A portion of patients undergoing implant restoration require bone augmentation procedures to ensure that there is sufficient bone volume around the implant. For the patients with horizontal bone ridge defects at edentulous sites, with or without mild to moderate vertical bone defects, the shell technique serves as a reliable and minimally invasive bone augmentation method with effective space maintenance. The shell technique involves fixating 1 mm cortical bone blocks to the recipient site, using retention screws and filling the gap between the bone block and recipient bed with particulate bone substitute materials, and covering the barrier membrane to achieve bone augmentation. The overlying tension-free soft tissue closure seals the surgical site while local peripheral blood releases osteoclasts and cytokines that gradually degrade the bone block. The rigid fixation of the bone block ensures a stable internal environment for osteogenesis and a new bone regeneration cycle. Although this technique demonstrates favorable bone augmentation outcomes, it is highly technique-sensitive. There are certain differences in the application scenarios and osteogenic processes for autologous and allogeneic bone shells. The selection of bone blocks and particulate bone substitute materials significantly influences the osteogenic biological process and the predictability of bone augmentation results. Complications associated with the shell technique possess distinct characteristics, such as the immunogenicity of allogeneic bone fragments, soft tissue cracking, and bone fragment loosening. Their prevention and subsequent management substantially impact the success rate of osteogenesis. This article delves into the biological mechanisms of osteogenesis in the bone block technique, summarizing the indications, clinical outcomes, classification of bone blocks, and surgical workflow management, as well as complication prevention and management, aiming to provide a reference for the future application and development of the bone shell technique.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

ObjectiveTo explore the relationship between acne vulgaris and gut microbiota. MethodsA total of 29 clinical cases diagnosed with moderate-to-severe acne vulgaris and 26 healthy individuals as control subjects were recruited. Fecal specimens were collected from all participants， and further analysis of gut microbial communities was performed by leveraging high-throughput sequencing techniques that target the hypervariable regions of 16S rRNA genes. ResultsAssociations between acne vulgaris and alterations in gut microbiota were identified. At the phylum level， the relative abundance of Bacteroidota exhibited a statistically significant elevation in the acne vulgaris cohort when compared with the healthy control group （P<0.01）， while Cyanobacteria was significantly lower in the acne group （P<0.01）. At the genus level， the top five different bacterial taxa in both groups were Bacteroides， Escherichia⁃Shigella， Klebsiella， Roseburia， and Parabacteroides. Among them， Bacteroides， Roseburia， and Parabacteroides were more abundant in acne patients. Linear discriminant analysis identified five biomarkers all belonging to the Bacteroidota phylum in the acne and control groups. These biomarkers belong to the phylum Bacteroidetes. ConclusionThere are significant differences in the composition of intestinal microbiota between acne patients and healthy people. Changes in the richness of specific bacterial genera may become new targets for the diagnosis and treatment of acne.

Objective:To investigate the role and analgesic mechanism of ginsenoside Rg1(GRg1)in neuropathic pain in rats.Methods:A total of 30 adult male Sprague-Dawley rats were randomly divided into sham-operation group,spared nerve injury(SNI)group,GRg1 group,GRg1+empty vector group(GRg1+vector group),and GRg1+TLR4 overexpression plasmid group(GRg1+TLR4 group),with 6 rats in each group.The SNI method was used to establish a rat model of neuropathic pain in the latter four groups,and after successful modeling,GRg1 was given by gavage for 14 days,while the plasmid was injected via the caudal vein.The sciatic nerve was exposed for the sham-operation group without any injury manipulation.A mechanical pain threshold detector and a radiation thermal pain threshold detector were used to measure mechanical withdrawal threshold and thermal withdrawal latency on day 1 before surgery and on days 1,3,7,and 14 after surgery.L4-L6 spinal cord tissue samples were collected,and quantitative real-time PCR,Western blot,and indirect immunofluorescence assay were used to measure the mRNA and protein expression levels of GFAP,a marker for astrocyte activation,and Iba-1,a marker for microglial cells;ELISA was used to measure the content of IL-1β,TNF-α,and CXCL1 in spinal cord tissue,and colorimetry was used to mea-sure the content of NO in spinal cord tissue;molecular docking was used to investigate the binding ability and interaction mode between GRg1 and TLR4.Results:GRg1 restored mechanical withdrawal threshold(F=24.67,P=0.000)and thermal withdrawal latency in SNI rats(F=8.058,P=0.034)and downregulated the expression lev-els of GFAP(mRNA:F=37.74,P=0.000;protein:F=98.71,P=0.001)and Iba-1(mRNA:F=62.11,P=0.000;protein:F=187.0,P=0.000)in spinal cord tissues of SNI rats,and it also reduced the levels of IL-1β(F=56.96,P=0.000),TNF-α(F=55.25,P=0.000),CXCL1(F=93.54,P=0.000)and NO(F=30.57,P=0.000)in the spinal cord tissues of SNI rats.The study on mechanisms showed highly stable binding between GRg1 and TLR4,and GRg1 downregulated the expression level of TLR4(mRNA:F=62.66,P=0.000;protein:F=53.52,P=0.000)and the phosphorylation levels of p38(F=300.3,P=0.000)and p65(F=121.6,P=0.000)in spinal cord tis-sues of SNI rats,whereas the overexpression of TLR4 reversed the effect of GRg1(Mechanical Paw Withdrawal Threshold:F=24.67,P=0.000;Thermal Paw Withdrawal Latency:F=8.058,P=0.034;GFAP,mRNA:F=37.74,P=0.009;Protein:F=98.71,P=0.000;Iba-1,mRNA:F=62.11,P=0.006;Protein:F=187.0,P=0.000;IL-1β:F=56.96,P=0.006;TNF-α:F=55.25,P=0.000;CXCL1:F=93.54,P=0.000;NO:F=30.57,P=0.042;TLR4,mRNA:F=62.66,P=0.000;Protein:F=53.52,P=0.000;p38 Phosphorylation Level:F=300.3,P=0.000;p65 Phosphorylation Level:F=121.6,P=0.000).Conclusion:GRg1 may exert an analgesic effect on SNI rats by regulating the TLR4-p38/MAPK-NF-κB signaling pathway and activating the activation of astrocytes and microglial cells in spinal cord tissue.

Objective:To study the optimal anastomotic angle of end-to-side anastomosis autogenous arteriovenous fistula (AVF).Methods:A case-report and case-series design was used to obtain clinical data on 10 patients with diabetic nephropathy from Department of Nephrology, the 905th Hospital of the Chinese People′s Liberation Army Navy from June 2024 to February 2025. The models of "radial artery-cephalic vein" end-to-side anastomosis in the forearm with anastomotic angles of 30°, 40°and 50°were established. Numerical simulation was used to analyze the blood flow in the model, and to study the effect of different anastomotic angles on blood flow. Wall shear stress (WSS), cross section flow velocity and flow rate, and relative residence time (RRT) were studied in the model. The Whitney test with Holm correction was used to evaluate the difference in the median RRT between the three angle models.Results:At the moment of 0.65 s, the area fraction of low wall shear stress (LWSS) in the 30° model was 7.7%, which was reduced by 2.4% and 3.7% compared to the 40°and 50°models, respectively. At the time of 0.2 s, the area proportions of high wall shear stress (HWSS) in the 30°, 40°and 50°models were 54.4%, 43.9% and 37.4%, respectively. At 0.2 s, the maximum cross section flow velocity reached 4.07, 3.84 and 3.67 m/s for the 30°, 40°and 50°models, respectively. In the cycle, the maximum mean flow velocity for the 30°model reached 1.20 m/s. The mean flow rates of the 30°, 40°and 50°models in the J-5 cross section were 349, 316, and 328 ml/min, respectivly. For patient 6, the area proportions of the RRT>1 region were 11.97%, 14.84% and 15.22% for the 30°, 40°and 50°models, respectively.Conclusions:The optimal anastomotic angle of "radial artery-cephalic vein" for end-to-side anastomosis AVF surgery in patients with diabetic nephropathy is 40°.

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.

Objective:To investigate the association between frailty and prognosis of elderly patients in the emergency department, and to validate frailty screening tools suitable for the emergency department.Methods:This was a prospective cohort study. Clinical data of elderly patients over 60 years old treated in the emergency department of Beijing Bo'Ai Hospital from January to December 2021 were collected. The Frailty Screening Questionnaire (FSQ), FRAIL Scale (FRAIL) and Clinical Frailty Scale (CFS) were used to score patients, and patients were divided into frail or non-frail group according to the criteria of the above three scales. Twelve-month all-cause mortality was the primary endpoint, dependence and re-admission to the emergency department within 12 months were secondary outcomes. Receiver operating characteristic curves were used to evaluate the ability of the FSQ, FRAIL and CFS scores to predict the primary and secondary endpoints, and the areas under the curve (AUC) were calculated and compared. Survival analysis was performed using Cox hazard proportional regression model, and relative risk was expressed as hazard ratio ( HR) and 95% CI. Results:A total of 406 patients were included in the study. The AUCs (95% CI) of FSQ, FRAIL and CFS scores for predicting 12-month all-cause mortality were 0.879 (0.844-0.909), 0.838 (0.798-0.872), 0.906 (0.873-0.933), respectively (all P<0.001). The AUCs of 3 scores for predicting secondary endpoints ranged from 0.820 to 0.889 (all P<0.001). Pairwise comparisons of the AUCs showed that the CFS was superior to one or both of the other frailty screening scales in predicting 12-month all-cause mortality and dependence except for re-admission to emergency room within 12 months after discharge (all P<0.05). Cox regression analysis revealed that, after adjusting for sex, age, body mass index and comorbidities, frailty as defined by the FSQ, FRAIL, and CFS scales was independently associated with 12-month all-cause mortality, with the HRadj of 3.267 (95% CI: 2.406-4.435), 2.465 (95% CI: 1.819-3.341), 3.523 (95% CI: 2.648-4.687), respectively (all P<0.001). Conclusions:FSQ, FRAIL and CFS scores can predict adverse outcomes, the CFS is a practical frailty screening tool in the emergency department, and frailty screening can improve the risk stratification of older patients.

Objective:To systematically integrate the work experience of medical and nursing staff in the remote home palliative care model, so as to provide a reference for improving remote home palliative care services.Methods:Qualitative studies on medical and nursing staff providing remote home palliative care were electronically searched in PubMed, Web of Science, Embase, ProQuest, CINAHL, PsycINFO, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc. The search period was from database establishment to April 30, 2024. Literature quality evaluation was conducted using the Joanna Briggs Institute Center for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research. The aggregative integration method was used to synthesize the findings.Results:Researchers repeatedly read, analyzed, and interpreted the 17 included literature, extracting 56 themes and summarizing eight new categories, and further synthesized three integrated results, namely, remote home palliative care provided patients with comprehensive physical, psychological, and mental care, as well as guidance and support for family members; remote home care helped to achieve full coverage of palliative care services; equipment limitations, information security risks, and incomplete processes restricted the development of remote palliative care.Conclusions:Remote home palliative care has improved patient care and family support capabilities, expanded service coverage, and promoted interdisciplinary collaboration. However, there are still issues such as equipment limitations, information security risks, and incomplete processes. Optimizing processes, improving safety mechanisms, and strengthening collaboration platforms will contribute to sustainable development.