1.Application of fluorescence in situ hybridization on archived bone marrow smears in retrospective diagnosis of hematologic malignancies.
Tong WANG ; Wei CAO ; Ying YIN ; Yan ZHANG ; Qiong-jie ZHANG ; Chun-fang WANG ; Huan-huan LI ; Hong-xing LIU ; Chun-rong TONG
Chinese Journal of Hematology 2013;34(11):974-976
2.Prospective monitoring and control for missing reporting of healthcare-associated infection cases
Hui WANG ; Yu LV ; Qian XIANG ; Min-Hong CAI ; Dao-Qiong WEI ; Jia-Yu WU ; Zhong-Hua ZHOU ; Chen WANG ; Hua LIU
Chinese Journal of Infection Control 2018;17(11):1022-1025
Objective To explore the prospective monitoring and control methods for missing reporting of health-care-associated infection(HAI)cases,analyze its implementation efficacy,provide basis for formulating targeted strategy for monitoring missing report of HAI.Methods From January 2016 to June 2017,the quality control circle (QCC)method was used to prospectively monitor HAI cases in hospitalized patients,missing reporting of HAI was controlled.Results "Information system intelligence screening+mobile messaging alerts+ HAI supervision"trinity monitoring model for avoid missing reporting of HAI cases was established,after the first round of PDCA(plan, do,check,action)cycle,missing reporting rate of HAI decreased from 79.16% before QCC to 59.75% after QCC, difference was statistically significant (χ2=208.821,P=0.000).Compared with missing reporting rate of HAI af-ter the first round of PDCA,missing reporting rate of HAI after the second round of PDCA dropped to 26.18%, difference was statistically significant (χ2=200.075,P=0.002).Conclusion Active prospective prevention and control before missing reporting of HAI can effectively avoid missing reporting of HAI cases.
3.Characteristics of the populations defined by different criteria of the metabolism syndrome.
Gu WEI-QIONG ; Hong JIE ; Zhang YI-FEI ; Gui MING-HUI ; Xu MIN ; Shen CHUN-FANG ; Wang WEI-QING ; Ning GUANG ; Chen MING-DAO
Acta Academiae Medicinae Sinicae 2006;28(6):750-755
OBJECTIVETo compare the characteristics of over weight and obesity subjects defined by three criteria: World Health Organization (WHO) in 1999, the National Cholesterol Education Program Adult Treatment Panel Nll (NCEP-ATP II ) in 2001, and the International Diabetes Federation (IDF) in 2005.
METHODSMedical history collection, physical examination, oral glucose tolerance test ( OGTT) , and frequently sampled intravenous glucose tolerance test (FSIGTT) were performed in 371 subjects with body mass index (BMI)> or =23 kg/m(2). Fasting blood samples were taken to test lipid profiles, urea acid level and so on. Data was analyzed including comparison and relationship statistics.
RESULTSData from FSIGTT showed that insulin resistance existed in all over weight and obesity subjects. The relationship between waist and sensitivity index (SI) was superior than that between BMI and SI ( r = - 0. 198 and r = - 0. 194, P < 0. 001). Totally 107 subjects (28. 8%) did not meet any definitions, 187 (50. 4%) met ATP definition, 98 (26. 4%) met WHO definition, and 234 (63. 1% ) met IDF definition. ATP and IDF definitions had the highest coincidence rate (70. 3% ) , and subjects in these two groups almost had basically the same manifestations. The age of onset in WHO group was higher than those in other two groups. Meanwhile, subjects in the WHO group was characterized by lower BMI, higher hyperlipidemia, and significantly increased fasting and postprandial blood glucose level. The MS component scores were positively correlated with age, BMI, waist, and waist-to-hip ratio (WHR) , and were negatively correlated with SI. However, no correlation was found between MS component scores and gender, fat% , or acute insulin response to glucose index.
CONCLUSIONSSome of over weight and obesity subjects only have insulin resistance and have no metabolism syndrome. The group defined by IDF criteria of the metabolic syndrome (MS) has the highest incidence rate. Limited by the requirements of insulin resistance evaluation, the definition proposed by WHO is somewhat unfeasible for practices. ATP definition may be replaced by IDF definition, because the populations defined by ATP definition is covered by the latter. Meanwhile, the abnormalities of fat mass distribution in the body ( i. e. , central obesity) , rather than its contents, may exacerbate the occurrence of MS, as well as the development of insulin resistance.
Adolescent ; Adult ; Aged ; Body Mass Index ; China ; epidemiology ; Female ; Glucose Tolerance Test ; Humans ; Insulin Resistance ; Male ; Metabolic Syndrome ; complications ; diagnosis ; epidemiology ; Middle Aged ; Obesity ; complications ; Waist-Hip Ratio
4.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
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Brain Abscess
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Child
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Child, Preschool
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Escherichia coli
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Female
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Humans
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Hydrocephalus
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Infant
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Infant, Newborn
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Male
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Meningitis, Bacterial/epidemiology*
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Retrospective Studies
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Streptococcus agalactiae
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Streptococcus pneumoniae
;
Subdural Effusion
;
beta-Lactamases