Objective:To investigate the clinical characteristics and major allergens of patients with pollen-food allergy syndrome（PFAS） and their correlation with the severity of symptoms, and to provide a basis for identifying high-risk patients, optimizing the allergen testing process and developing individualized dietary management strategies. Methods:The clinical data of 166 patients with PFAS admitted to our hospital from January 2021 to July 2023 were retrospectively analyzed. The clinical symptoms, pollen types and food allergy of the patients were analyzed by questionnaire survey and serum specific IgE detection. phi coefficient, Apriori algorithm modeling and multivariate logistic regression analysis were used to evaluate the association between allergen and symptom severity. Results:Artemisia pollen was the most common allergen in this area, with a positive rate of 96.39%. Peach and mango were the most common food allergens, which caused allergic reactions in 24.10% and 22.89% of patients, respectively. Oral mucosal symptoms were the main symptoms. Correlation analysis showed that there was a correlation between pollen allergens and allergenic food. Association rule analysis showed that when the patient was allergic to the combination of peanuts and trees, the probability of high severity of symptoms was 82.35%. Multivariate analysis showed that ragweed allergy was significantly positively correlated with the severity of PFAS symptoms. Conclusion:Artemisia pollen and related food allergens play an important role in the pathogenesis of PFAS. Association rule mining and network map analysis revealed direct associations between peanut and tree combination allergy and symptom severity, as well as potential links between other inhaled allergens and specific food allergies. Ragweed and peach allergy are independent risk factors for the aggravation of PFAS symptoms, which can be used as early warning indicators. These results help to improve the screening of high-risk patients and the construction of regional allergen databases.
Humans ; Food Hypersensitivity/immunology* ; Allergens/immunology* ; Retrospective Studies ; Pollen/immunology* ; Cross Reactions ; Immunoglobulin E/blood* ; Rhinitis, Allergic, Seasonal/immunology* ; Artemisia/immunology* ; Male ; Female ; Adult ; Prunus persica/immunology* ; Arachis/immunology* ; Middle Aged ; Surveys and Questionnaires ; Oral Allergy Syndrome

Purpose To assess the utility of echocardiographic parameters in predicting adverse cardiovascular in patients with connective tissue disease.Materials and Methods A retrospective analysis was conducted on the clinical and echocardiographic records of patients with connective tissue disease from the Affiliated Hospital of Inner Mongolia Medical University(June 1st,2020 to June 1st,2023)who had complete medical data and at least twelve months of follow-up.Variables were screened based on univariate analysis,combined with clinical expertise and XGBoost feature weight analysis;this information was used to construct a Cox proportional hazards regression model designed to predict composite endpoint events of adverse cardiovascular outcomes.Internal validation was performed using the Bootstrap resampling method,and the model's performance was evaluated.Results The study included 123 participants.The incidence of positive events reached 39.02%(48/123).Mitral valve early diastolic annular velocity(reflecting left heart function)(HR=0.79,P=0.041)and tricuspid annular plane systolic excursion(reflecting right heart function)(HR=0.92,P=0.044)emerged as significant predictors for adverse cardiovascular outcomes.Compared with the clinical model,the model combined with left heart function parameters showed significant improvements in both risk classification and absolute accuracy for short-term and medium-term adverse prognosis(NRI365=0.054,IDI365=0.060,NRI730=0.064,IDI730=0.079,all P<0.05)and optimized risk classification for long-term adverse prognosis(NRI1 095=0.256,P<0.05).In contrast,the model combined with right heart function parameters improved risk classification at all time points(NRI365=0.054,NRI730=0.000,NRI1 095=0.135,all P<0.05).Conclusion Mitral valve early diastolic annular velocity and tricuspid annular plane systolic excursion,which reflect cardiac function,are factors for predicting adverse cardiovascular outcomes among individuals diagnosed with connective tissue disease.Multi-parameter combined models incorporating echocardiographic variables can provide incremental predictive value compared with clinical models.

Objective:To investigate the incidence and high-risk pathogenic factors of cardiovascular disease（CVD）in patients with rheumatic and autoimmune diseases，and to construct and validate a predictive model for the risk of CVD occurrence in these patients.Methods:A retrospective analysis was conducted on 239 patients with rheumatic and autoimmune diseases who underwent treatment and echocardiography at the Affiliated Hospital of Inner Mongolia Medical University between June 2020 and June 2023. General patient data，laboratory test results，and echocardiographic findings were collected. Follow-up was performed via electronic medical records or telephone surveys until December 2024 to determine the incidence of CVD，starting from the date of the first echocardiographic examination. Predictive factors were screened using univariate analysis and Lasso regression，and a Logistic regression model was constructed. Internal validation was performed using the Bootstrap method. The model's accuracy and clinical utility were assessed using the Hosmer-Lemeshow test，calibration curve，and decision curve analysis.Results:Among the 239 patients，111 developed CVD. Logistic regression analysis identified age，diastolic blood pressure，use of immunosuppressants，lymphocyte count（LYM），α-hydroxybutyrate dehydrogenase（α-HBDH）level，serum cystatin C（CysC），and right ventricular fractional area change（RVFAC）as independent predictive factors for CVD in these patients（all P<0.05）. The area under the ROC curve（AUC）for the prediction model was 0.895（95% CI = 0.856 - 0.935），and after Bootstrap validation，it was 0.894（95% CI = 0.861-0.925）. The Hosmer-Lemeshow test，calibration curve，and decision curve analysis all indicated that the model had good accuracy and clinical utility. Conclusions:Age，diastolic blood pressure，use of immunosuppressants，LYM，α-HBDH，CysC，and RVFAC may serve as independent risk factors for CVD in patients with rheumatic and autoimmune diseases. The prediction model based on echocardiography combined with laboratory indicators can，to some extent，predict the risk of CVD occurrence in these patients.

Objective:To investigate the incidence and high-risk pathogenic factors of cardiovascular disease（CVD）in patients with rheumatic and autoimmune diseases，and to construct and validate a predictive model for the risk of CVD occurrence in these patients.Methods:A retrospective analysis was conducted on 239 patients with rheumatic and autoimmune diseases who underwent treatment and echocardiography at the Affiliated Hospital of Inner Mongolia Medical University between June 2020 and June 2023. General patient data，laboratory test results，and echocardiographic findings were collected. Follow-up was performed via electronic medical records or telephone surveys until December 2024 to determine the incidence of CVD，starting from the date of the first echocardiographic examination. Predictive factors were screened using univariate analysis and Lasso regression，and a Logistic regression model was constructed. Internal validation was performed using the Bootstrap method. The model's accuracy and clinical utility were assessed using the Hosmer-Lemeshow test，calibration curve，and decision curve analysis.Results:Among the 239 patients，111 developed CVD. Logistic regression analysis identified age，diastolic blood pressure，use of immunosuppressants，lymphocyte count（LYM），α-hydroxybutyrate dehydrogenase（α-HBDH）level，serum cystatin C（CysC），and right ventricular fractional area change（RVFAC）as independent predictive factors for CVD in these patients（all P<0.05）. The area under the ROC curve（AUC）for the prediction model was 0.895（95% CI = 0.856 - 0.935），and after Bootstrap validation，it was 0.894（95% CI = 0.861-0.925）. The Hosmer-Lemeshow test，calibration curve，and decision curve analysis all indicated that the model had good accuracy and clinical utility. Conclusions:Age，diastolic blood pressure，use of immunosuppressants，LYM，α-HBDH，CysC，and RVFAC may serve as independent risk factors for CVD in patients with rheumatic and autoimmune diseases. The prediction model based on echocardiography combined with laboratory indicators can，to some extent，predict the risk of CVD occurrence in these patients.

Purpose To assess the utility of echocardiographic parameters in predicting adverse cardiovascular in patients with connective tissue disease.Materials and Methods A retrospective analysis was conducted on the clinical and echocardiographic records of patients with connective tissue disease from the Affiliated Hospital of Inner Mongolia Medical University(June 1st,2020 to June 1st,2023)who had complete medical data and at least twelve months of follow-up.Variables were screened based on univariate analysis,combined with clinical expertise and XGBoost feature weight analysis;this information was used to construct a Cox proportional hazards regression model designed to predict composite endpoint events of adverse cardiovascular outcomes.Internal validation was performed using the Bootstrap resampling method,and the model's performance was evaluated.Results The study included 123 participants.The incidence of positive events reached 39.02%(48/123).Mitral valve early diastolic annular velocity(reflecting left heart function)(HR=0.79,P=0.041)and tricuspid annular plane systolic excursion(reflecting right heart function)(HR=0.92,P=0.044)emerged as significant predictors for adverse cardiovascular outcomes.Compared with the clinical model,the model combined with left heart function parameters showed significant improvements in both risk classification and absolute accuracy for short-term and medium-term adverse prognosis(NRI365=0.054,IDI365=0.060,NRI730=0.064,IDI730=0.079,all P<0.05)and optimized risk classification for long-term adverse prognosis(NRI1 095=0.256,P<0.05).In contrast,the model combined with right heart function parameters improved risk classification at all time points(NRI365=0.054,NRI730=0.000,NRI1 095=0.135,all P<0.05).Conclusion Mitral valve early diastolic annular velocity and tricuspid annular plane systolic excursion,which reflect cardiac function,are factors for predicting adverse cardiovascular outcomes among individuals diagnosed with connective tissue disease.Multi-parameter combined models incorporating echocardiographic variables can provide incremental predictive value compared with clinical models.

Objective To establish normal reference values for left ventricular trabecular and papillary muscle mass(TPMM)in Chinese adults using MRI and to explore its impact factors.Methods A total of 168 healthy Chinese adults were retrospectively included,and compacted and total left ventricular myocardial mass(LVM)were measured using traditional and dedicated methods,respectively.TPMM was calculated from the difference between total and compacted LVM.Independent sample t-tests and analysis of variance were used to explore the differences in TPMM among genders and age groups,while multiple linear regression was used to explore the independent correlation between TPMM and age,gender,heart rate,systolic blood pressure(SBP),fasting blood glucose(FBG),and body mass index(BMI).Results TPMM for men was significantly larger than that for female(P<0.001).TPMM in the elderly group was significantly larger in female(P<0.05),but not in men.Multiple linear regression showed that BMI and SBP were both independently positively correlated with TPMM,and female and heart rate were independently negatively correlated with TPMM(P<0.05).Conclusion This study provides age-and gender-specific normal reference values for TPMM in Chinese adults.Gender,heart rate,BMI,and SBP are all independently associated with TPMM.

【Objective】 To investigate the screen exposure status in 3- to 6-year-old children in Minhang district and to analyze its determinants, so as to provide a basis for scientific intervention of screen exposure in children. 【Methods】 A total of 1 035 children aged 3 to 6 years were selected from 30 classes in 10 kindergartens in Minhang district by multi-stage cluster sampling in October 2022. An online questionnaire survey was conducted by their parents. Screen exposure was difined as spending more than one hour on video products per day. Multivariate Logistic regression model was adopted to analyze the determinants of children screen exposure. 【Results】 Among 1 035 children, 730 experienced screen exposure (70.53%). The average time of daily screen exposure was (1.67±0.98)h. The daily screen exposure time of children aged 3, 4, 5 and 6 years at weekends was (1.77±1.13), (1.76±1.04), (1.98±1.10)h and(2.08±1.22)h, respectively, and the difference was statistically significant (F=3.98, P<0.01). Multivariate Logistic analysis showed that age group of 5 years old (OR=1.79, 95%CI:1.19 - 2.68), the caregivers using video products for 1 - 2hours/day (OR=2.61, 95%CI:1.90 - 3.60) and >2hours/day (OR=2.10, 95%CI:1.35 - 3.27) when accompanying children, parents supporting children using video products(OR=1.59, 95%CI:1.17 - 2.15), children using video products before bedtime(OR=1.94, 95%CI:1.32 - 2.86), and unsupervised use of video products for children(OR=1.94, 95%CI:1.36 - 2.77) were independent risk factors for children′s screen exposure(P<0.05). Father′s education level of bachelor(OR=0.61,95%CI:0.43 - 0.89), master and above(OR=0.49, 95%CI:0.34 - 0.73) was a protective factor for children′s screen exposure(P<0.05). 【Conclusions】 Attention should be paid to the problem of screen exposure of 3 -to 6 - year-old children. Targeted efforts should be made to popularize the knowledge of the harm of early screen exposure to children among caregivers, caregivers are advocated for the rule formulation of screen behavior, scientifically regulate children′s screen exposure behaviors, and increase parent-child communication, so as to reduce the adverse effects of screen exposure on children′s health.

Objective:To visualize the relationship between different combinations of mechanical power exposure intensity-duration and death risk in mechanical ventilation patients using a visualization method.Methods:Critically ill patients receiving mechanical ventilation were selected from the Medical Information Mart for Intensive Care-Ⅳ v1.0 (MIMIC-Ⅳ v1.0) database. The patients were divided into four subgroups according to oxygenation index (PaO 2/FiO 2) including > 300 mmHg (1 mmHg≈0.133 kPa) group, 201-300 mmHg group, 101-200 mmHg group and ≤100 mmHg group. The baseline characteristics, ventilator parameters, and prognostic indicators for different patient populations were collected. For each patient, the mechanical power thresholds from low to high (5-30 J/min, increasing at intervals of 1 J/min) were used to evaluate the different exposures of mechanical power (above the set threshold was recorded as one exposure), and the number of events with different exposure intensity-duration combinations was counted based on their corresponding durations. Based on the 28-day survival/non-survival status, the number of exposures for survivors and non-survivors in each exposure intensity-duration combination was calculated, and the survival odds ratio ( OR) for different mechanical power exposure intensity-duration combinations was subsequently computed. Two-dimensional tables were generated with mechanical power exposure duration on the x-axis and exposure intensity on the y-axis, and the heatmap and its corresponding equipotential line view were used to visualize the OR value to assess the risk of death. Results:A total of 5 378 patients receiving mechanical ventilation were enrolled in the study, of whom 2 069 patients in the PaO 2/FiO 2 > 300 mmHg group, 813 patients in the 201-300 mmHg group, 1 493 patients in the 101-200 mmHg group, and 1 003 patients in the ≤100 mmHg group. The severity scores of patients, including sequential organ failure assessment (SOFA) score and simplified acute physiology score Ⅱ (SAPSⅡ), gradually increased following the decrease in PaO 2/FiO 2, and the incidence of co-morbidities also gradually increased. In terms of ventilator parameters, mechanical power was increased gradually with decrease in PaO 2/FiO 2, measuring 10.4 (7.8, 13.9), 11.3 (8.5, 14.7), 13.6 (10.0, 18.2), and 16.7 (12.5, 22.0) J/min ( P < 0.01). In terms of prognosis, 28-day mortality of patients was gradually increased with decrease in PaO 2/FiO 2 [29.1% (601/2 069), 26.9% (219/813), 28.1% (420/1 493), and 33.3% (334/1 003), respectively, P < 0.05]. In the heatmap, it could be observed that the 28-day death risk of mechanical ventilation patients was gradually increased with increase in mechanical power exposure intensity and long duration, showing two distinct areas: a region near the bottom left corner (representing low mechanical power exposure intensity and short duration) was blue, indicating a greater chance of survival. In contrast, another region near the top right corner (representing high mechanical power exposure intensity and long duration) was red, indicating a higher risk of death. According to the fitted lines of death risk, for the same risk of death, a shorter mechanical power exposure duration was required for higher exposure intensity, while lower mechanical power exposure intensity required a longer exposure duration. The above trend of change was similarly reflected in the overall population and different oxygenation populations. Conclusions:Cumulative mechanical power exposure to higher intensity and/or longer duration is associated with worse outcomes in mechanical ventilation patients. Considering both the mechanical power exposure intensity and duration may help to evaluate the effectiveness of lung protection in mechanical ventilation patients and guide adjustments in mechanical ventilation strategy to reduce the risk of ventilator-induced lung injury.

Objective To determine whether local gradient fluid shear stress(FSS)causes a specific distribution of intracellular calcium ion concentration,which ultimately determines the direction of cell migration.Methods Numerical simulations were performed using COMSOL software.The method of staining intracellular calcium ion for RAW264.7 osteoclast precursors was established.After applying gradient FSS on the cells,the distribution and dynamic changes of intracellular calcium ion concentration and cell migration parameters were analyzed.Results Osteoclast precursors tended to migrate towards regions with lower FSS,and oscillatory flow regulated the distribution of intracellular calcium ions along the direction of cell migration.After blocking phospholipase C(PLC),mechanosensitive cation-selective channels(MSCC),endoplasmic reticulum(ER),and removing extracellular calcium,the migration speed of cells towards the low FSS direction was significantly reduced,but the migration speed along the liquid flow direction was significantly enhanced.Meanwhile,the calcium ion distribution along the liquid flow direction was significantly increased.Conclusions Osteoclast precursors can sense the FSS gradient,resulting in a specific distribution of intracellular calcium ions along the direction of migration.This ultimately leads to the migration of osteoclast precursors towards regions with lower FSS.This study provides important basic data for ultimately elucidating the cellular and molecular mechanisms of bone tissue remodeling under dynamic external forces.

ObjectiveTo analyze the effects of different feeding patterns on the physical and nutritional status of children aged 6‒12 months， so as to provide reference for promoting scientific feeding and health development of infants and young children. MethodsChildren born between December 2019 and February 2020 and who had completed three follow-up visits at 6‒， 9‒ （8‒10 months） and 12‒ （11‒14 months） months old in all of the 13 communities of Minhang， Shanghai were selected. The subjects’ basic information was investigated by questionnaires. The indicators including feeding pattern， physical development （body weight， body length， head circumference） and nutritional status （the detection rate of overweight， obesity， low body weight， growth retardation， emaciation and iron deficiency anemia） were followed up in the outpatient department， with iron deficiency anemia only monitored at the 6‒ and 12‒ months old. According to different feeding patterns， the groups of 6‒ months old were divided into three groups of exclusive breast feeding （EBF）， mixed feeding （MF） and artificial feeding （AF）， while 9‒ and 12‒ months old were divided into MF and AF groups. The differences of basic information and follow-up results among the groups were analyzed. ResultsA total of 470 children were included， including 130 （27.66%）， 288 （61.28%） and 52 （11.06%） respectively in EBF， MF and AF groups at the 6‒ months old，and 319 （67.87%） and 196 （41.70%） in MF group at the 9‒ and 12‒ months old. There was no significant difference in the other follow-up results among the groups. The detection rate of iron deficiency anemia in 6‒ months old EBF （13.08%） was higher than that in MF group （5.90%） and AF group （1.92%） （χ²=8.40， P=0.010）， while it was still higher in 12‒ months old MF group （9.69%） than in AF group （2.92%） （χ²=9.68， P=0.002）. ConclusionThere is no significant difference in body weight，body length， head circumference， and the detection rates of overweight， obesity， low body weight， growth retardation and emaciation among the groups of different feeding patterns in the children aged 6‒12 months. The detection rate of iron deficiency anemia in the EBF and MF groups is significantly higher than that in the AF groups of children aged 6‒ and 12‒ months old.