1.Epidemic Status of Acinetobacter ssp. in Lower Respiratory Tract Infection and Their Drug Resistance
Yanli WANG ; Mao HUANG ; Yaning MEI ; Hao LIU
Chinese Journal of Nosocomiology 2009;0(13):-
OBJECTIVE To investigate the epidemic situation of Acinetobacter in lower respiratory tract infection and their drug resistance,in order to provide evidence for clinical anti-infection therapy. METHODS The data of Acinetobacter from the sputum specimens of inpatients in our hospital with lower respiratory tract infection during 2006-2007 were collected and analyzed with the software the software WHONET5.4. RESULTS Among all pathogens in lower respiratory tract infection,Acinetobacter accounted for 9.2% in 2006 and 7.4% in 2007,the rate in deparment of neurosurgery,surgical ICU and respiratory ICU was higher. Acinetobacter had the highest susceptible rate to imipenem and were also susceptible to meropenem and cefoperazone/sulbactam. However,Acinetobacter had higher resistant rate to imipenem and meropenem while higher susceptible rate to cefoperazone/sulbactam in 2007 than in 2006. The susceptible rate of Acinetobacter to the third and forth generation cephalosporins,amikacin,levofloxacin and aztreonam was lower than 50%. CONCLUSIONS The drug resistance mechanism of Acinetobacter is so complicated that many kinds of drugs prove poorly effective. Carbopenems are recommended when single drug is utilized and drug combination based on the clinical and laboratory information can be tried.
2.Analysis of the current status and regulatory effectiveness of daylighting and artificial lighting in primary and secondary school classrooms in Shanghai
YANG Jianping,LIN Jianhai,LI Ping,ZHENG Chaojun,WANG Yaning,LIU Jiajia,MAO Jie
Chinese Journal of School Health 2024;45(6):780-783
Objective:
To understand the current situation and regulatory effectiveness of daylighting and artificial lighting in primary and secondary school classrooms in Shanghai, so as to provide a basis for enhancing the visual environment of school classrooms.
Methods:
From April 2021 to December 2023, the daylighting and artificial lighting conditions of classrooms in 1 735 regular primary and secondary schools currently in operation in Shanghai were monitored, and the qualified rate of each indicator was calculated. The Chisquare test or Fisher exact probability method were used to compare the differences in qualification rates across different educational stages, regions, school type, both before and after the implementation of regulatory measures. The regulatory measures included convene interview, propaganda and education, supervision order, supervisory opinion paper, rectification requests and offenses and punishment.
Results:
The qualified rate of daylighting and artificial lighting in primary and secondary school classrooms was 30.1%, with a qualified daylighting rate of 85.6% and a qualified artificial lighting rate of 32.9%. There was no statistically significant differences in the qualified rate of daylighting and artificial lighting in primary and secondary schools (32.4%,28.1%;χ2=3.76,P>0.05). However, statistically significant differences were found in the qualified rate of daylighting and artificial lighting in urban and rural school classrooms (32.6%,26.7%), as well as in public and private schools (31.4%, 20.6%) (χ2=6.99,9.92,P<0.05). Following the implementation of regulatory measures, the qualified rate of classroom daylighting and artificial lighting improved from 30.1% to 83.2%, while the respective qualified rates of daylighting and artificial lighting increased from 85.6% to 91.1% and 32.9% to 90.5%. Compared to the preimplementation period, the qualified rate of classroom daylighting and artificial lighting, as well as the respective rates of daylighting and artificial lighting, all showed statistically significant differences after the implementation of regulatory measures (χ2=995.29,25.34,1 219.87,P<0.01).
Conclusions
Effective regulatory measures can promote enhanced classroom daylighting and artificial lighting. Attention should be paid to improving classroom artificial lighting, in order to provide students with enhanced visual environment.
3.Application of self-organizing maps in the design of longevity genetic research: sample selection in a nested case-control study
Zhenping ZHAO ; Yan LI ; Limin WANG ; Mei ZHANG ; Zhengjing HUANG ; Detao ZHANG ; Jiangmei LIU ; Fan MAO ; Yuchang ZHOU ; Yaning LIU ; Chao NIE ; Maigeng ZHOU
Chinese Journal of Epidemiology 2023;44(2):326-334
Objective:To improve the longevity genetic research study design by applying self-organizing maps to select a control group for longevity study.Methods:This study included the Han population aged 90 years and above or less than 80 years who have died (control group) from the natural population-based cohort formed by the fusion of the Chinese Chronic Diseases and Risk Factors Surveillance in 2013 and the China Death Surveillance System. The subjects who died of injury, infectious diseases, parasitic diseases, and malignant tumors were excluded. The self-organizing maps method, with multiple iterations and self-organizing clustering, was used to select similar factors among the population aged 90 years and above and the control group, including demographic characteristics, diseases, living habits, social behaviors, and mental and psychological factors. The study used PLINK 1.9 software to evaluate the quality of whole genome sequencing and to conduct logistic regression of single nucleotide polymorphisms (SNPs) and longevity on autosomes. Q-Q plots were used to visualize the P value associated with SNPs and longevity. Results:There were 1 019 samples selected from the baseline of 177 099 survey participants for genome sequencing, including 517 in the longevity group and 502 in the control group. The longevity and the control groups are generally similar in smoking, drinking, diet, sleep duration, blood lipid level, and self-assessment oral health status but differ significantly in socio-economic status, physical activity time, BMI, and self-assessment health status. The whole genome sequencing results were controlled, and 4 618 216 SNPs were involved in association analysis. The Q-Q plot of longevity-related SNPs analysis results showed that the enrichment of P value 1e-4 was significantly lower than the expected P value, and significant signals were also detected among P<1e-7 regions. Conclusions:The self-organizing maps can comprehensively consider the influence of socioeconomic and behavioral risk factors and select longevity control samples among samples with actual age and cause of death in a large-scale natural population cohort to improve the efficiency of longevity genome association analysis. This study provides a methodological reference for nested case-control study sample selection from the large-scale natural population cohort.