Background The quality of occupational health technical services is directly linked to the protection of workers' health rights and the efficacy of occupational disease prevention and control. However, the industry still faces critical challenges: sporadic instances of institutional non-compliance and persistent irregularities in professional practice continue to undermine overall service performance. Objective To assess the current quality status of occupational health technical services in Zhejiang Province and propose countermeasures for quality improvement, providing a scientific basis for policy optimization and service delivery quality enhancement. Methods A total of 69 occupational health technical service institutions in Zhejiang Province that obtained formal accreditation as of April 30, 2024, were sampled, including 3 public institutions and 66 private institutions (comprising 3 formerly Class-A, 28 formerly Class-B, 11 formerly Class-C, and 24 newly certified institutions). Following the Technical Protocol for Quality Monitoring of Occupational Health Technical Service in Zhejiang Province and the Technical Protocol for Proficiency Testing of Occupational Health Detection in Zhejiang Province, a quality assessment task force comprising national and provincial experts was established. Evaluation was conducted across four dimensions: qualification maintenance and compliance, standardization of technical services, authenticity of technical services, and proficiency testing, utilizing a combination of document review, on-site inspections, and technical skill assessments. Results The occupational health technical service institutions in Zhejiang Province were predominantly private entities (82.5%), with significant disparities in overall service quality. The pass rates for qualification maintenance and compliance, technical service standardization, technical service authenticity, and the excellence rate for laboratory proficiency testing were 81.5%, 80.7%, 97.3%, and 90.4%, respectively. Regarding qualification maintenance, the pass rates for "environmental conditions" (49.8%, 56.7%) and "instrumentation and equipment" (58.2%、65.6%) were significantly lower for formerly Class-C and newly certified institutions compared to other categories. In terms of technical standardization, "standardized on-site inspections" recorded the lowest pass rate (67.4%), with newly certified institutions at only 48.0%. Regarding technical service authenticity, formerly Class-C institutions exhibited issues such as missing raw chromatograms for blank samples (85.7% pass rate). In laboratory proficiency testing, public and formerly Class-A institutions achieved 100% excellence rates, but the performance of formerly Class-C and newly certified institutions was comparatively weak; specifically, the failure rate for organic analysis in formerly Class-C institutions reached 20%; the failure rate for dust testing items in newly certified institutions was 10.3%. Conclusion The overall quality of occupational health technical services in Zhejiang Province still requires significant improvement, particularly in basic institutional conditions, the standardization of on-site inspections, and laboratory proficiency in organic and dust analysis. Formerly Class-C and newly certified institutions should be the primary focus of quality management efforts. Differentiated regulatory strategies are recommended, alongside strengthening interim and ex-post supervision to gradually enhance the quality of occupational health technical services across all institutions.

ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.

OBJECTIVE To establish a population pharmacokinetic(PopPK)model to predict the PK characteristics of GLS-010 in humans.METHODS Fifty-eight cynomolgus monkeys were used,18 of which were randomly divided into three groups and received a single intravenous infusion of GLS-010 at doses of 2,6,and 18 mg·kg-1,respectively.The rest were randomly assigned to four groups and received multiple intravenous infusions of GLS-010 at doses of 0,5,25,and 100 mg·kg-1,respectively,once a week(quaque week,qw)for five consecutive weeks.Blood samples were collected before and after administration.The concentrations of GLS-010 in the monkey serum were measured using a validated enzyme-linked immunosorbent assay,while those of anti-drug antibodies(ADA)in the cynomolgus monkey serum were determined by ultra-sensitive electrochemiluminescence immunoassay.The PK data on GLS-010 in cynomolgus monkeys was obtained,and the drug-time curves were plotted.A PopPK model was constructed using non-compartmental analysis and evaluated by goodness-of-fit plots and visual predictive checks.The constructed PopPK model was used to predict the PK characteristics in humans,which were finally compared with actual Phase Ⅰ clinical study results for validation.RESULTS The predictive results of the PopPK model were highly consistent with the actual Phase Ⅰ clinical study results.The model was able to predict the human PK characteristics under various dosing regimens,including 1 mg·kg-1 quaque 2 weeks(q2w),4 mg·kg-1(q2w),240 mg(q2w),240 mg(q3w),and 10 mg·kg-1(q2w).The predicted maximum plasma concentrations(Cmax)were 24.8,99.1,85.0,85.0,and 247.8 mg·L-1,respectively,and the AUC0-336h was 4 902.0,20 060.0,17 147.7,22 145.7(AUC0-504h),and 50 817.6 mg·h·L-1,respectively.The safety risks for the corresponding dosing regimens were 47.3,11.6,13.5,10.5,and 4.6,respectively.The predicted receptor occupancy at steady state(ROss)at Cmax,average plasma concentration(Cavg),and minimum plasma concentration(Cmin)were 38.8％,72.7％,69.4％,64.1％and 87.2％,29.1％,63.8％,60.0％,49.8％and 82.1％,21.9％,55.5％,51.3％,36.3％and 76.7％,respectively.CONCLUSION The PopPK model can effectively predict the human PK characteristics under different dosing regimens with high consistency with actual Phase Ⅰ clinical study results,which can serve as an important reference for selection of safe and effective doses for first-in-human research.

Objective:To construct a predictive model for benign and malignant colorectal lesions based on modal ultrasound parameters and clinical indicators,and evaluate the effectiveness of the predictive model.Methods:Clinical data of 198 patients with colorectal lesions treated in Hebei Petro China Central Hospital from March 2020 to March 2024 were recorded.According to pathological diagnosis,they were grouped into a benign lesion group of 102 cases and a malignant lesion group of 96 cases.All patients underwent multimodal ultrasound examination.Multivariate Logistic re-gression analysis was applied to screen the influencing factors of colorectal cancer progression.R software package was applied to build a nomogram prediction model.Hosmer-Lemeshow test,calibration curve,ROC curve,and clinical deci-sion curve were used for validation.Results:There were statistically obvious differences in internal echo,morphology,blood flow signal,rise time(RT),contrast agent of"fast in and fast out",mean Young's modulus(Emean),age,positive fecal occult blood,and polyps between the benign and malignant lesion groups(P＜0.05).Uneven internal echoes,irregu-lar shapes,abundant blood flow signals,contrast agent of"fast in and fast out",age ≥ 60 years,positive fecal occult blood,and polyps ≥ 2 were independent risk factors for colorectal cancer(P＜0.05),while RT is a protective factor for colorectal cancer(P＜0.05).The internal validation results of the nomogram prediction model showed that the Hosmer-Lemeshow test showed x2=3.661 and P=0.886.The calibration curve showed that the actual probability was basically consistent with the predicted probability,and the AUC of the ROC curve was 0.802(95％CI:0.732-0.871),indicating that the calibration and discrimination of the column chart prediction model were good.Within the high-risk threshold range of 0.28-0.98,the decision curve was above the All line and None line,indicating a high net benefit and clinical practicality.Conclusion:Internal echo,morphology,blood flow signal,contrast agent of"fast in and fast out",age,positive fecal occult blood,polyps,and RT are influencing factors for the occurrence of colorectal cancer.The column chart prediction model constructed based on this has good predictive performance and provides reference for early inter-vention by clinical physicians.

Objectives:The ORION-18 study has demonstrated that inclisiran can significantly reduce low-density lipoprotein cholesterol(LDL-C)and has good safety in Asian atherosclerotic cardiovascular disease(ASCVD)patients or ASCVD high-risk population.This subgroup analysis aims to further evaluate the efficacy and safety of inclisiran in Chinese mainland population.Methods:ORION-18 study is a multi-center,randomized,double-blind,placebo-controlled,phase Ⅲ clinical trial among Asian subjects,Chinese mainland subgroup included 232 ASCVD patients or ASCVD high-risk subjects who had already been treated with diet control and maximum tolerated doses of statins treatment(with or without other lipid-lowering treatments)but still had elevated LDL-C levels.Subjects were randomized in a 1:1 ratio to the inclisiran group and the placebo group(n=116 each),and received 300 mg of inclisiran or placebo respectively on day 0,90 and 270.The primary endpoint was the percentage change in LDL-C from baseline to day 330.The secondary endpoints included the time-adjusted percentage change and absolute change in LDL-C from baseline after day 90 and up to day 360,the absolute change in LDL-C from baseline to day 330,and the percentage changes from baseline to day 330 in proprotein convertase subtilisin/kexin type 9(PCSK9),total cholesterol,apolipoprotein B(ApoB),non-high-density lipoprotein cholesterol(non-HDL-C).Other secondary endpoints included the proportion of participants reaching LDL-C levels of<1.8 mmol/L at day 330,the proportion of participants with≥50%LDL-C reduction from baseline to day 330 and the proportion of participants who attained global lipid targets(the LDL-C target was<1.4 mmol/L for ASCVD patients and<1.8 mmol/L for ASCVD high-risk subjects)at day 330.Safety endpoints included adverse events during treatment,aboratory test abnormalities during treatment,serious adverse events,and assessed their severity and relation to treatment.Results:The inclisiran group showed a placebo-corrected percentage change in LDL-C from baseline to day 330 of-61.16%,and an absolute change of-1.73 mmol/L(both P<0.0001).Compared to the placebo group,the inclisiran group's time-adjusted percentage change in LDL-C from baseline between day 90 and day 360 was-58.51%,and an absolute change of was-1.64 mmol/L(both P<0.0001).At day 330,reductions from baseline were observed in the inclisiran group for PCSK9,total cholesterol,ApoB,non-HDL-C,with placebo-corrected percentage changes of-77.44%,-35.65%,-43.43%,-50.90%(all P<0.0001),respectively.At day 330,79.6%(74/93)of patients in the inclisiran group and 7.8%(6/77)in the placebo group achieved LDL-C levels<1.8 mmol/L,69.9%(65/93)of patients in the inclisiran group and 0%(0/77)in the placebo group achieved≥50%LDL-C reduction from baseline,66.7%(62/93)of patients in the inclisiran group and 2.6%(2/77)in the placebo group achieved their global LDL-C targets.The safety profile of inclisiran treatment over 12 months was comparable to that of the placebo,with no occurrence of treatment-related serious adverse events.Conclusions:In ASCVD patients or ASCVD high-risk subjects in Chinese mainland who have received diet control and maximum tolerable dose statins treatment(with or without other lipid-lowering treatments)and still have elevated LDL-C,inclisiran has a definite efficacy and good safety in reducing LDL-C.The efficacy and safety results of inclisiran assessed in Chinese mainland population are consistent with those of the general Asia population.

Purpose To construct a comprehensive model of deep learning features and clinical features based on renal ultrasound for early identification of renal impairment in the pregnant women with preeclampsia.Materials and Methods The information of 279 pregnant women in the First Affiliated Hospital of Guangxi Medical University from January 2018 to June 2023 were retrospectively collected,and all pregnant women were divided the into preeclampsia group(151 cases)and normal group(128 cases).The dataset was randomly divided into a training set(195 samples)and a testing set(84 samples)at a ratio of 7∶3.Based on ultrasound images,the deep learning convolutional neural networks Resnet152 was used to extract deep learning features.The non-zero coefficient features were selected from the deep learning features by the least absolute shrinkage and selection operator,and the K-nearest neighbor algorithm was used to establish the deep learning model.Then,the same classifier model was used to construct a comprehensive model based on clinical data.The receiver operating characteristic curve was used to evaluate the prediction effect.To address the interpretability visualization of models using gradient_weighted class activation mapping and SHapley Additive exPlanations(SHAP)values.Results The area under the curve of the composite model was 0.964(95%CI 0.940-0.988)in the training cohort and 0.899(95%CI 0.835-0.963)in the test cohort.SHAP analysis showed that deep learning features contributed the highest value in the prediction model.Conclusion The comprehensive model based on deep learning combined with clinical features of renal ultrasound can be used to identify renal impairment in normal pregnancy and preeclampsia pregnant women at an early stage,which is conducive to early clinical intervention.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

The sirtuin protein family represents a highly conserved group of NAD+-dependent protein deacetylases,comprising seven isoforms in mammals,each with distinct subcellular localizations and biological functions.They play important roles in regulating metabolic reprogramming,cell death,and the development of tumor phenotypes.Consequently,modulating deacetylase activity is regarded as a promising therapeutic option in pathology.This article focuses on elucidating the roles and molecular mechanisms of sirtuins in tumor evolution,as well as the application of sirtuin activators and inhibitors in oncology,to guide targeted therapy and drug development for related malignancies.

Senile osteoporosis is a growing public health challenge with significant impacts on the daily life of the elderly population as a result of its hidden nature,high prevalence,and high risk of disability.Suitable animal models that simulate senile osteoporosis are crucial for understanding its pathological mechanism and to facilitate the development of anti-osteoporosis drugs and identify new therapeutic targets.This review considers the most commonly used method for creating animal models of senile osteoporosis,analyzes their advantages and limitations,and discusses research progress in animal models in terms of evaluation indicators,to provide references for research using animal models of senile osteoporosis.

Objective To explore the distribution of traditional Chinese medicine(TCM)syndrome types of post-infection cough and their relationship with the level of airway immune characteristics and small airway function.Methods A retrospective study was conducted on 216 patients with post infection cough admitted to our hospital from January 2023 to June 2024.Syndrome information was collected and cluster analysis was performed to analyze the correlation between TCM syndrome types and airway immune characteristic indicators.According to the degree of small airway dysfunction,the patients were divided into mild group(n=74),moderate group(n=84)and severe group(n=53).The correlation between airway immune characteristic indicators and small airway function indicators was analyzed,and the relationship between small airway dysfunction degree and TCM syndrome was also correspondingly analyzed.Results In terms of TCM,cough after infection could be divided into five types:wind-heat stagnation of the lung syndrome,wind-cold invasion of the lung syndrome,phlegm-dampness accumulation in lung syndrome,liver fire invading the lung syndrome,and qi-yin deficiency syndrome.Patients with qi-yin deficiency syndrome had specific airway immune characteristics,with an increase in the proportion of neutrophils,eosinophils and lymphocytes,a decrease in the proportion of macrophages(P＜0.05),an increase in the levels of inflammatory factors IL-17 and TNF-α,and a decrease in the levels of IL-10 and TGF-β.The wind-cold attacking lung syndrome and qi-yin deficiency syndrome were positively correlated with the proportion of neutrophils,eosinophils and lymphocytes,while negatively correlated with the proportion of macrophages(P＜0.05).Qi-yin deficiency syndrome was positively correlated with IL-17 and TNF-α levels,while negatively correlated with IL-10 and TGF-β levels(P＜0.05).As the degree of small airway dysfunction worsened,the proportion of neutrophils,eosinophils and lymphocytes increased(P＜0.05),the proportion of macrophages decreased(P＜0.05),the levels of inflammatory factors IL-17 and TNF-αincreased,and the levels of IL-10 and TGF-β decreased(P＜0.05).The indicators of small airway function(FVC％pred,FEV1％pred,FEV1/FVC,PEF％pred,FEF25％pred,FEF50％pred,FEF75％pred,FEF25-75％pred)were negatively correlated with the proportion of neutrophils,eosinophils and lymphocytes,the levels of inflammatory factors IL-17 and TNF-α(P＜0.05),while positively correlated with the proportion of macrophages,the levels of IL-10 and TGF-β(P＜0.05).Conclusion This study not only reveals the correlation of different TCM syndromes of cough after infection with airway immune characteristics and small airway function,but also clarifies the immunological characteristics of qi-yin deficiency syndrome as a key syndrome type,and confirms that the immune imbalance pattern of high neutrophil proportion and low macrophage level in this syndrome type is specifically associated with severe small airway dysfunction.