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ObjectiveTo report the results of preventive control program of severe thalassemias in Zhuhai City of Guangdong Province from 1998 to 2010.MethodsAs the guide centre of marriage and childbearing and the greatest maternity hospital in Zhuhai City of Guangdong Province,Zhuhai Municipal Maternity and Child Healthcare Hospital constructed the genetic screening network for thalassemias testing and referred for follow-up and for genetic counseling.The couples for premarital medical examination or regular healthcare examination in pregnancy were enrolled to this preventive control program.A conventional strategy of screening for heterozygote was used to identify the α- and β-thalassemia traits in women and their spouses according to the standard procedures of hematological phenotype analysis which was recommended by Thalassemia International Federation (T IF).Then those suspected couples at risk were diagnosed for α- and β-thalassemia by PCR-based DNA assays.The couples at risk for severe thalassemias were counseled and offered prenatal diagnosis and termination of pregnancy in case of an affected fetus in the rights of consent and of option voluntarily.ResultsFrom January 1998 to December 2010,85 522 brides and grooms-to-be for premarital screening and 41 503 pregnant women in addition to 14 141 partners for prenatal screening were recorded,the covering rates of premarital screening and prenatal screening in the city were 92.698％ (from 1998 to 2003) and 27.667％ (from 2004 to 2010),respectively.Totally 10 726 cases were found to be the carriers of thalassemias,with 7393 for o-thalassemia (5.237％,7 393/141 166) and 3333 for β-thalassemia (2.361％,3 333/141 166).A total of 257 couples at-risk for severe thalassemias were detected including 190 for α-thalassemia and 67 for β-thalassemia.Among them,251 (97.7％,251/257) couples were performed prenatal diagnosis.During the preventive control program,a total of 72 fetuses with severe thalassemias including hemoglobin H disease were voluntarily terminated.In Zhuhai City,the average annual birth rate of fetuses with severe thalassemia was declined by 32.9％ (49/149).ConclusionsThis study has reduced effectively birth rate of perinatal infants with severe thalassemias in Zhuhai City by genetic screening and prenatal diagnosis of thalassemia in the large population of 13 years.Our summary comes out of technical proposals for prenatal screening and diagnosis,which could be take example by preventative control of thalassemia in other regions of China where are prevalent.

7.Rational Usage and Administration of Antibiotics in Polyclinics:A Cost-effectiveness Analysis

Min CHEN ; Wei-Jia YIN ; Tao-You ZHOU ; Fu QIAO ; Xiao-Ju LV ; Li-Ke LIU ;

Chinese Journal of Nosocomiology 1994;0(01):-

8.Not Available.

Xiao-Yin LU ; Fei SHEN ; Zeng-Chen ZHAO ; Jun GAO ; Rui-Yang FU

Chinese Acupuncture & Moxibustion 2023;43(12):1431-1432

9.Qualitative and quantitative detection of Poria cocos by near infrared reflectance spectroscopy.

Xiao-huan FU ; Jun-hua HU ; Jia-chun LI ; Yin-hua DING ; Zhen-zhong WANG ; Wei XIAO ; Zhen-qiu ZHANG

China Journal of Chinese Materia Medica 2015;40(2):280-286

OBJECTIVEThe present study is concerning qualitative and quantitative detection of Poria cocos quality based on FT-near infrared (FT-NIR) spectroscopy combined with chemometrics.

METHODThe Poria cocos polysaccharides contents were determined by UV. Transmission mode was used in the collection of NIR spectral samples. The pretreatment method was first derivation and vector normalization. Then principal component analysis (PCA) was used to build classification model and partial least square (PLS) to build the calibration model.

RESULTThe results showed that conventional criteria such as the R, root mean square error of calibration (RMSEC), and the root mean square error of prediction (RMSEP) are 0.944 0, 0.072 1 and 0.076 2, respectively. The misclassified sample is 0 using the qualitative model built by PCA.

CONCLUSIONThe prediction models based on NIR have a better performance with high precision, good stability and adaptability and can be used to predict the polysaccharose content of Poria cocos rapidly, which can provide a fast approach to discriminate the different parts of Poria cocos.