OBJECTIVE: To analyze the demographic and clinical characteristics of inpatients with osteoporotic vertebral compression fractures (OVCF) and provide a basis for clinical prevention and treatment. METHODS: A retrospective analysis was performed on the clinical data of 744 inpatients diagnosed with OVCF between January 2017 and December 2021 who met the inclusion criteria. Among them, 146 were male and 598 were female, with age ranging from 50 to 95 years (mean, 69.37 years). The demographic characteristics (gender, age, ethnicity, occupation, regional distribution, urban-rural distribution, and seasonal incidence) and clinical features [causes of injury, history of vertebral fractures, smoking and drinking history in males, comorbidities (hypertension, diabetes, coronary atherosclerotic heart disease, cerebral infarction), body mass index (BMI), blood lipid levels, menopausal age in females, vertebral bone mineral density T-value, number of vertebral fractures, and fracture segment distribution] of OVCF patients were analyzed. Multiple linear regression was used to analyze the independent risk factors of vertebral osteoporosis. RESULTS: The demographic analysis indicated that female patients with OVCF were significantly younger than male patients ( P<0.05). Significant differences were observed in the age distribution of OVCF between males and females ( P<0.05), with the highest proportion of male patients in the 70-79 years group (37.0%) and the highest proportion of female patients in the 60-69 years group (40.0%). From 2017 to 2021, the age of onset for OVCF gradually increased, with a similar trend observed for both genders. The distribution of occupations between genders also showed significant differences ( P<0.05); with the top three occupations for males being farmers (48.6%), retirees (24.7%), and workers (13.7%), while for females, the leading occupations were farmers (51.5%), retirees (19.4%), and service workers (10.0%). Female OVCF patients had higher BMI, vertebral bone mineral density T-value, history of vertebral fractures, hypertension prevalence, and blood lipid levels compared to male patients ( P<0.05). No significant difference between the males and the females was found in ethnicity, seasonal distribution, regional distribution, urban-rural distribution, causes of injury, number of vertebral fractures, or prevalence of comorbidities (except hypertension) ( P>0.05). Among the 744 OVCF patients, a total of 1 309 vertebrae were involved, with 628 thoracic vertebrae (48.0%) and 681 lumbar vertebrae (52.0%). The most common fracture segments were L ₁ (22.5%), T ₁₂ (21.2%), followed by L ₂ (12.2%) and T ₁₁ (10.2%). No significant gender difference was observed in the distribution of fracture segments ( P>0.05). Multiple linear regression analysis indicated that older age, female, and lower BMI were independent risk factors for vertebral osteoporosis ( P<0.05). CONCLUSION The age of onset of OVCF patients is increasing year by year. The number of fractured vertebral bodies, age distribution of morbidity, occupational distribution, BMI, history of vertebral fracture, hypertension, and blood lipid levels are related to gender. The occurrence of OVCF is mainly in the thoracolumbar segment. The female, older age, and lower BMI are independent risk factors of osteoporosis.
Humans ; Male ; Female ; Aged ; Middle Aged ; Retrospective Studies ; Spinal Fractures/etiology* ; Aged, 80 and over ; Osteoporotic Fractures/etiology* ; Fractures, Compression/etiology* ; Risk Factors ; Bone Density ; China/epidemiology* ; Osteoporosis/epidemiology* ; Comorbidity ; Inpatients ; Sex Factors ; Age Factors

OBJECTIVE: To investigate the effectiveness of three-dimentional (3D) printed personalized guide plate-assisted wrist arthroscopic repair for Palmer type ⅠB triangular fibrocartilage complex (TFCC) injury. METHODS: A retrospective analysis was conducted on the clinical data of 20 patients with Palmer type ⅠB TFCC injuries admitted between January 2023 and March 2024 who met the selection criteria. Among them, 13 were male and 7 were female; ages ranged from 23 to 35 years, with a mean age of 30.3 years. All patients had a history of trauma, 12 cases involved falls and 8 cases involved sprains. All patients demonstrated a positive "piano key sign". MRI revealed deep ulnar-side tears of the TFCC. Conservative treatment for 6 weeks yielded poor or no clinical improvement. The interval from injury to surgery ranged from 2 to 9 months, with a mean of 5.0 months. Patients underwent wrist arthroscopic repair assisted by 3D printed personalized guide plate. Functional recovery was assessed preoperatively and postoperatively using the visual analogue scale (VAS) score for pain, modified Mayo wrist score, and range of motion (ROM) measurements for wrist flexion-extension, ulnar-radial deviation, and pronation-supination. At last follow-up, MRI was performed to evaluate the healing of TFCC. RESULTS: All 20 patients underwent successful surgery without complications such as vascular or nerve injury, fracture, incisional infection, or joint stiffness. All patients were followed up 9-18 months (mean, 12.4 months). At last follow-up, patients demonstrated significant improvements in VAS scores, modified Mayo wrist scores, wrist flexion-extension ROM, ulnar-radial deviation ROM, and pronation-supination ROM compared to preoperative levels ( P<0.05). MRI at last follow-up showed preserved TFCC continuity, excellent healing, and secure fixation. CONCLUSION 3D-printed personalized guide plate significantly improve outcomes in wrist arthroscopic TFCC repair for Palmer type ⅠB injuries. They enable high-quality suturing, facilitate anatomical reconstruction, and markedly enhance wrist function.
Humans ; Arthroscopy/methods* ; Male ; Adult ; Triangular Fibrocartilage/diagnostic imaging* ; Female ; Retrospective Studies ; Printing, Three-Dimensional ; Wrist Injuries/diagnostic imaging* ; Young Adult ; Bone Plates ; Treatment Outcome ; Wrist Joint/surgery* ; Magnetic Resonance Imaging ; Range of Motion, Articular

Objective:To explore the effects of dopamine receptor D2(DRD2)on astrocytic dedifferentiation based on SOX2-regulated genes in neural stem cells(NSCs)and astrocytes.Methods:Immunofluorescence staining and SOX2-GFP mice were used to examine the lineage differentiation of SOX2-positive cells during the development of cere-bral cortex.Primary NSCs/astrocytes culture,ChIP-seq and Western Blot were adopted to analyze and verify the expres-sion of candidate genes.Pharmacological manipulation,neurosphere formation,photochemical ischemia,immunofluo-rescence staining and behavior tests were adopted to evaluate the effects of activating DRD2 signaling on astrocytic dedif-ferentiation.Results:Immunofluorescence staining demonstrated the NSC-astrocyte switch of SOX2-expression in the normal development of cerebral cortex.ChIP-seq revealed enrichment of DRD2 signaling by SOX2-bound enhancers in NSCs and SOX2-bound promoters in astrocytes.Western Blot and immunofluorescence staining verified the expression of DRD2 in NSCs and reactive astrocytes.Application of quinagolide hydrocholoride(QH),an agonist of DRD2,signifi-cantly promoted astrocytic dedifferentiation both in vitro and in vivo following ischemia.In addition,quinagolide hydro-choloride treatment improved locomotion recovery.Conclusion:Activating DRD2 signaling facilitates astrocytic dedif-ferentiation and may be used to treat ischemic stroke.

Objective To retrieve evidences on the assessment and management of post-stroke fatigue and summarise the best evidences.Method Evidence-based nursing was employed to systematically retrieve the literatures on assessment and management of post-stroke fatigue from both foreign and domestic databases,including BMJ Best Practice,UpToDate,Joanna Briggs Institute(JBI)Evidence-Based Health Care Centre Database,American Guide Network,Scottish Intercollegiate Guide Network,Medlive,Cochrane Library,PubMed,CNKI and Wanfang Data.Joanna Briggs Institute(JBI)critical appraisal tool was used to assess the evidences retrieved from the databases.Results A total of two evidence-related summaries,five clinical practice guidelines and twenty systematic reviews were included.After evidence extraction and aggregation,three evidence-related themes were identified:assessment,behavioral intervention and health education and they comprised 18 pieces of best evidence on post-stroke fatigue.Conclusion This study summarised the best evidences for the assessment and management of post-stroke fatigue in patients.The best evidences provide nursing managers with valuable references in conducting evidence-based post-stroke nursing hence to prevent post-stroke fatigue and improve the quality of nursing care.

Odontogenic keratocyst(OKC)is a common jaw cyst with a high recurrence rate.OKC combined with basal cell carcinoma as well as skeletal and other developmental abnormalities is thought to be associated with Gorlin syndrome.Moreover,OKC needs to be differentiated from orthokeratinized odontogenic cyst and other jaw cysts.Because of the different prognosis,differential diagnosis of several cysts can contribute to clinical management.We collected 519 cases,comprising a total of 2157 hematoxylin and eosin-stained images,to develop digital pathology-based artificial intelligence(AI)models for the diagnosis and prognosis of OKC.The Inception_v3 neural network was utilized to train and test models developed from patch-level images.Finally,whole slide image-level AI models were developed by integrating deep learning-generated pathology features with several machine learning algorithms.The AI models showed great performance in the diagnosis(AUC=0.935,95%CI:0.898-0.973)and prognosis(AUC=0.840,95%CI:0.751-0.930)of OKC.The advantages of multiple slides model for integrating of histopathological information are demonstrated through a comparison with the single slide model.Furthermore,the study investigates the correlation between AI features generated by deep learning and pathological findings,highlighting the interpretative potential of AI models in the pathology.Here,we have developed the robust diagnostic and prognostic models for OKC.The AI model that is based on digital pathology shows promise potential for applications in odontogenic diseases of the jaw.

Objective:To explore the latent classes of health behavior and explore the predictive factors among stroke patients.Methods:A total of 1 250 participants were recruited using cluster random sampling in September 2022. The general information, the modified Rankin scale(mRS), stroke prevention knowledge questionnaire(SPKQ), health behavior scale for stroke patients (HBS-SP), and short form-health belief model scale (SF-HBMS) were administered in the cross-sectional survey. Mplus 8.3 software was used to conduct a latent class analysis (LCA) on the health behavior of stroke patients, and SPSS 27.0 software was used to carry out multinomial Logistic regression to analyze the predictive factors of different latent classes of health behavior of stroke patients.Results:The health behavior of stroke patients obtained three latent classes: low health behaviors-lack of health responsibility group (66.9%, n=794), moderate health behaviors-poor compliance group (11.9%, n=141), and good health behaviors-insufficient exercise group (21.2%, n=251). Compared with good health behaviors-insufficient exercise group, stroke patients with shorter duration education time ( B=-0.589, OR=0.555, P=0.036), hemorrhagic stroke ( B=0.082, OR=1.086, P<0.001), fewer comorbidities ( B=-0.022, OR=0.978, P=0.026), higher mRS score ( B=-0.046, OR=1.047, P=0.004), lower SPKQ score ( B=-0.055, OR=0.947, P=0.016), and lower SF-HBMS score ( B=-0.085, OR=0.919, P<0.001) were more likely to be included in moderate health behaviors-poor compliance group. However, stroke patients with shorter duration education time ( B=-0.026, OR=0.974, P=0.003), rural areas dwelling ( B=0.800, OR=2.225, P=0.004), fewer comorbidities ( B=-0.056, OR=0.945, P<0.001), lower SPKQ score ( B=-0.101, OR=0.904, P<0.001), and lower SF-HBMS score ( B=-0.071, OR=0.931, P<0.001) were more likely to be included in low health behaviors-lack of health responsibility group. Conclusion:The health behavior of stroke patients has three latent classes. A targeted intervention should be carried out according to the characteristics of different classes to improve their health behavior levels.

Objective:To explore the potential facilitators and barriers to healthy behavior among stroke patients.Methods:Semi-structured interviews were conducted among 16 stroke patients from September 2022 to March 2023 using an objective sampling method.The interview guide was developed using the theoretical domain framework(TDF). Interviews were transcribed and refined the theme using directed content and induction analysis.Using the TDF as the initial coding framework, the themes were then merged into the most relevant domains.Finally, the correspondence between theoretical domains and the healthy behavior of stroke patients was determined based on the frequency and relationship between themes.Results:This study identified nine theoretical domains that affected the healthy behavior of stroke patients: knowledge, skills, motivation and goals, social influences, social/professional role and identity, environment context and resources, belief about capability, consequence belief and behavioral regulation.Conclusion:The healthy behavior of stroke patients is complex and influenced by several factors.The nine theoretical domains identified in this study will provide recommendations for future healthy behavior interventions for stroke patients.

Outpatient humanistic care refered to providing a full process of caring medical services to outpatients. In order to standardize the human caring services for outpatients in medical institutions, promote the comprehensive service level of outpatient services, and improve the patient′s medical experience, Chinese Association for Life Care issued the group standard of Management Norms for Human caring of Outpatients in April 2023. This standard clarified the relevant terms and definitions of human caring for outpatients, specified the basic requirements for human caring, the humanistic quality and care responsibilities of outpatient staff, the outpatient care environment and facilities, the outpatient care process and measures, and quality management. It designed standardized and personalized full process care service norms, providing references for medical institutions at all levels to promote the development of human caring for outpatients.

This article reviews the current status, challenges, and reflections on the full-cycle health management of stroke in China. In response to the three major challenges of insufficient public attention to stroke health management, inadequate management of health care services, and an incomplete quality evaluation system, this article proposes to encourage the participation of multiple stakeholders and promote proactive health management, deepen interdisciplinary cooperation and multi-governance, strengthen human resource construction, establish and improve stroke full-cycle health management norms and quality evaluation systems, so as to provide reference for the development and improvement of stroke full-cycle health management in China.

Objective:To explore the latent profile types of capability-opportunity-motivation-behavior in stroke patients and analyze the influencing factors of different latent profiles.Methods:From January to October 2023, totally 596 stroke patients from the Neurology Department of five ClassⅢ Grade A hospitals in Henan Province were selected by stratified random sampling. The patients were surveyed using a general information questionnaire, the Stroke Prevention Knowledge Questionnaire (SPKQ), the Social Support Rating Scale (SSRS), the WHO's Quality of Life Questionnaire- Brief Version (WHOQOL-BREF), the Short Form Health Belief Model Scale (SF-HBMS), and the Health Promoting Lifestyle ProfileⅡ (HPLPⅡ). Latent profile analysis was used to classify the capability-opportunity-motivation-behavior characteristics of stroke patients, and multiple logistic regression was conducted to explore the influencing factors of different latent profiles.Results:Three latent profiles of capability-opportunity-motivation-behavior in stroke patients were identified, including low capability-opportunity-motivation-behavior with high health beliefs (32.4%, 193/596), moderate capability-opportunity-motivation-behavior with insufficient health beliefs (47.5%, 283/596), and high capability-opportunity-motivation-behavior with lack of social support (20.1%, 120/596). Multiple logistic regression analysis showed that educational level, smoking history, family history, body mass index, and Charlson Comorbidity Index score were influencing factors of different latent profiles ( P<0.05) . Conclusions:Stroke patients exhibit distinct classifications of capability-opportunity-motivation-behavior. Targeted interventions should be conducted based on the characteristics of each category to improve health behavior management outcomes in patients.