BACKGROUND:Currently,treatment method for knee osteoarthritis includes oral medicine,joint cavity drug injection,and physiotherapy,but the curative effect is limited.Existing studies have confirmed that silicon-based bioceramics can promote cartilage and subchondral bone repair and vascular regeneration.OBJECTIVE:To explore the effect of different concentrations of silicon-based bioceramics injected into the knee joint cavity in the treatment of knee osteoarthritis in rats.METHODS:Silicon-based bioceramics-calcium silicate was prepared.Twenty-five SD rats were randomly divided into five groups,with five rats in each group.The healthy group did not receive any intervention,and the modeling group,low-dose calcium silicate group,high-dose calcium silicate group,and saline group used anterior cruciate ligament transection to establish bilateral knee osteoarthritis models.Four weeks after modeling,0.05 mL of 50 and 100 mg/mL calcium silicate solution were injected into the knee joint cavity in the low-dose calcium silicate group and high-dose calcium silicate group,respectively,and 0.05 mL of saline was injected into the knee joint cavity in the saline group,once a week for 4 consecutive weeks.In the fifth week of administration,bilateral knee joint Micro-CT detection,knee joint cartilage hematoxylin-eosin staining,and modified Mankin score were performed.RESULTS AND CONCLUSION:(1)Micro-CT quantitative analysis showed that compared with the healthy group,the volume fraction and number of trabeculae of the medial tibial plateau in the modeling group decreased(P＜0.05),and the separation of trabeculae increased(P＜0.05).Compared with the modeling group,the volume fraction and number of trabeculae of the medial tibial plateau in the low-dose calcium silicate group and the saline group increased(P＜0.05),and the separation of trabeculae decreased(P＜0.05).(2)Hematoxylin-eosin staining showed that the cartilage surface of the healthy group and the low-dose calcium silicate group was relatively smooth and flat,the chondrocytes were evenly distributed,without clustered chondrocytes,the tide line was complete,and the staining was uniform;the cartilage surface of the high-dose calcium silicate group was slightly uneven,the middle and deep cells were disordered,with a small number of clustered chondrocytes,the tide line was discontinuous,and the staining was uneven;the cartilage surface of the saline group and the modeling group was obviously rough,the cells were disordered,with a large number of clustered chondrocytes,the tide line disappeared,and the staining was uneven.The modified Mankin score of the healthy group was lower than that of the high-dose calcium silicate group,the saline group,and the modeling group(P＜0.05).The modified Mankin score of the high-dose calcium silicate group and the low-dose calcium silicate group was lower than that of the saline group and the modeling group(P＜0.05).(3)The results show that calcium silicate knee joint injection has a certain effect in the treatment of knee osteoarthritis.Compared with 100 mg/mL calcium silicate solution,50 mg/mL calcium silicate solution can promote the recovery of subchondral bone and cartilage.

BACKGROUND:Currently,treatment method for knee osteoarthritis includes oral medicine,joint cavity drug injection,and physiotherapy,but the curative effect is limited.Existing studies have confirmed that silicon-based bioceramics can promote cartilage and subchondral bone repair and vascular regeneration.OBJECTIVE:To explore the effect of different concentrations of silicon-based bioceramics injected into the knee joint cavity in the treatment of knee osteoarthritis in rats.METHODS:Silicon-based bioceramics-calcium silicate was prepared.Twenty-five SD rats were randomly divided into five groups,with five rats in each group.The healthy group did not receive any intervention,and the modeling group,low-dose calcium silicate group,high-dose calcium silicate group,and saline group used anterior cruciate ligament transection to establish bilateral knee osteoarthritis models.Four weeks after modeling,0.05 mL of 50 and 100 mg/mL calcium silicate solution were injected into the knee joint cavity in the low-dose calcium silicate group and high-dose calcium silicate group,respectively,and 0.05 mL of saline was injected into the knee joint cavity in the saline group,once a week for 4 consecutive weeks.In the fifth week of administration,bilateral knee joint Micro-CT detection,knee joint cartilage hematoxylin-eosin staining,and modified Mankin score were performed.RESULTS AND CONCLUSION:(1)Micro-CT quantitative analysis showed that compared with the healthy group,the volume fraction and number of trabeculae of the medial tibial plateau in the modeling group decreased(P＜0.05),and the separation of trabeculae increased(P＜0.05).Compared with the modeling group,the volume fraction and number of trabeculae of the medial tibial plateau in the low-dose calcium silicate group and the saline group increased(P＜0.05),and the separation of trabeculae decreased(P＜0.05).(2)Hematoxylin-eosin staining showed that the cartilage surface of the healthy group and the low-dose calcium silicate group was relatively smooth and flat,the chondrocytes were evenly distributed,without clustered chondrocytes,the tide line was complete,and the staining was uniform;the cartilage surface of the high-dose calcium silicate group was slightly uneven,the middle and deep cells were disordered,with a small number of clustered chondrocytes,the tide line was discontinuous,and the staining was uneven;the cartilage surface of the saline group and the modeling group was obviously rough,the cells were disordered,with a large number of clustered chondrocytes,the tide line disappeared,and the staining was uneven.The modified Mankin score of the healthy group was lower than that of the high-dose calcium silicate group,the saline group,and the modeling group(P＜0.05).The modified Mankin score of the high-dose calcium silicate group and the low-dose calcium silicate group was lower than that of the saline group and the modeling group(P＜0.05).(3)The results show that calcium silicate knee joint injection has a certain effect in the treatment of knee osteoarthritis.Compared with 100 mg/mL calcium silicate solution,50 mg/mL calcium silicate solution can promote the recovery of subchondral bone and cartilage.

Yttrium-90 microsphere selective internal radiation therapy (SIRT), also known as transarterial radioembolization, has become one of the pivotal treatments for liver cancer, particularly for selected advantageous patient groups. This review summarizes the characteristics of different patients with liver cancer that could obtain maximum benefit from SIRT and discusses key factors affecting efficacy and safety, including tumor characteristics, liver function, patient performance status, and treatment intent. In evaluating appropriate candidates, mapping serves as a crucial simulation procedure to assess tumor vascular anatomy, predict lung shunting, and guide catheter positioning and dose planning. This procedure substantially enhances therapeutic precision while minimizing the risk of nontarget radiation-related adverse events, such as radiation-induced pneumonitis and gastrointestinal toxicity. Several studies have suggested that SIRT is not only suitable for patients with early or limited hepatocellular carcinoma but can also be used as a bridging therapy for liver transplantation and conversion therapy for unresectable liver cancers. In combination with systemic treatments, SIRT has demonstrated survival benefits in patients with unresectable liver cancer. This review also highlights the importance of further optimizing patient screening through personalized dosimetry and mapping to ensure the precision and safety of treatment. A thorough review of relevant literature and clinical practice offers clinicians comprehensive suggestions on patient screening and clarifies the promise of SIRT in the liver cancer population.

Objective To investigate the risk factors for cardiovascular disease(CVD)in patients with rheumatoid arthritis(RA).Methods Clinical data of 225 patients with RA admitted to the Second Affiliated Hospital of Zhengzhou University from January 2023 to September 2024 were collected,and the patients were divided into CVD group(n=50)and non-CVD group(n=175)according to whether they were complicated by CVD.Univariate and multivariate Logistic regression was used to analyze the risk factors of CVD in RA patients.Results Univariate Logistic regression analysis showed that age,hematocrit,red cell volume distribution width(RDW),erythrocyte sedimentation rate,neutrophil to high density lipoprotein ratio(NHR)and platelet to lymphocyte ratio(PLR)were all influencing factors for CVD in RA patients(P＜0.05).Multivariate Logistic regression analysis showed that age,RDW,NHR and PLR were all risk factors for CVD in RA patients(P＜0.05).The results of receiver operating characteristic curve analysis showed that the area under the curve(AUC)of age,RDW,NHR and PLR diagnosed CVD in RA patients were 0.844,0.797,0.572 and 0.713,respectively.The combined diagnosis AUC of four indexes was 0.898.Conclusion The risk of CVD in RA patients is influenced by many factors,and the combination of age,RDW,NHR,and PLR can improve early diagnosis of CVD in RA patients.

To analyze the transmission characteristics of newly reported HIV-infected students aged ≥18 years in Nanjing City from 2016 to 2022 and provide evidence for AIDS publicity and intervention among young students. The pol region sequences of newly reported HIV-infected students and non-student HIV-infected individuals in Nanjing City from 2016 to 2022 were collected, and the BLAST tool was used to search the published global non-Nanjing reported HIV infection sequences in the LANL HIV database. The basic molecular transmission network and regional molecular transmission network were constructed using the HIV-TRACE in a pairwise genetic distance threshold of 1.0%. 332 sequences of infected students aged≥18 years in Nanjing City, 1 904 sequences of non-student-infected individuals in Nanjing City and 1 698 non-Nanjing-infected individuals were obtained. Among the 332 infected students, the main route of infection was homosexual (96.39%), and the subtypes were CRF01_AE (37.95%), CRF07_BC (37.65%) and CRF105_0107 (10.24%). There were 890 sequences in the regional molecular transmission network, of which 21.80% were infected students in Nanjing City, 39.89% were non-student-infected individuals in Nanjing City, and 38.31% were non-Nanjing-infected individuals. In the CRF105_0107 transmission cluster, non-student-infected individuals from Nanjing accounted for 66.95% (81/121), while in the CRF07_BC transmission cluster, non-Nanjing-infected individuals accounted for 56.66% (200/353). There were 1 644 edges connected to infected students within the regional molecular transmission network, with local transmission accounting for 64.72% and regional transmission accounting for 35.28%. Regional transmission was mainly in Guangdong Province (19.83%) and other cities in Jiangsu Province (4.50%). The HIV-1 subtypes of newly reported HIV-infected students aged≥18 years in Nanjing City are mainly CRF01_AE, CRF07_BC and CRF105_0107, with local transmission as the main transmission characteristics. There is transmission between students and non-students.

Objective:To analyze the epidemiological and clinical characteristics of respiratory pathogens in China.Methods:This study was a cross-sectional study, which encompassed 19 core units of the clinical pathogen network and established a three-tiered clinical pathogen surveillance system. Thirty respiratory samples were collected every two weeks from various units from January to December 2024, and the clinical and pathogen diagnostic information were gathered. A total of 11 864 samples were tested using this system. The tier-1 clinical pathogen surveillance system covered influenza A virus (Flu-A), influenza B virus (Flu-B), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The tier-2 clinical pathogen surveillance system focused on 18 key respiratory pathogens. The tier-3 clinical pathogen surveillance system further clarified whether any emerging infectious diseases had occurred.Results:The tier-1 clinical pathogen surveillance system showed Flu-A predominated in December, Flu-B predominated in January, SARS-CoV-2 peaked in March and August, whereas RSV circulated sporadically throughout the year. Geographic trends were broadly consistent across the seven major regions, although Flu-A detection in December was notably higher in Northeast China (48.1%(111/231)) and East China (36.2%(148/409)), and RSV detection was concentrated in the Northwest and South China from January to March. Data from the tier-2 clinical pathogen surveillance system indicated that Streptococcus pneumoniae, Mycoplasma pneumoniae, rhinovirus, and adenovirus were detected year-round, of these, Streptococcus pneumoniae and rhinovirus showed elevated positive detection rates from August to September, while adenovirus peaked in January. Legionella pneumophila was not detected throughout the year, and other pathogens fluctuated throughout the year without a consistent pattern. The predominant etiologic agents of pediatric pneumonia were Mycoplasma pneumoniae (35.0%(105/300)), rhinovirus (25.7%(77/300)), and adenovirus (17.3%(52/300)), whereas adult pneumonia was mainly caused by Streptococcus pneumoniae (10.5%(29/277)), Staphylococcus aureus (6.9%(19/277)), Mycoplasma pneumoniae (6.9%(19/277)), and Flu-A (6.1%(17/277)). The tier-3 clinical pathogen surveillance system did not identify any emerging respiratory pathogens. Conclusion:Respiratory pathogens in China in 2024 exhibit distinct temporal and spatial distribution patterns and vary among different populations.

Objective To analyze the trend of global cellulitis disease burden from 1990 to 2019, and to provide a theoretical basis for the prevention and control of cellulitis disease. Methods The Global Burden of Disease 2021 (GBD2021) data were collected, and data on the incidence, mortality, and disability-adjusted life year (DALY) of cellulitis were analyzed for each country worldwide. The estimated annual percentage change (EAPC) and age-standardized rate (ASR) were used to estimate the trend change of cellulitis from 1990 to 2021. Results The global burden of cellulitis increased significantly in 2021, with 55.96 million cases, 28.9 million deaths and 876.1 million DALYs, respectively. Incidence and mortality rates were generally higher in males than in females. The incidence and DALYs were higher in high SDI regions, with the highest burden observed in South Asia. In contrast, East Asia exhibited the lowest burden and demonstrated a declining trend. There were significant differences between countries, with India having the highest prevalence, the United States having the highest incidence, and Bahrain having the fastest growing rate.In 2021, China had the lowest age-standardised incidence of cellulitis in the world and the fastest declining age-standardised incidence and age-standardised DALYs. Conclusion The global disease burden of cellulitis is increasing from 1990-2021, and cellulitis remains an an important global public health problem. Targeted preventive meausres should be taken in areas with different economical levels. Men, middle-aged and elderly people, and newborns are the key groups in need of attention and health education.

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

To analyze the transmission characteristics of newly reported HIV-infected students aged ≥18 years in Nanjing City from 2016 to 2022 and provide evidence for AIDS publicity and intervention among young students. The pol region sequences of newly reported HIV-infected students and non-student HIV-infected individuals in Nanjing City from 2016 to 2022 were collected, and the BLAST tool was used to search the published global non-Nanjing reported HIV infection sequences in the LANL HIV database. The basic molecular transmission network and regional molecular transmission network were constructed using the HIV-TRACE in a pairwise genetic distance threshold of 1.0%. 332 sequences of infected students aged≥18 years in Nanjing City, 1 904 sequences of non-student-infected individuals in Nanjing City and 1 698 non-Nanjing-infected individuals were obtained. Among the 332 infected students, the main route of infection was homosexual (96.39%), and the subtypes were CRF01_AE (37.95%), CRF07_BC (37.65%) and CRF105_0107 (10.24%). There were 890 sequences in the regional molecular transmission network, of which 21.80% were infected students in Nanjing City, 39.89% were non-student-infected individuals in Nanjing City, and 38.31% were non-Nanjing-infected individuals. In the CRF105_0107 transmission cluster, non-student-infected individuals from Nanjing accounted for 66.95% (81/121), while in the CRF07_BC transmission cluster, non-Nanjing-infected individuals accounted for 56.66% (200/353). There were 1 644 edges connected to infected students within the regional molecular transmission network, with local transmission accounting for 64.72% and regional transmission accounting for 35.28%. Regional transmission was mainly in Guangdong Province (19.83%) and other cities in Jiangsu Province (4.50%). The HIV-1 subtypes of newly reported HIV-infected students aged≥18 years in Nanjing City are mainly CRF01_AE, CRF07_BC and CRF105_0107, with local transmission as the main transmission characteristics. There is transmission between students and non-students.

Objective To investigate the expression of microRNA(miR)-143-3p and signal transduction and transcriptional activator protein(STAT)3 in serum of patients with hepatocellular carcinoma(HCC)and its clinical significance.Methods A total of 110 HCC patients admitted to Rugao People's Hospital from Jan-uary 2022 to February 2023 were selected as HCC group,and 40 healthy people who underwent physical ex-amination during the same period were selected as healthy control group.The expression of miR-143-3p and STAT3 mRNA was compared in the serum of two groups.In addition,they were divided into good prognosis group(n=82)and poor prognosis group(n=28),according to the prognosis of HCC patients followed up for 1 year.Multivariate Logistic regression analysis was used to analyze the the influencing factors of poor prog-nosis in HCC patients.The predictive efficacy of serum miR-143-3p and STAT3 mRNA expression on poor prognosis of HCC patients was analyzed by receiver operating characteristic(ROC)curve.Results Compared with healthy control group,the expression level of miR-143-3p in serum of HCC group was lower(P＜0.05),while the expression level of STAT3 mRNA was higher(P＜0.05).Multivariate Logistic regression analysis showed that microvascular invasion,maximum diameter of tumor＞5 cm,down-regulated serum miR-143-3p expression and up-regulated STAT3 mRNA expression were independent risk factors for poor prognosis of HCC patients(P＜0.05).ROC curve showed that the area under the curve of serum miR-143-3p,STAT3 mR-NA and their combined detection for predicting the poor prognosis of HCC patients were 0.888,0.810 and 0.922,respectively,and the combined detection had the best predictive value(P＜0.05).Conclusion The ex-pression of miR-143-3p is abnormally down-regulated in the serum of HCC patients,while the mRNA of STAT3 is abnormally up-regulated.The combined detection of miR-143-3p and STAT3 has good predictive value for the poor prognosis of HCC patients.