Objective To assess the risk of hearing loss caused by occupational noise exposure in workers in an automobile manufacturing plant in Tianjin, China, and to perform risk management. Methods Occupational health field investigation and noise exposure measurements were conducted from July to December 2023, and physical examination data were collected. ISO 1999:2013(E) Acoustics-Estimation of Noise-Induced Hearing Loss and WS/T 754-2016 ^“Guidelines for Risk Management of Occupational Disease Hazards Caused by Noise^” were used to predict the risk of high-frequency hearing loss and occupational noise induced deafness for operational workers and make a risk classification. Results The noise intensity of each workshop was 79.4 to 95.5 dB(A), and the maximum noise intensity of welding and stamping exceeded the standard. The results of the assessment showed that the noise level remained unchanged, and the risk of HFHL and ONID in workers increased as the predicted age and length of service increased. It was predicted that after the age of 40, the maximum risk of hearing loss in welding workers would be high risk, and the risk of stamping workers would be at higher risk, suggesting that welding and stamping were the key control posts of noise hazards in the enterprise. The N50 prediction values of permanent hearing threshold displacement caused by potential noise at all frequencies for final assembly and painting workers were lower than the measured values. Conclusion The consequences of hearing loss for workers in the welding and stamping shop noise operations at this automobile manufacturing plant are relatively serious and require risk management.

Objective To establish a scientific, comprehensive, and operable community resilience evaluation index system for emergent major infectious diseases. Methods Based on the social ecosystem theory, a preliminary evaluation index system was formed by using content analysis and boundary analysis. The index system was then supplemented and revised through panel discussions. The final index system and index weights were clarified by two rounds of Delphi method. Results The expert positive coefficient, expert authority coefficient, and expert coordination coefficient of the two rounds of expert consultations were examined. According to the screening principle of the ^“threshold method^”, the indicators were screened, and the weights of each indicator were determined in the second round of Delphi expert consultation. The analysis of the reliability of the indicator system showed Cronbach's α= 0.399 , indicating that the indicator system had a relatively high reliability. Factor analysis was carried out on 7 primary indicators, and the measure of sampling adequacy (MSA) values were all greater than 0.5, which passed the validity test. Conclusion A set of evaluation index system that can accurately reflect the resilience level of communities with emergent major infectious diseases has been constructed, including 7 primary indicators, 21 secondary indicators, 54 tertiary indicators, and 108 tertiary indicators, which has realized the quantitative evaluation of the hidden resilience level of communities.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Threatened abortion is a common disease of obstetrics and gynecology and one of the diseases responding specifically to traditional Chinese medicine （TCM）. The China Association of Chinese Medicine organized experts in TCM obstetrics and gynecology， Western medicine obstetrics and gynecology， and pharmacology to deeply discuss the advantages of TCM and integrated Chinese and Western medicine treatment as well as the medication plans for threatened abortion. After discussion， the experts concluded that chromosome， endocrine， and immune abnormalities were the key factors for the occurrence of threatened abortion， and the Qi and blood disorders in thoroughfare and conception vessels were the core pathogenesis. In the treatment of threatened abortion， TCM has advantages in preventing miscarriages， alleviating clinical symptoms and TCM syndromes， relieving anxiety， regulating reproductive endocrine and immune abnormalities， personalized and diversified treatment， enhancing efficiency and reducing toxicity， and preventing the disease before occurrence. The difficulty in diagnosis and treatment of threatened abortion with traditional Chinese and Western medicine lies in identifying the predictors of abortion caused by maternal factors and the treatment of thrombophilia. Recurrent abortion is the breakthrough point of treatment with integrated traditional Chinese and Western medicine. It is urgent to carry out high-quality evidence-based medicine research in the future to improve the modern diagnosis and treatment of threatened abortion with TCM.

ObjectiveTo explore the establishment and evaluation methods of the rat model of acute myocardial infarction （AMI） in coronary heart disease with the syndrome of Qi and Yin deficiency by sleep deprivation （SD） combined with isoproterenol （ISO） and preliminarily explore its biological basis. MethodForty SD rats were assigned into normal （no treatment）， SD （treatment in modified multi-platform water environment for 96 h）， ISO （subcutaneous injection of ISO at 100 mg·kg^-1 once every other day for a total of 2 times）， and SD+ISO （injection of 100 mg·kg^-1 ISO after SD for 72 h and 96 h） groups. The cardiac function was detected by small animal echocardiography. The serum levels of creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， and cardiac troponin T （cTnT） were measured by biochemical methods. The pathological changes of the myocardial tissue were observed by hematoxylin-eosin staining. The general state， body weight， grip strength， body temperature， behaviors in open field test， serum levels of cyclic adenosine monophosphate （cAMP）， cyclic guanosine monophosphate （cGMP）， cAMP/cGMP ratio， red （R）， green （G）， blue （B） values of the tongue surface， and pulse amplitude were observed and measured to evaluate the modeling results. Enzyme-linked immunosorbent assay was employed to determine the serum levels of interleukin-18 （IL-18）， tumor necrosis factor-α （TNF-α）， superoxide dismutase （SOD）， malondialdehyde （MDA）， corticotropin-releasing factor （CRF）， adrenocorticotropic hormone （ACTH）， triiodothyronine （T3）， tetraiodothyronine （T4）， cluster of differentiation 4 （CD4）， and cluster of differentiation 8 （CD8）. ResultIn terms of disease indicators， the ISO and SD+ISO groups had lower cardiac function indicators than the normal group （P<0.01）. The levels of CK， CM-MB， LDH and cTnT elevated in each model group compared with the normal group （P<0.01）. The pathological changes of myocardial tissue were obvious in the ISO and SD+ISO groups. In terms of syndrome indicators， compared with the normal group， the SD and SD+ISO groups showed decreased body weight at each time point （P<0.01）， and the ISO group showed decreased body weight at the time points of 48 h and 72 h （P<0.05， P<0.01）. The paw temperature and rectal temperature increased in the SD group （P<0.01）. The model groups showed weakened grasp strength， lowered R， G， and B values of the tongue surface （P<0.01）， prolonged immobility time （P<0.01）， reduced total distance and number of entering the central area （P<0.01）， decreased average speed （P<0.05， P<0.01）， and increased cAMP and cGMP （P<0.05， P<0.01）. The cAMP/cGMP ratio was increased in the SD+ISO group （P<0.01）， and the pulse amplitude was decreased in the SD and SD+ISO groups （P<0.01）. In terms of serological indicators，compared with the normal group， the levels of IL-18， TNF-α， SOD and MDA were significantly increased in the ISO and SD+ISO groups （P<0.01）， the CRF， ACTH， CORT， T3， T4， CD4 and CD8 in the model groups were increased （P<0.05， P<0.01）. ConclusionSleep deprivation for 96 h combined with high-dose ISO can successfully establish a rat model of acute myocardial infarction in coronary heart disease with the syndrome of Qi and Yin deficiency. The model evaluation system can be built with disease indicators of western medicine， histopathological indicators， macroscopic indicators of traditional Chinese medicine， and serological indicators.

Objective:To assess the association between the polymorphisms of integral protein α4 ( ITGA4) and intercellular adhesion molecule 1 ( ICAM-1) genesand the risk and clinicopathological characteristics of Crohn′s disease (CD) among Chinese patients. Methods:From January 2010 to January 2021, a total of 215 CD patients and 529 gender- and age-matched healthy controls were enrolled from the Second Affiliated Hospital of Wenzhou Medical University as the study subjects. Genotypes of ITGA4 (rs6740847, rs7562325) and ICAM-1 (rs5498) were determined by matrix-assisted laser desorption ionization-time of flight mass spectrometry. Harvey-Bradshaw Index (HBI) was applied to assess the disease activity of CD, and the patients were further divided into subgroups based on the Montreal Classification Criteria of CD. Unconditional logistic regression was employed to analyze the distribution of ITGA4 (rs6740847, rs7562325) and ICAM-1 (rs5498) polymorphisms between the patients and healthy controls and their association with the clinicopathological characteristics of the patients. Results:The frequencies of T allele and CT+ TT genotypes of ITGA4 (rs7562325) were higher in CD patients than the healthy controls (40.70% vs. 31.57%, P=0.001; 62.79% vs. 54.36%, P=0.042). The G variant and AG+ GG genotypes of ITGA4 (rs6740847) were less common in patients with moderately to severely active CD compared with those with mildly active CD (31.18% vs. 51.72%, P=0.002; 55.91% vs. 75.86%, P=0.042). However, the opposite conclusion was drawn for the G allele (G) and AG+ GG genotypes of ICAM-1 (rs5498) (31.45% vs. 17.24%, P=0.027; 54.30% vs. 31.04%, P=0.020). Compared with patients with terminal ileal or ileocolic CD, G allele and AG+ GG genotypes of ITGA4 (rs6740847) were more prevalent in patients with colonic CD (55.26% vs. 29.38%, P<0.000 1; 84.21% vs. 53.11%, P<0.000 1). The same conclusion could also be drawn for the G allele and AG+ GG genotypes of ICAM-1 (rs5498) (42.11% vs. 26.84%, P=0.008; 73.69% vs. 46.33%, P=0.002). The frequency of homozygous GG genotype of ICAM-1 (rs5498) was lower in patients with stricturing and penetrating CD than those with non-stricturing and non-penetrating CD (0.00% vs. 12.32%, P=0.001). The G allele and AG+ GG genotypes of the ITGA4 (rs6740847) were more common in patients with perianal lesions than those without (40.28% vs. 30.77%, P=0.049; 72.22% vs. 51.75%, P=0.004). Conclusion:Variants of the ITGA4 (rs7562325) may be a risk factor for CD, whilst those of the ITGA4 (rs6740847) may be associated with the decline of disease activity and risk for colon involvement and perianal lesions. Variants of the ICAM-1 (rs5498) may increase the risk of disease activity and colonic involvement in CD patients, however, it may be a protective factor for stenosis and penetration. In addition, variants of the ITGA4 (rs6740847) and ICAM-1 (rs5498) may be associated with the early onset of CD.