Abnormal activation of the Janus kinase/signal transducer and activator of transcription （JAK/STAT） signaling pathway is involved in the pathogenesis of diffuse large B-cell lymphoma （DLBCL）. In recent years， inhibitors targeting JAK2 and STAT3 have emerged as promising therapeutic candidates in DLBCL. This review summarizes the efficacy and safety profiles of JAK2 inhibitors （e.g.， ruxolitinib） and STAT3 inhibitors （direct small-molecule inhibitors， the antisense oligonucleotide， and proteolysis targeting chimeras， etc.） in preclinical models and clinical trials. Accumulating evidence indicates that JAK2 and STAT3 inhibitors exhibit antitumor activity and are generally well tolerated in a subset of DLBCL patients. Meanwhile， the development of novel drug delivery systems has significantly enhanced the stability， bioavailability， and targeting ability of the compounds. Furthermore， JAK2 and STAT3 inhibitors may exhibit synergistic effects when combined with other therapy strategies （such as combinations with B-cell receptor signaling pathway inhibitors， immunomodulators， or other targeted drugs）. However， current clinical applications are still in their early stages. Future research should concentrate on precision treatment strategies based on the genetic subtyping of DLBCL， and further refine the delivery systems for inhibitors as well as combination drug regimens to improve clinical outcomes.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective To establish a county-level trauma treatment model,designed to prioritize efficiency and guided by a multidisciplinary approach for emergency green channels.Methods Adhering to the Consensus of Experts on the Construc-tion and Management of Trauma Centers in Municipal Comprehensive Hospitals(2020),and using the trauma center creation plan from Guangdong Province as a reference,we established a county-level trauma center,leveraging its strengths and unique at-tributes,with the emergency department as its core.Results The application of information technology facilitated the establish-ment of a two-way referral information platform and a three-tiered diagnosis and treatment system for county medical communities,thereby enhancing the efficiency and quality of healthcare.The implementation of the emergency green channel multidisciplinary treatment team model significantly improved the admission rates for complex and critical cases and increased the utilization of new technologies.Conclusion The development of a county-level emergency treatment system,spearheaded by the establishment of a provincial-level trauma center and a multidisciplinary team model for emergency green channels,can expedite trauma patient care,augment diagnostic efficiency and treatment efficacy,and catalyze advancements in medical technology within county hospitals.

Objective To summarize the clinical data of 7 children with activated phosphoinositide 3-kinase delta syndrome(APDS)and enhance understanding of the disease.Methods A retrospective analysis was conducted on clinical data of 7 APDS children admitted to Hunan Provincial People's Hospital from January 2019 to August 2023.Results Among the 7 children(4 males,3 females),the median age of onset was 30 months,and the median age at diagnosis was 101 months.Recurrent respiratory tract infections,hepatosplenomegaly,and multiple lymphadenopathy were observed in all 7 cases.Sepsis was observed in 5 cases,otitis media and multiple caries were observed in 3 cases,and diarrhea and joint pain were observed in 2 cases.Lymphoma and systemic lupus erythematosus were observed in 1 case each.Fiberoptic bronchoscopy was performed in 4 cases,revealing scattered nodular protrusions in the bronchial lumen.The most common respiratory pathogen was Streptococcus pneumoniae(4 cases).Six patients had a p.E1021K missense mutation,and one had a p.434-475del splice site mutation.Conclusions p.E1021K is the most common mutation site in APDS children.Children who present with one or more of the following symptoms:recurrent respiratory tract infections,hepatosplenomegaly,multiple lymphadenopathy,otitis media,and caries,and exhibit scattered nodular protrusions on fiberoptic bronchoscopy,should be vigilant for APDS.[Chinese Journal of Contemporary Pediatrics,2024,26(5):499-505]

Objective To observe the functional recovery situation after prostate cancer radical opera-tion with maximal preservation of the periprostatic structures (MS-RARP).Methods Sixty-seven patients with localized prostatic cancer undergoing MS-RARP in the Second Affiliated Hospital of Army Military Med-ical University from June 2019 to June 2022 were selected as the study subjects.The changes of urinary con-trol function,erection function,quality of life and total prostate specific antigen (t-PSA) were compared at the time between before operation and postoperative 6 weeks,3 months,6 months,12 months.The expanded pros-tate cancer index composite index (EPIC-50) was used to evaluate the urinary control function,the interna-tional index of erectile function (IIEF-5) questionnaire was used to evaluate the erection function of the pa-tients,and EPIC-50 and the american urological associated symptom score rating scale (AUA-SS) were used to evaluate the life satisfaction of the patients.Results The urinary control function recovery rate,erection function recovery rate and life quality satisfaction rate in postoperative 6 weeks,3 months,6 months,12 months were 71.8％,95.5％,97.3％ and 98.1％;31.7％,38.1％,41.3％ and 44.4％;38.9％,83.6％,88.1％ and 97.0％,respectively.The median t-PSA was gradually decreased,which were 0.026(0.010,0.410),0.009 (0.003,0.060),0.006(0.001,0.050)and 0.004(0.001,0.006)ng/mL,respectively.The life quality satisfac-tion rates at various postoperative time points were significantly increased when compared with before opera-tion (P<0.05).t-PSA was significantly decreased compared with before operation (P<0.05).Conclusion RARP could protect the postoperative urinary function and sexual function,and increase the postoperative life quality of the patients.

Objective: To analyze the course of disease and epidemiological parameters of COVID-19 and provide evidence for making prevention and control strategies. Methods: To display the distribution of course of disease of the infectors who had close contacts with COVID-19 cases from January 1 to March 15, 2020 in Guangdong Provincial, the models of Lognormal, Weibull and gamma distribution were applied. A descriptive analysis was conducted on the basic characteristics and epidemiological parameters of course of disease. Results: In total, 515 of 11 580 close contacts were infected, with an attack rate about 4.4%, including 449 confirmed cases and 66 asymptomatic cases. Lognormal distribution was fitting best for latent period, incubation period, pre-symptomatic infection period of confirmed cases and infection period of asymptomatic cases; Gamma distribution was fitting best for infectious period and clinical symptom period of confirmed cases; Weibull distribution was fitting best for latent period of asymptomatic cases. The latent period, incubation period, pre-symptomatic infection period, infectious period and clinical symptoms period of confirmed cases were 4.50 (95%CI:3.86-5.13) days, 5.12 (95%CI:4.63-5.62) days, 0.87 (95%CI:0.67-1.07) days, 11.89 (95%CI:9.81-13.98) days and 22.00 (95%CI:21.24-22.77) days, respectively. The latent period and infectious period of asymptomatic cases were 8.88 (95%CI:6.89-10.86) days and 6.18 (95%CI:1.89-10.47) days, respectively. Conclusion: The estimated course of COVID-19 and related epidemiological parameters are similar to the existing data.
COVID-19 ; Cohort Studies ; Contact Tracing ; Humans ; Incidence ; Prospective Studies

A boy, aged 11 years, was admitted due to intermittent fever for 15 days, cough for 10 days, and "hemoptysis" for 7 days. The boy had fever and cough with left neck pain 15 days ago, and antibiotic treatment was effective. During the course of disease, the boy developed massive "hemoptysis" which caused shock. Fiberoptic bronchoscopy revealed a left pyriform sinus fistula with continuous bleeding. In combination with neck and vascular imaging examination results, the boy was diagnosed with internal jugular vein injury and thrombosis due to congenital pyriform sinus fistula infection and neck abscess. The boy was improved after treatment with temperature-controlled radiofrequency ablation for the closure of pyriform sinus fistula, and no recurrence was observed during the follow-up for one year and six months. No reports of massive hemorrhage and shock due to pyriform sinus fistula infection were found in the searched literature, and this article summarizes the clinical features, diagnosis, and treatment of this boy, so as to provide a reference for the early diagnosis of such disease and the prevention and treatment of its complications.
Abscess/surgery* ; Cough ; Fever/complications* ; Fistula/surgery* ; Hemoptysis/complications* ; Humans ; Male ; Neck ; Shock

Objective: To study the current situation of sleep quality of senior high school students and analyze the influencing factors, so as to provide a reference for targeted sleep quality improvement of high school students. Methods: A total of 4 793 senior high school students of different grades were recruited from four different regions (Shanghai, Qinghai, Macao, Henan) in 2020. The information of demographic, sleep status, mental factors, living habits and other information were collected by questionnaire. Descriptive statistics and Logistic regression were used to analyze sleep quality and its influencing factors of the senior high school students. Results: About 24.2% of senior high school students reported sleep problems and 71.4% slept less than 7 hours at night. Interpersonal sensitivity, depression, anxiety symptoms, learning, family and interpersonal stress had significant effects on sleep problems in senior high school students( χ 2=1 147.98, 1 228.35, 1 032.54, 371.05, 497.61, 475.39, P <0.01). Drinking coffee and tea, drinking alcohol, smoking (including secondhand smoke), long term use of electronic products, late sleep, bedtime diet, poor sleep environment, parents with sleep problems were the risk factors for sleep disorders of senior high school students, regular exercise was the protective factors for sleep disorders of senior high school students, the influence was significant ( χ 2=160.28, 127.73 , 108.02, 113.27, 470.91, 340.95, 72.02, 155.53, 116.30, 76.96, 28.75, 12.89, P <0.05). Conclusion The sleep quality of senior high school students needs to be improved. Schools and parents should pay attention to the mental health and living habits of senior high school students to help them improve their sleep quality and grow up smoothly.