Objective: To investigate the epidemiological characteristics of spinal curvature abnormalities among primary and secondary school students in Henan Province, and to explore their association with classroom environment, so as to provide scientific evidence for targeted prevention and control strategies. Methods: From September to October 2025, 751 schools from 158 counties/districts in Henan Province were chosen by using a stratified random cluster sampling technique. A total of 4 019 classrooms were monitored and physical examinations for 202 293 students were conducted. By matching classroom environment monitoring data with student physical examination information, Chi square test and Chi square test for trend were used for between group comparisons, and a multilevel Logistic regression model was used to analyze the association between classroom environment and spinal curvature abnormalities among primary and secondary school students. Results: The detection rate of spinal curvature abnormalities among primary and secondary school students in Henan Province was 2.48% in 2025. The rate was higher in girls ( 2.65 %) compared to boys (2.32%), higher in urban students (3.23%) compared to rural students (2.01%), and higher in wasted students (3.89%) compared to non wasted students (2.39%); all differences were statistically significant ( χ 2=22.92, 298.34 , 100.84, all P <0.05). Age and school stage were associated with an increasing trend in the detection rate of spinal curvature abnormalities ( χ 2 trend = 1 494.46 , 1 430.79, both P <0.05). After controlling for confounding variables like residence area, sex, and age, multilevel Logistic regression analysis revealed that non compliance with desk-chair fit standards ( OR=1.47, 95%CI = 1.22-1.78), blackboard reflectance ( OR=1.18, 95%CI =1.06-1.33), and blackboard size ( OR =1.37, 95% CI =1.21-1.55) increased the risk of spinal curvature abnormalities among primary and secondary school students (all P <0.01). Conclusions There are population based differences in spinal curvature abnormalities among primary and secondary school students in Henan Province. The occurrence is strongly correlated with elements of the teaching environment. It is necessary to put in place comprehensive preventative and control strategies that focus on pertinent environmental elements.

To explore the clinical value of a multimodal predictive model based on multiparametric magnetic resonance imaging(MRI) radiomics combined with deep learning(DL) features for the preoperative noninvasive assessment of mismatch repair-deficient(MMRd) status in endometrial cancer(EC).

Objective:New HIV infections serve as a crucial indicator for assessing the dynamic changes in the HIV epidemic. This study aims to estimate the number of new HIV infections in Dehong Dai and Jingpo Autonomous Prefecture of Yunnan Province (Dehong), using a back-calculation method that integrates diagnosis delay approaches and Bayesian theory. Additionally, it compares the differences between these two estimation methods.Methods:Data were obtained from the Chinese Information System for Disease Control and Prevention. Based on CD4 + T lymphocytes (CD4) counts depletion model, the first CD4 count prior to antiretroviral therapy of HIV-infected individuals diagnosed in Dehong from 2010 to 2023 was utilized to retroactively determine the infection date of HIV-infected individuals and ascertain the annual number of new HIV infections who had been diagnosed. Subsequently, the diagnosis delay distribution method and Bayesian theory were leveraged to assess the diagnosis probability of newly infected individuals, thereby projecting the number of new HIV infections in the region over the specified period. Results:During 2010-2023, a total of 5 693 individuals aged 15 and above, excluding mother-to-child transmission, were diagnosed with HIV in Dehong. After excluding 364 cases due to missing CD4 count results or abnormal first CD4 counts (≥2 000 cells/μl), 5 329 HIV-infected individuals were included in the final analysis. Through CD4 counts back-calculation from 2010 to 2023, the annual number of new infections diagnosed was 479, 427, 337, 305, 256, 219, 194, 193, 131, 166, 120, 71, 42 and 47. When using the diagnosis delay distribution method and life table analysis, the cumulative diagnosis probability rose from 0.301 within one year to 0.913 within 14 years, leading to a reduction in the number of estimated new infections from 577 in 2010 to 168 in 2023, with a total estimate of 4 412 (95% CI:4 350-4 480). Alternatively, based on Bayesian theory, the diagnosis probability increased from 0.413 within one year to 0.946 within 14 years, leading to a reduction in the number of estimated new infections from 557 in 2010 to 122 in 2023, with a total of 3 814 (95% CI: 3 787-3 837). Conclusions:Both methods yielded consistent results in estimating new HIV infections in Dehong from 2010 to 2023. Given the region's ongoing expansion of HIV testing, the estimates derived from Bayesian theory may more accurately reflect the actual situation. These findings provide a reference basis for formulating and optimizing HIV/AIDS prevention and control strategies in Dehong, facilitating progress toward the goal of eliminating AIDS by 2030 in the region.

Objective To summarize the operation experience of 1 case of ultra-long-distance single-port robotic-assisted laparoscopic renal cyst decortication using a domestic robotic system,and provide references for the development of long-distance telesurgery.Methods The procedure was performed using a domestically produced single-port robotic system.The distance between the main control end and the patient end was 2 400 km.The operation was conducted remotely via a 5G network and a 100 Mbps dedicated line provided by China Telecom.The surgeon controlled the robotic arm remotely.Results The surgery was completed smoothly within a duration of 32 min.The real-time latency was(90±20)ms.Blood loss during the operation was 10 mL,and no drainage tube was placed.The patient recovered smoothly and returned to the ward without any complications.Conclusion It is safe and feasible for the domestically produced single-port robotic system to implement ultra-long-distance telesurgery.This approach facilitates the decentralization of advanced medical resources and helps mitigate disparities in healthcare access.

Objective To explore the potential causal links between micronutrient levels and the risk of immune-mediated inflammatory skin disease(IMID).Methods Leveraging publicly accessible genome-wide association study(GWAS)datasets,fifteen specific micronutrients were identified as exposure variables,while four prevalent IMID:Psoriasis,atopic dermatitis,urticaria,and alopecia areata were designated as study outcomes.Robust instrumental variables were meticulously selected to facilitate the Mendelian randomization analysis.The main assessment used the inverse-variance weighting(IVW)method,complemented by an assortment of Mendelian randomization methodologies,inclusive of MR-Egger,weighted median estimate(WME)and weighted mode(WM).Rigorous sensitivity analyses were conducted to bolster the robustness of the findings.Results Vitamin D exhibited a significant inverse association with the risk of psoriasis(OR=0.996,P=0.001,95％CI:0.994-0.998),corroborated by consistent trends across WME,MR-Egger,and WM methods.Phosphorus demonstrated a positive correlation with urticaria risk(OR=5.634,95％CI:1.792-17.711,P=0.003),with findings in alignment with WME and WM methods.Copper was found to be positively associated with atopic dermatitis risk(ORIVW=1.234,P=0.0007,95％CI:1.092-1.394),and vitamin E levels were significantly related to the risk of urticaria(OR=26.643,P=0.013,95％CI:1.981-358.333).Sensitivity analysis did not show heterogeneity and pleiotropy(P＞0.05).Conclusion The study establishes a causal relationship between vitamin D levels and the risk of psoriasis,suggesting that augmenting vitamin D intake could be a viable dietary intervention for psoriasis prevention.These findings offer novel insights into the preventative and therapeutic strategies for IMID.

Objective:To examine the prevalence of malnutrition and evaluate the impact of nutritional support on clinical outcomes in elderly patients diagnosed with gastric and colorectal cancer.Methods:A retrospective cohort study was conducted, analyzing elderly patients with gastrointestinal tumors who underwent surgical treatment in the general surgery department from January 2019 to June 2020.The Global Leadership Initiative on Malnutrition(GLIM)criteria were utilized to diagnose malnutrition, and the effects of malnutrition and nutritional support on clinical prognosis were investigated.Results:A total of 426 elderly hospitalized patients with gastric and colorectal tumors who underwent surgical treatment were included in this study.This cohort comprised 199 cases of gastric cancer and 227 cases of colorectal cancer, with ages ranging from 65 to 91 years(mean age: 72.05±5.99).According to the GLIM criteria, 43.7%(186/426)of the patients were diagnosed with malnutrition, of which 25.6%(109/426)were moderately malnourished and 18.1%(77/426)were severely malnourished.Among the gastric cancer patients, 73.4%(146/199)were identified as having nutritional risk, with 48.7%(97/199)being malnourished and 22.6%(45/199)experiencing severe malnutrition.In the colorectal cancer group, 63.9%(145/227)were at nutritional risk, 39.2%(89/227)were malnourished, and 14.1%(32/227)had severe malnutrition.Additionally, 60.3%(257/426)of the patients received nutritional support therapy: 25.4%(108/426)received parenteral nutrition(PN), 11.3%(48/426)received enteral nutrition(EN), 23.7%(101/426)received a combination of EN and PN, while 39.7%(169/426)did not receive any nutritional support.Regardless of the presence or degree of malnutrition, patients who received nutritional support had significantly shorter total hospital stays compared to those who did not receive nutritional support, and this difference was statistically significant( t=5.58, 3.69, 2.21, 3.03, all P<0.05). Conclusions:Providing nutritional support to malnourished patients can reduce the length of hospital stay and improve clinical outcomes.

Objective To explore the relationship between the level of Caveolin-1 and high mobility group protein B1(HMGB-1)in cerebrospinal fluid and the severity of sepsis and their predictive value.Methods A total of 102 children with sepsis were selected in a hospital from June 2021 to December 2023.According to neonatal critical case scoring criteria,the children were divided into mild group(n=41)and severe group(n=61).According to the diagnostic criteria of purulent meningitis and the results of cerebrospinal fluid examina-tion,the children were divided into sepsis complicated with purulent meningitis group(n=16)and simple sepsis group(n=86).The clinical data of the children were collected,and the levels of Caveolin-1,HMGB-1 and inflammatory factors[hypersensitive C-reactive protein(hs-CRP),procalcitonin(PCT)and tumor necro-sis factor-α(TNF-α)]in cerebrospinal fluid of the children were detected by enzyme-linked immunosorbent assay.Multivariate Logistic regression analysis was conducted to analyze the factors affecting the severity of sepsis,and the receiver operating characteristic curve was drawn to analyze the diagnostic value of Caveolin-1 and HMGB-1 in the severity of sepsis and the prediction value of purulent meningitis in the children.Results Compared with mild group,cerebrospinal fluid levels of Caveolin-1 and HMGB-1 in severe group were signifi-cantly increased,and the difference was statistically significant(P<0.05).The levels of PCT,hs-CRP and TNF-α in severe group were significantly higher than those in mild group,and the difference was statistically significant(P<0.05).Multivariate Logistic regression analysis showed that PCT,hs-CRP,TNF-α,Caveolin-1 and HMGB-1 levels were all risk factors for the severity of sepsis in children(P<0.05).The combined diag-nosis of Caveolin-1 and HMGB-1 was significantly better than that of Caveolin-1(Z=2.109,P=0.035),HMGB-1(Z=2.099,P=0.036),PCT(Z=2.487,P=0.013),hs-CRP(Z=2.419,P=0.016)and TNF-α(Z=3.441,P=0.001)were diagnosed alone.Compared with simple sepsis group,cerebrospinal fluid Caveo-lin-1 and HMGB-1 levels in sepsis complicated with purulent meningitis group were significantly increased,and the difference was statistically significant(P<0.05).The combined prediction of Caveolin-1 and HMGB-1 was significantly better than that of Caveolin-1(Z=2.621,P=0.009)and HMGB-1(Z=1.997,P=0.046)alone.Conclusion There are significant increases in the levels of Caveolin-1 and HMGB-1 in chil-dren with severe sepsis or sepsis complicated with purulent meningitis.Caveolin-1 and HMGB-1 have a certain clinical value in evaluating the severity of sepsis in children and predicting whether they are complicated with purulent meningitis.

Objective To develop a size exclusion-high-performance liquid chromatography(SEC-HPLC) method for the simultaneous determination of free proteins and residual 4-dimethylaminopyridine(DMAP) in the bulk solution of pneumococcal polysaccharide-protein conjugate, and to verify and preliminarily apply the method.Methods By studying the characteristic ultraviolet absorption peak of DMAP and optimizing the separation method of chromatographic column, the SEC-HPLC method was established to realize the retention and separation of free proteins and DMAP on the same chromatographic column and quantify them. The method was verified for specificity(system suitability), limit of quantification(LOQ), accuracy, precision, linearity and range, and robustness, and was used to detect the free proteins and DMAP residues in the test sample.Results The chromatographic conditions were determined as follows: TSKgel G5000 PWXL analytical column was used as the column(7. 8 mm × 300 mm, 10 ??m), the column temperature was set at 35 ℃, the mobile phase was0. 85% sodium chloride solution, the pH was(6. 2 ± 0. 2), the flow rate was 0. 5 mL/min, and the detection wavelength was280 nm. The resolution of free protein peaks of diphtheria toxoid(DT) or tetanus toxoid(TT) and DMAP peak from adjacent peaks was greater than 1. 5. The LOQs of TT, DT and DMAP were 0. 50, 1. 20, and 0. 02 ??g/mL, respectively. The spiked recovery rates of TT, DT and DMAP were 98. 11%-104. 60%, 95. 43%-103. 26% and 97. 11%-98. 42%, respectively.The relative standard deviations(RSDs) of intermediate precision of TT, DT and DMAP were all less than 5%. The R~2 values of TT and DT were greater than 0. 999 0 in the range of 6-24 ??g/mL, and the R~2 value of DMAP was 1. 000 in the range of2-10 ??g/mL. The RSDs of TT, DT and DMAP content were all less than 3% at the injection temperature of 30, 35 and 40 ℃.The established method was used to determine the content of free proteins and DMAP in the test sample, and rapid and accurate results were obtained.Conclusion The established SEC-HPLC method has good system suitability, accuracy,precision, linear relationship and robustness, which can realize the dual quantification of free proteins and DMAP in the same experiment, and can be used to monitor the impurities in the binding process.

Objective:To examine the prevalence of malnutrition and evaluate the impact of nutritional support on clinical outcomes in elderly patients diagnosed with gastric and colorectal cancer.Methods:A retrospective cohort study was conducted, analyzing elderly patients with gastrointestinal tumors who underwent surgical treatment in the general surgery department from January 2019 to June 2020.The Global Leadership Initiative on Malnutrition(GLIM)criteria were utilized to diagnose malnutrition, and the effects of malnutrition and nutritional support on clinical prognosis were investigated.Results:A total of 426 elderly hospitalized patients with gastric and colorectal tumors who underwent surgical treatment were included in this study.This cohort comprised 199 cases of gastric cancer and 227 cases of colorectal cancer, with ages ranging from 65 to 91 years(mean age: 72.05±5.99).According to the GLIM criteria, 43.7%(186/426)of the patients were diagnosed with malnutrition, of which 25.6%(109/426)were moderately malnourished and 18.1%(77/426)were severely malnourished.Among the gastric cancer patients, 73.4%(146/199)were identified as having nutritional risk, with 48.7%(97/199)being malnourished and 22.6%(45/199)experiencing severe malnutrition.In the colorectal cancer group, 63.9%(145/227)were at nutritional risk, 39.2%(89/227)were malnourished, and 14.1%(32/227)had severe malnutrition.Additionally, 60.3%(257/426)of the patients received nutritional support therapy: 25.4%(108/426)received parenteral nutrition(PN), 11.3%(48/426)received enteral nutrition(EN), 23.7%(101/426)received a combination of EN and PN, while 39.7%(169/426)did not receive any nutritional support.Regardless of the presence or degree of malnutrition, patients who received nutritional support had significantly shorter total hospital stays compared to those who did not receive nutritional support, and this difference was statistically significant( t=5.58, 3.69, 2.21, 3.03, all P<0.05). Conclusions:Providing nutritional support to malnourished patients can reduce the length of hospital stay and improve clinical outcomes.

Objective:New HIV infections serve as a crucial indicator for assessing the dynamic changes in the HIV epidemic. This study aims to estimate the number of new HIV infections in Dehong Dai and Jingpo Autonomous Prefecture of Yunnan Province (Dehong), using a back-calculation method that integrates diagnosis delay approaches and Bayesian theory. Additionally, it compares the differences between these two estimation methods.Methods:Data were obtained from the Chinese Information System for Disease Control and Prevention. Based on CD4 + T lymphocytes (CD4) counts depletion model, the first CD4 count prior to antiretroviral therapy of HIV-infected individuals diagnosed in Dehong from 2010 to 2023 was utilized to retroactively determine the infection date of HIV-infected individuals and ascertain the annual number of new HIV infections who had been diagnosed. Subsequently, the diagnosis delay distribution method and Bayesian theory were leveraged to assess the diagnosis probability of newly infected individuals, thereby projecting the number of new HIV infections in the region over the specified period. Results:During 2010-2023, a total of 5 693 individuals aged 15 and above, excluding mother-to-child transmission, were diagnosed with HIV in Dehong. After excluding 364 cases due to missing CD4 count results or abnormal first CD4 counts (≥2 000 cells/μl), 5 329 HIV-infected individuals were included in the final analysis. Through CD4 counts back-calculation from 2010 to 2023, the annual number of new infections diagnosed was 479, 427, 337, 305, 256, 219, 194, 193, 131, 166, 120, 71, 42 and 47. When using the diagnosis delay distribution method and life table analysis, the cumulative diagnosis probability rose from 0.301 within one year to 0.913 within 14 years, leading to a reduction in the number of estimated new infections from 577 in 2010 to 168 in 2023, with a total estimate of 4 412 (95% CI:4 350-4 480). Alternatively, based on Bayesian theory, the diagnosis probability increased from 0.413 within one year to 0.946 within 14 years, leading to a reduction in the number of estimated new infections from 557 in 2010 to 122 in 2023, with a total of 3 814 (95% CI: 3 787-3 837). Conclusions:Both methods yielded consistent results in estimating new HIV infections in Dehong from 2010 to 2023. Given the region's ongoing expansion of HIV testing, the estimates derived from Bayesian theory may more accurately reflect the actual situation. These findings provide a reference basis for formulating and optimizing HIV/AIDS prevention and control strategies in Dehong, facilitating progress toward the goal of eliminating AIDS by 2030 in the region.