Objective:To construct a representative index system for evaluating pediatric orthopedic nursing quality, providing a basis for hospital pediatric orthopedic nursing quality assessment and monitoring.Methods:From April to July 2023, using the "structure-process-outcome" three-dimensional quality structure model as the theoretical framework, a literature review was conducted, and an item pool was formulated. Through two rounds of Delphi method expert consultations, the hierarchical analysis method was finally employed to determine the indicators and their weights at each level.Results:The effective recovery rates of the questionnaire of the two rounds of expert consultations were 100% (20/20), the authority coefficients of experts were 0.87 and 0.88, the coefficients of variation were 0.00 to 0.27 and 0.00 to 0.24. The Kendell harmony coefficients of the second and third indicators in the two rounds of inquiry were 0.140, 0.166 and 0.192, 0.161(all P<0.05). The final pediatric orthopedic nursing quality evaluation index system included 3 primary indicators, 21 secondary indicators and 83 tertiary indicators. Among the primary indicators, the weight of process quality was the highest at 0.493 4, followed by outcome quality at 0.310 8, and the lowest was structural quality at 0.195 8. In the secondary indicators, "assessment criteria of limb blood circulation" had the highest weight at 0.099 8. Conclusions:The constructed pediatric orthopedic nursing quality evaluation index system covers key aspects and is more operationally feasible. It provides better guidance for nursing interventions and quality control.

Tranexamic acid is widely used in joint orthopedic surgery.At the same time,it has high safety and few adverse drug reactions.It can effectively improve intraoperative bleeding and promote early functional recovery of patients.This article reviews the mode of administration,safe dose,administration time and adverse drug reactions of tranexamic acid in the perioperative period of joint replacement and arthroscopic surgery,in order to provide reference for the clinical application of tranexamic acid.

Objective To explore the effect of task-oriented training of intelligent mirror gloves combined with low-frequency repeti-tive transcranial magnetic stimulation(rTMS)on hand function recovery in stroke patients. Methods From October 1st,2022 to June 30th,2023,136 stroke patients in Northern Jiangsu People's Hospital were ran-domly divided into control group,mirror group,rTMS group and combination group,with 34 patients in each group.All the groups received routine rehabilitation treatment.In addition,the mirror group received task-orient-ed training of intelligent mirror gloves,rTMS group received low-frequency rTMS,and the combination group received task-oriented training combined with low-frequency rTMS,for four weeks.The Fugl-Meyer Assess-ment-Upper Extremities(FMA-UE)score,Wolf Motor Function Test(WMFT)score,and surface electromyo-graphic root mean square(RMS)of forearm extensor and flexor muscle groups on the affected/healthy side be-fore and after treatment were compared.And the differences of transcranial magnetic stimulation-motor-evoked potentials(MEP)between rTMS group and combination group before and after treatment were also compared. Results Four cases in the control group,seven in the mirror group,five in rTMS group and six in the combination group dropped off.The intra-group effect(F>996.656,P<0.001),inter-group effect(F>20.333,P<0.001)and inter-action effect(F>72.796,P<0.001)were significant in the scores of FMA-UE and WMFT,and the RMS ratio of forearm extensor and flexor muscle groups among four groups,in which the combination group was the best.After treatment,the amplitude of MEP increased in rTMS group and combination group(|t|>3.842,P<0.05),and was higher in the combination group than in rTMS group(t=-3.060,P<0.01). Conclusion The task-oriented training of intelligent mirror gloves combined with low-frequency rTMS could effectively promote the recovery of hand function in stroke patients.

In recent years, nucleic acid therapy, as a revolutionary therapeutic tool, has shown great potential in the treatment of genetic diseases, infectious diseases and cancer. Lipid nanoparticles (LNPs) are currently the most advanced mRNA delivery carriers, and their emergence is an important reason for the rapid approval and use of COVID-19 mRNA vaccines and the development of mRNA therapy. Currently, mRNA therapeutics using LNP as a carrier have been widely used in protein replacement therapy, vaccines and gene editing. Conventional LNP is composed of four components: ionizable lipids, phospholipids, cholesterol, and polyethylene glycol (PEG) lipids, which can effectively load mRNA to improve the stability of mRNA and promote the delivery of mRNA to the cytoplasm. However, in the face of the complexity and diversity of clinical diseases, the structure, properties and functions of existing LNPs are too homogeneous, and the lack of targeted delivery capability may result in the risk of off-targeting. LNPs are flexibly designed and structurally stable vectors, and the adjustment of the types or proportions of their components can give them additional functions without affecting the ability of LNPs to deliver mRNAs. For example, by replacing and optimizing the basic components of LNP, introducing a fifth component, and modifying its surface, LNP can be made to have more precise targeting ability to reduce the side effects caused by treatment, or be given additional functions to synergistically enhance the efficacy of mRNA therapy to respond to the clinical demand for nucleic acid therapy. It is also possible to further improve the efficiency of LNP delivery of mRNA through machine learning-assisted LNP iteration. This review can provide a reference method for the rational design of engineered lipid nanoparticles delivering mRNA to treat diseases.

Rare diseases still lack effective treatments, and the development of drugs for rare diseases (known as orphan drugs) is an urgent medical problem. As natural active ingredients in living organisms, some biomacromolecule drugs have good biocompatibility, low immunogenicity, and high targeting. They have become one of the most promising fields in drug research and development in the 21st century. However, there are still many obstacles in terms of in vivo delivery. In view of the unique advantages of nanocarriers prepared from polymers, lipids, organic biomimetic and inorganic materials in drug delivery, researchers are committed to building an efficient delivery system with versatility and synergy to solve the bottleneck issues in treating rare diseases with biomacromolecule drugs. Therefore, this article reviews the research progress of nanocarrier delivering proteins, peptides and nucleic acids in the field of rare disease treatment in the past ten years, which provides ideas for researches on biomacromolecule drug nanosystems in the field of treatment of rare diseases.

In the past few decades,supercritical fluid chromatography(SFC)as a supplement to liquid chromatography(LC)separation technology has attracted people's interest,especially in the combination of SFC and mass spectrometry(MS),which has shown important application prospects in metabolomics,lipidomics,and other fields.Compared to the interface of LC-MS,the interface of SFC-MS presents some unique challenges that require special solutions to be designed.This article categorizes and summarizes the existing interfaces used for SFC-MS,focuses on the impact of different interface designs on detection performance,provides the applicable characteristics of different types of interfaces,and finally briefly introduces the application progress of SFC-MS in different fields.

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 explore root cause of poor prognosis after successful endovascular treatment(EVT)in patients with acute ischemic stroke with large vascular occlusion(AIS-LVO)of anterior circulation.Methods Patients with AIS-LOV of anterior circulation who received successful EVT(postoperative modified thrombolysis incerebral infarction[mTICI]grade≥2b)were retrospectively and continuously collected in the Department of Neurology of Bozhou People's Hospital from January 2022 to March 2024.The baseline and clinical data of the patients were collected,including gender,age,vascular risk factors(hypertension,diabetes,coronary heart disease,hyperlipidemia,valvular heart disease,atrial fibrillation,smoking,and alcohol consumption),prior stroke or transient ischemic attack,baseline blood pressure,baseline National Institutes of Health Stroke scale(NIHSS)score,laboratory test indicators(pre-operative C-reactive protein and D-dimer,post-operative fasting blood glucose,lipid levels,homocysteine,etc).Meanwhile,the data of perioperative indicators was collected,including the time from onset to admission,the time from admission to puncture,the time from puncture to revascularization,the time from onset to puncture,the time from onset to revascularization,remedial measures(balloon dilation,stent placement,arterial thrombolysis)during the surgery or not,using tirofiban or not,postoperative complications(stroke-related pneumonia,stress ulcers,deep vein thrombosis,acute heart failure or renal failure,etc)or not.The patient's medical history and imaging data were collected,and these indicators were defined and collected,including Alberta stroke program early CT score(ASPECTS),location of occlusion(C1 segment of the internal carotid artery,C2 segment to C7 segment of the internal carotid artery,M1 segment of the middle cerebral artery),and the trial of org 10172 in acute stroke treatment(TOAST)classification and a postoperative transformation of cerebral infarction after ischemic stroke and symptomatic intracranial hemorrhage or not.According to the modified Rankin scale(mRS)score at 90 d after surgery,all patients were divided into poor prognosis group(mRS score≥ 3)and good prognosis group(mRS score≤2).The baseline and clinical data of two groups were compared using univariate analysis.Variables with P＜0.1 in the univariate analysis were selected as independent variables,and the poor prognosis was used as the dependent variable.Further,multivariate Logistic regression analysis was performed to identify the influencing factors of poor prognosis after EVT.Results Finally,a total of 192 patients with AIS-LVO of anterior circulation who received successful revascularization were included in this study.There were 101 male patients and 91 female patients.The poor prognosis group had 102 cases and the good prognosis group had 90 cases.Univariate analysis showed that the poor prognosis group had statistically significant differences with the good prognosis group in terms of age(Z=-3.088,P=0.002)and age distribution(x2=13.457,P=0.001),fasting blood glucose(Z=-3.347,P=0.001),baseline NIHSS score(Z=-4.469,P＜0.01),location of occlusion(x2=10.488,P=0.005),transformation of hemorrhage after ischemic stroke(x2=16.943,P＜0.01),and symptomatic intracranial hemorrhage(X2=25.449,P＜0.01),and the baseline ASPECTS of the poor prognosis group was significantly lower than that of the good prognosis group(Z=-4.547,P＜0.01).There were no significant differences in other baseline and clinical data(all P＞0.05).Further multivariate Logistic regression analysis showed that age＞80 years(OR,3.224,95％CI 1.033-10.058,P=0.044),baseline NIHSS score(OR,1.102,95％CI 1.013-1.199,P=0.023),baseline ASPECTS(OR,0.375,95％CI 0.212-0.665,P=0.001),and symptomatic intracranial hemorrhage(OR,7.127,95％CI 1.296-39.203,P=0.024)were independent influencing factors of poor prognosis.Conclusion The independent factors of 90 d poor prognosis after successful EVT in patients with AIS-LVO of anterior circulation are age＞80 years,baseline NIHSS score,baseline ASPECTS,and symptomatic intracranial hemorrhage.

This study was aimed at creating an engineered strain of Bacillus subtilis for efficient expression of biologically active type 2 toxin B(TcdB2)derived from a highly virulent strain of Clostridium difficile.The TcdB2 gene was cloned from ST1/RT027 strain genome DNA,incorporated into the PHT01 vector,and then transformed into B.subtilis strain WB800N for prokaryotic expression.Cell toxicity assays revealed that the recombinant TcdB2 exhibited cytotoxic effects in various cells.The engineered B.subtilis strain effectively expressed biologically active TcdB2,thus providing a basis for further exploration of the pathogenic mechanisms of highly virulent strains of C.difficile and establishing a foundation for potential vaccine can-didate targets.

Purpose::To identify the risk factors for training-related lower extremity muscle injuries in young males by a non-invasive method of body composition analysis.Methods::A total of 282 healthy young male volunteers aged 18 -20 years participated in this cohort study. Injury location, degree, and injury rate were adjusted by a questionnaire based on the overuse injury assessment methods used in epidemiological studies of sports injuries. The occurrence of training injuries is monitored and diagnosed by physicians and treated accordingly. The body composition was measured using the BodyStat QuadScan 4000 multifrequency Bio-impedance system at 5, 50, 100 and 200 kHz to obtain 4 impedance values. The Shapiro-Wilk test was used to check whether the data conformed to a normal distribution. Data of normal distribution were shown as mean ± SD and analyzed by t-test, while those of non-normal distribution were shown as median (Q 1, Q 3) and analyzed by Wilcoxon rank sum test. The receiver operator characteristic curve and logistic regression analysis were performed to investigate risk factors for developing training-related lower extremity injuries and accuracy. Results::Among the 282 subjects, 78 (27.7%) developed training injuries. Lower extremity training injuries revealed the highest incidence, accounting for 23.4% (66 cases). These patients showed higher percentages of lean body mass ( p = 0.001), total body water (TBW, p=0.006), extracellular water ( p=0.020) and intracellular water ( p=0.010) as well as a larger ratio of basal metabolic rate/total weight ( p=0.006), compared with those without lower extremity muscle injuries. On the contrary, the percentage of body fat ( p=0.001) and body fat mass index ( p=0.002) were lower. Logistic regression analysis showed that TBW percentage > 65.35% ( p=0.050, odds ratio =3.114) and 3rd space water > 0.95% ( p=0.045, odds ratio =2.342) were independent risk factors for lower extremity muscle injuries. Conclusion::TBW percentage and 3rd space water measured with bio-impedance method are potential risk factors for predicting the incidence of lower extremity muscle injuries in young males following training.