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1.
Chinese Journal of Tissue Engineering Research ; (53): 846-851, 2018.
Article in Chinese | WPRIM | ID: wpr-698464

ABSTRACT

BACKGROUND:Bio-Oss bone substitutes have been shown to prevent bone resorption by slowing bone resorption,reducing bone resorption,and restoring the height of the alveolar ridge.However,most clinical studies focus on the efficacy within 1-3 months.OBJECTIVE:To compare the effects of two kinds of bone substitutes on the height of alveolar ridge and the periodontal tissue health status after implantation into the extraction socket of the wisdom tooth.METHODS:Forty patients with impacted mandibular teeth were randomly divided into two groups:Bio-Oss Collagen material was implanted in experimental group (n=20),and Bio-Oss bone replacement materials in control group (n=20).Cone-beam CT was retrospectively reviewed at 1,3 and 12 months after implantation.Alveolar bone height,bone changes and the second molars mobility were examined.Meanwhile,healing status of tooth extraction and gingival mucosa as well as the material spills were observed.RESULTS AND CONCLUSION:(1) At 1 month after implantation,the gingival mucosa of both groups healed well without swelling.There was no spillover in the experimental group,while there were two cases of bone material spill in the control group.No tissues generated in the extraction socket and tooth loosening was observed in both groups.(2) At 3 months after implantation,the materials gradually degraded with no swelling and with generation of partial bone tissues in the experimental group,and the tooth mobility was improved.In the control group,there was also no swelling in the gums,and the materials degraded partially,but there was no presence of new bone and no improvement in the tooth mobility.(3) At 12 months after implantation,there was no swelling in the gums of the experimental group,obvious new bone tissues formed in the second molar with the presence of bone trabecula.The new bone tissues were integrated with the surrounding bone tissues.The crest of the alveolar ridge was located about 3 mm below the enamel cementum,the tooth mobility was restored to the level before extraction,and the chewing function recovered.In the control group,there was no swelling in the gums,and new bone tissues formed in the distal part of the molar,but the trabecular arrangement was not aligned.The crest of the alveolar was located about 3 mm below the enamel cementum,the tooth mobility returned to the pre-extraction level,and the chewing function was normal.(4) The height of the alveolar bone at 1 and 3 months after implantation was significantly higher in the experimental group than the control group (P < 0.01),while there was no significant difference between the two groups at 12 months after implantation.To conclude,implantation of Bio-Oss Collagen immediately after removal of the impacted wisdom tooth of the mandible is beneficial to alveolar bone height and bone quality recovery,and significantly improves the periodontal health of the second molar,but the long-term effect needs further observation.

2.
Journal of Modern Laboratory Medicine ; (4): 5-9, 2018.
Article in Chinese | WPRIM | ID: wpr-696151

ABSTRACT

Objective To study the incidence of stroke among elderly people in China's longevity area and its association with diseases such as hypertension,diabetes and heart disease.The differences in the following common hematological indicators in subjects with stroke and non-hypertension,diabetes,heart disease and stroke were studied:superoxide dismutase (SOD),malondialdehyde (MDA),hypersensitive c-reactive protein (hsCRP),albumin (propagated) glucose (GLU),cholesterol (CHO),triglyceride (TG),high-density lipoprotein cholesterol (HDLC),glycosylated serum protein (GSP) urea nitrogen (BUN),creatinine (CREA) and uric acid (UA).Methods Residents who participated in the project of biomedical research of aging population conducted in 2014 were selected from 8 longevity Areas in China.2 315 people aged 40 and over attended the study,including 22 aged 40 and over,238 aged 60 and over,490 aged 70 and over,629 aged 80 and over,518 aged 90 and over,418 aged 100 and over.Using the self-designed questionnaire to collect information about the characteristics of social demographics,the clinical doctors used the unified inspection tool to examine the subjects.The fasting blood samples were collected by vacuum tube at early morning.The contents of plasma SOD,MDA,hsCRP,ALB,GLU,CHO,TG,HDLC,GSP,BUN,CREA and UA were detected and compared among these elderly who were classified into different genders and different age groups and different healthy groups.Results The prevalence of high blood pressure,diabetes,heart disease and stroke increased with age,reaching a peak and then slowly decreasing.The age of peak was 90 ~ 99,60 ~ 69,70~ 79 and 80~ 89.The prevalence of hypertension was 71.62 % and 60.54 % respectively for stroke subjects and non-cerebral apoplexy subjects,and the difference was statistically significant.The prevalence of diabetes was 18.92% and 11.35% respectively,and the difference was statistically significant.The prevalence of heart disease was 20.98% and 5.26%,respectively,and the difference was statistically significant.The rates of non-hypertension,non diabetic and non-heart disease were 4.73% and 33.41% respectively,and the difference was statistically significant.In the groups of Stroke subjects and Non-high blood pressure,nomdiabetic,non-heart disease subjects the following indicators were Compared,values of SOD were 55.76±8.27 and 57.16±8.00 U/ml respectively,the difference between groups were not statistically significant (t=0.341,P=0.053),values of MDA were 5.81 ± 3.82 and 5.67± 3.16 μmol/L respectively,the difference between groups were not statistically significant (t=0.329,P =0.661),values of hsCRP were 4.15 ± 12.33 and 2.94 ± 6.25 mg/L,respectively,the difference between groups were not statistically significant (t=0.026,P=0.080),values of ALB were 41.60±4.51 and 42.08±3.94 g/L respectively,the difference between groups were not statistically significant (t=0.032,P=0.194),values of ALB were 41.60 ± 4.51 and 42.08± 3.94 g/L respectively,the difference between groups were not statistically significant (t =0.032,P=0.194),values of ALB were 41.60 ± 4.51 and 42.08 ± 3.94 g/L respectively,the difference between groups were not statistically significant (t =0.032,P=0.194),values of GLU were 5.89 ± 2.67 and 4.90 ± 0.90 mmol/L respectively,the difference between groups showed statistically significant (t=0.000,P=0.000)),values of CHO were 4.81 ± 1.00 and 4.71±1.02 mmol/L respectively,the difference between groups were not statistically significant (t =0.670,P=0.318),values of TG were1.33±0.69 and 1.14±0.57 mmol/L respectively,the difference between groups showed statistically significant (t=0.012,P=0.000),values of HDLC were 1.29±0.35 and 1.41±0.40 mmol/L respectively,the difference between groups showed statistically significant (t=0.004,P=0.001),values of GSP were 259.10±60.90 and 246.75±24.52 μmol/L respectively,the difference between groups showed statistically significant (t =0.000,P =0.000),values of BUN were 6.84±± 3.53 and 6.62 ± 2.20 mmol/L respectively,the difference between groups were not statistically significant (t=0.110,P=0.338),values of CREA were 84.92 ± 33.00 and 80.14 ± 24.64 μmol/L respectively,the difference between groups showed statistically significant (t=0.013,P=0.044),values of UA were 296.73±91.34 and 288.12±80.47 μmol/L respectively,the difference between groups were not statistically significant (t=0.123,P=0.247).Conclusion Diabetes,hypertension,and heart disease are risk factors for stroke.Abnormal blood glucose and lipid metabolism:the increase of GLU,TG and the decrease of HDLC are important common biochemical index of stroke.Patients with cerebral apoplexy have certain renal impairment.

3.
Journal of Southern Medical University ; (12): 482-487, 2016.
Article in Chinese | WPRIM | ID: wpr-264017

ABSTRACT

<p><b>OBJECTIVE</b>To explore the association between preoperative platelet count and the outcomes of patients with colorectal cancer (CRC).</p><p><b>METHODS</b>This study was conducted among a cohort of 486 CRC patients, who underwent surgery in Sichuan Provincial Cancer Hospital between January, 2010 and July, 2013 and were prospectively followed up for their outcomes. The association between preoperative platelet counts and clinicopathologic factors of the patients were analyzed. Survival analysis of the patients was performed using log-rank test, and the factors affecting the patients' outcomes were analyzed by univariate and multivariate analyses using the Cox proportional hazard model.</p><p><b>RESULTS</b>In this cohort, preoperative platelet count was significantly associated with the tumor site, depth of tumor invasion (T), and distant metastasis (M) (all P<0.05). Log-rank tests showed that in patients with CRC and rectal cancer, the overall postoperative survival differed significantly between high and low preoperative platelet count groups (Χ(2)=8.813, P=0.003 and Χ(2)=5.110, P=0.024, respectively), but this difference was not observed in patients with colon cancer (P<0.05). Multivariate analysis indicated that CRC patients with a high preoperative platelet count had a higher risk of death compared to those with a low platelet level after adjustment for tumor site, tumor grade, TNM stage, vascular invasion, perineural invasion, and preoperative CEA level (RR=1.814, 95%CI: 1.056-3.115). In subgroup analysis, preoperative platelet count was identified as an independent prognostic factor in patients with rectal cancer (RR=2.718, 95% CI: 1.132-6.526), but not in patients with colon cancer (RR=1.396, 95%CI: 0.705-2.765).</p><p><b>CONCLUSION</b>As an independent prognostic factor in CRC patients, preoperative platelet count may serve as an important indicator for predicting the outcomes of rectal cancer, but its prognostic value for colon cancer needs further clarification.</p>


Subject(s)
Humans , Colonic Neoplasms , Diagnosis , Colorectal Neoplasms , Diagnosis , Multivariate Analysis , Neoplasm Staging , Platelet Count , Preoperative Period , Prognosis , Proportional Hazards Models , Survival Analysis
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