ObjectiveTo investigate the triglyceride-glucose (TyG) index and the level of serum homocysteine (Hcy) in association with the incidence of stroke in type 2 diabetes mellitus (T2DM) patients. MethodsBased on the chronic disease risk factor surveillance cohort in Pudong New Area, Shanghai, excluding those with stroke in baseline survey, T2DM patients who joined the cohort from January 2016 to October 2020 were selected as the research subjects. During the follow-up period, a total of 318 new-onset ischemic stroke patients were selected as the case group, and a total of 318 individuals matched by gender without stroke were selected as the control group. The Cox proportional hazards regression model was used to adjust for confounding factors and explore the serum TyG index and the Hcy biochemical indicator in association with the risk of stroke. ResultsThe Cox proportional hazards regression results showed that after adjusting for confounding factors, the risk of stroke in T2DM patients with 10 μmol·L⁻¹-¹ and Hcy>15 μmol·L⁻¹ was 1.532 times (95%CI: 1.017‒2.309 times, P=0.041) and 1.738 times (95%CI: 1.119‒2.699 times, P=0.014) higher respectively, compared to T2DM patients with Hcy≤10 μmol·L⁻¹. T2DM patients with TyG>9.074 had 1.396 times higher risk of stroke (95%CI: 1.091‒1.787, P=0.008) compared to those with TyG≤9.074. The study found that urea and α1-antitrypsin (α1-AT) were independent risk factors for the incidence of stroke in T2DM patients. For every unit increase in urea andα1-AT, the risk of stroke in T2DM patients increased by 233.6% (HR=3.336, 95%CI: 1.588‒7.009, P=0.001) and 11.3% (HR=1.113, 95%CI: 1.028‒1.205, P=0.008), respectively. Cumulative risk curves showed that Hcy>10 μmol·L⁻¹ and TyG>9.074 accelerated the time to stroke occurrence in T2DM patients. ConclusionElevated levels of Hcy>10 μmol·L⁻¹ and a higher TyG index are risk factors for stroke in T2DM patients. Effective interventions for Hcy and TyG should be conducted for diabetic patients to reduce the incidence of stroke.

ObjectiveTo investigate the correlation between iron metabolism parameters and various syndrome types of unstable angina pectoris （UAP）. MethodsA cross-sectional study was conducted from October 2021 to October 2023， encompassing 213 patients diagnosed with UAP at Xiyuan Hospital of Chinese Academy of Chinese Medical Sciences. Additionally， 30 healthy individuals were selected as control cases. Single-factor analysis was used to investigate the differences in clinical data among different Traditional Chinese Medicine （TCM） syndrome types of UAP and their correlation with iron metabolism indices. The study conducted a comparative analysis of the aforementioned clinical data among patients with and without heat-toxic and blood-stasis syndrome. Logistic regression was used to analyze the correlation between TCM syndrome types and related factors. The receiver operator characteristic （ROC） curve was employed to assess the predictive value of iron metabolism indices， along with their sensitivity and specificity. ResultsCompared to those in the control group， serum iron （SI） and serum ferritin （SF） levels were significantly increased in the UAP group （P<0.01）， while transferrin （TRF） and total iron binding capacity （TIBC） levels were decreased （P<0.01）. However， there was no significant difference in unsaturated iron binding capacity （UIBC）. Multivariate binary Logistic regression analysis identified apolipoprotein A1 （ApoA1）， homocysteine （HCY）， high-sensitivity C-reactive protein （hs-CRP）， and SF as independent influencing factors for the UAP patients （P<0.05， P<0.01）. Additionally， statistically significant differences were observed in SI， SF， TRF， and TIBC among 213 patients with different TCM types （P<0.01）. Patients with heat-toxic and blood-stasis syndrome had higher SI and SF values than those without the syndrome （P<0.01）， while their TIBC and TRF values were lower （P<0.01）. Multivariate binary logistic regression analysis showed that SI and LDL-C levels were closely associated with the differentiation of heat-toxic and blood-stasis syndrome. ConclusionUAP patients often experience iron metabolism disorders， and the heat-toxic and blood-stasis syndrome are significantly correlated with iron metabolism parameters. The SI and LDL-C levels have high specificity and sensitivity in diagnosing heat-toxic and blood-stasis syndrome.

Hyperlipidemia is characterized by elevated levels of blood lipids. The clinical manifestations are mainly atherosclerosis caused by the deposition of lipids in the vascular endothelium. The link between abnormal lipid metabolism and sudden hearing loss remains unclear. This article presents a case study of sudden hearing loss accompanied by familial hyperlipidemia. Pure tone audiometry indicated intermediate frequency hearing loss in one ear. Laboratory tests showed abnormal lipid metabolism, and genetic examination identified a heterozygous mutation in theAPOA5 gene. Diagnosis: Sudden hearing loss; hypercholesterolemia. The patient responded well to pharmacological treatment. This paper aims to analyze and discuss thepotential connection between abnormal lipid metabolism and sudden hearing loss.
Humans ; Audiometry, Pure-Tone ; Deafness/complications* ; Hearing Loss, Sensorineural/diagnosis* ; Hearing Loss, Sudden/diagnosis* ; Hyperlipidemias/complications* ; Lipids

ObjectiveTo evaluate the intervention effect of meteorological risk forecasting service on acute onset and medical expenses of chronic obstructive pulmonary disease（COPD） patients， and to provide scientific basis for the establishment of health management model for chronic obstructive pulmonary disease（COPD） patients. MethodsStudy subjects were recruited from chronic obstructive pulmonary patients aged ≥40 in Pudong New Area. Propensity score matching method was used to determine the intervention group and the control group. The control group received regular health education and follow-up management， and the intervention group was provided with meteorological and environmental risk forecasting services through WeChat， mobile phone short message service（SMS）and telephone. Finally， a total of2 589 subjects were included in the analysis， including 1 300 in the intervention group and 1 289 in the control group. General demographic data， past medical history and family history of COPD， COPD related knowledge and practice survey， COPD related symptom assessment， acute onset， health service utilization and medical expenses before and after intervention were collected through questionnaire survey. The differences of acute attack， health service utilization and related medical expenses between the two groups before and after intervention were compared to evaluate the intervention effect. ResultsIn terms of acute attacks， after intervention， the incidence of acute attacks in the intervention group was lower than that before intervention（χ²=52.901， P<0.001）， and the incidence of acute attacks in the groups with different intervention methods was lower than that before intervention （P<0.001）. WeChat had the best effect， decreasing the incidence by 14.4%， followed by mobile phone SMS SMS decreasing by 12.3%. In terms of utilization of health services， the outpatient rate due to acute attack was lower in the intervention group after intervention than that before intervention （χ²=7.129， P=0.008）， and the outpatient rate due to acute attack was lower in the subjects who received the forecast service through mobile phone SMS than that before intervention （χ²=4.675， P<0.001）. In terms of medical expenses， there was no significant difference between control group and intervention group with different intervention methods before intervention （P>0.05）. After intervention， the difference between the control group and the intervention group with different intervention methods was statistically significant （H=11.864， P<0.05）. The results of multiple comparisons showed that compared with the control group， the average annual medical expenses of patients receiving mobile phone SMS and telephone forecasting services after intervention were lower than those of the control group， and the difference was statistically significant （P<0.05）. ConclusionMeteorological risk forecasting service can reduce the acute onset of COPD， reduce the rate of consultation and medical expenses due to acute onset， and provide scientific basis for the basic COPD health management model.

Objective To explore the relationship between baseline urinary protein levels and the onset of chronic obstructive pulmonary disease (COPD). Methods A questionnaire survey, blood and urine sample collection, physical examination, and pulmonary function test were conducted among permanent residents over 40 years old in Pudong New Area, Shanghai. The subjects were divided into four groups based on the baseline urine albumin-to-creatinine ratio (ACR) quartiles (0~1.65 mg/g, 1.65~4.89 mg/g, 4.89~10.78 mg/g, and ≥10.78 mg/g). Cox regression analysis was used to explore the relationship between ACR levels and the incidence of COPD in middle-aged and elderly people. Results Among the 3 105 subjects, the median follow-up time was 3.212 years (P25~P75：3.102~3.473). 116 new cases of COPD were observed, with an incidence density of 10.423 per 1000 person-years. The incidence densities for COPD at four ACR levels were 7.922 per 1 000 person-years, 8.300 per 1 000 person-years , 11.419 per 1 000 person-years, and 13.843 per 1 000 person-years, respectively. Cox regression analysis revealed that as the ACR level increased, there was a rising trend in the incidence rate of COPD (χ²=4.396, P=0.036). After adjusting for gender, age, education level, occupational exposure to dust, history of childhood pneumonia, smoking, family history of COPD, central obesity, and hypertension, the risk of developing COPD was 2.499 times higher (95% CI: 1.460~4.276) for ACR levels ≥10.78 mg/g compared to the reference group with a baseline ACR level of 0~1.65 mg/g. Conclusion Elevated ACR levels in middle-aged and elderly population may increase the risk of COPD, and early monitoring of urine protein levels is beneficial for COPD prevention.

Objective:To analyze the clinical characteristics, curative effect related factors and follow-up situation of bilateral sudden sensorineural hearing loss (BSSHL).Methods:The clinical data of 169 patients(338 ears) with BSSHL were retrospectively summarized, and the demographic characteristics, predisposing factors, concomitant symptoms and diseases, and audiological characteristics were statistically described. Additionally, influencing factors of curative effect and prognosis were statistically analyzed.Results:Among the 169 patients, 50.9% (86/169) of patients had at least one incentive, with cold and fatigue being the most common incentives(both 23/169). There were high rates of accompanying symptoms including tinnitus (150/169, 88.8%) and dizziness (100/169, 59.2%). Hypertension(49/169, 29.0%)and diabetes(23/169, 13.6%)were the most common concomitant diseases observed. Most cases exhibited all frequencies involvement, with flat type and total deafness type accounting for 83.1%(281/338 ears). The most common degree of hearing loss was total deafness(86/338 ears), with approximately 60.1%(203/338 ears) of the cases being severe or worse. The total effective rate of treatment was only 29.0%, but it increased to 39.5% for patients with course of disease≤14 days, however, when course of disease>30 days, the effective rate decreased sharply to 3.6%, showing a significant difference between these two groups( χ2=13.776,<0.01). Different types of hearing curves showed statistically significant difference in efficiency( χ2=14.782, P<0.01). Comparing the hearing improvements of 28 BSSHL patients from admission to discharge and from discharge to follow-up, it was found that the hearing improvement of the two groups showed statistically significant difference at the frequencies of L-250 Hz, L-500 Hz, R-125 Hz, R-250 Hz and R-500 Hz( Z value was -2.495, -3.083, -3.970, -3.388 and -3.264 respectively, all P<0.05). The proportion of patients with elevated serum IgE was much higher than that of the normal population. Conclusion:BSSHL patients suffer from serious hearing loss, and many also experience tinnitus and vertigo symptoms. Due to the poor efficiency of treatment, it is better for patients to be treated within 30 days of onset. For patients of hearing loss in the low frequency range, hearing improvement is more significant during hospitalization. And the occurrence of BSSHL may involve an immune mechanism.

Objective To identify the biomarkers for early rheumatoid arthritis(RA)diagnosis and explore the possible immune regulatory mechanisms.Methods The differentially expressed genesin RA were screened and functionally annotated using the limma,RRA,batch correction,and clusterProfiler.The protein-protein interaction network was retrieved from the STRING database,and Cytoscape 3.8.0 and GeneMANIA were used to select the key genes and predicting their interaction mechanisms.ROC curves was used to validate the accuracy of diagnostic models based on the key genes.The disease-specific immune cells were selected via machine learning,and their correlation with the key genes were analyzed using Corrplot package.Biological functions of the key genes were explored using GSEA method.The expression of STAT1 was investigated in the synovial tissue of rats with collagen-induced arthritis(CIA).Results We identified 9 core key genes in RA(CD3G,CD8A,SYK,LCK,IL2RG,STAT1,CCR5,ITGB2,and ITGAL),which regulate synovial inflammation primarily through cytokines-related pathways.ROC curve analysis showed a high predictive accuracy of the 9 core genes,among which STAT1 had the highest AUC(0.909).Correlation analysis revealed strong correlations of CD3G,ITGAL,LCK,CD8A,and STAT1 with disease-specific immune cells,and STAT1 showed the strongest correlation with M1-type macrophages(R=0.68,P=2.9e-08).The synovial tissues of the ankle joints of CIA rats showed high expressions of STAT1 and p-STAT1 with significant differential expression of STAT1 between the nucleus and the cytoplasm of the synovial fibroblasts.The protein expressions of p-STAT1 and STAT1 in the cell nuclei were significantly reduced after treatment.Conclusion CD3G,CD8A,SYK,LCK,IL2RG,STAT1,CCR5,ITGB2,and ITGAL may serve as biomarkers for early diagnosis of RA.Gene-immune cell pathways such as CD3G/CD8A/LCK-γδ T cells,ITGAL-Tfh cells,and STAT1-M1-type macrophages may be closely related with the development of RA.

Objective:To explore the behavioral intention of nurses for pain management after abdominal surgery based on the planned behavior theory.Methods:According to the framework of planned behavior theory, an interview outline was developed. Using the purposive sampling method, a total of 11 General Surgical Department nurses from the First Affiliated Hospital of Wenzhou Medical University from July to November 2022 were selected as the interview subjects for semi-structured interviews to understand their behavioral intentions regarding postoperative pain management in abdominal surgery. Colaizzi 7-step analysis was used to analyze the original data. Two researchers repeatedly compared, verified, analyzed and summarized the interview data. When different opinions were generated, the group members discussed and decided together to ultimately determine the code and theme.Results:Based on the three dimensions of behavioral attitude, subjective norms and perceived behavioral control in the theoretical framework of planned behavior, three themes and seven sub-themes were extracted, such as behavioral attitude (positive attitude, negative attitude), pressure sources (group pressure, leadership pressure, patient and family pressure), subjective perception and behavior (imprisonment of comfort zone, insufficient support from external resources) .Conclusions:Most nurses hold a positive attitude towards pain management behavior after abdominal surgery, and the behavioral intention of postoperative pain management is affected by colleagues, leaders, patients and their families. At the same time, there are also obstacles such as insufficient personal ability and insufficient support from external resources.

Objective To identify the biomarkers for early rheumatoid arthritis(RA)diagnosis and explore the possible immune regulatory mechanisms.Methods The differentially expressed genesin RA were screened and functionally annotated using the limma,RRA,batch correction,and clusterProfiler.The protein-protein interaction network was retrieved from the STRING database,and Cytoscape 3.8.0 and GeneMANIA were used to select the key genes and predicting their interaction mechanisms.ROC curves was used to validate the accuracy of diagnostic models based on the key genes.The disease-specific immune cells were selected via machine learning,and their correlation with the key genes were analyzed using Corrplot package.Biological functions of the key genes were explored using GSEA method.The expression of STAT1 was investigated in the synovial tissue of rats with collagen-induced arthritis(CIA).Results We identified 9 core key genes in RA(CD3G,CD8A,SYK,LCK,IL2RG,STAT1,CCR5,ITGB2,and ITGAL),which regulate synovial inflammation primarily through cytokines-related pathways.ROC curve analysis showed a high predictive accuracy of the 9 core genes,among which STAT1 had the highest AUC(0.909).Correlation analysis revealed strong correlations of CD3G,ITGAL,LCK,CD8A,and STAT1 with disease-specific immune cells,and STAT1 showed the strongest correlation with M1-type macrophages(R=0.68,P=2.9e-08).The synovial tissues of the ankle joints of CIA rats showed high expressions of STAT1 and p-STAT1 with significant differential expression of STAT1 between the nucleus and the cytoplasm of the synovial fibroblasts.The protein expressions of p-STAT1 and STAT1 in the cell nuclei were significantly reduced after treatment.Conclusion CD3G,CD8A,SYK,LCK,IL2RG,STAT1,CCR5,ITGB2,and ITGAL may serve as biomarkers for early diagnosis of RA.Gene-immune cell pathways such as CD3G/CD8A/LCK-γδ T cells,ITGAL-Tfh cells,and STAT1-M1-type macrophages may be closely related with the development of RA.

Objective:To establish the reference values and growth curves of skeletal muscle mass among children in the Nanjing area.Methods:A cross-sectional study was conducted with children who underwent physical examination at the Department of Child Health Care, Children′s Hospital of Nanjing Medical University from 2020 January to 2022 September. Their height, weight, body fat mass and skeletal muscle mass were measured. Body mass index, percentage of body fat mass, percentage of skeletal muscle mass, relative skeletal muscle mass index and the ratio of skeletal muscle to body fat were calculated. The associations between skeletal muscle mass indices and physical measurements index were analyzed through the Spearman correlation test. The Mann-Kendall test was used to assess the trend for skeletal muscle mass. Generalized additive models for location, scale and shape were used to construct percentile reference values and growth curves of male and female skeletal muscle mass indices at different ages.Results:A total of 32 690 children aged 4-14 years were enrolled in this study, including 19 912 boys (60.91%). Skeletal muscle mass, percentage of skeletal muscle mass, relative skeletal muscle mass index and the ratio of skeletal muscle to body fat of boys and girls was 11.10 (8.40, 14.90) and 10.30 (7.90, 13.20) kg, 40.36% (37.01%, 43.13%) and 39.38% (36.43%, 41.88%), 6.70 (6.07, 7.52) and 6.33 (5.79, 7.00), 2.39 (1.46, 3.47) and 2.14 (1.45, 3.00) kg/m 2, respectively. Skeletal muscle mass of both boys and girls was all positively associated with weight ( r=0.97, 0.96), body mass index ( r=0.68, 0.63) and percentage of body fat mass ( r=0.40, 0.43) (all P<0.01). The reference values and growth curves showed that the percentage of skeletal muscle mass P50 ranged from 37.75%-44.61% in boys and from 36.22%-40.55% in girls. The relative skeletal muscle mass index P50 ranged from 5.80-9.68 kg/m 2 in boys and from 5.57-7.98 kg/m 2 in girls. The ratio of skeletal muscle to body fat P50 ranged from 1.86-2.67 in boys and from 1.29-2.41 in girls. There was an increasing trend with age for both boys and girls in the growth of skeletal muscle mass ( Z=4.20, 3.75, both Ptrend<0.01), and increased slightly before 9 years of age and then increased rapidly until 14 years of age in both boys and girls. Conclusions:The skeletal muscle mass indices change with age and gender during childhood. Percentile reference values for pediatric skeletal muscle mass indices can be used to evaluate the muscular growth and development in children in the Nanjing area.