Diabetes is a common chronic non-infectious disease. Diabetic patients not only suffer from metabolic disorders, but are also prone to immune deficiencies and are at a higher risk of being infected with human papillomavirus (HPV). Many studies at home and abroad have shown that the HPV infection rate of patients with diabetes is higher than that of non-diabetic patients. Patients with diabetes can benefit from HPV vaccination, and the tolerance is good. HPV vaccination is recommended for diabetic patients. This article reviews the research on diabetes, HPV infection, and HPV vaccine, which will provide references for HPV vaccination in diabetic patients.

Objectives:To explore the risk factors of major adverse cardiovascular events (MACEs) in immune checkpoint inhibitor (ICI) related myocarditis and establish a predictive model.Methods:This was a retrospective case-control study. Tumor patients diagnosed with ICI related myocarditis in the First Affiliated Hospital of Guangzhou Medical University from May 2019 to August 2023 were selected and divided into non-MACE group and MACE group based on whether MACE occurred. Clinical and imaging data of the two groups were collected. Univariate and multivariate logistic regression models were used to analyze the risk factors for MACE in patients with ICI related myocarditis. According to the results of multivariate logistic regression analysis, R 4.1.0 software was used to construct the MACE risk prediction model for these patients and draw a nomogram. The receiver operating characteristic curve was used to evaluate the prediction ability of the prediction model.Results:A total of 35 patients with ICI related myocarditis, aged (63.9±8.2) years, were included, including 28 males (80%). There were 18 patients in the non-MACE group and 17 patients in the MACE group. Multivariate logistic regression analysis showed that elevated neutrophil to lymphocyte ratio ( OR=1.115, 95% CI 1.007-1.235, P=0.036) and ST-T segment changes ( OR=24.942, 95% CI 1.239-502.194, P=0.036) were risk factors for MACE in patients with ICI related myocarditis. The receiver operating characteristic curve indicated that the area under the curve of the prediction model was 0.967 (95% CI 0.916-1.000, P<0.001), with a sensitivity of 88.2% and specificity of 100%, demonstrating good predictive ability. Conclusion:Elevated neutrophil to lymphocyte ratio and ST-T segment change are independent risk factors for MACE in patients with ICI related myocarditis. Risk prediction model based on the above two indicators can assist in the early identification and individualized intervention of ICI related myocarditis patients.

BACKGROUND:The preoperative planning of traditional X-ray films is often inaccurate,which can lead to some intraoperative and postoperative complications,increase the operation time and intraoperative blood loss,and to some extent affect the surgical outcome of total hip arthroplasty. OBJECTIVE:To investigate the accuracy and effectiveness of artificial intelligence preoperative planning in total hip arthroplasty. METHODS:Sixty patients who underwent primary total hip arthroplasty on the affected side were selected.30 of them used artificial intelligence 3D preoperative planning(trial group)and 30 used conventional X-ray film 2D preoperative planning(control group),and there were no statistically significant differences between the two groups in terms of gender,age,condition and other general data(P>0.05).The actual intraoperative prosthesis placement and preoperative planning prosthesis matching,intraoperative operation time,intraoperative blood loss,bilateral femoral eccentric distance difference,bilateral joint eccentric distance difference and bilateral lower limb length difference,and Harris score at 3 months after operation were compared between the two groups,and the accuracy and application effect of the two preoperative plans were analyzed. RESULTS AND CONCLUSION:(1)Patients in both groups were followed up for 4-6 months postoperatively.One patient in the control group had a posterior dislocation of the prosthesis at 5 days postoperatively,which recovered after performing manual repositioning without re-dislodgement.The rest of the patients did not have postoperative complications or postoperative death.(2)Complete matching rate of the prosthesis on the acetabular side and femoral side was significantly better in the trial group than that in the control group(P<0.05).(3)Operation time and intraoperative blood loss were significantly less in the trial group than those in the control group(P<0.05).(4)The difference in bilateral lower limb length between the two groups was statistically significant(P<0.05),and the difference in bilateral femoral eccentric distance and bilateral joint eccentric distance was not statistically significant(P>0.05).(5)Harris score of patients in the trial group was significantly higher than that in the control group 3 months after operation(P<0.05).(6)These results confirm that compared with traditional film planning,artificial intelligence preoperative planning can predict the prosthesis type more accurately,shorten the operation time,reduce intraoperative blood loss,diminish the occurrence of postoperative bilateral lower limb inequality,and accelerate postoperative recovery.

Objective To establish an allogeneic rat model of endometriosis and to evaluate the effects of gonadotropin-releasing hormone (GnRH) agonist GenSci006 on experimental rat endometriosis. Methods Endometrium from SPF grade donor female SD rats were transplanted onto the abdominal wall of recipient female rats to construct an allogeneic endometriosis model. The rats undergoing sham surgery were divided into the sham group. Three weeks later, the length, width and height of the ectopic endometrium were measured, and the volume of the endometrium (V₁) was calculated before drug administration. The modeling rats were randomly divided into four groups: model group, triptorelin group (0.25 mg/kg), GenSci006-1 group (0.125 mg/kg) and GenSci006-2 group (0.25 mg/kg). Each group had 16 rats and received a single dose of the corresponding drug. The sham group and model group were administered an equal volume of solvent. Three weeks after administration, ectopic endometrium was measured to calculate the volume V₂ and inhibition rate. The effect of GenSci006 on rat uterus and ovarian tissues was assessed by comparing organ coefficients and changes in pathological sections. Enzyme-linked immunosorbent assay (ELISA) was used to measure the levels of serum estradiol (E₂), progesterone (P₄), follicle stimulating hormone (FSH), and luteinizing hormone (LH). Real-time fluorescent quantitative PCR was used to detect the expression of GnRH receptor (GnRHR) mRNA in the hypothalamus and pituitary. Western blot was used to detect the expression of estradiol receptor alpha (ERα), beta (ERβ) and progesterone receptor (PR) in ectopic endometrium. Results Three weeks after administration, compared with the model group, the body weight of rats in the triptorelin and GenSci006-2 groups significantly increased (P < 0.05), while the volume of ectopic endometrium significantly decreased (P < 0.05). Compared with the sham group, the model group showed no significant changes in uterine and ovarian organ coefficients or endometrial thickness (P > 0.05). Compared with the model group, the uterine organ coefficients and endometrial thickness were significantly reduced in the triptorelin and GenSci006-2 groups (P < 0.05). Compared with the sham group, the serum levels of E₂, P₄, FSH and LH in the model group showed no significant changes (P > 0.05). Compared with the model group, the ovarian organ coefficient and serum P₄ levels of rats in the Triptorelin, GenSci006-1, and GenSci006-2 groups were significantly reduced (P < 0.05), while the serum LH levels of rats in the GenSci006-1 group were significantly increased (P < 0.05). However, there were no significant changes in serum E₂ and FSH levels in each group (P > 0.05). Compared with the model group, the expression levels of GnRHR mRNA in the pituitary tissue of rats in the triptorelin and GenSci006-2 groups were significantly downregulated (P < 0.05), with no significantly changes in the hypothalamus (P > 0.05). There were no significant changes in the expression level of GnRHR mRNA in the hypothalamus or the protein levels of ERα, ERβ and PR in the ectopic endometrial tissue in any group (P > 0.05). Conclusion The allogeneic endometriosis rat model is a suitable animal model for screening and evaluating drugs for treating endometriosis. The volume of ectopic endometrium, inhibition rate, uterine and ovarian organ coefficients, and serum E₂ levels may serve as indicators for detecting drug efficacy.

AIM: To explore the risk factors of retinal detachment after stage II vitrectomy in patients with open ocular trauma.METHODS: Retrospective analysis. Totally 278 patients(278 eyes)with open ocular trauma who received stage II vitrectomy in the hospital were included from April 2020 to July 2023. According to the postoperative retinal detachment status, they were divided into detachment group(48 eyes)and non-detachment group(230 eyes). The basic clinical conditions of the two groups of patients were compared, and the factors affecting retinal detachment were analyzed.RESULTS: Univariate analysis revealed that there were statistical differences in wound length, injured area, surgical time after injury, and history of retinal detachment/lesion between the two groups(all P<0.05). Logistics multivariate regression analysis showed that wound length greater than 10 mm, surgical time after injury more than 1 wk, and history of retinal detachment/lesion were risk factors for retinal detachment in patients with open ocular trauma after stage II vitrectomy(all P<0.05).CONCLUSION: The occurrence of retinal detachment in patients with open ocular trauma after stage II vitrectomy is mainly related to the severity of trauma, surgical time after injury and history of ocular retinopathy. It is necessary to perform surgical treatment for patients as soon as possible.

Cancer is a major global health issue. Effective therapeutic strategies can prolong patients’ survival and reduce the costs of treatment. Drug repurposing, which identifies new therapeutic uses for approved drugs, is a promising approach with the advantages of reducing research costs, shortening development time, and increasing efficiency and safety. Disulfiram (DSF), a Food and Drug Administration (FDA)-approved drug used to treat chronic alcoholism, has a great potential as an anticancer drug by targeting diverse human malignancies. Several studies show the antitumor effects of DSF, particularly the combination of DSF and copper (DSF/Cu), on a wide range of cancers such as glioblastoma (GBM), breast cancer, liver cancer, pancreatic cancer, and melanoma. In this review, we summarize the antitumor mechanisms of DSF/Cu, including induction of intracellular reactive oxygen species (ROS) and various cell death signaling pathways, and inhibition of proteasome activity, as well as inhibition of nuclear factor-kappa B (NF-κB) signaling. Furthermore, we highlight the ability of DSF/Cu to target cancer stem cells (CSCs), which provides a new approach to prevent tumor recurrence and metastasis. Strikingly, DSF/Cu inhibits several molecular targets associated with drug resistance, and therefore it is becoming a novel option to increase the sensitivity of chemo-resistant and radio-resistant patients. Studies of DSF/Cu may shed light on its improved application to clinical tumor treatment.

Hip fracture in the elderly is characterized by high incidence, high disability rate, and high mortality and has been recognized as a public health issue threatening their health. Surgery is the preferred choice for the treatment of elderly patients with hip fracture. However, lower extremity deep venous thrombosis (DVT) has an extremely high incidence rate during the perioperative period, and may significantly increase the risk of patients′ death once it progresses to pulmonary embolism. In response to this issue, the clinical guidelines and expert consensuses all emphasize active application of comprehensive preventive measures, including basic prevention, physical prevention, and pharmacological prevention. In this prevention system, basic prevention is the basis of physical and pharmacological prevention. However,there is a lack of unified and definite recommendations for basic preventive measures in clinical practice. To this end, the Orthopedic Nursing Professional Committee of the Chinese Nursing Association and Nursing Department of the Orthopedic Branch of the China International Exchange and Promotive Association for Medical and Health Care organized relevant nursing experts to formulate Expert consensus on perioperative basic prevention for lower extremity deep venous thrombosis in elderly patients with hip fracture ( version 2024) . A total of 10 recommendations were proposed, aiming to standardize the basic preventive measures for lower extremity DVT in elderly patients with hip fractures during the perioperative period and promote their subsequent rehabilitation.

Objective:To understand the molecular epidemiological characteristics of unique recombinant forms (URFs) in newly reported HIV-1 patients in Hangzhou, and provide theoretical support for prevention and control of AIDS.Methods:The blood samples of newly-diagnosed HIV-1 infected cases who received no antiviral therapy from 2019 to 2023 were collected, pol gene was amplified by RT-PCR and nested PCR, followed by sequencing. The URFs were screened using phylogenetic tree, followed by recombinant analysis. Genetic distances between URFs sequences were calculated and molecular transmission networks were constructed. The calibrated population resistance program (CPR) was used to analyze transmissible drug-resistant mutations. Results:A total of 222(5.0%, 222/4 471) URFs pol gene sequence were obtained, and the recombination types were CRF01_AE/CRF07_BC (60.4%, 134/222), CRF01_AE/C (11.7%, 26/222), CRF01_AE/B (9.5%, 21/222), CRF01_AE/B/C (8.1%, 18/222), B/C (7.6%, 17/222) and CRF55_01B/CRF07_BC (2.7%, 6/222), respectively. 78.8% (175/222) were infected by men who have sex with man(MSM), whoes mean age was 31.3±10.5. The proportion of URFs increased from 4.0% (34/843) to 7.4% (60/807) from 2019 to 2023. Under the optimal gene distance threshold of 1.5%, the molecular network access rate was 49.5% (110/222), included 23 clusters. We found a large active transmission cluster with 39 cases mixed homosexual and heterosexual, the recombination types was CRF01_AE/CRF07_BC, and the average gene distance was 0.005. Prevalence of URFs transmissible resistance was 3.2% (7/222). Conclusions:URFs are mainly produced and transmitted in young MSM, which shows an increasing trend year by year. There is a large active transmission cluster required major attention and effective intervention to prevent further expansion. At the same time, the occurrence and transmission of URFs should be continuously monitored to understand the clusters and drug resistance dynamics.

To compare the effect of endoscopic submucosal dissection (ESD) and endoscopic pedicle ligation with nylon rope or metal clip followed by electrical resection on postoperative hemorrhage for thick colorectal pedicle polyps, clinical data of patients undergoing endoscopic polypectomy in Jiangsu Province Hospital (The First Affiliated Hospital with Nanjing Medical University) from January 2018 to November 2022 were retrospectively collected, and the patients were divided into ESD group and pre-ligation group according to different treatment methods. Postoperative bleeding data of the two groups were compared and analyzed. A total of 265 patients were included, including 124 in ESD group and 141 in pre-ligation group. There were no significant differences in gender, age, polyp sites, polyp diameter or pedicle diameter between the two groups ( P>0.05). The postoperative bleeding rate in the ESD group was significantly lower than that in the pre-ligation group [4.0% (5/124) VS 10.6% (15/141), χ2=4.126, P=0.042]. Compared with ESD group, more bleeding occurred in the left colon in the pre-ligation group, with statistically significant difference [40.0% (2/5) VS 93.3% (14/15), P=0.032]. The hospital stay was longer in the ESD group than that in the pre-ligation group (4.6±1.9 days VS 3.4±1.5 days, t=5.641, P<0.001). ESD is more effective than pre-ligation in reducing postoperative hemorrhage for coarse pedicle colorectal polyps, especially for those on distal colon.

Background/Aims: The accuracy of endosonographers in diagnosing gastric subepithelial lesions (SELs) using endoscopic ultrasonography (EUS) is influenced by experience and subjectivity. Artificial intelligence (AI) has achieved remarkable development in this field. This study aimed to develop an AI-based EUS diagnostic model for the diagnosis of SELs, and evaluated its efficacy with external validation. Methods: We developed the EUS-AI model with ResNeSt50 using EUS images from two hospitals to predict the histopathology of the gastric SELs originating from muscularis propria. The diagnostic performance of the model was also validated using EUS images obtained from four other hospitals. Results: A total of 2,057 images from 367 patients (375 SELs) were chosen to build the models, and 914 images from 106 patients (108 SELs) were chosen for external validation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the model for differentiating gastrointestinal stromal tumors (GISTs) and non-GISTs in the external validation sets by images were 82.01%, 68.22%, 86.77%, 59.86%, and 78.12%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in the external validation set by tumors were 83.75%, 71.43%, 89.33%, 60.61%, and 80.56%, respectively. The EUS-AI model showed better performance (especially specificity) than some endosonographers.The model helped improve the sensitivity, specificity, and accuracy of certain endosonographers. Conclusions We developed an EUS-AI model to classify gastric SELs originating from muscularis propria into GISTs and non-GISTs with good accuracy. The model may help improve the diagnostic performance of endosonographers. Further work is required to develop a multi-modal EUS-AI system.