Objective To explore the effect of follow-up by telephone calls on the medication compliance of patients with cancer pain.Methods Two hundred and forty hospitalized cancer patients suffering from moderate to severe cancer pain were included in the study. All the patients were provided with education on pain treatment before discharge.Then they were randomly assigned to receive telephone follow-up or routine nursing after discharge.The medication compliance were compared 2 months after discharge.Result The medication compliance in the observation group was significantly better than that in the control group.Conclusion Telephone follow-ups can improve medication compliance in patients with cancer pain.

Objective To investigate the effect of diet and gene on blood-fat trait of the individual.Method One hundred and twenty mice were fed with high fat emulsion for 4 w,then the genotypes of LPL were analyzed by PCR-SSCP to investigate their effect on blood-fat traits and some organ performance of mice.Result After fed with high fat emulsion for 4 w,98 mice suffered from hyperlipidemia,while 22 mice did not.And a G/A mutation was found in 220 targeted fragments we amplified at 14355 site,and association analysis showed that the mice with BB genotype had higher TC、TG、LDL、H/W、L/W level than those of the mice with AA genotype(P

BACKGROUND:Molars are characterized by multi-root, multi-root canal, multi-directional, different geometric shape and distribution. Single-root canal teeth post-core theory was used to guide molar repair in the clinic. It is easy to cause root canal perforation or vertical fracture due to excessive post preparation. Therefore, it is necessary to make further study and investigation in the design of fiber post-resin core for repairing molars. OBJECTIVE: To evaluate the clinical therapeutic effects of fiber post-resin core with different numbers of posts in the repair of molar residual roots and crowns. METHODS: A total of 54 human molar residual roots and crowns with sound root canal filing in 48 patients were selected and restored with fiber post of different numbers and resin core as wel as complete coronal restoration. There were 17 cases (20 samples) restored with single fiber post core, 16 cases (18 samples) restored with double fiber post cores, and 15 cases (16 samples) restored with three fiber post cores. They were folowed up for 24 months and the repair results were compared. RESULTS AND CONCLUSION:After 24 months of folow-up, the success rates were 85%, 94% and 94% in the single fiber post, double fiber post and three fiber post groups, respectively, and no significant difference was detected among the three groups. Five failures were observed among 54 teeth: three cases of fiber post shedding in the single fiber post group, one case of fiber post shedding in the double fiber post group, and one case of fiberpost shedding in the three fiber post group, and no root fracture occurred. Three kinds of fiber post-resin cores for repairing molar residual roots and crowns can get a better short-term clinical result. The repair effects were not different because of the different numbers of fiber posts.

Objective: To determine the active components of Eupolyphaga sinensis Walker (Tu Bie Chong) and explore the mechanisms underlying its fracture-healing ability. Methods: A modified Einhorn method was used to develop a rat tibial fracture model. Progression of bone healing was assessed using radiological methods. Safranin O/fast green and CD31 immunohistochemical staining were performed to evaluate the growth of bone cells and angiogenesis at the fracture site. Methylthiazoletetrazolium blue and wound healing assays were used to analyze cell viability and migration. The Transwell assay was used to explore the invasion capacity of the cells. Tubule formation assays were used to assess the angiogenesis capacity of human vascular endothelial cells (HUVECs). qRT-PCR was used to evaluate the changes in gene transcription levels. Results: Tu Bie Chong fraction 3 (TF3) significantly shortened the fracture healing time in model rats. X-ray results showed that on day 14, fracture healing in the TF3 treatment group was significantly better than that in the control group (P = .0086). Tissue staining showed that cartilage growth and the number of H-shaped blood vessels at the fracture site of the TF3 treatment group were better than those of the control group. In vitro, TF3 significantly promoted the proliferation and wound healing of MC3T3-E1s and HUVECs (all P < .01). Transwell assays showed that TF3 promoted the migration of HUVECs, but inhibited the migration of MC3T3-E1 cells. Tubule formation experiments confirmed that TF3 markedly promoted the ability of vascular endothelial cells to form microtubules. Gene expression analysis revealed that TF3 significantly promoted the expression of VEGFA, SPOCD1, NGF, and NGFR in HUVECs. In MC3T3-E1 cells, the transcript levels of RUNX2 and COL2A1 were significantly elevated following TF3 treatment. Conclusion TF3 promotes fracture healing by promoting bone regeneration associated with the RUNX2 pathway and angiogenesis associated with the VEGFA pathway.

Objective:To analyze the characteristics of gamma oscillation in chronic insomnia patients with anxiety and depression, and to investigate its underlying neural mechanism.Methods:According to the anxiety and depression scores, the subjects with chronic insomnia who met the diagnostic criteria were divided into chronic insomnia with anxiety and depression group ( n=19) and chronic insomnia group ( n=13). Healthy subjects matched with age, gender, and educational background were selected as the normal control group ( n=16). The EEGs from the three groups under resting state and cognitive load state were collected.The relative gamma power was then calculated by fast Fourier transform.The spatial distribution pattern of the gamma oscillation in the three groups was analyzed.Spearman correlation analysis was employed to quantify the correlation between relative gamma powers and sleep scale, anxiety and depression scale scores. Results:In the resting state, the relative gamma power in the chronic insomnia with anxiety and depression, chronic insomnia and normal control group was 0.192 1±0.008 0, 0.210 3±0.009 6, 0.237 3±0.006 4, respectively.In the cognitive load state, the relative gamma power in the three groups increased compared with those in the resting state (0.220 7±0.008 1, 0.249 5±0.009 8, 0.267 7±0.007 2, respectively) (all P<0.05). In the resting state, the relative gamma power (F3, F4, C3, C4, P3, P4, O2, F8, T4) in the chronic insomnia with anxiety and depression group (0.179 9±0.009 7) and the chronic insomnia group (0.194 4±0.010 4) was lower than that in control (0.236 0±0.012 0, P<0.05). In the cognitive load state, the relative gamma power (F3, C3, C4, P3, P4, T4) in the chronic insomnia with anxiety and depression group (0.207 3±0.009 7) was lower than that in control (0.259 1±0.009 4)( P<0.05). There was a significant negative correlation between the relative gamma power in the nodes(F3, C3, P3)and the insomnia, anxiety and depression in the three groups(correlation coefficient r=-0.467--0.274, P<0.05). Conclusion:Chronic insomnia patients with anxiety and depression are often accompanied by cognitive dysfunction.The loss of gamma oscillation in left posterior, left central and left apex may be one of the potential neural mechanisms of cognitive dysfunction in chronic insomnia patients with anxiety and depression.

Objective:To analyze the electroencephalogram (EEG) features of patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI), and to combine the characteristics for classification and prediction.Methods:One hundred and thirty-five patients attending the Department of Neurology at the General Hospital of Tianjin Medical University were enrolled, including 34 patients with AD, 67 patients with MCI, and 34 healthy control (HC). The electroencephalogram signals of these patients in the resting state were collected and preprocessed. Relative power spectral density features and sample entropy features on a multi-band scale were extracted to compare the whole-brain differences in electroencephalogram features among the 3 groups of subjects, and then subdivided into brain regions and individual leads for in-depth analysis. The above two features were fused to classify and predict AD, MCI, and HC by support vector machine (SVM).Results:The frontal regions had higher δ relative power spectral densities than the other regions, and the occipital and temporal regions showed relatively lower distributions. θ-Band relative power spectral densities had a more even distribution of sizes across brain regions. α-Band relative power spectral densities were concentrated in the occipital lobe, while β-band relative power spectral densities were mainly concentrated in the parietal and temporal lobes. Except for the central lobe, the δ-band relative power spectral densities of the AD group were higher than those of the MCI group ( P < 0.05) and HC group ( P < 0.01) in all brain regions and the whole brain. θ-band relative power spectral densities of the AD group were higher than those of the MCI gourp ( P < 0.001) and HC group ( P < 0.001) in the whole brain and in all brain regions. α-Band relative power spectral densities of the AD group were lower than those of the other groups only in the temporal lobe (all P < 0.05). The relative power spectral density of the β-band in the AD group was higher than that of the other groups in the whole brain and in all brain regions ( P < 0.05, 0.01, 0.001). The difference in the relative power spectral density of the δ-band in the C3 lead in the central lobe of the AD and HC groups was statistically significant ( P < 0.05). The relative power spectral density of the γ-band in the temporal lobe was higher than that in the other regions of the AD group, the MCI group, and the HC group. The relative power spectral density of the γ-band in the T3 lead in the AD group was significantly lower than that in the T4 lead. The average entropy of samples in the whole brain and in each brain region was lower than that in the HC group in the AD and MCI groups (all P < 0.05). The entropy of the samples at lead C3 in the AD group was lower than that in the MCI group ( P < 0.05). The differences between the relative power spectral density, sample entropy, and the actual data classification evaluation indexes (accuracy rate, precision rate, recall rate, and F1 score) that fused the two features, and the rearranged data were all statistically significant (all P < 0.001). When the relative power spectral density feature and the sample entropy feature were fused in the classification features, the best classification prediction was achieved, with an accuracy rate of 80%, a precision rate of 78%, a recall rate of 78%, and the F1 score of 79%. Conclusions:Relative power spectral density and sample entropy analysis can reveal the abnormalities of electroencephalogram activities of AD and MCI patients from different perspectives (linear and nonlinear), and the combination of these two features in classification prediction can improve the classification effect.