus in the low EHP load group) were obtained. Each of these isolated strains were used together with EHP to infect E. carinicauda, and the results showed that Bifidobacterium animali and Lactococcus garvieae significantly reduced the EHP load in EHP-infected individuals. At the same time, the morphology and structure of the hepatopancreas and intestinal tissue of EHP-infected E. carinicauda were improved. No improvement was seen in tissue that was infected with Macrococus caseolyticus.

Correlation of DNA load, genotyping, and clinical phenotype of Mycoplasma pneumoniae infection in children.

This study aimed to investigate the correlation between Mycoplasma pneumoniae (MP)-DNA load in the bronchoalveolar lavage fluid (BALF) of children with MP pneumonia (MPP) and its subtypes, relevant laboratory data, imaging, extrapulmonary complications in infected children, and its clinical significance in evaluating the disease. Children hospitalized with MPP at Tianjin Children's Hospital between December 2017 and December 2020 were selected for the study, excluding those with mixed viral, bacterial, and fungal infections. Children were divided into low- and high-load groups according to the MP DNA load in BALF using real-time quantitative fluorescence polymerase chain reaction (PCR). After a successful MP culture, positive specimens were subjected to PCR-Restriction fragment length polymorphism and Multiple-locus variable number tandem repeat analysis typing. Basic data, clinical information, laboratory data, and radiological results were collected from all children included in the study. The PI-I type dominated the different load groups. Children in the low-load group had more wheezing and shortness of breath; however, children in the high-load group had a higher length of hospitalization, maximum fever temperature, higher chills/chilliness, incidence of abdominal pain, and higher C-reactive protein (CRP), procalcitonin (PCT) and aspartate aminotransferase (AST) levels. Children in the high-load group were more likely to have imaging changes such as pleural effusion, and the incidence of respiratory infections and extrapulmonary complications was higher than that of those in the low-load group. We applied Spearman's correlation analysis to clarify the relationship between MP DNA load and the clinical severity of MPP. We found that MP DNA load was positively correlated with length of hospitalization, maximum fever temperature, CRP, PCT, Interleukin-6 (IL-6), and AST levels, and negatively correlated with fever and cough durations, white blood cell count (WBC), and proportion of monocytes (MONO). The degree of correlation was as follows: length of hospitalization > IL-6 > cough duration > AST > fever duration > PCT > WBC > proportion of MONO > maximum fever temperature > CRP levels. MP DNA load was not correlated with MP typing but was significantly correlated with the children's clinical phenotype. Therefore, the MP DNA load helps in the early diagnosis of infection and can better predict disease regression.

GraphMHC: Neoantigen prediction model applying the graph neural network to molecular structure.

Neoantigens are tumor-derived peptides and are biomarkers that can predict prognosis related to immune checkpoint inhibition by estimating their binding to major histocompatibility complex (MHC) proteins. Although deep neural networks have been primarily used for these prediction models, it is difficult to interpret the models reported thus far as accurately representing the interactions between biomolecules. In this study, we propose the GraphMHC model, which utilizes a graph neural network model applied to molecular structure to simulate the binding between MHC proteins and peptide sequences. Amino acid sequences sourced from the immune epitope database (IEDB) undergo conversion into molecular structures. Subsequently, atomic intrinsic informations and inter-atomic connections are extracted and structured as a graph representation. Stacked graph attention and convolution layers comprise the GraphMHC network which classifies bindings. The prediction results from the test set using the GraphMHC model showed a high performance with an area under the receiver operating characteristic curve of 92.2% (91.9-92.5%), surpassing a baseline model. Moreover, by applying the GraphMHC model to melanoma patient data from The Cancer Genome Atlas project, we found a borderline difference (0.061) in overall survival and a significant difference in stromal score between the high and low neoantigen load groups. This distinction was not present in the baseline model. This study presents the first feature-intrinsic method based on biochemical molecular structure for modeling the binding between MHC protein sequences and neoantigen candidate peptide sequences. This model can provide highly accurate responsibility information that can predict the prognosis of immune checkpoint inhibitors to cancer patients who want to apply it.

High-Volume Resistance Training Improves Double-Poling Peak Oxygen Uptake in Youth Elite Cross-Country Skiers and Biathletes: A Pilot Study

A total of nineteen elite youth cross-country skiers (16 ± 2 years) were divided into three groups: a low-load group (LL, n = 6) performing 15–20 repetitions per exercise, a high-load group (HL, n = 9) executing 6–12 repetitions, and a control group (CON, n = 4) exclusively engaging in endurance training. Testing included 1RM in upper-body exercises, VO2max running tests, and double-poling (DP) ergometer exhaustion and sprint tests to determine peak oxygen uptake (VO2peak-DP) and peak power (PP). The results indicated that HL and LL showed significant increases in VO2peak-DP, both in absolute values (d = −1.2 and −1.2, p &lt; 0.05) and when normalized to body mass (d = 0.93 and 1.3, p &lt; 0.05). Although there were no group*time effects for VO2peak-DP, PP during DP tests to exhaustion increased in both HL (d = −1.6, p &lt; 0.05) and LL (d = 1.4, p &lt; 0.05) compared to CON. Standardized to body mass, only HL showed significant improvements in PP during the sprint test (d = 1.7, p &lt; 0.05). During the sprint test, both absolute and body-mass-normalized peak power increased only in the high-load group (d = −1.0 and 0.93, p &lt; 0.05). In conclusion, high-load resistance training resulted in the greatest improvements in strength, DP performance, and VO2peak-DP, indicating a dose–response relationship to the load magnitude of resistance training.

The Impact of Patient Race, Patient Socioeconomic Status, and Cognitive Load of Physician Residents and Fellows on Chronic Pain Care Decisions

Social stereotypes are more likely to influence decision-making under conditions of high cognitive load (ie, mental workload), such as in medical settings. We examined how patient race, patient socioeconomic status (SES), physician cognitive load, and physician implicit beliefs about race and SES differences in pain tolerance impacted physicians’ pain treatment decisions. Physician residents and fellows (N = 120) made treatment decisions for 12 computer-simulated patients with back pain that varied by race (Black/White) and SES (low/high). Half of the physicians were randomized to be interrupted during the decision task to make hypertension medication conversion calculations (high cognitive load group), while the other half completed the task without interruptions (low cognitive load group). Both groups were given equal time to make pain care decisions (2.5 minutes/patient). Results of multilevel ordinal logistic regression analyses indicated that physicians prescribed weaker analgesics to patients with high vs. low SES (odds ratio = .68, 95% confidence interval [.48, .97], P = .03). There was also a patient SES-by-cognitive load interaction (odds ratio = .56, 95% confidence interval [.31, 1.01], P = .05) that is theoretically and potentially practically meaningful but was not statistically significant at P < .05. These findings shed light on physician cognitive load as a clinically-relevant factor in the context of pain care quality and equity. PerspectiveThese findings highlight the clinical relevance of physician cognitive load (eg, mental workload) when providing pain care for diverse patients. This line of work can support the development of interventions to manage physician cognitive load and its impact on pain care, which may ultimately help reduce pain disparities.

Rewarding Approach Behaviour Attenuates the Return of Pain-Related Avoidance After Successful Extinction with Response Prevention

After successful exposure treatment for chronic pain, pain-related fear and avoidance may return, i.e., relapse may occur. This return of fear and avoidance may be modulated by various post-treatment factors. In this study, we aimed to investigate two potential factors that may affect return of fear and avoidance, i.e. cognitive load and rewarding approach behaviour. In an operant pain-related avoidance conditioning paradigm, healthy pain-free volunteers first learned to fear and avoid an arm-reaching movement that was often paired with painful electrocutaneous stimulation (T1), by performing alternative movements that were less often (T2) or never (T3) paired with pain. During extinction with response prevention, participants were only allowed to perform T1, and pain was omitted. To model relapse, two unexpected painful stimuli were presented (i.e., reinstatement manipulation), after which participants could freely choose among the three arm-reaching movements again. During test, the Low Load group performed an additional easy digit task, whereas the High Load group performed a more cognitively demanding digit task. The Reward group performed the demanding digit task, whilst being rewarded to perform T1. Results showed that pain-related fear and avoidance returned, irrespective of cognitive load imposed. When participants were rewarded to approach T1, however, the return of avoidance, but not fear, was attenuated. Our findings suggest that engaging in rewarding activities may facilitate the maintenance of treatment outcomes, and provide additional support to the growing body of literature indicating a divergent relationship between fear and avoidance. PerspectiveResults of this experiment suggest that engaging in rewarding activities may optimize exposure treatment for chronic pain, by dampening the return of pain-related avoidance – though not of pain-related fear – after extinction.

The influence of vascular pathology on the generalizability of machine learning models for cognitive performance estimation

AbstractBackgroundImage‐based machine learning models are promising to aid diagnosis in dementia, e.g. by diagnostic classification or estimating cognitive performance. However, the contribution of vascular pathology is often ignored, although many patients have mixed pathologies. This may hamper model generalizability from research setting to clinical practice, as the models are generally developed on populations with lower vascular burden than is encountered clinically. This study aims to evaluate whether model generalizability is influenced by differences in vascular pathology load between training and test groups, represented by white matter hyperintensities (WMHs).MethodWe developed a convolutional neural network to estimate cognitive performance through ADAS13. We included 4791 timepoints from 1632 ADNI subjects. To mimic differences in vascular burden between research and clinical populations, we split the data into a low, middle and high WMH load group using WMH ratio tertiles (WMH volume corrected for intracranial volume). The model was applied to maps derived from T1‐weighted and FLAIR brain MRI using voxel‐based morphometry: model 1 (gray matter density map (GMDM), age, sex), model 2 (GMDM, WMH density map (WMHDM), age, sex) and model 3 (GMDM, log(WMH ratio), age, sex) (Fig. 1). First, we trained all models on the low WMH load group, meaning to test on the high WMH load group to assess generalizability. Second, we trained models 1 and 2 on all data. Mean Absolute Error (MAE) served as the performance metric.ResultThe models trained on the low WMH load group (MAE = 5.08 – 5.41) performed similar to constant value prediction (MAE = 5.63) (Fig. 2, circles). Using all data, models did train successfully (model 1: MAE = 5.64, model 2: MAE = 6.31, constant value: MAE = 7.39) (Fig. 2, crosses). Because of the suboptimal model training in the low WMH load group, especially for individuals with higher ADAS13 scores which were underrepresented in the data (Fig. 3), we could not evaluate generalizability to the high WMH load group.ConclusionThis study was unable to provide new insight into the influence of vascular pathology on the generalizability of machine learning models in dementia. More clinically representative data is needed, covering the full cognitive performance spectrum and higher vascular pathology loads.

The Relationship Between Cognitive Resource Consumption During Gameplay and Postgame Aggressive Behaviors: Between-Subjects Experiment.

The question of how video games can shape aggressive behaviors has been a focus for many researchers. Previous research has focused on how violent video game content leads to postgame aggressive behaviors. However, video games not only convey violence or prosocial content to players but also require cognitive effort from individuals. Since human cognitive resources are limited, consuming more cognitive resources in a game leads to less cognitive resources to suppress aggressive impulses. Therefore, the depletion of cognitive resources from playing video games may also lead to changes in postgame aggressive behaviors. This study aimed to examine the relationship between cognitive resources consumed in video games and postgame aggressive behaviors. A total of 60 participants (age: mean 20.22; range 18-24 y) were randomly assigned to either the high-load group or the low-load group. Participants from both groups played a video game centered around college life. In the low-load group, participants followed the gameplay instructions to complete it. In the high-load group, participants were given an extra digital memory task to complete while playing the game. Participants in both groups played the video game for about 25 minutes. A maze selection task was then conducted to measure the participants' helping and hurting behaviors. The independent samples 2-tailed t tests showed that the high-load group had significantly higher hurting scores (mean 3.13, SD 2.47) than the low-load group (mean 1.90, SD 2.12; t58=-2.07, P=.04; Cohen d=-0.535), whereas helping behaviors were not significantly affected (t58=1.52, P=.13; Cohen d=0.393). As more cognitive resources are consumed in a video game, more hurting behaviors are exhibited after the game. This finding proposes an alternative route by which video games impact aggressive behaviors, adding to previous theories and raising concerns about the popularity of cognitive training games.

Impact of 3D collagen-based model and hydrostatic pressure on periodontal ligament fibroblast: A morpho-biochemical analysis

This study developed a customized hydrostatic pressure-based loading environment to investigate the effect of static hydrostatic pressure on the periodontal ligament fibroblasts (PDLf) in a three-dimensional (3D) collagen-based model. The cylindrical tissue constructs were comprised of PDL fibroblast cells seeded in type I collagen matrices and divided into three experimental groups: Control (no load), low-load (∼0.07 kPa), and high-load (∼60 kPa), all subjected to 24 h of experimental duration. Cells in the 3D construct were stained with fluorophore-conjugated antibodies for cytoskeletal protein F-actin and matricellular protein periostin. Cell culture supernatant was assessed for receptor activator of nuclear factor kappaB ligand (RANKL) and osteoprotegerin (OPG) expression. Transmission electron microscopy examined the contact between the cells and the collagen matrix. Ultrastructural changes in the 3D collagen matrix were also analyzed using scanning electron microscopy. Experiments were performed in triplicates, and data was analyzed using one-way ANOVA (p < 0.05). The 3D PDLf constructs from the low-load group demonstrated the highest levels of homogeneous cell distribution and higher expression of F-actin and periostin with enhanced interaction with the matrix. The collagen matrix in this group showed more closely packed fibers forming thicker bundles when compared to the control and the high-load 3D PDLf constructs. Nonuniform cell distribution with decreased expression of F-actin and periostin was observed in the control and high-load PDLf constructs. The high-load group showed the highest RANKL/OPG expression. This study demonstrated low-level hydrostatic pressure's role in regulating PDLf functions and extracellular matrix response, while excessive hydrostatic pressure may be detrimental to PDL fibroblast cell function.

#3055 ASSOCIATION OF MORTALITY WITH INTRADIALYTIC EXERCISE IN HEMODIALYSIS PATIENTS

Abstract Background and Aims Patients with hemodialysis (HD) have an increased risk of mortality, which can be minimized by physical activity (PA). Intradialytic exercises (IDE) are very convenient, potentially increasing adherence to PA and allowing for a sedentary lifestyle. Thus, the purpose of this study was to analyze the association of IDE with mortality in patients with HD. Method A single center, prospective study in adult HD patients eligible for IDE (cycling 3 times a week) was performed. After 1 year of IDE introduction, patients were followed up for up to 3 years. Three groups were created based on the impact of IDE (minutes of exercise per week): no exercise (patients who refused IDE); low load (&amp;lt;87 min/week); high load (≥87 min/week). Kaplan-Meier models (unadjusted analysis) and Cox proportional hazard models (adjusted for age, dialysis experience, vascular access, comorbidity index, CVD, muscle tissue, overhydration, and hospitalizations) were used with a non-exercise group as a reference. In addition, a sub-analysis was conducted, limited to IDE participants, with exposure as a continuous variable. Results 106 patients (no exercise: 58; low exercise: 26; high exercise: 22) were followed for an average of 24.5 months. Uncorrected mortality differed between the three groups: (no exercise: 24.1%; low load: 23.0%; high load: 9.0%; p&amp;lt;0.01). In the adjusted analysis, the high load group had a lower risk of mortality than the no exercise group (RR = 0.42, 95% CI 0.23–0.76, p&amp;lt;0.05), while in the low load group this was not observed (RR). = 1.07, 95% CI 0.66–1.52, p = 0.568). In addition, mortality risk decreased for every 55 minutes of exercise per week in unadjusted (HR = 0.46, 95% CI 0.29–0.76, p = 0.01) and adjusted analyzes (HR = 0.54, 95% CI 0.32–0.91, p&amp;lt;0.05). Conclusion Our findings show that IDE is associated with a reduced risk of mortality in HD patients, but a significant amount of exercise is required. Thus, patients who achieve low load doses may require non-clinical approaches to PA in addition to IDE. These findings complement those of earlier studies and highlight the need for a tailored approach to the exercise.

The Effects Of Differing Density Of Swim-Training Sessions On Shoulder Range Of Motion and Isometric Force Production In National and University Level Swimmers.

Well-developed physical qualities (i.e., greater load capacity) in athletes can provide protection against injuries. Although higher competitive level swimmers have more developed physical qualities, no studies have investigated how physical qualities of the shoulder respond to a swim-training session in different competitive levels. To compare baseline shoulder external rotation range of motion (ER ROM) and isometric peak torque of the shoulder internal rotators (IR) and external rotators (ER) between national and university level swimmers with differing training volumes. To compare the post-swim changes of these physical qualities between groups. Cross-sectional. Ten male swimmers (age= 18.7 ± 1.2 years) were divided into high-load (N= 5 national-level, weekly swim-volume= 37.0 ± 2.7 km) and low-load groups (N= 5 university-level, weekly swim-volume= 6.8 ± 1.8 km). For each group, shoulder active ER ROM and isometric peak torque of the shoulder IR and ER were measured before and immediately after a high-intensity swim-training session (for each group, the hardest swim-session of the week was analyzed). The results were evaluated by the level of significance (p-value), effect size, and whether changes exceeded the measurement error. University-level swimmers had lower baseline ER torque (p= 0.006; d= 2.55) and IR torque (p= 0.011; d= 2.42) than national-level swimmers. For post-swim analysis, ER ROM decreased more in university swimmers (change= -6.3° to -8.4°; d= 0.75-1.05) than national counterparts (change= -1.9° to -5.7°; d= 0.43-0.95). Greater drops in rotation torque were found in university swimmers (IR change= -15% to -21.0%; d= 0.83-1.66; ER change= -9.0% to -17.0%; d= 1.14-1.28) compared to national swimmers (IR change= -10.0% to -13.0%; d= 0.61-0.91; ER change= -3.7% to -9.1%; d= 0.50-0.96). The average change of all tests in university swimmers exceeded the minimal detectable change (MDC), whereas in national level swimmers some tests exceeded the MDC. Despite this, only post-swim ER torque in the dominant side (p= 0.003; d= 1.18) was significantly lower in university swimmers (possibly due to the small sample size). University swimmers have less baseline shoulder external and internal rotator torque and had greater drops of all shoulder physical qualities after a swim-training session, which may have implications for injury risk. However, due to the sample size, the results have to be interpreted with caution. 3.

Banner blindness as the suppression process: No perceptual load effect on web advertising detection

ABSTRACTThe study represents an application of perceptual load theory to the real-world internet users’ behavior and contributes to the dispute whether banner blindness – a tendency to ignore the banners on web pages – is a special case of inattentional blindness or a separate phenomenon. Perceptual load theory claims that processing of task-irrelevant information can be predicted by the level of perceptual load: the subjects in a high load condition are more likely to ignore the distractors, while with a low load, task-irrelevant information is processed. In four experiments, participants were divided into low and high load groups and asked to find items on a shopping website. In the critical trial, an advertising banner appeared. No significant effect of perceptual load on banner blindness was found. Banner blindness seems to be a result of attentional filters adjustment that adapts to the abundance of information on the web pages.

Hypoglycemia and glycemic variability of people with type 1 diabetes with lower and higher physical activity loads in free-living conditions using continuous subcutaneous insulin infusion with predictive low-glucose suspend system

IntroductionMaintaining glycemic control during and after physical activity (PA) is a major challenge in type 1 diabetes (T1D). This study compared the glycemic variability and exercise-related diabetic management strategies of...

Clinical Characteristics of Children with Hemophagocytic Syndrome with Different EB Virus DNA Loads

To analyze the clinical characteristics of hemophagocytic syndrome (HLH) children with different EB virus (EBV) DNA loads, and to explore the relationship between differential indicators and prognosis. Clinical data of 73 children with HLH treated in our hospital from January 2015 to April 2022 were collected. According to EBV DNA loads, the children were divided into negative group (≤5×102 copies/ml), low load group (>5×102-<5×105 copies/ml) and high load group (≥5×105copies/ml）. The clinical symptoms and laboratory indexes of the three groups were compared, and the ROC curve was used to determine the best cut-off value of the different indexes. Cox regression model was used to analyze the independent risk factors affecting the prognosis of children, and to analyze the survival of children in each group. The proportion of female children, the swelling rate of liver and spleen lymph nodes and the involvement rate of blood, liver, circulation and central nervous system in the high load group were higher than those in the negative group. The incidence of disseminated intravascular coagulation(DIC) and central nervous system(CNS) involvement in the high load group were higher than those in the low load group. The liver swelling rate and circulatory system involvement rate in the low load group were higher than those in the negative group(P<0.05). PLT counts in the high load group were significantly lower than those in the negative group, and the levels of GGT, TBIL, CK-MB, LDH, TG, SF, and organ involvement were significantly higher than those in the negative group. The levels of CK, LDH, SF and the number of organ involvement in the high load group were significantly higher than those in the low load group. The levels of GGT and TBIL in low load group were significantly higher than those in negative group. In terms of treatment, the proportion of blood purification therapy in the high and low load group was significantly higher than that in the negative group(P<0.01). ROC curve analysis showed that the best cut-off values of PLT, LDH, TG and SF were 49.5, 1139, 3.12 and 1812, respectively. The appellate laboratory indicators were dichotomized according to the cut-off value, and the differential clinical symptoms were included in the Cox regression model. Univariate analysis showed that LDH>1139 U/L, SF>1812 μg/L, dysfunction of central nervous system, number of organ damage, DIC and no blood purification therapy were the risk factors affecting the prognosis of children (P<0.05); Multivariate analysis shows that PLT≤49.5×109/L and dysfunction of central nervous system were risk factors affecting the prognosis of children (P<0.05). Survival analysis showed that there was no significant difference in the survival rate among the three groups. The incidence of adverse prognostic factors in children with HLH in the EBV-DNA high load group is higher, and there is no significant difference in the survival rate of the three groups after blood purification therapy. Therefore, early identification and application of blood purification therapy is of great significance for children with HLH in the high load group.

Synthesis of 3-aminoquinolines from α-imino rhodium carbenes and 2-aminobenzaldehydes.

A facile and efficient synthetic method for 3-aminoquinolines has been reported. The straightforward process starts from easily available triazoles and 2-aminobenzaldehydes. Low catalyst loading and good functional group compatibility are the other two merits of this transformation. Easy decoration of the 3-aminoquinoline motifs enabled the convenient synthesis of bioactive molecules, demonstrating the potential of this protocol in organic synthesis.

INFLUÊNCIAS DA GINÁSTICA NA COMPOSIÇÃO CORPORAL E NA FUNÇÃO CARDIOPULMONAR DE ATLETAS

ABSTRACT Introduction: Aerobics is a recreational, ornamental, rhythmic, and expressive sport. It is widely used in physical education in colleges and universities because it is also believed that this sport benefits the cardiopulmonary function and the body composition of the practitioners. Objective: Study the influences of aerobic gymnastics on body composition and cardiopulmonary function in its practitioners. Methods: 40 college students volunteered for the research sample. The living conditions and learning level of the subjects were the same. The students were divided into two groups for research. There was no significant difference between the groups comparing the volunteers’ age, height, and weight. The high-load group performed exercises with a maximum heart rate of 220, while the low-load group performed the same protocol under a maximum heart rate of 195 beats per minute. The intervention took place over 40 and 60 minutes of exercise, respectively, for eight weeks. The POLAR monitor was used to check the kinematic performance of the athletes. The data were processed statistically. Results: Aerobic gymnastics influenced the body composition of college students with significant differences in bust circumference, waist, hip, thigh, and skinfold thickness (P&lt;0.05). The athletes' heart rate, pulmonary ventilation, and diastolic pressure increased significantly after aerobic gymnastics. The study showed that the resting heart rate of the volunteers decreased significantly after exercise, and their lung function returned to normal (P&lt;0.05). Conclusion: Aerobic exercise can improve the body composition, physiology, and cardiopulmonary function of its practitioners, and its greater encouragement in colleges and universities is recommended. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

The influence of white matter hyperintensities severity on functional brain activity in cerebral small vessel disease: An rs-fMRI study.

To investigate relationships between the severity of white matter hyperintensities (WMH), functional brain activity, and cognition in cerebral small vessel disease (CSVD) based on resting-state functional magnetic resonance imaging (rs-fMRI) data. A total of 103 subjects with CSVD were included. The amplitude of low frequency fluctuations (ALFF), regional homogeneity (ReHo), functional connectivity (FC) and their graph properties were applied to explore the influence of WMH burden on functional brain activity. We also investigated whether there are correlations between different functional brain characteristics and cognitive assessments. Finally, we selected disease-related rs-fMRI features in combination with ensemble learning to classify CSVD patients with low WMH load and with high WMH load. The high WMH load group demonstrated significantly abnormal functional brain activity based on rs-MRI data, relative to the low WMH load group. ALFF and graph properties in specific brain regions were significantly correlated with patients' cognitive assessments in CSVD. Moreover, altered rs-fMRI signal can help predict the severity of WMH in CSVD patients with an overall accuracy of 92.23%. This study provided a comprehensive analysis and evidence for a pattern of altered functional brain activity under different WMH load in CSVD based on rs-fMRI data, enabling accurately individual prediction of status of WMH.