0.05).The drug cost was(12.93?4.47)yuan vs.(33.62?4.87)yuan and the total medical cost was(43.2?9.72)yuan vs.(63.03?14.99)yuan,both showing no significant differences between 2 groups(P

Objective To explore the effect of the family-centered prenatal maternal health education on delivery modes and breastfeeding.Methods Two hundred and thirty pregnant women who accepted prenatal maternal health education were divided into the observation group and the control group according to whether their families involved in the prenatal education.There were 108 cases in the observation group and 122 in the control group.The observation group was given prenatal health education involving the pregnant women and their caregivers or their husbands.The control group was given prenatal health education according to the previously-designed course without presence of their families.The two groups were compared in delivery mode,extent of pain during production and breast feeding.Results The rates of vaginal delivery and the breast feeding at discharge in the observation group were higher than the control group(P<0.05 for both).The rate of breast swelling in 72 hours was significantly lower than the control group(P<0.01). Conclusion Family-centered prenatal maternmal health education is good for the natural birth rate,improvement of breastfeeding rate and reduction the breast swelling.

Methods to assess cerebrovascular autoregulation are variable, including blood pressure-autoregulation and cerebrovascular motor reactivity. Evaluation of cerebrovascular autoregulation may be used to assess cerebral circulation reserve. It may predict the risk of ischemic cerebral vascular event, and may contribute to clinical therapy.

Objective To explore the application of association rules with Constraints in medical data analysis.Methods Constraints were applied in mining association rules of medical data by analyzing the characteristics of the data.An effective algorithm for mining association rules with constraints from medical data called CAMD was developed.The algorithm was applied to the analysis ofcoronary heart disease dataset.Results Assigning minimum support and minimum confidence as 0.20 and 0.60,respectively,with data from 303 cases of coronary heart dieses analyzed,8 association rules were tained.Crrelations between age,sex,electrocardiograph results,pathogeny and diagnosis of coronary heart disease were discovered.Conclusion Results from our experiments show that CAMD scans the database fewer times and has no need of pruning candidate itemsets.Thus,it greatly decrease the amount of useless rules produced and rapidly discover interesting association rules of medical data.

In recent years,combined therapy based on radical resection has promoted the prognosis of gastric cancer,but the rate rate of post-surgery recurrence is still high,which is the main cause of death.It helps us take out better treatment for gastric cancer to analyze correlation factors of gastric cancer recurrence after radical resection.It is needed to reviewed the literatures about correlation factors analysis of gastric cancer recurrence after radical resection in recent years.

Objective:To explore the breakthrough points of pharmaceutical care performed by clinical pharmacists in the patients after aortic dissection surgery. Methods:Using the pharmaceutical care performed by clinical pharmacists in the patients after aortic dissection surgery as the example,the breakthrough points of pharmaceutical care performed by clinical pharmacists were discussed. Results:According to the specific clinical conditions,clinical pharmacists should find out such breakthrough points of pharmaceutical care as judging the indications of heart rate and blood pressure,focusing on drug interactions and guiding the discharge medication. Conclusion:Clinical pharmacists can participate in the aortic dissection postoperative treatment and carry out individual pharmaceutical care to ensure the safety and efficacy of drugs .

Objective:To retrospectively evaluate the prognostic risk factors of patients with gallbladder carcinoma and the effect of normal prognostic nutrition index (PNI) on the survival. Methods:We retrospectively analyzed 63 patients with gallbladder carcino-ma treated in our hospital between January 2008 and December 2012. The independent prognostic factors of the patients were calculat-ed by the Cox proportional hazards model. The benefit of normal PNI status on the prognosis was further explored in the patients using survival analysis. Results:Lymph node metastasis, PNI≤50, squamous carcinoma, liver invasion and choledoch invasion were the risk factors of overall survival (OS) in the univariate analysis, while only lymph node metastasis (HR=4.495, 95%CI 2.380~8.488, P<0.001) and PNI(HR=0.195, 95%CI 0.098~0.389, P<0.001) were the dependent influential factors of the prognosis and OS in the multi-variate analysis. The effect of PNI on OS was even more statistically significant different in the younger patients (≤65y) than in the el-der (>65y) (younger group:P=0.011;elder group:P=0.078). Conclusion:The gallbladder carcinoma patients with normal PNI status (>50) have better OS compared to the patients with PNI≤50, with statistical differences between the two. And it is more significant in the patients of the younger group (≤65y), comparing with the elder group. PNI could be taken as a potential prognostic evaluation factor for the gallbladder carcinoma patients and can provide a more comprehensive evaluation of patients' conditions to clinician.

A paper similarity network was constructed in light of semantic similarity algorithm using the complex network processing package , igraph in R language , and analyzed by random walk-trap algorithm , label propagation algorithm, BGII algorithm, and Girvan-Newman algorithm, respectively.The accuracy and stability of these 4 al-gorithms were compared according to the golden standards and the D function for network community classification evaluation index, which showed that the accuracy and stability of random walk-trap algorithm were better than those of the other 3 algorithms and preconditioning of complex network was an important influencing factor for clustering .

Objective:To observe the clinical effect of piribedil and madopar on Parkinson's disease ( PD) . Methods:Totally 58 patients with PD were divided randomly into the treatment group (29 cases) and the control group (29 cases). Piribedil and madopar were used in the treatment group, while only madopar was applied in the control group. Therapeutic effect of both groups was evaluated by UPDRS at the end of 6 courses. Results:The decrease of UPDRS after the remedy in the treatment group was more significant than that in the control group (P<0. 05), and the total effective rate in the treatment group(89. 7%) was significantly higher than that in the control group(65. 5%)(P<0. 05). Conclusion:The clinical effect of piribedil combined with madopar on PD is superior to that of madopar alone, therefore, the combination use is a useful method in the treatment of PD with the value of popularization and applica-tion.