Objective: To investigate the incidence trend and epidemic characteristics of notifiable infectious diseases in Nanjing City from 2004 to 2022, so as to provide the basis for improving the prevention, control, and monitoring strategies of infectious diseases. Methods: Data pertaining to notifiable infectious diseases reported in Nanjing City from 2004 to 2022 were retrieved from the Infectious Disease Surveillance System of Chinese Disease Prevention and Control Information System. Infectious diseases were classified by law and transmission routes. Temporal distribution incidence of notifiable infectious diseases were descriptively analyzed. The trends in incidence of notifiable disease were analyzed using annual percent change (APC) and average annual percent change (AAPC). Results: A total of 33 types of notifiable infectious diseases with 505 275 cases were reported in Nanjing City from 2004 to 2022. The average annual reported incidence was 347.45/105, showing a decreasing trend from 2018 to 2022 (APC=-13.499%, P<0.05), and there was no significant trend overall (AAPC=-1.586%, P>0.05). A total of 203 235 cases of 25 types of class A and B notifiable infectious diseases were reported, with an average annual reported incidence of 139.75/100 000, showing an overall decreasing trend (AAPC=-4.954%, P<0.05). Eight types of class C notifiable infectious diseases with 302 042 cases were reported, with an average annual reported incidence of 207.69/100 000. The reported incidence showed an increasing trend from 2004 to 2018 (APC=10.117%, P<0.05), and a decreasing trend from 2018 to 2022 (APC=-27.467%, P<0.05). There was no trend overall (AAPC=-0.360%, P>0.05). The reported incidence of blood-borne and sexually transmitted infectious diseases was the highest in class A and B infectious diseases, with an average annual reported incidence of 69.88/100 000, which was at a high epidemic level throughout the year, except February. The reported incidence of respiratory infectious diseases was 51.30/100 000, with a high reported incidence in April and December. The reported incidence of intestinal infectious diseases was the highest (178.06/100 000) in class C infectious diseases, with a high reported incidence in June and November. Conclusions The reported incidence of notifiable infectious diseases in Nanjing City was generally stable from 2004 to 2022. The peak incidence of respiratory infectious diseases occurred in winter and spring, and that of intestinal infectious diseases was in summer and autumn. It is necessary to strengthen the surveillance and intervention of blood-borne and sexually transmitted infectious diseases, respiratory infectious diseases, and intestinal infectious diseases to reduce the risk of infectious diseases.

Ulcerative colitis (UC) is a chronic inflammatory disease of unknown etiology, primarily involving the colon and rectum. Characterized by recurrent episodes and prolonged disease course, UC requires dynamic monitoring and evaluation. Current commonly used methods for disease monitoring and assessment include C-reactive protein (CRP), fecal calprotectin (FC), and colonoscopy. However, CRP lacks specificity, FC fails to effectively differentiate UC from Crohn's disease, while colonoscopy involves complex bowel preparation, is invasive, and suffers from poor patient compliance. Therefore, there is an urgent clinical need to identify non-invasive biological markers with high sensitivity and specificity for the diagnosis and evaluation of UC. Recent studies have demonstrated that anti-integrin αvβ6 autoantibodies hold significant value in the diagnosis, differential diagnosis, and disease assessment of UC, potentially emerging as an important clinical biomarker. This article reviews the research progress of anti-integrin αvβ6 autoantibodies in UC for reference.

BACKGROUND:There is a significant correlation between sperm DNA fragmentation index and fertilization,embryonic development potential,embryo implantation,miscarriage,and offspring safety.However,its clinical reference value is affected by many factors,resulting in extremely limited clinical significance.This study took live birth as the outcome,corrected other confounding factors through propensity score matching,constructed the best clinical cutoff value of sperm DNA fragmentation index and live birth,and conducted internal and external tests on it,which has good predictive value and clinical application efficiency. OBJECTIVE:To investigate the reference threshold and offspring short-term security of in vitro fertilization-embryo transfer sperm DNA fragmentation index based on live birth. METHODS:A total of 1 921 patients who received in vitro fertilization and embryo transfer in Changzhou Maternal and Child Health Area Hospital from May 2019 to May 2021 were selected.On the basis of tendency matching tolerance of 0.02 and propensity score matching of 1:1,540 cases were successfully matched in each live birth group and non-live birth group,and the model group was established.135 patients who received in vitro fertilization and embryo transfer in Nanxishan Hospital of Guangxi Zhuang Autonomous Region were selected as the external validation group.The optimal clinical cutoff value of sperm DNA fragmentation index for live birth was investigated by the receiver operating characteristic curve.The accuracy and clinical application efficacy of the cutoff value were evaluated by restricted cubic spline curve,standard curve,clinical decision curve,clinical impact curve and internal and external validation tests. RESULTS AND CONCLUSION:(1)The DNA fragmentation index of sperm in the non-live birth group was significantly higher than that in the live birth group and had a significant negative correlation with live birth(r=-0.444,P<0.001).(2)Receiver operating characteristic curve results showed that the optimal cut-off value of DNA fragmentation index for live birth was 24.33%;the area under the curve was 0.775(0.746,0.804);the specificity was 72.60%;the sensitivity was 78.90%,and the accuracy was 75.70%.(3)Restricted cubic spline curve fitting the results of Logistic regression showed that when the sperm DNA fragmentation index was greater than 24.57%,the risk of clinical non-live birth increased.(4)The probability of Logistic regression analysis results showed that sperm DNA fragmentation index was a risk factor for live birth[OR(95%CI)=0.916(0.904,0.928),P<0.001],and when sperm DNA fragmentation index was greater than 27.78%,the probability of clinical live birth would be less than 50%.With the increase of sperm DNA fragmentation index by 1 unit,the probability of a live birth fell by 8.4%.(5)Internal and external to the validation of the clinical cutoff value showed that the cutoff point had certain clinical predictive value and accuracy.(6)Clinical decision curve and clinical impact curve results exhibited that the prediction model based on the clinical cut-off value had the maximum clinical net benefit value when the threshold probability was 0.22-0.73,and the ratio of loss to gain within the threshold probability range was always less than 1,which confirmed that the prediction model had good clinical application effectiveness.(7)The results of sperm DNA fragmentation index and offspring short-term security analysis showed that sperm DNA fragmentation index had no significant differences with preterm birth,body weight,deformity and sex.(8)These findings suggest that the optimal clinical cut-off value of sperm DNA fragmentation index for in vitro fertilization-embryo transfer live birth was 24.33%.The established clinical prediction model has good differentiation,accuracy and clinical application effectiveness.Sperm DNA fragmentation index has no significant impact on offspring short-term security,but large samples and long-term follow-up evaluation are still needed.

Ulcerative colitis (UC) is a chronic inflammatory disease of unknown etiology, primarily involving the colon and rectum. Characterized by recurrent episodes and prolonged disease course, UC requires dynamic monitoring and evaluation. Current commonly used methods for disease monitoring and assessment include C-reactive protein (CRP), fecal calprotectin (FC), and colonoscopy. However, CRP lacks specificity, FC fails to effectively differentiate UC from Crohn's disease, while colonoscopy involves complex bowel preparation, is invasive, and suffers from poor patient compliance. Therefore, there is an urgent clinical need to identify non-invasive biological markers with high sensitivity and specificity for the diagnosis and evaluation of UC. Recent studies have demonstrated that anti-integrin αvβ6 autoantibodies hold significant value in the diagnosis, differential diagnosis, and disease assessment of UC, potentially emerging as an important clinical biomarker. This article reviews the research progress of anti-integrin αvβ6 autoantibodies in UC for reference.

Objective:To analyze and evaluate the current situation of falls in the frail elderly population, and to provide a reliable basis for formulating measures for fall prevention.Methods:CNKI, VIP Database, Wanfang Database, China Biomedical Database, PubMed, Embase, Web of Science, CINAHL, Cochrane Library, Sinomed were searched, and cross-sectional studies on falls in the frail elderly population were searched, and the search time limit was established until June 30, 2023. Two review authors independently screened studies, extracted data, assessed the risk of bias of included studies, and Meta-analyses were performed using Stata 16.0 software and RevMan5.4.Results:A total of 12 cross-sectional studies with a total sample size of 4 597 cases were included. Meta-analysis showed that the incidence of falls in the frail elderly population was 39.9% (1 834/4 597). The results of subgroup analysis showed that there was significant difference in the female, age, chronic pain, body mass index, live alone ( P<0.05). The incidence of falls in male and female was 25.9%(640/2 471) and 40.7%(1 005/2 471), respectively. The incidence of falls in the aged 60-69, 70-79 and over 80 years old was 25.7%(470/1 831), 30.6% (560/1 831) and 46.8%(857/1 831), respectively. The incidence of falls in body mass index < 18.5, 18.5-24.0, >24.0 kg/m 2 was 12.29%(63/512), 9.58%(49/512) and 19.89%(101/512), respectively. The incidence of falls in with or without chronic pain was 33.55%(181/541) and 16.03%(87/541), respectively. The incidence of falls in living alone and not living alone was 32.3%(524/1 624) and 16.9%(274/1 624), respectively. Conclusions:The incidence of falls in the frail elderly population is at a relatively high level. Women, older adults, overweight, have chronic pain and live alone have a higher incidence of falls.

Objective:To study the expression levels of long non-coding RNA(lncRNA)H19 and insulin-like growth factor 2(IGF2)genes in breast cancer tissue,and to analyze their imprinting status.Methods:Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression levels of H19 and IGF2 mRNA in breast cancer tissue and adjacent tissue,and the differences in the expressions of H19 and IGF2 mRNA in breast cancer tissue and adjacent tissue were analyzed;single nucleotide polymorphism(SNP)was used to distinguish the allele expression status(homozygous or heterozygous).For heterozygous IGF2(Apa Ⅰ site)or H19(Alu Ⅰ site)in genomic DNA,imprinting analysis was used to detect the imprinting status of H19 and IGF2 in breast cancer tissue,that were maintenance of imprinting(MOI)or loss of imprinting(LOI);the relationship between the expressions of H19 and IGF2 and molecular subtypes in breast cancer tissue were also analyzed.Results:The RT-qPCR results showed that the expression levels of H19 and IGF2 mRNA in breast cancer tissue were higher than those in adjacent tissue(P＜0.01).There was a positive correlation between the expression levels of H19 mRNA and IGF2 mRNA(r=0.567,P＜0.01).Compared with adjacent tissue,the expression levels of H19 mRNA in cancer tissue of the breast cancer patients with various molecular subtypes were increased(P＜0.05 or P＜0.01).LOI was observed in both H19 and IGF2 in breast cancer tissue,and the incidence of IGF2 LOI was 36.7％,which was higher than that of H19 LOI(4.3％).The RT-qPCR results showed that the expression level of IGF2 mRNA in breast cancer tissue in IGF2 LOI group was significantly higher than that in IGF2 MOI group(P＜0.01).Conclusion:The expression levels of H19 and IGF2 mRNA in breast cancer tissue are significantly higher than those in adjacent tissue.The incidence of IGF2 LOI is higher than that of H19 LOI,and IGF2 LOI may be one of the key factors in the pathogenesis of breast cancer.

Objective     To evaluate the robustness of cardiovascular meta-analysis with use of fragility index. Methods     By searching PubMed, EMbase, and Web of Science databases from 2018 to 2022, relevant literature on cardiovascular meta-analysis was systematically collected and the fragility indexes were calculated; Spearman correlation analysis was used to explore the relationship between fragility index and sample size, total number of events, effect size and its confidence interval width. Results     A total of 212 meta-analyses from 29 articles were included, with a median fragility index of 11 (5, 25), a median sample size of 10 301 (3 384, 48 330), and a median total number of events of 360 (129, 1 309). Most meta-analyses chose relative risk as the effect measure (179/212), and chose Mantel-Haenszel method (102/212) and random effects model (153/212). The fragility index was positively correlated with the sample size (rs=0.56, P<0.05) and the total number of events (rs=0.61, P<0.05), and negatively correlated with confidence interval width of the effect size (rs=−0.52, P<0.05). No statistically significant results were obtained in the correlation between the fragility index and effect size. Conclusion     The fragility indexes of cardiovascular meta-analyses published in comprehensive journals of high impact factors and professional cardiovascular journals are generally low, and therefore lack robustness. Fragility index is suggested to be reported in medical researches, assisting in explaining the P-value.

BACKGROUND:Previous research by the research team found that domestically produced porous tantalum is beneficial for early adhesion and proliferation of MG63 cells,and can be used as a scaffold material for bone tissue engineering. OBJECTIVE:To investigate the effect of domestic porous tantalum modified by osteogenic induction factor slow-release system on the adhesion,proliferation,and differentiation of MG63 cells. METHODS:Osteogenic induction factor slow-release system was constructed by adding 15%volume fraction of osteogenic factor solution to poly(lactic-co-glycolic-acid)gel.The passage 3 MG63 cells were inoculated on a porous tantalum surface(control group),porous tantalum surface coated with poly(lactic-co-glycolic-acid)copolymer gel(gel group),and porous tantalum surface coated with osteoblastic induction factor slow-release system(slow-release system group),and co-cultured for 5 days.The surface cytoskeleton of the material was observed by phalloidine staining.Cell proliferation was detected by flow cytometry.Western blot assay and RT-qPCR were used to detect the protein and mRNA expressions of type Ⅰ collagen,osteopontin,and RUNX-2 on the surface cells of the material. RESULTS AND CONCLUSION:(1)Phalloidine staining showed that MG63 cells adhered to and grew on the surface and inside of the three groups of porous tantalum,and the matrix secreted by the cells covered the surface of the material.(2)Flow cytometry showed that the cell proliferation in the slow-release system group was faster than that in the control group and the gel group(P<0.05).(3)Western blot assay and RT-qPCR showed that the protein and mRNA expressions of type Ⅰ collagen,osteopontin,and RUNX-2 in the slow-release system group were higher than those in the control group and gel group(P<0.05).(4)The results showed that the domestic porous tantalum modified by the osteogenic induction factor slow-release system was beneficial to the adhesion,proliferation,and differentiation of MG63 osteoblasts.

In December 2022,ESCMID/EUCIC jointly issued the Clinical Practice Guidelines for perioperative antimi-crobial prophylaxis in patients colonized with multidrug-resistant Gram-negative bacteria(MDR-GNB).The guideline was based on systematically evaluating of published studies on perioperative antimicrobial prophylaxis in patients colonized with MDR-GNB.The guideline elaborated on the necessity and timing of screening for MDR-GNB colonization,perioperative antimicrobial prophy-laxis selection,and the timing of dosing,and it provided evidence-based recommendations based on existing studies.This paper in-terpreted the guidelines based on the latest research progress at home and abroad,aiming to reduce the occurrence of surgical site infections in patients colonized with MDR-GNB and benefit patients.

Objective:To investigate the value of CT radiomic model based on analysis of primary gastric cancer and the adipose tissue outside the gastric wall beside cancer in differentiating stage T1-2 from stage T3-4 gastric cancer.Methods:This study was a case-control study. Totally 465 patients with gastric cancer treated in Affiliated People′s Hospital of Jiangsu University from December 2011 to December 2019 were retrospectively collected. According to postoperative pathology, they were divided into 2 groups, one with 150 cases of T1-2 tumors and another with 315 cases of T3-4 tumors. The cases were divided into a training set (326 cases) and a test set (139 cases) by stratified sampling method at 7∶3. There were 104 cases of T1-2 stage and 222 cases of T3-4 stage in the training set, 46 cases of T1-2 stage and 93 cases of T3-4 stage in the test set. The axial CT images in the venous phase during one week before surgery were selected to delineate the region of interest (ROI) at the primary lesion and the extramural gastric adipose tissue adjacent to the cancer areas. The radiomic features of the ROIs were extracted by Pyradiomics software. The least absolute shrinkage and selection operator was used to screen features related to T stage to establish the radiomic models of primary gastric cancer and the adipose tissue outside the gastric wall beside cancer. Independent sample t test or χ2 test were used to compare the differences in clinical features between T1-2 and T3-4 patients in the training set, and the features with statistical significance were combined to establish a clinical model. Two radiomic signatures and clinical features were combined to construct a clinical-radiomics model and generate a nomogram. The area under the receiver operating characteristic curve (AUC) was used to evaluate the efficacy of each model in differentiating stage T1-2 from stage T3-4 gastric cancer. The calibration curve was used to evaluate the consistency between the T stage predicted by the nomogram and the actual T stage of gastric cancer. And the decision curve analysis was used to evaluate the clinical net benefit of treatment guided by the nomogram and by the clinical model. Results:There were significant differences in CT-T stage and CT-N stage between T1-2 and T3-4 patients in the training set ( χ2=10.59, 15.92, P=0.014, 0.001) and the clinical model was established. After screening and dimensionality reduction, the 5 features from primary gastric cancer and the 6 features from the adipose tissue outside the gastric wall beside cancer established the radiomic models respectively. In the training set and the test set, the AUC values of the primary gastric cancer radiomic model were 0.864 (95% CI 0.820-0.908) and 0.836 (95% CI 0.762-0.910), and the adipose tissue outside the gastric wall beside cancer radiomic model were 0.782 (95% CI 0.731-0.833) and 0.784 (95% CI 0.702-0.866). The AUC values of the clinical model were 0.761 (95% CI 0.705-0.817) and 0.758 (95% CI 0.671-0.845), and the nomogram were 0.876 (95% CI 0.835-0.917) and 0.851 (95% CI 0.781-0.921). The calibration curve reflected that there was a high consistency between the T stage predicted by the nomogram and the actual T stage in the training set ( χ2=1.70, P=0.989). And the decision curve showed that at the risk threshold 0.01-0.74, a higher clinical net benefit could be obtained by using a nomogram to guide treatment. Conclusions:The CT radiomics features of primary gastric cancer lesions and the adipose tissue outside the gastric wall beside cancer can effectively distinguish T1-2 from T3-4 gastric cancer, and the combination of CT radiomic features and clinical features can further improve the prediction accuracy.