Objective To explore the value of combined ultrasound parameters, including the hepatorenal index (HRI) and renal resistance index (RRI), with cystatin C (CysC) in monitoring early acute kidney injury (AKI) after liver transplantation. Methods Perioperative data from 121 liver transplant recipients who received organs from donation after brain death were collected. The HRI and RRI of the recipients were measured on postoperative days 1-7 and at 1 month, and the CysC levels were measured on postoperative day 1. The recipients were divided into the AKI group (n=53) and the non-AKI group (n=68) based on whether AKI occurred within 7 days after operation. The data of the two groups were compared, and the ultrasound parameters before and after recovery in the AKI group were analyzed. The value of combined HRI, RRI and CysC in monitoring AKI was also analyzed. Results AKI occurred in 53 recipients, with an incidence rate of 43.8%, including 30 cases of stage 1, 18 cases of stage 2, and 5 cases of stage 3. Among them, 49 cases occurred on postoperative day 1, and 4 cases occurred on postoperative day 2. Of these, 43 cases recovered within 7 days after surgery, 8 cases recovered within 2 months after surgery, 1 case was lost to follow-up, and 1 case received renal replacement therapy. The body mass index and preoperative CysC levels were higher in the AKI group than in the non-AKI group, and the operative time was longer in the AKI group than in the non-AKI group (all P < 0.05). The HRI on postoperative day 1 was lower in the AKI group than in the non-AKI group, while the RRI and CysC levels were higher (all P < 0.05). When AKI occurred, the HRI was lower than the baseline level, and the RRI was higher than the baseline level. As AKI recovered, the HRI gradually increased, and the RRI gradually decreased. The receiver operating characteristic curve analysis showed that the sensitivity and specificity of HRI ≤ 1.12 for predicting AKI were 0.623 and 0.878, respectively, with an area under the curve (AUC) of 0.801. The sensitivity and specificity of RRI ≥ 0.65 for predicting AKI were 0.878 and 0.676, respectively, with an AUC of 0.825. The sensitivity and specificity of CysC ≥ 1.38 mg/L for predicting AKI were 0.736 and 0.882, respectively, with an AUC of 0.851 (all P<0.01). The combination of HRI and CysC (AUC=0.897, P<0.01), RRI and CysC (AUC=0.910, P<0.01), and all three parameters combined (AUC=0.934, P<0.01) were more effective than using each parameter alone. Conclusions HRI and RRI may be used to monitor the occurrence and recovery of early AKI after liver transplantation. The combination of these two parameters with CysC has a high application value in monitoring early AKI after liver transplantation.

Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans ; Consensus ; Dental Implants ; Mouth Mucosa/surgery* ; Keratins

In response to the demand for portable and rapid measurement in normalized nutritional metabolism monitoring,a low-power and multifunctional measurement method and system scheme based on indirect calorimetry is proposed. Firstly,a combination of Kalman and the 5th order Bessel filtering algorithm is used to preprocess the real-time data of oxygen,carbon dioxide,flow rate and electrocardiogram,and the cumulative amount of gas per unit time is obtained. Secondly,a rapid nutrient metabolism measurement method that considers resting analyses of electrocardiogram and respiratory waves is designed,and a calculation model for energy metabolism parameters is constructed. Then,a dedicated collection and analysis circuit system is developed to transmit data to the upper computer or cloud through wireless networks,achieving intelligent and networked design. Finally,the resting state of the subjects is determined by analyzing electrocardiogram and respiratory parameters,and the test of monitoring nutrient metabolism is completed. The results show that the system can effectively detect metabolism related physiological signals with high precision,and achieve accurate measurement of human fat and sugar consumptions on metabolism,providing an effective means for measuring human metabolic energy.

The adaptive motion control method for bio-inspired hexapod robot is explored based on bionics principles,as well as the limb structure and behavioral characteristics of tarantulas.Firstly,a bionic kinematic model for a single leg of the robot is established using the Denavit-Hartenberg method combined with mechanical parameters.The forward and inverse kinematic expressions are derived,and the triangular gait of the hexapod robot is implemented through composite cycloid trajectory planning.Subsequently,inspired by biological tactile sense and biological vestibular balance mechanisms,force sensors and inertial measurement unit are employed to acquire force control and posture information of the hexapod robot,followed by fusion processing,which enables the robot to perceive environmental changes and adjust its trajectory in real time.A motion control model integrating hybrid gaits is proposed to enhance the robot's environmental perception and adaptability.Finally,a semi-physical simulation experimental platform is constructed to verify the effectiveness and reliability of the proposed model.Experimental results demonstrate that this model can significantly improve the motion stability and traversal efficiency of the robot in complex and rugged terrains,providing robust support for the application of bio-inspired adaptive control methods in multi-legged robots.

The adaptive motion control method for bio-inspired hexapod robot is explored based on bionics principles,as well as the limb structure and behavioral characteristics of tarantulas.Firstly,a bionic kinematic model for a single leg of the robot is established using the Denavit-Hartenberg method combined with mechanical parameters.The forward and inverse kinematic expressions are derived,and the triangular gait of the hexapod robot is implemented through composite cycloid trajectory planning.Subsequently,inspired by biological tactile sense and biological vestibular balance mechanisms,force sensors and inertial measurement unit are employed to acquire force control and posture information of the hexapod robot,followed by fusion processing,which enables the robot to perceive environmental changes and adjust its trajectory in real time.A motion control model integrating hybrid gaits is proposed to enhance the robot's environmental perception and adaptability.Finally,a semi-physical simulation experimental platform is constructed to verify the effectiveness and reliability of the proposed model.Experimental results demonstrate that this model can significantly improve the motion stability and traversal efficiency of the robot in complex and rugged terrains,providing robust support for the application of bio-inspired adaptive control methods in multi-legged robots.

In response to the demand for portable and rapid measurement in normalized nutritional metabolism monitoring,a low-power and multifunctional measurement method and system scheme based on indirect calorimetry is proposed. Firstly,a combination of Kalman and the 5th order Bessel filtering algorithm is used to preprocess the real-time data of oxygen,carbon dioxide,flow rate and electrocardiogram,and the cumulative amount of gas per unit time is obtained. Secondly,a rapid nutrient metabolism measurement method that considers resting analyses of electrocardiogram and respiratory waves is designed,and a calculation model for energy metabolism parameters is constructed. Then,a dedicated collection and analysis circuit system is developed to transmit data to the upper computer or cloud through wireless networks,achieving intelligent and networked design. Finally,the resting state of the subjects is determined by analyzing electrocardiogram and respiratory parameters,and the test of monitoring nutrient metabolism is completed. The results show that the system can effectively detect metabolism related physiological signals with high precision,and achieve accurate measurement of human fat and sugar consumptions on metabolism,providing an effective means for measuring human metabolic energy.

Objective:To explore the feasibility and consistency of a new digital classification system of pelvic fractures named as JST classification based on close reduction techniques.Methods:A retrospective collection was conducted of the data from the 63 patients with pelvic fracture who had undergone surgical treatment after JST classification at Department of Orthopaedics and Traumatology, Beijing Jishuitan Hospital from March 2021 to March 2023. Digital classification of the pelvic fractures was performed based on their locations and displacements. The classification first divides the pelvis into 4 parts: left half pelvis and right half pelvis; sacral Denis Ⅲ area and pubic symphysis. The symmetrical left and right sacral Denis Ⅰ and Denis Ⅱ areas are also included in the left/right half pelvis. Subsequently, the left half pelvis and right half pelvis are divided into 4 regions and marked by capitalized English letters: Sacrum Area (including Denis Ⅰ and Denis Ⅱ, denoted as S), Sacroiliac Joint Area (denoted as J), Iliac Area (denoted as I), and Pubic Area (denoted as P); to distinguish right/left, R and L are used as prefixes. The 2 asymmetric parts are also marked with English letters: Denis Ⅲ area of the sacrum (denoted as Sac), and pubic symphysis (denoted as C). Afterwards, the fracture line morphology and displacement in each region are marked digitally to form a complete JST classification system. The inter- and intra-observer reliabilities (Fleiss' and Cohen's Kappa) of the JST classification system were tested by 3 observers with more than 10 years of experience in pelvic fracture treatment.Results:Consistency analysis of the JST classification results showed that the mean κ value of the intra-observer reliability was 0.818 (from 0.658 to 0.946, P<0.001) and the inter-observer reliability 0.873 (from 0.674 to 1.000, P<0.001), both indicating excellent agreement. Of the 63 patients, 59 obtained successful closed reduction with the assistance of the Rossum Robot R-Universal intelligent orthopedic surgical robot system after fracture classification by the JST system, yielding a success rate of 93.7% (59/63). Conclusions:The new JST classification system for pelvic fractures demonstrates strong intra and inter-observer reliabilities compared with traditional classification systems. As JST classification system labels each fracture site and key bones, it is of great significance for the deep learning and intraoperative operations of intelligent fracture robots.

Objectives:Aimed to establish a rapid, high-throughput, automated method for determining the creatine kinase (CK-MM) isoform levels.Methods:Magnetic beads labeled with anti-CK-MM antibodies were combined with alkaline phosphatase-based chemiluminescence detection. Clinical and diagnostic performance validation of the assay was determined by analysis of 998 and 75 dried blood spot samples from healthy newborns and Duchenne muscular dystrophy (DMD) patients, respectively, and the CK activity was also determined. The blank and detection limits, cross-reactivity, recovery rate of the method, intra-and inter-assay coefficient, and the hook effect were evaluated.Results:Blank and detection limits were 17.4 and 39.3 ng/ml, respectively. Cross-reactivity toward CK-MB and CK-BB isoforms was 0.2% and 0.02%, respectively. Intra-and inter-assay coefficients of variation were<1%. Mean recovery was 100.32%, with no hook effect in CK-MM levels<50 000 ng/ml. Overall, the mean CK-MM concentrations in newborns and DMD patients were (27.05±0.97) and (3 720±300.5) ng/ml, respectively. A significant positive correlation between the dried blood spot detected CK-MM levels and total CK enzyme activity, evaluated in corresponding serum samples from the 75 DMD patients, was observed ( r=0.91, P<0.001), ?which is in good agreement with the clinical. Conclusions:An assay for rapid quantitative determination of CK-MM that meets clinical newborn screening requirements was established. It had a good value for application.

Objective To explore basement membrane markers and potential drugs for treatment in idiopathic pulmona-ry fibrosis(IPF).Methods IPF-related datasets were downloaded from the Gene Expression Omnibus(GEO)database,processed to construct basement membrane gene expression matrices associated with IPF,and screened for differential basement membrane genes(DEBMs);DEBMs were enriched for function and pathways,and machine learning algorithms were used to ob-tain candidate signature genes,receiver operating characteristic(ROC)curves were used to identify signature genes and con-struct a nomogram.We performed ssGSEA analysis to explore the correlation between signature genes and immune cells and their functions and predicted the corresponding miRNAs and therapeutic drugs by signature genes.Results A total of 56 DEBMs were extracted;enrichment analysis showed that DEBMs were mainly enriched in"extracellular matrix tissue","extracellular structural tissue",etc.,and were closely related to"ECM-receptor interaction"and"local adhesion spot"pathways.The ma-chine learning has identified six candidate signature genes(TIMP3,P3H2,ITGA7,ITGA4,ADAMTS2,COL8A2),all of which meet the requirements of the signature genes by the ROC curve test,and the nomogram diagnostic value was outstanding(AUC=0.991 523);B cells and Macrophages in IPF were significantly different from the normal group.Finally,miRNAs were predicted to be dominated by miR-4305,miR-3684,progesterone,and tert-butyl hydroperoxide as therapeutic agents with strong relevance to IPF.Conclusion Signature genes and predictive miRNAs may serve as novel markers for IPF diagnosis,and pre-dictive drugs may be a potential source of drugs for treating IPF.

Objective:To explore the role and relationship between oxidative stress and immune infiltration in idiopathic pul-monary fibrosis(IPF),and to predict the relevant therapeutic herbal medicines and active ingredients.Methods:GSE10667 gene expression profiles were downloaded from GEO database to obtain differential expression genes,differential expression of oxidative stress genes(DEOSGs)were identified in combination with oxidative stress genes.GSEA was used to evaluate the pathways and biologi-cal processes in IPF,and GO,KEGG and PPI network analysis were performed on DEOSGs.Candidate central genes were derived from PPI results and CytoHubba,and GSE110147 was validated as an independent group to identify central genes;in addition,the immune microenvironment of samples was evaluated using CIBERSORTF,and correlation between central gene levels and relative proportion of immune cells was explored;finally,therapeutic herbal medicines and components were predicted by central genes,and mole-cular docking verification was carried out.Results:A total of 51 DEOSGs,four central genes(ICAM-1,APOE,MMP-1,TGF-β2)were obtained;DEOSGs were mainly related to oxidative stress,immune response,etc;four central gene levels were closely correlated with 8 relative proportions of immune cells;therapeutic herbal medicines included 4 flavors such as Huangqi and Chuanxiong,and the active ingredients included 8 kinds of β-carotene,etc,the molecular docking results were stable.Conclusion:Oxidative stress and immune firing are exist in IPF,and oxidative stress may be recognized by immune cells or directly activate immune cells.