Objective To explore factors associated with early postoperative hormonal remission in patients with prolactinoma and to develop prediction models based on clinical and radiological features. Methods Data from 107 patients with prolactinoma who underwent transsphenoidal surgery at The First People’s Hospital of Huai’an, Nanjing Medical University between January 2020 and December 2024 was collected, included general clinical characteristics, preoperative laboratory indicators, and imaging features. Based on whether early postoperative prolactin (PRL) levels normalized, patients were divided into a remission group (n=76) and a non-remission group (n=31). Univariate logistic regression was used for preliminary evaluation of candidate variables, followed by LASSO regression for feature selection. Multiple machine learning models were constructed, including logistic regression, random forest, support vector machine, K-nearest neighbors, naive Bayes, decision tree, neural network, and gradient boosting decision tree (GBDT). All models were trained and evaluated using ten-fold cross-validation, with comprehensive assessment of model performance based on the area under the ROC curve (AUC), accuracy, sensitivity, specificity, precision, and F1 score. Results The maximum diameter of tumors in the non remission group was larger than that in the remission group (P=0.019), and the incidence of tumor stroke and preoperative PRL levels were significantly higher than those in the remission group (P＜0.001). Univariate analysis showed that sex, maximum tumor diameter, tumor stroke, and preoperative PRL levels were influencing factors for early postoperative hormone response in patients with prolactinoma (P＜0.05). The comparison results of machine learning models show that the neural network model performs the best (AUC=0.921) and has good clinical application value, followed by the GBDT model (AUC=0.893) and the support vector machine model (AUC=0.884). Other models also show certain predictive ability. Conclusions Sex, preoperative PRL levels, maximum tumor diameter, Hounsfield unit value, and tumor stroke are important factors affecting early hormone response after prolactinoma surgery. The machine learning model constructed based on the above variables has good predictive performance, and performs the best and has good clinical application value.

ObjectiveTo analyze the clinical manifestations， diagnostic approaches， treatment strategies， and prognostic outcomes of uterine arteriovenous fistula （UAVF）. MethodsWe retrospectively analyzed 6 patients with confirmed UAVF admitted to the Department of Gynecology， the Eighth Affiliated Hospital of Sun Yat-sen University， between January 2010 and December 2023. We summarized the clinical data of the cohort， including age， gravidity， chief complaints， treatment regimens， and postoperative follow-up outcomes， and explored the clinical efficacy and safety of ultrasound-guided microwave ablation for UAVF in conjunction with a literature review. ResultsThe patients were aged 26-44 years， with a mean age of （34.33±6.12） years and a median age of 33.5 years. All patients were initially screened via color Doppler ultrasound and definitively diagnosed by imaging modalities including uterine arteriography， computed tomography， and magnetic resonance imaging. The median gravidity was 4（4，6）， with 5 patients having a history of ≥2 pregnancies. Five patients had a history of intrauterine instrumentation， among whom 4 had undergone ≥2 procedures. Regarding clinical presentations， 3 patients presented with abnormal vaginal bleeding （2 with massive hemorrhage）， 2 were asymptomatic with abnormalities detected only on imaging， and 1 reported lower abdominal pain. In terms of management， 1 patient with recurrence after uterine artery embolization （UAE） underwent ultrasound-guided microwave ablation； 1 received UAE alone； 2 patients with concomitant retained products of conception underwent hysteroscopic mechanical morcellation （1 developed massive hemorrhage 10 hours postoperatively， which was successfully controlled with uterine balloon tamponade）； 1 underwent focal lesion resection； and 1 underwent total hysterectomy. All 6 patients achieved favorable therapeutic outcomes. ConclusionAbnormal vaginal bleeding is the most typical clinical manifestation of UAVF， and digital subtraction angiography of the uterine arteries is recognized as the gold standard for definitive diagnosis. Emergency UAE is indicated for patients presenting with acute massive hemorrhage and hemodynamic instability. For patients with failed UAE or post-UAE recurrence who desire uterine and fertility preservation， ultrasound-guided microwave ablation represents a safe， effective， and novel minimally invasive therapeutic option.

[Objective] To investigate the factors associated with alanine aminotransferase (ALT) abnormalities in multi-ethnic blood donors across five Zang autonomous prefectures in the plateau regions of Qinghai Province, and to provide evidence for ensuring blood safety and formulating screening strategies. [Methods] A retrospective analysis was performed on the ALT abnormal test results of blood donors in the Zang autonomous prefectures of Qinghai from 2022 to 2024. The correlations between ALT levels and factors including gender, age, altitude, and infectious markers were investigated. [Results] The overall ALT unqualified rate among blood donors in this region was 9.01%. Significant differences in ALT levels were observed across genders and age groups (P<0.05). Variations in ALT abnormality rates were also noted among different plateau regions (P<0.05). Overall, ALT values exhibited an increasing trend with rising altitude. The average ALT unqualified rates were 11.19% in Zang donors, 7.96% in Han donors, and 4.79% in donors from other ethnic groups (P<0.05). No statistically significant association was observed between ALT abnormality and the presence of HBV/HCV infectious markers (P>0.05). [Conclusion] In the plateau areas of Qinghai, multi-ethnic blood donors have a relatively high ALT levels and ALT unqualified rates, showing distinct regional characteristics. ALT elevation in voluntary blood donors is related to non-pathological factors such as gender, age, and dietary habits, but not to infectious indicators.

Interferon regulatory factor 4 (IRF4) is a critical transcription factor that governs the differentiation of cluster of differentiation 4⁺ (CD4⁺) T cells. The pathogenesis and progression of psoriasis are primarily attributed to an immune imbalance stemming from the overproduction of interleukin-17A (IL-17A) by T lymphocytes. However, the role of IRF4 in psoriasis remains unexplored. In this study, we found that IRF4 activity is increased in the cutaneous lesions of patients with psoriasis in response to stimulation by IL-23A and IL-1β. This IRF4 elevation heightens its binding to the E1A binding protein p300 (EP300) promoter, triggering the transcription of downstream retinoic acid receptor-related orphan receptor-γt (RORγt) and increasing the secretion of IL-17A, thereby establishing the IL-1β/IL-23A-IRF4-EP300-RORC-IL-17A inflammatory cascade in psoriasis. The alleviation of imiquimod (IMQ)-induced psoriatic-like symptoms was achieved through the creation of a Irf4 ^-/- gene deletion mouse model and pharmacological inhibition using antisense oligonucleotides targeted for Irf4. This amelioration was accompanied by a decreased number of IL-17A-producing CD4⁺ T cells in the skin. The findings of this study suggest that IRF4 plays a crucial role in the promotion of inflammation and exacerbation of IMQ-induced psoriasiform dermatitis. Consequently, IRF4 targeting could be a promising therapeutic strategy.

Objective:To analyze the reasons for the low results obtained by the determination of isosorbide dini-trate tablets content using the methods in the Chinese Pharmacopoeia and to improve the content determination method.Methods:The content of isosorbide dinitrate in 10 tablets was determined by high-performance liquid chromatography(HPLC)using a Phenomenex Luna C18 column(4.6 mm ×250 mm,5 μm)for separation,with a mobile phase of methanol-water(54∶46),a flow rate of 1.0 mL·min-1,and a UV detector set at a wavelength of 230 nm.The average content of 10 tablets was taken as the result of the content determination.Results:Isosor-bide dinitrate showed good linearity in the range of 49.22 to 1 230.5 μg·mL-1(r=0.999 96);the relative stand-ard deviation was 0.11％,the recovery rate was 96.0％,and the RSD was 1.5％(n=9).Conclusion:This method simplifies the experimental operations and steps,can eliminate the interference factors introduced by the original method,and improves the accuracy of the detection results.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

Objective To analyze the clinical and pathogenic characteristics,as well as influencing factors for the prognosis of patients with Candida bloodstream infection(CBSI).Methods Clinical data of 47 CBSI patients in a hospital from January 2015 to September 2024 were collected.Distribution of departments and infection strains,an-timicrobial resistance,and influencing factors for the poor prognosis of patients were analyzed.Results A total of 51 strains of Candida were detected from 47 CBSI patients,mainly from the intensive care unit(ICU;n=25,53.2％),department of intestinal fistula surgery(n=8,17.0％),and department of respiratory medicine(n=4,8.6％),et al.The main detected pathogens were Candida albicans(n=29,56.9％),Candida tropicalis(n=7,13.7％),Candida glabrata(n=6,11.8％),and Candida parapsilosis(n=6,11.8％).Resistance rate of Candida albi-cans to fluconazole was 11.5％(3/26).According to the prognosis results,patients were divided into a good prog-nosis group(n=26,55.3％)and a poor prognosis group(n=21,44.7％).Univariate analysis showed statistically significant differences between patients in the good prognosis group and the poor prognosis group in terms of abso-lute neutrophil count,ICU admission,mechanical ventilation,tracheal intubation,gastrointestinal hemorrhage/per-foration,and surgical treatment(lesion clearance,drainage or unblocking for obstruction)(all P＜0.05).Prelimi-nary multivariate logistic regression analysis showed that gastrointestinal hemorrhage/perforation was a potential risk factor for the poor prognosis in CBSI patients(OR=11.156,95％CI:1.434-86.809,P=0.021).Conclusion The detected CBSI strains are mainly Candida albicans,and gastrointestinal hemorrhage/perforation may be one of the potential risk factors affecting the prognosis of CBSI patients.These patients are generally in critical condition and should be detected and treated as early as possible to improve their prognosis.Due to the small amount of speci-mens,further research is still needed for confirmation.

Objective:To investigate the current status of real time application of domestic and imported medical device in the real-world in Liaoning province,and provide data support for the promotion and application of domestic medical device.Methods:Data of the usage of medical device were collected from 77 medical institutions at all levels in 9 urban-rural demonstration regions with representativeness in Liaoning Province from November 2017 to June 2020.Descriptive analysis was used to characterize the distribution of medical device,which data were collected in urban-rural medical institutions at all levels in Liaoning Province.The total amount of receiving test of medical device,and the tested amount of each device in each month in urban-rural medical institutions at all levels were calculated.The median value of monthly average number of persons who received test of various kind of domestic and imported medical device in each month in hospitals with third level and secondary level were also calculated.Results:The total number of device that were collected from 77 medical institutions in 9 demonstration regions in Liaoning province was 325,among of which there were 153 domestic device(accounting for 47.1%)and 172 imported devices(accounting for 52.9%).A total of 6,261,000 person-time valid records were collected from 77 medical institutions,which average test number was 5,562 person-time in each device and each month.The total number of person-times of domestic device in diagnosis and treatment was 1,380,000 person-times(accounting for 22.0%),and that of imported devices was 4,881,000 person-times(accounting for 78.0%).The average test number of each device of domestic device in each month was 2,334 person-times(accounting for 42.0%),and that of imported device in each month was 3,228 person-times(accounting for 58.0%).In urban regions,imported device were dominant,while domestic medical device were dominant in rural regions in Liaoning province.The overall usage frequency of imported medical device was higher in hospitals with third level or secondary level,while the usage frequency of domestic medical device was higher in grassroots medical institutions.Conclusion:There are differences in the real time usage between domestic and imported medical device among 77 medical institutions at all levels in 9 demonstration regions in Liaoning province.Urban regions mainly tend to use imported device,while rural regions more tent to use domestic device.

Objective:To evaluate the application effect of a wearable visual field meter based on extended reality (XR) glasses for patients with macular disease.Methods:A self-controlled study was conducted.A total of 41 consecutive patients (41 eyes) with macular disease were recruited at Renmin Hospital of Wuhan University from October 2022 to October 2024.All patients underwent 10-2 center visual field test using a self-developed wearable visual field meter (XRVF), and the results were compared with those obtained using a traditional Humphrey field analyzer (HFA).The comparison parameters included mean retinal sensitivity (MS), false positive rate (FPR), false negative rate (FNR), and testing duration.A subject satisfaction questionnaire was administered.This study followed the Declaration of Helsinki.The study protocol was approved by the Medical Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY2024-K263), and all subjects signed the informed consent form.Results:The retinal sensitivity of patients measured by HFA was (23.24±3.71)dB, which was higher than (22.01±3.45)dB by XRVF, showing a statistically significant difference ( t=4.924, P=0.036).The FPR measured by HFA and XRVF were (2.39±2.51)% and (2.59±3.29)%, respectively, and the FNR were (3.49±6.05)% and (3.74±5.38)%, respectively, showing no statistically significant difference ( t=-3.624, P=0.948; t=-1.241, P=0.519).The median test duration for HFA and XRVF was 6.15 (5.78, 6.65) and 5.98 (5.71, 6.69)minutes, respectively, without statistically significant difference ( Z=-1.987, P=0.953).92.6% of the subjects thought the device was comfortable, simple and practical. Conclusions:The XRVF has good consistency with the HFA, can effectively and reliably evaluate the visual field function of patients with macular disease, and is easily accepted by patients.