Objective To analyze the diagnosis, treatment and clinical characteristics of a patient with parotid gland metastasis of clear cell renal cell carcinoma(ccRCC)following radical nephrectomy. Methods The clinical data and diagnostic/therapeutic course of the patient were reported, and the metastasis time and treatment methods of patients with parotid metastasis of renal cancer were summarized in combination with literature. Results The 63-year-old male patient sought medical help due to a mass behind the right ear persisting for 3 months. He had undergone a right radical nephrectomy for a renal tumor 10 years ago. Preoperative computed tomography(CT)with contrast of the parotid region revealed an approximately 2.5 cm×2.1 cm round soft-tissue density lesion in the right parotid gland with slightly irregular margins. Positron emission tomography/computed tomography(PET/CT)showed an enlarged left kidney with an irregular shape and multiple round, slightly hyperdense lesion(SUVmax=7.2), suggestive of malignancy. A round, slightly hyperdense lesion(diameter 2.6 cm, SUVmax=4.2)with well-defined borders and increased radiotracer uptake was noted in the right parotid gland, indicating a hypermetabolic mass where malignancy could not be excluded. The patient subsequently underwent partial parotidectomy, advancement flap transplantation, and facial nerve dissection. Postoperative pathology revealed tumor cells with clear/eosinophilic cytoplasm and nuclear atypia, exhibiting ill-defined borders with salivary gland tissue. Immunohistochemistry was positive for PAX-8, CAⅨ, and Ki-67. During the 12-month follow-up, the patient was in good condition with no evidence of tumor recurrence or metastasis. Conclusion Parotid gland metastasis following radical nephrectomy is exceedingly rare, with no specific imaging features and clinical manifestations, and definitive diagnosis relies on pathological examination. Currently, there is no standardized treatment protocol, but complete surgical excision remains the primary therapeutic option.

BACKGROUND: Arsenic trioxide (ATO) is indicated as a broad-spectrum medicine for a variety of diseases, including cancer and cardiac disease. While the role of ATO in hepatic ischemia/reperfusion injury (HIRI) has not been reported. Thus, the purpose of this study was to identify the effects of ATO on HIRI. METHODS: In the present study, we established a 70% hepatic warm I/R injury and partial hepatectomy (30% resection) animal models in vivo and hepatocytes anoxia/reoxygenation (A/R) models in vitro with ATO pretreatment and further assessed liver function by histopathologic changes, enzyme-linked immunosorbent assay, cell counting kit-8, and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) assay. Small interfering RNA (siRNA) for extracellular signal-regulated kinase (ERK) 1/2 was transfected to evaluate the role of ERK1/2 pathway during HIRI, followed by ATO pretreatment. The dynamic process of autophagic flux and numbers of autophagosomes were detected by green fluorescent protein-monomeric red fluorescent protein-LC3 (GFP-mRFP-LC3) staining and transmission electron microscopy. RESULTS: A low dose of ATO (0.75 μmol/L in vitro and 1 mg/kg in vivo ) significantly reduced tissue necrosis, inflammatory infiltration, and hepatocyte apoptosis during the process of hepatic I/R. Meanwhile, ATO obviously promoted the ability of cell proliferation and liver regeneration. Mechanistically, in vitro  studies have shown that nontoxic concentrations of ATO can activate both ERK and phosphoinositide 3-kinase-serine/threonine kinase (PI3K-AKT) pathways and further induce autophagy. The hepatoprotective mechanism of ATO, at least in part, relies on the effects of ATO on the activation of autophagy, which is ERK-dependent. CONCLUSION Low, non-toxic doses of ATO can activate ERK/PI3K-AKT pathways and induce ERK-dependent autophagy in hepatocytes, protecting liver against I/R injury and accelerating hepatocyte regeneration after partial hepatectomy.
Animals ; Arsenic Trioxide ; Autophagy/physiology* ; Reperfusion Injury/prevention & control* ; Mice ; Male ; Proto-Oncogene Proteins c-akt/physiology* ; Arsenicals/therapeutic use* ; Oxides/therapeutic use* ; Liver/metabolism* ; Extracellular Signal-Regulated MAP Kinases/metabolism* ; Mice, Inbred C57BL

Objective:To analyze the influencing factors of severe dengue fever patients in the early stage, construct a early prediction model for severe dengue fever, and evaluate it.Methods:A retrospective analysis was conducted to collect early clinical data of dengue fever patients admitted to the People's Hospital of Mengla County and the Third People's Hospital of Kunming in Yunnan Province from July to December 2023. The multifactor logistic regression was used to analyze the factors affecting the severe dengue fever patients, and Nomogram prediction model was used for visualization. Receiver operating characteristic (ROC) curve and calibration curve analysis were used to evaluate the model.Results:A total of 534 dengue fever patients were included, including 291 males and 243 females, aged (39.95 ± 15.69) years. Among them, there were 59 cases (11.05%) of severe dengue fever. The results of multifactor logistic regression analysis showed that age ( OR = 1.05, 95% CI: 1.02 - 1.08, P < 0.001), cardiovascular disease ( OR = 5.28, 95% CI: 2.08 - 13.40, P < 0.001), serous effusion ( OR = 4.34, 95% CI: 1.63 - 11.57, P = 0.003), aspartate aminotransferase ( OR = 1.03, 95% CI: 1.02 - 1.04, P < 0.001), lactate dehydrogenase ( OR = 1.00, 95% CI: 1.00 - 1.01, P = 0.001), and fibrinogen ( OR = 0.46, 95% CI: 0.28 - 0.76, P = 0.003) were independent influencing factors in the early stage of severe dengue fever. The area under the ROC curve of the Nomogram prediction model constructed from the above six variables was 0.96 (0.93 - 0.98). The calibration curve analysis results showed that the mean absolute error between the predicted values of the Nomogram prediction model and the actual observed values was 0.014. Conclusions:Age, cardiovascular disease, serous effusion, aspartate aminotransferase, lactate dehydrogenase, and fibrinogen are independent influencing factors in the early stage of severe dengue fever. The Nomogram prediction model established based on these variables has good predictive ability for severe dengue fever.

Objective:To analyze the influencing factors of severe dengue fever patients in the early stage, construct a early prediction model for severe dengue fever, and evaluate it.Methods:A retrospective analysis was conducted to collect early clinical data of dengue fever patients admitted to the People's Hospital of Mengla County and the Third People's Hospital of Kunming in Yunnan Province from July to December 2023. The multifactor logistic regression was used to analyze the factors affecting the severe dengue fever patients, and Nomogram prediction model was used for visualization. Receiver operating characteristic (ROC) curve and calibration curve analysis were used to evaluate the model.Results:A total of 534 dengue fever patients were included, including 291 males and 243 females, aged (39.95 ± 15.69) years. Among them, there were 59 cases (11.05%) of severe dengue fever. The results of multifactor logistic regression analysis showed that age ( OR = 1.05, 95% CI: 1.02 - 1.08, P < 0.001), cardiovascular disease ( OR = 5.28, 95% CI: 2.08 - 13.40, P < 0.001), serous effusion ( OR = 4.34, 95% CI: 1.63 - 11.57, P = 0.003), aspartate aminotransferase ( OR = 1.03, 95% CI: 1.02 - 1.04, P < 0.001), lactate dehydrogenase ( OR = 1.00, 95% CI: 1.00 - 1.01, P = 0.001), and fibrinogen ( OR = 0.46, 95% CI: 0.28 - 0.76, P = 0.003) were independent influencing factors in the early stage of severe dengue fever. The area under the ROC curve of the Nomogram prediction model constructed from the above six variables was 0.96 (0.93 - 0.98). The calibration curve analysis results showed that the mean absolute error between the predicted values of the Nomogram prediction model and the actual observed values was 0.014. Conclusions:Age, cardiovascular disease, serous effusion, aspartate aminotransferase, lactate dehydrogenase, and fibrinogen are independent influencing factors in the early stage of severe dengue fever. The Nomogram prediction model established based on these variables has good predictive ability for severe dengue fever.

Objective:To investigate the prevalence and mortality of dementia and assess the impact of geriatric syndromes (GS) on the risk for dementia and death in elderly population in Beijing.Methods:A cross-sectional survey was conducted in the elderly population aged ≥65 years and selected by a multi-stage sampling in Beijing during 2013-2015. Cognitive function was screened using the Chinese Revised Version of the Mini-Mental State Examination (MMSE). Then, neurological examination and psychiatric assessment were performed for those with the MMSE score lower than the cut-off value. The information about GS prevalence was also collected. The study also collected death records for all individuals from baseline until December 31, 2019. Based on the age and gender distribution from Beijing data of the 2010 Six th National Population Census, the dementia prevalence in the study population was directly standardized. Logistic regression analysis was used to evaluate the association of different forms of dementia with GS, and Cox proportional hazards regression model was used to estimate the hazard ratio ( HR) and 95% CI of death. Results:During 2013-2015, a total of 2 935 individuals completed dementia assessments, of which 167 were diagnosed with dementia. The standardized prevalence of dementia was 5.9% (95% CI: 5.0%-17.4%). The individuals with Alzheimer's disease (AD) and vascular dementia (VaD) accounted for 58.7% and 28.1% of total individuals with dementia, respectively. Aging, lower education level, urinary incontinence, and fall were risk factors for AD, while disability of activity of daily life dependence, hypertension, and stroke were found to be risk factors for VaD. After a median follow-up of 5.44 person-years, 399 deaths were recorded. The 5-year mortality risk was 2.87 (95% CI: 1.92-4.17) times and 4.93 (95% CI: 3.23-7.53) times higher for the elderly individuals with AD and VaD, respectively, compared to non-demented individuals. After adjusting for demographic, GS, and cardiovascular risk factors, the mortality risk in the elderly individuals with AD showed no significant difference compared with non-demented individuals ( HR=1.32, 95% CI: 0.89-1.97), while the mortality risk in those with VaD was 2.46 (95% CI: 1.49-4.05) times higher than that in non-demented individuals. Conclusions:The prevalence of dementia in Beijing increased significantly in the context of population aging, especially the prevalence of AD. The presence of GS increased the risks for AD and VaD, as well as the risk for death. Close attention needs to be paid to GS management in dementia prevention in elderly population.

Objective:To explore the clinical phenotype and genetic etiology for a Chinese pedigree affected with Autosomal dominant polycystic kidney disease (ADPKD).Methods:A pedigree with ADPKD diagnosed at the Department of Gynaecology of the First Affiliated Hospital of Zhengzhou University in December 2020 was selected as the study subject. Clinical data of the pedigree was collected, and whole exome sequencing (WES) was carried out for the proband. Candidate variants were verified by Sanger sequencing of the proband and her relatives. This study was approved by the First Affiliated Hospital of Zhengzhou University (Ethics No. KS-2018-KY-36).Results:Fetal ultrasonography showed increased volume and parenchymal echogenicity in both kidneys. The fetus was found to harbor c. 11098C>T (p.R3700C) and c.11039T>C (p.F3680S) compound heterozygous variants of the PKD1 gene, which were respectively inherited from its mother and father. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), both variants were predicted to be likely pathogenic (PM1+ PM2_Supporting+ PP3). Conclusion:The c. 11098C>T (p.R3700C) and c. 11039T>C (p.F3680S) compound heterozygous variants of the PKD1 gene probably underlay the ADPKD in the fetus. Above finding has provided guidance for the genetic counseling and prenatal diagnosis for this pedigree.

Throughout history,the development of medicine has been accompanied by the embodiment of humanity.In recent years,with the vigorous development of medical humanities,its connotation has been continuously enriched.Intensive care unit(ICU),at the forefront of treatment for critically ill patients,encounters many ethical risks and moral issues.Therefore,humanistic care for patients and the humanistic literacy of medical staff are particularly important.From the perspective of frontline doctors in the ICU,this article briefly discusses the reflection on the cognition of humanistic literacy,medical humanistic education,and humanistic practice within the ICU.

BACKGROUND:Epidemiologic studies have shown a correlation between type 2 diabetes mellitus and bone mineral density,but the causal association between the two and whether it is age-related remains unknown. OBJECTIVE:To study the correlation between type 2 diabetes mellitus and whole body bone mineral density at unspecified age and at all ages based on the Mendelian randomization technique. METHODS:The genome-wide association study(GWAS)data of type 2 diabetes mellitus and bone mineral density at all ages were selected from the IEU GWAS database of the University of Bristol.The exposure data were single nucleotide polymorphisms with significant correlation with type 2 diabetes mellitus as instrumental variables,and bone mineral density at all ages was selected as the outcome variable.Two-sample Mendelian randomization analysis of type 2 diabetes mellitus and bone mineral density was performed using inverse variance weighted method,weighted median estimator,and MR-Egger regression.The βvalue was used to evaluate the causal relationship between type 2 diabetes mellitus and bone mineral density at all ages. RESULTS AND CONCLUSION:A total of 118 single nucleotide polymorphisms were extracted from the GWAS summary data as instrumental variables.The MR-Egger regression results showed that there was no horizontal pleiotropy,but there was heterogeneity.Therefore,this study was based on the inverse variance weighted results.Inverse variance weighted results showed that type 2 diabetes mellitus may be a potential protective factor for bone mineral density and is associated with age:age-unspecified bone mineral density[β=0.038,95%confidence interval(CI):1.01-1.07,P=0.002],bone mineral density over 60 years old(β=0.052,95%CI:1.01-1.09,P=0.027),bone mineral density between 45-60 years old(β=0.049,95%CI:1.01-1.09,P=0.009),bone mineral density between 30-45 years old(β=0.033,95%CI:0.99-1.07,P=0.127).bone mineral density of 15-30 years old(β=0.025,95%CI:0.95-1.10,P=0.506),bone mineral density of 0-15 years old(β=0.006,95%CI:0.96-1.04,P=0.716).Similar results were obtained from the MR-Egger regression and weighted median estimator analyses.These findings indicate that type 2 diabetes mellitus may be one of the protective factors of bone mineral density,and there is a correlation with age.

Objective To explore the prognostic impact and clinical application value of therapeutic plasma exchange(TPE)intervention timing and liver injury periodization in patients with exertional heat stroke(EHS).Methods Data of 127 EHS patients from the First Medical Center of the General Hospital of the People′s Liberation Army from January 2011 to December 2023 were collected,then divided into the death group and the survival group based on therapeutic outcomes and into 5 stages according to the dynamic changes of ALT,AST,TBIL and DBIL.According to propensity score matching analysis,11 patients in the survival group and 12 patients in the death group were included in the statistical analysis,and 20 of them were treated with TPE.The changes in indicators and clinical outcomes before and after TPE were observed,in order to evaluate the impact of intervention timing on prognosis.Results Among the 23 patients,14 had no liver injury or could progress to the repair phase,resulting in 3 deaths(with the mortality rate of 21.43%),while 9 patients failed to pro-gress to the repair phase,resulting in 9 deaths(with the mortality rate of 100%),with significant differences(P＜0.05).The mortality rate of the first TPE intervention before the third stage of liver injury was 23.08%(3/13),while that of interven-tion after reaching or exceeding the third stage was 85.71%(6/7),and the difference was statistically significant(P＜0.05).Conclusion TPE should be executed actively in EHS patients combined with liver injury before the third phase to lock its pathological and physiological processes,thereby improving prognosis and reducing mortality.

Objective To establish an artificial intelligence (AI)-assisted platform for detection of parasite eggs, and to evaluate its detection efficiency and accuracy, so as to provide technical supports for elimination of parasitic diseases. Methods A total of 1 003 slides of Enterobius vermicularis, horkworm, Trichuris trichiura, Clonorchis sinensis, Taenia, Ascaris lumbricoides, Schistosoma japonicum, Paragonimus westermani and Fasciolopsis buski eggs were collected, and converted into digital images with an automatated scanning microscope to create a dataset. Based on the Object Detection platform on the Baidu Easy DL model, an AI-assisted platform for detection of parasite eggs was created through procedures of uploading, labeling, training, evaluation and optimization. Then, 70% of the datasets were randomly selected for model training, and the precision, recall and average accuracy were calculated to evaluate the effectiveness of platform for recognition of parasite eggs. In addition, the platform was deployed on the computer and smart phone terminals for use. Results An AI-assisted platform for detection of parasite eggs was successfully created. If the platform was deployed using the public cloud application programming interface (API), the average accuracy, precision and recall of the platform were 93.42%, 92.55% and 89.32% for recognition of parasite eggs. If the platform was deployed using the offline software development kit (SDK), the average accuracy, precision and recall of the platform were 92.97%, 94.78% and 87.63% for recognition of parasite eggs. In addition, the precision of the platform was 97.00% and 96.23% for identification of Taenia and C. sinensis eggs, respectively. Conclusions The AI-assisted platform for detection of parasite eggs has been successfully created, which is high in the accuracy for recognition of parasite eggs and convenient in use. This platform may provide a powerful technical support for parasitic disease diagnosis.