Objective To investigate the awareness of radon exposure hazards among non-uranium miners in Chongqing, China. Methods A survey was conducted among 177 male miners from eight non-uranium metal mines in Chongqing to collect data on basic information, personal habits, and the rate of radon awareness. Factors affecting radon awareness were analyzed using chi-square test and logistic regression model. Results The awareness rate of radon among miners was 23.73%. The chi-square test indicated significant difference in the radon awareness rate among miners with different levels of education (χ² = 10.28, P < 0.05), while there was no significant difference across different ages, years of work, labor relations, job categories, and types of miners (P > 0.05). Binary logistic regression analysis showed that a college (junior college) or higher level of education, a high school level of education, and working in mines were factors affecting the radon awareness among miners (χ² = 4.030, 9.150, 11.776, P < 0.05). Conclusion Miners lack awareness of radon, and there is an urgent need to strengthen education and propaganda regarding the hazards of radon.

Objective:To compare the diagnostic efficacy of 22 G fine needle aspiration (FNA) needles and 22 G end-cutting fine needle biopsy (FNB) needles for solid pancreatic lesion using both cytological and histological examination.Methods:Clinical data of 116 patients who underwent endoscopic ultrasound-guided fine needle aspiration/biopsy (EUS-FNA/FNB) at the Digestive Endoscopy Center of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine from June 2022 to March 2023 were retrospectively analyzed. Sixty-three patients sampled with 22 G FNA needles were the FNA group, and 53 sampled with 22 G FNB needles were the FNB group. The diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and cytological and histological diagnostic yield of FNA needles and FNB needles for solid pancreatic lesions were compared.Results:There were no significant differences in age, gender, lesion location, lesion size, or the number of passes between the FNA group and the FNB group ( P>0.05). There were no significant differences in the diagnostic accuracy [93.7% (59/63) VS 90.6% (48/53), P=0.730], sensitivity [93.0% (53/57) VS 90.2% (46/51), P=0.732], specificity [100.0% (6/6) VS 100.0% (2/2), P=1.000], positive predictive value [100.0% (53/53) VS 100.0% (46/46), P=1.000] and negative predictive value [60.0% (6/10) VS 28.6% (2/7), P=0.335] of combined cytology and histology in distinguishing benign and malignant lesions between the two groups. In the FNA group, the diagnostic accuracy of combined cytology and histology was higher than cytology alone [93.7% (59/63) VS 81.0% (51/63), P=0.008], and was higher than histology alone without statistical significance [93.7% (59/63) VS 87.3% (55/63), P=0.125]. In the FNB group, the diagnostic accuracy of combined cytology and histology was higher than cytology alone [90.6% (48/53) VS 69.8% (37/53), P=0.001], but not than histology alone [90.6% (48/53) VS 90.6% (48/53)， P=1.000]. For solid masses located in pancreatic body/tail, the diagnostic accuracy for malignancy by histology using FNB needles tended to be higher than that of FNA needles [100.0% (17/17) VS 81.3% (26/32), P=0.080]. Conclusion:Both FNA needles and FNB needles exhibit adequate diagnostic yield for solid pancreatic masses when combining cytology and histology. FNB needles may offer a higher histological diagnostic yield.

Objective To propose a multi-cascade deep learning processor-based surgical instrument detection and pose estimation algorithm to facilitate the robotic scurb nurse to recognize and delivery surgical instruments.Methods The proposed multi-cascade deep leaning processor-based CYSP algorithm was hibernated with several functional modules such as YOLOX with coordinate attention block(CA-YOLOX),segment anything model(SAM)and principal component analysis(PCA).Firstly,CA-YOLOX was applied to identifying the types of the surgical instruments and completing the coarse positioning of x and y coordinates;secondly,the SAM segmenter was used to clarify the positions of the instruments in the RGB image,and the depth information and internal parameters of the camera were introduced to obtain the point cloud of the surgical instruments;finally,the center of mass,principal direction and normal direction of the surgical instrument point cloud were determined through the PCA algorithm,with which the rotation and translation(RT)matrix between the target coordinate system(surgical instrument center of mass coordinate system)and the base coordinate system of the robotic arm was solved,and the matrix was converted into a quaternion and then transmitted to the robotic arm control unit so as to drive the robotic arm to arrive at the corresponding position and pick up the instrument to complete the instrument delivery task.Migration training was accomplished on a self-constructed surgical instrument image dataset and the effectiveness of the proposed algorithm was evaluated,and instrument delivery experiments were performed on a seven-degree-of-freedom robotic arm and the success rate of the algorithm was assessed.Results The multi-cascade deep leaning processor-based CYSP algorithm had a recognition accuracy of 98.52％on the surgical instrument dataset,a success rate of 94％for the in-strument delivery experiment and average time for recognition of 0.28 s.Conclusion The multi-cascade deep leaning proces-sor-based CYSP algorithm with high reliability and practicability behaves well in facilitating the robotic scurb nurse to recog-nize and deliver surgical instruments.[Chinese Medical Equipment Journal,2024,45(6):1-8]

Objective:To explore the relationship between the expressions of P21,P27 and proliferating cell nuclear antigen(PCNA)in glomerular mesangial tissue and poor renal prognosis in patients with immunoglobulin A(IgA)nephropathy.Methods:A total of 145 patients with IgA nephropathy treated in Xiaogan Central Hospital from April 2017 to August 2019 were selected as the research object.The expressions of P21,P27 and PCNA in glomerular mesangial tissue were detected by immunohistochemistry.All patients were followed up for 24 months,and the prognosis were counted.The expressions of P21,P27 and PCNA in glomerular mesangial tissue of patients with different prognosis were compared and the influencing factors of poor prognosis in patients with IgA nephropathy were analyzed by Logistic regression analysis.Results:The expression rates of P21,P27 and PCNA positive cells in glomerular mesangial tissue of patients with IgA nephropathy were(38.69±6.83)%,(55.94±8.08)%,(33.47±5.72)%,respectively.The incidence rete of poor prognosis in patients with IgA nephropathy was 17.24%,and the expression rates of P21 and PCNA positive cells in glomerular mesangial tissue of patients with poor prognosis were higher than those in good prognosis group(P<0.05),while the expression rate of P27 positive cells was lower than that in good prognosis group(P<0.05).Logistic multiple regression analysis showed that elevated diastolic blood pressure,increased 24 h proteinuria,mesangial cell proliferation,segmental glomerulosclerosis,renal tubular atrophy/interstitial fibrosis,crescentic body,increased expression rates of P21 and PCNA positive cells and decreased expression rate of P27 positive cells were all risk factors affecting the poor prognosis of patients with IgA nephropathy(P<0.05).Conclusion:There are positive expressions of P21,P27 and PCNA in glomerular mesangial tissue of IgA nephropathy.The expression rates of P21 and PCNA positive cells in glomerular mesangial tissue of of patients with poor prognosis of IgA nephropathy are higher than those with good prognosis,while the expression rate of P27 protein positive cells is lower than those with good prognosis,which are risk factors for poor prognosis of patients with IgA nephropathy.

Aprocitentan is a dual endothelin receptor antagonist.Based on the effective evidence of Ⅲ phases of clinical trials,the drug was approved for marketing by the U.S.Food and Drug Administration on March 19,2024 for the treatment of refractory hypertension.At present,multiple clinical studies have confirmed that Aprocitentan has excellent antihypertensive effects and good tolerability.This article reviews the pharmacological effects,preclinical.

A precursor ion selection (PIS) based ultra high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-Q-TOF-MS) analytical method was used to screen the chemical components in Jiawei Dingzhi pills (JWDZP) comprehensively and rapidly. To compile the components of the compound medicine, a total of 1 921 components were found utilizing online databases and literature. After verifying the sources, unifying the component names, merging the multi-flavor attributed components, and removing the weak polar molecules, 450 components were successfully retained. The Acquity UPLC HSS T3 column (100 mm × 2.1 mm, 1.8 μm) was used, with a 0.1% formic acid water (A)-acetonitrile (B) as the mobile phase. The flow rate was 0.35 mL·min^-1, the column temperature was 35 ℃, and an electrospray ion source was used. Data was collected with the PIS strategy in both positive and negative ion modes. Compounds were screened through matching accurate molecular weight of the database, and identified according to MS/MS data (characteristic fragment ions and neutral loss), with comparison of reference. Some compounds were confirmed using standard products. A total of 176 compounds were screened out in the extract of JWDZP, among which 26 compounds were confirmed by standard products. These compounds include 96 components from the sovereign drug, and 34 coefflux components with low ion intensity. The PIS-UHPLC-Q-TOF-MS/MS method established in this study can quickly and comprehensively screen the chemical components of JWDZP, which enhanced the screening rate of components with co-elution compounds of low ion intensities and provided a basis for the study of the material foundation of JWDZP.

Objective To screen Cuproptosis genes and characteristic genes for differential prognosis in acute mye-loid leukemia(AML)and explore their prognosis in AML as well as their biological roles and correlations in the immune and tumor microenvironment.Methods AML clinical,transcriptome,genomic,and copy number data were downloaded from three major databases,TCGA,GEO,and UCSC,and Cuproptosis genes were collected from published studies.From the perspective of multiomics,the effects of Cuproptosis gene and characteristic gene on survival,immunity,tumor microenvironment,stem cell correlation and drug sensitivity were studied by various bioinformatics methods,meta-analysis and secondary typing.Results One Cuproptosis gene was identified as a differential prognostic gene in AML and five characteristic genes were identified as influencing the prognosis of AML patients by influencing Cuproptosis,and a prognostic model was established.The differential genes were mainly concentrated in mitochondrial activity,REDOX enzyme and energy metabolism.In terms of immunity,macrophage M0,neutrophils,activated memory CD4 T cells and Tregs were positively correlated with risk score,while macro-phage M2,resting mast cells,immature CD4 T cells,helper follicular T cells and memory B cells were negatively correlated with risk score.In terms of tumor microenvironment,the immune cell score of the low-risk group was lower than that of the high-risk group,and in the total score,the tumor microenvironment score of the low-risk group was also lower than that of the high-risk group,indicating that the tumor purity of the high-risk group was lower than that of the low-risk group.However,there was no significant association between stem cells in the high-risk and low-risk groups,and a total of 14 drugs were found to be sensitive to treat AML.Conclusion Cuproptosis gene and characteristic gene are closely related to immune and tumor microenvironment in AML by constructing a prognostic model of AML.

Objective:To establish an early warning model to assess the mortality risk of patients with heat stroke disease.Methods:The case data of patients diagnosed with heat stroke disease admitted to the comprehensive ICU of Shanshan County from January 2016 to December 2020 were selected. According to the short-term outcome (28 days) of patients, they were divided into death group (20 cases) and survival group (53 cases) . The relevant indicators with statistically significant differences between groups within 24 hours after admission were selected. By drawing the subject work curve (ROC) and calculating the area under the curve, the relevant indicators with the area under the curve greater than 0.7 were selected, Fisher discriminant analysis was used to establish an assessment model for the death risk of heat stroke disease. The data of heat stroke patients from January 1, 2021 to December 2022 in the comprehensive ICU of Shanshan County were collected for external verification. Results There were significant differences in age, cystatin C, procalcitonin, platelet count, CKMB, CK, CREA, PT, TT, APTT, heart rate, respiratory rate and GLS score among the groups. Cystatin C, CKMB, CREA, PT, TT, heart rate AUC area at admission was greater than 0.7. Fisher analysis method is used to build a functional model.Results:The diagnostic sensitivity, specificity and AUC area of the functional model were 95%, 83% and 0.937 respectively. The external validation results showed that the accuracy of predicting survival group was 85.71%, the accuracy of predicting death group was 88.89%.Conclusion:The early warning model of heat stroke death constructed by ROC curve analysis and Fisher discriminant analysis can provide objective reference for early intervention of heat stroke.

Objective To explore the safety and management mode of hysteroscopy in three different modes:outpatient,daily and inpatient.Methods The quality control data of patients who underwent hysteroscopic surgery in Hysterscopy Centre,Obstetrics and Gynecology Hospital,Fudan University from Jan 2019 to Dec 2021 were collected through the electronic information system of the hospital and the monthly quality control report of hysteroscopy center.The amount of surgery,the proportion of grade Ⅳsurgery,the analysis of operation types,the indicator including complications,and unanticipated secondary surgery were retrospectively analyzed.Results From 2019 to 2021,5 162 outpatient hysteroscopic patients,15 331 daily hysteroscopic patients and 5 942 inpatient hysteroscopic patients were admitted in our hospital.The age of inpatient hysteroscopic patients was significantly older than those of outpatient and daily patients(P<0.001).In the past three years,the proportion of daily hysteroscopy gradually increased,and the proportion of inpatient hysteroscopy gradually decreased(P<0.001).The total percentage of grade Ⅳ hysteroscopic surgery was 12.9%,in which inpatient was higher than daily,and daily was higher than outpatient(P<0.001).The incidence of complications and accidents during hysteroscopy was 0.117%(31/26 435),including 17 cases of uterine perforation,7 cases of hysteroscopy failure,3 cases of excessive intraoperative bleeding,2 cases of fluid overload,1 case of intestinal injury,and 1 case of anesthesia accident.The incidence of hysteroscopy in outpatient,daily and inpatient were 0.020%(1/5 162),0.137%(21/15 331)and 0.151%(9/5 942)respectively.Conclusion Hysteroscopy in outpatient,daily and inpatient are all safe and reliable.Outpatient and daily hysteroscopy can improve the efficiency of medical services,which has gradually become a trend.

Objective:To establish an early warning model to assess the mortality risk of patients with heat stroke disease.Methods:The case data of patients diagnosed with heat stroke disease admitted to the comprehensive ICU of Shanshan County from January 2016 to December 2020 were selected. According to the short-term outcome (28 days) of patients, they were divided into death group (20 cases) and survival group (53 cases) . The relevant indicators with statistically significant differences between groups within 24 hours after admission were selected. By drawing the subject work curve (ROC) and calculating the area under the curve, the relevant indicators with the area under the curve greater than 0.7 were selected, Fisher discriminant analysis was used to establish an assessment model for the death risk of heat stroke disease. The data of heat stroke patients from January 1, 2021 to December 2022 in the comprehensive ICU of Shanshan County were collected for external verification. Results There were significant differences in age, cystatin C, procalcitonin, platelet count, CKMB, CK, CREA, PT, TT, APTT, heart rate, respiratory rate and GLS score among the groups. Cystatin C, CKMB, CREA, PT, TT, heart rate AUC area at admission was greater than 0.7. Fisher analysis method is used to build a functional model.Results:The diagnostic sensitivity, specificity and AUC area of the functional model were 95%, 83% and 0.937 respectively. The external validation results showed that the accuracy of predicting survival group was 85.71%, the accuracy of predicting death group was 88.89%.Conclusion:The early warning model of heat stroke death constructed by ROC curve analysis and Fisher discriminant analysis can provide objective reference for early intervention of heat stroke.