ABSTRACT
Objective To evaluate the value of glycosylated hemoglobin (HbAlc) level in glucose monitoring,insulin therapy and neonatal birth weight prognosis in gestational diabetes mellitus (GDM) patients.Methods Data of 1074 women who were diagnosed as GDM and delivered at Peking University First Hospital between January 1,2005 and August 31,2011 were collected and retrospective analysis was conducted.The relationship of HbAlc level with plasma glucose level of oral glucose tolerance test (OGTT),insulin administration and neonatal birth weight were investigated with Pearson correlation analysis,Logistic regression analysis or receiver operating characteristic (ROC) curve.Results OGTT was done on 1074 women with (31.8± 4.0) years old during the second and third trimester and diagnosed GDM at (27.6 ± 3.4) weeks of gestational age.Among them,glucose level of fasting and 1 and 2 hours after OGTT were (5.2 ± 0.7),(10.9± 1.4) and (9.4±1.5) mmol/L.The levels of HbAlcwere (5.57±0.48)％ at the fist time of HbAlc testing at (31.8±4.3) weeks of gestational age.(1)The average value of HbAlc in 726 women determined at one month after OGTT was (5.54±0.47)％,and increased from (5.34±0.41)％ in women with one abnormal item in OGTT to (5.47±0.41)％ and (5.71±0.46)％ in women with two or three abnormal items inOGTT (t=3.025 and 6.399,all P＜0.01).(2) HbAlc level in women received insulin therapy was higher than those who did not [(5.78±0.58) ％ vs (5.42±0.37) ％,t=9.431,P＜0.01].The sensitivity and specificity were 57.8％ and 75.5％ respectively in predicting insulin requirement in women with GDM at the cut-off value of 5.67％ for HbAlc (Logistics analysis:OR＝6.847,95％CI:4.588-10.218,P＜0.01).(3) Maternal HbAlc levelat the third trimester was higher in large for gestational age(LGA) group than that in non-LGA group [(5.75±0.52)％ vs (5.54±0.42)％,t=6.845,P＜0.01].The sensitivity and specificity were 44.8％ and 73.8％ respectively in predicting LGA at the cut-off value of 5.75％ for HbAlc (Logistics analysis:OR=2.187,95％CI:2.097-3.783,P＜0.01).(4) Maternal HbAlc level at the third trimester was higher in macrosomia group than that in non-macrosomia group [(5.88±0.53)％ vs (5.57±0.45)％,t=5.990,P＜0.01].The sensitivity and specificity were 50.4％ and 79.8％ respectively in predicting macrosomia at the cut-off value of 5.85％ for HbAlc (Logistics analysis:OR=3.299,95％CI:2.237-4.865,P＜0.01).Conclusions HbAlc level at the time of GDM diagnosis could imply the severity of disease and might predict insulin requirement.While maternal HbAlc level at the third trimester may predict the occurrence of LGA and macrosomia.
ABSTRACT
Acupuncture treatment of insomnia has been reported for many years,but its validity remains controversial up to now.In the present review,the authors took "Acupuncture","Insomnia" as the key words to do a literature search from databases in both Chinese and English via computer retrieval system and also conducted a hand-made retrieval from journals of Chinese medicine as Chinese Acu-moxibustion,and collections of theses of the related academic conferences.Then,they made a systemic evaluation on the original articles from methodology,diagnosis,criteria for the enlisted and excluded patients,intervention methods of acupuncture and control groups,standards for assessing the curative efficacy,follow-up visit,etc.Of the retrieved 80 clinical articles,20 are RCT(randomized controlled trails) composed of 1907 cases,including 4 high-quality trails and 16 lower-quality trails.Regarding the assessment of the therapeutic effect,measuring scales are often adopted in overseas studies,while in domestic researches,self-drawn standards are frequently used.In conclusion,there have had no high-quality clinical trails about acupuncture treatment of primary insomnia in China at the present,and the related evaluating methods could not definitely confirm the efficacy of acupuncture in relieving insomnia.Therefore,a strict and scientific clinical trail scheme being in line with evidence-based medicine is urgently needed in the coming studies on acupuncture treatment of primary insomnia.