Occupational health technical service (OHTS) is one of the core contents in the technical support system of occupational disease prevention and control, and efficient management of OHTS institutions is necessary for improving the service ability. At present, OHTS institutions in China face several issues, such as uneven distribution in terms of quantity, function, unclear area coverage and roles and overlapping responsibilities among different types of institutions, and insufficient service capabilities with inconsistent service levels in some institutions. With the implementation of the national reform like the “separating permits from business license” and “delegate power, streamline administration and optimize government services"”policies, the management mode and operational approach of OHTS institutions have been profoundly changed. In light of this, five key recommendations are proposed to improve the management of OHTS institutions and enhance their management effectiveness, ensuring the sustainable development of national OHTS services. Firstly, it is necessary to clarify the relationship between national and provincial administrative levels in managing OHTS institutions to ensure their healthy and orderly development. Secondly, multiple measurements are taken to strengthen OHTS institutional capacity building to address regional disparities in technical capabilities and service quality. Thirdly, both technical capabilities and service quality should be focused on strengthening the supervision and management of OHTS institutions, preventing the decline of key conditions such as staffing, laboratories, equipment, and quality management after obtaining qualifications. Fourthly, “dual randomized- inspections and one open” and “internet+supervision” methods are used as basic tools for managing OHTS institutions operating across multiple provincial regions and enforcing cross-regional law. Fifthly, professional integrity of radiological health service institutions should be restored to effectively apply their technical advantages in their specialized fields.

[Objective] To evaluate the therapeutic effect of autologous platelet-rich plasma (PRP) for chronic endometritis (CE). [Methods] A retrospective analysis was conducted on 36 patients with CE who had failed antibiotic treatment. The clinical outcomes, pregnancy rates, and early miscarriage rates were assessed following PRP treatment. Meanwhile, the CE patients of receiving first/second-line Clinical drug treatment were used as the control experiment group. [Results] Among the 36 patients treated with PRP, the effective rate was 83.33%. The clinical pregnancy rate in the treatment group was higher than that in the control group [17-36(65.38%) vs 14/27(51.85%), P>0.05], and the early miscarriage rate was lower 2/17(11.76%) vs 2/14(14.29%), P>0.05]. [Conclusion] PRP therapy is effective for CE, with no antibiotic resistance or side effects, and can be widely promoted as a treatment option.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

OBJECTIVE To provide a reference for pharmaceutical care in patients with ulcerative colitis （UC） and ankylosing spondylitis （AS） who developed pustular psoriasis induced by infliximab. METHODS Clinical pharmacists participated in the pharmaceutical care process of a patient with UC and AS who developed pustular psoriasis after using infliximab. The clinical pharmacists determined， using Naranjo’s Scale， that the correlation between the patient’s pustular psoriasis and infliximab was “likely”. Regarding the patient’s development of pustular psoriasis after using infliximab， the clinical pharmacists recommended discontinuing infliximab and switching to Upadacitinib extended-release tablets. For the patient’s skin allergic reaction after using upadacitinib， the clinical pharmacists advised continuing the use of upadacitinib and closely monitoring any potential adverse reactions during the treatment period. RESULTS The clinicians adopted the clinical pharmacists’ recommendation. Following the treatment， the patient’s symptoms were significantly alleviated， and the patient was discharged with medication. The follow-up after discharge showed that the treatment was effective and well-tolerated. CONCLUSIONS The clinical pharmacists analyzed the causal relationship between infliximab and pustular psoriasis. Through pharmaceutical care measures such as dynamic monitoring of skin lesions， evaluation of treatment responses， and optimization of drug regimens， they assisted the physicians in formulating an individualized medication plan， ensuring the safety and efficacy of the patient’s medication use.

Objective:To explore the mediating effect of appearance functional internalization between social comparison tendency and body image distress of college students.Methods:From June to September 2023, a cross-sectional survey was conducted among 308 college students with the social comparison tendency scale, the functional internalization questionnaire of college students' appearance and the body image anxiety scale for adolescent students.SPSS 22.0 software was used for common method bias test, descriptive statistics and correlation analysis, Mplus 8.0 was used for structural equation construction, and Bootstrap method was used for intermediary effect analysis.Results:Body image distress (43.86±8.78) was positively correlated with social comparison tendency (35.20±6.04) and appearance functional internalization (38.35±9.68) ( r=0.35, 0.33, both P<0.01).There was also a positive correlation between social comparison tendency and appearance functional internalization ( r=0.51, P<0.01). The effect of social comparison tendency on body image distress was mediated by appearance functional internalization, and the mediating effect value was 0.137, accounted for 35.13%(0.137/0.390) of the total effect. Conclusion:The appearance functional internalization mediates the relationship between social comparison tendency and body image distress.Social comparison tendency can not only directly predict body image distress, but also can predict body image distress, indirectly through appearance functional internalization.

Objective:To explore the effectiveness of the comprehensive healthcare management model for children with bacterial meningitis after discharge.Methods:This study was a retrospective cohort study that included 268 children with bacterial meningitis who were discharged from the infectious medicine ward of Beijing Children′s Hospital from September 2018 to September 2023. The children were managed with a multidisciplinary collaborative comprehensive healthcare management model after discharge. Outpatient data at 1 month and 6, 12 and 24 months after discharge were collected, including (height, weight, body mass index, nutritional feeding status, hearing and vision screening results, Gesell developmental assessment results and intervention guidance services. The follow-up interval or frequency was dynamically adjusted or increased according to the child′s situation. The paired sample t-test and chi square test were applied to compare the differences in Gesell developmental quotient (DQ) and developmental delay rate between the first and last assessments to preliminarily explore the effectiveness of the comprehensive healthcare management model for children with bacterial meningitis after discharge. Results:All the 268 children completed their first assessment one month after discharge, and 37 children were found to have abnormal physical growth, mainly obesity (28 children), and another 9 children were malnutrition. Nutritional intervention and feeding guidance services were provided to all the 37 children, and as of the last follow-up, 20 children′s physical growth evaluations had turned normal. A total of 188 children completed at least 2 developmental assessments, with an interval of (14.2±9.4) months between the first and last assessments (range: 3.1-49.5 months). The DQ values of in the energy region of adaptability, gross motor skills, fine motor skills, language, and personal social skills at the last assessment were significantly higher than those at the first assessment [(91.93±13.28) vs (80.73±15.96) points, (91.69±12.96) vs (78.31±16.58) points, (89.32±16.11) vs (80.68±15.63) points, (90.10±16.65) vs (82.04±18.43) points, (92.01±14.05) vs (77.82±17.42) points]; moreover, the rates of developmental delay in each energy region were significantly lower than those at the initial assessment (9.6% vs 35.1%, 9.6% vs 42.0%, 18.1% vs 33.0%, 13.3% vs 31.9%, 9.6% vs 42.0%) (all P<0.05). Among the 200 children who completed the hearing screening, 18 were found with hearing abnormalities, and 2 were diagnosed with hearing loss in the Otolaryngology Department. Among 217 children who completed vision screening, 23 had abnormalities, and 5 were diagnosed with ophthalmic abnormalities in Ophthalmology Department (2 with strabismus, 2 with refractive errors, and 1 with optic nerve injury). Two children were found to have autism-like behavior during monitoring, and were referred to a developmental behavior clinic to be diagnosed with autism spectrum disorder and were given early diagnosis and intervention guidance. Conclusion:The comprehensive healthcare management model for children with bacterial meningitis after discharge can integrate clinical and healthcare resources, which is beneficial for improving the prognosis and enhancing the quality of life for children with special health status.

A cerebral oximeter based on 3-wavelength spatially resolved spectroscopy and the modified Lambert-Beer law is proposed.A platform for monitoring the regional cerebral oxygen saturation(rSO2)is established,and the system reliability is verified through spectral stability and background noise test.Eighteen volunteers are recruited to participate in the controlled hypoxia test for exploring the trend of rSO2 with the sequence of stepped hypoxia platform and discussing the relationship between rSO2 and arterial blood oxygen saturation.The results show that the established system can effectively monitor rSO2 and meet the measurement requirements.During the controlled hypoxia sequence,as the fraction of inspired oxygen decreases,rSO2 shows a downward trend,and the individual rSO2 has a high correlation with arterial blood oxygen saturation.