1.Analysis of Current Situation and Influencing Factors of Digital Health Literacy of the Elderly in Shanghai
Hui WAN ; Jun PENG ; Hongxia WEN ; Yuhang ZHANG ; Ying XU ; Chunguang GU ; Ronghui ZHU ; Cheng WU
Journal of Medical Informatics 2024;45(10):53-58
Purpose/Significance To investigate and analyze the current status and influencing factors of digital health literacy(DHL)of the elderly,and to provide references for relevant departments.Method/Process The eHEALS scale is used to investigate the DHL status of 419 elderly people aged 60 and above in Shanghai through convenience sampling,and the influencing factors are explored through binary logistic regression analysis.Result/Conclusion Low education,smoking,and health anxiety are risk factors,while regular physical exami-nation is protective factor.Relevant departments should focus on the elderly people with lower education,and strengthen research and edu-cation on health examinations,smoking hazards,and the alleviation of anxiety.
2.Information management of blood glucose of perioperative patients in a public hospital
Tingting WU ; Xuemei GU ; Xueqin LU ; Wenzheng SHI ; Lianxu WEI ; Hongxia WANG
Chinese Journal of Hospital Administration 2024;40(9):718-722
Information construction helps hospitals to accurately manage the blood glucose levels of hospitalized patients and improve the quality and safety of medical care. In July 2022, a large tertiary public hospital launched an information management of perioperative patient blood glucose. By establishing a multidisciplinary support and information management team, building an information-based blood glucose management system, establishing standardized management processes, implementing automatic hierarchical blood glucose warning, blood glucose critical value warning and control, abnormal blood glucose consultation, and insulin pump management, the hospital had achieved the information sharing of blood glucose perioperative patients, as well as timely warning and handling of abnormal blood glucose, ensuring patient safety. As of June 2023, the hospital had deployed a total of 364 intelligent blood glucose meters in clinical departments, and monitored blood glucose levels for 12 216 perioperative patients. The blood glucose compliance rate of perioperative patients increased from 81.81% in July 2022 to 82.95% in June 2023. This practice brought convenience to the work of clinical departments, improved the overall quality of medical services in hospitals, and could provide references for other hospitals to carry out blood glucose information management.
3.Multicenter study on the etiology characteristics of neonatal purulent meningitis
Yanli LIU ; Jiaojiao CAI ; Xiaoyi ZHANG ; Minli ZHU ; Zhenlang LIN ; Yicong PAN ; Junhu ZHENG ; Yiwei ZHAO ; Xiang WANG ; Hongping LU ; Meifang LIN ; Ji WANG ; Haihong GU ; Lizhen WANG ; Keping CHENG ; Yuxuan DAI ; Yuan GAO ; Junsheng LI ; Hongxia FANG ; Na SUN ; Lihua LI ; Xiaoquan LI ; Ying LIU ; Yingyu LI ; Wa GAO ; Minxia LI
Chinese Journal of Infectious Diseases 2023;41(6):393-400
Objective:To study the distribution and antibiotics resistance of the main pathogens of neonatal purulent meningitis in different regions of China.Methods:A retrospective descriptive clinical epidemiological study was conducted in children with neonatal purulent meningitis which admitted to 18 tertiary hospitals in different regions of China between January 2015 to December 2019. The test results of blood and cerebrospinal fluid, and drug sensitivity test results of the main pathogens were collected. The distributions of pathogenic bacteria in children with neonatal purulent meningitis in preterm and term infants, early and late onset infants, in Zhejiang Province and other regions outside Zhejiang Province, and in Wenzhou region and other regions of Zhejiang Province were analyzed. The chi-square test was used for statistical analysis.Results:A total of 210 neonatal purulent meningitis cases were collected. The common pathogens were Escherichia coli ( E. coli)(41.4%(87/210)) and Streptococcus agalactiae ( S. agalactiae)(27.1%(57/210)). The proportion of Gram-negative bacteria in preterm infants (77.6%(45/58)) with neonatal purulent meningitis was higher than that in term infants (47.4%(72/152)), and the difference was statistically significant ( χ2=15.54, P=0.001). There were no significant differences in the constituent ratios of E. coli (36.5%(31/85) vs 44.8%(56/125)) and S. agalactiae (24.7%(21/85) vs 28.8%(36/125)) between early onset and late onset cases (both P>0.05). The most common pathogen was E. coli in different regions, with 46.7%(64/137) in Zhejiang Province and 31.5%(23/73) in other regions outside Zhejiang Province. In Zhejiang Province, S. agalactiae was detected in 49 out of 137 cases (35.8%), which was significantly higher than other regions outside Zhejiang Province (11.0%(8/73)). The proportions of Klebsiella pneumoniae, and coagulase-negative Staphylococcus in other regions outside Zhejiang Province (17.8%(13/73) and 16.4%(12/73)) were both higher than those in Zhejiang Province (2.9%(4/137) and 5.1%(7/137)). The differences were all statistically significant ( χ2=14.82, 12.26 and 7.43, respectively, all P<0.05). The proportion of Gram-positive bacteria in Wenzhou City (60.8%(31/51)) was higher than that in other regions in Zhejiang Province (38.4%(33/86)), and the difference was statistically significant ( χ2=6.46, P=0.011). E. coli was sensitive to meropenem (0/45), and 74.4%(32/43) of them were resistant to ampicillin. E. coli had different degrees of resistance to other common cephalosporins, among which, cefotaxime had the highest resistance rate of 41.8%(23/55), followed by ceftriaxone (32.4%(23/71)). S. agalactiae was sensitive to penicillin, vancomycin and linezolid. Conclusions:The composition ratios of pathogenic bacteria of neonatal purulent meningitis are different in different regions of China. The most common pathogen is E. coli, which is sensitive to meropenem, while it has different degrees of resistance to other common cephalosporins, especially to cefotaxime.
4.Association of glucose metabolism with adverse pregnancy outcomes in pregnant women of Chongming area
Yin XING ; Hongxia GU ; Yuli HUANG ; Hui HUANG ; Yiming WU ; Li QIN
Chinese Journal of Endocrinology and Metabolism 2022;38(10):848-853
Objective:To investigate the risk factors of hyperglycemia during pregnancy and its correlation with adverse pregnancy outcomes based on the retrospective analysis of glucose metabolism of pregnant women in Chongming area.Methods:A total of 604 singleton pregnant women who underwent prenatal examination and delivered normally in the Chongming branch of Xinhua Hospital from September 2019 to May 2021 were enrolled in the study. All subjects were divided into normal glucose tolerance gestation (NGTG) group and gestational diabetes mellitus (GDM) group. Pregnant women whose blood glucose exceeded normal but did not meet the diagnostic criteria of GDM were classified into the intermediate state gestational blood glucose (ISGBG) group. Questionnaire, physical examination, and relevant laboratory tests were completed. Data were analyzed using the Statistical Product and Service Solutions 13.0 (SPSS, Chicago, IL).Results:The incidence rate of GDM was 20.86% (126/604), ISGBG was 40.39% (244/604), and NGTG was 38.74% (234/604) in 604 pregnant women. Multivariate logistic regression analysis showed that gestational age ( OR=1.092, P<0.001), serum triglyceride ( OR=1.625, P=0.001) and free T 3 levels ( OR=1.995, P=0.002) were independent risk factors for GDM. The incidence of pregnancy-induced hypertension, cesarean section, macrosomia, the total incidence of adverse pregnancy outcomes and fetal birth weight in ISGBG and GDM were significantly higher than those in NGTG ( P<0.05 or P<0.01). Conclusion:The incidence of GDM in Chongming area is high, especially higher in that of ISGBG. As both GDM and ISGBG lead to increased adverse pregnancy outcomes, early monitoring should be paid more attention to pregnant women in ISGBG in addition to the early intervention of GDM.
5.Design, synthesis and anti-platelet aggregation activity of paeonol oxime derivatives
Weiguo DAI ; Hongzhou TAN ; Hongxia GU ; Bing HE ; Liqin HE ; Peng HUANG
Journal of China Pharmaceutical University 2022;53(5):535-541
In order to afford new antiplatelet agents with higher potency, a series of paeonol oxime derivatives (4a-4y) were designed and synthesized from paeonol.Their structures were confirmed by HRMS, 1H NMR spectra.The anti-platelet aggregation activity of the target compounds was evaluated.The results revealed that most of them had moderate to good anti-platelet aggregation activity.Among them, compound 4h and 4j were the most potent on adenosine diphosphate (ADP)-induced platelet aggregation and collagen-induced platelet aggregation. Furthermore, the target compound 4h not only showed strong antiplatelet aggregation activity, but also exhibited good water-solubility and drug-like properties, which can be used as a new antiplatelet active compound for further research.
6.BRICS report of 2020: The bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Yuanyuan DAI ; Jiliang WANG ; Haifeng MAO ; Hui DING ; Yongyun LIU ; Yizheng ZHOU ; Hong LU ; Youdong YIN ; Yan JIN ; Hongyun XU ; Lixia ZHANG ; Lu WANG ; Haixin DONG ; Zhenghai YANG ; Fenghong CHEN ; Donghong HUANG ; Guolin LIAO ; Pengpeng TIAN ; Dan LIU ; Yan GENG ; Sijin MAN ; Baohua ZHANG ; Ying HUANG ; Liang GUO ; Junmin CAO ; Beiqing GU ; Yanhong LI ; Hongxia HU ; Liang LUAN ; Shuyan HU ; Lin ZHENG ; Aiyun LI ; Rong XU ; Kunpeng LIANG ; Zhuo LI ; Donghua LIU ; Bo QUAN ; Qiang LIU ; Jilu SHEN ; Yiqun LIAO ; Hai CHEN ; Qingqing BAI ; Xiusan XIA ; Shifu WANG ; Jinhua LIANG ; Liping ZHANG ; Yinqiao DONG ; Xiaoyan QI ; Jianzhong WANG ; Xuefei HU ; Xiaoping YAN ; Dengyan QIAO ; Ling MENG ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(6):413-426
Objective:To investigate the bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China.Methods:The clinical bacterial strains isolated from blood culture were collected during January 2020 to December 2020 in member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS). Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute(CLSI, USA). WHONET 5.6 was used to analyze data.Results:During the study period, 10 043 bacterial strains were collected from 54 hospitals, of which 2 664 (26.5%) were Gram-positive bacteria and 7 379 (73.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (38.6%), Klebsiella pneumoniae (18.4%), Staphylococcus aureus (9.9%), coagulase-negative Staphylococci (7.5%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.3%), Enterobacter cloacae (2.8%), Enterococcus faecalis (2.6%), Acinetobacter baumannii (2.4%) and Klebsiella spp (1.8%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 27.6% and 74.4%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci were detected. More than 95% of Staphylococcus aureus were sensitive to rifampicin and SMZco. No vancomycin-resistant Enterococci strains were detected. Extended spectrum β-lactamase (ESBL) producing Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 48.4%, 23.6% and 36.1%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.3% and 16.1%, respectively; 9.6% of carbapenem-resistant Klebsiella pneumoniae strains were resistant to ceftazidime/avibactam combination. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii. The prevalence rate of carbapenem-resistance of Pseudomonas aeruginosa was 23.2%. Conclusions:The surveillance results in 2020 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen, and ESBL-producing strains declined while carbapenem-resistant Klebsiella pneumoniae kept on high level. The proportion and the prevalence of carbapenem-resistant Pseudomonas aeruginosa were on the rise slowly. On the other side, the MRSA incidence got lower in China, while the overall prevalence of vancomycin-resistant Enterococci was low.
7.Comparing the clinical characteristics and prognosis of seropositive and seronegative rheumatoid arthritis patients in China: a real-world study
Yehua JIN ; Ting JIANG ; Xiaolei FAN ; Rongsheng WANG ; Yuanyuan ZHANG ; Peng CHENG ; Yingying QIN ; Mengjie HONG ; Mengru GUO ; Qingqing CHENG ; Zhaoyi LIU ; Runrun ZHANG ; Cen CHANG ; Lingxia XU ; Linshuai XU ; Ying GU ; Chunrong HU ; Xiao SU ; Luan XUE ; Yongfei FANG ; Li SU ; Mingli GAO ; Jiangyun PENG ; Qianghua WEI ; Jie SHEN ; Qi ZHU ; Hongxia LIU ; Dongyi HE
Chinese Journal of Rheumatology 2021;25(5):307-315
Objective:In general, patients with seropositive rheumatoid arthritis (RA) are considered to show an aggressive disease course. However, the relationship between the two subgroups in disease severity is controversial. Our study is aimed to compare the clinical characteristics and prognosis of double-seropositive and seronegative RA in China through a real-world large scale study.Methods:RA patients who met the 1987 American College of Rheumatology (ACR) classification criteria or the 2010 ACR/European Anti-Rheumatism Alliance RA classification criteria, and who attended the 10 hospitals across the country from September 2015 to January 2020, were enrolled. According to the serological status, patients were divided into 4 subgroups [rheumatoid factor (RF)(-) anti-cyclic citrullinated peptide (CCP) antibody (-), RF(+), RF(+) anti-CCP antibody(+), anti-CCP antibody(+)] and compared the disease characteristics and treatment response. One-way analysis of variance was used for measurement data that conformed to normal distribution, Kruskal-Wallis H test was used for measurement data that did not conform to normal distribution; paired t test was used for comparison before and after treatment within the group if the data was normally distributed else paired rank sum test was used; χ2 test was used for count data. Results:① A total of 2 461 patients were included, including 1 813 RF(+) anti-CCP antibody(+) patients (73.67%), 129 RF(+) patients (5.24%), 245 RF(-) anti-CCP antibody(-) patients (9.96%), 74 anti-CCP antibody(+) patients (11.13%). ② Regardless of the CCP status, RF(+) patients had an early age of onset [RF(-) anti-CCP antibody(-) (51±14) years old, anti-CCP antibody(+) (50±15) years old, RF(+) anti-CCP antibody(+) (48±14) years old, RF(+)(48±13) years old, F=3.003, P=0.029], longer disease duration [RF(-) anti-CCP antibody(-) 50 (20, 126) months, anti-CCP antibody(+) 60(24, 150) months, RF(+) anti-CCP antibody(+) 89(35, 179) months, RF(+) 83(25, 160) months, H=22.001, P<0.01], more joint swelling counts (SJC) [RF(-) anti-CCP antibody(-) 2(0, 6), Anti-CCP antibody(+) 2(0, 5), RF(+) anti-CCP antibody(+) 2(0, 7), RF(+) 2(0, 6), H=8.939, P=0.03] and tender joint counts (TJC) [RF(-) anti-CCP antibody(-) 3(0, 8), anti-CCP antibody(+) 2(0, 6), RF(+) anti-CCP antibody(+) 3(1, 9), RF(+) 2(0, 8), H=11.341, P=0.01] and the morning stiff time was longer [RF(-) anti-CCP antibody(-) 30(0, 60) min, anti-CCP antibody(+) 20(0, 60) min, RF(+) anti-CCP antibody(+) 30(10, 60) min, RF(+) 30(10, 60) min, H=13.32, P<0.01]; ESR [RF(-) anti-CCP antibody(-) 17(9, 38) mm/1 h, anti-CCP antibody(+) 20(10, 35) mm/1 h, RF(+) anti-CCP antibody(+) 26(14, 45) mm/1 h, RF(+) 28(14, 50) mm/1 h, H=37.084, P<0.01] and CRP [RF(-) anti-CCP antibody(-) 2.3 (0.8, 15.9) mm/L, Anti-CCP antibody(+) 2.7(0.7, 12.1) mm/L, RF(+) anti-CCP antibody(+) 5.2(1.3, 17.2) mm/L, RF (+) 5.2(0.9, 16.2) mm/L, H=22.141, P<0.01] of the RF(+)patients were significantly higher than RF(-) patients, and RF(+) patients had higher disease severity(DAS28-ESR) [RF(-) anti-CCP antibody(-) (4.0±1.8), anti-CCP antibody(+) (3.8±1.6), RF(+) anti-CCP antibody(+) (4.3±1.8), RF(+) (4.1±1.7), F=7.269, P<0.01]. ③ The RF(+) anti-CCP antibody(+) patients were divided into 4 subgroups, and it was found that RF-H anti-CCP antibody-L patients had higher disease severity [RF-H anti-CCP antibody-H 4.3(2.9, 5.6), RF-L anti-CCP antibody-L 4.5(3.0, 5.7), RF-H anti-CCP antibody-L 4.9(3.1, 6.2), RF-L anti-CCP antibody-H 2.8(1.8, 3.9), H=20.374, P<0.01]. ④ After 3-month follow up, the clinical characteristics of the four groups were improved, but there was no significant difference in the improvement of the four groups, indicating that the RF and anti-CCP antibody status did not affect the remission within 3 months. Conclusion:Among RA patients, the disease activity of RA patients is closely related to RF and the RF(+) patients have more severe disease than RF(-) patients. Patients with higher RF titer also have more severe disease than that of patients with low RF titer. After 3 months of medication treatment, the antibody status does not affect the disease remission rate.
8.BRICS report of 2018-2019: the distribution and antimicrobial resistance profile of clinical isolates from blood culture in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Peipei WANG ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Hui DING ; Yongyun LIU ; Haifeng MAO ; Ying HUANG ; Zhenghai YANG ; Yuanyuan DAI ; Guolin LIAO ; Lisha ZHU ; Liping ZHANG ; Yanhong LI ; Hongyun XU ; Junmin CAO ; Baohua ZHANG ; Liang GUO ; Haixin DONG ; Shuyan HU ; Sijin MAN ; Lu WANG ; Zhixiang LIAO ; Rong XU ; Dan LIU ; Yan JIN ; Yizheng ZHOU ; Yiqun LIAO ; Fenghong CHEN ; Beiqing GU ; Jiliang WANG ; Jinhua LIANG ; Lin ZHENG ; Aiyun LI ; Jilu SHEN ; Yinqiao DONG ; Lixia ZHANG ; Hongxia HU ; Bo QUAN ; Wencheng ZHU ; Kunpeng LIANG ; Qiang LIU ; Shifu WANG ; Xiaoping YAN ; Jiangbang KANG ; Xiusan XIA ; Lan MA ; Li SUN ; Liang LUAN ; Jianzhong WANG ; Zhuo LI ; Dengyan QIAO ; Lin ZHANG ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(1):32-45
Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2018 to December 2019. Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 14 778 bacterial strains were collected from 50 hospitals, of which 4 117 (27.9%) were Gram-positive bacteria and 10 661(72.1%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.2%), Klebsiella pneumoniae (17.0%), Staphylococcus aureus (9.7%), coagulase-negative Staphylococci (8.7%), Pseudomonas aeruginosa (3.7%), Enterococcus faecium (3.4%), Acinetobacter baumannii(3.4%), Enterobacter cloacae (2.9%), Streptococci(2.8%) and Enterococcus faecalis (2.3%). The the prevalence of methicillin-resistant S. aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus were 27.4% (394/1 438) and 70.4% (905/1 285), respectively. No glycopeptide-resistant Staphylococcus was detected. More than 95% of S. aureus were sensitive to amikacin, rifampicin and SMZco. The resistance rate of E. faecium to vancomycin was 0.4% (2/504), and no vancomycin-resistant E. faecalis was detected. The ESBLs-producing rates in no carbapenem-resistance E. coli, carbapenem sensitive K. pneumoniae and Proteus were 50.4% (2 731/5 415), 24.6% (493/2001) and 35.2% (31/88), respectively. The prevalence of carbapenem-resistance in E. coli and K. pneumoniae were 1.5% (85/5 500), 20.6% (518/2 519), respectively. 8.3% (27/325) of carbapenem-resistance K. pneumoniae was resistant to ceftazidime/avibactam combination. The resistance rates of A. baumannii to polymyxin and tigecycline were 2.8% (14/501) and 3.4% (17/501) respectively, and that of P. aeruginosa to carbapenem were 18.9% (103/546). Conclusions:The surveillance results from 2018 to 2019 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while E. coli was the most common pathogen, and ESBLs-producing strains were in majority; the MRSA incidence is getting lower in China; carbapenem-resistant E. coli keeps at a low level, while carbapenem-resistant K. pneumoniae is on the rise obviously.
9.Bronchiolar adenoma: a clinicopathological analysis of 15 cases
He GAO ; Xiaoliu DU ; Chunni CHEN ; Guoxin SONG ; Yilu GU ; Hongxia LI
Chinese Journal of Pathology 2020;49(6):556-561
Objective:To study the clinicopathological characteristics, diagnosis and differential diagnosis of bronchiolar adenoma (BA).Methods:Fifteen cases of BA were collected from the First Affiliated Hospital of Nanjing Medical University, from January 2016 to October 2019. The clinical data, imaging examination, morphology, immunostaining and molecular changes were retrospectively analyzed.Results:There were 3 males, 12 females, most of the patients were female, mainly in middle-aged to elderly (51-77 years). Three had smoking history. The patients usually had no clinical symptoms. Imaging findings were ground-glass and/or lobulated nodules. Grossly, the tumors were gray-whitish, taupe solid or focally microcystic nodules with distinct boundary but no capsule. The maximum diameter was 0.4-2.5?cm (mean 1.0?cm). Histologically, there were glandular, papillary, or flat patterns that were composed of basal cells, mucous cells, ciliated cells and type Ⅱ pneumocytes, some of which showed basal cell proliferation and squamous cell metaplasia. However, there were some cases with few or even without mucous and/or ciliated cells. Immunostaining highlighted the continuous basal cell layer (positive for p63, p40 and cytokeratin 5/6), which was the most important diagnostic evidence. Genetic tests did not show mutation in BRAF or EGFR genes. All patients were followed up for 1-41 months, and they were without recurrence or metastasis.Conclusions:BA is a benign neoplasm that develops in the peripheral lung with good prognosis. Definite diagnosis is very crucial for surgical treatment, especially in frozen consultation. Immunohistochemistry will be helpful if necessary.
10. Epidemiological status of metabolic syndrome and its correlation with renal damage in Shanghai Chongming rural areas
Jie YANG ; Shuai LU ; Hongxia GU ; Qun SHI ; Li QIN
Chinese Journal of Endocrinology and Metabolism 2019;35(9):747-751
Objective:
To investigate the prevalence of metabolic syndrome in adults in Shanghai Chongming area and to analyze the relationship between metabolic syndrome and chronic kidney disease.
Methods:
A total of 7 679 residents aged 30 years and over in Chongming District of Shanghai were randomly sampled and investigated by questionnaires, physical examinations, and laboratory examinations. The metabolic syndrome was diagnosed by the diagnostic criteria of metabolic syndrome according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes in 2017. According to the criteria of the International Society of Nephrology Working Group on Improving the Overall Prognosis of Kidney Diseases, estimated glomerular filration rate (eGFR)<60 ml·min-1·(1.73 m2)-1 was diagnosed as chronic kidney disease.
Results:
The prevalence of metabolic syndrome was 38.61% in the total population. The prevalence of metabolic syndrome was 47.06% in males and 34.71% in females. Urinary albumin-creatinine ratio (ACR), eGFR, age, smoking, waist circumference, blood glucose, blood pressure, high density lipoprotein-cholesterol and triglyceride in metabolic syndrome group were significantly higher than those in non- metabolic syndrome group. With the increase of metabolic components, eGFR decreased, and ACR increased. According to logistic regression analysis, age, male, hyperglycemia, hypertension, hypertriglyceride were risk factors for eGFR. Male, hypertension, hyperglycemia, hypertriglyceride, central obesity, smoking history, lower education level were risk factors for ACR.
Conclusion
The number of metabolic components is related to renal damage. Male, hypertension, hyperglycemia, hypertriglyceride are risk factors for early renal damage.

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