1.A case-control analysis on the effects of combined exposure to heavy metals arsenic, mercury, and cadmium on hearing function in adults
Huanhuan NIE ; Shuyuan ZHANG ; Linsheng YANG ; Xianglong MENG ; Hongli WANG ; Yuan WANG ; Jie YANG ; Dongsheng XU
Acta Universitatis Medicinalis Anhui 2026;61(7):1237-1244
ObjectiveTo investigate the association between single and combined exposure to arsenic (As), mercury (Hg), and cadmium (Cd) in urine and hearing loss in adults. MethodsA total of 400 adult patients were recruited for the study, comprising 200 participants in the normal hearing group and 200 in the hearing loss group. General demographic information of the study subjects was collected by a self-administered questionnaire, morning urine samples were tested for As, Hg, and Cd concentrations, and hearing status was assessed by Pure Tone Audiometry. A binary Logistic regression model was used to explore the association between the concentrations of the three metals in urine and hearing loss, and a Bayesian kernel-machine regression (BKMR) model was used to further explore the association between the concentrations of the three metal mixtures and hearing loss. ResultsAfter correction for urinary creatinine, As, Hg, and Cd concentrations were higher in the hearing loss group than those in the normal hearing group (P<0.05). Binary Logistic regression indicated that concentrations of As, Hg, and Cd were positively associated with hearing loss, and the risk of hearing loss was significantly higher in the second quartile of Cd concentration compared to the first quartile (OR=2.000, 95%CI: 1.009-3.964). BKMR modeling analysis showed that the combined exposure levels of As, Hg, and Cd significantly increased the risk of hearing loss, with Cd being the most important contributor (posterior inclusion probability=0.412), and that there were potential interactions between As and Cd, and Cd and Hg. ConclusionCombined exposure to As, Hg, and Cd in urine is significantly associated with adult hearing loss, with Cd being the primary contributor in the exposure combination. The interactions between As and Cd, as well as Cd and Hg, may have adverse effects on hearing loss.
2.The age, sex, and provoked factors of acute symptomatic deep vein thrombosis on the left and right lower extremities.
Chong-Li REN ; Jian-Ming SUN ; Hai-Yang WANG ; Jian FU ; Ye-Liang XU ; Jin WANG ; Meng-Lin NIE
Chinese Journal of Traumatology 2025;28(2):96-100
PURPOSE:
Deep vein thrombosis (DVT) of the left and right lower extremities was treated in the same way, but the left and right extremities received different levels of attention. This study aimed to investigate the differences between the right and left lower extremity deep vein thrombosis (LEDVT).
METHODS:
Clinical characteristics of LEDVT patients from July 2020 to June 2022 were retrospectively analyzed to compare the incidence of LEDVT on different limbs, demographics, predisposing factors, and anatomical characteristics. The exclusion criteria were bilateral LEDVT and recurrent thrombosis. Measured data was analyzed using independent samples t-test or Mann-Whitney test. Count data were analyzed by Chi-square test. A p < 0.05 was considered a statistically significant difference.
RESULTS:
There were 478 patients included in this study and the ratio of left to right LEDVT on the left and right limbs was 3.16:1 (363:115). Left LEDVT predominantly affected female, with the major aged > 50 years (50 - 60 years: 16.80%; > 60 years: 57.30%). The primary predisposing factor was iliac vein compression syndrome, with iliofemoral thrombosis being the main type. Male patients with LEDVT on the right limb were predominant and the age of onset was usually ≤ 60 years (52.17%). The main predisposing factor was recent surgery or trauma (< 30 days) and femoropopliteal thrombosis was the main type. In more detail, the left iliac vein was compressed mainly in the proximal segment, and the right iliac vein was compressed mainly in the intermediate and distal segments. Recent surgery or trauma to the locomotor system and genitourinary system often induced LEDVT.
CONCLUSION
The incidence of LEDVT on the left is significantly higher than that on the right. LEDVT on different sides has different characteristics, which is crucial for prevention and diagnosis in the relevant population so there are also differences in treatment of the affected limbs.
Humans
;
Venous Thrombosis/etiology*
;
Male
;
Female
;
Middle Aged
;
Lower Extremity/blood supply*
;
Retrospective Studies
;
Adult
;
Aged
;
Age Factors
;
Sex Factors
;
Risk Factors
;
Acute Disease
;
Incidence
;
Aged, 80 and over
;
Young Adult
;
Adolescent
3.The value of coronary CT angiography-based traditional features and radiomics in identification of culprit plaques to cause acute myocardial infarction
Pei NIE ; Shuo ZHANG ; Yan DENG ; Shifeng YANG ; Xinxin YU ; Kaiyue ZHI ; He ZHU ; Peng LI ; Jingjing CUI ; Wenjing CHEN ; Yanmei WANG ; Yuchao XU ; Dapeng HAO ; Ximing WANG
Chinese Journal of Radiology 2025;59(9):1017-1028
Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.
4.Comparison of short-term efficacy of drug-coated balloon angioplasty and plain old balloon angioplasty in the treatment of isolated popliteal artery chronic total occlusion and the influencing factors of primary patency rate
Xu DU ; Hekun DU ; Xiulin YANG ; Shuangnan LI ; Zhonglin NIE ; Chaowen YU ; Ran LU
Clinical Medicine of China 2025;41(2):140-146
Objective:To explore the short-term effect of drug-coated balloon angioplasty (DCBA) and common plain old balloon angioplasty (POBA) in the isolated popliteal artery chronic total occlusion (CTO), and to analyze the factors affecting the postoperative primary patency rate.Methods:A retrospective cohort study approach was used in this study. A total of 42 isolated popliteal CTO patients admitted to the First Affiliated Hospital of Bengbu Medical University from January 2020 to June 2022 were divided into two groups according to their different balloons: 24 as POBA group and 18 as DCBA group. The primary patency rate of target lesions, the clinically-driven target lesion revascularization(CD-TLR) rate, amputation and toe amputation rate, and the improvement of ankle-brachial index (ABI) and Rutherford grade at 6 and 12 months after surgery were compared.Measurement data with normal distribution was expressed as xˉ± s and means between two groups were compared using independent samples t-test. The percentage of counting data was calculated, and the rate between groups was compared by χ2 test or Fisher's exact probability method. Kaplan-Meier survival curve method was used to plot the survival curves of primary patency rate and CD-TLR free rate at 12 months after surgery, and Log rank test was used to compare the differences between groups . Univariate log rank test and multivariate Cox regression was used to analyze the factors affecting the primary patency rate at 12 months in patients with isolated popliteal CTO. Results:12 months after surgery, 4 patients in the DCBA group experienced lumen restenosis or occlusion while 12 patients in the POBA group experienced lumen restenosis or occlusion. The cumulative primary patency rate of target lesions in the DCBA group was higher than that in the POBA group (Log-rank χ2=4.03, P=0.045). ABI in the DCBA group at 6 and 12 months was greater than that in the POBA group [(0.91±0.11) vs (0.83±0.09), (0.84±0.11) vs (0.70±0.12), t=2.40, P=0.021, t=3.64 and P=0.001].There were no significant difference in cumulative CD-TLR exemption, amputation and amputation at 12 months, and Rutherford grade at 6 and 12 months for both groups(all P>0.05). The results of univariate analysis showed that DCBA as surgical method, hypertension and coronary heart disease were the influencing factors of the primary patency rate after chronic occlusion of the isolated popliteal artery (all P<0.05). The results of multivariate Cox regression analysis indicated that DCBA as surgical method was a protective factor for primary patency at 12 months (odds ratio =0.31,95% confidence interval: 0.10~0.870., P=0.038), while hypertension was an independent risk factor( OR=5.63,95% confidence interval: 1.54~20.56, P=0.009). Conclusions:The cumulative primary patency rate of target lesions 12 months after isolated popliteal CTO was higher than that of POBA. DCBA as surgical method was a protective factor for primary patency rate 12 months in patients with isolated popliteal CTO, while hypertension was an independent risk factor.
5.Asian consensus on normothermic intraperitoneal and systemic treatment for gastric cancer with peritoneal metastasis
Zhenggang ZHU ; Kitayama Joji ; Hyung-Ho Kim ; Jimmy Bok-Yan So ; Hui CAO ; Lin CHEN ; Xiangdong CHENG ; Jiankun HU ; Imano Motohiro ; Ishigami Hironori ; Ye Seob Jee ; Jong-Han Kim ; Yasuhiro Kodera ; Han LIANG ; Xiaowen LIU ; Sheng LU ; Yiping MOU ; Mingming NIE ; Won Jun Seo ; Yanong WANG ; Dan WU ; Zekuan XU ; Yamaguchi Hironori ; Chao YAN ; Zhongyin YANG ; Kai YIN ; Yonemura Yutaka ; Wei-Peng Yong ; Jiren YU ; Jun ZHANG ; Asian Gastric Cancer NIPS Treatment Collaborative Group ; Shanghai Anticancer Association, Committee of Peritoneal Tumor
Journal of Surgery Concepts & Practice 2025;30(4):277-294
Gastric cancer with peritoneal metastasis (GCPM) is a common and lethal manifestation of advanced gastric cancer, with a median survival of only 5-11 months. This consensus was developed by 30 experts from Asia (China, Japan, Korea, and Singapore) using the Delphi method and the GRADE evidence grading system. A total of 29 statements were formulated, covering the diagnosis and assessment of GCPM, indications for laparoscopic exploration and NIPS (normothermic intraperitoneal and systemic treatment), treatment regimens, prevention and management of complications, criteria for conversion surgery, and postoperative intraperitoneal therapy. The consensus aims to standardize clinical practice and improve the prognosis of patients with GCPM.
6.Analysis of distortion product otoacoustic emissions results of noise-exposed workers at a metal shipbuilding enterprise
Jieting ZHOU ; Jianyu GUO ; Hairu YANG ; Linyan SHU ; Zhixing FAN ; Jia TANG ; Xinqiang NIE ; Guoyong XU ; Hansheng LIN ; Bin XIAO
China Occupational Medicine 2025;52(1):99-105
Objective To evaluate the role of distortion product otoacoustic emissions (DPOAE) testing in evaluating early hearing loss among noise-exposed workers. Methods A total of 174 noise-exposed workers in a metal shipbuilding enterprise were selected as the research subjects by the convenience sampling method. Pure tone audiometry (PTA), DPOAE and the level of noise exposure were conducted on the workers. The rank correlation analysis was used to analyze the correlation between DPOAE amplitude and PTA threshold. The multilevel model was used to analyze the effects of gender, age, noise exposure intensity, cumulative noise exposure (CNE), hearing loss classification and PTA threshold on DPOAE results. Results At the frequencies of 0.50, 1.00, 2.00, 3.00, 4.00, 6.00 and 8.00 kHz, the DPOAE amplitude was negatively correlated with the PTA threshold (rank correlation coefficients were -0.12, -0.48, -0.47, -0.18, -0.23, -0.44, -0.19, respectively, all P<0.01). At the most frequencies, DPOAE amplitude was negatively correlated with age and CNE (all P<0.05). The results of multilevel model analysis showed that there were significant differences in DPOAE amplitudes at certain frequencies across gender, age, noise intensity, CNE, and hearing loss classification (all P<0.05). Significant differences in DPOAE responses were found among different CNE and hearing loss groups (all P<0.01). Conclusion DPOAE testing can objectively reflect the hearing status of noise-exposed workers and could be considered for inclusion in routine hearing monitoring to facilitate early detection of noise-induced hearing loss.
7.Comparison of glucose fluctuation between metformin combined with acarbose or sitagliptin in Chinese patients with type 2 diabetes: A multicenter, randomized, active-controlled, open-label, parallel design clinical trial.
Xiaoling CAI ; Suiyuan HU ; Chu LIN ; Jing WU ; Junfen WANG ; Zhufeng WANG ; Xiaomei ZHANG ; Xirui WANG ; Fengmei XU ; Ling CHEN ; Wenjia YANG ; Lin NIE ; Linong JI
Chinese Medical Journal 2025;138(9):1116-1125
BACKGROUND:
Alpha-glucosidase inhibitors or dipeptidyl peptidase-4 inhibitors are both hypoglycemia agents that specifically impact on postprandial hyperglycemia. We compared the effects of acarbose and sitagliptin add on to metformin on time in range (TIR) and glycemic variability (GV) in Chinese patients with type 2 diabetes mellitus through continuous glucose monitoring (CGM).
METHODS:
This study was a randomized, open-label, active-con-trolled, parallel-group trial conducted at 15 centers in China from January 2020 to August 2022. We recruited patients with type 2 diabetes aged 18-65 years with body mass index (BMI) within 19-40 kg/m 2 and hemoglobin A1c (HbA1c) between 6.5% and 9.0%. Eligible patients were randomized to receive either metformin combined with acarbose 100 mg three times daily or metformin combined with sitagliptin 100 mg once daily for 28 days. After the first 14-day treatment period, patients wore CGM and entered another 14-day treatment period. The primary outcome was the level of TIR after treatment between groups. We also performed time series decomposition, dimensionality reduction, and clustering using the CGM data.
RESULTS:
A total of 701 participants received either acarbose or sitagliptin treatment in combination with metformin. There was no statistically significant difference in TIR between the two groups. Time below range (TBR) and coefficient of variation (CV) levels in acarbose users were significantly lower than those in sitagliptin users. Median (25th percentile, 75th percentile) of TBR below target level <3.9 mmol/L (TBR 3.9 ): Acarbose: 0.45% (0, 2.13%) vs . Sitagliptin: 0.78% (0, 3.12%), P = 0.042; Median (25th percentile, 75th percentile) of TBR below target level <3.0 mmol/L (TBR 3.0 ): Acarbose: 0 (0, 0.22%) vs . Sitagliptin: 0 (0, 0.63%), P = 0.033; CV: Acarbose: 22.44 ± 5.08% vs . Sitagliptin: 23.96 ± 5.19%, P <0.001. By using time series analysis and clustering, we distinguished three groups of patients with representative metabolism characteristics, especially in GV (group with small wave, moderate wave and big wave). No significant difference was found in the complexity of glucose time series index (CGI) between acarbose users and sitagliptin users. By using time series analysis and clustering, we distinguished three groups of patients with representative metabolism characteristics, especially in GV.
CONCLUSIONS:
Acarbose had slight advantages over sitagliptin in improving GV and reducing the risk of hypoglycemia. Time series analysis of CGM data may predict GV and the risk of hypoglycemia.
TRIAL REGISTRATION
Chinese Clinical Trial Registry: ChiCTR2000039424.
Humans
;
Metformin/therapeutic use*
;
Sitagliptin Phosphate/therapeutic use*
;
Acarbose/therapeutic use*
;
Diabetes Mellitus, Type 2/blood*
;
Middle Aged
;
Male
;
Female
;
Adult
;
Blood Glucose/drug effects*
;
Hypoglycemic Agents/therapeutic use*
;
Aged
;
Glycated Hemoglobin/metabolism*
;
Adolescent
;
Young Adult
;
China
;
East Asian People
8.Association of NLRP3 genetic variant rs10754555 with early-onset coronary artery disease.
Lingfeng ZHA ; Chengqi XU ; Mengqi WANG ; Shaofang NIE ; Miao YU ; Jiangtao DONG ; Qianwen CHEN ; Tian XIE ; Meilin LIU ; Fen YANG ; Zhengfeng ZHU ; Xin TU ; Qing K WANG ; Zhilei SHAN ; Xiang CHENG
Chinese Medical Journal 2025;138(21):2844-2846
9.Investigation on status quo of indwelling needle use in 77 hospitals of Chongqing city
Jingwen QIN ; Liping LIU ; Luanjiao HU ; Yongxiang MAO ; Xu ZHANG ; Ying NIE ; Jie YANG ; Guangwei LIU
Chongqing Medicine 2025;54(2):500-504
Objective To investigate the status quo of indwelling needles use in the hospitals at all lev-els in Chongqing city,and to evaluate the normalization and safety of indwelling needles use by referring to Nursing Practice Standards for Intravenous Therapy.Methods A self-designed questionnaire was used in July 2023 to conduct a cross-sectional survey on the use of indwelling needles in the hospitals at all levels in Chongqing city.Results A total of 30 807 patients in 77 hospitals were included,among them 62.67%used indwelling needles.The closed type indwelling needles accounted for 88.87%and the safety type indwelling needles accounted for 41.74%.Non-needle infusion connectors accounted for 37.78%,and steel needle con-nected with heparin caps accounted for 51.69%.95.66%of puncture site was in the upper limb,the non-cor-rosive drug infusion accounted for 87.57%,and the complications occurrence rate was 2.46%.Among the 6 419 surveyed nurses,75.51%removed indwelling needles based on clinical indications.There were statistically significant differences in the usage rates of closed type indwelling needles and non-needle infusion connectors among hospitals at different levels(P<0.05).There were also statistically significant differences in the inci-dence rates of complication and phlebitis(P<0.05).Conclusion The overall application of indwelling needles in the hospitals at all levels in Chongqing city is generally standardized,but the use of safety type indwelling needles and needle-free infusion connectors still needs to be improved.
10.The value of coronary CT angiography-based traditional features and radiomics in identification of culprit plaques to cause acute myocardial infarction
Pei NIE ; Shuo ZHANG ; Yan DENG ; Shifeng YANG ; Xinxin YU ; Kaiyue ZHI ; He ZHU ; Peng LI ; Jingjing CUI ; Wenjing CHEN ; Yanmei WANG ; Yuchao XU ; Dapeng HAO ; Ximing WANG
Chinese Journal of Radiology 2025;59(9):1017-1028
Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

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