1.Coronary artery perforation after using shockwave balloon during percutaneous coronary intervention treatment:a case report
Chen-Ji XU ; Fei LI ; Fa ZHENG ; Bin ZHANG ; Feng-Xia QU ; Jian-Meng WANG ; Ya-Qun ZHOU ; Xian-Liang LI ; Song-Tao WANG ; Yan SHAO ; Chang-Hong LU
Chinese Journal of Interventional Cardiology 2024;32(7):405-408
		                        		
		                        			
		                        			Coronary perforation is when a contrast agent or blood flows outside a blood vessel through a tear in a coronary artery.In this case,we reported a case of percutaneous coronary intervention for coronary calcified lesions,which led to iatrogenic coronary perforation and cardiac tamponade after the use of Shockwave balloon to treat intracoronary calcified nodules,and the management of PCI-related CAP was systematically reviewed through the literature.
		                        		
		                        		
		                        		
		                        	
2.Incidence and prognosis of olfactory and gustatory dysfunctions related to infection of SARS-CoV-2 Omicron strain: a national multi-center survey of 35 566 population.
Meng Fan LIU ; Rui Xia MA ; Xian Bao CAO ; Hua ZHANG ; Shui Hong ZHOU ; Wei Hong JIANG ; Yan JIANG ; Jing Wu SUN ; Qin Tai YANG ; Xue Zhong LI ; Ya Nan SUN ; Li SHI ; Min WANG ; Xi Cheng SONG ; Fu Quan CHEN ; Xiao Shu ZHANG ; Hong Quan WEI ; Shao Qing YU ; Dong Dong ZHU ; Luo BA ; Zhi Wei CAO ; Xu Ping XIAO ; Xin WEI ; Zhi Hong LIN ; Feng Hong CHEN ; Chun Guang SHAN ; Guang Ke WANG ; Jing YE ; Shen Hong QU ; Chang Qing ZHAO ; Zhen Lin WANG ; Hua Bin LI ; Feng LIU ; Xiao Bo CUI ; Sheng Nan YE ; Zheng LIU ; Yu XU ; Xiao CAI ; Wei HANG ; Ru Xin ZHANG ; Yu Lin ZHAO ; Guo Dong YU ; Guang Gang SHI ; Mei Ping LU ; Yang SHEN ; Yu Tong ZHAO ; Jia Hong PEI ; Shao Bing XIE ; Long Gang YU ; Ye Hai LIU ; Shao wei GU ; Yu Cheng YANG ; Lei CHENG ; Jian Feng LIU
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2023;58(6):579-588
		                        		
		                        			
		                        			Objective: This cross-sectional investigation aimed to determine the incidence, clinical characteristics, prognosis, and related risk factors of olfactory and gustatory dysfunctions related to infection with the SARS-CoV-2 Omicron strain in mainland China. Methods: Data of patients with SARS-CoV-2 from December 28, 2022, to February 21, 2023, were collected through online and offline questionnaires from 45 tertiary hospitals and one center for disease control and prevention in mainland China. The questionnaire included demographic information, previous health history, smoking and alcohol drinking, SARS-CoV-2 vaccination, olfactory and gustatory function before and after infection, other symptoms after infection, as well as the duration and improvement of olfactory and gustatory dysfunction. The self-reported olfactory and gustatory functions of patients were evaluated using the Olfactory VAS scale and Gustatory VAS scale. Results: A total of 35 566 valid questionnaires were obtained, revealing a high incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain (67.75%). Females(χ2=367.013, P<0.001) and young people(χ2=120.210, P<0.001) were more likely to develop these dysfunctions. Gender(OR=1.564, 95%CI: 1.487-1.645), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), oral health status (OR=0.881, 95%CI: 0.839-0.926), smoking history (OR=1.152, 95%CI=1.080-1.229), and drinking history (OR=0.854, 95%CI: 0.785-0.928) were correlated with the occurrence of olfactory and taste dysfunctions related to SARS-CoV-2(above P<0.001). 44.62% (4 391/9 840) of the patients who had not recovered their sense of smell and taste also suffered from nasal congestion, runny nose, and 32.62% (3 210/9 840) suffered from dry mouth and sore throat. The improvement of olfactory and taste functions was correlated with the persistence of accompanying symptoms(χ2=10.873, P=0.001). The average score of olfactory and taste VAS scale was 8.41 and 8.51 respectively before SARS-CoV-2 infection, but decreased to3.69 and 4.29 respectively after SARS-CoV-2 infection, and recovered to 5.83and 6.55 respectively at the time of the survey. The median duration of olfactory and gustatory dysfunctions was 15 days and 12 days, respectively, with 0.5% (121/24 096) of patients experiencing these dysfunctions for more than 28 days. The overall self-reported improvement rate of smell and taste dysfunctions was 59.16% (14 256/24 096). Gender(OR=0.893, 95%CI: 0.839-0.951), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), history of head and facial trauma(OR=1.180, 95%CI: 1.036-1.344, P=0.013), nose (OR=1.104, 95%CI: 1.042-1.171, P=0.001) and oral (OR=1.162, 95%CI: 1.096-1.233) health status, smoking history(OR=0.765, 95%CI: 0.709-0.825), and the persistence of accompanying symptoms (OR=0.359, 95%CI: 0.332-0.388) were correlated with the recovery of olfactory and taste dysfunctions related to SARS-CoV-2 (above P<0.001 except for the indicated values). Conclusion: The incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain is high in mainland China, with females and young people more likely to develop these dysfunctions. Active and effective intervention measures may be required for cases that persist for a long time. The recovery of olfactory and taste functions is influenced by several factors, including gender, SARS-CoV-2 vaccination status, history of head and facial trauma, nasal and oral health status, smoking history, and persistence of accompanying symptoms.
		                        		
		                        		
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			SARS-CoV-2
		                        			;
		                        		
		                        			Smell
		                        			;
		                        		
		                        			COVID-19/complications*
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			COVID-19 Vaccines
		                        			;
		                        		
		                        			Incidence
		                        			;
		                        		
		                        			Olfaction Disorders/etiology*
		                        			;
		                        		
		                        			Taste Disorders/etiology*
		                        			;
		                        		
		                        			Prognosis
		                        			
		                        		
		                        	
3.Differential diagnosis of autism spectrum disorder and global developmental delay based on machine learning and Children Neuropsychological and Behavioral Scale.
Gang ZHOU ; Xiao-Bin ZHANG ; Xing-Da QU ; Mei-Fang LUO ; Qiong-Ling PENG ; Li-Ya MA ; Zhong ZHAO
Chinese Journal of Contemporary Pediatrics 2023;25(10):1028-1033
		                        		
		                        			OBJECTIVES:
		                        			To investigate the efficacy and required indicators of Children Neuropsychological and Behavioral Scale-Revision 2016 (CNBS-R2016) in the differential diagnosis of autism spectrum disorder (ASD) and global developmental delay (GDD).
		                        		
		                        			METHODS:
		                        			A total of 277 children with ASD and 415 children with GDD, aged 18-48 months, were enrolled as subjects. CNBS-R2016 was used to assess the developmental levels of six domains, i.e., gross motor, fine motor, adaptive ability, language, social behavior, and warning behavior, and a total of 13 indicators on intelligence age and developmental quotient (DQ) were obtained as the input features. Five commonly used machine learning classifiers were used for training to calculate the classification accuracy, sensitivity, and specificity of each classifier.
		                        		
		                        			RESULTS:
		                        			DQ of warning behavior was selected as the first feature in all five classifiers, and the use of this indicator alone had a classification accuracy of 78.90%. When the DQ of warning behavior was used in combination with the intelligence age of warning behavior, gross motor, and language, it had the highest classification accuracy of 86.71%.
		                        		
		                        			CONCLUSIONS
		                        			Machine learning combined with CNBS-R2016 can effectively distinguish children with ASD from those with GDD. The DQ of warning behavior plays an important role in machine learning, and its combination with other features can improve classification accuracy, providing a basis for the efficient and accurate differential diagnosis of ASD and GDD in clinical practice.
		                        		
		                        		
		                        		
		                        			Child
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Autism Spectrum Disorder/psychology*
		                        			;
		                        		
		                        			Diagnosis, Differential
		                        			;
		                        		
		                        			Machine Learning
		                        			;
		                        		
		                        			Social Behavior
		                        			
		                        		
		                        	
4.Astragalus polysaccharide inhibits IDO1 expression in colon tumor microenvironment to increase intratumoral CD8~+ T cell infiltration.
Ya-Nan WANG ; Ming-Bin GUI ; Lian-Ping QU ; Min ZOU ; Feng GAO
China Journal of Chinese Materia Medica 2023;48(17):4722-4730
		                        		
		                        			
		                        			This study aims to investigate the regulatory effects of Astragalus polysaccharide(APS) and APS combined with 5-fluorouracil(5-FU) on indoleamine-2,3-dioxygenase(IDO1) in the colon tumor microenvironment. Sixty Balb/c mice were randomized into a blank group, a model group, an APS group, an APS + 5-FU group, an APS + low-dose 5-FU group, and a 5-FU group. A tumor model was established by subcutaneous transplantation with CT-26 mouse colon cancer cells in other groups except the blank group. After successful modeling, each group was treated with corresponding drugs for 7 days. The general condition, body weight, and tumor volume of the mice were observed and measured daily during the treatment period. The mice were sacrificed at the end of treatment, and the tumor suppression rate and spleen index of the mice were calculated. Western blot and fluorescence quantitative PCR were employed to determine the protein and mRNA levels, respectively, of IDO1 in the tumor tissue of mice. High performance liquid chromatography was employed to measure the levels of tryptophan(Trp) and kynurenine(Kyn) in the tumor tissue of mice. Hematoxylin-eosin(HE) staining was performed to observe the histological changes of the tumor tissue, and immunohistochemistry to detect the changes of CD4 and CD8 expression in the tumor tissue. Compared with that in the model group, the tumor volume of mice in each treatment group significantly reduced. The body weights of mice in APS + 5-FU group and 5-FU group significantly reduced from day 4 to day 7 of treatment. In addition, the APS + 5-FU group and 5-FU group showed significantly decreased spleen index. The protein and mRNA levels of IDO1 were significantly down-regulated in the APS, APS + 5-FU, and APS + low-dose 5-FU groups. The drug interventions significantly increased the Trp content and decreased the Kyn content. The APS + 5-FU group showed significantly reduced infiltration of CD4~+ T lymphocytes and increased infiltration of CD8~+ T lymphocytes. APS inhibited the expression of IDO1 in the colon tumor microenvironment to increase CD8~+ T lymphocyte infiltration, and the combination of APS with 5-FU demonstrated better effect.
		                        		
		                        		
		                        		
		                        			Mice
		                        			;
		                        		
		                        			Animals
		                        			;
		                        		
		                        			Tumor Microenvironment
		                        			;
		                        		
		                        			Colonic Neoplasms/genetics*
		                        			;
		                        		
		                        			Fluorouracil/pharmacology*
		                        			;
		                        		
		                        			Polysaccharides/pharmacology*
		                        			;
		                        		
		                        			CD8-Positive T-Lymphocytes/metabolism*
		                        			;
		                        		
		                        			RNA, Messenger/metabolism*
		                        			
		                        		
		                        	
5.Association between urinary arsenic level and serum testosterone in Chinese men aged 18 to 79 years.
Ya Wei LI ; Zheng LI ; Hao Can SONG ; Liang DING ; Sai Sai JI ; Miao ZHANG ; Ying Li QU ; Qi SUN ; Yuan Duo ZHU ; Hui FU ; Jia Yi CAI ; Chen Feng LI ; Ying Ying HAN ; Wen Li ZHANG ; Feng ZHAO ; Yue Bin LYU ; Xiao Ming SHI
Chinese Journal of Preventive Medicine 2023;57(5):686-692
		                        		
		                        			
		                        			Objective: To investigate the association between the urinary arsenic level and serum total testosterone in Chinese men aged 18 to 79 years. Methods: A total of 5 048 male participants aged 18 to 79 years were recruited from the China National Human Biomonitoring (CNHBM) from 2017 to 2018. Questionnaires and physical examinations were used to collect information on demographic characteristics, lifestyle, food intake frequency and health status. Venous blood and urine samples were collected to detect the level of serum total testosterone, urinary arsenic and urinary creatinine. Participants were divided into three groups (low, middle, and high) based on the tertiles of creatinine-adjusted urinary arsenic concentration. Weighted multiple linear regression was fitted to analyze the association of urinary arsenic with serum total testosterone. Results: The weighted average age of 5 048 Chinese men was (46.72±0.40) years. Geometric mean concentration (95%CI) of urinary arsenic, creatinine-adjusted urinary arsenic and serum testosterone was 22.46 (20.08, 25.12) μg/L, 19.36 (16.92, 22.15) μg/g·Cr and 18.13 (17.42, 18.85) nmol/L, respectively. After controlling for covariates, compared with the low-level urinary arsenic group, the testosterone level of the participants in the middle-level group and the high-level group decreased gradually. The percentile ratio (95%CI) was -5.17% (-13.14%, 3.54%) and -10.33% (-15.68%, -4.63). The subgroup analysis showed that the association between the urinary arsenic level and testosterone level was more obvious in the group with BMI<24 kg/m2 group (Pinteraction=0.023). Conclusion: There is a negative association between the urinary arsenic level and serum total testosterone in Chinese men aged 18 to 79 years.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Arsenic/urine*
		                        			;
		                        		
		                        			Creatinine
		                        			;
		                        		
		                        			East Asian People
		                        			;
		                        		
		                        			Testosterone/blood*
		                        			;
		                        		
		                        			Urinalysis
		                        			;
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Young Adult
		                        			;
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Aged
		                        			
		                        		
		                        	
6.Mediation effect of inflammatory biomarkers on the association between blood lead levels and blood pressure changes in Chinese adults.
Ying Li QU ; Feng ZHAO ; Sai Sai JI ; Xiao Jian HU ; Zheng LI ; Miao ZHANG ; Ya Wei LI ; Yi Fu LU ; Jia Yi CAI ; Qi SUN ; Hao Can SONG ; Dan Dan LI ; Xu Lin ZHENG ; Bing WU ; Yao Bin LV ; Ying ZHU ; Zhao Jin CAO ; Xiao Ming SHI
Chinese Journal of Preventive Medicine 2022;56(11):1591-1596
		                        		
		                        			
		                        			Objective: To investigate the role of inflammatory biomarkers in the relationship between blood lead levels and blood pressure changes. Methods: A total of 9 910 people aged 18-79 years who participated in the China National Human Biomonitoring in 2017-2018 were included in this study. A self-made questionnaire was used to collect demographic characteristics, lifestyle and other information, and the data including height, weight and blood pressure were determined through physical examination. Blood and urinary samples were collected for the detection of blood lead and cadmium levels, urinary arsenic levels, white blood cells, neutrophils, lymphocytes, and hypersensitive C-reactive protein (hs-CRP). Weighted linear regression models were used to evaluate the associations between blood lead, inflammatory biomarkers and blood pressure. Mediation analysis was performed to investigate the role of inflammation in the relationship between blood lead levels and blood pressure changes. Results: The median (Q1, Q3) age of all participants was 45.4 (33.8, 58.4)years, including 4 984 males accounting for 50.3%. Multivariate logistic regression model analysis showed that after adjusting for age, gender, residence area, BMI, education level, smoking and drinking status, family history of hypertension, consumption frequency of rice, vegetables, and red meat, fasting blood glucose, total cholesterol, triglycerides, blood cadmium and urinary arsenic levels, there was a positive association between blood lead levels, inflammatory biomarkers and blood pressure (P<0.05). Each 2.71 μg/L (log-transformed) increase of the lead was associated with a 2.05 (95%CI: 0.58, 3.53) mmHg elevation in systolic blood pressure (SBP), 2.24 (95%CI: 1.34, 3.14) mmHg elevation in diastolic blood pressure (DBP), 0.25 (95%CI: 0.05, 0.46) mg/L elevation in hs-CRP, 0.16 (95%CI: 0.03, 0.29)×109/L elevation in white blood cells, and 0.11 (95%CI: 0.02, 0.21)×109/L elevation in lymphocytes, respectively. Mediation analysis showed that the levels of hs-CRP significantly mediated the association of blood lead with SBP, with a proportion about 3.88% (95%CI: 0.45%, 7.32%). The analysis also found that the levels of hs-CRP and neutrophils significantly mediated the association of blood lead with SBP, with a proportion about 4.10% (95%CI: 1.11%, 7.10%) and 2.42% (95%CI: 0.07%, 4.76%), respectively. Conclusion: This study suggests that inflammatory biomarkers could significantly mediate the association of blood lead levels and blood pressure changes.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Blood Pressure/physiology*
		                        			;
		                        		
		                        			C-Reactive Protein/analysis*
		                        			;
		                        		
		                        			Lead
		                        			;
		                        		
		                        			Arsenic/analysis*
		                        			;
		                        		
		                        			Cadmium
		                        			;
		                        		
		                        			Biomarkers
		                        			;
		                        		
		                        			Hypertension/epidemiology*
		                        			;
		                        		
		                        			China/epidemiology*
		                        			
		                        		
		                        	
7.Association of lead exposure with stunting and underweight among children aged 3-5 years in China.
Zheng LI ; Yao Bin LYU ; Feng ZHAO ; Qi SUN ; Ying Li QU ; Sai Sai JI ; Tian QIU ; Ya Wei LI ; Shi Xun SONG ; Miao ZHANG ; Ying Chun LIU ; Jia Yi CAI ; Hao Can SONG ; Xu Lin ZHENG ; Bing WU ; Dan Dan LI ; Ying LIU ; Ying ZHU ; Zhao Jin CAO ; Xiao Ming SHI
Chinese Journal of Preventive Medicine 2022;56(11):1597-1603
		                        		
		                        			
		                        			Objective: To evaluate the association of lead exposure with stunting and underweight among children aged 3-5 years in China. Methods: Data was collected from China National Human Biomonitoring (CNHBM) between January 2017 and December 2018. A total of 3 554 children aged 3-5 years were included. Demographic characteristic, lifestyle and nutritional status were collected through questionnaires. Height and weight were measured by standardized method. Stunting and underweight status were determined by calculating height for age Z-score and weight for age Z-score. Blood and urine samples were collected to detect the concentrations of blood lead, urinary lead and urinary creatinine. Children were stratified into 4 groups (Q1 to Q4) by quartiles of blood lead level and corrected urinary lead level, respectively. Complex sampling logistic regression models were applied to evaluate the association of the blood lead level, urinary lead level with stunting and underweight. Results: Among 3 554 children, the age was (4.09±1.06) years, of which 1 779 (80.64%) were female and 1 948 (55.84%) were urban residents. The prevalence of stunting and wasting was 7.34% and 2.96%, respectively. The M (Q1, Q3) for blood lead levels and urinary lead levels in children was 17.49 (12.80, 24.71) μg/L, 1.20 (0.61, 2.14) μg/g Cr, respectively. After adjusting for confounding factors, compared with the lowest blood lead concentration group Q1, the risk of stunting gradually increased in the Q3 and Q4 group (Ptrend=0.010), with OR (95%CI) values of 1.40 (0.80-2.46) and 1.80 (1.07-3.04), respectively. Compared with the lowest urinary lead concentration group Q1, the risk of stunting still increased in the Q3 and Q4 group (Ptrend=0.012), with OR (95%CI) values of 1.69 (1.01-2.84) and 1.79 (1.05-3.06), respectively. The correlation between the lead exposure and underweight was not statistically significant (P>0.05). Conclusion: Lead exposure is positively associated with the risk of stunting among children aged 3-5 years in China.
		                        		
		                        		
		                        		
		                        			Child
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Infant
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Lead
		                        			;
		                        		
		                        			Thinness/epidemiology*
		                        			;
		                        		
		                        			Growth Disorders/epidemiology*
		                        			;
		                        		
		                        			Body Height
		                        			;
		                        		
		                        			Nutritional Status
		                        			;
		                        		
		                        			Prevalence
		                        			;
		                        		
		                        			China/epidemiology*
		                        			
		                        		
		                        	
8.A multicenter epidemiological study of acute bacterial meningitis in children.
Cai Yun WANG ; Hong Mei XU ; Jiao TIAN ; Si Qi HONG ; Gang LIU ; Si Xuan WANG ; Feng GAO ; Jing LIU ; Fu Rong LIU ; Hui YU ; Xia WU ; Bi Quan CHEN ; Fang Fang SHEN ; Guo ZHENG ; Jie YU ; Min SHU ; Lu LIU ; Li Jun DU ; Pei LI ; Zhi Wei XU ; Meng Quan ZHU ; Li Su HUANG ; He Yu HUANG ; Hai Bo LI ; Yuan Yuan HUANG ; Dong WANG ; Fang WU ; Song Ting BAI ; Jing Jing TANG ; Qing Wen SHAN ; Lian Cheng LAN ; Chun Hui ZHU ; Yan XIONG ; Jian Mei TIAN ; Jia Hui WU ; Jian Hua HAO ; Hui Ya ZHAO ; Ai Wei LIN ; Shuang Shuang SONG ; Dao Jiong LIN ; Qiong Hua ZHOU ; Yu Ping GUO ; Jin Zhun WU ; Xiao Qing YANG ; Xin Hua ZHANG ; Ying GUO ; Qing CAO ; Li Juan LUO ; Zhong Bin TAO ; Wen Kai YANG ; Yong Kang ZHOU ; Yuan CHEN ; Li Jie FENG ; Guo Long ZHU ; Yan Hong ZHANG ; Ping XUE ; Xiao Qin LI ; Zheng Zhen TANG ; De Hui ZHANG ; Xue Wen SU ; Zheng Hai QU ; Ying ZHANG ; Shi Yong ZHAO ; Zheng Hong QI ; Lin PANG ; Cai Ying WANG ; Hui Ling DENG ; Xing Lou LIU ; Ying Hu CHEN ; Sainan SHU
Chinese Journal of Pediatrics 2022;60(10):1045-1053
		                        		
		                        			
		                        			Objective: To analyze the clinical epidemiological characteristics including composition of pathogens , clinical characteristics, and disease prognosis acute bacterial meningitis (ABM) in Chinese children. Methods: A retrospective analysis was performed on the clinical and laboratory data of 1 610 children <15 years of age with ABM in 33 tertiary hospitals in China from January 2019 to December 2020. Patients were divided into different groups according to age,<28 days group, 28 days to <3 months group, 3 months to <1 year group, 1-<5 years of age group, 5-<15 years of age group; etiology confirmed group and clinically diagnosed group according to etiology diagnosis. Non-numeric variables were analyzed with the Chi-square test or Fisher's exact test, while non-normal distrituction numeric variables were compared with nonparametric test. Results: Among 1 610 children with ABM, 955 were male and 650 were female (5 cases were not provided with gender information), and the age of onset was 1.5 (0.5, 5.5) months. There were 588 cases age from <28 days, 462 cases age from 28 days to <3 months, 302 cases age from 3 months to <1 year of age group, 156 cases in the 1-<5 years of age and 101 cases in the 5-<15 years of age. The detection rates were 38.8% (95/245) and 31.5% (70/222) of Escherichia coli and 27.8% (68/245) and 35.1% (78/222) of Streptococcus agalactiae in infants younger than 28 days of age and 28 days to 3 months of age; the detection rates of Streptococcus pneumonia, Escherichia coli, and Streptococcus agalactiae were 34.3% (61/178), 14.0% (25/178) and 13.5% (24/178) in the 3 months of age to <1 year of age group; the dominant pathogens were Streptococcus pneumoniae and the detection rate were 67.9% (74/109) and 44.4% (16/36) in the 1-<5 years of age and 5-<15 years of age . There were 9.7% (19/195) strains of Escherichia coli producing ultra-broad-spectrum β-lactamases. The positive rates of cerebrospinal fluid (CSF) culture and blood culture were 32.2% (515/1 598) and 25.0% (400/1 598), while 38.2% (126/330)and 25.3% (21/83) in CSF metagenomics next generation sequencing and Streptococcus pneumoniae antigen detection. There were 4.3% (32/790) cases of which CSF white blood cell counts were normal in etiology confirmed group. Among 1 610 children with ABM, main intracranial imaging complications were subdural effusion and (or) empyema in 349 cases (21.7%), hydrocephalus in 233 cases (14.5%), brain abscess in 178 cases (11.1%), and other cerebrovascular diseases, including encephalomalacia, cerebral infarction, and encephalatrophy, in 174 cases (10.8%). Among the 166 cases (10.3%) with unfavorable outcome, 32 cases (2.0%) died among whom 24 cases died before 1 year of age, and 37 cases (2.3%) had recurrence among whom 25 cases had recurrence within 3 weeks. The incidences of subdural effusion and (or) empyema, brain abscess and ependymitis in the etiology confirmed group were significantly higher than those in the clinically diagnosed group (26.2% (207/790) vs. 17.3% (142/820), 13.0% (103/790) vs. 9.1% (75/820), 4.6% (36/790) vs. 2.7% (22/820), χ2=18.71, 6.20, 4.07, all P<0.05), but there was no significant difference in the unfavorable outcomes, mortility, and recurrence between these 2 groups (all P>0.05). Conclusions: The onset age of ABM in children is usually within 1 year of age, especially <3 months. The common pathogens in infants <3 months of age are Escherichia coli and Streptococcus agalactiae, and the dominant pathogen in infant ≥3 months is Streptococcus pneumoniae. Subdural effusion and (or) empyema and hydrocephalus are common complications. ABM should not be excluded even if CSF white blood cell counts is within normal range. Standardized bacteriological examination should be paid more attention to increase the pathogenic detection rate. Non-culture CSF detection methods may facilitate the pathogenic diagnosis.
		                        		
		                        		
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Brain Abscess
		                        			;
		                        		
		                        			Child
		                        			;
		                        		
		                        			Child, Preschool
		                        			;
		                        		
		                        			Escherichia coli
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Hydrocephalus
		                        			;
		                        		
		                        			Infant
		                        			;
		                        		
		                        			Infant, Newborn
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Meningitis, Bacterial/epidemiology*
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Streptococcus agalactiae
		                        			;
		                        		
		                        			Streptococcus pneumoniae
		                        			;
		                        		
		                        			Subdural Effusion
		                        			;
		                        		
		                        			beta-Lactamases
		                        			
		                        		
		                        	
9.Urinary Creatinine Concentrations and Its Explanatory Variables in General Chinese Population: Implications for Creatinine Limits and Creatinine Adjustment.
Sai Sai JI ; Yue Bin LYU ; Ying Li QU ; Xiao Jian HU ; Yi Fu LU ; Jun Fang CAI ; Shi Xun SONG ; Xu ZHANG ; Ying Chun LIU ; Yan Wei YANG ; Wen Li ZHANG ; Ya Wei LI ; Ming Yuan ZHANG ; Chen CHEN ; Cheng Cheng LI ; Zheng LI ; Heng GU ; Ling LIU ; Jia Yi CAI ; Tian QIU ; Hui FU ; S John JI ; Feng ZHAO ; Ying ZHU ; Zhao Jin CAO ; Xiao Ming SHI
Biomedical and Environmental Sciences 2022;35(10):899-910
		                        		
		                        			OBJECTIVE:
		                        			The study aimed to analyze the applicability of the World Health Organization's exclusionary guidelines for Urinary creatinine (Ucr) in the general Chinese population, and to identify Ucr related factors.
		                        		
		                        			METHODS:
		                        			We conduct a cross-sectional study using baseline data from 21,167 participants in the China National Human Biomonitoring Program. Mixed linear models and restricted cubic splines (RCS) were used to analyze the associations between explanatory variables and Ucr concentration.
		                        		
		                        			RESULTS:
		                        			The geometric mean and median concentrations of Ucr in the general Chinese population were 0.90 g/L and 1.01 g/L, respectively. And 9.36% samples were outside 0.3-3.0 g/L, including 7.83% below the lower limit and 1.53% above the upper limit. Middle age, male, obesity, smoking, higher frequency of red meat consumption and chronic kidney disease were associated significantly with higher concentrations of Ucr. Results of the RCS showed Ucr was positively and linearly associated with body mass index, inversely and linearly associated with systolic blood pressure, diastolic blood pressure, triglycerides level, and glomerular filtration rate, and were non-linearly associated with triiodothyronine.
		                        		
		                        			CONCLUSION
		                        			The age- and gender-specific cut-off values of Ucr that determine the validity of urine samples in the general Chinese population were recommended. To avoid introducing bias into epidemiologic associations, the potential predictors of Ucr observed in the current study should be considered when using Ucr to adjust for variations in urine dilution.
		                        		
		                        		
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Creatinine
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			Asian People
		                        			;
		                        		
		                        			Glomerular Filtration Rate
		                        			;
		                        		
		                        			China
		                        			
		                        		
		                        	
10.Association of blood lead and blood selenium with serum high-sensitivity C-reactive protein among Chinese adults aged 19 to 79 years.
Sai Sai JI ; Yue Bin LYU ; Feng ZHAO ; Ying Li QU ; Zheng LI ; Ya Wei LI ; Shi Xun SONG ; Wen Li ZHANG ; Ying Chun LIU ; Jia Yi CAI ; Hao Can SONG ; Dan Dan LI ; Bing WU ; Yang LIU ; Xu Lin ZHENG ; Jun Ming HU ; Ying ZHU ; Zhao Jin CAO ; Xiao Ming SHI
Chinese Journal of Epidemiology 2022;43(2):195-200
		                        		
		                        			
		                        			Objective: To investigate the association of blood lead and blood selenium with serum high-sensitivity C-reactive protein (hs-CRP) among Chinese adults aged 19 to 79 years. Methods: The participants were enrolled from the first wave of China National Human Biomonitoring (CNHBM) conducted from 2017 to 2018. 10 153 participants aged 19 to 79 years were included in this study. Fasting blood samples were obtained from participants. Lead and selenium in whole blood and hs-CRP in serum were measured. Individuals with hs-CRP levels above 3.0 mg/L were defined as elevated hs-CRP. Generalized linear mixed models and restricted cubic spline models were used to analyze the association of blood lead and blood selenium with elevated hs-CRP. Logistic regression models were used to analyze the multiplicative scale and additive scale interaction between blood lead and blood selenium on elevated hs-CRP. Results: The age of participants was (48.91±15.38) years, of which 5 054 (61.47%) were male. 1 181 (11.29%) participants were defined as elevated hs-CRP. After multivariable adjustment, results from generalized linear models showed that compared with participants with the lowest quartile of blood lead, the OR (95%CI) of elevated hs-CRP for participants with the second, third, and highest quartiles were 1.14 (0.94-1.37), 1.25 (1.04-1.52) and 1.38 (1.13-1.68), respectively. When compared with participants with the lowest quartile of blood selenium, the OR (95%CI) of elevated hs-CRP for participants with the second, third and highest quartiles were 0.86 (0.72-1.04), 0.91 (0.76-1.11), and 0.75 (0.61-0.92), respectively. Results from the interaction analysis showed no significant interaction between lead and selenium on elevated hs-CRP. Conclusion: Blood concentration of lead was positively associated with elevated serum hs-CRP, and blood concentration of selenium was inversely related to elevated hs-CRP, while blood lead and selenium did not present interaction on elevated hs-CRP.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Asians
		                        			;
		                        		
		                        			Biomarkers
		                        			;
		                        		
		                        			C-Reactive Protein/analysis*
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Selenium
		                        			;
		                        		
		                        			Young Adult
		                        			
		                        		
		                        	
            
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