Objective: To investigate the factors influencing intraoperative blood transfusion in patients with hip fractures and to develop a machine learning (ML) model for predicting this risk. Methods: A total of 424 patients with hip fractures who underwent surgical treatment between November 2022 and March 2025 in our hospital were selected. Key feature variables of intraoperative blood transfusion risk were identified using the Boruta algorithm. Four different ML algorithms—support vector machine (SVM), linear discriminant analysis (LDA), mixed discriminant analysis (MDA), and extreme gradient boosting (XGBoost)—were used to develop predictive models for intraoperative blood transfusion risk. The predictive performance of the four ML models were evaluated using accuracy, precision, receiver operating characteristic (ROC) curves, precision-recall curves (PRC), precision-recall gain curves (PRGC), and F1 scores. Shapley additive interpretation (SHAP) was used to interpret the final model. Results: Among the 424 patients, 77(18.2%) received intraoperative blood transfusion. The Boruta algorithm identified albumin (ALB), activated partial thromboplastin time (APTT), types of anesthesia, types of fracture, and hemoglobin (Hb) as key feature variables for predicting intraoperative blood transfusion risk. In model evaluation, the SVM model outperforms the other three models across multiple metrics, including the area under the receiver operating characteristic curve (AUC), recall, recall gain, accuracy, precision, F1 score, and the area under the precision-recall curve (PRC-AUC). The SVM model, interpreted and visualized based on SHAP values, effectively predicted intraoperative blood transfusion risk in patients with hip fracture. A visual online application was developed based on the SVM model (https://pbo-nomogram.shinyapps.io/blood/). Conclusion: Preoperative low ALB and Hb levels, prolonged APTT, general anesthesia, and intertrochanteric fractures are risk factors for intraoperative blood transfusion in hip fracture patients. The risk prediction model for intraoperative blood transfusion constructed based on the SVM algorithm has optimal performance, which provides new ideas and methods for the clinical early identification of hip fracture patients with high transfusion risk and the implementation of targeted interventions.

Cervical cancer is one of the most common gynecological malignant tumors in China. Given their lack of obviously early symptoms, more than half of patients with cervical cancer are diagnosed in the middle and late stages of this malignancy, resulting in poor prognosis. Finding new therapeutic targets is the current research direction. Metabolomics, as a new omics technology, is expected to provide new targets for tumor precision diagnosis and treatment through the analysis of the changes and potential mechanisms of metabolites in tumor occurrence and development by chromatography, mass spectrometry, and other technologies. Herein, we review the research methods of metabolomics; metabolic characteristics of cervical cancer; and progress of the research on metabolomics in cervical cancer diagnosis, curative effect prediction, and prognosis evaluation to provide new ideas for the precise diagnosis and treatment of cervical cancer.

As a mercury-containing elixir， Hongshengdan has been known as a sacred medicine for surgery by ancient medical practitioners because of its precise curative effects. It originated from Yizong Shuoyue in the Qing dynasty， Qing dynasty and modern medical practitioners have adapted and modified its formula for clinical application. Employing bibliometric methods， the authors systematically organized relevant ancient literature of the Qing dynasty and modern literature， and analyzed the composition and dosage， preparation method， and clinical application. Among the 25 ancient books concerning Hongshengdan， a total of 12 medicinal formulas， 15 refining methods and 9 clinical applications were obtained. Research confirms that Hongshengdan consisted of mercury， saltpeter， alum， soap alum， cinnabar and realgar. Using measurement conversion standards of Qing dynasty， the modern single-batch formulation comprised 37.30 g of mercury， 149.20 g of saltpeter， 37.30 g of alum， 22.38 g of soap alum， 18.65 g of cinnabar， and 18.65 g of realgar. In modern refining of Hongshengdan， most medical practitioners take the core medicines， with dosages approximately 30 g of mercury， 30 g of saltpeter， and 30 g of alum. Refining method involves pretreatment stewing the materials during preparation， and alum， soap alum， and saltpeter are first ground together， then combined with mercury， cinnabar， and realgar for grinding until mercury and other drugs grind to the degree of no star points. The mixture is then placed in a pot or vessel by cold-forming method. After covering， the opening is sealed using either raw gypsum salt mud or honey-dipped cotton paper strips. Sand is packed around the vessel and then pressurized. During the calcination process， begin with a low flame（30 min）， then increase to a medium flame（30 min）， followed by a high flame（30 min）， after removing fire toxins， collect the final product. Hongshengdan has the efficacy of lifting the poison， removing the corrosion， producing muscle and dispersing， and is often used in the treatment of surgical sore and carbuncle type of diseases. Modern research indicates that Hongshengdan is commonly used to treat skin system diseases such as ulcers and herpes. The aforementioned findings provide a reference basis for the subsequent refining method and clinical application of Hongshengdan.

BACKGROUND: Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions. METHODS: Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location. Numbers and age-standardized rates were used to compare the disease burden between DKD-T1DM and DKD-T2DM among locations. Decomposition analysis was used to assess the potential drivers. Locally weighted scatter plot smoothing and Frontier analysis were used to estimate sociodemographic transitions of DKD disability-adjusted life years (DALYs). RESULTS: The DALYs due to DKD increased markedly from 1990 to 2021, with a 74.0% (from 2,227,518 to 3,875,628) and 173.6% (from 4,122,919 to 11,278,935) increase for DKD-T1DM and DKD-T2DM, respectively. In 2030, the estimated DALYs for DKD-T1DM surpassed 4.4 million, with that of DKD-T2DM exceeding 14.6 million. Notably, middle-sociodemographic index (SDI) quintile was responsible for the most significant DALYs. Decomposition analysis revealed that population growth and aging were major drivers for the increased DKD DALYs in most regions. Interestingly, the most pronounced effect of positive DALYs change from 1990 to 2021 was presented in high-SDI quintile, while in low-SDI quintile, DALYs for DKD-T1DM and DKD-T2DM presented a decreasing trend over the past years. Frontiers analysis revealed that there was a negative association between SDI quintiles and age-standardized DALY rates (ASDRs) in DKD-T1DM and DKD-T2DM. Countries with middle-SDI shouldered disproportionately high DKD burden. Kidney dysfunction (nearly 100.0% for DKD-T1DM and DKD-T2DM), high fasting plasma glucose (70.8% for DKD-T1DM and 87.4% for DKD-T2DM), and non-optimal temperatures (low and high, 5.0% for DKD-T1DM and 5.1% for DKD-T2DM) were common risk factors for age-standardized DALYs in T1DM-DKD and T2DM-DKD. There were other specific risk factors for DKD-T2DM such as high body mass index (38.2%), high systolic blood pressure (10.2%), dietary risks (17.8%), low physical activity (6.2%), lead exposure (1.2%), and other environmental risks. CONCLUSIONS DKD markedly increased and varied significantly across regions, contributing to a substantial disease burden, especially in middle-SDI countries. The rise in DKD is primarily driven by population growth, aging, and key risk factors such as high fasting plasma glucose and kidney dysfunction, with projections suggesting continued escalation of the burden by 2030.
Humans ; Global Burden of Disease ; Risk Factors ; Male ; Female ; Disability-Adjusted Life Years ; Diabetic Nephropathies/epidemiology* ; Middle Aged ; Diabetes Mellitus, Type 2/epidemiology* ; Adult ; Diabetes Mellitus, Type 1/complications* ; Aged ; Adolescent ; Young Adult ; Quality-Adjusted Life Years

Hongsheng Dan, historically referred to as the "surgical sacred medicine", is at risk of losing its refining technology in contemporary times. This study aimed to preserve and innovate this traditional non-heritage refining technology. By utilizing the analytic hierarchy process(AHP) combined with the entropy weight method, this study established the hierarchical structure model of refining process of Hongsheng Dan and conducted a single factor experiment and an L_9(3~4) orthogonal experiment to optimize the refining method of Hongsheng Dan. Additionally, the study employed infrared thermal imaging to monitor temperature variations of Hongsheng Dan during the refining process. The optimized refining parameters for Hongsheng Dan were established as follows: a slow fire temperature of 175 ℃ with a duration of 30 minutes, a strong fire temperature of 270 ℃ with a duration of 60 minutes, and a tail fire temperature of 180 ℃ with a duration of 15 minutes. The stability and feasibility of this optimized process were confirmed through validation tests. The research focused on the material transformation of Hongsheng Dan, starting from the material changes during the refining process of Hongsheng Dan and the synthesis of mercuric oxide from nitric acid. The study investigated elemental transformations, physical phase changes, and alterations in thermal properties. 78.98% of the mercury in Hongsheng Dan and 80.21% of the mercury in mercuric oxide from nitric acid were retained. The diffraction peak intensity of the(011) crystal plane of Hongsheng Dan was highest at approximately 30.07°, indicating that the(011) crystal plane had a preferred crystalline orientation. Furthermore, the temperature range for the alteration in thermal properties during the refining process of Hongsheng Dan was found to be between 80 ℃ and 130 ℃. This research not only optimized the refining technology of Hongsheng Dan but also pioneered the application of infrared thermal imaging to study temperature changes throughout the refining process. By exploring the material transformation patterns of Hongsheng Dan and the synthesis of mercuric oxide from nitric acid, the study provided technical support for the preservation and innovation of Hongsheng Dan.
Drugs, Chinese Herbal/standards* ; Temperature

The injury of the posterior Angle of the medial meniscus of the knee joint is very common in clinic, and the arthroscopic treatment of the knee joint has been the first choice. However, there are many difficulties in arthroscopic treatment, such as narrow space in the medial posterior corner of the knee joint, insufficient space to deal with the injured meniscus, varion and lateral rotation under 30° flexion, release of the medial collateral ligament of the knee joint, and expansion of the knee joint cavity spinner, all of which could expose and expand the medial space of knee joint. Therefore, it is necessary to master and balance the use to avoid collateral injury. It is also necessary to determine the cause of meniscus injury during arthroscopic treatment, such as degenerative injury, simple meniscus repair and forming can hardly solve the pain of patients. Anterior cross injury is easy to cause instability of the knee joint, which is closely related to the injury of the posterior angle of the medial meniscus of the knee joint. In order to achieve the maximum therapeutic effect, physiological repair should be performed at the same time. There are various types of medial meniscus posterior angle injury, among which the Ramp injury, root fracture and laminae meniscus injury are greatly affected by joint degeneration, narrow knee space or knee stability, and all influencing factors should be fully considered in treatment.
Humans ; Arthroscopy/methods* ; Tibial Meniscus Injuries/surgery* ; Knee Joint/surgery* ; Menisci, Tibial/surgery* ; Knee Injuries/surgery*

OBJECTIVES: To analyze the disease burden of melanoma among middle-aged and elderly populations in China, and to predict the future trend. METHODS: Data from the Global Burden of Disease (GBD) 2021 were utilized to collect incidence and mortality rates of melanoma, disability-adjusted life years (DALYs), and corresponding age crude rates among the middle-aged and elderly population in China during 1990 and 2021. Additionally, the estimated annual percentage change (EAPC) was employed to assess the temporal trends. Age-period-cohort (APC) and Bayesian age-period-cohort (BAPC) models were utilized to compute age, period, and cohort effects on incidence and mortality rates of melanoma, as well as to predict future trends up to 2035. RESULTS: During 1990-2021, the incidence rate of melanoma for males was higher than that for females among the middle-aged and elderly population in China, and the overall incidence rate increased annually with an EAPC of 2.13 (1.90-2.36), while the overall mortality rate and DALY rate showed a declining trend with an EAPC of －0.28 (－0.41-－0.15) and －0.54 (－0.68-－0.41), respectively. The results of the APC model analysis revealed that age effects on both incidence and mortality rates of melanoma in China's middle-aged and elderly population were significant, with both increasing with age. Period and cohort effects showed an upward trend for incidence rates but a downward trend for mortality rates. Moreover, the period and cohort effects for mortality rates were not significant among females. In the BAPC prediction model, the number of incidences of melanoma in middle-aged and elderly people in China would increase dramatically. By 2035, the number of incidence cases is expected to reach approximately 9600 (males) and 10 300 (females), corresponding to an incidence rate of 2.66/10⁵ and 2.67/10⁵, respectively. The number of deaths is projected to be about 2600 (males) and 3500 (females) by 2035, corresponding to a mortality rate of 0.72/10⁵ and 0.91/10⁵, respectively. CONCLUSIONS The disease burden of melanoma among the middle-aged and elderly population in China remains substantial and is expected to increase over the next decade.
Humans ; Melanoma/mortality* ; China/epidemiology* ; Aged ; Middle Aged ; Male ; Female ; Incidence ; Disability-Adjusted Life Years ; Bayes Theorem ; Cost of Illness ; Skin Neoplasms/epidemiology*

[This corrects the article DOI: 10.1016/j.apsb.2022.03.002.].

Metformin has been demonstrated to attenuate hyperglycaemia by modulating the gut microbiota. However, the mechanisms through which the microbiome mediates metformin monotherapy failure (MMF) are unclear. Herein, in a prospective clinical cohort study of newly diagnosed type 2 diabetes mellitus (T2DM) patients treated with metformin monotherapy, metagenomic sequencing of faecal samples revealed that Phocaeicola vulgatus abundance was approximately 12 times higher in nonresponders than in responders. P. vulgatus rapidly hydrolysed taurine-conjugated bile acids, leading to ceramide accumulation and reversing the improvements in glucose intolerance conferred by metformin in high-fat diet-fed mice. Interestingly, C22:0 ceramide bound to mitochondrial fission factor to induce mitochondrial fragmentation and impair hepatic oxidative phosphorylation in P. vulgatus-colonized hyperglycaemic mice, which could be exacerbated by metformin. This work suggests that metformin may be unsuitable for P. vulgatus-rich T2DM patients and that clinicians should be aware of metformin toxicity to mitochondria. Suppressing P. vulgatus growth with cefaclor or improving mitochondrial function using adenosylcobalamin may represent simple, safe, effective therapeutic strategies for addressing MMF.

Receptor-interacting protein kinase 1 (RIPK1) plays an essential role in regulating the necroptosis and apoptosis in cerebral ischemia-reperfusion (I/R) injury. However, the regulation of RIPK1 kinase activity after cerebral I/R injury remains largely unknown. In this study, we found the downregulation of protein arginine methyltransferase 1 (PRMT1) was induced by cerebral I/R injury, which negatively correlated with the activation of RIPK1. Mechanistically, we proved that PRMT1 directly interacted with RIPK1 and catalyzed its asymmetric dimethylarginine, which then blocked RIPK1 homodimerization and suppressed its kinase activity. Moreover, pharmacological inhibition or genetic ablation of PRMT1 aggravated I/R injury by promoting RIPK1-mediated necroptosis and apoptosis, while PRMT1 overexpression protected against I/R injury by suppressing RIPK1 activation. Our findings revealed the molecular regulation of RIPK1 activation and demonstrated PRMT1 would be a potential therapeutic target for the treatment of ischemic stroke.