OBJECTIVE To explore the main factors influencing the blood concentration of duloxetine， and provide a scientific basis for the individualized use of duloxetine. METHODS Retrospective analysis was conducted on 434 inpatients with depressive disorders at the First Hospital of Hebei Medical University， who were treated with duloxetine and underwent blood concentration monitoring between January 2022 and April 2024. The study examined the impact of various factors， including gender， age， body mass index （BMI）， gene phenotypes， combined medication， drug type （original/generic）， and genotyping results of gene single nucleotide polymorphism loci， on blood concentration and the concentration-to-dose （C/D） after dose adjustment. RESULTS The blood concentration of duloxetine was 76.65 （45.57， 130.31） ng/mL， and C/D was 0.96 （0.63， 1.60） ng·d/（mL·mg）. The blood concentration of duloxetine was positively correlated with the daily dose of administration （R2＝0.253 7， P＜0.001）. Blood concentration of duloxetine in 38.94% of patients exceeded the recommended range specified in the guidelines. Gender， age， BMI， combined use of CYP2D6 enzyme inhibitors， and CYP2D6 and CYP1A2 phenotypes had significant effects on C/D of duloxetine （P＜0.05）. CONCLUSIONS The patient’s age， gender， BMI， combined medication， and genetic phenotypes are closely related to the blood concentration of duloxetine.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

BACKGROUND: Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions. METHODS: Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location. Numbers and age-standardized rates were used to compare the disease burden between DKD-T1DM and DKD-T2DM among locations. Decomposition analysis was used to assess the potential drivers. Locally weighted scatter plot smoothing and Frontier analysis were used to estimate sociodemographic transitions of DKD disability-adjusted life years (DALYs). RESULTS: The DALYs due to DKD increased markedly from 1990 to 2021, with a 74.0% (from 2,227,518 to 3,875,628) and 173.6% (from 4,122,919 to 11,278,935) increase for DKD-T1DM and DKD-T2DM, respectively. In 2030, the estimated DALYs for DKD-T1DM surpassed 4.4 million, with that of DKD-T2DM exceeding 14.6 million. Notably, middle-sociodemographic index (SDI) quintile was responsible for the most significant DALYs. Decomposition analysis revealed that population growth and aging were major drivers for the increased DKD DALYs in most regions. Interestingly, the most pronounced effect of positive DALYs change from 1990 to 2021 was presented in high-SDI quintile, while in low-SDI quintile, DALYs for DKD-T1DM and DKD-T2DM presented a decreasing trend over the past years. Frontiers analysis revealed that there was a negative association between SDI quintiles and age-standardized DALY rates (ASDRs) in DKD-T1DM and DKD-T2DM. Countries with middle-SDI shouldered disproportionately high DKD burden. Kidney dysfunction (nearly 100.0% for DKD-T1DM and DKD-T2DM), high fasting plasma glucose (70.8% for DKD-T1DM and 87.4% for DKD-T2DM), and non-optimal temperatures (low and high, 5.0% for DKD-T1DM and 5.1% for DKD-T2DM) were common risk factors for age-standardized DALYs in T1DM-DKD and T2DM-DKD. There were other specific risk factors for DKD-T2DM such as high body mass index (38.2%), high systolic blood pressure (10.2%), dietary risks (17.8%), low physical activity (6.2%), lead exposure (1.2%), and other environmental risks. CONCLUSIONS DKD markedly increased and varied significantly across regions, contributing to a substantial disease burden, especially in middle-SDI countries. The rise in DKD is primarily driven by population growth, aging, and key risk factors such as high fasting plasma glucose and kidney dysfunction, with projections suggesting continued escalation of the burden by 2030.
Humans ; Global Burden of Disease ; Risk Factors ; Male ; Female ; Disability-Adjusted Life Years ; Diabetic Nephropathies/epidemiology* ; Middle Aged ; Diabetes Mellitus, Type 2/epidemiology* ; Adult ; Diabetes Mellitus, Type 1/complications* ; Aged ; Adolescent ; Young Adult ; Quality-Adjusted Life Years

Polymyxin serves as the"last line of defense"for treating infection with multidrug-resistant Gram-ne-gative bacteria.However,the emergence and spread of polymyxin-resistant genes such as mcr-1 severely weakens its clinical efficacy.This paper systematically summarizes the antimicrobial and resistance mechanisms of polymy-xin,comprehensively summarizes the current research progresses in polymyxin sensitizers particular focusing on three aspects:natural compounds,synthetic small molecules,and drug repurposing.Furthermore,this paper explores the innovative strategies of gene intervention,new targets,and nanotechnology-based formulations in the develop-ment of sensitizer,aiming to provide systematic theoretical support and research ideas against polymyxin resistance.

Convergence insufficiency intermittent exotropia (CI-IXT) is a subtype of intermittent exotropia.Surgery remains the most commonly used treatment.Improved unilateral lateral rectus recession-medial rectus resection (I-RR), slanted or nonslanted bilateral medial rectus resection (BMRs) and bilateral slanted lateral rectus recession (S-BLRc) are the commonly used modalities for surgical treatment.These treatment modalities have been able to correct distance and near exotropia and simultaneously reduce the near-distance difference.The clinical application of slanted or nonslanted BMRs is limited due to exodrift over time.I-RR and S-BLRc are widely used in clinics for patients with CI-IXT because of better long-term outcomes.A good knowledge of the different indications of each procedure and its appropriate application can lead to good clinical results.This article reviews recent advances in the surgical management of CI-IXT.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Objective:To analyze the clinical efficacy and learning curve for robot-assisted cortical bone trajectory (CBT) screw fixation performed by surgeons with different seniority in the treatment of lumbar degenerative disease.Methods:The clinical data of 91 lumbar degenerative disease patients underwent robot-assisted CBT screw fixation from August 2020 to December 2022 in Beijing Shijitan Hospital, Capital Medical University were retrospectively analyzed. Among them, 48 patients underwent surgery performed by the same senior surgeon (senior group), with a total of 234 CBT screws were placed; while 43 patients underwent surgery performed by the same junior surgeon (junior group), with a total of 206 CBT screws were placed. The surgical related indexes, functional improvement score, lower back pain and lower limb radiation pain scores, acceptable nail insertion rate, non invasion rate of facet joints and incidence of postoperative complications were compared between two groups. The functional improvement score was evaluated using the Japanese Orthopaedic Association (JOA) score, the pain score was evaluated using visual analog score (VAS). The cumulative sum (CUSUM) method was used to depict the learning curve with "single screw placement time" as the observation index.Results:There were no statistical difference in incision length, operation time, intraoperative blood loss and postoperative hospital stay between two groups ( P>0.05). The least squares means of JOA scores 1, 3 and 6 months after surgery in both groups increased significantly compared to baseline, while the least squares means of lower back pain VAS and lower limb radiation pain VAS decreased significantly compared to baseline; there were no statistical differences between two groups ( P>0.05). There were no statistical difference in acceptable nail insertion rate, non invasion rate of facet joints and incidence of postoperative complications between two group ( P>0.05). The CUSUM learning curves were fitting well and the inflection point for senior surgeon corresponded to 18 cases, while it was reached after performing surgery on 21 cases for junior surgeon. Conclusions:Robot-assisted CBT screw fixation performed by surgeons with different seniority could achieve similar clinical outcomes for treating lumbar degenerative disease. The senior surgeons are able to complete the initial learning stage faster than the junior surgeons, but there is not much difference in the number of surgeries performed the learning curve.

Objective:To explore the clinical application value of magnetic resonance imaging (MRI)-guided wire localization to the non-palpable breast lesions (NPBL) identified on MRI only.Methods:A retrospective case series study was conducted. A total of 171 patients with NPBL identified on MRI only who underwent MRI-guided wire localization from April 2017 to May 2024 in Shaanxi Provincial Cancer Hospital were collected. All patients had breast MRI Breast Imaging Report and Data System (BI-RADS) 4a and above lesions, and underwent MRI-guided wire localization within the same menstrual cycle within 2 days to 2 months after diagnostic MRI examination. Based on postoperative pathological results, the MRI characteristics of benign and malignant lesions were compared, and the clinical application value of MRI-guided wire localization was evaluated.Results:There were 179 lesions in 171 patients, including 54 malignant lesions (30.17%) and 125 benign lesions (69.83%). There was no statistically significant difference in the enhancement morphology between pathological benign and malignant NPBL lesions ( χ2 = 0.04, P = 0.982), while there were statistically significant differences in breast background parenchymal enhancement, lesion time-signal intensity curve and BI-RADS classification ( χ2 values were 32.03, 20.72 and 37.60, respectively, all P < 0.05). Conclusions:For NPBL that is identified on MRI only and evaluated as BI-RDADS 4a or above, MRI-guided wire localization can improve the accuracy of diagnosis and treatment of intraductal carcinoma, early invasive cancer and high-risk lesions.

Objective·To investigate the inhibitory effects of spermidine(SPD)on inflammatory osteolysis both in vivo and in vitro.Methods·The CCK-8 assay was used to assess the viability of RAW264.7 macrophages treated with various concentrations of SPD.The levels of intracellular reactive oxygen species(ROS)in lipopolysaccharide(LPS)-activated RAW264.7 cells were evaluated by staining with dichlorodihydrofluorescein diacetate(DCFH-DA)and dihydroethidium(DHE),respectively.Reverse transcription real-time fluorescence quantitative PCR(RT-qPCR)was utilized to determine the effects of SPD on the expression of pro-inflammatory genes in LPS-activated RAW264.7 cells.Tartrate-resistant acid phosphatase(TRAP)staining was used to evaluate the effect of SPD on the differentiation of mouse primary bone marrow-derived macrophages(BMMs)into osteoclasts.RT-qPCR was employed to further analyze the effect of SPD on the expression of genes related to osteoclast differentiation and functions after BMM-induced differentiation.An LPS-induced mouse calvarial osteolysis model was constructed,and the therapeutic efficacy of SPD on inflammatory osteolysis was assessed using Micro-CT analysis,hematoxylin-eosin(H-E)staining and TRAP staining of histological sections.Results·The CCK-8 assay showed that SPD,even at a concentration of 1 000 μmol/L,exhibited no significant cytotoxicity to RAW264.7 cells.ROS analysis revealed that SPD markedly inhibited LPS-induced elevation of intracellular ROS levels in macrophages.RT-qPCR results indicated that SPD suppressed the expression of pro-inflammatory genes induced by LPS.Both TRAP staining and RT-qPCR demonstrated that SPD effectively inhibited the differentiation of BMMs into osteoclasts induced by receptor activator of nuclear factor-κB ligand(RANKL)and reduced the expression of genes associated with osteoclast differentiation and function.In the mouse calvarial osteolysis model,Micro-CT analysis showed that the bone volume fraction and bone mineral density in the SPD-treated groups were significantly higher than those in the LPS group.Histological staining revealed that SPD treatment reduced inflammatory cell infiltration,decreased osteoclast numbers,and alleviated tissue damage.Conclusion·SPD inhibits macrophage inflammatory responses and RANKL-induced osteoclast differentiation in vitro;in vivo,it alleviates LPS-induced inflammatory calvarial osteolysis in mice.

Objective:To explore the mechanism of how neurocognition affects social functioning through fa-cial emotion recognition in individuals with schizophrenia.Methods:Totally 203 patients with schizophrenia meet-ing the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-IV)diagnostic criteria were re-cruited,with an age of(40±12)years,an initial onset age of(24±8)years,scored(60.4±16.1)points on the Positive and Negative Syndrome Scale.Using the Personal and Social Performance Scale(PSP),the MATRICS Consensus Cognitive Battery(MCCB),and the Facial Emotion Recognition Test(FERT)to assess patients'social functioning,neurocognition,and facial emotion recognition abilities.Results:In the relationship between MCCB fac-tor scores and PSP dimensions scores,happy face recognition showed a mediating effect in socially useful activities dimension(ACME=0.021,P＜0.01),sad(ACME=-0.026,P＜0.05)and surprised face recognition(ACME=-0.017,P＜0.05)showed mediating effects in self-care dimension.Additionally,sad(ACME=-0.025,P＜0.05)and fearful face recognition(ACME=-0.025,P＜0.001)played a mediating role in disruptive and aggres-sive behavior dimensions.Conclusion:Facial emotion recognition in patients with schizophrenia may play a media-ting role in the neurocognitive mechanisms of social dysfunction,with different dimensions of social dysfunction be-ing associated with specific categories of emotions.