Objective:To investigate the incidence of PTPN11 gene mutation and its associated gene mutations in adult patients with acute myeloid leukemia(AML),and analyze its clinical characteristics.Methods:Second-generation sequencing and Sanger sequencing were used to detect 51 gene mutations,and multiplex-PCR was used to detect 41 fusion genes from 451 newly diagnosed adult AML patients admitted to Affiliated Hospital of Jiangnan University,Changzhou Second People's Hospital,Wuxi People's Hospital and Wuxi Second People's Hospital from January 2017 to July 2022.Results:Among 451 primary adult AML patients,the PTPN11 gene mutation was detected in 34 cases,and the mutation rate was 7.5％.In the 34 patients,37 PTPN11 alterations were found,which were exclusively missense mutations affecting residues located within the N-SH2(31 cases)and PTP(6 cases)domains and clustered overwhelmingly in exon 3.The platelet count of PTPN11 mutation patients was 76.5(23.5,119.0)× 109/L,which was significantly higher than 41.0(22.0,82.5)×109/L of wild-type patients(P＜0.05).While,there were no significant differences in sex,age,peripheral white blood cell count,hemoglobin,and bone marrow blast between PTPN11 mutation and wild-type patients(P＞0.05).In FAB subtypes,PTPN11 mutations were mainly distributed in M5,followed by M2 and M4,less frequently in M3 and M6.There was no significant difference in the distribution of FAB subtypes between PTPN11 mutation and wild-type patients(P＞0.05).A total of 118 AML patients were detected positive fusion gene,among which patients with PTPN11 mutations had a higher incidence of positive MLL-AF6 than wild-type ones(P＜0.01).97.1％of 34 patients with PTPN11 mutations were accompanied by other mutations,in descending order,they were respectively NPM1(38.2％),NRAS(32.4％),FLT3-ITD(32.4％),DNMT3A(32.4％)and KRAS(23.5％),etc.Conclusion:PTPN11 mutation has a certain incidence in AML patients and is clustered overwhelmingly in exon 3.ALL of them are exclusively missense mutations,and most often present in conjunction with NPM1 mutations.FAB typing of PTPN11 mutation is mostly manifested as M5 subtype,which is associated with higher platelet counts.

Objective:To establish a model to predict the overall survival(OS)rate of patients with diffuse large B-cell lymphoma(DLBCL)based on systemic inflammatory indicators,and study whether the new model combined with inflammatory related parameters is more effective than the conventional model using only clinical factors to predict the OS of patients with DLBCL.Methods:The clinical data of 213 patients with DLBCL were analyzed retrospectively.Backward stepwise Cox regression analysis was used to screen independent prognostic factors related to OS,and a nomogram for predicting OS was constructed based on these factors.Akaike information criterion(AIC)and Bayesian information criterion(BIC)were used to evaluate the fitting of the model,the consistency index(C-index),area under receiver operating characteristic(ROC)curve(AUC)and calibration curve were used to evaluate the prediction accuracy of nomogram,and decision curve analysis(DCA)and Kaplan Meier curve were used to evaluate the clinical practicability of nomogram.Results:Multivariate analysis confirmed that age,ECOG PS score,serum lactate dehydrogenase(LDH)level,systemic immune inflammatory index(SII),and prognostic nutritional index(PNI)were used to construct the nomogram.The AIC and BIC of the nomogram were lower than the International Prognostic Index(IPI)and the National Comprehensive Cancer Network(NCCN)-IPI,indicating that the nomogram had better goodness of fit.The C-index and AUC of the nomogram were higher than IPI and NCCN-IPI,indicating that the prediction accuracy of the nomogram had been significantly improved,and the calibration curve showed that the prediction results were in good agreement with the actual survival results.DCA showed that the nomogram had better clinical net income.Kaplan Meier curve showed that patients could be well divided into low-risk,medium-risk and high-risk groups according to the nomogram score(P＜0.001).Conclusion:The nomogram combined with inflammatory indicators can accurately predict the individual survival probability of DLBCL patients.

Objective To design a novel oxygenator to solve the existing problems of extracorporeal membrane oxygenation(ECMO)machine in high transmembrane pressure difference,low efficiency of blood oxygen exchange and susceptibility to thrombosis.Methods The main body of the oxygenator vascular access flow field was gifted with a flat cylindrical shape.The topology of the vascular access was modeled in three dimensions,and the whole flow field was cut into a blood inlet section,an inlet buffer,a heat exchange zone,a blood oxygen exchange zone,an outlet buffer and a blood outlet section.The oxygenator was compared with Quadrox oxygenator by means of ANSYS FLUENT-based simulation and prototype experiments.Results Simulation calculations showed the oxygenator designed was comparable to the clinically used ones in general,and gained advantages in transmembrane pressure difference,blood oxygen exchange and flow uniformity.Experimental results indicated that the oxygenator behaved better than Quadrox oxygenator in transmembrane pressure difference and blood oxygen exchange.Conclusion The oxygenator has advantages in transmem-brane pressure difference,temperature change,blood oxygen ex-change and low probability of thrombosis.[Chinese Medical Equipment Journal,2024,45(3):23-28]

Objective To propose a sperm classification model based on convolutional neural network to enhance the accuracy of sperm morphological classification.Methods A FT-EfficientNet model was constructed using EfficientNetB0 as the base model,which was fine-tuned by data preprocessing enhancement,transfer learning and cosine decay.Classification experi-ments were performed on the sperm public datasets SCIAN-Morpho and HuSHeM,and the datasets were segmented and vali-dated using 5-fold cross-validation.The classification results by the FT-EfficientNet model were compared with those by the cascade ensemble of support vector machines(CE-SVM)model,the adaptive patch-based dictionary learning(APDL)model,fine tuning of visual geometry group(FT-VGG)model,morphological classification of human sperm heads(MH-HSH)model and transfer learning(TL)model.Ablation experiments were performed in the SCIAN-Morpho dataset to verify the effect of different fine-tuning methods on the model.Results The FT-EfficientNet model proposed had the accuracy,precision and F1 score on the SCIAN-Morpho validation set being 64.1％,63.8％and 64.8％,respectively,which were better than CE-SVM,APDL,FT-VGG and MC-HSH models.The recall rate of the model proposed(65.2％)was slightly lower than that of MC-HSH model(68.0％).The accuracy,precision,F1 score and recall rate on the HuSHeM validation set was 95.4％,95.8％,95.4％and 96.0％,respectively,which were slightly lower than those of TL model while better than those of CE-SVM,APDL,FT-VGG and MC-HSH models.Ablation experiments showed the FT-EfficientNet model behaved the best in fine-tuning.Conclusion The sperm classification model based on convolutional neural network facilitates sperm morphology classification with high accuracy and performance.[Chinese Medical Equipment Journal,2024,45(10):7-13]

Objective To explore the expression of serum miR-410-3p in patients with rheumatoid arthritis(RA)and its relationship with knee soft tissue lesions.Methods A total of 89 RA patients admitted to our hospital were selected and divided into the active group(42 cases)and the remission group(47 cases)according to disease activity score in 28 joints(DAS28).In addition,52 healthy volunteers underwent physical examination during the same period in our hospital were selected as the healthy group.The expression level of serum miR-410-3p was detected by RT-PCR,the lesions of knee soft tissue was examined by ultrasound,and the relationship between the expression of serum miR-410-3p and knee soft tissue lesions was analyzed by Pearson.Results The expression levels of serum miR-410-3p of patients in the active group and the remission group were lower than that in the healthy group(P<0.05),and the expression level of serum miR-410-3p of patients in the active group was lower than that in the remission group(P<0.05).The cartilage thicknesses of medial and lateral ankle of patients in the active group and the remission group were smaller than those in the healthy group(P<0.05),and the above indexes in the active group were smaller than those in the remission group(P<0.05).The depths of suprapatellar bursa fluid and synovial thicknesses of patients in the active group and the remission group were greater than those in the healthy group(P<0.05),and the depth of suprapatellar bursa fluid and synovial thickness of patients in the active group were greater than those in the remission group(P<0.05).The level of serum miR-410-3p in RA patients was positively correlated with the depth of suprapatellar bursa fluid and synovial thickness(P<0.05),and negatively correlated with the cartilage thicknesses of medial and lateral ankle(P<0.05).Conclusion Serum miR-410-3p expression level in RA patients is decreased,which was closely related to knee soft tissue lesions,detecting the changes of serum miR-410-3p level may provide a reference for the evaluation of knee soft tissue lesions.

【Objective】 To understand the prevalence of overweight/obesity among school-age children in Pudong New Area of Shanghai, and to explore the influence of gestational weight gain and pre-pregnancy body mass index (BMI) on weight status of school-age children. 【Methods】 From November to December 2020,a stratified cluster sampling method was adopted to select first-grade students from 13 primary schools in Pudong New Area of Shanghai.After matching with the birth monitoring database, 755 students with complete birth information were selected as the study subjects.The relevant information of mothers before and during pregnancy was retrospectively collected, and the effects of pregnancy weight gain combined with pre-pregnancy BMI on overweight/obesity in school-age children were analyzed. 【Results】 1) The prevalence rates of overweight and obesity of first-grade children were 15.89% and 18.41%, respectively.2) Maternal excessive weight gain during pregnancy (OR=1.678) and overweight/obesity before pregnancy (OR=2.315,2.412) were risk factors for overweight/obesity of the offspring at school age(P<0.05).3) For mothers who were underweight before pregnancy, excessive weight gain during pregnancy was associated with overweight/obesity in school-age children in their offspring (OR=7.436, 95%CI: 1.489 - 37.143,P<0.05).4) Excessive weight gain during pregnancy combined with overweight/obesity before pregnancy significantly increased the risk of overweight/obesity in offspring (OR=3.606, 95%CI: 2.030 - 6.405, P<0.05). Mothers who gained a moderate amount of weight during pregnancy and were emaciated before pregnancy had a significantly lower risk of overweight/obesity in their school-age children (OR=0.217, 95%CI: 0.049 - 0.967, P<0.05). 【Conclusion】 Excessive weight gain during pregnancy increases the risk of overweight/obesity in school-age children in their offspring, strengthening pregnancy health education and perinatal care to help pregnant women maintain appropriate weight gain during pregnancy may be an important and novel strategy to prevent childhood obesity.

Rapid epidemiological screening for tuberculosis (TB) usually uses tuberculin pure protein derivative (PPD) skin test, which has limitations such as low specificity and high side effects. ESAT-6 and CFP-10 are secreted proteins of Mycobacterium tuberculosis, but the related genes are missing from Bacillus Calmette-Guerin (BCG). In this study, the fusion protein ESAT6-CFP10 (EC) was expressed and purified, and prepared into chitosan nanoparticles (EC-NPs), which were loaded into the microneedle patch and carried out the preliminary test of tuberculosis skin test. The drug loading capacity of MNP-EC-NPs (microneedle patch, MNP) can reach 0.03 μg per needle and 1.92 μg per patch. The shelf life of MNP-EC-NPs can reach 6 months at room temperature, and it can effectively penetrate the epidermis. Volunteer skin test results showed that MNP-EC-NPs can effectively distinguish between BCG vaccinators, and can effectively show positive reaction in the skin of tuberculosis patients without significant side effects. The experiment was approved by the Ethics Committee of Wuhan Pulmonary Hospital [2022 (2)]. In this study, a TB skin test method was established, using ESAT6-CFP10 fusion protein instead of PPD, and using soluble microneedle dosage form, which improved the specificity of TB skin test diagnosis and provided a new technical scheme for TB epidemic screening.

With the increasing proportion of human papilloma virus(HPV)infection in the pathogenic factors of oro-pharyngeal cancer,a series of changes have occurred in the surgical treatment.While the treatment mode has been im-proved,there are still many problems,including the inconsistency between diagnosis and treatment modes,the lack of popularization of reconstruction technology,the imperfect post-treatment rehabilitation system,and the lack of effective preventive measures.Especially in terms of treatment mode for early oropharyngeal cancer,there is no unified conclu-sion whether it is surgery alone or radiotherapy alone,and whether robotic minimally invasive surgery has better func-tional protection than radiotherapy.For advanced oropharyngeal cancer,there is greater controversy over the treatment mode.It is still unclear whether to adopt a non-surgical treatment mode of synchronous chemoradiotherapy or induction chemotherapy combined with synchronous chemoradiotherapy,or a treatment mode of surgery combined with postopera-tive chemoradiotherapy.In order to standardize the surgical treatment of oropharyngeal cancer in China and clarify the indications for surgical treatment of oropharyngeal cancer,this expert consensus,based on the characteristics and treat-ment status of oropharyngeal cancer in China and combined with the international latest theories and practices,forms consensus opinions in multiple aspects of preoperative evaluation,surgical indication determination,primary tumor re-section,neck lymph node dissection,postoperative defect repair,postoperative complication management prognosis and follow-up of oropharyngeal cancer patients.The key points include:① Before the treatment of oropharyngeal cancer,the expression of P16 protein should be detected to clarify HPV status;② Perform enhanced magnetic resonance imaging of the maxillofacial region before surgery to evaluate the invasion of oropharyngeal cancer and guide precise surgical resec-tion of oropharyngeal cancer.Evaluating mouth opening and airway status is crucial for surgical approach decisions and postoperative risk prediction;③ For oropharyngeal cancer patients who have to undergo major surgery and cannot eat for one to two months,it is recommended to undergo percutaneous endoscopic gastrostomy before surgery to effectively improve their nutritional intake during treatment;④ Early-stage oropharyngeal cancer patients may opt for either sur-gery alone or radiation therapy alone.For intermediate and advanced stages,HPV-related oropharyngeal cancer general-ly prioritizes radiation therapy,with concurrent chemotherapy considered based on tumor staging.Surgical treatment is recommended as the first choice for HPV unrelated oropharyngeal squamous cell carcinoma(including primary and re-current)and recurrent HPV related oropharyngeal squamous cell carcinoma after radiotherapy and chemotherapy;⑤ For primary exogenous T1-2 oropharyngeal cancer,direct surgery through the oral approach or da Vinci robotic sur-gery is preferred.For T3-4 patients with advanced oropharyngeal cancer,it is recommended to use temporary mandibu-lectomy approach and lateral pharyngotomy approach for surgery as appropriate;⑥ For cT1-2N0 oropharyngeal cancer patients with tumor invasion depth＞3 mm and cT3-4N0 HPV unrelated oropharyngeal cancer patients,selective neck dissection of levels ⅠB to Ⅳ is recommended.For cN+HPV unrelated oropharyngeal cancer patients,therapeutic neck dissection in regions Ⅰ-Ⅴ is advised;⑦ If PET-CT scan at 12 or more weeks after completion of radiation shows intense FDG uptake in any node,or imaging suggests continuous enlargement of lymph nodes,the patient should undergo neck dissection;⑧ For patients with suspected extracapsular invasion preoperatively,lymph node dissection should include removal of surrounding muscle and adipose connective tissue;⑨ The reconstruction of oropharyngeal cancer defects should follow the principle of reconstruction steps,with priority given to adjacent flaps,followed by distal pedicled flaps,and finally free flaps.The anterolateral thigh flap with abundant tissue can be used as the preferred flap for large-scale postoperative defects.

Objective·To explore the predictive capability of retinal vascular features in preeclampsia(PE)based on artificial intelligence(AI)models.Methods·This retrospective study enrolled 789 pregnant women who registered from June 2020 to January 2021 at Shanghai First Maternity and Infant Hospital of Tongji University in the first 16 weeks of gestation.These women underwent regular prenatal examinations,had retinal fundus images captured,and delivered singleton live births at the hospital.According to whether they developed hypertensive disorders of pregnancy(HDP),they were divided into unaffected group(n=685)and HDP group(n=104).Within the HDP group,pregnancies were further categorized into gestational hypertension(GH)group(n=36)and PE group(n=68)based on the occurrence of PE.Based on the gestational age at onset,the PE group was further divided into early-onset PE group(gestational age<34 weeks)and late-onset PE group(gestational age≥34 weeks).Fundus images of the pregnant women were obtained,and an AI algorithm was utilized to diagnose retinal lesions and quantify retinal vascular features.Comparative analyses were conducted on fundus features and retinal vascular features.Univariate Logistic regression model was employed to analyze the influencing factors of PE occurrence,and multivariate Logistic regression model was further utilized to assess the correlation between retinal vascular features and the occurrence of PE.The predictive capability of retinal vascular features for PE(both early-and late-onset PE)was analyzed by using area under the curve(AUC)of receiver operator characteristic curve(ROC curve).Results·The comparative analysis of fundus features and retinal vascular features demonstrated statistically significant differences between the unaffected group and PE group in terms of central retinal artery equivalent(CRAE),central retinal vein equivalent(CRVE),arteriole-to-venular ratio(AVR),retinal artery tortuosity and retinal artery fractal dimension(all P<0.05).Univariate Logistic regression analysis indicated that second-trimester mean arterial pressure(MAP),second-trimester estimated fetal weight(EFW),CRAE,CRVE,AVR,retinal artery tortuosity and retinal artery fractal dimension were the influencing factors for PE occurrence(all P<0.05).Multivariate Logistic regression analysis revealed that second-trimester EFW,CRAE,CRVE,AVR,retinal artery tortuosity and retinal artery fractal dimension were the protective factors for the occurrence of PE,while second-trimester MAP was the risk factor for PE(all P<0.05).The analysis of ROC curves revealed that maternal risk factors along with second-trimester prenatal examination data(including MAP and EFW)and retinal vascular features model had good predictive ability for PE[AUC(95%CI)=0.784(0.725-0.843),and this model exhibited better predictive capability for early-onset PE,with an AUC(95%CI)of 0.840(0.756-0.924).Conclusion·The integration of quantified retinal vascular features based on AI models with maternal risk factors and second-trimester prenatal examination data(including MAP and EFW)enables a more effective prediction of PE occurrence,particularly early-onset PE.

Microplastics(MPs)are emerging contaminants in aquatic environments characterized by their polar structure,small particle size(Typically less than 5 mm),large surface area,good stability,and resistance to biodegradation.They pose adverse effects on the normal physiological activities of aquatic organisms and can accumulate in biota,including humans.Therefore,there is an urgent need for rapid and accurate quantitative analysis of MPs in water environments.In this study,Raman spectroscopy combined with partial least squares(PLS)was employed for rapid and accurate quantitative analysis of polyethylene(PE)and polystyrene(PS)MPs in real water samples.Initially,33 simulated water samples containing different concentrations of MPs were prepared,and their Raman spectra were collected.Six spectral preprocessing methods(Normalization,multiplicative scatter correction,standard normal variate transformation,first derivative,second derivative,and wavelet transform)were investigated for their impact on the predictive performance of PLS calibration models.Subsequently,three variable selection methods including synergy interval partial least squares(SiPLS),variable importance in projection(VIP)and mutual information(MI)were employed to optimize the input variables of the PLS calibration model.The predictive capability of the PLS calibration model was evaluated and validated using leave-one-out cross-validation.Under the optimal conditions of spectral preprocessing,variable selection,input variables and latent variables,the wavelet transform-partial least squares(WT-PLS)calibration model based on distilled water was established,and the contents of PE and PS in real water samples were predicted with prediction correlation coefficients(R2p)of 0.9540 and 0.8472 for PE and PS,respectively,and prediction errors(Errorp)of 0.0690 and 0.1126,respectively.Furthermore,a mixed sample MI-PLS calibration model was developed,demonstrating the best predictive performance in real water samples(With R2p values of 0.9776 and 0.9755 for PE and PS,respectively,and Errorp values of 0.0360 and 0.0392,respectively).This method provided a novel approach and new methodology for quantitative analysis of MPs and other organic pollutants in real water samples.