1.Analysis of gemcitabine adverse drug reactions and risk factors in Inner Mongolia
Shengnan YANG ; Wei SHI ; Yufang ZHAO ; Zhien LIU ; Wenpu LEI ; Yanan ZHANG ; Ke ZHAO ; Hao GUO
China Pharmacy 2025;36(4):486-490
OBJECTIVE To analyze the occurrence characteristics and risk factors of adverse drug reactions (ADR) of gemcitabine for injection in national centralized volume-based procurement (hereinafter referred to as “centralized procurement”), and provide reference for clinical safe drug use. METHODS A retrospective study was conducted to collect the relevant case reports of gemcitabine for injection reported to the National Adverse Drug Reaction Monitoring System by Inner Mongolia Autonomous Region from January 2022 to December 2023; basic information of patients, drug use status, patient outcomes, rational drug use and other information were collected, and the occurrence characteristics of ADRs with leukopenia, myelosuppression, neutropenia, thrombocytopenia and liver dysfunction were analyzed. Univariate analysis and multivariate Logistic regression were used to analyze the correlation of gender, age, combination of antitumor drugs, original malignant tumor and drug dose with ADR. RESULTS A total of 315 cases reports (315 patients) of gemcitabine-induced ADR were included in this study, with a male-to-female ratio of 1.42∶1 and age of (61.17±9.13) years. The primary malignant tumor was pancreatic cancer (73 cases, 23.17%). Leukopenia, myelosuppression and nausea were the most common ADR, followed by neutropenia, thrombocytopenia, liver dysfunction and so on. The severity grade of ADR was mainly 1-2, and the outcome of most ADR was good. Multivariate Logistic regression analysis showed that combination of antitumor drugs was a risk factor for myelosuppression and neutropenia (RR=2.154, 95%CI: 1.218- 3.807, P=0.008; RR=3.099, 95%CI: 1.240-7.744, P=0.016); gender (female) was a risk factor for leukopenia and liver dysfunction (RR=0.508, 95%CI: 0.302-0.853, P=0.010; RR=0.301, 95%CI: 0.102-0.887, P=0.029). In terms of drug use rationality, there were 143 cases (45.40%) of drug 126.com use in accordance with the indications of the label, and 172 cases (54.60%) of off-label drug use. Among them, the primary malignant tumors were bladder cancer, bile duct cancer and ovarian cancer, which ranked the top three off-label drug use. CONCLUSIONS The ADR caused by gemcitabine in Inner Mongolia is mainly in the blood and digestive systems. The severity of ADRs is mainly classified as 1-2 levels, and most ADRs have good outcomes. Gender (female) and combination medication are risk factors for gemcitabine-induced ADR. Appropriate chemotherapy regimen should be selected according to the patient’s condition and physical condition, and ADR monitoring in blood and digestive systems should be strengthened during medication of gemcitabine.
2.Establishment of a closed-loop management system for the whole-process traceability of outpatient drugs based on internet of things and blockchain technology
Yanjing MA ; Jun HANG ; Yanan WANG ; Wenting JIANG ; Aiming SHI ; Jie PAN ; Peng QIAO
China Pharmacy 2025;36(20):2502-2506
OBJECTIVE To establish a closed-loop management system for the whole-process traceability of outpatient drugs based on internet of things (IoT) and blockchain technology, and evaluate its implementation effects. METHODS A closed-loop management system for the whole-process traceability of outpatient drugs covering the entire drug lifecycle was designed using drug traceability codes integrated with IoT and blockchain technology. System effectiveness was evaluated from three dimensions: work efficiency, medication management quality and data safety by comparing indicators such as the acceptance time of incoming drugs and the number of collected drug traceability codes before the system implementation (October to December 2024) and after the system implementation (January to March 2025). RESULTS A closed-loop management system for the whole-process traceability of outpatient drugs, centered around the drug traceability code management system, was successfully established. The acceptance time for incoming drugs was shortened from (4.65±0.26) h before implementation to (0.34±0.08) h after implementation (P< 0.05). The number of collected drug traceability codes increased from 419 018 to 1 236 522, and the coverage rate of traceability codes rose from 28.36% to 89.88% (P<0.05). The time pharmacists spent on drug expiry management per week decreased from (128.40±19.20) min to (0.56±0.13) min (P<0.05), and the dispensing time for a single prescription (excluding a part of injections and repackaged drugs) was reduced from (143.25±17.67) s to (15.24±10.08) s (P<0.05). The time for drug return was reduced from 129.90 (122.32, 137.00) s to 104.36 (89.91, 117.33) s(P<0.05); the number of drug dispensing errors decreased from 2 cases to 0 cases. After the system was launched, there were no data security incidents in our outpatient pharmacy. CONCLUSIONS The constructed closed-loop management system for the whole-process traceability of outpatient drugs can significantly enhance drug traceability accuracy and drug management quality, improve pharmacist work efficiency, and reduce drug management risks, thus providing a feasible solution for the digital transformation of hospital pharmaceutical services.
3.Application of progressive exercise training based on mMRC grading in respiratory rehabilitation for patients with chronic obstructive pulmonary disease in a primary healthcare setting
Tingting GE ; Chengyue ZHU ; Yanan ZHANG ; Zixuan ZHENG ; Jiannan LI ; Junqing LI ; Zhijun JIE ; Jindong SHI ; Hanwei ZHAO
Chinese Journal of Clinical Medicine 2025;32(4):578-584
Objective To explore the efficacy of progressive exercise training based on the modified Medical Research Council dyspnea scale (mMRC) grading in respiratory rehabilitation for patients with chronic obstructive pulmonary disease (COPD) at a primary healthcare setting. Methods A total of 106 patients with COPD admitted to Zhuanqiao Community Health Service Center in Shanghai from Aug.1, 2022 to Jul. 30, 2024 were selected as research subjects. They were randomly divided into a study group and a control group in a 1∶1 ratio, with 53 patients in each group. The control group received conventional treatment, while the study group received conventional treatment combined with progressive exercise training. After 4 weeks of continuous treatment, the changes in the 6-minute walk test (6MWT), COPD assessment test (CAT) score, mMRC grading, Global Initiative for Chronic Obstructive Lung Disease (GOLD) grading and pulmonary function were compared between the two groups. Results Patients in both groups showed improvements in 6MWT distance, CAT score, mMRC grading, GOLD grading, and pulmonary function compared to baseline (P<0.05). Moreover, the study group had better improvements in 6MWT distance, CAT score, mMRC grading, GOLD grading, and pulmonary function than the control group (P<0.05). Conclusions Conventional treatment combined with progressive exercise training based on mMRC grading can enhance the effect of respiratory rehabilitation in patients with COPD, particularly in improving pulmonary function and exercise tolerance.
4.Role of artificial intelligence in medical image analysis.
Lu WANG ; Shimin ZHANG ; Nan XU ; Qianqian HE ; Yuming ZHU ; Zhihui CHANG ; Yanan WU ; Huihan WANG ; Shouliang QI ; Lina ZHANG ; Yu SHI ; Xiujuan QU ; Xin ZHOU ; Jiangdian SONG
Chinese Medical Journal 2025;138(22):2879-2894
With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence
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Humans
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Image Processing, Computer-Assisted/methods*
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Neural Networks, Computer
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Deep Learning
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Diagnostic Imaging/methods*
5.Expert consensus on the application of nasal cavity filling substances in nasal surgery patients(2025, Shanghai).
Keqing ZHAO ; Shaoqing YU ; Hongquan WEI ; Chenjie YU ; Guangke WANG ; Shijie QIU ; Yanjun WANG ; Hongtao ZHEN ; Yucheng YANG ; Yurong GU ; Tao GUO ; Feng LIU ; Meiping LU ; Bin SUN ; Yanli YANG ; Yuzhu WAN ; Cuida MENG ; Yanan SUN ; Yi ZHAO ; Qun LI ; An LI ; Luo BA ; Linli TIAN ; Guodong YU ; Xin FENG ; Wen LIU ; Yongtuan LI ; Jian WU ; De HUAI ; Dongsheng GU ; Hanqiang LU ; Xinyi SHI ; Huiping YE ; Yan JIANG ; Weitian ZHANG ; Yu XU ; Zhenxiao HUANG ; Huabin LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(4):285-291
This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans
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Nasal Cavity/surgery*
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Nasal Surgical Procedures
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China
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Consensus
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Sinusitis/surgery*
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Dermal Fillers
6.Gallstones, cholecystectomy, and cancer risk: an observational and Mendelian randomization study.
Yuanyue ZHU ; Linhui SHEN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Jieli LU ; Min XU ; Yufang BI ; Weiguo HU
Frontiers of Medicine 2025;19(1):79-89
This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans
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Mendelian Randomization Analysis
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Gallstones/complications*
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Female
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Male
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Cholecystectomy/statistics & numerical data*
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Middle Aged
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Risk Factors
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Aged
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Adult
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Neoplasms/etiology*
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Stomach Neoplasms/epidemiology*
7.A two-sample Mendelian randomization study on the association between temporomandibular disorder and insomnia.
Wei YUAN ; Yiming CHENG ; Yunyi CUI ; Duoduo GAO
West China Journal of Stomatology 2025;43(3):354-361
OBJECTIVES:
This study aimed to investigate the association between temporomandibular disorder (TMD) and insomnia using a two-sample Mendelian randomization (MR) approach.
METHODS:
Bidirectional MR analyses of two samples, TMD (n=377 277) and insomnia (n=375 359), were performed using genome-wide association study statistics published in the FinnGen database. Instrumental variables were first screened, and then inverse variance weighting (IVW) and MR-Egger were used as the main-effect assessment methods. Weighted median, weighted mode, and simple mode served as supplementary methods. We used IVW and MR-Egger to test for heterogeneity, as well as MR-Egger intercepts to assess the single nucleotide polymorphism (SNP) potential level of multiplicity effects. Sensitivity analyses were conducted based on leave-one-out to identify potentially influential SNPs. All analyses were conducted by using the two-sample MR R package and were considered statistically significant when P<0.05.
RESULTS:
MR analysis showed the presence of TMD on insomnia (OR=1.089, 95%CI: 1.017-1.166, P=0.014). Meanwhile, no effect of insomnia on TMD (OR=0.996, 95%CI: 0.964-1.029, P=0.816) was found. The sensitivity-analysis showed that no heterogeneity existed (P>0.05), and the presence of horizontal pleiotropy was not detected (P>0.05). Leave-one-out sensitivity analysis showed no single SNP, which may affect the causal relation. All findings indicated that the causal relationship between TMD and insomnia was not significantly affected by any individual SNP and that IV did not bias the results.
CONCLUSIONS
Results of MR analyses showed that TMD is a risk factor for insomnia, whereas insomnia is not a risk factor for TMD.
Humans
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Sleep Initiation and Maintenance Disorders/genetics*
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Mendelian Randomization Analysis
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Polymorphism, Single Nucleotide
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Temporomandibular Joint Disorders/complications*
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Genome-Wide Association Study
8.MiR-132-3p negatively regulates CAMTA1 to promote Schwann cell proliferation and migration and alleviates I-125 seeds-induced exacerbation of facial nerve injury in rats
Jin ZHU ; Xin OUYANG ; Yu LIU ; Yemei QIAN ; Bin XIA ; Yanan SHI ; Lifu YU
Journal of Southern Medical University 2024;44(3):571-577
Objective To investigate the regulatory effect of miR-132-3p on calmodulin-binding transcription activator 1(CAMTA1)and Schwann cell activity in rats with facial nerve injury(FNI)treated with I-125 seeds.Methods Rat Schwann cells were irradiated with I-125 seeds and transfected with miR-132-3p mimic,miR-132-3p inhibitor or sh-CAMTA1.The expressions of S100B and β-tubulin Ⅲ in the cells were detected with immunofluorescence assay,and the expressions of miR-132-3p and CAMTA1 protein were determined using RT-qPCR and Western blotting,respectively.EdU staining and Transwell assay were used to evaluate the changes in cell proliferation and migration ability.In a rat model of FNI,I-125 seeds were implanted into the facial tissues near the facial nerve 2 weeks before modeling,and miR-132-3p mimic was injected subcutaneously in the face after modeling.The pathologies of the facial nerve was assessed by HE,LFB and immunofluorescence staining.The targeting relationship between miR-132-3p and CAMTA1 was verified using StarBase v2.0 database and dual-luciferase reporter assay.Results Rat Schwann cells showed high expressions of S100B and β-tubulin Ⅲ.I-125 seeds radiation significantly decreased miR-132-3p expression and repressed proliferation and migration of the cells(P<0.001).Overexpression of miR-132-3p or CAMTA1 knockdown obviously enhanced proliferation and migration of the Schwann cells,while miR-132-3p knockdown produced the opposite effect.MiR-132-3p negatively regulated CAMTA1 expression.In the rat models of FNI,miR-132-3p injection significantly inhibited CAMTA1 expression and attenuated I-125 seeds-induced exacerbation of FNI.Conclusion Overexpression of miR-132-3p suppresses CAMTA1 expression and promotes Schwann cell proliferation and migration to alleviate I-125 seeds-induced exacerbation of FNI in rats.
9.Reference values of skeletal muscle mass for children in Nanjing area
Mengyao CAO ; Wu YAN ; Yanan SHI ; Luting PENG ; Ming ZHAO ; Li WANG ; Xiaonan LI
Chinese Journal of Pediatrics 2024;62(5):423-429
Objective:To establish the reference values and growth curves of skeletal muscle mass among children in the Nanjing area.Methods:A cross-sectional study was conducted with children who underwent physical examination at the Department of Child Health Care, Children′s Hospital of Nanjing Medical University from 2020 January to 2022 September. Their height, weight, body fat mass and skeletal muscle mass were measured. Body mass index, percentage of body fat mass, percentage of skeletal muscle mass, relative skeletal muscle mass index and the ratio of skeletal muscle to body fat were calculated. The associations between skeletal muscle mass indices and physical measurements index were analyzed through the Spearman correlation test. The Mann-Kendall test was used to assess the trend for skeletal muscle mass. Generalized additive models for location, scale and shape were used to construct percentile reference values and growth curves of male and female skeletal muscle mass indices at different ages.Results:A total of 32 690 children aged 4-14 years were enrolled in this study, including 19 912 boys (60.91%). Skeletal muscle mass, percentage of skeletal muscle mass, relative skeletal muscle mass index and the ratio of skeletal muscle to body fat of boys and girls was 11.10 (8.40, 14.90) and 10.30 (7.90, 13.20) kg, 40.36% (37.01%, 43.13%) and 39.38% (36.43%, 41.88%), 6.70 (6.07, 7.52) and 6.33 (5.79, 7.00), 2.39 (1.46, 3.47) and 2.14 (1.45, 3.00) kg/m 2, respectively. Skeletal muscle mass of both boys and girls was all positively associated with weight ( r=0.97, 0.96), body mass index ( r=0.68, 0.63) and percentage of body fat mass ( r=0.40, 0.43) (all P<0.01). The reference values and growth curves showed that the percentage of skeletal muscle mass P50 ranged from 37.75%-44.61% in boys and from 36.22%-40.55% in girls. The relative skeletal muscle mass index P50 ranged from 5.80-9.68 kg/m 2 in boys and from 5.57-7.98 kg/m 2 in girls. The ratio of skeletal muscle to body fat P50 ranged from 1.86-2.67 in boys and from 1.29-2.41 in girls. There was an increasing trend with age for both boys and girls in the growth of skeletal muscle mass ( Z=4.20, 3.75, both Ptrend<0.01), and increased slightly before 9 years of age and then increased rapidly until 14 years of age in both boys and girls. Conclusions:The skeletal muscle mass indices change with age and gender during childhood. Percentile reference values for pediatric skeletal muscle mass indices can be used to evaluate the muscular growth and development in children in the Nanjing area.
10.Predictive value of neck circumference for cardiometabolic risk in children
Yanan SHI ; Wu YAN ; Mengyao CAO ; Luting PENG ; Ming ZHAO ; Li WANG ; Qianqi LIU ; Xiaonan LI
Chinese Journal of Pediatrics 2024;62(8):734-740
Objective:To investigate the predictive value of neck circumference on cardiometabolic risk in children.Methods:This was a cross-sectional study of natural sources. As the prediction cohort, clinical data were collected from 3 443 children aged 5-14 years who underwent physical examination in the Department of Child Healthcare, Children′s Hospital of Nanjing Medical University from July 2021 to September 2022. As the validation cohort for external validation, clinical data were collected from 604 children aged 5-14 years who underwent physical examination in the Department of Child Healthcare, Children′s Hospital of Nanjing Medical University from October 2022 to March 2023. Height, weight, neck circumference, waist circumference and body composition were measured in both groups, and body mass index, neck circumference to height ratio (NHtR), waist circumference to height ratio, body fat percentage and skeletal muscle percentage were calculated. Systolic blood pressure, diastolic blood pressure, fasting blood glucose, blood lipid and uric acid and other cardiovascular and metabolic risk indicators were collected in both groups. The prediction cohort was further stratified into clustered and non-clustered groups based on the clustering of cardiometabolic risk factors (CCRF). Various variables between these 2 groups were compared using the Mann-Whitney U test. Pearson correlation and binary Logistic regression were conducted to investigate the correlations between neck circumference and cardiovascular metabolic risk factors. The accuracy of NHtR in predicting the CCRF was evaluated using the area under the curve (AUC) of receiver operating characteristic (ROC). The cutoff value was determined using the Youden index. The validation cohort was then divided into groups above and below the cutoff value, and the detection rate of CCRF between the 2 groups was compared using the χ2 test for validation .Results:In the prediction cohort of 3 443 children (2 316 boys and 1 127 girls), 1 395 (40.5%) children were overweight or obese, and 1 157 (33.6%) children had CCRF. Pearson correlation analysis revealed all significant positive correlations (all P<0.01) between neck circumference and systolic blood pressure ( r=0.47, 0.39), diastolic blood pressure ( r=0.27, 0.21), uric acid ( r=0.36, 0.30), and triglycerides ( r=0.20, 0.20) after adjusting for age in both males and females. Among both males and females, neck circumference both showed significant negative correlation (both P<0.01) with high-density lipoprotein cholesterol ( r=-0.27, -0.28), and no correlation with fasting glucose levels ( r=0.03, -0.03, both P>0.05). After adjusting for gender, age, and body fat percentage, increased body mass index, neck circumference, or waist circumference increased the risks of hypertension ( OR=1.23, 1.39, 1.07, all P<0.001), hyperuricemia ( OR=1.16, 1.23, 1.05, all P<0.001), hypertriglyceridemia ( OR=1.08, 1.16, 1.02, all P<0.01), low high-density lipoprotein cholesterol ( OR=1.10, 1.27, 1.03, all P<0.01), and the CCRF ( OR=1.51, 1.73, 1.15, all P<0.01). The areas under the ROC curves of NHtR in predicting CCRF was 0.73, with sensitivity and specificity at 0.66 and 0.71, respectively. The corresponding optimal cut-off value was 0.21. Validation with 604 children confirmed that the detection of CCRF in the NHtR≥0.21 group was 3.29 times (60.5% (112/185) vs. 18.7% (79/422), χ2=107.82, P<0.01) higher compared to the NHtR <0.21 group. Conclusions:Neck circumference is associated with cardiovascular metabolic risks such as hypertension, hyperlipidemia, hyperglycemia, and hyperuricemia in children. When the NHtR is ≥0.21, there is an increased likelihood of CCRF.

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