Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Background: Kidney transplant recipients (KTRs) are at risk of coronavirus disease 2019 (COVID-19) complications and mortality. This study examined factors associated with moderate, severe, or critical COVID-19 infection among KTRs during the Omicron-predominant period. Methods: This single-center retrospective study included KTRs aged ≥18 years diag-nosed with COVID-19 between January 1, 2022, and December 31, 2023. Mild infection was defined as symptomatic illness without lower respiratory tract infection (LRTI);moderate infection as LRTI without hypoxia; severe infection as oxygen saturation <94% on room air; and critical infection as respiratory failure, septic shock, or multiple organ dysfunction. We compared the characteristics of KTRs with asymptomatic or mild COVID-19 versus those with moderate to critical disease. Logistic regression analysis was performed to identify factors associated with moderate to critical illness. Results: Most KTRs (94.4%) had received three or more vaccine doses. Of 603 episodes of COVID-19 infection during the study period, 554 (91.9%) were asymptomatic or mild, while 49 (8.1%) were moderate to critical. Multivariate analysis revealed that older age (adjusted odds ratio [aOR], 1.037; 95% confidence interval [CI], 1.006–1.069) and longer symptom duration before seeking care (aOR, 1.288; 95% CI, 1.155–1.436) were associated with higher odds of moderate to critical disease. Protective factors included receiving a vaccine booster within the past year (aOR, 0.414; 95% CI, 0.212–0.809) and higher glomerular filtration rate (aOR, 0.971; 95% CI, 0.956–0.986). Conclusions KTRs should seek care early if infected with COVID-19 and keep their COVID-19 vaccine boosters updated within 1 year of the last dose.

Background: Kidney transplant recipients (KTRs) are at risk of coronavirus disease 2019 (COVID-19) complications and mortality. This study examined factors associated with moderate, severe, or critical COVID-19 infection among KTRs during the Omicron-predominant period. Methods: This single-center retrospective study included KTRs aged ≥18 years diag-nosed with COVID-19 between January 1, 2022, and December 31, 2023. Mild infection was defined as symptomatic illness without lower respiratory tract infection (LRTI);moderate infection as LRTI without hypoxia; severe infection as oxygen saturation <94% on room air; and critical infection as respiratory failure, septic shock, or multiple organ dysfunction. We compared the characteristics of KTRs with asymptomatic or mild COVID-19 versus those with moderate to critical disease. Logistic regression analysis was performed to identify factors associated with moderate to critical illness. Results: Most KTRs (94.4%) had received three or more vaccine doses. Of 603 episodes of COVID-19 infection during the study period, 554 (91.9%) were asymptomatic or mild, while 49 (8.1%) were moderate to critical. Multivariate analysis revealed that older age (adjusted odds ratio [aOR], 1.037; 95% confidence interval [CI], 1.006–1.069) and longer symptom duration before seeking care (aOR, 1.288; 95% CI, 1.155–1.436) were associated with higher odds of moderate to critical disease. Protective factors included receiving a vaccine booster within the past year (aOR, 0.414; 95% CI, 0.212–0.809) and higher glomerular filtration rate (aOR, 0.971; 95% CI, 0.956–0.986). Conclusions KTRs should seek care early if infected with COVID-19 and keep their COVID-19 vaccine boosters updated within 1 year of the last dose.

Background: Kidney transplant recipients (KTRs) are at risk of coronavirus disease 2019 (COVID-19) complications and mortality. This study examined factors associated with moderate, severe, or critical COVID-19 infection among KTRs during the Omicron-predominant period. Methods: This single-center retrospective study included KTRs aged ≥18 years diag-nosed with COVID-19 between January 1, 2022, and December 31, 2023. Mild infection was defined as symptomatic illness without lower respiratory tract infection (LRTI);moderate infection as LRTI without hypoxia; severe infection as oxygen saturation <94% on room air; and critical infection as respiratory failure, septic shock, or multiple organ dysfunction. We compared the characteristics of KTRs with asymptomatic or mild COVID-19 versus those with moderate to critical disease. Logistic regression analysis was performed to identify factors associated with moderate to critical illness. Results: Most KTRs (94.4%) had received three or more vaccine doses. Of 603 episodes of COVID-19 infection during the study period, 554 (91.9%) were asymptomatic or mild, while 49 (8.1%) were moderate to critical. Multivariate analysis revealed that older age (adjusted odds ratio [aOR], 1.037; 95% confidence interval [CI], 1.006–1.069) and longer symptom duration before seeking care (aOR, 1.288; 95% CI, 1.155–1.436) were associated with higher odds of moderate to critical disease. Protective factors included receiving a vaccine booster within the past year (aOR, 0.414; 95% CI, 0.212–0.809) and higher glomerular filtration rate (aOR, 0.971; 95% CI, 0.956–0.986). Conclusions KTRs should seek care early if infected with COVID-19 and keep their COVID-19 vaccine boosters updated within 1 year of the last dose.

Background: Kidney transplant recipients (KTRs) are at risk of coronavirus disease 2019 (COVID-19) complications and mortality. This study examined factors associated with moderate, severe, or critical COVID-19 infection among KTRs during the Omicron-predominant period. Methods: This single-center retrospective study included KTRs aged ≥18 years diag-nosed with COVID-19 between January 1, 2022, and December 31, 2023. Mild infection was defined as symptomatic illness without lower respiratory tract infection (LRTI);moderate infection as LRTI without hypoxia; severe infection as oxygen saturation <94% on room air; and critical infection as respiratory failure, septic shock, or multiple organ dysfunction. We compared the characteristics of KTRs with asymptomatic or mild COVID-19 versus those with moderate to critical disease. Logistic regression analysis was performed to identify factors associated with moderate to critical illness. Results: Most KTRs (94.4%) had received three or more vaccine doses. Of 603 episodes of COVID-19 infection during the study period, 554 (91.9%) were asymptomatic or mild, while 49 (8.1%) were moderate to critical. Multivariate analysis revealed that older age (adjusted odds ratio [aOR], 1.037; 95% confidence interval [CI], 1.006–1.069) and longer symptom duration before seeking care (aOR, 1.288; 95% CI, 1.155–1.436) were associated with higher odds of moderate to critical disease. Protective factors included receiving a vaccine booster within the past year (aOR, 0.414; 95% CI, 0.212–0.809) and higher glomerular filtration rate (aOR, 0.971; 95% CI, 0.956–0.986). Conclusions KTRs should seek care early if infected with COVID-19 and keep their COVID-19 vaccine boosters updated within 1 year of the last dose.

Objective:To explore the diagnostic value of shear wave elastography(SWE)for clinically significant prostate cancer(csPCa).Methods:We retrospectively analyzed the clinical data of 359 cases with suspected prostate cancer(PCa)in Baoji Central Hospital from June 2017 to July 2023.All the patients underwent the following examinations in the order of serum prostate-spe-cific antigen(PSA)testing,transrectal ultrasonography(TRUS),measurement of the stiffness of the entire prostate gland by SWE,and TRUS-guided prostate puncture biopsy.The stiffness of the entire prostate gland was defined as the average of Young's modulus at both sides of the base,middle,and apex of the prostate,including the maximum Young's modulus(Emax),mean Young's modulus(Emean),and minimum Young's modulus(Emin).We analyzed the correlation of the parameters of the stiffness of the entire prostate gland with the pathological results,focusing on their diagnostic performance for csPCa.Results:Of the 359 cases,189 were diag-nosed by pathological puncture biopsy as BPH,26 as non-csPCa,and 144 as csPCa.The PSA level,Emax,Emean and Emin were significantly higher in the csPCa than those in the BPH and non-csPCa groups(all P＜0.01),but showed no statistically significant difference between the BPH and non-csPCa groups(all P＞0.05).The area under the receiver operating characteristic curve(AUC),optimal cut-off value,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV)and accura-cy of Emax in the diagnosis of csPCa were 0.852,143.92 kPa,72.22％,84.65％,75.91％,81.98％and 79.67％;those of Emean were 0.868,82.42 kPa,67.36％,91.16％,83.62％,80.66％and 81.62％;and those of Emin were 0.682,32.73 kPa,47.22％,89.30％,73.91％,71.54％and 72.14％,respectively.In the non-csPCa group,Emax,Emean and Emin were found be-low the optimal cut-off value in 73.08％(19/26),92.31％(24/26)and 88.46％(23/26),respectively.Conclusion:The stiff-ness of the entire prostate gland measured by SWE contributes to the diagnosis of csPCa,reduces unnecessary detection of non-csPCa,and provides some reference for its active surveillance.

Objective:To investigate the application value of risk prediction model for acute kidney injury (AKI) after donation of cardiac death (DCD) liver transplantation based on machine learning algorithm.Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 001 pairs of DCD liver transplant donors and recipients at five hospitals, including The First Affiliated Hospital of Zhejiang University School of Medicine et al, in the Chinese Liver Transplan-tation Registry from January 2015 to December 2023 were collected. Of the donors, there were 825 males and 176 females. Of the recipients, there were 806 males and 195 females, aged 52 (range, 18-75)years. There were 281 recipients included using oversampling technique, and all 1 282 recipients were divided to the training set of 897 recipients and the validation set of 385 recipients by a ratio of 7∶3 using computer-generated random numbers. Seven prediction models, including Random Forest (RF), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), Logistic Regression (LR), Decision Tree (DT), K-Nearest Neighbors (KNN), and Categorical Boosting (CatBoost), were constructed for AKI after liver transplantation based on machine learning algorithm. Observation indicators: (1) comparison of clinicopathological characteristics between recipients with and without AKI and donors; (2) follow-up and survival of recipients with and without AKI; (3) construction and validation of nomogram prediction model of AKI after liver transplantation; (4) construction and validation of machine learning prediction model of AKI after liver transplantation. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test, and comparison among groups was conducted using the Kruskal-Wallis H test. Comparison of count data between groups was conducted using the chi-square test or corrected chi-square test. Kaplan-Meier method was used to calculate survival rates and plot survival curves. Logistic regression model was performed for univariate and multivariate analyses. The receiver operating characteristic (ROC) curve was plotted to calculate area under curve (AUC) and 95% confidence interval ( CI). The performance of prediction model was evaluated using DeLong test, accuracy, sensitivity, specificity. The calibration curve was plotted to evaluate the performance of predicted probability and actual probability. The interpretability analysis of machine learning algorithm and SHapley Additive exPlanations was used to explain the model decision separately. Results:(1) Comparison of clinicopathological characteristics between recipients with and without AKI and donors. Of 1 001 recipients, there were 360 cases with AKI and 641 cases without AKI after liver transplantation. There were significant differences in body mass index (BMI), hepatic encepha-lopathy, hepatitis B surfact antigen (HBsAg), hepatorenal syndrome (HRS) and donor diabetes, donor blood urea nitrogen, donor alanine aminotransferase, donor aspartate aminotransferase, mass of graft, volume of blood loss during liver transplantation, warm ischema time of donor liver, and operation time between recipients with and without AKI ( Z=-4.337, χ2=9.751, 9.088, H=11.142, χ2=5.286, Z=-3.360, -2.539, -3.084, -1.730, -3.497, -1.996, -2.644, P<0.05). (2) Follow-up and survival of recipients with and without AKI. All the 1 001 recipients received follow-up. The recipients with AKI after liver transplantation were followed up for 18.6(range, 0-102.3)months, and recipients without AKI after liver transplantation were followed up for 31.9(range, 0.1-105.5)months. The 1-, 3-, and 5-year overall survival rates were 72.1%, 63.5%, and 59.3% of recipients with AKI, versus 86.7%, 76.7%, and 72.5% of recipients without AKI, respectively, showing a significant difference in overall survival between them ( χ2=26.028, P<0.05). (3) Construction and validation of nomogram predic-tion model of AKI after liver transplantation. Results of multivariate analysis showed that recipient BMI, recipient creatinine, recipient HBsAg, recipient HRS, donor blood urea nitrogen, donor crea-tinine, anhepatic phase and volume of blood loss during liver transplantation were independent risk factors for AKI of recipients after liver transplantation ( odds ratio=1.113, 0.998, 0.605, 1.580, 1.047, 0.998, 1.006, 1.157, 95% CI as 1.070-1.157, 0.996-1.000, 0.450-0.812, 1.021-2.070, 1.021-1.074, 0.996-0.999, 1.000-1.012, 1.045-1.281, P<0.05). The nomogram prediction model of AKI after liver transplantation was constructed based on the results of multivariate analysis. Results of ROC curve showed that the AUC of 0.666 (95% CI as 0.637-0.696). (4) Construction and validation of machine learning prediction model of AKI after liver transplantation. Based on the Lasso regression analysis, seven machine learning algorithm prediction models, including RF, XGBoost, SVM, LR, DT, KNN, and CatBoost, were constructed, with ROC curves of the validation set plotted. The AUC of above models were 0.863, 0.841, 0.721, 0.637, 0.620, 0.708, 0.731, accuracies were 0.764, 0.782, 0.701, 0.592, 0.605, 0.605, 0.681, sensitivities were 0.764, 0.789, 0.719, 0.588, 0.694, 0.694, 0.704, specificities were 0.763, 0.774, 0.683, 0.597, 0.511, 0.511, 0.656, respectively. Delong test showed that the RF model with the highest AUC of 0.863(95% CI as 0.828-0.899). Calibration curve analysis showed the predicted probability closest to the actual probability of RF model, indicating the model with a good validation value. Further sorting of SHAP of different clinical factors based on RF model showed that recipient BMI, donor blood urea nitrogen, volume of blood loss during liver transplantation, donor age had large effects on the output outcomes. Conclusion:The nomogram prediction model and seven machine learning algorithm prediction models for AKI after DCD liver transplantation are constructed, and the RF model based on machine learning has a better predictive performance.

Objective:To investigate the completion rate of tumor evaluation at initial assessment and after neoadjuvant therapy for mid and low rectal cancer patients in the national multicenter real-world database.Methods:The prospective real-world study was conducted. The clinicopathological data of 1 074 patients who underwent surgical treatment for mid and low rectal cancer in 47 national medical institutions, including Peking Union Medical College Hospital et al, from May 12,2023 to May 11,2024 were collected. Observation indicators: (1) clinical characteristics of patients with mid and low rectal cancer; (2) initial colonoscopy and pathologic evaluation of tumors in patients with mid and low rectal cancer; (3) initial imaging evaluation of patients with mid and low rectal cancer; (4) imaging evaluation after neoadjuvant therapy for patients with mid and low rectal cancer. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M( Q1, Q3). Count data were described as absoluter numbers and/or percentages. Results:(1) Clinical characteristics of patients with mid and low rectal cancer. Of the 1 074 patients, there were 713 males and 361 females, aged 63(56,70)years. The body mass index of 1 074 patients was 24(21,26)kg/m 2.For American Society of Anesthesiologists classification, there were 147 cases of stage Ⅰ, 641 cases of stage Ⅱ, 157 cases of stage Ⅲ, 2 cases of stage Ⅳ, and there were 127 cases missing data. (2) Initial colonoscopy and pathologic evaluation of tumors in patients with mid and low rectal cancer. Of the 1 074 patients, there were 787 cases (73.28%) undergoing complete colonoscopy, and there were only 197 cases (18.34%) undergoing immunohistochemical evaluation of all four mismatch repair proteins. (3) Initial imaging evaluation of patients with mid and low rectal cancer. Of the 1 074 patients, there were 842(78.40%) patients completing magnetic resonance imaging (MRI) or ultrasound evaluation, and there were 914(85.10%) patients completing chest, abdomen, and pelvis enhanced computed tomography (CT) evaluation. In the 149 patients completing rectal ultrasound evaluation, there were 122 cases (81.88%) comple-ting T staging evaluation, and there were 81 cases (54.36%) completing N staging evaluation. In the 808 patients completing rectal MRI evaluation, there were 708 cases (87.62%) completing T staging evaluation, and there were 590 cases (73.02%) completing N staging evaluation. (4) Imaging evalua-tion after neoadjuvant therapy for patients with mid and low rectal cancer. Of the 388 patients with neoadjuvant therapy, there were 332 patients (85.57%) completing MRI or ultrasound evaluation, and there were 327 patients (84.28%) completing chest, abdomen, and pelvis enhanced CT evalua-tion. In the 70 patients completing rectal ultrasound evaluation, there were 65 cases (92.86%) com-pleting T staging evaluation, and there were 49 cases (70.00%) completing N staging evaluation. In the 327 patients completing rectal MRI evaluation, there were 246 cases (75.23%) completing T staging, and there were 228 cases (69.72%) completing N staging evaluation. Conclusion:The com-pletion rate of tumor imaging evaluation at initial assessment and after neoadjuvant therapy for mid and low rectal cancer patients on a national scale is relatively good.

Objective To explore the mechanism of matrine in the treatment of uveal melanoma by network pharmacology,and the related results were verified by molecular docking and cell experiments.Methods The potential targets of matrine were obtained from Swiss Target Prediction,SuperPred and TCMSP databases.The targets related to uveal melanoma were obtained from GeneCards,OMIM,CTD and DrugBank databases.Protein-protein interaction(PPI)network was established to screen core targets.Gene ontology(GO)enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG)signal pathway analysis were carried out for potential targets.The interaction between matrine and core targets was evaluated by molecular docking technique.The effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on the proliferation of uveal melanoma cells were evaluated based on CCK-8 method.Western blot was used to verify the regulatory effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on PI3K-Akt signaling pathway.Results A total of 208 potential targets of matrine were identified,and 5 453 targets related to uveal melanoma were obtained.The topological analysis of PPI network revealed 8 core targets,namely interleukin-6(IL-6),tumor necrosis factor(TNF),myelocytomatosis proteins(MYC),signal transducer and activator of transcription 3(STAT3),caspase-3(CASP3),heat shock protein 90AB1(HSP90AB1),mammalian target of rapamycin(mTOR),and matrix metalloproteinase 9(MMP9).GO enrichment analysis showed that biological processes(BP)mainly included inflammatory response,protein phosphorylation and response to exogenous stimuli;cell components(CC)mainly included plasma membrane,cell surface and cytoplasm;molecular function(MF)mainly included the same protein binding,ATP binding and kinase activity.The enrichment analysis of KEGG pathway showed that the effect of matrine was mediated by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway.Molecular docking showed that matrine had good binding ability with the selected core targets.The results of cell experiments showed that matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could inhibit the proliferation of MuM2B cells,and the cell survival rate gradually decreased with the increase of concentration.Matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could down-regulate the protein expression levels of p-PI3K and p-Akt,and the protein expression levels of p-PI3K and p-Akt gradually decreased with the increase of concentration.Conclusion Matrine acts on tar-gets such as IL-6,TNF,MYC,STAT3,CASP3,HSP90AB1,mTOR,MMP9,and exerts therapeutic effects on uveal melanoma by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway,etc.

Objective:To investigate the effects of surgical timing on incidence of perioperative complications and postoperative 30-day mortality in elderly patients with hip fracture.Methods:The data were retrospectively analyzed of the 450 elderly patients with hip fracture who had been admitted to Department of Joint Surgery, Beijing Shijitan Hospital, Capital Medical University from January 2016 to December 2021. The patients were divided into 2 groups according to the time from admission to surgery. In the early surgery group of 143 cases [41 males and 102 females with an age of 82(75, 86) years], the time from admission to surgery was ≤ 48 hours. In the delayed surgery group of 307 cases [88 males and 219 females with an age of 83(77, 87) years], the time from admission to surgery was over 48 hours. The 2 groups were compared in terms of comorbidities, perioperative complications, death events within postoperative 30 days, ICU transfer rate and total length of hospital stay.Results:There was no significant difference in the preoperative general data like age and gender between the 2 groups, indicating comparability ( P>0.05). The proportions of patients with coronary atherosclerotic heart disease [30.0%(92/307)], a stroke history [19.9%(61/307)], abnormal heart function [55.4%(170/307)] and abnormal kidney function [24.4%(75/307)] in the delayed surgery group were significantly higher than those in the early surgery group [18.2%(26/143), 10.5% (15/143), 39.2%(56/143), and 12.6%(18/143)] ( P<0.05). The proportions of perioperative pulmonary infection [22.5% (69/307)] and urinary infection [21.2%(65/307)] in the delayed operation group were significantly higher than those in the early operation group [11.9%(17/143) and 11.2%(16/143)] ( P<0.05). The total hospital stay in the delayed operation group [18(14, 22) d] was significantly longer than that in the early operation group [14(10, 17) d] ( P<0.05). There was no significant difference in ICU transfer rate or postoperative 30-day mortality between the 2 groups ( P>0.05). Conclusion:For elderly patients with hip fracture, delayed surgery may increase the incidence of pulmonary infection and urinary infection, and extend their total hospital stay, but have no effect on the postoperative 30-day mortality.