Objective:To investigate the epidemiological characteristics and source distribution of newly diagnosed occupational diseases among workers from other provinces in Guangdong Province from 2006 to 2023, providing a basis for occupational health risk assessment and government decision-making.Methods:In July 2024, through the Occupational Disease Report Card of the Occupational Disease and Health Hazard Monitoring Information System of the China Disease Prevention and Control Information System, the basic information of newly diagnosed occupational disease cases reported online in Guangdong Province from 2006 to 2023 was collected, and the epidemiological characteristics of new occupational diseases among workers from other provinces were described. The locations of employment units and their source provinces of different cases were analyzed. Counting data were described by component ratio (%) and compared by Pearson χ2 test. Results:From 2006 to 2023, 9763 cases of newly diagnosed occupational diseases among workers from other provinces in Guangdong Province were reported, accounting for 78.82% (9763/12387) of the total number of occupational diseases in the province. The cases of occupational diseases were mainly concentrated in the Pearl River Delta region (94.93%, 9268/9763) and the manufacturing industry (86.97%, 8491/9763), and the domestic enterprises accounted for 57.35% (5593/9753). Newly diagnosed occupational disease cases were mainly from province A in Central China (2767 cases, 28.34%), province A in Southwest China (2323 cases, 23.79%) and a province in South China (1070 cases, 10.96%) .Conclusion:The proportion of newly diagnosed occupational diseases among workers from other provinces in Guangdong Province is relatively high, and the cases are concentrated in the regions, industries and source provinces.

Sacroiliac complex injuries are commonly seen in high-energy pelvic fractures. The injuries make a big difference in treatment patterns due to the diverse injury types, posing considerable challenges in formulating optimal treatment strategies, and hence are persistent clinical difficulties in orthopedic trauma. The clinical management of sacroiliac complex injuries presents several key challenges such as a non-negligible rate of missed diagnoses in associated vascular and visceral injuries, absence of standardized protocols for surgical approaches and reduction-fixation strategies across different injury patterns, and ongoing controversies regarding surgical indications and optimal timing for patients combined with concomitant lumbosacral plexus injuries. Currently, no systematic clinical guidelines are available for the diagnosis and treatment of sacroiliac complex injuries both domestically and internationally. To this end, the Pelvic and Acetabular Surgery Group, Orthopedic Branch, China International Exchange and Promotive Association for Medical and Health Care and Orthopedic Physician Branch, Chinese Medical Doctor Association organized a panel of domestic experts in the field to develop the Clinical guideline for the diagnosis and treatment of sacroiliac complex injuries ( version 2025), based on evidence-based medicine and adhering to the principles of scientific rigor, clinical applicability, and innovation. These guidelines provided 11 recommendations covering diagnosis, therapeutic principles and techniques, management protocols for lumbosacral plexus injuries, outcome evaluation, and postoperative rehabilitation pathways, etc., aiming to standardize the clinical management of sacroiliac complex injuries.

Objective:To construct a risk scoring system for predicting the risk of postoperative urosepsis by analyzing the perioperative risk factors of retrograde intrarenal surgery (RIRS).Methods:A retrospective study was conducted on 180 patients with renal calculi admitted to the Guangyuan Central Hospital from January 2019 to December 2020. Among them, 30 patients who developed urosepsis after RIRS were included in the observation group. Using a nested case-control study design, 150 patients without urosepsis during the same period were selected as the control group at a 1∶5 matching ratio. Logistic regression analysis was used to screen the independent risk factors for postoperative urosepsis after RIRS, and a risk scoring system for postoperative urosepsis after RIRS was established based on the logical scoring method. Fifty percent of the cases (90 cases in total) from the above model were selected as validation samples. The model performance was evaluated using discrimination and calibration indicators. The receiver operating characteristic (ROC) curve was used to assess the discriminative ability of the scoring system, and the goodness-of-fit test was used to measure its calibration ability. High-risk patients were identified according to the optimal cut-off value of the ROC curve.Results:Multivariate logistic regression analysis showed that female gender ( β=1.575, P=0.003), positive urine nitrite (NIT) ( β=2.019, P<0.001), peripheral blood neutrophil-to-lymphocyte ratio (NLR)≥2.5 ( β=1.491, P=0.005), operation time>90 minutes ( β=1.716, P=0.005), and procalcitonin (PCT)>0.5 ng/ml ( β=1.347, P=0.011) were independent risk factors for postoperative urosepsis after RIRS. Using the above 5 factors, a risk scoring system for postoperative urosepsis after RIRS (referred to as the " WNNOP Scoring System" ) was constructed based on the logical scoring method: 1 point for female gender, 1 point for positive urine NIT, 1 point for peripheral blood NLR≥2.5, 1 point for operation time>90 minutes, and 1 point for PCT>0.5 ng/ml, with a total score of 5 points; a score≥3 points indicated a high-risk population. The area under the ROC curve (AUC) of the WNNOP Scoring System for predicting postoperative urosepsis after RIRS was 0.893(95% CI: 0.835-0.952, P<0.001). The goodness-of-fit test showed no statistically significant difference between the predicted and actual values of the model (χ 2=2.229, P=0.898). Fifty percent of the cases (90 cases in total) were randomly selected from the model samples for internal validation. The results showed that the AUC of the ROC curve of the scoring system was 0.877(95% CI: 0.786-0.968, P<0.001), and the goodness-of-fit test showed no statistically significant difference between the predicted and actual values of the model (χ 2=10.040, P=0.186), indicating that the risk scoring system had good performance in terms of discrimination and calibration. Conclusions:The WNNOP Scoring System developed in this study can initially assess the risk of postoperative urosepsis in patients undergoing RIRS. If the score is ≥3 points, close attention should be paid during the perioperative period and relevant preventive measures should be taken.

Objective To analyze the epidemiological characteristics of newly diagnosed occupational chemical poisoning (OCP) cases in Guangdong Province from 2006 to 2023. Methods The basic information of newly diagnosed OCP cases in Guangdong Province from 2006 to 2023 was collected from the Occupational Disease Report Card of the occupational disease network reporting system in China. The epidemiological characteristics were analyzed by the descriptive epidemiological methods. Results A total of 2 201 newly diagnosed OCP cases were reported in Guangdong Province during 2006-2023, showing a fluctuating downward trend with an average annual decrease rate of 6.98%. Occupational acute chemical poisoning (OACP) and occupational chronic chemical poisoning (OCCP) accounted for 18.08% and 81.92% of cases, respectively. Among the OACP cases, the top five disease categories were other OCP, occupational acute 1,2-dichloroethane poisoning, occupational acute dimethylformamide poisoning, occupational acute organophosphate poisoning, and occupational acute hydrogen sulfide poisoning, accounting for 77.14% (307/398). Among the OCCP cases, the top five disease categories were occupational chronic benzene poisoning, occupational chronic n-hexane poisoning, occupational chronic lead poisoning, occupational chronic cadmium poisoning and occupational chronic mercury poisoning, accounting for 97.67% (1 761/1 803), with occupational chronic benzene poisoning being the most prevalent (67.22%). Newly diagnosed OCP cases were predominantly concentrated in the Pearl River Delta region (96.00%), particularly in Dongguan City, Shenzhen City, and Guangzhou City, accounting for 69.29%. The cases mainly occurred in the manufacturing industry, domestically funded enterprises, and small- and medium-sized enterprises, accounting for 93.82%, 54.98%, and 70.88%, respectively. Males accounted for 52.57% of cases, individuals aged <50 years accounted for 91.32%, and workers with <5 years of service accounted for 60.29%. There were significant differences in the distribution of gender, age and length of service between the OACP and OCCP cases (all P<0.01). Conclusion The newly diagnosed OCP cases in Guangdong Province demonstrates a pattern characterized by concentration in disease types, geographic regions, industries, enterprise types, and affected populations, along with a high level of social risk, which was summarized as the feature of "five areas of concentrations and one high-risk factor".

Objective To screen the key N6-methyladenosine(m6A)methylation related genes in renal clear cell carcinoma(ccRCC),and to study their expression and relationship with the prognosis,migration and invasion of renal clear cell carcinoma.Methods The RNA sequencing data and clinical data of ccRCC and ad-jacent tissues were downloaded from the Cancer Genome Atlas(TCGA)and GTEx(Genotype-Tissue Expres-sion).The expression profile and prognosis were analyzed with R 4.1.1,and the key genes were screened.Clinical specimens of 10 patients with ccRCC were collected.The mRNA and protein expressions were detec-ted by RT-qPCR and immunohistochemistry,respectively.In human ccRCC cell line RCC23,siRNA was used to knock down key genes,and CCK-8 was used to detect the survival rate of cells.Scratch test and Trans well test were used to detect the migration and invasion of cells,respectively.Results Among the 19 m6A methyl-ation related genes,only insulin-like growth factor 2 mRNA binding protein 3(IGF2BP3)was highly ex-pressed in cancer tissues,and the high expression was significantly positively correlated with poor prognosis.The high expression of IGF2BP3 was verified in clinical specimens by RT-qPCR and immunohistochemistry.After knockdown of IGF2BP3 by siRNA,the survival rate of RCC23 cells decreased significantly,and the mi-gration and invasion ability of cut cells decreased.Conclusion These results suggest that IGF2BP3 may be an effective biomarker and potential drug target for predicting the prognosis of patients with ccRCC.

Objective To analyze the risk factors of multi-drug resistant bacterial infection of urinary system in type 2 diabetes mellitus(T2DM)patients and establish a decision tree model.Methods A total of 371 patients with T2DM were selected and divided into infected(IF,n=47)group and non-infected(NIF,n=324)group.The influencing factors of multi-drug resistant urinary system infection were analyzed in patients with T2DM.IBM SPSS Modeler was used to establish a decision tree model for predicting multi-drug resistant urinary system infection.Results The infection rate of multidrug resistant bacteria in urinary system was 12.67%.Age,female proportion,DM duration,use of antibiotics before admission,length of hospital stay,and hemoglobin A1c(HbA1c)in IF group were higher than that in NIF group(P<0.05).Logistic regression analysis showed that age≥60 years old(OR 2.629,95%CI 1.349～5.125,P=0.005),woman(OR 3.044,95%CI 1.506～6.151,P=0.002),DM duration≥10 years(OR 3.320,95%CI 1.671～6.593,P=0.001),length of hospital stay>15 days(OR 2.406,95%CI 1.237～4.682,P=0.010)and HbA1c>8.02%(OR 2.363,95%CI 1.210～4.617,P=0.012)were influencing factors for multidrug-resistant bacteria infection of urinary system.Decision tree model showed that sex was the most important factor in urinary multidrug-resistant infections.Receiver operating characteristic curve results showed that the area under the curve value of Logistic regression model was slightly higher than that of decision tree(Z=1.465,P=0.143).Conclusions Age,sex,DM duration,length of hospital stay,and HbA1c are the influencing factors of T2DM patients complicated with urinary multi-drug resistant bacteria infection,the decision tree model established in this study has good risk prediction efficiency,which is helpful for early clinical identification of high-risk patients with multi-drug resistant bacteria infection of urinary system.

Cell is the most basic unit of life,and normal metabolism is the key to cell growth and development.Reactive oxygen species(ROS)are important regulators of cell function,and hypoxi-a-inducible factor-1 alpha(HIF-1α)is a ROS receptor,which can activate transient receptor poten-tial vanilloid(TRPV)channel.TRPV is a sensor for temperature,pain,and osmotic pressure.Changes in the environment can induce changes in the activity of TRPV channel,which regulates various physiological and pathological processes of cells through its downstream signaling path-ways.Low temperature plasma can regulate cellular TRPV channel activity through HIF-1α.This article mainly reviews the effect of HIF-1α on cell function through TRPV channel,which has ref-erence significance for future research on various diseases related to TRPV channel and their pre-vention and treatment,as well as provides a new idea for using low temperature plasma technology to treat diseases through regulating TRPV channel.

Cell is the most basic unit of life,and normal metabolism is the key to cell growth and development.Reactive oxygen species(ROS)are important regulators of cell function,and hypoxi-a-inducible factor-1 alpha(HIF-1α)is a ROS receptor,which can activate transient receptor poten-tial vanilloid(TRPV)channel.TRPV is a sensor for temperature,pain,and osmotic pressure.Changes in the environment can induce changes in the activity of TRPV channel,which regulates various physiological and pathological processes of cells through its downstream signaling path-ways.Low temperature plasma can regulate cellular TRPV channel activity through HIF-1α.This article mainly reviews the effect of HIF-1α on cell function through TRPV channel,which has ref-erence significance for future research on various diseases related to TRPV channel and their pre-vention and treatment,as well as provides a new idea for using low temperature plasma technology to treat diseases through regulating TRPV channel.

Objective To analyze the risk factors of multi-drug resistant bacterial infection of urinary system in type 2 diabetes mellitus(T2DM)patients and establish a decision tree model.Methods A total of 371 patients with T2DM were selected and divided into infected(IF,n=47)group and non-infected(NIF,n=324)group.The influencing factors of multi-drug resistant urinary system infection were analyzed in patients with T2DM.IBM SPSS Modeler was used to establish a decision tree model for predicting multi-drug resistant urinary system infection.Results The infection rate of multidrug resistant bacteria in urinary system was 12.67%.Age,female proportion,DM duration,use of antibiotics before admission,length of hospital stay,and hemoglobin A1c(HbA1c)in IF group were higher than that in NIF group(P<0.05).Logistic regression analysis showed that age≥60 years old(OR 2.629,95%CI 1.349～5.125,P=0.005),woman(OR 3.044,95%CI 1.506～6.151,P=0.002),DM duration≥10 years(OR 3.320,95%CI 1.671～6.593,P=0.001),length of hospital stay>15 days(OR 2.406,95%CI 1.237～4.682,P=0.010)and HbA1c>8.02%(OR 2.363,95%CI 1.210～4.617,P=0.012)were influencing factors for multidrug-resistant bacteria infection of urinary system.Decision tree model showed that sex was the most important factor in urinary multidrug-resistant infections.Receiver operating characteristic curve results showed that the area under the curve value of Logistic regression model was slightly higher than that of decision tree(Z=1.465,P=0.143).Conclusions Age,sex,DM duration,length of hospital stay,and HbA1c are the influencing factors of T2DM patients complicated with urinary multi-drug resistant bacteria infection,the decision tree model established in this study has good risk prediction efficiency,which is helpful for early clinical identification of high-risk patients with multi-drug resistant bacteria infection of urinary system.

Sacroiliac complex injuries are commonly seen in high-energy pelvic fractures. The injuries make a big difference in treatment patterns due to the diverse injury types, posing considerable challenges in formulating optimal treatment strategies, and hence are persistent clinical difficulties in orthopedic trauma. The clinical management of sacroiliac complex injuries presents several key challenges such as a non-negligible rate of missed diagnoses in associated vascular and visceral injuries, absence of standardized protocols for surgical approaches and reduction-fixation strategies across different injury patterns, and ongoing controversies regarding surgical indications and optimal timing for patients combined with concomitant lumbosacral plexus injuries. Currently, no systematic clinical guidelines are available for the diagnosis and treatment of sacroiliac complex injuries both domestically and internationally. To this end, the Pelvic and Acetabular Surgery Group, Orthopedic Branch, China International Exchange and Promotive Association for Medical and Health Care and Orthopedic Physician Branch, Chinese Medical Doctor Association organized a panel of domestic experts in the field to develop the Clinical guideline for the diagnosis and treatment of sacroiliac complex injuries ( version 2025), based on evidence-based medicine and adhering to the principles of scientific rigor, clinical applicability, and innovation. These guidelines provided 11 recommendations covering diagnosis, therapeutic principles and techniques, management protocols for lumbosacral plexus injuries, outcome evaluation, and postoperative rehabilitation pathways, etc., aiming to standardize the clinical management of sacroiliac complex injuries.