Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective To apply a COMSOL-based finite element analysis method to investigating the electric field effects produced by the human lower limb musculoskeletal system under the synergistic effects of stress field and electromagnetic field.Methods Firstly,a 3D human body model was constructed by Maxon Cinema 4D R21 software,and then imported into COMSOL 6.1 software in STL format.Secondly,an electromagnetic field intervention and stress loading model for the left lower limb of the human body was designed and constructed,in which 15 Hz quasi-pulse group current signals were used for electromagnetic field excitation and the stress field was realized by applying a vibration load with an average compressive force of about 90 N/cm2 to the left foot of the human body.Finally,the electromagnetic properties of human tissue were simulated by numerical simulation,and then the effects of stress field or elecromagnetic field or combined stress field and electromagnetic field on human bioelectric field were compared.Results Simulation results showed that the electric field intensity peaked at the leg joints under both electromagnetic and stress fields acting alone or synergistically,the bioelectric field intensity generated by the human body was related to the distance from the exogenous excitation loading location,and the electric field generated under synergistic action was equivalent to the linear superposition of the bioelectric field in the tissue induced by the electromagnetic field and the stress field acting alone.Conclusion Data supplement is provided for predicting bioelectric field changes within the musculoskeletal tissue,and theoretical foundation is laid for the development and application of multi-physics field synergistic intervention therapy for treating the disorders of the lower limb musculos-keletal system.[Chinese Medical Equipment Journal,2024,45(9):21-26]

Objective: To understand the current situation regarding pediatric off-label use of drugs recommendations in Chinese clinical practice guidelines and to make recommendations for standardized reporting format regarding off-label use of drugs for children. Methods: This cross-sectional study was carried out by systematically searching the databases for Chinese guideline consensus articles published in journals between 2018 and 2020 and extracting recommendations regarding off-label use of drugs from those articles. The essential characteristics of the included guidelines, the ranking of off-label drug types, the order of drug information, the type of off-label drug use, and the percentage of citation studies on which the recommendations were based were analyzed. Results: Among 108 studies that included Chinese off-label guidelines and consensus, 364 recommendations on pediatric off-label use of drugs were included. The Chinese Medical Association published the most, 48 out of the 108 studies (44.4%), and of those 14 studies (13.0%) were on infectious and parasitic diseases. Of the 364 recommendations on off-label use of drugs, the most commonly addressed drugs were 16 recommendations (4.4%) for cyclosporine A, 11 recommendations (3.0%) for methotrexate , and 11 recommendations (3.0%) for fentanyl. The most commonly addressed drug categories were as follows: 68 recommendations (18.6%) were immune system drugs, 66 recommendations (18.1%) were anti-infectives, and 56 recommendations (15.4%) were oncology drugs. The most commonly addressed drug information accounts were as follows: 364 recommendations (100.0%) were indications, 204 recommendations (56.0%) were dosages, and 198 recommendations (54.4%) were the route of administration. Based on the instructions approved by the Chinese Food and Drug Administration, the main forms of the off-label drug were as follows: 175 recommendations (48.1%) were unapproved indications, 127 recommendations (34.9%) were unapproved populations, and 72 recommendations (19.8%) were unapproved ages. Only 129 recommendations (35.4%) were cited, mainly including clinical guidelines (48 studies, 23.4%), reviews (22 studies, 10.7%), and pediatric randomized controlled trials (22 studies, 10.7%). Conclusions: Off-label use of drugs is commonly recommended in pediatric guidelines and consensus documents written by Chinese authors. However, the reporting of the recommendations varies widely, and the quality of the supporting evidence is poor.
Child ; China ; Consensus ; Cross-Sectional Studies ; Humans ; Off-Label Use ; Pharmaceutical Preparations

Transparency Ecosystem for Research and Journals in Medicine (TERM) working group summarized the essential recommendations that should be considered to review and publish a high-quality guideline. These recommendations from editors and reviewers included 10 components of essential requirements: systematic review of existing relevant guidelines, guideline registration, guideline protocol, stakeholders, conflicts of interest, clinical questions, systematic reviews, recommendation consensus, guideline reporting and external review. TERM working group abbreviates them as PAGE (essential requirements for Publishing clinical prActice GuidelinEs), and recommends guideline authors, editors, and peer reviewers to use them for high-quality guidelines.
Humans ; Practice Guidelines as Topic

Applying Chinese medicine (CM) is an important strategy for malignant tumor treatment in China. One of the significant characteristics of CM is to treat diseases based on syndrome differentiation. For Western medicine, it is of important clinical significance to formulate guidelines for the diagnosis and treatment of cancer patients based on the characteristics of disease differentiation. In Chinese clinical practice, the combination of disease differentiation and syndrome differentiation is an important feature for cancer treatment in the past. Currently, molecular profiling and genomic analysis-based precision medicine optimizes the anticancer drug design and holds the greatest success in treating cancer patients. Therefore, we want to know which populations of cancer patients can benefit more from CM treatment if the theory of precision medicine is applied to CM clinical practice. So, we developed a novel diagnostic and therapeutic strategy "disease-syndrome differentiation-genomic profiling-prescriptions" for cancer patients by CM syndrome differentiation and precision medicine. As a result, this strategy has greatly enhanced the anti-tumor efficacy of CM and improved clinical outcomes for cancer patients with some gene mutations. Our idea will hopefully establish a novel approach for the inheritance and innovation of CM.
Antineoplastic Agents ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Medicine, Chinese Traditional ; Neoplasms/therapy* ; Precision Medicine ; Syndrome

OBJECTIVE: To study the association of different stages of histological chorioamnionitis (HCA) with the incidence rate and severity of respiratory distress syndrome (RDS) in preterm infants. METHODS: Related data were collected from the infants and their mothers who were treated in the Neonatal Intensive Care Unit of Qingdao Women and Children's Hospital, Qingdao University, from January 2018 to June 2020. According to the presence or absence of HCA and its stage, the infants were divided into four groups: control ( RESULTS: Compared with the control and late-stage HCA groups, the early-stage HCA group had a significantly lower incidence rate of placental abruption and a significantly higher rate of prenatal use of antibiotics ( CONCLUSIONS Early-, middle-, and late-stage HCA can reduce the incidence rate of RDS in preterm infants. HCA stage may not be correlated with RDS severity in preterm infants, which needs to be verified by further research.
Birth Weight ; Child ; Chorioamnionitis/epidemiology* ; Female ; Gestational Age ; Humans ; Infant ; Infant, Newborn ; Infant, Premature ; Pregnancy ; Respiratory Distress Syndrome, Newborn/etiology*

Objective To evaluate the clinical efficacy and safety of memantine combined with olanzapine in treating Alzheimer's disease patients with behavioral and psychological symptoms of dementia (BPSD).Methods One hundred and seventy-six cases of Alzheimer's disease with BPSD were randomly divided into treatment group (n =87) and control group (n =89).The control group received oral administration of memantine 5-20 mg qd.The treatment group was given oral administration of olanzapine 2.5-10 mg qn on the basis of control group.The treatment course was two weeks.Both groups were treated for 6 courses.Clinical efficacy,neuropsychiatric inventory scale (NPI),activities of daily living (ADL) score,and the incidence of adverse drug reactions were compared between the two groups.Results After treatment,the total efficiency of the treatment group and the control group were 90.70％ (78/86 cases)and 75.29％ (64/85 cases) respectively,and the statistically significant difference was shown between the two groups (P＜0.01).Before treatment and at week 2,4,8,12,NPI-1 in the treatment group and were(25.18 ±4.17) (23.02 ± 3.98),(20.51 ± 3.65),(17.85 ± 3.08),(16.56 ± 2.95);NPI-2 were (46.86 ± 4.65) (45.78 ± 4.62),(43.53 ± 4.24),(40.53 ± 4.31),(38.91 ± 4.27);ADL were (44.34 ± 4.59),(44.25 ± 4.53) (42.85 ±4.01),(40.30 ± 3.98),(39.21 ± 3.48).NPI-1 in the control group were(25.27 ±4.23) (24.67 ±4.12),(23.68 ± 3.98),(21.36 ± 3.57),(19.92 ± 3.24);NPI-2 were (46.56 ± 4.72) (46.31 ± 4.51),(45.82 ± 4.42),(43.21 ± 4.37),(42.74 ± 4.33);ADL were (43.62 ± 4.61),(43.36 ± 4.49) (43.08 ±4.25),(42.18 ±4.31),(41.27 ±4.29).Statistical significant differences were found in NPI-1,NPI-2 and ADL between the two groups at week 2,4,8(P ＜0.01).The adverse drug reactions in the treatment group were hypersomnia,weight gain,dry mouth and constipation;and dizziness,sleeplessness,headache,nausea in the control group.The incidence of adverse drug reactions in treatment and control groups were 8.14％ (7/86 cases) and 7.06％ (6/85 cases),without statistically significant difference (P ＞ 0.05).Conclusion Memantine combined with olanzapine achieves better efficacy than memantine alone in treating patients with Alzheimer's disease and BPSD.

BACKGROUNDGlobally, the proportion of child deaths that occur in the neonatal period remains a high level of 37-41%. Differences of cause in neonate death exist in different regions as well as in different economic development countries. The specific aim of this study was to investigate the causes, characteristics, and differences of death in neonates during hospitalization in the tertiary Neonatal Intensive Care Unit (NICU) of China.

METHODSAll the dead neonates admitted to 26 NICUs were included between January l, 2011, and December 31, 2011. All the data were collected retrospectively from clinical records by a designed questionnaire. Data collected from each NICU were delivered to the leading institution where the results were analyzed.

RESULTSA total of 744 newborns died during the 1-year survey, accounting for 1.2% of all the neonates admitted to 26 NICUs and 37.6% of all the deaths in children under 5 years of age in these hospitals. Preterm neonate death accounted for 59.3% of all the death. The leading causes of death in preterm and term infants were pulmonary disease and infection, respectively. In early neonate period, pulmonary diseases (56.5%) occupied the largest proportion of preterm deaths while infection (27%) and neurologic diseases (22%) were the two main causes of term deaths. In late neonate period, infection was the leading cause of both preterm and term neonate deaths. About two-thirds of neonate death occurred after medical care withdrawal. Of the cases who might survive if receiving continuing treatment, parents' concern about the long-term outcomes was the main reason of medical care withdrawal.

CONCLUSIONSNeonate death still accounts for a high proportion of all the deaths in children under 5 years of age. Our study showed the majority of neonate death occurred in preterm infants. Cause of death varied with the age of death and gestational age. Accurate and prompt evaluation of the long-term outcomes should be carried out to guide the critical decision.

Cause of Death ; China ; Female ; Hospital Mortality ; Humans ; Infant ; Infant Mortality ; Infant, Newborn ; Infant, Newborn, Diseases ; mortality ; Intensive Care Units, Neonatal ; statistics & numerical data ; Male ; Perinatal Death ; Retrospective Studies