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AIM: To evaluate the effect of TDF withdrawal time on changes of serum HBV-M, HBV DNA and ALT level in the mother-to-child blocking of the maternal population. METHODS: A prospective, randomized and controlled study was conducted. The 120 pregnant women with HBV who took TDF during 24 to 28 weeks of gestation were randomly divided into group A (withdrawal at delivery) and group B (withdrawal at 4 weeks postpartum), levels of HBV-M, HBV DNA, and ALT at different times were detected. The results were statistically analyzed by Wilcoxon Rank-sum test and χ
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Objective To explore the application effect of individualized traditional Chinese medicine nursing mode in the nursing of patients with subtotal gastrectomy. Methods A total of 60 eligible patients who met the standard were divided into the control group and the intervention group with 30 cases in each group according to the random number table method, the control group received only normal nursing while the intervention group was subjected to the individualized TCM nursing based on the normal nursing. The nursing effect was compared between two groups. Results Scores of negative mood of patients of the intervention group before surgery, electrogastrogram slow wave 3 h, the first day and the second day after the operation, first feeding time after operation, early ambulation time, average length of stay was (16.50 ± 3.20) points, 2.58 ± 0.46, 2.88 ± 0.08, 2.99 ± 0.54, (28.70 ± 4.43) h, (29.09 ± 4.55) h, (8.24 ± 1.38) d. The control group was(16.98 ± 2.61)points, 2.40 ± 0.53, 2.79 ± 0.14, 2.71 ± 0.30,(31.45 ± 3.80)h,(32.91±2.28)h,(10.40±1.99)d, there were significant differences between the two groups (t=2.53-25.19, P 0.05). Conclusions Individualized TCM nursing can effectively alleviate the patients′ negative mood, shorten the recovery time of postoperative electrogastrogram slow wave, first feeding time and early ambulation time, to restore the gastrointestinal function of patients earlier, effectively promote the rehabilitation of patients;at the same time, shorten the hospitalization time.