Objective To develop a predictive model for guiding blood transfusion decisions in pediatric patients with traumatic brain injury(TBI)by identifying and analyzing key factors that influence blood transfusion requirements.Methods A retrospective analysis was conducted on the clinical data of 1,535 pediatric patients with TBI admitted to four medical institutions from January 1,2015,to December 31,2022.Patients were divided into two groups:those who received red blood cell transfusions during hospitalization and those who did not.Comparative analyses were performed on demographic,clinical,and laboratory data between these two groups.Logistic regression analysis was used to identify risk factors associated with in-hospital blood transfusion,and a predictive model was developed using a nomogram.The performance of this model was evaluated using a receiver operating characteristic(ROC)curve.Results Significant differences were observed between the blood transfusion and non-blood transfusion groups in terms of baseline demographics,clinical indicators,and laboratory test results(all P<0.05).Patients in the blood transfusion group exhibited significantly higher in-hospital mortality,compli-cation rates,use of mechanical ventilation,ICU admission rates,and length of stay compared to those in the non-blood transfusion group(all P<0.05).Multivariate logistic regression analysis identified heart rate,presence of other fractures,treatment methods,hemoglobin(Hb),platelet count(Plt),activated partial thromboplastin time(APTT),and D-dimer levels as independent risk factors for blood transfusion in TBI patients.The area under the ROC curve for the blood transfusion prediction model,based on these independent risk factors,was 0.95(95%CI:0.94～0.97),indicating excellent predictive accuracy.Calibration and decision curves further validated the robust-ness and reliability of the model's predictive capacity.Conclusions Heart rate,presence of other fractures,treatment methods,Hb,Plt count,APTT,and D-dimer levels serve as independent risk factors for blood transfusion in TBI patients.The prediction model developed based on these factors demonstrates excellent predictive performance,thereby guiding clinicians in making informed blood transfusion decisions and enhancing the success rate of patient outcomes.

Objective:To analyze the therapeutic effect of a virtual reality (VR)-based accommodation training device on accommodative excess visual fatigue.Methods:A case-control study was conducted.A total of 20 normal subjects (20 eyes) and 20 patients with accommodative excess visual fatigue (20 eyes) were recruited at Zhongshan Ophthalmic Center, Sun Yat-sen University between January and December 2022.The study consisted of two phases.In the first phase, the effect of watching videos with VR glass on the subjects' subjective and objective visual function was evaluated.Normal subjects wore VR device to watch a 2D video for 30 minutes, and assessments were performed before and after viewing.These assessments included binocular accommodation/convergence function (accommodation response, accommodative convergence to accommodation ratio [AC/A]), tear film function (first tear film break-up time), subjective symptoms (visual fatigue score), and basic visual health parameters including best corrected visual acuity (BCVA) and intraocular pressure (IOP).In the second phase, the improvement in subjective and objective visual fatigue metrics with the VR-based accommodation training device was investigated.Patients with visual fatigue were divided into a traditional training group using traditional flipper lenses and a VR training group using the VR accommodation training device, with 10 eyes in each group.The effects of the VR accommodation training device on indicators such as accommodative sensitivity, accommodation response, convergence function, visual fatigue score, acceptability score, system usability score, BCVA, and IOP were evaluated and compared between the two groups.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Zhongshan Ophthalmic Center, Sun Yat-sen University (No.IIT2021007).Written informed consent was obtained from each subject.Results:In normal subjects, there was no statistically significant difference in first tear film break-up time, distance phoria, near phoria, AC/A, accommodative response, BCVA, or IOP before and after 30 minutes of continuous viewing of 2D video using VR glass ( t=1.155, 1.360, 4.479, 1.979, -1.249, -3.017, 2.211; all P>0.05).The visual fatigue score remained unchanged at (1.00±0.00) points before and after viewing.Among the subjects with visual fatigue, there were statistically significant differences in binocular accommodative sensitivity, dominant eye accommodative sensitivity, and BCVA before and after using the VR accommodation training device ( F=8.693, 4.078, 4.942; all P<0.05).Ocular accommodation sensitivity at 8 weeks after training was improved compared with 1 week after training, and BCVA at 4 weeks after training was improved compared with before training, and the differences were statistically significant (both P<0.05).In the VR training group, the average tear film break-up time, first tear film break-up time, and BCVA increased and the visual fatigue score decreased compared with before training, the differences were statistically significant (all P<0.05).In the traditional training group, the accommodation sensitivity of the dominant eye increased after training compared with before training, with a statistically significant difference ( P<0.05). Conclusions:Watching 2D videos with VR glass for 30 minutes does not induce subjective or objective symptoms of visual fatigue.The VR-based accommodation training paradigm effectively improves accommodative sensitivity and alleviates subjective symptoms of visual fatigue in individuals with accommodative excess visual fatigue.

Objective:To analyze the clinical effect of XinjiaHuanglong Decoction add and subtract combined with auricular point sticking on delirium after hip fracture in elderly patients.Methods:Select 80 elderly patients with postoperative delirium after hip fracture admitted to our hospital from January 2022 to June 2024,and divide them into a matched group and an observation group,with 40 cases in each group.The matched group was treated with olanzapine,and the observation group was treated with XinjiaHuanglong Decoction add and subtract combined with auricular point sticking.Inflammatory response indexes(IL-6,TNF-α,hs-CRP)and stress response indexes(dopamine(DA),5-hydroxytryptamine(5-HT)were detected before and Post-treatment in both groups.Compare the Delirium Rating Scale 98(DRS-R-98)scores,Mini Mental State Examination(MMSE)scores,and duration of delirium between two groups before and Post-treatment,comprehensively evaluate the efficacy,and record the occurrence of adverse reactions.Results:Post-treatment,the DRS-R-98 score in the observation group was lower than that in the matched group,and the MMSE score was higher than that in the matched group(P＜0.05);The duration of delirium in the observation group was shorter than that in the matched group,and the overall effective rate was higher than that in the matched group(P＜0.05).The levels of inflammatory response indicators in the observation group were lower than those in the matched group Post-treatment(P＜0.05);The level of stress response indicators in the observation group was lower than that in the matched group Post-treatment(P＜0.05);There was no difference in the incidence of adverse reactions between the two groups(P＞0.05).Conclusion:XinjiaHuanglong Decoction add and subtract combined with auricular point sticking has a certain effect on improving delirium after hip fracture in the elderly,and can shorten the duration of delirium,which may be related to reducing inflammation and stress response,and it is safe and worthy of clinical application.

Objective:To analyze the therapeutic effect of a virtual reality (VR)-based accommodation training device on accommodative excess visual fatigue.Methods:A case-control study was conducted.A total of 20 normal subjects (20 eyes) and 20 patients with accommodative excess visual fatigue (20 eyes) were recruited at Zhongshan Ophthalmic Center, Sun Yat-sen University between January and December 2022.The study consisted of two phases.In the first phase, the effect of watching videos with VR glass on the subjects' subjective and objective visual function was evaluated.Normal subjects wore VR device to watch a 2D video for 30 minutes, and assessments were performed before and after viewing.These assessments included binocular accommodation/convergence function (accommodation response, accommodative convergence to accommodation ratio [AC/A]), tear film function (first tear film break-up time), subjective symptoms (visual fatigue score), and basic visual health parameters including best corrected visual acuity (BCVA) and intraocular pressure (IOP).In the second phase, the improvement in subjective and objective visual fatigue metrics with the VR-based accommodation training device was investigated.Patients with visual fatigue were divided into a traditional training group using traditional flipper lenses and a VR training group using the VR accommodation training device, with 10 eyes in each group.The effects of the VR accommodation training device on indicators such as accommodative sensitivity, accommodation response, convergence function, visual fatigue score, acceptability score, system usability score, BCVA, and IOP were evaluated and compared between the two groups.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Zhongshan Ophthalmic Center, Sun Yat-sen University (No.IIT2021007).Written informed consent was obtained from each subject.Results:In normal subjects, there was no statistically significant difference in first tear film break-up time, distance phoria, near phoria, AC/A, accommodative response, BCVA, or IOP before and after 30 minutes of continuous viewing of 2D video using VR glass ( t=1.155, 1.360, 4.479, 1.979, -1.249, -3.017, 2.211; all P>0.05).The visual fatigue score remained unchanged at (1.00±0.00) points before and after viewing.Among the subjects with visual fatigue, there were statistically significant differences in binocular accommodative sensitivity, dominant eye accommodative sensitivity, and BCVA before and after using the VR accommodation training device ( F=8.693, 4.078, 4.942; all P<0.05).Ocular accommodation sensitivity at 8 weeks after training was improved compared with 1 week after training, and BCVA at 4 weeks after training was improved compared with before training, and the differences were statistically significant (both P<0.05).In the VR training group, the average tear film break-up time, first tear film break-up time, and BCVA increased and the visual fatigue score decreased compared with before training, the differences were statistically significant (all P<0.05).In the traditional training group, the accommodation sensitivity of the dominant eye increased after training compared with before training, with a statistically significant difference ( P<0.05). Conclusions:Watching 2D videos with VR glass for 30 minutes does not induce subjective or objective symptoms of visual fatigue.The VR-based accommodation training paradigm effectively improves accommodative sensitivity and alleviates subjective symptoms of visual fatigue in individuals with accommodative excess visual fatigue.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

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

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

The dysregulation of cyclin-dependent kinase 12 (CDK12), which may result from genomic alterations or modulation by upstream effectors, is implicated in cancer oncogenesis and progression. CDK12 overexpression or activation is sufficient to induce tumor initiation, recurrence, and therapeutic resistance. However, CDK12 may also exert tumor-suppressive functions in a context-dependent manner. Therefore, caution is warranted when targeting CDK12 in future clinical trials. A comprehensive elucidation of the dual roles and underlying mechanisms of CDK12 in carcinogenesis is urgently needed to advance precision oncology. This review provides an overview of the current understanding of the dysregulation and biological roles of CDK12 in cancer. Subsequently, we systematically summarize the functions and mechanisms of the oncogenic and tumor-suppressive roles of CDK12 in different contexts. Finally, we discuss the potential of CDK12 as a novel therapeutic target and its implications in clinical oncology, offering insights into future directions for innovative cancer treatment strategies.