Objective To investigate the causes and prevention of postpartum hemorrhage. Methods 84 cases with postpartum hemorrhage were analyzed. Results The main cause of postpartum hemorrhage was involved in poor contraction of uterus; The second cause was concerned with placenta; There was higher rate of postpartum hemorrhage after caesarean section than vaginal delivery. Conclusion It was necessary for preventing postpartum hemorrhage to strengthen antenatalcare, improve labor observe, decrease caesarean section.

Using apple pomace to produce single cell protein (SPC) with three and four strains respectively, the optimal mixed proportion of inoculation, one of the main factors of multiple strains' fermentation to produce SPC, was studied The experiment and analysis indicated that a practicable method to get the optim al mixed proportion of inoculation was obtained, which will perfect correlative researches of this field

BACKGROUND:According to the thrust of document issued by State Drug Administration, the clinical experiment was carried onfufang duzhongjiangu keli (compound) (Bo Si Zhuang) in treatment of knee joint osteoarthritis.OBJECTIVE: To evaluate the improvement of the compound in treatment of knee joint osteoarthritis and its safety.DESIGN: Zhuanggu guanjie wan (bolus) was taken as controlled drug and double blind, double-simulation randomized method was designed.SETTING: Fujian Institute of Chinese Medicine, Guananmen Hospital of China Academy of Traditional Chinese Medicine, Institute of Orthopedics and Traumatology of China Academy of Traditional Chinese Medicine and Beijing Hospital of Chinese Medicine.PARTICIPANTS: Clinical experiment Ⅱ was performed since December 19, 1999, in which, 200 cases of knee joint osteoarthritis were observed and divided into compound group (100 cases) and bolus group (100 cases).From December 1999 to March 2000, clinical experiment Ⅲ was performed to observe 400 cases of knee joint osteoarthritis, in which, 300cases were divided in compound group and 100 cases in bolus group. All of cases were diagnosed by X-ray test and differentiated in Chinese medicine as insufficiency of liver and kidney and stasis of tendons and vessels. All of patients were in the known of experiment.METHODS: In compound group, fufang duzhong zhuanggu keli (1bag/time, 3 times/day) + simulated dosage of zhuanggu guanjie wan were administrated. In bolus group, fufang duzhong zhuanggu keli simulated dosage + zhuanggu guanjie wan (1bag/time, twice/day) were administrated.Double blind and double-simulation randomized control experiment was given in one-month treatment to observe clinical therapeutic effects.MAIN OUTCOME MEASURES: Evaluation on clinical indexes of joint function ,clinical therapeutic effect, syndrome score in Chinese medicine and adverse reaction.RESULTS: Totally 600 cases employed had all accomplished datum collections, no dropped-off case. ① The total effective rate of compound group was superior remarkably to bolus group (92.%, 82%). ② The result of joint function in compound group was superior remarkably to that of bolus group. ③ Concerning to improvement of syndromes in Chinese medicine, the result in compound group was superior to that of bolus group (the decreased integrals were 7.03±3.38 and 5.43±3.16 respectively). ④No obvious harmful effect presented during experiment.CONCLUSION: Fufang duzhong jiangu keli improves the symptoms of osteoarthritis of knee safely and effectively.

Objective To investigate the changes of cerebral blood flow and the level of brain injury in a rat model of deep hypothermia low flow(DHLF).Methods Twelve SD rats aged 3 weeks were randomly divided into sham group and model group.Regional cerebral blood flow(rCBF)of all rats was measured continuously during the operation by laser Doppler flowmetry,and the changes of rCBF were measured before temperature decreased,when the temperature decreased to(21.0±0.5)℃,0-5 minutes,25-30 minutes,55-60 minutes,115-120 minutes during DHLF and 0-5 minutes after DHLF operation.Another 60 SD rats aged 3 weeks were randomly divided into sham group and model group.Six rats of each group were sacrificed at 1,6,24,72 hours and 7 days after DHLF operation to detect the pathological changes of the brain and the neuronal apoptosis by HE staining and TUNEL assay.The neurological deficit score(NDS)was recorded at 24,72 hours and 7 days after operation for evaluating the neurologic functional outcome.ResultsWhen the temperature was decreased to(21.0±0.5)℃,the levels of rCBF of sham group and model group were significantly decreased to(41.1±4.2)% and(40.7±3.4)% of the baseline value,and the rCBF level of model group was further decreased to(15.7±3.5)% of the baseline value 0-15 minutes during DHLF(P ＜ 0.01),with no obvious changes in all the time intervals during DHLF.Compared with the sham group,the scores of NDS of model group were significant lower at 24 and 72 hours after operation(P ＜ 0.05 or 0.01).Besides,a significant pathological change of the brain tissue and a increased percentage of TUNEL-positive staining cells were observed in model group at 6,24,72 hours and 7 days after operation(P ＜ 0.01).Conclusions Rat model of DHLF is an ideal and reliable model of brain injury,for it is similar to DHLF procedure of clinical cardiac operation.

Objective To observe the clinical efficacy and safety of GINA regimen and GINA regimen combined with oral Huaiqihuang granule in the treatment of children with bronchial asthma.Methods A ran-domized,single blind,multicenter,parallel controlled clinical trial wascarried out.A total of 1 128 patients with bronchial asthma in children were randomized into two groups.The observation group were treated with GINA regimen combined with oral Huaiqihuang granule.The GINA regimen treatment group was treated by GINA reg-imen.Clinical assessment and C-ACT scores was observed in first month,third month,sixth month after treat-ment.Clinical assessment included the times of upper respiratory tract infection occurrence,bronchitis and pneu-monia,asthmatic attacks,application of emergency medicine,hospitalizations due to asthmatic.Drug adverse effect in the two groups was compared.Results The times of upper respiratory tract infection,bronchitis and pneumonia,asthmatic was significantly decreased(P <0.05 ),and C-ACTscores were significantly higher(P <0.05)in the first month,the third month,and the sixth month after treatment.There were 16 cases of drug relat-ed adverse reactions.Seven cases were in observation group(n ﹦7)(1.15%)and 9 cases in the GINA regimen treatment group(n ﹦9)(1.73%).There was no significant difference of adverse effect between the two groups (P >0.05).Conclusion The treatment of bronchial asthma in children with GINA regimen combined with oral Huaiqihuang granule can significantly reduce the incidence of respiratory infections and the number of asthmatic attacks dramatically and safely improve clinical curative effect,asthma control.

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts. METHODS: We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models. RESULTS: The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749). CONCLUSIONS: The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population. TRIAL REGISTRATION Chictr.org, ChiCTR 1800018895.
Humans ; Aged ; Sarcopenia/diagnosis* ; Deep Learning ; Aging ; Algorithms ; Biomarkers