OBJECTIVE: This study aimed to identify high-risk areas for type 2 diabetes mellitus (T2DM) mortality to provide relevant evidence for interventions in emerging economies. METHODS: Empirical Bayesian Kriging and a discrete Poisson space-time scan statistic were applied to identify the spatiotemporal clusters of T2DM mortality. The relationships between economic factors, air pollutants, and the mortality risk of T2DM were assessed using regression analysis and the Poisson Log-linear Model. RESULTS: A coastal district in East Guangdong, China, had the highest risk (Relative Risk [RR] = 4.58, P < 0.01), followed by the 10 coastal districts/counties in West Guangdong, China (RR = 2.88, P < 0.01). The coastal county in the Pearl River Delta, China (RR = 2.24, P < 0.01), had the third-highest risk. The remaining risk areas were two coastal counties in East Guangdong, 16 districts/counties in the Pearl River Delta, and two counties in North Guangdong, China. Mortality due to T2DM was associated with gross domestic product per capita (GDP per capita). In pilot assessments, T2DM mortality was significantly associated with carbon monoxide. CONCLUSION High mortality from T2DM occurred in the coastal areas of East and West Guangdong, especially where the economy was progressing towards the upper middle-income level.
Diabetes Mellitus, Type 2/epidemiology* ; China/epidemiology* ; Humans ; Risk Factors ; Spatio-Temporal Analysis ; Air Pollutants/analysis* ; Socioeconomic Factors ; Bayes Theorem ; Female ; Male ; Middle Aged

PURPOSE: To methodically assess the effectiveness of augmentative plating (AP) and exchange nailing (EN) in managing nonunion following intramedullary nailing for long bone fractures of the lower extremity. METHODS: PubMed, EMBASE, Web of Science, and the Cochrane Library were searched to gather clinical studies regarding the use of AP and EN techniques in the treatment of nonunion following intramedullary nailing of lower extremity long bones. The search was conducted up until May 2023. The original studies underwent an independent assessment of their quality, a process conducted utilizing the Newcastle-Ottawa scale. Data were retrieved from these studies, and meta-analysis was executed utilizing Review Manager 5.3. RESULTS: This meta-analysis included 8 studies involving 661 participants, with 305 in the AP group and 356 in the EN group. The results of the meta-analysis demonstrated that the AP group exhibited a higher rate of union (odds ratio: 8.61, 95% confidence intervals (CI): 4.12 - 17.99, p < 0.001), shorter union time (standardized mean difference (SMD): -1.08, 95% CI: -1.79 - -0.37, p = 0.003), reduced duration of the surgical procedure (SMD: -0.56, 95% CI: -0.93 - -0.19, p = 0.003), less bleeding (SMD: -1.5, 95% CI: -2.81 - -0.18, p = 0.03), and a lower incidence of complications (relative risk: -0.17, 95% CI: -0.27 - -0.06, p = 0.001). In the subgroup analysis, the time for union in the AP group in nonisthmal and isthmal nonunion of lower extremity long bones was shorter compared to the EN group (nonisthmal SMD: -1.94, 95% CI: -3.28 - -0.61, p < 0.001; isthmal SMD: -1.08, 95% CI: -1.64 - -0.52, p = 0.002). CONCLUSION In the treatment of nonunion in diaphyseal fractures of the long bones in the lower extremity, the AP approach is superior to EN, both intraoperatively (with reduced duration of the surgical procedure and diminished blood loss) and postoperatively (with an elevated union rate, shorter union time, and lower incidence of complications). Specifically, in the management of nonunion of lower extremity long bones with non-isthmal and isthmal intramedullary nails, AP demonstrated shorter union time in comparison to EN.
Humans ; Bone Nails/adverse effects* ; Bone Plates/adverse effects* ; Femoral Fractures/surgery* ; Fracture Fixation, Intramedullary/methods* ; Fractures, Ununited/surgery* ; Lower Extremity/injuries*

PURPOSE: We carried out the study aiming to explore and analyze the risk factors, the distribution of pathogenic bacteria, and their antibiotic-resistance characteristics influencing the occurrence of surgical site infection (SSI), to provide valuable assistance for reducing the incidence of SSI after traumatic fracture surgery. METHODS: A retrospective case-control study enrolling 3978 participants from January 2015 to December 2019 receiving surgical treatment for traumatic fractures was conducted at Tangdu Hospital of Air Force Medical University. Baseline data, demographic characteristics, lifestyles, variables related to surgical treatment, and pathogen culture were harvested and analyzed. Univariate analyses and multivariate logistic regression analyses were used to reveal the independent risk factors of SSI. A bacterial distribution histogram and drug-sensitive heat map were drawn to describe the pathogenic characteristics. RESULTS: Included 3978 patients 138 of them developed SSI with an incidence rate of 3.47% postoperatively. By logistic regression analysis, we found that variables such as gender (males) (odds ratio (OR) = 2.012, 95% confidence interval (CI): 1.235 - 3.278, p = 0.005), diabetes mellitus (OR = 5.848, 95% CI: 3.513 - 9.736, p < 0.001), hypoproteinemia (OR = 3.400, 95% CI: 1.280 - 9.031, p = 0.014), underlying disease (OR = 5.398, 95% CI: 2.343 - 12.438, p < 0.001), hormonotherapy (OR = 11.718, 95% CI: 6.269 - 21.903, p < 0.001), open fracture (OR = 29.377, 95% CI: 9.944 - 86.784, p < 0.001), and intraoperative transfusion (OR = 2.664, 95% CI: 1.572 - 4.515, p < 0.001) were independent risk factors for SSI, while, aged over 59 years (OR = 0.132, 95% CI: 0.059 - 0.296, p < 0.001), prophylactic antibiotics use (OR = 0.082, 95% CI: 0.042 - 0.164, p < 0.001) and vacuum sealing drainage use (OR = 0.036, 95% CI: 0.010 - 0.129, p < 0.001) were protective factors. Pathogens results showed that 301 strains of 38 species of bacteria were harvested, among which 178 (59.1%) strains were Gram-positive bacteria, and 123 (40.9%) strains were Gram-negative bacteria. Staphylococcus aureus (108, 60.7%) and Enterobacter cloacae (38, 30.9%) accounted for the largest proportion. The susceptibility of Gram-positive bacteria to Vancomycin and Linezolid was almost 100%. The susceptibility of Gram-negative bacteria to Imipenem, Amikacin, and Meropenem exceeded 73%. CONCLUSION Orthopedic surgeons need to develop appropriate surgical plans based on the risk factors and protective factors associated with postoperative SSI to reduce its occurrence. Meanwhile, it is recommended to strengthen blood glucose control in the early stage of admission and for surgeons to be cautious and scientific when choosing antibiotic therapy in clinical practice.
Humans ; Surgical Wound Infection/epidemiology* ; Male ; Female ; Risk Factors ; Retrospective Studies ; Middle Aged ; Adult ; Case-Control Studies ; Fractures, Bone/surgery* ; Aged ; Drug Resistance, Bacterial ; Logistic Models ; Anti-Bacterial Agents/therapeutic use* ; Incidence ; Bacteria/drug effects*

As an important trace element, iron is involved in a variety of physiological processes. In recent years, studies have found that the occurrence and development of tumors are closely related to abnormal iron metabolism, and the mode of action is obviously heterogeneous. Tumor cells need more iron to promote their survival and proliferation, but iron overload can also have adverse effects on tumor cells, such as ferroptosis. Ferroptosis is a special regulatory mechanism of cell death, which is different from other regulated cell death pathways. It mainly induces cell death through excessive accumulation of iron-dependent lipid peroxide and reactive oxygen species (ROS). Recent studies have found that in the blood system, tumor cells of lymphoma and multiple myeloma (MM) are more sensitive to ferroptosis and affect disease progression through a variety of mechanisms. In this review, the mechanisms of ferroptosis in some subtypes of lymphoma and MM are described in detail, and the correlation between ferroptosis of hematological tumor cells and the occurrence and development of hematological tumors is revealed, aiming to provide new ideas for the treatment of these hematological diseases.
Humans ; Iron/metabolism* ; Ferroptosis ; Multiple Myeloma/metabolism* ; Lymphoma/metabolism* ; Reactive Oxygen Species/metabolism* ; Lymphocytes

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Objective To construct a mammography image classification assistant system suitable for Chinese population,and explore the potential of artificial intelligence technology to assist early screening of breast cancer in China.Methods Curated breast imaging subset of digital database for screening mammography(CBIS-DDSM),Mammographic image analysis society database(MIAS)and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature.The model was also tested on the Chinese breast mammography database(CBMD)provided by Huajiao Technology Co.,Ltd,and the performance was compared.Aiming at the problem that the Chinese population data are not ideal in the performance test of the open dataset training model,an optimization strategy based on the sliding window adjustment mechanism was implemented in combination with the characteristics of Chinese population data.Then a two-stage migration learning method was designed to improve the overall performance of the model,and then development of our system was carried out.Results With the sliding window adjustment mechanism and the CBMD training model after two-stage transfer learning,the accuracy of our developed system was improved from 0.50 of the open datasets to 0.80,precision from 0.54 to 0.82,sensitivity from 0.52 to 0.80,F1 value from 0.52 to 0.80,and AUC value from 0.51 to 0.89 based on the Chinese population dataset as the test set.Conclusion Through the introduction of sliding window adjustment mechanism and two-stage migration learning strategy,the performance of the breast molybdenum target image classification model has been significantly improved in the Chinese population dataset,and our system primarily achieves the purpose of assisting the classification of breast molybdenum target images for the Chinese population.

This research aimed to comprehensively understand the prevalence of mutation in drug-resistant molecular markers of imported Plasmodium vivax in Chongqing,the Pvmdr1,Pvdhps,Pvdhfr,Pvcrt-o and Pvk12 genes of Plasmodium vivax were systematically analyzed.Blood samples were collected from imported Plasmodium vivax-infected patients in Chongqing between 2011 and 2022.The Pvmdr1,Pvdhps,Pvdhfr,Pvcrt-o,and Pvk12 genes were amplified and then sequenced to precisely evaluate gene mutations.Bioinformatics methods were employed to conduct in depth analysis of the mutation prevalence.Regarding the Pvdhfr gene,mutations at codons 50,57,58,61,99,117,and 199 were detected in 2.9%,23.5%,76.4%,23.53%,2.9%,82.3%,and 5.88%of the samples,respectively.The double-mutant haplotype S58R/S117N was the most prevalent,accounting for 50%,followed by the quadruple-mutant haplotype F57L/S58R/T61M/S117T,which accounted for 11.76%.Among the four types of tandem-repeat variations of Pvdhfr,the wild-type was the most common,and the insertion type was a novel discovery in this study.For the Pvdhps gene,the prevalence among mutation genotypes was relatively low.The single-mutant genotype was dominant,constituting 27.03%.The prevalence of Pvmdr1 mutations at codons 958 and 1076 was 100%and 89.19%,respectively.Among the 37 successfully sequenced samples,K10 insertion was detected in only 8 cases(22.22%).Notably,no non-synonymous mutations of Pvk12 were identified in this study.The cases in this study were imported from various countries of origin.Novel tandem-repeat variation tyres of Pvdhfr and new mutation sites of Pvdhps were identifide,thus enriching the mutation information of imported Plasmodium vivax resistance molecular markers in China.

Objective To investigate the differences in BMD,T-scores,lumbar HU values,and modified VBQ scores in patients with thoracolumbar fractures,analyze their correlations,and evaluate their predictive efficacy for thoracolumbar fractures.Methods Patients with thoracolumbar fragility fractures and hospitalized in the Department of Orthopedics at the Second Affiliated Hospital of Kunming Medical University from January 2022 to March 2025 were retrospectively enrolled.Among them,132 eligible patients were divided into the fracture group(n=63)and the non-fracture group(n=69).BMD and T-scores of L1～L4 vertebrae were measured via DEXA,lumbar HU values were obtained from CT scans,and modified VBQ scores were calculated using lumbar MRI.Intergroup comparisons were performed using independent samples t-tests.Pearson's correlation analysis was used to assess the relationships among BMD,T-scores,HU values,and modified VBQ scores.Receiver operating characteristic(ROC)curve analysis was conducted to evaluate their predictive performance for thoracolumbar fractures.Results The fracture group exhibited significantly lower mean BMD,T-scores,and HU values in L1～L4 compared to the non-fracture group,while modified VBQ scores were significantly higher(P<0.001).Correlation analysis revealed a significant positive correlation between BMD,T-scores,and HU values in L1～L4,whereas all three parameters showed a significant negative correlation with modified VBQ scores(P<0.001).The AUC values for predicting thoracolumbar fractures were 0.826(T-score),0.836(BMD),0.759(HU value),and 0.875(modified VBQ score),with optimal cutoff thresholds of-1.65(T-score),0.836 g/cm2(BMD),68.4(HU value),and 3.01(modified VBQ score),respectively.Conclusion BMD,T-scores,HU values,and modified VBQ scores in L1～L4 vertebrae are significantly correlated and can serve as the predictive indicators for thoracolumbar fractures.Among them,the modified VBQ score demonstrates the best predictive performance,making it a valuable auxiliary tool for assessing the vertebral bone quality.

Genetics,which provides important theoretical knowledge for the cultivation of students majo-ring in biology,is a discipline that studies the law of biological heredity and variation.In the era of high-ly advanced information technology,the blended online and offline teaching model has progressively been integrated into university classrooms,which seamlessly merges offline teaching with"Internet+"and greatly improves the outcomes and effectiveness of student learning and teacher instruction.Taking the genetics course as a platform,this paper first examines the complementary features of online and offline teaching methods.Then,the genetic teaching model that was carried out through various online platforms and resources were designed and optimized from purely online instruction and blended online-offline in-struction respectively.The assessment and evaluation methodologies were also enhanced.The findings of the investigation on the impact of teaching practices showed that a notable enhancement in students'en-thusiasm for learning genetic courses was achieved.This was reflected in the fact that an increasing num-ber of students selected genetic-related topics in science and innovation competitions.Meanwhile,com-pared with the non-implementation of blended teaching reform,students'academic performance in genet-ics courses has also been significantly improved,with a total score of about 5-6 points.The implementa-tion of the innovative blended teaching model will further enhance the efficiency of classroom teaching in-novation and talent training.

This study was aimed at providing basic data for the control and prevention of Yersinia enterocolitica(Ye)infections.Ye isolates from stool samples collected from patients with diarrhea in a Beijing district between January 2019 and June 2024 were studied.Basic patient information and stool samples were collected,and quantitative polymerase chain reaction(qPCR)was applied to enriched cultures.Further analyses included virulence gene detection,whole-genome sequencing,and drug resistance detection.The detection rate of Ye was 0.76%(11/1 439),according to culture methods,thus yielding 12 Ye strains from distinct patients:11 isolated during the study period and 1 from 2017.The 12 Ye positive patients were 6-41 years of age,and their clinical presentations predominantly featured watery stools(66.67%,8/12)and loose stools(33.33%,4/12).The frequencies of nausea,vomiting,and fever were 41.67%(5/12),41.67%(5/12),and 8.33%(1/12),respectively.The drug resistance rates of Ye to TET,AMP,and NAL were 50.00%(6/12),33.33%(4/12),and 25.00%(3/12),respectively.One Ye strain exhibited multidrug resistance to ETP,MEM,TET,CIP,NAL,and AMP.According to qPCR detection of five common virulence genes,two Ye strains were identified as ystA+/ystB-type(ystA+/ystB-/ail+/yadA+/virF+),whereas ten strains were identified as ystA-/ystB+type(ystA-/ystB+/ail-/yadA-/virF-).VFDB database analysis based on genome sequences indicated that 12 Ye strains carried an average of 11 key virulence genes associated with adhesion,invasion,protease activity,and flagellar movement,and predicted 106 virulence genes and 12 virulence gene profiles.Only the two ystA+/ystB-Ye strains contained elements related to the TTSS and ABC transporter function.Detection of ystA-/ystB+Ye in stool isolation and culture of diarrhea cases might potentially have been missed in some cases,thus highlighting the importance of fluorescence PCR screening of fecal growth solutions to enhance isolation efficiency.Moreover,our findings revealed the genetic diversity of Ye isolated from diarrhea cases,thereby indicating the presence of multiple types of virulence genes within this pathogen.