Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

Objective:To investigate the satisfaction levels of the rural elderly in Dafeng district of Yancheng, Jiangsu province with the contracted family doctor services, and to identify the factors that influence their satisfaction.The findings of this study will provide valuable insights for improving the quality of the contracted family doctor services offered to the rural elderly population.Methods:The study utilized the stratified cluster sampling method to select elderly individuals aged 60 years and above from Dafeng district, Yancheng city for a questionnaire survey.Specifically, the study focused on elderly individuals who had participated in contracted family doctor services for more than six months.The survey aimed to gather information on the elderly population's general situation, as well as their understanding, utilization, and satisfaction with contracted family doctor services.The satisfaction of contracted family doctor services was analyzed using the chi square test and multivariate Logistic regression to identify the influencing factors.Results:The study surveyed 385 elderly individuals from rural areas who had contracted family doctor services.The results showed that 88.3%(340/385)of respondents were satisfied with the services they received.Additionally, 99.2%(382/385)of those surveyed were aware of the contracted family doctor services, and 81.8%(315/385)had received basic medical services from their signed-up doctors.The results of a multifactor analysis that examined the factors influencing the overall satisfaction of elderly patients with their contracted family doctor services revealed several significant factors.Specifically, being female( OR=2.557, 95% CI: 1.122-5.830, P=0.026)and unmarried( OR=7.355, 95% CI: 1.850-29.237, P=0.005), supporting the contracted family doctor services system( OR=18.442, 95% CI: 1.732-195.973, P=0.016), believing that the contracted medical institutions had excellent hardware facilities( OR=9.918, 95% CI: 2.313-42.526, P=0.002)and providing high-quality health services for the elderly( OR=8.723, 95% CI: 1.556-48.908, P=0.014), as well as experiencing improved health status after signing the contract( OR=5.006, 95% CI: 1.764-14.201, P=0.002)were all significant factors influencing their satisfaction.These findings suggest that these factors are important considerations for improving the satisfaction of elderly patients with their contracted family doctor services. Conclusions:The contracted family doctor services provided in Dafeng district, Yancheng city have been well received by the rural elderly population.Factors such as gender, marital status, attitude towards the contracted family doctor services system, improvements in health status after contracting the service, quality of the hardware facilities at the contracted medical institution, and availability of health services specifically tailored for the elderly all play a role in determining the level of satisfaction among the contracted elderly population.To better serve the elderly population, it is crucial that we prioritize their needs.This can be achieved by improving the level of "suitable aging" in the contracted services and enhancing the satisfaction of family doctors who provide these services.

Objective:To describe the current status and trends in the outcomes and care practices of extremely preterm infants at 22-25 weeks′ gestation age from the Chinese Neonatal Network (CHNN) from 2019 to 2021.Methods:This cross-sectional study used data from the CHNN cohort of very preterm infants. All 963 extremely preterm infants with gestational age between 22-25 weeks who were admitted to neonatal intensive care units (NICU) of the CHNN from 2019 to 2021 were included. Infants admitted after 24 hours of life or transferred to non-CHNN hospitals were excluded. Perinatal care practices, survival rates, incidences of major morbidities, and NICU treatments were described according to different gestational age groups and admission years. Comparison among gestational age groups was conducted using χ2 and Kruskal-Wallis tests. Trends by year were evaluated by Cochran-Armitage and Jonckheere-Terpstra tests for trend. Results:Of the 963 extremely preterm infants enrolled, 588 extremely preterm infants (61.1%) were male. The gestational age was 25.0 (24.4, 25.6) weeks, with 29 extremely preterm infants (3.0%), 88 extremely preterm infants (9.1%), 264 extremely preterm infants (27.4%), and 582 extremely preterm infants (60.4%) at 22, 23, 24, and 25 weeks of gestation age, respectively. The birth weight was 770 (680, 840) g. From 2019 to 2021, the number of extremely preterm infants increased each year (285, 312, and 366 extremely preterm infants, respectively). Antenatal steroids and magnesium sulfate were administered to 67.7% (615/908) and 51.1% (453/886) mothers of extremely preterm infants. In the delivery room, 20.8% (200/963) and 69.5% (669/963) extremely preterm infants received noninvasive positive end-expiratory pressure support and endotracheal intubation. Delayed cord clamping and cord milking were performed in 19.0% (149/784) and 30.4% (241/794) extremely preterm infants. From 2019 to 2021, there were significant increases in the usage of antenatal steroids, antenatal magnesium sulfate, and delivery room noninvasive positive-end expiratory pressure support (all P<0.05). Overall, 349 extremely preterm infants (36.2%) did not receive complete care, 392 extremely preterm infants (40.7%) received complete care and survived to discharge, and 222 extremely preterm infants (23.1%) received complete care but died in hospital. The survival rates for extremely preterm infants at 22, 23, 24 and 25 weeks of gestation age were 10.3% (3/29), 23.9% (21/88), 33.0% (87/264) and 48.3% (281/582), respectively. From 2019 to 2021, there were no statistically significant trends in complete care, survival, and mortality rates (all P>0.05). Only 11.5% (45/392) extremely preterm infants survived without major morbidities. Moderate to severe bronchopulmonary dysplasia (67.3% (264/392)) and severe retinopathy of prematurity (61.5% (241/392)) were the most common morbidities among survivors. The incidences of severe intraventricular hemorrhage or periventricular leukomalacia, necrotizing enterocolitis, and sepsis were 15.3% (60/392), 5.9% (23/392) and 19.1% (75/392), respectively. Overall, 83.7% (328/392) survivors received invasive ventilation during hospitalization, with a duration of 22 (10, 42) days. The hospital stay for survivors was 97 (86, 116) days. Conclusions:With the increasing number of extremely preterm infants at 22-25 weeks′ gestation admitted to CHNN NICU, the survival rate remained low, especially the rate of survival without major morbidities. Further quality improvement initiatives are needed to facilitate the implementation of evidence-based care practices.

Excellent lead compounds have a profound influence on drug development and can improve the success rate of product launch. It is expensive and time-consuming to discover lead compounds by traditional methods, yet artificial intelligence (AI) can discover good lead compounds efficiently.This article systematically summarizes the research progress of obtaining lead compounds through the screening and generation models of AI, classifies different models according to the type of information input, focuses on drug repurposing by screening model and multi-objective drug design by generation model, and discusses the development prospect of AI in the research field of lead compounds, aiming to provide new research ideas for the application of AI in lead compounds.

Abstract Recent years have witnessed more attention paid to the health effects of the natural radionuclide 226Ra, and a series of research carried out on the detection methods of 226Ra at home and abroad. The common 226Ra detection methods are emanation scintillation, gamma spectrometry, liquid scintillation counting, alpha spectrometry and alpha counting. Emanation scintillation is mature enough as a classical method, while gamma spectrometry and liquid scintillation counting proceed fast. Due to the radiation of 226Ra, these detection methods still have the problems such as the requirement for large samples, long detection periods, complicated steps, high detection limits and low recovery rates. This paper reviews the five methods above and summarize their advantages and disadvantages, so as to provide the reference for selecting and optimizing the detection methods for different samples as well as perfecting the standard method in China.

OBJECTIVETo observe depot medroxyprogesterone acetate (DMPA) and testosterone undecanoate (TU) injected at 8-week intervals for the suppression of spermatogenesis in healthy Chinese men.

METHODSAfter screening, 30 healthy volunteers were enrolled and randomly assigned to 3 dosage-groups (n = 10/group): 1000 mg TU (Group A), 1000 mg TU plus 150 mg DMPA (Group B), 1000 mg TU plus 300 mg DMPA (Group C). All dosages were given as intramuscular injections at 8-week intervals. The study consisted of an 8-week control (baseline) period, a 24-week treatment period and a 24-week recovery period.

RESULTSConsistent azoospermia or severe oligozoospermia was achieved and maintained in all the volunteers during the treatment period, except 2 in the mere TU group who experienced a "rebound" in sperm concentrations. An 8-week regimen of TU plus DMPA at both tested combination dosages effectively suppressed spermatogenesis to azoospermia. All volunteers tolerated the injections; no serious adverse effects were reported.

CONCLUSIONThe lower combined dosage is recommended for further testing in an expanded clinical trial or contraceptive efficacy study.

Adult ; Androgens ; pharmacology ; China ; Gonadotropin-Releasing Hormone ; biosynthesis ; Humans ; Hypothalamo-Hypophyseal System ; metabolism ; Male ; Medroxyprogesterone Acetate ; pharmacology ; Prospective Studies ; Sperm Count ; Spermatogenesis ; drug effects ; Testosterone ; analogs & derivatives ; pharmacology