Objective To explore the effect of sodium ferulate injection on myocardial function in rat model with myocardial ischemia and reperfusion. Methods Selected 60 rats aged 7 ~8 weeks (7. 26 ± 0. 36 weeks averagely) and randomly divided them into the sham group, myocardial reperfusion group, and the sodium ferulate group, with 20 rats in each group. Observed the changes of the cardiac func-tion indexes of the two groups after perfusion. Results Compared with the sham group,the degree of LVESP and ± dp/dmax decreased sig-nificantly (P<0. 05) in the myocardial reperfusion group and the sodium ferulate group. The descending degree of LVESP and ± dp/dmax 2 hours after reperfusion in the reperfusion group was significantly higher than that in the sodium ferulate group (P<0. 05). Compared with the sham group,the LVEDP of the other two groups showed a rising trend,and it was significantly lower 2 hours after reperfusion in the sodium ferulate group compared to the reperfusion group (P<0. 05). Proportion of apoptosis cells increased in the reperfusion group and the sodium ferulate group,and positive expression rate of Fas in the sodium ferulate group was significantly lower than the reperfusion group (P<0. 05). LDH and CK-MB of content in the blood of rats were significant increased,and it was higer in the reperfusion group compared with the sodium ferulate group (P<0. 05). Compared with the sham group,SOD content in the reperfusion group and the sodium ferulate group decreased obviously (P<0. 05). The MDA content increased,but the degree of increase was lower in the sodium ferulate group (P<0. 05). Conclu-sion Sodium ferulate could protect the myocardial function in rat model with myocardial ischemia and reperfusion to a certain degree.

Objective To investigate the ex pr ession of nm23-H1 protein and proliferating cell nuclear antigen (PCNA) in huma n glioma cells. Methods Expression of nm23-H1 and PCNA in 53 br ain gliomas were detected by immunohistochemistry. Results The immunohistochemistry staini ng of nm23-H1 protein in low-grade astrocytomas (grades Ⅰ and Ⅱ) was significantly higher than that in high-grade astrocytomas (grades Ⅲ and Ⅳ). The immunohistochemistry staining of PCNA in high-grade astrocytomas was s ignificantly higher than that in low-grade astrocytomas. Conclusion The lower expression of nm23-H1 protein and the higher expression of PCNA are correlated with the pathological grade of glioma cells. The expression of nm23-H1 may be used as a hopeful marker for predicting the metastastic potential of gliomas.

Objective To investigate the risk factors for post-traumatic hydrocephalus ( PTH) after traumatic brain injury ( TBI ) . Methods A retrospective case control analysis was made on the clinical data of 794 patients with acute TBI admitted to Shenzhen Second People's Hospital between January 2007 and January 2017. There were 639 males and 155 females, aged 1-90 years [(40. 5 ± 18. 6)years]. All patients were followed up for 1 years, and the patients were divided into PTH group (n=46) and non-PTH group (n=748) according to their prognosis. The following information including Glasgow coma score ( GCS ) on admission, pupil reflex, midline shift and cistern compression, subarachnoid hemorrhage ( SAH ) , operation method, decompressive craniectomy, hydrocephalus after operation, intracranial infection, timing of cranioplasty were analyzed using univariate analysis and Logistic regression. Results PTH occurred in 46 patients (5. 8％). Univariate analysis showed that GCS, midline shift, decompressive craniectomy, subdural effusion, timing of cranioplasty and SAH were significantly related to PTH (P<0. 05 or 0. 01). Logistic regression identified low GCS (OR=3. 778), decompressive craniectomy (OR=2. 508), subdural effusion (OR=2. 269), timing of cranioplasty (≥3 months)(OR=10. 478) and SAH (OR=23. 391) as the independent risk factors for PTH (P<0. 05 or 0. 01). Conclusion PTH is a common serious complication of traumatic brain injury, affected by low GCS, decompressive craniectomy, subdural effusion, delayed cranioplasty and SAH.

Objective To investigate the role and existing dilemmas of policies related to traditional Chinese medicine talents in China in terms of their growth paths and attitudes towards existing policies.Methods A questionnaire survey was conducted to investigate the current situation of the development of traditional Chinese medicine talents and their views on the existing policies.Results 278 valid questionnaires were collected.In general,traditional Chinese medicine talents are quite satisfied with the current talent policy,the interviewees with senior professional titles have a better understanding of the talent policy,and the young members and members of the Chinese society of traditional Chinese medicine have a more positive and urgent attitude towards building a talent policy and evaluation index system with traditional Chinese medicine characteristics.Respondents generally believe that the current financial support for talent projects of traditional Chinese medicine is average,but it can stimulate the growth of young scholars.The title of talents and the achievements of scholars'scientific research complement each other.Conclusion In the process of the development of the field of traditional Chinese medicine,we should speed up the training of innovative talents of traditional Chinese medicine,establish talent evaluation indicators with traditional Chinese medicine characteristics,improve the evaluation and project management system of traditional Chinese medicine talents,and reasonably optimize the incentive mechanism brought by the title of talents.

Objective:To compare the effectiveness of awake prone positioning (APP) care combined with standardized nursing and standardized nursing care in the prevention of early postoperative pulmonary complications (PPCs) in elderly patients with hip fracture.Methods:A retrospective cohort study was conducted to analyze the clinical data of 84 elderly patients with hip fracture Admitted to Zhongda Hospital Affiliated to Southeast University from February 2021 to August 2021. There were 31 males and 53 females, aged 67-96 years [(82.3±6.3)years]. Fracture types were femoral neck fracture ( n=45) and intertrochanteric fracture ( n=39). Surgical procedures included closed reduction internal fixation ( n=39), hip hemiarthroplasty ( n=35), and total hip arthroplasty ( n=10). Among them, 42 patients received standardized nursing care and APP intervention (APP combined with standardized nursing care group), while the remaining 42 patients received standardized nursing care only (standardized nursing care group). The incidence rate of PPCs (including pneumonia, respiratory failure, pleural effusion, atelectasis and pulmonary edema) within 30 postoperative days, arterial oxygen pressure (PaO 2), arterial carbon dioxide pressure (PaCO 2), arterial oxygen saturation (SaO 2) on the 4th postoperative day, difference in PaO 2 between the 4th postoperative day and emergency visit, clinical pulmonary infection score (CPIS) on the 4th postoperative day, and number of adverse events related to APP were compared between the two groups. Results:All the patients were followed up for 30-90 days [(86.1±16.5)days]. The incidence rates of PPCs and type 1 postoperative respiratory failure in the APP combined with standardized nursing care group were 16.7% (7/42) and 4.8% (2/42), and were 35.7% (15/42) and 21.4% (9/42) in the standardized nursing care group (all P<0.05). The PaO 2 and SaO 2 on the 4th postoperative day, and difference in PaO 2 between the 4th postoperative day and emergency visit were (82.0±8.8)mmHg, 0.96±0.01, and 3.2 (-1.9, 8.0)mmHg in the APP combined with standardized nursing care group, and were (74.3±12.1)mmHg, 0.94±0.03, and -7.6 (-17.2, 1.1)mmHg in the standardized nursing care group (all P<0.01). The CPIS on the 4th postoperative day was 2.0 (1.0, 3.0)points in the APP combined with standardized nursing care group and 4.0 (1.0, 7.0)points in the standardized nursing care group ( P<0.05). No statistically significant differences were observed in the incidence of pneumonia, type I respiratory failure, pleural effusion, atelectasis and pulmonary edema within 30 postoperative days, as well as PaCO 2 on the 4th postoperative day between the two groups (all P>0.05). None of the patients experienced adverse events related to APP. Conclusion:For elderly patients with hip fracture, compared with standardized nursing care, application of APP combined with standardized nursing care can significantly decrease the incidence rate of early PPCs, especially type I respiratory failure, and improve postoperative oxygenation.

Objective:To explore the clinical value of cluster management in secondary hydrocephalus.Methods:Seventy-seven patients with secondary hydrocephalus admitted to Department of Neurosurgery, Shenzhen Second People's Hospital from January 2016 to June 2021 were chosen; they were divided into traditional management group ( n=30) and cluster management group ( n=47) according to different management methods. Patients in traditional management group accepted craniocerebral CT and 3 consecutive times of cerebrospinal fluid tests, and normal results were achieved and then ventriculoperitoneal shunt (VPS) was performed. In patients from the cluster management group, on the basis of management treatment, cranial plain and enhanced MRI and DNA metagenomic next generation sequencing of cerebrospinal fluid were performed before surgery, and rapid test of cerebrospinal fluid and ventriculoscope observation were performed during surgery; after exclusion of intracranial infection, VPS was performed. The differences of shunt failure rate were compared between the two groups and the positive rates of intracranial infection detected by above 4 methods were compared in the cluster management group. Results:There was significant difference in shunt failure rate between the cluster management group and traditional management group (2.1% vs. 20.0%, P<0.05). The positive rates of intracranial infection by DNA metagenomics (61.7%) and ventriculoscopy (68.1%) were significantly higher than those by preoperative cranial plain and enhanced MRI (14.9%) and rapid test of cerebrospinal fluid (6.4%, P<0.05). Conclusion:Cluster management can effectively decrease the VPS failure rate in secondary hydrocephalus; DNA metagenomics and ventriculoscopy have high efficiency in detecting intracranial infection.

Objective:To analyze the risk factors for postoperative one-year mortality in elderly patients with femoral intertrochanteric fracture following multidisciplinary treatment (MDT) by intramedullary nailing.Methods:The clinical data were retrospectively analyzed of the 158 elderly patients with femoral intertrochanteric fracture who had undergone MDT by proximal femoral intramedullary nailing between January 2018 and August 2020 at Department of Orthopedics, Trauma Center, Zhongda Hospital Affiliated to Southeast University. There were 41 males and 117 females with an average age of 82.5 years (from 65 to 95 years). By the modified Evans classification, there were 15 cases of type Ⅰ, 16 cases of type Ⅱ, 35 cases of type Ⅲ, 81 cases of type Ⅳ, and 11 cases of type Ⅴ. The one-year mortality was documented in the patients after surgery. To screen for risk factors, univariate analysis was conducted of gender, age, body mass index (BMI), modified Evans classification of fractures, time from injury to operation, American Society of Anesthesiologists (ASA) classification, Charlson comorbidity index (CCI) and comorbidities, as well as preoperative hemoglobin (Hb), serum albumin (ALB) and total lymphocyte count (TLC). The factors with P<0.05 were included in the multivariate logistic regression model analysis to determine the risk factors. Results:A total of 13 patients died within one year after surgery, yielding a mortality of 8.2% (13/158). Univariate analysis showed significant differences in age, body mass index, modified Evans classification of fractures, CCI and Hb between the surviving and dead patients ( P<0.05). Multivariate logistic regression analysis showed that age >85 years ( OR=0.122, 95% CI: 0.018 to 0.834, P=0.032), BMI>23.9 kg/m 2 ( OR=0.083, 95% CI: 0.013 to 0.510, P=0.007), CCI≥3 points ( OR=0.051, 95% CI: 0.090 to 0.275, P=0.001) and preoperative Hb<90 g/L ( OR=4.733, 95% CI: 1.036 to 21.624, P=0.045) were the independent risk factors for postoperative one-year mortality in the elderly patients with intertrochanteric fracture following MDT by proximal femoral intramedullary nailing. Conclusions:After MDT by proximal femoral intramedullary nailing of femoral intertrochanteric fractures, the geriatric patients with an age >85 years, BMI>23.9 kg/m 2, CCI≥3 points and Hb<90 g/L are likely to die. Therefore, special care should be taken for them.

OBJECTIVE: To review the current applications of machine learning in orthopaedic trauma and anticipate its future role in clinical practice. METHODS: A comprehensive literature review was conducted to assess the status of machine learning algorithms in orthopaedic trauma research, both nationally and internationally. RESULTS: The rapid advancement of computer data processing and the growing convergence of medicine and industry have led to the widespread utilization of artificial intelligence in healthcare. Currently, machine learning plays a significant role in orthopaedic trauma, demonstrating high performance and accuracy in various areas including fracture image recognition, diagnosis stratification, clinical decision-making, evaluation, perioperative considerations, and prognostic risk prediction. Nevertheless, challenges persist in the development and clinical implementation of machine learning. These include limited database samples, model interpretation difficulties, and universality and individualisation variations. CONCLUSION The expansion of clinical sample sizes and enhancements in algorithm performance hold significant promise for the extensive application of machine learning in supporting orthopaedic trauma diagnosis, guiding decision-making, devising individualized medical strategies, and optimizing the allocation of clinical resources.
Artificial Intelligence ; Orthopedics ; Machine Learning ; Algorithms