1.Effects of oral probiotics during chemotherapy on gut microbiota and cognitive dysfunction in breast cancer patients
Hong-Min JI ; Xiu-Chuan LI ; Chun-Fang LIU ; Meng-Yuan ZHANG ; Qiong GUO ; Yi LI ; Jun QIAN
Parenteral & Enteral Nutrition 2024;31(2):92-100
		                        		
		                        			
		                        			Objective:To investigate the effects of oral probiotics on intestinal microbiota and cognitive dysfunction in breast cancer chemotherapy patients. Methods:Thirty breast cancer patients who received anthracycline chemotherapy between December 2021 and June 2022 in the Department of Oncology, the First Affiliated Hospital of Bengbu Medical University were included in this study. The patients were randomly divided into the observation and control groups (15 cases per group). During chemotherapy, the observation group was additionally given oral probiotics. The fecal microbiota compositions before and after chemotherapy were detected using 16S rDNA sequencing. The changes in patients' subjective and objective cognitive function levels were evaluated by Montreal Cognitive Assessment (MoCA) and Functional Assessment of Cancer Therapy-Cognitive (FACT-Cog), respectively. Results:The microbiota diversity, as indicated by the Chao, Ace, Shannon and Simpson indices, showed no significant difference between two groups (P>0.05). As compared with the control group, the relative abundance of the genus Actinomyces in the feces was significantly higher than in the observation group (P<0.05). By contrast, the relative abundance of the genera Acetoanaerobium, Lachnospiracea_incertae_sedis, and unclassified_Frankineae bacteria was significantly lower in the observation group (P<0.05). The total scores of the objective and subjective cognitive function as well as the scores of each dimension in both groups were markedly decreased after chemotherapy (P<0.05). The scores in the observation group were higher than those in the control group after chemotherapy (P<0.05). During chemotherapy, the presence of the gastrointestinal adverse reactions (constipation, nausea and vomiting, diarrhea and abdominal distension) in the observation group were significantly lower than in control group (P<0.05). Conclusion:Oral probiotics could improve the cognitive impairment and reduce the presence of the gastrointestinal side effects in the breast cancer patients receiving chemotherapy, which may be caused by modulating the intestinal microbiota.
		                        		
		                        		
		                        		
		                        	
2.Research Progress of Biomimetic Imprinting Affinity Analysis Technique
Zhao-Zhou LI ; Yu-Hua WEI ; Xiao-Chong ZHANG ; Xiu-Jin CHEN ; Yao WANG ; Hua-Wei NIU ; Fang LI ; Hong-Li GAO ; Hui-Chun YU ; Yun-Xia YUAN
Chinese Journal of Analytical Chemistry 2024;52(6):763-777
		                        		
		                        			
		                        			Molecular imprinting is a biomimetic technique that simulates the specific recognition of biological macromolecules such as antibody. Based on molecular imprinting and high-specificity affinity analysis,the biomimetic imprinting affinity analysis (BIA) possesses many advantages such as high sensitivity,strong tolerance,good specificity and low cost,and thus,it has shown excellent prospects in food safety detection,pharmaceutical analysis and environmental pollution monitoring. In this review,the construction methods of recognition interfaces for BIA were summarized,including bulk polymerization,electro-polymerization and surface molecular imprinting. The application of molecularly imprinted polymers in different analysis methods,such as radiolabeled affinity analysis,enzyme-labeled affinity analysis,fluorescence-labeled affinity analysis,chemiluminescence affinity analysis and electrochemical immunosensor was mainly discussed. Furthermore,the challenges and future development trends of BIA in practical application were elucidated. This review might provide new reference ideas and technical supports for the further development of BIA technique.
		                        		
		                        		
		                        		
		                        	
3.To compare the efficacy and incidence of severe hematological adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia.
Xiao Shuai ZHANG ; Bing Cheng LIU ; Xin DU ; Yan Li ZHANG ; Na XU ; Xiao Li LIU ; Wei Ming LI ; Hai LIN ; Rong LIANG ; Chun Yan CHEN ; Jian HUANG ; Yun Fan YANG ; Huan Ling ZHU ; Ling PAN ; Xiao Dong WANG ; Gui Hui LI ; Zhuo Gang LIU ; Yan Qing ZHANG ; Zhen Fang LIU ; Jian Da HU ; Chun Shui LIU ; Fei LI ; Wei YANG ; Li MENG ; Yan Qiu HAN ; Li E LIN ; Zhen Yu ZHAO ; Chuan Qing TU ; Cai Feng ZHENG ; Yan Liang BAI ; Ze Ping ZHOU ; Su Ning CHEN ; Hui Ying QIU ; Li Jie YANG ; Xiu Li SUN ; Hui SUN ; Li ZHOU ; Ze Lin LIU ; Dan Yu WANG ; Jian Xin GUO ; Li Ping PANG ; Qing Shu ZENG ; Xiao Hui SUO ; Wei Hua ZHANG ; Yuan Jun ZHENG ; Qian JIANG
Chinese Journal of Hematology 2023;44(9):728-736
		                        		
		                        			
		                        			Objective: To analyze and compare therapy responses, outcomes, and incidence of severe hematologic adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia (CML) . Methods: Data of patients with chronic phase CML diagnosed between January 2006 and November 2022 from 76 centers, aged ≥18 years, and received initial flumatinib or imatinib therapy within 6 months after diagnosis in China were retrospectively interrogated. Propensity score matching (PSM) analysis was performed to reduce the bias of the initial TKI selection, and the therapy responses and outcomes of patients receiving initial flumatinib or imatinib therapy were compared. Results: A total of 4 833 adult patients with CML receiving initial imatinib (n=4 380) or flumatinib (n=453) therapy were included in the study. In the imatinib cohort, the median follow-up time was 54 [interquartile range (IQR), 31-85] months, and the 7-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.2%, 88.4%, 78.3%, and 63.0%, respectively. The 7-year FFS, PFS, and OS rates were 71.8%, 93.0%, and 96.9%, respectively. With the median follow-up of 18 (IQR, 13-25) months in the flumatinib cohort, the 2-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.4%, 86.5%, 58.4%, and 46.6%, respectively. The 2-year FFS, PFS, and OS rates were 80.1%, 95.0%, and 99.5%, respectively. The PSM analysis indicated that patients receiving initial flumatinib therapy had significantly higher cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) and higher probabilities of FFS than those receiving the initial imatinib therapy (all P<0.001), whereas the PFS (P=0.230) and OS (P=0.268) were comparable between the two cohorts. The incidence of severe hematologic adverse events (grade≥Ⅲ) was comparable in the two cohorts. Conclusion: Patients receiving initial flumatinib therapy had higher cumulative incidences of therapy responses and higher probability of FFS than those receiving initial imatinib therapy, whereas the incidence of severe hematologic adverse events was comparable between the two cohorts.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Imatinib Mesylate/adverse effects*
		                        			;
		                        		
		                        			Incidence
		                        			;
		                        		
		                        			Antineoplastic Agents/adverse effects*
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Pyrimidines/adverse effects*
		                        			;
		                        		
		                        			Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy*
		                        			;
		                        		
		                        			Treatment Outcome
		                        			;
		                        		
		                        			Benzamides/adverse effects*
		                        			;
		                        		
		                        			Leukemia, Myeloid, Chronic-Phase/drug therapy*
		                        			;
		                        		
		                        			Aminopyridines/therapeutic use*
		                        			;
		                        		
		                        			Protein Kinase Inhibitors/therapeutic use*
		                        			
		                        		
		                        	
4.Application of preoperative serum CYFRA 21-1 level in the prognosis of colorectal cancer.
Wen Qi HU ; Hui CONG ; Rong Hua FANG ; Wen Tao YUAN ; Chun Yan MAO ; Jie Rong WANG ; Ying WANG ; Xiu Ying SHI
Chinese Journal of Preventive Medicine 2023;57(10):1613-1619
		                        		
		                        			
		                        			To explore the predictive value of preoperative serum CYFRA 21-1 in colorectal cancer (CRC) resection patients. In this retrospective study, 456 patients with CRC who received surgical treatment in the Department of General Surgery, Affiliated Hospital of Nantong University from January 2016 to February 2018 were analyzed. Preoperative CYFRA 21-1, CEA, CA19-9 and pathological data of the study subjects were collected. Determine the cut-off value of CYFRA 21-1 based on the X-tile. Chi-square test or Fisher exact probability test were used to compare clinicopathological features in different CYFRA 21-1 level groups. Univariate and multivariate regression analysis of factors affecting 5-year overall survival (OS) and disease-free survival (DFS). Kaplan-Meier survival curves were used to analyze 5-year differences in OS and DFS in CRC patients with different levels of CYFRA 21-1, CEA and CA19-9. Receiver operating characteristic(ROC) was adopted. ROC curves were used to analyze the prognostic efficacy of CYFRA21-1 for CRC, and nomogram maps were used to predict 1, 3, and 5-year survival rates. The results showed that the optimal cut-off values of serum CYFRA 21-1, CEA and CA19-9 were 4.9 ng/ml, 29.2 ng/ml and 72.8 U/ml, respectively. Different gender, tumor size, location, degree of differentiation, depth of invasion, lymph node metastasis and tumor node metastasis (TNM) classification stage were significantly different between the two groups with high and low CYFRA 21-1, the P-values were 0.018,<0.001,<0.001,<0.001, 0.002, 0.001, 0.003, respectively. CYFRA 21-1 (≥4.9 ng/ml) was an independent risk factor for 5-year OS (HR: 4.008, 95%CI: 2.309-6.958, P<0.001) and DFS (HR: 3.75, 95%CI: 2.227-6.314, P<0.001) in CRC patients. CYFRA 21-1 predicts a 5-year AUC of 0.725 and 0.720 for OS and DFS, respectively, and 0.804 and 0.827 for the combination of CEA and CA19-9. Based on the results of multivariate Cox regression analysis, nomogram graphs of OS and DFS were established, the C-indexes were 0.799 and 0.803, respectively. In conclusion, preoperative serum CYFRA 21-1 level may be an independent risk factor affecting the prognosis of patients with colorectal cancer. The prognostic model established by CYFRA 21-1 combined with CEA, CA19-9 and TNM stages may provide references for the prevention of CRC recurrence and clinical decision-making.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Colorectal Neoplasms/pathology*
		                        			;
		                        		
		                        			CA-19-9 Antigen
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Neoplasm Staging
		                        			;
		                        		
		                        			Neoplasm Recurrence, Local/pathology*
		                        			;
		                        		
		                        			Biomarkers, Tumor
		                        			
		                        		
		                        	
5.Application of preoperative serum CYFRA 21-1 level in the prognosis of colorectal cancer.
Wen Qi HU ; Hui CONG ; Rong Hua FANG ; Wen Tao YUAN ; Chun Yan MAO ; Jie Rong WANG ; Ying WANG ; Xiu Ying SHI
Chinese Journal of Preventive Medicine 2023;57(10):1613-1619
		                        		
		                        			
		                        			To explore the predictive value of preoperative serum CYFRA 21-1 in colorectal cancer (CRC) resection patients. In this retrospective study, 456 patients with CRC who received surgical treatment in the Department of General Surgery, Affiliated Hospital of Nantong University from January 2016 to February 2018 were analyzed. Preoperative CYFRA 21-1, CEA, CA19-9 and pathological data of the study subjects were collected. Determine the cut-off value of CYFRA 21-1 based on the X-tile. Chi-square test or Fisher exact probability test were used to compare clinicopathological features in different CYFRA 21-1 level groups. Univariate and multivariate regression analysis of factors affecting 5-year overall survival (OS) and disease-free survival (DFS). Kaplan-Meier survival curves were used to analyze 5-year differences in OS and DFS in CRC patients with different levels of CYFRA 21-1, CEA and CA19-9. Receiver operating characteristic(ROC) was adopted. ROC curves were used to analyze the prognostic efficacy of CYFRA21-1 for CRC, and nomogram maps were used to predict 1, 3, and 5-year survival rates. The results showed that the optimal cut-off values of serum CYFRA 21-1, CEA and CA19-9 were 4.9 ng/ml, 29.2 ng/ml and 72.8 U/ml, respectively. Different gender, tumor size, location, degree of differentiation, depth of invasion, lymph node metastasis and tumor node metastasis (TNM) classification stage were significantly different between the two groups with high and low CYFRA 21-1, the P-values were 0.018,<0.001,<0.001,<0.001, 0.002, 0.001, 0.003, respectively. CYFRA 21-1 (≥4.9 ng/ml) was an independent risk factor for 5-year OS (HR: 4.008, 95%CI: 2.309-6.958, P<0.001) and DFS (HR: 3.75, 95%CI: 2.227-6.314, P<0.001) in CRC patients. CYFRA 21-1 predicts a 5-year AUC of 0.725 and 0.720 for OS and DFS, respectively, and 0.804 and 0.827 for the combination of CEA and CA19-9. Based on the results of multivariate Cox regression analysis, nomogram graphs of OS and DFS were established, the C-indexes were 0.799 and 0.803, respectively. In conclusion, preoperative serum CYFRA 21-1 level may be an independent risk factor affecting the prognosis of patients with colorectal cancer. The prognostic model established by CYFRA 21-1 combined with CEA, CA19-9 and TNM stages may provide references for the prevention of CRC recurrence and clinical decision-making.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Colorectal Neoplasms/pathology*
		                        			;
		                        		
		                        			CA-19-9 Antigen
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Neoplasm Staging
		                        			;
		                        		
		                        			Neoplasm Recurrence, Local/pathology*
		                        			;
		                        		
		                        			Biomarkers, Tumor
		                        			
		                        		
		                        	
6.Analysis of factors associated with the structure of the gut microbial community in HIV/AIDS patients in some areas of Henan province.
Jia LIU ; Jie GENG ; Jia Qi LIU ; Xiu Juan XUE ; Jiang Zhou YAN ; Yuan YUAN ; Xiang Bing ZHANG ; Chun Hua LIU ; Guo Long ZHANG
Chinese Journal of Epidemiology 2022;43(4):566-571
		                        		
		                        			
		                        			Objective: To investigate the related factors associated with the structure of the gut microbial community in HIV infection/AIDS cases (HIV/AIDS) in Henan province. Methods: The convenience sampling method was used to select 122 cases who were receiving Antiviral Treatment (ART) or ART-naive in Henan. Whole blood and stool specimens were collected. Genomic DNA of stool samples was extracted, and the V3-V4 hypervariable regions of the 16S rRNA gene were sequenced using Illumina NovaSeq 6000 high-throughput sequencing system. The analysis was performed mainly at the genus level, and the 30 genera with the highest abundance were selected as a measure of the gut microbial community structure. The correlation between community structure and related factors was analyzed using redundancy analysis and Envfit function. Results: 122 cases were finally completed sequencing and analysis, the average BMI was (23.62±2.78) kg/m2 and the average age was (47±13) years. Among them, male accounted for 66.39% (81/122), and heterosexual transmission route constituted the largest ratio, accounting for 51.64% (63/122). 36 cases were treatment naive (29.51%, 36/122). The top five dominant genera of the total population (122 cases) were Prevotella, Roseburia, Megamonas, Bacteroides and Faecalibacterium and the top five dominant genera of the ART population (86 cases) were Prevotella, Megamonas, Bacteroides, Roseburia and Faecalibacterium. The top five dominant genera of the ART-naive population (36 cases) appeared as Prevotella, Faecalibacterium, Roseburia, Bacteroides and Megamonas. In the total population, ART (P<0.001) was the most significant factors of community structure. Other significant factors were: duration of diagnosis (P=0.009), viral load (P=0.022) and anti-HCV (P=0.018). ART was positively correlated with Megamonas and negatively correlated with Prevotella, Roseburia and Faecalibacterium, while the other three factors of duration of diagnosis, viral load and anti-HCV were positively correlated with Prevotella, Roseburia and Faecalibacterium and negatively correlated with Megamonas. In the ART-naive population, duration of diagnosis (P=0.003) were the factors significantly associated with community structure. Duration of diagnosis was positively correlated with Roseburia, Faecalibacterium, Megamonas and Prevotella and negatively correlated with Bacteroides. Conclusion: ART and duration of diagnosis were factors significantly associated with gut microbial community structure and had a significant impact on multiple high-abundance genera.
		                        		
		                        		
		                        		
		                        			Acquired Immunodeficiency Syndrome/epidemiology*
		                        			;
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Gastrointestinal Microbiome/genetics*
		                        			;
		                        		
		                        			HIV Infections/epidemiology*
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Microbiota
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			RNA, Ribosomal, 16S/genetics*
		                        			
		                        		
		                        	
8.Incidence of extrauterine growth retardation and its risk factors in very preterm infants during hospitalization: a multicenter prospective study.
Wei SHEN ; Zhi ZHENG ; Xin-Zhu LIN ; Fan WU ; Qian-Xin TIAN ; Qi-Liang CUI ; Yuan YUAN ; Ling REN ; Jian MAO ; Bi-Zhen SHI ; Yu-Mei WANG ; Ling LIU ; Jing-Hui ZHANG ; Yan-Mei CHANG ; Xiao-Mei TONG ; Yan ZHU ; Rong ZHANG ; Xiu-Zhen YE ; Jing-Jing ZOU ; Huai-Yu LI ; Bao-Yin ZHAO ; Yin-Ping QIU ; Shu-Hua LIU ; Li MA ; Ying XU ; Rui CHENG ; Wen-Li ZHOU ; Hui WU ; Zhi-Yong LIU ; Dong-Mei CHEN ; Jin-Zhi GAO ; Jing LIU ; Ling CHEN ; Cong LI ; Chun-Yan YANG ; Ping XU ; Ya-Yu ZHANG ; Si-Le HU ; Hua MEI ; Zu-Ming YANG ; Zong-Tai FENG ; San-Nan WANG ; Er-Yan MENG ; Li-Hong SHANG ; Fa-Lin XU ; Shao-Ping OU ; Rong JU
Chinese Journal of Contemporary Pediatrics 2022;24(2):132-140
		                        		
		                        			OBJECTIVES:
		                        			To investigate the incidence of extrauterine growth retardation (EUGR) and its risk factors in very preterm infants (VPIs) during hospitalization in China.
		                        		
		                        			METHODS:
		                        			A prospective multicenter study was performed on the medical data of 2 514 VPIs who were hospitalized in the department of neonatology in 28 hospitals from 7 areas of China between September 2019 and December 2020. According to the presence or absence of EUGR based on the evaluation of body weight at the corrected gestational age of 36 weeks or at discharge, the VPIs were classified to two groups: EUGR group (n=1 189) and non-EUGR (n=1 325). The clinical features were compared between the two groups, and the incidence of EUGR and risk factors for EUGR were examined.
		                        		
		                        			RESULTS:
		                        			The incidence of EUGR was 47.30% (1 189/2 514) evaluated by weight. The multivariate logistic regression analysis showed that higher weight growth velocity after regaining birth weight and higher cumulative calorie intake during the first week of hospitalization were protective factors against EUGR (P<0.05), while small-for-gestational-age birth, prolonged time to the initiation of total enteral feeding, prolonged cumulative fasting time, lower breast milk intake before starting human milk fortifiers, prolonged time to the initiation of full fortified feeding, and moderate-to-severe bronchopulmonary dysplasia were risk factors for EUGR (P<0.05).
		                        		
		                        			CONCLUSIONS
		                        			It is crucial to reduce the incidence of EUGR by achieving total enteral feeding as early as possible, strengthening breastfeeding, increasing calorie intake in the first week after birth, improving the velocity of weight gain, and preventing moderate-severe bronchopulmonary dysplasia in VPIs.
		                        		
		                        		
		                        		
		                        			Female
		                        			;
		                        		
		                        			Fetal Growth Retardation
		                        			;
		                        		
		                        			Gestational Age
		                        			;
		                        		
		                        			Hospitalization
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Incidence
		                        			;
		                        		
		                        			Infant
		                        			;
		                        		
		                        			Infant, Newborn
		                        			;
		                        		
		                        			Infant, Premature
		                        			;
		                        		
		                        			Infant, Very Low Birth Weight
		                        			;
		                        		
		                        			Prospective Studies
		                        			;
		                        		
		                        			Risk Factors
		                        			
		                        		
		                        	
9.Changes of intestinal flora in children with acute lymphoblastic leukemia before and after chemotherapy.
Sen-Min CHEN ; Si-Xi LIU ; Fen CHEN ; Chun-Yan WANG ; Hui-Rong MAI ; Xiu-Li YUAN ; Fei-Qiu WEN
Chinese Journal of Contemporary Pediatrics 2022;24(5):550-560
		                        		
		                        			OBJECTIVES:
		                        			To examine the changes of intestinal flora in children newly diagnosed with acute lymphoblastic leukemia (ALL) and the influence of chemotherapy on intestinal flora.
		                        		
		                        			METHODS:
		                        			Fecal samples were collected from 40 children newly diagnosed with ALL before chemotherapy and at 2 weeks, 1 month, and 2 months after chemotherapy. Ten healthy children served as the control group. 16S rDNA sequencing and analysis were performed to compare the differences in intestinal flora between the ALL and control groups and children with ALL before and after chemotherapy.
		                        		
		                        			RESULTS:
		                        			The ALL group had a significant reduction in the abundance of intestinal flora at 1 and 2 months after chemotherapy, with a significant reduction compared with the control group (P<0.05). Compared with the control group, the ALL group had a significant reduction in the diversity of intestinal flora before and after chemotherapy (P<0.05). At the phylum level, compared with the control group, the ALL group had a significant reduction in the relative abundance of Actinobacteria at 2 weeks, 1 month, and 2 months after chemotherapy (P<0.05) and a significant increase in the relative abundance of Proteobacteria at 1 and 2 months after chemotherapy (P<0.05). At the genus level, compared with the control group, the ALL group had a significant reduction in the relative abundance of Bifidobacterium at 2 weeks, 1 month, and 2 months after chemotherapy (P<0.05); the relative abundance of Klebsiella in the ALL group was significantly higher than that in the control group at 1 and 2 months after chemotherapy and showed a significant increase at 1 month after chemotherapy (P<0.05); the relative abundance of Faecalibacterium in the ALL group was significantly lower than that in the control group before and after chemotherapy and showed a significant reduction at 2 weeks and 1 month after chemotherapy (P<0.05). The relative abundance of Enterococcus increased significantly at 1 and 2 months after chemotherapy in the ALL group (P<0.05), and was significantly higher than that in the control group (P<0.05).
		                        		
		                        			CONCLUSIONS
		                        			The diversity of intestinal flora in children with ALL is significantly lower than that in healthy children. Chemotherapy significantly reduces the abundance of intestinal flora and can reduce the abundance of some probiotic bacteria (Bifidobacterium and Faecalibacterium) and increase the abundance of pathogenic bacteria (Klebsiella and Enterococcus) in children with ALL.
		                        		
		                        		
		                        		
		                        			Bacteria/genetics*
		                        			;
		                        		
		                        			Bifidobacterium
		                        			;
		                        		
		                        			Child
		                        			;
		                        		
		                        			Feces/microbiology*
		                        			;
		                        		
		                        			Gastrointestinal Microbiome
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy*
		                        			
		                        		
		                        	
10.A case of ultrasound-guided microwave ablation for Graves disease.
Yan Ning SONG ; Wen Yuan SHI ; Jia Jia CHEN ; Qiao WANG ; Xiao Qiao LI ; Min LIU ; Bing Yan CAO ; Xin NI ; Chun Xiu GONG
Chinese Journal of Pediatrics 2022;60(10):1081-1082
            
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