OBJECTIVE: To investigate the spatiotemporal patterns and socioeconomic factors influencing the incidence of tuberculosis (TB) in the Guangdong Province between 2010 and 2019. METHOD: Spatial and temporal variations in TB incidence were mapped using heat maps and hierarchical clustering. Socioenvironmental influencing factors were evaluated using a Bayesian spatiotemporal conditional autoregressive (ST-CAR) model. RESULTS: Annual incidence of TB in Guangdong decreased from 91.85/100,000 in 2010 to 53.06/100,000 in 2019. Spatial hotspots were found in northeastern Guangdong, particularly in Heyuan, Shanwei, and Shantou, while Shenzhen, Dongguan, and Foshan had the lowest rates in the Pearl River Delta. The ST-CAR model showed that the TB risk was lower with higher per capita Gross Domestic Product (GDP) [Relative Risk ( RR), 0.91; 95% Confidence Interval ( CI): 0.86-0.98], more the ratio of licensed physicians and physician ( RR, 0.94; 95% CI: 0.90-0.98), and higher per capita public expenditure ( RR, 0.94; 95% CI: 0.90-0.97), with a marginal effect of population density ( RR, 0.86; 95% CI: 0.86-1.00). CONCLUSION The incidence of TB in Guangdong varies spatially and temporally. Areas with poor economic conditions and insufficient healthcare resources are at an increased risk of TB infection. Strategies focusing on equitable health resource distribution and economic development are the key to TB control.
Humans ; China/epidemiology* ; Incidence ; Bayes Theorem ; Spatio-Temporal Analysis ; Tuberculosis/epidemiology* ; Socioeconomic Factors

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

A rapid quantitative immunochromatographic assay for procalcitonin(PCT)using metal-organic frameworks modified with gold and platinum nanoparticles(MAPs)as labels was established in this work.The detection probe was prepared by conjugating MAPs with anti-PCT monoclonal antibody via an electrostatic adsorption method.Anti-PCT polyclonal antibody and sheep anti-mouse IgG were sprayed onto the nitrocellulose(NC)membrane as the test line and quality control line,respectively,to construct immunochromatographic strip for PCT quantitative detection via signal-amplification-based sandwich immunoassay.The results showed that the MAP-based immunochromatographic test had high sensitivity,high specificity,and good stability.The dynamic range for detection of PCT was 0.61 pg/mL-320 ng/mL,the detection limit was 0.25 pg/mL,and the intra-day and inter-day precision(Relative standard deviation)were less than 15%.The results of real sample analysis showed that a quite low volume of sample was required for detection of PCT in whole blood,which was of great significance for the early diagnosis,monitoring and treatment,and prognosis of inflammation.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

Objective To investigate the application of artificial intelligence-based follow-up plan for patients after percutaneous coronary intervention(PCI).Methods The follow-up plan of artificial intelligence after PCI was constructed through literature review and expert correspondence consultation.A total of 82 patients with coronary heart disease who underwent PCI in the Second Affiliated Hospital of Nanchang University from October 2022 to November 2023 were selected and divided into intervention group and control group according to random number table method,with 41 cases in each group.The control group was given routine nursing program,and the intervention group was added artificial intelligence-based follow-up program on the basis of control group.The incidence of major adverse cardiovascular event(MACE)within 6 months,30 days readmission rate,medication compliance and satisfaction score were compared between two groups.Results The incidence of MACE within 6 months and 30 days readmission rate in intervention group were significantly lower than those in control group(P＜0.05).After 6 months of intervention,Morisky scale score and satisfaction score of patients in two groups were significantly higher than before intervention(P＜0.05),and Morisky scale score and satisfaction score of patients in intervention group were significantly higher than those in control group(P＜0.05).Conclusion Follow-up program based on artificial intelligence technology can reduce the incidence of MACE and 30 days readmission rate of patients after PCI.

AIM:To explore the roles and associations of hepatocyte nuclear factor 4 alpha(HNF4A)and mu-protocadherin(MUCDHL)in the kidney of diabetic mice.METHODS:(1)A cohort of six 12-week-old db/m mice and six db/db mice were selected and maintained on a standard diet until 16 weeks.The protein levels of fibronectin(FN),collagen type III(Col-III),E-cadherin,α-smooth muscle actin(α-SMA),HNF4A,Snail and MUCDHL in renal tissues were scrutinized using Western blot.Immunohistochemical staining was conducted to observe the distribution and expres-sion of FN,HNF4A and MUCDHL.(2)Mouse renal tubular epithelial cells(mRTEC)were cultured in vitro and catego-rized into groups:normal glucose(NG)group,high glucose(HG)group,overexpression control groups(NG+vector and HG+vector),overexpression groups(NG+OE-MUCDHL,HG+OE-MUCDHL,NG+OE-HNF4A and HG+OE-HNF4A),knockdown control groups(NG+control and HG+control),and knockdown groups(NG+si-MUCDHL,HG+si-MUCDHL,NG+si-HNF4A and HG+si-HNF4A).The relevant protein levels were also detected by Western blot.RESULTS:(1)In db/db group,elevated body weight,blood glucose and urine albumin-to-creatinine ratio(UACR)indicated significant re-nal injury.Compared with db/m group,the mice in db/db group exhibited increased expression of FN,Col-III,α-SMA and Snail,and decreased expression of E-cadherin,HNF4A and MUCDHL.MUCDHL was predominantly expressed in the apical membrane of renal tubular epithelial cells,FN in the tubular mesenchyme,and HNF4A in the plasma and nu-cleus of renal tubular cells.(2)In HG group,there was an up-regulation in the expression of fibrosis-related proteins and a down-regulation in the expression of E-cadherin,HNF4A and MUCDHL compared with NG group.Overexpression of MUCDHL led to a decrease in the expression of FN,Col-III,α-SMA and Snail proteins,an increase in the expression of E-cadherin and MUCDHL proteins,and unaltered expression of HNF4A.Knockdown of MUCDHL resulted in a reversal of the aforementioned effects,with HNF4A expression remaining unaltered.Overexpression of HNF4A led to an increased ex-pression of MUCDHL,and the expression changes of the remaining indicators were consistent with the overexpression of MUCDHL.Knockdown of HNF4A reversed the aforementioned effects.MUCDHL may represent a downstream target gene of HNF4A.CONCLUSION:The diminished expression of HNF4A and MUCDHL in the renal tubules of diabetic mice implies their involvement in the progression of renal fibrosis in diabetic kidney disease(DKD).HNF4A may potentially impede the progression of renal fibrosis in DKD by up-regulating the expression of MUCDHL.

Objective To investigate the effects of total flavones from Oxytropis falcata Bunge on hepatic fibrosis(HF)induced by carbon tetrachloride and liver transforming growth factor(TGF-β)/Smad signaling pathway.Methods Forty-eight male rats were randomly divided into normal group(intraperitoneal injection of peanut oil,intragastric administration of 0.9％NaCl),model group(intraperitoneal injection of 40％CC14 peanut oil solution induced HF model,intragastric administration of 0.9％NaCl),positive control group(modeling,intragastric administration of 0.2 mg·kg-1 of colchicine),experimental-L,-M,-H groups(modeling,intragastric administration of 100,200 and 400 mg·kg-1 of total flavonoid extract of Oxytropis falcata Bunge),8 individuals in each group,for 4 consecutive weeks.The histopathological changes were observed by hematoxylin-eosin and Masson staining.Serum liver function and liver fibrosis were measured;erum inflammatory factors were detected;fluorescence quantitative polymerase chain reaction(RT-qPCR)was used to determine gene expression in liver.Results The pathological injury of liver tissue in the model group was serious,and a large number of inflammatory factors and collagen fibers were accumulated,while the rest of the treatment groups had different degrees of remission.In normal group,model group,positive control group,experimental-L,-M,-H groups,glutamic-pyruvic transaminase levels were(49.28±12.44),(5 885.42±948.37),(4 454.60±489.27),(4 650.47±843.53),(3 761.75±887.30)and(3 544.90±1 066.75)μg·L-1;glutamic-oxaloacetic transaminase levels were(186.90±46.89),(5 936.23±793.81),(3 971.37±780.28),(4 360.30±863.35),(3 943.10±439.47)and(3 971.38±631.08)μg·L-1;hyaluronic acid levels were(45.08±17.16),(104.32±36.06),(66.83±20.09),(70.30±21.07),(60.00±9.68)and(59.02±10.73)μg·L-1;laminin levels were(23.13±3.89),(60.85±13.66),(35.67±9.92),(39.98±9.39),(36.55±12.21)and(34.68±24.83)μg·L-1;type Ⅲ procollagen level were(24.98±5.34),(82.58±30.14),(40.70±16.14),(51.08±23.21),(43.60±12.48)and(44.20±11.66)p±g·L-1;interleukin(IL)-1β levels were(37.63±1.24),(46.10±3.23),(39.22±2.36),(41.33±0.93),(40.25±2.04)and(39.18±2.23)pg·mL-1;tumor necrosis factor-α levels were(314.58±20.56),(383.71±16.97),(349.00±7.93),(348.88±25.11),(325.75±27.84)and(335.07±21.33)pg·mL-1;TGF-β1 mRNA expression of relative quantity respectively were 1.00±0.00,60.99±15.70,9.61±1.59,7.37±1.09,6.41±0.64,6.87±1.09;Smad7 mRNA relative expression were 1.00±0.00,0.34±0.05,0.21±0.03,0.35±0.02,0.38±0.02,0.42±0.03.The above indexes in the model group were compared with the normal group,and the above indexes in the experimental-M,-H groups were compared with the model group,and the differences were statistically significant(P＜0.05,P＜0.01,P＜0.001).Conclusion Total flavonoids of Oxytropis falcata Bunge have protective effects on CC14-induced liver fibrosis in rats,and the mechanism may be related to the regulation of TGF-β/Smad pathway.

Passing the hospital grading evaluation, establishing a tertiary-A specialized hospital for occupational diseases, enhancing hospital's internal quality and sustainable development, and continuously improving medical service quality are important measures to promote the high-quality development of hospitals. The evaluation standards for occupational disease specialized tertiary-A hospital require standardized, scientific, and sustainable management of medical equipment. Guangdong Province Hospital for Occupational Disease Prevention and Treatment is the first tertiary-A hospital for occupational diseases specialized in Guangdong Province. Relative regulation on medical equipment management was systematically reviewed based on the requirement of tertiary-A specialized hospital for occupational diseases during hospital grading evaluation process. Building and completing the medical equipment management system, standardizing and strengthening government procurement management, completing the configuration management and safety management of large-scale medical equipment, strengthening the effectiveness analysis and evaluation of large equipment, enhancing training on medical equipment usage, establishing emergency allocation systems for first-aid and life support medical equipment, and forming a medical equipment quality and safety management team is the measure to systematically improve and implement each item in various regulation for the full lifecycle management of medical equipment. It provides vital support in passing the tertiary-A hospital evaluation for hospitals. During the hospital grading evaluation process, each issue identified in medical equipment management was addressed and improved. This process continuously enhanced the hospital's medical equipment management level, ensured the safe and effective use of medical equipment, and improved the quality of medical services, laying a solid foundation for the hospital to become a high level specialized medical institution for occupational diseases.

T cell infiltration and proliferation in tumor tissues are the main factors that significantly affect the therapeutic outcomes of cancer immunotherapy. Emerging evidence has shown that interferon-gamma (IFNγ) could enhance CXCL9 secretion from macrophages to recruit T cells, but Siglec15 expressed on TAMs can attenuate T cell proliferation. Therefore, targeted regulation of macrophage function could be a promising strategy to enhance cancer immunotherapy via concurrently promoting the infiltration and proliferation of T cells in tumor tissues. We herein developed reduction-responsive nanoparticles (NPs) made with poly (disulfide amide) (PDSA) and lipid-poly (ethylene glycol) (lipid-PEG) for systemic delivery of Siglec15 siRNA (siSiglec15) and IFNγ for enhanced cancer immunotherapy. After intravenous administration, these cargo-loaded could highly accumulate in the tumor tissues and be efficiently internalized by tumor-associated macrophages (TAMs). With the highly concentrated glutathione (GSH) in the cytoplasm to destroy the nanostructure, the loaded IFNγ and siSiglec15 could be rapidly released, which could respectively repolarize macrophage phenotype to enhance CXCL9 secretion for T cell infiltration and silence Siglec15 expression to promote T cell proliferation, leading to significant inhibition of hepatocellular carcinoma (HCC) growth when combining with the immune checkpoint inhibitor. The strategy developed herein could be used as an effective tool to enhance cancer immunotherapy.

COVID-19 is caused by a novel coronavirus-severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), which has being spreading around the world, posing a serious threat to human health and lives. Neutralizing antibodies and small molecule inhibitors for virus replication cycle are the main antiviral treatment for novel coronavirus recommended in China. To further promote the rational use of antiviral therapy in clinical practice, the National Center for Infectious Diseases (Beijing Ditan Hospital Capital Medical University and the First Affiliated Hospital, Zhejiang University School of Medicine) invited experts in fields of infectious diseases, respiratory and intensive care to develop an Expert Consensus on Antiviral Therapy of COVID-19 based on the Diagnosis and Treatment Guideline for COVID-19 ( trial version 10) and experiences in the diagnosis and treatment of COVID-19 in China. The consensus is concise, practical and highly operable, hopefully it would improve the understanding of antiviral therapy for clinicians and provide suggestions for standardized medication in treatment of COVID-19.