Objective To investigate the spatial distribution of Aedes albopictus in China at different time periods from 2000 to 2019, so as to provide insights into precise management of Ae. albopictus in China. Methods Data pertaining to the distribution of Ae. albopictus in China from 2000 to 2019 were collected through literature retrieval with terms of “Aedes albopictus”, “monitoring”, “survey”, “density”, “distribution”, and “outbreak” in national and international databases. The title and time of the publication, sampling sites, sampling time, mosquito capture methods, and mosquito species and density were extracted, and the longitude and latitude of sampling sites were obtained through Baidu Map. Meteorological element data at meteorological observation stations within China were obtained from the National Climatic Data Center of the United States, and the annual maximum temperature, annual minimum temperature, average temperature in January, average temperature in July, annual temperature range, daily temperature range and relative humidity were calculated and subjected to Kriging interpolation. Monthly cumulative precipitation grid data and monthly average temperature grid data with a resolution of 1 km for China from 2000 to 2019 were obtained from the National Tibetan Plateau Scientific Data Center, and the annual precipitation and annual average temperature were calculated cumulatively. Population density data in China from 2000 to 2019 were obtained from the WorldPop Hub, and the gross domestic product (GDP) in China was obtained from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. The above data were divided into 5-year intervals to calculate data during the periods from 2000 to 2004, from 2005 to 2009, from 2010 to 2014, and from 2015 to 2019. Ae. albopictus distribution data were modeled in China from 2000 to 2019 and during each period with the classification random forest (RF) model, to predict the distribution of Ae. albopictus across the country and analyze the distribution of Ae. albopictus based on the seven major climate zones in China. The performance of RF models was evaluated by accuracy, precision, recall, and area under the receiver operating characteristic curve (AUC), and the importance of each feature in the RF model was evaluated with mean decrease accuracy (MDA). Results A total of 1 191 Chinese publictions and 391 English publications were retrieved, among which 580 articles provided detailed data on the sampling sites of Ae. albopictus and specific sampling years, meeting the inclusion criteria. A total of 2 234 Ae. albopictus sampling sites were included in China from 2000 to 2019, and RF modeling results showed that the overall Ae. Albopictus distribution area was mainly found in southeastern and southwestern provinces of China from 2000 to 2019, with scattered distribution in coastal areas of northeastern provinces, such as Liaoning Province. The accuracy, precision, recall and AUC of the RF model were 0.915 to 0.947, 0.933 to 0.975, 0.898 to 0.978, and 0.902 to 0.932 for the distribution of Ae. albopictus at different time periods from 2000 to 2019. Among all features in the RF models, population density was the most contributing factor to the distribution of Ae. albopictus in China, followed by GDP, and all meteorological variables contributed relatively less to the predictive power of the RF model. In China’s seven major climate zones, Ae. albopictus was almost entirely distributed in the marginal tropical humid region, the north subtropical humid region, and the warm temperate semi-humid region. The combined distribution area of these three zones accounted for 100.0% of the national distribution area from 2000 to 2004, from 2005 to 2009, and from 2010 to 2014, and 99.9% from 2015 to 2019, and the proportion of Ae. albopictus distribution area in the warm temperate semihumid region increased gradually from 20.2% to 30.2%. Conclusions Ae. albopictus is mainly distributed in the southeastern and southwestern provinces of China and is greatly influenced by population and economic factors. The warm temperate semi-humid region in China is gradually becoming a hot spot for the distribution of Ae. albopictus.

Liposomes serve as critical carriers for drugs and vaccines, with their biological effects influenced by their size. The microfluidic method, renowned for its precise control, reproducibility, and scalability, has been widely employed for liposome preparation. Although some studies have explored factors affecting liposomal size in microfluidic processes, most focus on small-sized liposomes, predominantly through experimental data analysis. However, the production of larger liposomes, which are equally significant, remains underexplored. In this work, we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning (ML) model capable of accurately predicting liposomal size. Experimental validation was conducted using a staggered herringbone micromixer (SHM) chip. Our findings reveal that most investigated variables significantly influence liposomal size, often interrelating in complex ways. We evaluated the predictive performance of several widely-used ML algorithms, including ensemble methods, through cross-validation (CV) for both liposome size and polydispersity index (PDI). A standalone dataset was experimentally validated to assess the accuracy of the ML predictions, with results indicating that ensemble algorithms provided the most reliable predictions. Specifically, gradient boosting was selected for size prediction, while random forest was employed for PDI prediction. We successfully produced uniform large (600 nm) and small (100 nm) liposomes using the optimised experimental conditions derived from the ML models. In conclusion, this study presents a robust methodology that enables precise control over liposome size distribution, offering valuable insights for medicinal research applications.

To promote the standardization and normalization of perioperative care for follicular unit extraction(FUE) hair transplantation, ensure treatment efficacy, and align with advancements in the specialty, the Nursing Branch of the Chinese Association of Plastic and Aesthetics organized a panel of domestic experts. By integrating evidence-based medicine with clinical practice experience, and following thorough discussions, these experts developed the Clinical Practice Expert Consensus on Perioperative Nursing Care for Follicular Unit Extraction (2025). This consensus provides a comprehensive overview of hair transplantation, covering preoperative preparation, surgical procedures, intraoperative coordination, postoperative management, and complication prevention and treatment. It serves as a key reference and guide for implementing standardized perioperative nursing care in FUE hair transplantation.

OBJECTIVE: The self-defined multidisciplinary (endocrinology, vascular surgery, and orthopedics) scoring system (EMO scoring system for short) was designed. The feasibility of the EMO scoring system to guide the proximal tibial transverse transport (TTT) for diabetic foot wounds was preliminarily explored. METHODS: Based on the current commonly used clinical criteria for diabetic foot judgment, expert consensus, guidelines, and related research progress in the treatment of diabetic foot wounds, combined with clinical experience, a set of EMO scoring systems including endocrinology, vascular surgery, and orthopedics was formulated. The criteria for selecting conservative treatment, TTT after baseline improvement, and TTT based on scoring results was proposed. A total of 56 patients with diabetic foot wounds who were admitted between September 2017 and July 2022 and met the selection criteria was taken as the study subjects. Among them, 28 patients were treated with TTT and 28 patients were treated conservatively. The patients were graded according to the EMO scoring system, the corresponding treatment methods were selected, and the actual treatment methods and results of the patients were compared. RESULTS: The EMO scoring system was formed through literature retrieval and clinical experiences. The system included three criteria, namely endocrinology (E), macrovascular disease (M), and orthopedics (O), which were divided into multiple subtypes according to the relevant evaluation items, and finally the diabetic foot wound was divided into 8 types, which correspondingly selected TTT, TTT after baseline improvement, and conservative treatment. All 56 patients were followed up 12 months after treatment. Among them, the wound healing rate of the TTT group was 85.71% (24/28), which was higher than that of the conservative treatment group [53.57% (15/28)]. At 12 week after treatment, CT angiography showed that there were more small blood vessels in the wound and ipsilateral limb in TTT group than in the conservative treatment group. Based on the EMO scoring system, 14 of the 56 patients needed conservative treatment, 29 patients needed TTT, and 13 patients needed TTT after baseline improvement. Compared with the clinical data of the patients, the wound healing rate of the patients judged to be TTT was 75.86% (22/29), of which 21 cases were actually treated with TTT, and the healing rate was 90.48%; 8 patients were treated conservatively, and the healing rate was 37.50%. The wound healing rate of the patients judged to be conservative treatment was 92.86% (13/14), of which 1 case was actually treated with TTT, and the healing rate was 100%; 13 cases were treated conservatively, and the healing rate was 92.31%; 1 case experienced minor amputation. The wound healing rate of the patients judged to TTT after baseline improvement was only 30.77% (4/13), of which 6 cases were actually treated with TTT, and the healing rate was 66.67%; 7 cases were treated conservatively, and the healing rate was 0. CONCLUSION EMO scoring system can comprehensively evaluate the diabetic foot wounds, and make personalized judgment on whether TTT treatment is feasible, so as to improve the level of diabetic foot wound treatment and the prognosis of patients.
Humans ; Diabetic Foot/therapy* ; Feasibility Studies ; Male ; Female ; Middle Aged ; Aged ; Tibia/surgery* ; Wound Healing ; Adult ; Treatment Outcome ; Conservative Treatment

OBJECTIVES: To assess the preliminary efficacy and safety of a dose-intensified C5VD regimen (cisplatin, 5-fluorouracil, vincristine, and doxorubicin) in children with locally advanced hepatoblastoma. METHODS: This prospective study enrolled 24 children with newly diagnosed, locally advanced hepatoblastoma who received the dose-intensified C5VD regimen at Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, and Shanghai Children's Hospital between January 2020 and December 2023. Clinical characteristics, treatment outcomes, and chemotherapy-related toxicities were analyzed. RESULTS: Of the 24 patients, 13 were male and 11 were female, with a median age at diagnosis of 18.7 months (range: 3.5-79.4 months). All patients achieved complete macroscopic resection of hepatic lesions without liver transplantation. Serum alpha-fetoprotein levels decreased significantly after two chemotherapy cycles. During a median follow-up of 38.4 months (range: 15.8-50.7 months), all patients maintained continuous complete remission, with 3-year event-free survival and overall survival rates of 100%. Across 144 chemotherapy cycles, the incidence rates of grade 3-4 neutropenia, thrombocytopenia, and infections were 97%, 77%, and 71%, respectively; no treatment-related deaths occurred. Notably, 5 patients (21%) developed Brock grade ≥3 hearing loss, of whom 1 required a hearing aid. CONCLUSIONS The dose-intensified C5VD regimen demonstrates significant efficacy with an overall favorable safety profile in the treatment of newly diagnosed, locally advanced pediatric hepatoblastoma. Grade 3-4 myelosuppression and infection are the predominant toxicities. However, high‑dose cisplatin-induced ototoxicity remains a concern, highlighting the need for improved otoprotective strategies.
Humans ; Hepatoblastoma/pathology* ; Male ; Female ; Infant ; Liver Neoplasms/pathology* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Child, Preschool ; Prospective Studies ; Doxorubicin/adverse effects* ; Child ; Cisplatin/adverse effects* ; Vincristine/adverse effects* ; Fluorouracil/adverse effects*

OBJECTIVE: To investigate the clinical features and prognostic factors of primary tonsil lymphoma (PTL). METHODS: The clinical data of 41 patients diagnosed with PTL and treated in the Affiliated Hospital of Xuzhou Medical University from January 2015 to December 2022 were collected and retrospectively analyzed. Their clinical features and prognostic factors were analyzed. RESULTS: All the 41 patients were newly diagnosed with PTL, and the median age of onset was 58(19-85) years. Among them, 19 patients started with pharyngeal pain, 12 patients presented with dysphagia, 8 patients presented with pharyngeal mass, and 2 patients presented with blurred articulation. The most common pathological type was diffuse large B-cell lymphoma (24 cases, 58.54%). All patients received chemotherapy, and 3 patients were combined with hematopoietic stem cell transplantation. Among 41 patients, 11 (26.83%) achieved complete response, 14 (34.15%) achieved partial response, and the total response rate was 60.98% (25/41). The median follow-up time was 37(6-107) months, the 5-year overall survival (OS) rate was 70.81% and 5-year progression-free survival (PFS) rate was 66.20%. Univariate analysis showed that B symptoms, Ki-67, β₂-MG and IPI score had significant effects on PFS and OS of patients (all P < 0.05). Multivariate analysis showed that IPI score was an independent risk factor for PFS and OS of patients (P < 0.05). CONCLUSION The clinical manifestations of PTL lack specificity, and the prognosis is relatively good. Most patients can achieve long-term survival after treatment. IPI score is related to the prognosis.
Tonsillar Neoplasms/pathology* ; Lymphoma/pathology* ; Humans ; Prognosis ; Retrospective Studies ; Drug Therapy ; Progression-Free Survival ; Male ; Female ; Young Adult ; Adult ; Middle Aged ; Aged ; Aged, 80 and over ; Lymphoma, B-Cell/pathology* ; Survival Rate

Objective Gallstone disease(GSD)is one of the common digestive tract diseases with a high worldwide prevalence.The effects of GSD on patients include but are not limited to the symptoms of nausea,vomiting,and biliary colic directly caused by GSD.In addition,there is mounting evidence from cohort studies connecting GSD to other conditions,such as cardiovascular diseases,biliary tract cancer,and colorectal cancer.Early identification of patients at a high risk of GSD may help improve the prevention and control of the disease.A series of studies have attempted to establish prediction models for GSD,but these models could not be fully applied in the general population due to incomplete prediction factors,small sample sizes,and limitations in external validation.It is crucial to design a universally applicable GSD risk prediction model for the general population and to take individualized intervention measures to prevent the occurrence of GSD.This study aims to conduct a multicenter investigation involving more than 90 000 people to construct and validate a complete and simplified GSD risk prediction model.Methods A total of 123 634 participants were included in the study between January 2015 and December 2020,of whom 43 929 were from the First Affiliated Hospital of Chongqing Medical University(Chongqing,China),11 907 were from the First People's Hospital of Jining City(Shandong,China),1 538 were from the Tianjin Medical University Cancer Institute and Hospital(Tianjin,China),and 66 260 were from the People's Hospital of Kaizhou District(Chongqing,China).After excluding patients with incomplete clinical medical data,35 976 patients from the First Affiliated Hospital of Chongqing Medical University were divided into a training data set(n=28 781,80% )and a validation data set(n=7 195,20% ).Logistic regression analyses were performed to investigate the relevant risk factors of GSD,and a complete risk prediction model was constructed.Factors with high scores,mainly according to the nomograms of the complete model,were retained to simplify the model.In the validation data set,the diagnostic accuracy and clinical performance of these models were validated using the calibration curve,area under the curve(AUC)of the receiver operating characteristic curve,and decision curve analysis(DCA).Moreover,the diagnostic accuracy of these two models was validated in three other hospitals.Finally,we established an online website for using the prediction model(The complete model is accessible at https://wenqianyu.shinyapps.io/Completemodel/,while the simplified model is accessible at https://wenqianyu.shinyapps.io/Simplified/).Results After excluding patients with incomplete clinical medical data,a total of 96 426 participants were finally included in this study(35 876 from the First Affiliated Hospital of the Chongqing Medical University,9 289 from the First People's Hospital of Jining City,1 522 from the Tianjin Medical University Cancer Institute,and 49 639 from the People's Hospital of Kaizhou District).Female sex,advanced age,higher body mass index,fasting plasma glucose,uric acid,total bilirubin,gamma-glutamyl transpeptidase,and fatty liver disease were positively associated with risks for GSD.Furthermore,gallbladder polyps,total cholesterol,high-density lipoprotein cholesterol,low-density lipoprotein cholesterol,and aspartate aminotransferase were negatively correlated to risks for GSD.According to the nomograms of the complete model,a simplified model including sex,age,body mass index,gallbladder polyps,and fatty liver disease was constructed.All the calibration curves exhibited good consistency between the predicted and observed probabilities.In addition,DCA indicated that both the complete model and the simplified model showed better net benefits than treat-all and treat-none.Based on the calibration plots,DCA,and AUCs of the complete model(AUC in the internal validation data set=74.1%[95% CI:72.9%-75.3%],AUC in Shandong=71.7%[95% CI:70.6%-72.8%],AUC in Tianjin=75.3%[95% CI:72.7%-77.9%],and AUC in Kaizhou=72.9%[95% CI:72.5%-73.3%])and the simplified model(AUC in the internal validation data set=73.7%[95% CI:72.5%-75.0%],AUC in Shandong=71.5%[95% CI:70.4%-72.5%],AUC in Tianjin=75.4%[95% CI:72.9%-78.0%],and AUC in Kaizhou=72.4%[95% CI:72.0%-72.8%]),we concluded that the complete and simplified risk prediction models for GSD exhibited excellent performance.Moreover,we detected no significant differences between the performance of the two models(P>0.05).We also established two online websites based on the results of this study for GSD risk prediction.Conclusions This study innovatively used the data from 96 426 patients from four hospitals to establish a GSD risk prediction model and to perform risk prediction analyses of internal and external validation data sets in four cohorts.A simplified model of GSD risk prediction,which included the variables of sex,age,body mass index,gallbladder polyps,and fatty liver disease,also exhibited good discrimination and clinical performance.Nonetheless,further studies are needed to explore the role of low-density lipoprotein cholesterol and aspartate aminotransferase in gallstone formation.Although the validation results of the complete model were better than those of the simplified model to a certain extent,the difference was not significant even in large samples.Compared with the complete model,the simplified model uses fewer variables and yields similar prediction and clinical impact.Hence,we recommend the application of the simplified model to improve the efficiency of screening high-risk groups in practice.The use of the simplified model is conducive to enhancing the self-awareness of prevention and control in the general population and early intervention for GSD.

Objective To investigate the effect of Ophiopogonin D on lipopolysaccharide(LPS)-induced apoptosis of alveolar epithelial cells by regulating the interleukin-6(IL-6)/Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)signaling pathway.Methods A549 AT Ⅱ cells cultured in vitro were randomly divided into four groups:control group,LPS group,LPS+Ophiopogonin D group,LPS+Ophiopogonin D+colivelin(JAK2/STAT3 signal activator)group,except for the control group,and cells in all other groups were established injury models while being grouped with Ophiopogonin D and colivelin for treatment.Cell counting kit-8(CCK-8)experiment and flow cytometry were applied to detect cell proliferation and apoptosis in each group;Western blotting was applied to detect the expression of IL-6/JAK2/STAT3 signaling pathway proteins of cells in each group.Results The apoptosis rates of A549 cells in control group,LPS group,LPS+Ophiopogonin D group and LPS+Ophiopogonin D+colivelin group were(2.52±0.73)％,(52.43±4.14)％,(1.67±0.52)％and(47.94±3.43)％;IL-6 protein levels were 0.14±0.03,0.49±0.05,0.17±0.04 and 0.45±0.06,and p-JAK2/JAK2 protein levels were 0.17±0.04,0.64±0.08,0.19±0.06 and 0.61±0.07;p-STAT3/STAT3 protein levels were 0.20±0.06,0.69±0.10,0.22±0.07 and 0.65±0.09;the apoptosis rates of AT Ⅱ cells were(3.01±0.69)％,(55.16±3.94)％,(2.35±0.71)％and(50.28±3.78)％;the levels of IL-6 protein were 0.11±0.03,0.87±0.13,0.19±0.04 and 0.84±0.12;the p-JAK2/JAK2 protein levels were 0.13±0.04,0.56±0.08,0.15±0.03 and 0.53±0.07;p-STAT3/STAT3 protein levels were 0.30±0.08,0.79±0.14,0.33±0.09 and 0.75±0.13.The above indexes:control group,LPS+Ophiopogonin D group compared with LPS group,LPS+Ophiopogonin D+colivelin group compared with LPS+Ophiopogonin D group,the differences were statistically significant(all P＜0.05).Conclusion Ophiopogonin D can reduce LPS induced inflammation and oxidative stress levels by inhibiting the activation of IL-6/JAK2/STAT3 signaling pathway,ultimately reducing LPS-induced apoptosis of alveolar epithelial cells.