OpenSim is an open source, free motion simulation and gait analysis software, which can be used to dynamically simulate and analyze the complex motion of the human body, and is widely used in human biomechanical research. Since OpenSim can analyze multi-dimensional motion data such as muscle strength, joint torque, and muscle synergistic activation during human movement, it can be used to study the biomechanical mechanism of musculoskeletal imbalance diseases and various treatment methods in TCM orthopedics, and has a broad application prospect in the field of TCM orthopedics. By the analysis of the basic characteristics, elements, analysis process, and application prospects of OpenSim, it is concluded that OpenSim musculoskeletal model has a large application space in the field of traditional Chinese medicine orthopedic, which is helpful to explain the pathogenesis and mechanism of diseases, and promote the precision diagnosis and treatment of orthopedics diseases;the application of OpenSim musculoskeletal model can solve the problem that the previous research paid attention to the bone malalignment and not enough attention to the tendon, and provide a new method for the research of orthopedic diseases. At present, there are still problems in the promotion and application of OpenSim, such as large equipment requirements and high operation threshold. Therefore, multidisciplinary cooperation, clinical research, and data sharing are the basic research strategies in this field.
Humans ; Biomechanical Phenomena ; Orthopedics ; Traumatology ; Software ; Medicine, Chinese Traditional ; Musculoskeletal System ; Models, Biological

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To understand the current situation of protective mask wearing behavior of health care workers(HCWs),analyze the influencing factors for the failure to wear medical protective masks in a standard manner,and provide basis for the improvement of mask-wearing related training.Methods From June 2022 to March 2023,staff in a tertiary first-class hospital were selected as the research object.Real-time quantitative fitness testing using aerosol condensation particle counting method was applied to test 5 commonly used medical protective masks available in the market.Fitness factor changes of the testing instrument and assistance from professional per-sonnel were needed to comprehensively estimate the wearing condition of medical protective masks.Participants were surveyed through a self-made general information questionnaire.Heads and faces of participants were scanned by three-dimensional(3D)laser scanning technology,and scanned images were imported into Geomagic Studio 2013 software to measure head and face dimensions.Results A total of 222 HCWs were investigated,991 real-time tests and 208 times of 3D scanning were conducted.221(22.30％)tests showed failure of participants in wearing masks in a standard manner.The non-standard wearing rates of 5 types of medical protective masks were 30.56％,25.62％,25.87％,23.15％,and 7.35％,respectively.The non-standard mask-wearing rates showed statistically significant difference between groups categorized in terms of medical protective masks with different shapes,partici-pants'occupation,time of last training for wearing medical protective masks,and participants'experience in pre-vention and control of respiratory infectious disease(all P＜0.05).There were no statistically significant differences in non-standard mask-wearing rate between groups with different brands and sizes of medical protective masks,as well as gender and department of participants,etc.(all P＞0.05).The body mass index(BMI)was significantly different among participants who wear foldable medical protective masks in the standard and non-standard manner(both P＜0.05).Conclusion Wearing medical protective masks by HCWs in a non-standard manner is influenced by multiple factors.It is recommended to conduct real-time testing before formal quantitative fitness testing,so as to save time and improve testing efficiency.When conducting training on wearing medical protective masks in the fu-ture,targeted training should be provided based on mask shape and focus on logistics personnel,interns,individuals with high BMI,those who have never received training on wearing medical protective masks,and those who have never participated in the prevention and treatment of respiratory infectious diseases.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

China prospective multicenter birth cohort (Prospective Omics Health Atlas birth cohort, POHA birth cohort) study was officially launched in 2022. This study, in collaboration with 12 participating units, aims to establish a high-quality, multidimensional cohort comprising 20 000 naturally conceived families and assisted reproductive families. The study involves long-term follow-up of parents and offspring, with corresponding biological samples collected at key time points. Through multi-omics testing and analysis, the study aims to conduct multi-omics big data research across the entire maternal and infant life cycle. The goal is to identify new biomarkers for maternal and infant diseases and provide scientific evidence for risk prediction related to maternal diseases and neonatal health.

Objective: To understand the incidence of delayed vaccination with the national immunization program vaccines among children aged 0-6 years in Xuhui District, Shanghai, and to evaluate the safety of delayed vaccination. Methods: A stratified random sampling was used to obtain six vaccination clinics in Xuhui District, Shanghai. The vaccination records of children 0-6 years from these six vaccination clinics were collected from the Shanghai Immunization Program Information Management System. Adverse events following immunization (AEFI) data were collected from the China Information System for Disease Control and Prevention. Descriptive epidemiology was used to analyze the data. Children were divided into the timely vaccination group and delayed vaccination group according whether they were delayed in vaccination (received one month or more after the recommended age among children aged ≤1 year; received three months or more after the recommended age among children aged >1 year). The safety of four vaccination methods-individual vaccination, simultaneous vaccination, routine vaccination and combined vaccination-were further compared. Differences between groups were compared using chi-square test. Results: From 2019 to 2021, six vaccination clinics in Xuhui District administered 124 031 doses of the national immunization program vaccines among children aged 0-6 years, and delayed vaccinations accounted for 25.99% (32 234/124 031) of these doses. In 2020, the delayed vaccination rate during the first-level COVID-19 public health emergency response period in Shanghai was significantly higher than that in the same period in 2019 (34.70% vs. 24.19%, χ²=136.23, P<0.05). The delayed vaccination rate during the COVID-19 vaccination campaign in 2021 was significantly higher than that in the same period in 2019 (25.27% vs. 22.55%, χ²=82.80, P<0.05). From 2019 to 2021, a total of 475 cases of AEFI were reported in six vaccination clinics, with a reported incidence of 382.97 per 100 000 doses, including 421 cases of common adverse reaction (88.63%, 339.43 per 100 000 doses), 51 cases of rare adverse reaction (10.74%, 41.12 per 100 000 doses) and 3 cases of coincidences (0.63%, 2.42 per 100 000 doses). The reported incidence of AEFI among delayed vaccinations was significantly lower than that among timely vaccinations (291.62 per 100 000 doses vs. 415.05 per 100 000 doses). The incidence of AEFI for the four delayed vaccination methods (individual vaccination, simultaneous vaccination, routine vaccination and combined vaccination) was lower than that for timely vaccination. There were significant differences between the groups except for the routine vaccination group (χ²=9.82, P<0.05; χ²=5.46, P<0.05; χ²=2.97, P>0.05; χ²=11.89, P<0.05). Conclusions: In Xuhui District of Shanghai, 25.99% of doses of the national immunization program vaccines administered to children 0-6 years were delayed. Delayed vaccination does not increase the risk of AEFI compared with timely vaccination.

To explore the predictive value of preoperative serum CYFRA 21-1 in colorectal cancer (CRC) resection patients. In this retrospective study, 456 patients with CRC who received surgical treatment in the Department of General Surgery, Affiliated Hospital of Nantong University from January 2016 to February 2018 were analyzed. Preoperative CYFRA 21-1, CEA, CA19-9 and pathological data of the study subjects were collected. Determine the cut-off value of CYFRA 21-1 based on the X-tile. Chi-square test or Fisher exact probability test were used to compare clinicopathological features in different CYFRA 21-1 level groups. Univariate and multivariate regression analysis of factors affecting 5-year overall survival (OS) and disease-free survival (DFS). Kaplan-Meier survival curves were used to analyze 5-year differences in OS and DFS in CRC patients with different levels of CYFRA 21-1, CEA and CA19-9. Receiver operating characteristic(ROC) was adopted. ROC curves were used to analyze the prognostic efficacy of CYFRA21-1 for CRC, and nomogram maps were used to predict 1, 3, and 5-year survival rates. The results showed that the optimal cut-off values of serum CYFRA 21-1, CEA and CA19-9 were 4.9 ng/ml, 29.2 ng/ml and 72.8 U/ml, respectively. Different gender, tumor size, location, degree of differentiation, depth of invasion, lymph node metastasis and tumor node metastasis (TNM) classification stage were significantly different between the two groups with high and low CYFRA 21-1, the P-values were 0.018,<0.001,<0.001,<0.001, 0.002, 0.001, 0.003, respectively. CYFRA 21-1 (≥4.9 ng/ml) was an independent risk factor for 5-year OS (HR: 4.008, 95%CI: 2.309-6.958, P<0.001) and DFS (HR: 3.75, 95%CI: 2.227-6.314, P<0.001) in CRC patients. CYFRA 21-1 predicts a 5-year AUC of 0.725 and 0.720 for OS and DFS, respectively, and 0.804 and 0.827 for the combination of CEA and CA19-9. Based on the results of multivariate Cox regression analysis, nomogram graphs of OS and DFS were established, the C-indexes were 0.799 and 0.803, respectively. In conclusion, preoperative serum CYFRA 21-1 level may be an independent risk factor affecting the prognosis of patients with colorectal cancer. The prognostic model established by CYFRA 21-1 combined with CEA, CA19-9 and TNM stages may provide references for the prevention of CRC recurrence and clinical decision-making.
Humans ; Colorectal Neoplasms/pathology* ; CA-19-9 Antigen ; Retrospective Studies ; Neoplasm Staging ; Neoplasm Recurrence, Local/pathology* ; Biomarkers, Tumor

OBJECTIVES: To explore the relationship between atherogenic index of plasma (AIP) and childhood asthma. METHODS: This retrospective study included 86 children with asthma admitted to the Changzhou Second People's Hospital Affiliated to Nanjing Medical University from July 2020 to August 2022 as the asthma group and 149 healthy children undergoing physical examination during the same period as the control group. Metabolic parameters including total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and blood glucose, as well as general information of the children such as height, weight, body mass index, presence of specific dermatitis, history of inhalant allergen hypersensitivity, family history of asthma, and feeding history, were collected. Multivariable logistic regression analysis was used to study the relationship between AIP, triglycerides, and high-density lipoprotein cholesterol and asthma. The value of AIP, triglycerides, and high-density lipoprotein cholesterol for predicting asthma was assessed using receiver operating characteristic (ROC) curve analysis. RESULTS: The AIP and triglyceride levels in the asthma group were significantly higher than those in the control group, while high-density lipoprotein cholesterol was significantly lower (P<0.05). However, there was no significant difference in total cholesterol and low-density lipoprotein cholesterol between the two groups (P>0.05). Before and after adjusting for height, weight, presence of specific dermatitis, history of inhalant allergen hypersensitivity, family history of asthma, feeding method, and blood glucose, multivariable logistic regression analysis showed that AIP, triglycerides, and high-density lipoprotein cholesterol were associated with asthma (P<0.05). ROC curve analysis showed that the optimal cutoff value for predicting asthma with AIP was -0.333, with a sensitivity of 80.2%, specificity of 55.0%, positive predictive value of 50.71%, and negative predictive value of 82.85%. The area under the curve (AUC) for AIP in predicting asthma was significantly higher than that for triglycerides (P=0.009), but there was no significant difference in AUC between AIP and high-density lipoprotein cholesterol (P=0.686). CONCLUSIONS AIP, triglycerides, and high-density lipoprotein cholesterol are all associated with asthma. AIP has a higher value for predicting asthma than triglycerides and comparable value to high-density lipoprotein cholesterol.
Humans ; Child ; Retrospective Studies ; Blood Glucose ; Triglycerides ; Cholesterol, HDL ; Cholesterol, LDL ; Asthma/etiology* ; Dermatitis ; Risk Factors

To explore the predictive value of preoperative serum CYFRA 21-1 in colorectal cancer (CRC) resection patients. In this retrospective study, 456 patients with CRC who received surgical treatment in the Department of General Surgery, Affiliated Hospital of Nantong University from January 2016 to February 2018 were analyzed. Preoperative CYFRA 21-1, CEA, CA19-9 and pathological data of the study subjects were collected. Determine the cut-off value of CYFRA 21-1 based on the X-tile. Chi-square test or Fisher exact probability test were used to compare clinicopathological features in different CYFRA 21-1 level groups. Univariate and multivariate regression analysis of factors affecting 5-year overall survival (OS) and disease-free survival (DFS). Kaplan-Meier survival curves were used to analyze 5-year differences in OS and DFS in CRC patients with different levels of CYFRA 21-1, CEA and CA19-9. Receiver operating characteristic(ROC) was adopted. ROC curves were used to analyze the prognostic efficacy of CYFRA21-1 for CRC, and nomogram maps were used to predict 1, 3, and 5-year survival rates. The results showed that the optimal cut-off values of serum CYFRA 21-1, CEA and CA19-9 were 4.9 ng/ml, 29.2 ng/ml and 72.8 U/ml, respectively. Different gender, tumor size, location, degree of differentiation, depth of invasion, lymph node metastasis and tumor node metastasis (TNM) classification stage were significantly different between the two groups with high and low CYFRA 21-1, the P-values were 0.018,<0.001,<0.001,<0.001, 0.002, 0.001, 0.003, respectively. CYFRA 21-1 (≥4.9 ng/ml) was an independent risk factor for 5-year OS (HR: 4.008, 95%CI: 2.309-6.958, P<0.001) and DFS (HR: 3.75, 95%CI: 2.227-6.314, P<0.001) in CRC patients. CYFRA 21-1 predicts a 5-year AUC of 0.725 and 0.720 for OS and DFS, respectively, and 0.804 and 0.827 for the combination of CEA and CA19-9. Based on the results of multivariate Cox regression analysis, nomogram graphs of OS and DFS were established, the C-indexes were 0.799 and 0.803, respectively. In conclusion, preoperative serum CYFRA 21-1 level may be an independent risk factor affecting the prognosis of patients with colorectal cancer. The prognostic model established by CYFRA 21-1 combined with CEA, CA19-9 and TNM stages may provide references for the prevention of CRC recurrence and clinical decision-making.
Humans ; Colorectal Neoplasms/pathology* ; CA-19-9 Antigen ; Retrospective Studies ; Neoplasm Staging ; Neoplasm Recurrence, Local/pathology* ; Biomarkers, Tumor