1.Clinical characteristics and prognosis analysis of pancreatic acinar cell carcinoma
Aibaidula AILIXIER· ; Liang MAO ; Hao CHENG ; Zhenghua CAI ; Yudong QIU
International Journal of Surgery 2024;51(10):694-699
Objective:To investigate the clinical characteristics and prognosis of pancreatic acinar cell carcinoma (PACC).Methods:A retrospective case-control study analysis was conducted on the clinical data of 15 PACC patients admitted to Department of Pancreatic and Metabolic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School, Nanjing University from June 2010 to May 2023. The clinical features and prognosis were analyzed.Results:Among the 15 patients with PACC, there were 9 males and 6 females, with a median age of 56 years, age ranged from 34 to 78 years. Abdominal pain was the initial symptom in 80.0% (12/15) of patients. Only 3 patients had elevated serum alpha-fetoprotein or carbohydrate antigen 19-9 levels. 80.0% (12/15) of the tumors were located in the pancreatic head, with an mean maximum diameter was (5.85±3.27) cm. CT scans showed heterogeneous enhancement in all patients, with cystic changes observed in 10 patients′ tumors. 7 patients underwent surgical treatment, including 1 patient involving venous resection and 2 patients involving partial gastrectomy; postoperative staging revealed that stage IB in 3 patients, IIA in 3 patients, and stage Ⅲ in 1 patient. Immunohistochemistry showed that there were 5 cases of Syn (+ ), 3 cases of CgA (+ ), 2 cases of AFP (+ ), 7 cases of Trypsin (+ ), 2 cases of CK7 (+ ), 2 cases of CK19 (+ ), 7 cases of β-catenin (+ ) and 2 cases of CD56 (+ ). Treatment after surgery included adjuvant chemotherapy for all surgical patients. 4 patients received systemic therapy, while 4 patients did not receive any treatment. Follow-up was completed for 11 patients, and lost in 4 patients; among the 7 patients who underwent surgical resection, 3 patients died with an average survival time of 44 months, ranged from 24 to 74 months, while the remaining 4 patients were alive with an average follow-up time of 26 months, ranged from 14 to 38 months. Among the 4 patients treated with systemic therapy, the average survival time was 16 months, ranged from 2 to 41 months.Conclusions:PACC is a rare pancreatic tumor that mainly affects elderly men. Clinical symptoms are often atypical, and there are no specific serum markers. The characteristic imaging findings include uneven enhancement with cystic changes, and positivity for trypsin on immunohistochemistry. Surgical resection combined with adjuvant therapy can provide long-term survival for patients, while those with distant metastasis have a poorer prognosis.
2.Eligibility of C-BIOPRED severe asthma cohort for type-2 biologic therapies.
Zhenan DENG ; Meiling JIN ; Changxing OU ; Wei JIANG ; Jianping ZHAO ; Xiaoxia LIU ; Shenghua SUN ; Huaping TANG ; Bei HE ; Shaoxi CAI ; Ping CHEN ; Penghui WU ; Yujing LIU ; Jian KANG ; Yunhui ZHANG ; Mao HUANG ; Jinfu XU ; Kewu HUANG ; Qiang LI ; Xiangyan ZHANG ; Xiuhua FU ; Changzheng WANG ; Huahao SHEN ; Lei ZHU ; Guochao SHI ; Zhongmin QIU ; Zhongguang WEN ; Xiaoyang WEI ; Wei GU ; Chunhua WEI ; Guangfa WANG ; Ping CHEN ; Lixin XIE ; Jiangtao LIN ; Yuling TANG ; Zhihai HAN ; Kian Fan CHUNG ; Qingling ZHANG ; Nanshan ZHONG
Chinese Medical Journal 2023;136(2):230-232
3.Effects of Tongfengning(痛风宁) on Intestinal Flora and Intestinal Uric Acid Metabolism in Model Mice of Hyperuri⁃cemia of Spleen Deficiency with Exuberance of Dampness Syndrome
Yingjie ZHANG ; Xiao MAO ; Yan XIAO ; Tangyan CAI ; Jiemei GUO ; Peng CHEN ; Peng ZHANG ; Jun LIU ; Yu CHEN ; Mengting QIU ; Youxin SU
Journal of Traditional Chinese Medicine 2023;64(21):2232-2240
ObjectiveTo explore the possible mechanisms of Tongfengning (痛风宁, TFN) in treating hyperuricemia (HUA) of spleen deficiency with exuberance of dampness syndrome. MethodsTen of 60 mice were randomly selected, and were fed with regular diet as the control group, while the remaining 50 mice were fed with high-fat and high-sugar diet combined with excessive exercise and potassium oxonate-allopurinol suspension to establish an HUA animal model of syndrome of spleen deficiency with exuberance of dampness. After the successful modeling, in order to better observe the effects of TFN on the intestinal microbiota of the model mice, a mixed antibiotic suspension was administered by gavage to induce further dysbiosis of the intestinal microbiota in the model mice. Fifty sucessfully modeled mice were randomly divided into model group, TFN group, allopurinol group, probiotics group, and an allopurinol + probiotics group, 10 in each group. The TFN group was administered TFN liquid at a dosage of 19.11 g/(kg·d) by gavage. The allopurinol group was administered allopurinol suspension at a dosage of 78 mg/(kg·d) by gavage. The probiotics group was administered live combined Bifidobacterium and Lactobacillus tablets suspension at a dosage of 3 g/(kg·d) by gavage. The allopurinol + probiotics group was administered allopurinol at a dosage of 78 mg/(kg·d) and live combined Bifidobacterium and Lactobacillus tablets suspension at a dosage of 3 g/(kg·d) by gavage. The control group and model group were administered normal saline at a dosage of 19.11 ml/(kg·d) by gavage. The interventions were continued for 21 days. In order to maintain a stable high blood uric acid state, all groups but the control group continued modeling while receiving drug intervention. The changes in spleen deficiency syndrome scores, blood uric acid levels, microbial community structure, acetic acid and butyric acid content in intestinal lavage fluid, adenosine deaminase (ADA) and xanthine oxidase (XOD) content in small intestine tissue, as well as ATP-binding cassette transporter G2 (ABCG2), glucose transporter 9 (GLUT9) protein and mRNA expression in the small intestine tissue were compared among the groups of mice. ResultsCompared with the control group, the model group showed increased spleen deficiency syndrome scores, blood uric acid levels, relative abundance of phylum Firmicutes, Firmicutes/Bacteroidetes ratio, abundance of Bacteroides genus, Klebsiella genus, and Enterococcus genus, acetic acid content in intestinal lavage fluid, ADA and XOD content in small intestine tissue, as well as GLUT9 protein and mRNA expression (P<0.05). The number of operational taxonomic units (OTUs) of intestinal microbiota, relative abundance of Bacteroidetes phylum, abundance of Lactobacillus genus and uncultured Bacteroides genus, butyric acid content in intestinal lavage fluid, and ABCG2 protein and mRNA expression in small intestine tissue were significantly decreased (P<0.05). Compared with the model group, in the group treated with TFN, probiotics, and allopurinol + probiotics, the spleen deficiency syndrome score, blood uric acid level, relative abundance of Firmicutes, acetic acid content in intestinal lavage fluid, ADA and XOD content in small intestine tissue, GLUT9 protein and mRNA expression significantly decreased. The number of gut microbiota OTUs, relative abundance of proteobacteria, butyric acid content in intestinal lavage fluid, ABCG2 protein and mRNA expression in small intestine tissue significantly increased (P<0.05). In the probiotics group, the ratio of Firmicutes to Bacteroidetes decreased. In the TFN group, the abundance of Lactobacillus and uncultured Bacteroidetes significantly increased, while the abundance of Parabacteroides, Klebsiella, and Enterococcus significantly decreased (P<0.05). Compared with the TFN group, allopurinol group and the probiotics group showed elevated blood uric acid levels, abundance of Bacteroidetes, ADA and XOD levels in intestinal tissue, and GLUT9 mRNA expression. The relative abundance of Firmicutes, abundance of lactobacilli, and ABCG2 mRNA expression significantly decreased. The probiotics group showed elevated GLUT9 protein expression in intestinal tissue. The probiotics group and the allopurinol plus probiotics group showed significantly higher scores for spleen deficiency syndrome in mice, and lower levels of butyric acid in mouse intestinal lavage fluid. The allopurinol group showed decreased numbers of OTUs in mouse intestinal flora, decreased abundance of proteobacteria, and butyric acid levels in intestinal lavage fluid. The allopurinol group also showed decreased ABCG2 protein expression in intestinal tissue, increased acetic acid levels in intestinal lavage fluid, increased abundance of Klebsiella, and significantly elevated GLUT9 protein expression (P<0.05). ConclusionsThe treatment of HUA with TFN may be associated with the regulation of intestinal probiotics (such as lactobacilli) and pathogenic bacteria (such as Klebsiella), as well as the production of bacterial metabolites such as acetic acid and butyric acid. It may also involve reducing the expression of ADA and XOD in the intestines, decreasing intestinal uric acid production, upregulating the expression of intestinal epithelial urate transporter ABCG2, downregulating GLUT9 expression, and promoting intestinal uric acid excretion. These factors are related to the syndrome of spleen deficiency with exuberance of dampness.
4.CT and MRI fusion based on generative adversarial network and convolutional neural networks under image enhancement.
Yunpeng LIU ; Jin LI ; Yu WANG ; Wenli CAI ; Fei CHEN ; Wenjie LIU ; Xianhao MAO ; Kaifeng GAN ; Renfang WANG ; Dechao SUN ; Hong QIU ; Bangquan LIU
Journal of Biomedical Engineering 2023;40(2):208-216
Aiming at the problems of missing important features, inconspicuous details and unclear textures in the fusion of multimodal medical images, this paper proposes a method of computed tomography (CT) image and magnetic resonance imaging (MRI) image fusion using generative adversarial network (GAN) and convolutional neural network (CNN) under image enhancement. The generator aimed at high-frequency feature images and used double discriminators to target the fusion images after inverse transform; Then high-frequency feature images were fused by trained GAN model, and low-frequency feature images were fused by CNN pre-training model based on transfer learning. Experimental results showed that, compared with the current advanced fusion algorithm, the proposed method had more abundant texture details and clearer contour edge information in subjective representation. In the evaluation of objective indicators, Q AB/F, information entropy (IE), spatial frequency (SF), structural similarity (SSIM), mutual information (MI) and visual information fidelity for fusion (VIFF) were 2.0%, 6.3%, 7.0%, 5.5%, 9.0% and 3.3% higher than the best test results, respectively. The fused image can be effectively applied to medical diagnosis to further improve the diagnostic efficiency.
Image Processing, Computer-Assisted/methods*
;
Neural Networks, Computer
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Tomography, X-Ray Computed
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Magnetic Resonance Imaging/methods*
;
Algorithms
5.Risk factors of newly developed nonalcoholic fatty liver disease after pancreaticoduodenectomy.
Yi Fei YANG ; Zheng Hua CAI ; Xu FU ; Jing ZHANG ; Yu Dong QIU ; Liang MAO
Chinese Journal of Surgery 2022;60(1):46-51
Objective: To identify the risk factors of newly developed nonalcoholic fatty liver disease(NAFLD) after pancreaticoduodenectomy(PD). Methods: The clinical data of 130 patients who had undergone PD at Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School of Nanjing University from June 2018 to December 2020 were collected retrospectively. There were 74 males and 56 females, with age(M(IQR)) of 62(16) years (range: 22 to 84 years). Twenty-nine patients who developed NAFLD were divided into NAFLD group and 101 patients who did not suffer NAFLD were divided into no NAFLD group. Observation indications included:(1)preoperative demographics,intraoperative and postoperative characteristics; (2)the risk factors of newly developed NAFLD after PD. Count data were analyzed using χ2 test or Fisher's exact test. Measurement data were analyzed by student t test or Mann-Whitney U test. Multivariate analysis was performed using Logistic regression model with a stepwise forward approach. Results: All 130 patients successfully underwent PD and 29 cases(22.3%) developed NAFLD in 6 months after PD. The results of univariate analysis showed that gender,diabetic mellitus,the level of triglyceride preoperatively,and pancreatic ductal adenocarcinoma were the related factors of the development of NAFLD after PD(t=-2.655, χ²=4.563,U=-2.192,χ²=7.044;all P<0.05).Multivariate analysis revealed that gender,body mass index and pancreatic ductal adenocarcinoma were independent risk factors for the development of NAFLD after PD(OR=2.849,1.214,4.165,all P<0.05). Conclusion: Gender, body mass index and pancreatic ductal adenocarcinoma were independent risk factors for the development of NAFLD after PD.
Female
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Humans
;
Male
;
Non-alcoholic Fatty Liver Disease
;
Pancreatic Neoplasms/surgery*
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Pancreaticoduodenectomy/adverse effects*
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Retrospective Studies
;
Risk Factors
6.Impact of adjuvant chemotherapy on prognosis in intrahepatic cholangiocarcinoma patients underwent radical resection.
Jing Bo SU ; Jing Wei ZHANG ; Chen CHEN ; Ying He QIU ; Hong WU ; Tian Qiang SONG ; Yu HE ; Xian Hai MAO ; Wen Long ZHAI ; Zhang Jun CHENG ; Jing Dong LI ; Shu Bin SI ; Zhi Qiang CAI ; Zhi Min GENG ; Zhao Hui TANG
Chinese Journal of Surgery 2022;60(4):356-362
Objectives: To investigate the clinical value of adjuvant chemotherapy(ACT) in patients with intrahepatic cholangiocarcinoma(ICC) who underwent radical resection and to explore the optimal population that can benefit from ACT. Methods: A retrospective cohort study method was adopted. The clinical and pathological data of 685 patients with ICC who underwent curative intent resection in 10 Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected;There were 355 males and 330 females. The age(M(IQR)) was 58(14) years (range: 22 to 83 years). Propensity score matching(PSM) was applied to balance the differences between the adjuvant and non-adjuvant chemotherapy groups. Log-rank test was used to compare the prognosis of the two groups of patients. A Bayesian network recurrence-free survival(RFS) prediction model was constructed using the median RFS time (14 months) as the target variable, and the importance of the relevant prognostic factors was ranked according to the multistate Birnbaum importance calculation. A survival prognostic prediction table was established to analyze the population benefiting from adjuvant chemotherapy. Results: Among 685 patients,214 received ACT and 471 did not receive ACT. A total of 124 pairs of patients were included after PSM, and patients in the ACT group had better overall survival (OS) and RFS than those in the non-ACT group(OS: 32.2 months vs. 18.0 months,P=0.003;RFS:18.0 months vs. 10.0 months,P=0.001). The area under the curve of the Bayesian network RFS prediction model was 0.7124. The results of the prognostic factors in order of importance were microvascular invasion (0.158 2),perineural invasion (0.158 2),N stage (0.155 8),T stage (0.120 9), hepatic envelope invasion (0.090 3),adjuvant chemotherapy (0.072 1), tumor location (0.057 5), age (0.042 3), pathological differentiation (0.034 0), sex (0.029 3), alpha-fetoprotein (0.028 9) and preoperative jaundice (0.008 5). A survival prediction table based on the variables with importance greater than 0.1 (microvascular invasion,perineural invasion,N stage,T staging) and ACT showed that all patients benefited from ACT (increase in the probability of RFS≥14 months from 2.21% to 7.68%), with a more significant increase in the probability of RFS≥14 months after ACT in early-stage patients. Conclusion: ACT after radical resection in patients with ICC significantly prolongs the OS and RFS of patients, and the benefit of ACT is greater in early patients.
Bayes Theorem
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Bile Duct Neoplasms/surgery*
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Bile Ducts, Intrahepatic/pathology*
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Chemotherapy, Adjuvant
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Cholangiocarcinoma/surgery*
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Female
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Humans
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Male
;
Prognosis
;
Retrospective Studies
7.A prognostic model of intrahepatic cholangiocarcinoma after curative intent resection based on Bayesian network
Chen CHEN ; Yuhan WU ; Jingwei ZHANG ; Yinghe QIU ; Hong WU ; Qi LI ; Tianqiang SONG ; Yu HE ; Xianhan MAO ; Wenlong ZHAI ; Zhangjun CHENG ; Jingdong LI ; Shubin SI ; Zhiqiang CAI ; Zhimin GENG ; Zhaohui TANG
Chinese Journal of Surgery 2021;59(4):265-271
Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.
8.A prognostic model of intrahepatic cholangiocarcinoma after curative intent resection based on Bayesian network
Chen CHEN ; Yuhan WU ; Jingwei ZHANG ; Yinghe QIU ; Hong WU ; Qi LI ; Tianqiang SONG ; Yu HE ; Xianhan MAO ; Wenlong ZHAI ; Zhangjun CHENG ; Jingdong LI ; Shubin SI ; Zhiqiang CAI ; Zhimin GENG ; Zhaohui TANG
Chinese Journal of Surgery 2021;59(4):265-271
Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.
9.Risk factor analysis for pancreatic fistula after pancreaticoduodenectomy for Vater′s ampullary carcinoma
Yifei YANG ; Liang MAO ; Xu FU ; Zhenghua CAI ; Yudong QIU
Chinese Journal of Pancreatology 2021;21(5):346-352
Objective:To identify the risk factors of clinically relevant pancreatic fistula (CR-POPF) after pancreaticoduodenectomy (PD) for Vater′s ampullary carcinoma.Methods:The clinical data of 93 Vater's ampullary carcinoma patients who had undergone PD in Nanjing Drum Tower Hospital from January 2018 to December 2020 was retrospectively analyzed. According to the occurrence of CR-POPF, all patients were divided into the CR-POPF group and no CR-POPF group. Univariate analysis and multivariate analysis by logistic regression model were performed for perioperative risk factors of CR-POPF to identify the independent risk factors for CR-POPF after PD for Vater's ampullary carcinoma.Results:44 patients developed CR-POPF and the rate of CR-POPF was 47.3%(44/93). The most frequently detected microorganisms from abdominal drain fluid after operation were Klebsiella pneumoniae (25.8%), Enterococcus faecalis (19.4%), Enterobacter cloacae (11.8%) and Enterococcus faecium (10.7%). The results of univariate analysis showed that operation time, C-reactive protein (CRP) on postoperative day (POD)1, Klebsiella pneumoniae, Enterococcus faecalis and Enterococcus faecium in the abdominal drainage were statistically different between the two groups (all P value <0.05). Multivariate analysis revealed that CRP on POD1 ( OR 1.029, 95% CI 1.003-1.055, P=0.026), Klebsiella pneumoniae( OR 8.671, 95% CI 2.366-31.772, P=0.001), Enterococcus faecalis( OR 10.497, 95% CI 2.306-41.776, P=0.002) and Enterococcus faecium ( OR 22.580, 95% CI 2.303-221.403, P=0.007) in the abdominal drainage were independent risk factors for the development of CR-POPF after PD for Vater′s ampullary carcinoma. Conclusions:CRP on POD1, Klebsiella pneumoniae, Enterococcus faecalis and Enterococcus faecium in the drain samples were independent risk factors for the development of CR-POPF after PD for Vater′s ampullary carcinoma.
10.Associations between urinary bisphenol A concentrations during pregnancy and gestational age
Jie HU ; Ying LU ; Wei MIAO ; Tong ZHOU ; Jian-qiu GUO ; En-mao CAI ; Chun-hua WU
Shanghai Journal of Preventive Medicine 2021;33(1):47-
Objective We aimed to assess the association between urinary bisphenol A(BPA)concentrations and gestational age in pregnant women. Methods A total of 248 pregnant women were recruited from a maternal and child care hospital in Shanghai. A questionnaire survey was completed to collect socio-demographic information and spot urine samples were collected during pregnancy. Gas chromatography-tandem mass spectrometry(GC-MS/MS)was used to measure BPA concentrations in urine samples. Linear relationship between urinary BPA level and gestational age was assessed by using generalized additive models. Multivariate regression model was used to evaluate associations of prenatal BPA exposure with gestational age. Results BPA was detected in all the urine samples. Median value and geometric mean of urinary BPA levels were 0.85 μg/L and 1.21 μg/L, respectively. Linear relationship between urinary BPA concentration and gestational weeks was confirmed(non-linear

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