1.Comparison of small-sample multi-class machine learning models for plasma concentration prediction of valproic acid
Xi CHEN ; Shen’ao YUAN ; Hailing YUAN ; Jie ZHAO ; Peng CHEN ; Chunyan TIAN ; Yi SU ; Yunsong ZHANG ; Yu ZHANG
China Pharmacy 2025;36(11):1399-1404
OBJECTIVE To construct three-class (insufficient, normal, excessive) and two-class (insufficient, normal) models for predicting plasma concentration of valproic acid (VPA), and compare the performance of these two models, with the aim of providing a reference for formulating clinical medication strategies. METHODS The clinical data of 480 patients who received VPA treatment and underwent blood concentration test at the Xi’an International Medical Center Hospital were collected from November 2022 to September 2024 (a total of 695 sets of data). In this study, predictive models were constructed for target variables of three-class and two-class models. Feature ranking and selection were carried out using XGBoost scores. Twelve different machine learning algorithms were used for training and validation, and the performance of the models was evaluated using three indexes: accuracy, F1 score, and the area under the working characteristic curve of the subject (AUC). RESULTS XGBoost feature importance scores revealed that in the three-class model, the importance ranking of kidney disease and electrolyte disorders was higher. However, in the two-class model, the importance ranking of these features significantly decreased, suggesting a close association with the excessive blood concentration of VPA. In the three-class model, Random Forest method performed best, with F1 score of 0.704 0 and AUC of 0.519 3 on the test set; while in the two-class model, CatBoost method performed optimally, with F1 score of 0.785 7 and AUC of 0.819 5 on the test set. CONCLUSIONS The constructed three-class model has the ability to predict excessive VPA blood concentration, but its prediction and model generalization abilities are poor; the constructed two-class model can only perform classification prediction for insufficient and normal blood concentration cases, but its model performance is stronger.
2.Prognostic value of ultrasound carotid plaque length in patients with coronary artery disease.
Wendong TANG ; Zhichao XU ; Tingfang ZHU ; Yawei YANG ; Jian NA ; Wei ZHANG ; Liang CHEN ; Zongjun LIU ; Ming FAN ; Zhifu GUO ; Xianxian ZHAO ; Yuan BAI ; Bili ZHANG ; Hailing ZHANG ; Pan LI
Chinese Medical Journal 2025;138(14):1755-1757
3.Formulation of Emergency Response Plan for Laboratory Animal Biosafety Emergencies in Hunan Province
Meitong LIU ; Zhang CHEN ; Zhaoqiang ZHANG ; Di FAN ; Zhan HU ; Hailing MA
Laboratory Animal and Comparative Medicine 2024;44(3):328-334
The emergency management of biosafety for laboratory animals in Hunan Province is an essential component of the province's implementation of the national biosafety strategy.To strengthen the prevention and control of biosafety risks in laboratory animals and to ensure a quick and effective response to laboratory animal biosafety emergencies,Hunan Province has formulated the"Emergency Response Plan for Laboratory Animal Biosafety Emergencies in Hunan Province".This plan aims to minimize damages caused to practitioners,public health,and laboratory animal industry,protect lives and property,and safeguard public safety and social stability.This paper analyzes the necessity,guiding ideology,principles,and basis for formulating the plan.It details the main contents of the plan,which includes scope of application,incident classification,organizational structure and responsibilities,monitoring and early warning mechanisms,emergency reporting and response,post-incident assessment,and safeguard measures.Moreover,this paper provides a summary and outlook on the emergency management of biosafety laboratory animals in Hunan Province in recent years.
4.Investigation on Current Biosafety Management Status in Laboratory Animal Institutions in Hunan Province
Meitong LIU ; Zhang CHEN ; Zhaoqiang ZHANG ; Di FAN ; Zhan HU ; Hailing MA
Laboratory Animal and Comparative Medicine 2024;44(2):202-208
ObjectiveThis study aimed to investigate the current status of biosafety management in laboratory animal institutions in Hunan Province, identify management shortcomings, and provide targeted recommendations for improvement. MethodsA questionnaire survey was conducted in July 2023 among 40 laboratory animal institutions in Hunan Province, covering topics such as the establishment of laboratory management system and its overall operation status, emergency management for incidents, medical waste disposal, animal transportation, personnel practitioner management, environmental disinfection, and equipment maintenance. The awareness of biosafety, animal bite incidents, and vaccination history was surveyed from at least one animal feeder or experimental operation practitioner from each institution, totaling 50 practitioners. Through literature review and comparative analysis, this paper analyzed the current status of biosafety management in production, transportation, and use of laboratory animals in Hunan Province from aspects such as biosafety management systems, personnel training, disinfection of environmental facilities and waste disposal, and provided recommendations. ResultsAmong the 40 laboratory animal institutions in Hunan Province,39 institutions (97.5%) had established laboratory management systems, 37 (92.5%) had emergency response plans for incidents of to transport laboratory animals, 15 (37.5%) had complete records of emergency drills for laboratory animal biosafety, and 39 (97.5%) had established protocols for carcass and waste management. Moreover, 26 institutions (65.0%) had laboratory biosafety risk assessment reports. 4 out of 8 (50.0%) production units had emergency plans for animal transportation, with 7 (87.5%) using special vehicles to transport laboratory animals. 2 (4.0%) of the 50 practitioners were unaware of emergency response plans, 6 participants (12.0%) did not consistently wear personal protective equipment, and 38 participants (76.0%) had been bitten or scratched by laboratory animals. The results of the survey showed that emergency management, transportation management and personnel management of laboratory animal incidents still need improvement in Hunan Province. Relevant functional departments should strengthen supervision and management efforts, establish local regulations for the transportation management of laboratory animals, ensure strict compliance with relevant documents, conduct emergency drills in all units, and strengthen training for practitioners. ConclusionWhile daily management practices in the 40 laboratory animal institutions in Hunan Province are generally satisfactory, there remains a need for further improvement in emergency management, transportation management, personnel management, etc. Gradually enhancing the level of laboratory animal safety management is essential to collectively safeguard public health safety.
5.Deep neural networks analysis of 18F-FDG PET imaging in postoperative patients with temporal lobe epilepsy
Huanhua WU ; Shaobo CHEN ; Jingjie SHANG ; Hailing ZHOU ; Biao WU ; Jian GONG ; Xueying LING ; Qiang GUO ; Hao XU
Chinese Journal of Nuclear Medicine and Molecular Imaging 2024;44(4):220-224
Objective:To predict the short-term postoperative recurrence status of patients with refractory temporal lobe epilepsy (TLE) by analyzing preoperative 18F-FDG PET images and patients′ clinical characteristics based on deep residual neural network (ResNet). Methods:Retrospective analysis was conducted on preoperative 18F-FDG PET images and clinical data of 220 patients with refractory TLE (132 males and 88 females, age 23.0(20.0, 30.2) years)) in the First Affiliated Hospital of Jinan University between January 2014 and June 2020. ResNet was used to perform high-throughput feature extraction on preprocessed PET images and clinical features, and to perform a postoperative recurrence prediction task for differentiating patients with TLE. The predictive performance of ResNet model was evaluated by ROC curve analysis, and the AUC was compared with that of classical Cox proportional risk model using Delong test. Results:Based on PET images combined with clinical feature training, AUCs of the ResNet in predicting 12-, 24-, and 36-month postoperative recurrence were 0.895±0.073, 0.861±0.058 and 0.754±0.111, respectively, which were 0.717±0.093, 0.697±0.081 and 0.645±0.087 for Cox proportional hazards model respectively ( z values: -3.00, -2.98, -1.09, P values: 0.011, 0.018, 0.310). The ResNet showed best predictive effect for recurrence events within 12 months after surgery. Conclusion:The ResNet model is expected to be used in clinical practice for postoperative follow-up of patients with TLE, helping for risk stratification and individualized management of postoperative patients.
6.Clinical features of antineutrophil cytoplasmic antibody-associated vasculitis with peripheral neuropathy as the initial symptom
Yuqin ZHANG ; Hailing TONG ; Chen HOU
Journal of Clinical Neurology 2024;37(3):197-200
Objective To investigate the clinical characteristics of antineutrophil cytoplasmic antibody(ANCA)-associated vasculitis(AAV)with peripheral neuropathy as the initial symptom and to enhance the understanding of the disease.Methods The clinical data of 6 patients of AAV with peripheral neuropathy as the initial symptom at Xiangya Hospital of Central South University from 2017 to 2021 were collected.Results All 6 cases were middle-aged or elderly males,and the initial symptoms mainly consisted of limb numbness,pain,and weakness.In addition to neurological involvement,some patients had upper respiratory tract,lungs,kidneys,eyes,ears,skin and joints involved.Electromyography showed multiple peripheral nerve damage;Five patients were positive for pANCA and MPO,and one patient was positive for cANCA and PR3.Six patients were all treated with glucocorticoid and cyclophosphamide,and the clinical symptoms and laboratory indexes were improved to different degrees.Conclusions There were no characteristic symptoms in AAV with peripheral neuropathy as the first symptom.Early diagnosis and treatment of AAV can improve the quality of life and prognosis of patients.
7.Associations of metabolic score for insulin resistance with chronic kidney disease and albuminuria in the Chinese population
Hailing LIN ; Shanhu QIU ; Hao HU ; Yu LIU ; Juan CHEN ; Tingting LI ; Jianing LIU ; Yang YUAN ; Zilin SUN
Chinese Journal of Internal Medicine 2023;62(3):281-289
Objective:To explore the relationship between metabolic score for insulin resistance (METS-IR) and chronic kidney disease (CKD) and albuminuria in the Chinese population.Methods:This cross-sectional study was conducted from January to December 2018 among residents aged 20 to 70 years in ten regions of eight provinces in China; all residents had lived in their region for more than 5 years. Various parameters were measured, included fasting blood glucose, 2-hour postprandial blood glucose, glycosylated hemoglobin (HbA 1c), blood lipids, renal function, urinary albumin/creatinine ratio (UACR), etc. Data of 5 060 subjects meeting the criteria were included in the study. CKD was defined as estimated glomerular filtration rate (eGFR)<60 ml·min -1·1.73 m -2 or UACR≥30 mg/g. Albuminuria was defined as UACR≥30 mg/g. METS-IR was calculated and categorized into quartiles: Q1, METS-IR≤32.19; Q2, METS-IR 32.20-37.10; Q3, METS-IR 37.11-42.58; and Q4, METS-IR>42.58. The correlation between METS-IR and CKD and albuminuria was analyzed by binary logistic regression, and subgroup analyses were performed. Results:There were 1 266, 1 266, 1 265, and 1 263 participants included in Q1-Q4 groups, respectively. With the increase of METS-IR quartile, various parameters increased, including age, fasting blood glucose, HbA 1c, triglycerides, serum uric acid, waist circumference, body mass index, and systolic and diastolic blood pressure, and the proportion of males also increased (all P<0.05). The proportion of patients with CKD and albuminuria increased significantly with the increase in interquartile range (Q) of METS-IR (all P<0.05). Logistic regression analysis showed that for every 1-unit increment of METS-IR, the risk of CKD and albuminuria were both increased by 2% [for both: odds ratio ( OR)=1.02, 95% confidence interval ( CI) 1.01-1.03]. Compared with the lowest METS-IR group (Q1), the ORs for CKD and albuminuria in the highest METS-IR group (Q4) were 1.57 (95% CI 1.17-2.10) and 1.46 (95% CI 1.09-1.96), respectively. In the subgroup analyses, increased METS-IR was significantly associated with CKD and albuminuria among women (CKD: OR=1.62, 95% CI 1.14-2.31; albuminuria: OR=1.53, 95% CI 1.07-2.18), individuals with HbA 1c<7% ( OR=1.64, 95% CI 1.21-2.23; OR=1.55, 95% CI 1.14-2.11), individuals with eGFR≥90 ml·min -1·1.73 m -2 ( OR=1.78, 95% CI 1.27-2.49; OR=1.80, 95% CI 1.28-2.53), and the Chinese Han population ( OR=1.56, 95% CI 1.13-2.17; OR=1.41, 95% CI 1.01-1.96). Conclusions:METS-IR is significantly associated with CKD and albuminuria in a Chinese population. Furthermore, the higher the METS-IR, the higher the risk of CKD and albuminuria.
8.Preliminary application of recombinase -aided amplification in detection of Clonorchis sinensis metacercariae in freshwater fish.
J CHEN ; Z WANG ; W HUANG ; J WANG ; L CHEN ; Y SUN ; L ZHAO ; Y ZHAO ; Y QIAN ; J DUAN ; Q ZHANG
Chinese Journal of Schistosomiasis Control 2023;35(5):458-463
OBJECTIVE:
To evaluate the performance of recombinase-aided amplification (RAA) assay in detection of Clonorchis sinensis metacercariae in freshwater fish samples, so as to provide insights into standardization and field application of this assay.
METHODS:
Wild freshwater fish samples were collected in the rivers of administrative villages where C. sinensis-infected residents lived in Jiangyan District, Xinghua County and Taixing County of Taizhou City, Jiangsu Province from June to September 2022. Genomic DNA was extracted from six freshwater fish specimens (5 g each) containing 0, 1, 2, 4, 8 and 16 C. sinensis metacercariae for fluorescent RAA assay, and the diagnostic sensitivity was evaluated. Fluorescent RAA assay was performed with genomic DNA from C. sinensis, Metorchis orientalis, Haplorchis pumilio and Centrocestus formosanus metacercariae as templates to evaluate its cross-reactions. In addition, the detection of fluorescent RAA assay and direct compression method for C. sinensis metacercariae was compared in field-collected freshwater fish samples.
RESULTS:
Positive amplification was found in fresh-water fish specimens containing different numbers of C. sinensis metacercariae, and fluorescent RAA assay was effective to detect one C. sinensis metacercaria in 5 g freshwater fish specimens within 20 min. Fluorescent RAA assay tested negative for DNA from M. orientalis, H. pumilio and C. formosanus metacercariae. Fluorescent RAA assay and direct compression method showed 5.36% (93/1 735) and 2.88% (50/1 735) detection rates for C. sinensis metacercariae in 1 735 field-collected freshwater fish samples, with a statistically significant difference seen (χ2 = 478.150, P < 0.001). There was a significant difference in the detection of C. sinensis metacercariae in different species of freshwater fish by both the direct compression method (χ2 = 11.20, P < 0.05) and fluorescent RAA assay (χ2 = 20.26, P < 0.001), and the detection of C. sinensis metacercariae was higher in Pseudorasbora parva than in other fish species by both the direct compression method and fluorescent RAA assay (both P values < 0.05).
CONCLUSIONS
Fluorescent RAA assay has a high sensitivity for detection of C. sinensis metacercariae in freshwater fish samples, and has no cross-reactions with M. orientalis, H. pumilio or C. formosanus metacercariae. Fluorescent RAA assay shows a higher accuracy for detection of C. sinensis infections in field-collected freshwater fish than the direct compression method.
Animals
;
Clonorchis sinensis/genetics*
;
Metacercariae/genetics*
;
Recombinases
;
Fresh Water
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Fishes
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DNA
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Fish Diseases/diagnosis*
9.Research progress on radiation-induced cardiac injury in breast cancer and its preventive measures
Churan FENG ; Jianzhao CAO ; Ziyin CHEN ; Daxin ZHANG ; Hailing LU
Practical Oncology Journal 2023;37(6):513-518
Radiotherapy is an effective way to reduce the local recurrence rate and mortality of breast cancer.However,the risk of long-term side effects of radiation-induced cardiac injury cannot be ignored.Especially for patients undergoing left breast ra-diation therapy,the risk of cardiac injury is higher due to the heart being within the radiation field,which increases the incidence of radiation induced heart disease and ultimately affects long-term survival rate and quality of life.Therefore,it is particularly important to prevent radiation induced cardiac injury.The main measures include using advanced radiation therapy techniques such as intensity modulated radiation therapy,volume modulated arc radiotherapy,deep inhalation and breath holding radiation therapy,prone position radiation therapy,proton beam therapy,etc.or optimizing the radiotherapy plan for cardiac substructure to reduce the radiation dose to key cardiac structures.This article will review the research progress of pathophysiological mechanism,clinical manifestations,risk fac-tors and preventive measures of radiation-induced cardiac injury in breast cancer.
10.The value of lncRNA JPX in diagnosis and prognosis of mesothelioma
Mingying JIN ; Wei SHEN ; Junfei CHEN ; Lingfang FENG ; Shibo YING ; Hailing XIA ; Junqiang CHEN ; Yiqiu CHEN ; Zhaoqiang JIANG ; Jianlin LOU
Journal of Preventive Medicine 2023;35(3):235-238
Objective :
To examine the diagnostic and prognostic value of long non-coding RNA (lncRNA) JPX in mesothelioma, so as to provide insights into diagnosis and prognosis of mesothelioma.
Methods:
Patients with clinically definitive diagnosis of mesothelioma from 2015 to 2019 that were sampled from asbestos processing plants in Zhejiang Province from 2015 to 2019 were recruited in the mesothelioma group, while healthy residents without asbestos exposure or asbestos-related diseases in the same area served as controls. Participants' demographics, pathologic diagnosis and imaging features were collected, and the expression of blood lncRNA JPX was detected using lncRNA microarrays. The diagnostic value of lncRNA JPX for mesothelioma was evaluated using the receiver operating characteristic (ROC) curve, and the correlation between lncRNA JPX expression and prognosis was examined among mesothelioma patients using survival analysis.
Results:
There were 17 subjects in the mesothelioma group, with a mean age of (65.71±8.36) years, and 34 subjects in the controls, with a mean age of (64.24±8.70) years. LncRNA microarray detected significantly high lncRNA JPX expression in mesothelioma patients, and higher blood lncRNA JPX expression was detected in the mesothelioma group than in the control group [median (interquartile range), 1.10 (1.31) vs. 0.89 (0.54); t'=-2.300, P=0.034]. The area under the ROC curve was 0.673 (95%CI: 0.507-0.839, P=0.046), and if the cutoff was 1.759, the sensitivity and specificity were 35.3% and 100.0%, respectively. Survival analysis showed no significant difference in the survival rate of mesothelioma patients between the high lncRNA JPX expression group and the low expression group (χ2=0.212, P=0.645).
Conclusions
LncRNA JPX overexpression is detected in the blood of patients with mesothelioma, and lncRNA JPX expression presents a diagnostic value for mesothelioma; however, it shows little prognostic value for mesothelioma.


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