PURPOSE: To analyze risk factors for severe trauma and establish a nomogram for early risk prediction, to improve the early identification of severe trauma. METHODS: This study was conducted on the patients treated in 81 trauma treatment institutions in Gansu province from 2020 to 2022. Patients were grouped by year, with 5364 patients from 2020 to 2021 as the training set and 1094 newly admitted patients in 2020 as the external validation set. Based on the injury severity score (ISS), patients in the training set were classified into 2 subgroups of the severe trauma group (n = 478, ISS scores ≥25) and the non-severe trauma group (n = 4886, ISS scores <25). Univariate and binary logistic regression analyses were employed to identify independent risk factors for severe trauma. Subsequently, a predictive model was developed using the R software environment. Furthermore, the model was subjected to internal and external validation via the Hosmer-Lemeshow test and receiver operating characteristic curve analysis. RESULTS: In total, 6458 trauma patients were included in this study. Initially, this study identified several independent risk factors for severe trauma, including multiple traumatic injuries (polytrauma), external hemorrhage, elevated shock index, elevated respiratory rate, decreased peripheral oxygen saturation, and decreased Glasgow coma scale score (all p < 0.05). For internal validation, the area under the receiver operating characteristic curve was 0.914, with the sensitivity and specificity of 88.4% and 87.6%, respectively; while for external validation, the area under the receiver operating characteristic curve was 0.936, with the sensitivity and specificity of 84.6% and 93.7%, respectively. In addition, a good model fitting was observed through the Hosmer-Lemeshow test and calibration curve analysis (p > 0.05). CONCLUSION This study establishes a nomogram for early risk prediction of severe trauma, which is suitable for primary healthcare institutions in underdeveloped western China. It facilitates early triage and quantitative assessment of trauma severity by clinicians prior to clinical interventions.
Humans ; Nomograms ; Male ; Female ; Wounds and Injuries/diagnosis* ; Risk Factors ; Middle Aged ; Adult ; Injury Severity Score ; Risk Assessment ; ROC Curve ; Aged ; Logistic Models ; China ; Glasgow Coma Scale

OBJECTIVE: To investigate the protective effect of achyranthes bidentata (AB) on sperm quality in mice with spermatogenic disorder through the glycolytic metabolic pathway and its action mechanism. METHODS: We equally randomized 40 Kunming mice into a normal control, a model control, a low-dose AB (3.5 g/kg) and a high-dose AB group (7.0 g/kg), and established the model of spermatogenic disorder in the latter three groups of mice by intraperitoneal injection of doxorubicin (30 mg/kg). Two days after modeling, we collected the testis and kidney tissues and blood samples from the mice for observation of the pathological changes in the testis tissue by HE staining, detection of perm motility with the sperm quality analyzer, examination of the apoptosis of testis cells by flow cytometry, measurement of the levels of testosterone (T), malondialdehyde (MDA), superoxide dismutase (SOD) and catalase (CAT) in the serum and testis tissue by ELISA, and determination of expressions of the key enzymes of glycolysis hexokinase Ⅱ (HK2), pyruvate kinase M2 (PKM2), platelet phosphofructokinase (PFKP), lactate dehydrogenase A (LDHA) and the meiosis proteins REC8 and SCP3 by Western blot, and the mRNA expressions of glycolytic phosphofructokinase 1 (PFK1), phosphoglycerate kinase 1 (PGK1), tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) by fluorescence quantitative PCR (FQ-PCR). RESULTS: Compared with the model controls, the mice in the AB groups showed significant increases in the testis coefficient, kidney index, sperm concentration, sperm motility, spermatogonia, primary spermatocytes, spermatids, sperm count and the serum T level (P<0.05 or P<0.01), but dramatic decreases in the apoptosis of testis cells and percentage of morphologically abnormal sperm (P<0.01). Achyranthes bidentata also significantly elevated the levels of SOD and CAT, and down-regulated the mRNA expressions of MDA, TNF-α and IL-1β (P<0.05 or P<0.01), and up-regulated the protein expressions of HK2, PKM2, PFKP, LDHA, REC8 and SCP3, and expressions of the glycolysis key genes Pfk1 and Pgk1 (P<0.05 or P<0.01). CONCLUSION Achyranthes bidentata ameliorates doxorubicin-induced spermatogenic disorder in mice by regulating the glycolytic pathway and reducing oxidative stress and the expressions of inflammatory factors.
Glycolysis/drug effects* ; Doxorubicin/toxicity* ; Spermatogenesis/drug effects* ; Random Allocation ; Male ; Animals ; Mice ; Disease Models, Animal ; Achyranthes/chemistry* ; Spermatozoa/pathology* ; Oxidative Stress/drug effects* ; Primary Cell Culture ; Apoptosis/drug effects* ; Sperm Motility/drug effects* ; Testis/pathology* ; Infertility, Male/prevention & control* ; Medicine, Chinese Traditional/methods* ; Animals, Outbred Strains

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Ceria nanoparticles(CeO2 NPs)have become popular materials in biomedical and industrial fields due to theirpotential applications in anti-oxidation,cancer therapy,photocatalytic degradation of pollutants,sensors,etc.Many methods,including gas phase,solid phase,liquid phase,and the newly proposed green synthesis method,have been reported for the synthesis of CeO2 NPs.Due to the wide application of CeO2 NPs,concerns about their adverse impacts on human health have been raised.This review covers recent studies on the biomedical applications of CeO2 NPs,including their use in the treatment of various diseases(e.g.,Alzheimer's disease,ischemic stroke,retinal damage,chronic inflammation,and cancer).CeO2 NP toxicity is discussed in terms of the different systems of the human body(e.g.,cytotoxicity,genotoxicity,respiratory toxicity,neurotoxicity,and hepatotoxicity).This comprehensive review covers both fundamental discoveries and exploratory progress in CeO2 NP research that may lead to practical developments in the future.

Objective To investigate the long-term incidence of in-stent stenosis(ISS)in patients with intracranial aneurysms receiving pipeline embolization device(PED)who showed no ISS at short-to-medium term follow-up examination.Methods The clinical data of patients,who received PED treatment at the Department of Neurointervention,First Affiliated Hospital of Zhengzhou University of China between April 2015 and June 2022,were retrospectively collected.The patients with intracranial aneurysms,who showed no ISS at the initial follow-up with DS A and completed＞12 months long-term follow-up check after treatment at the same hospital,were screened out,and their relevant clinical data and imaging materials were collected.The incidence of ISS occurring in postoperative＞12 months long-term follow-up was calculated.The ISS was defined as a＞25％lumen loss of the parent artery when compared with its lumen size measured immediately after PED implantation.Results A total of 57 patients with 61 aneurysms were enrolled in this study,and a total of 68 PEDs were implanted.Forty-one(67.21％)aneurysms were treated by PED implantation only,and 20(32.79％)aneurysms by PED plus spring coils.The median initial follow-up time was 184.0 days(119.0,212.5).At postoperative＞12 months long-term follow-up visit,DSA was employed for 35(57.38％)aneurysms,CTA was adopted for 22(36.07％)aneurysms,and 3D-SPACE sequence MR scan was performed in 4(6.56％)aneurysms.The median follow-up time was 538.0 days(407.5,678.0),and the incidence of ISS was 0％.No ISS-related neurological symptoms occurred in all patients.Conclusion In treating intracranial aneurysms with PED,the postoperative incidence of ISS is low.No ISS is found during the short-term follow-up period,and long-term follow-up results tend to indicate that no ISS events have occurred.

Objective To investigate the disease spectrum and pathogenic genes of inherited metabolic disorder(IMD)among neonates in Gansu Province of China.Methods A retrospective analysis was conducted on the tandem mass spectrometry data of 286 682 neonates who received IMD screening in Gansu Provincial Maternal and Child Health Hospital from January 2018 to December 2021.A genetic analysis was conducted on the neonates with positive results in tandem mass spectrometry during primary screening and reexamination.Results A total of 23 types of IMD caused by 28 pathogenic genes were found in the 286 682 neonates,and the overall prevalence rate of IMD was 0.63‰(1/1 593),among which phenylketonuria showed the highest prevalence rate of 0.32‰(1/3 083),followed by methylmalonic acidemia(0.11‰,1/8 959)and tetrahydrobiopterin deficiency(0.06‰,1/15 927).In this study,166 variants were identified in the 28 pathogenic genes,with 13 novel variants found in 9 genes.According to American College of Medical Genetics and Genomics guidelines,5 novel variants were classified as pathogenic variants,7 were classified as likely pathogenic variants,and 1 was classified as the variant of uncertain significance.Conclusions This study enriches the database of pathogenic gene variants for IMD and provides basic data for establishing an accurate screening and diagnosis system for IMD in this region.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Objective:To investigate the relationship between serum soluble CD155 (sCD155), soluble CD163 (sCD163) and chemotherapy efficacy and prognosis in patients with diffuse large B-cell lymphoma (DLBCL).Methods:A total of 126 patients with DLBCL admitted to Handan Central Hospital from May 2018 to May 2020 (DLBCL group) and 126 healthy subjects (control group) were prospectively selected to compare serum sCD155 and sCD163 levels. According to the chemotherapy effect of DLBCL patients, they were divided into effective group and ineffective group, and the serum sCD155 and sCD163 levels were compared before and after treatment. The effective rate of chemotherapy in patients with different serum sCD155 and sCD163 levels was compared. Kaplan-Meier method was used to analyze the relationship between serum sCD155 and sCD163 levels and 3-year overall survival (OS) and progression-free survival (PFS) of DLBCL patients. Cox proportional risk regression model was used to analyze the prognostic factors of DLBCL patients.Results:The serum levels of sCD155 and sCD163 in DLBCL group were higher than those in control group before treatment (all P<0.05). The effective rate of chemotherapy in 126 DLBCL patients in this group was 69.8%(88/126). Compared with the effective group, the serum levels of sCD155 and sCD163 were higher in the ineffective group before and after treatment (all P<0.05). Compared with before treatment, serum sCD155 and sCD163 levels in the effective group were decreased after treatment (all P<0.05). The effective rate of DLBCL patients in sCD155 and sCD163 high level groups was lower than that in sCD155 and sCD163 low level groups (all P<0.05). Kaplan-Meier analysis showed that the 3-year OS and PFS of DLBCL patients in the low level group of sCD155 and sCD163 were higher than those in the high level group (all P<0.05). The high level of sCD155 and sCD163 were independent risk factors for 3-year PFS and OS in DLBCL patients (all P<0.05). Conclusions:Abnormal levels of serum sCD155 and sCD163 in DLBCL patients may reduce the efficacy of chemotherapy and lead to poor prognosis.

This study primarily concentrated on scientific problems of poor taste caused by unclear critical quality attributes of oral preparations manufactured by Chinese materia medica, successfully established an identification method for taste critical quality attribute and a taste improvement method combining electronic tongue with human senses, and determined the optimal taste formula, to improve patients' oral medication compliance. The study received ethical approval from the Review Committee of the Beijing University of Chinese Medicine. The results showed that the proportion of bitterness of Xiaoer Qingrening Granule was 61.8%, and its bitterness grade was 3.70, it was determined that bitterness is the critical quality attribute that caused the poor taste of Xiaoer Qingrening Granule. Additionally, the optimal taste formula per milliliter of Xiaoer Qingrening sugar-free intermediate was determined with allowable daily intake, solubility, and sweetness as the limiting conditions, which was 40 mg hydroxypropyl β-cyclodextrin, 180 mg trehalose, and 1.5 mg acesulfame potassium. Compared with the Xiaoer Qingrening Granule, the sensory evaluation score of the optimal taste formula was increased by 37.5 points. In conclusion, this study achieved the taste improvement of Xiaoer Qingrening Granule and formed a set of taste improvement strategies including the identification of taste critical quality attribute, the selection of the type and dosage of corrigent, and the optimization of taste formula, which provided a thought reference for the taste improvement of other oral preparations and a new perspective for quality control of intelligent manufacturing of traditional Chinese medicines.

There is still a serious challenge of the measurement of critical quality attributes (CQAs) related to clinical efficacy for Chinese materia medica manufacturing. To overcome this challenge, an integrated strategy of biosensor and ultra-performance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS) was proposed using Tongren niuhuang qingxin pills as a trial. Firstly, an original biosensor was created using a semiconductor chip material high electron mobility transistor (HEMT) as the transducer and the macrophage migration inhibitory factor (MIF) as the identification element. By this MIF-HEMT biosensor, the efficacy on stoke of different components from Tongren niuhuang qingxin pills was measured. It was clear that all three components of Tongren niuhuang qingxin pills had strong therapeutic effects on stroke, especially the section A, the K_D of which reached to 8.722×10^-10 g·mL^-1. Furthermore, MIF-HEMT biosensor integrated UPLC-MS/MS was introduced to identify the efficacy CQAs of different components of Tongren niuhuang qingxin pills. As a result, 19 potential CQAs, such as albiforin, paeoniflorin, and prim-O-glucosylcimifugin, were measured as the efficacy CQAs of Tongren niuhuang qingxin pills on stroke treatment by MIF. These results provided vital measurement techniques and methodological guidance for the CQAs study of Tongren niuhuang qingxin pills intervention in MIF-induced stroke treatment. This also provided an essential guideline for the efficient utilization and quality control measurement of high-quality classical recipes.