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find Keyword "correlation" 45 results
  • Regional Differences in Prediction Models of Lung Function in China

    Objective To investigate the differences between six parts of China in prediction models of lung function.Methods The predicted values of 360 healthy volunteers underwent pulmonary functiontest in east China were compared with that of north China, northeast China, northwest China, southwest China, south China and Asian American. Results In the male group, the prediction values of east China were as follows: VC ( 4. 19 ±0. 33) L, coefficient correlation( r) to the other five regions were 0. 803-0. 983,the differences to the other five regions were 1. 90% -4. 30% ; FVC ( 4. 06 ±0. 35) L, r to the others were 0. 912-0. 981, the differences to the other four regions were 0-2. 46% except for south China of 8. 10% , to Asian American ×0. 88 and Asian American ×0. 94 were 1. 97% and 4. 68% ; FEV1 ( 3. 34 ±0. 40) L, r to the others were 0. 963-0. 992, the differences to north China and east China were 0. 9% and 3. 59% , to southwest China and south China were gt;5% , to Asian American ×0. 88 and Asian American×0. 94 were 6. 89% and 0. 6% ; FEV1 /FVC ( 80. 87 ±3. 84) % , r to the others were 0. 989-0. 999, the differences to north China, northeast China and south China were 0. 42% -3. 04% , to the others were gt;5% . In the female group, the prediction values of east China were as follows: VC ( 3. 00 ±0. 33) L, r to the other five regions were 0. 899-0. 993, the differences to the other five regions were 0. 33% -3. 67% ; FVC( 2. 92 ±0. 34) L, r to the other five regions were 0. 929-0. 990, the differences to the other five regions were 1. 02% -2. 40%, to Asian American ×0. 88 and Asian American ×0. 94 were 4. 79% and 6. 16% ; FEV1 ( 2. 38 ±0. 39) L, r to the other five regions were 0. 958-0. 994, the differences to northeast China, southwest China, south China were 0. 84% -3. 36% , to north china was 7. 19% , to Asian American ×0. 88 and Asian American ×0. 94 were 2. 10% and 4. 62% ; FEV1 /FVC ( 82. 04 ±3. 94) % , r to the others were 0. 991-1. 000, the differences to the other four regions were 1. 34% -4. 55% except for southwest China was 7. 59% . Conclusions VC and FVC predicted values are coincident between six parts of China. FEV1 /FVC predicted values are coincident in the four parts of China except for westnorth and westsouth China. FEV1 predicted values are different. The oversea predicted values should be used with appropriate conversion factors.

    Release date:2016-09-13 03:54 Export PDF Favorites Scan
  • CORRELATION BETWEEN VERTEBRAL SCREW INSERTING ANGLE AND POST-OPERATIVE SPINAL LATERAL ANGULATION IN SURGERY VIA ANTERIOR APPROACH FOR THORACOLUMBAR FRACTURES

    Objective To explore the correlation between the inserting angle of vertebral screws and the extent of post-operative lateral angulation instantly in sugery via anterior approach for thoracolumbar fractures. Methods The cl inical data were from 172 patients consecutively treated with surgery via anterior approach in thoracic and lumbar fractures betweenMay 2004 and January 2008. These cases included 124 males and 48 females at the age of 15-70 years old (mean 39 years old). One fracture were located at T11, 37 at T12, 88 at L1, 30 at L2, 15 at L3, 3 at L4. One segment was involved in 170 cases and two segments in 2 cases. According to Frankel assessment for neurological status, there were 19 cases of grade A, 24 cases of grade B, 45 cases of grade C, 53 cases of grade D, and 31 cases of grade E. The time from injury to operation was 2-30 days (median 8 days). According to the coronal Cobb angle instantly after surgery, the patients were divided into three groups: 0-5° group, 5-10° group and over 10°group. Every group was further divided into four subgroups according to the type of the internal fixation instruments: Z-plate subgroup, Antares subgroup, Profile subgroup and single screw rod (SSR) subgroup. Radiograph images were used to evaluate the coronal Cobb angle and inserting angle between the screws and end-plates. The screws were named as A, B, C and D in vertebral bodies from the cephal ic to the caudal portion. The angles between the superior endplate and the screws A, B were named as angles A, B, and the angles between the inferior endplate and the screws C, D were named as angles C, D. The differences were compared between the screw’s inserting angle A+D (or/and B+C) and the post-operative coronal Cobb angle instantly, and l inear regression analysis was done. The satisfaction survey was acommpl ished. Results Surfacialinfection occurred in 1 patient at 7 days and incision healed well after debridement; other incisions healed by first intention. A total of 172 cases were followed up for 6-49 months (mean 39 months). The degree of satisfaction was 3-10 points, median 8.5 points. Various degrees of neurological function recovered in final follow-up except patients for Frankel A grade. The mean coronal Cobb angles were (0.75 ± 3.91)° for pre-operatively, (3.17 ± 4.07)° for instantly post-operatively and (3.46 ± 4.21)° at last follow-up; showing statistically differences between pre-operatively and instantly post-operatively, between pre-operatively and at last follow-up (P lt; 0.05). Comparing the screw’s inserting angle A+D (or/and B+C) and the coronal Cobb angle, there was statistically significant difference between Z-Plate subgroup and other subgroups in 0-5° group (P lt; 0.05), and there were no statistically significant differences between other subgroups in each group (P gt; 0.05). Except the screw’s inserting angle A+D (Z-Plate and SSR subgroups) and angle B+C (Antares subgroup) in 0-5° group, the post-operative coronal Cobb angle correlated closely with the screw’s inserting angle A+D (or/and B+C) in other subgroups of 3 groups. Conclusion Nonparallel ism between the vertebral screws and the correlative end plate is one of the main causes of post-operative spinal lateral angulation.

    Release date:2016-09-01 09:08 Export PDF Favorites Scan
  • A COMPARISON OF DIGITAL PLANIMETRY AND TRANSPARENCY TRACING BASED METHODS FORMEASURING DIABETIC CUTANEOUS ULCER SURFACE AREA

    To assess the rel iabil ity of diabetic cutaneous ulcer surface area (DCUSA) measurement usingdigital planimetry method (A) and transparency tracing method (B). Methods Images of diabetic cutaneous ulcers from35 inpatients with diabetic skin ulcers from September 2005 to April 2007 were taken by a digital camera once a week or twice a week over a period of 12 weeks, resulting in 305 photographs; the ulcers were traced on a grid with acetate wound tracings, simultaneously. A total of 305 pairs of DCUSA which were calculated respectively throughout digital camera combined with Image J medical imaging software and transparency tracing with grid sheet by two independent observers sequentially were obtained. The intraclass correlation coefficients (ICCs, one-way random effect model) was used as an indicator of chancecorrected agreement to estimate the relative rel iabil ity for the interobserver data. Multiple l inear regression analysis was also used to measure the relationship of these two methods. Results DCUSA obtained from method A and obtained from method B was (4.84 ± 7.73) cm2 and (5.03 ± 7.89) cm2, respectively; no significant difference was found (P gt; 0.05). ICCs was high (ICCs=0.949 for method B and 0.965 for method A), indicating that the relative rel iabil ity for the interobserver was excellent. The method A were highly correlated with measurements obtained from method B (r = 0.957, P lt; 0.05). Conclusion The digital planimetry method described in this study represents a simple, practical, without any wound damage and contamination, and inexpensive technique to accurately evaluate the areas of diabetic cutaneous ulcers. The photographic technique combined with Image J medical imaging software should be considered for wound measurement.

    Release date:2016-09-01 09:12 Export PDF Favorites Scan
  • Correlation between Social Support and Mental Health of the Aged Based on Pearson Correlation Coefficient: A Meta-Analysis

    Objective To reflect the correlation between social support and mental health of the aged through the Pearson correlation coefficient. Methods Databases including PubMed, SpringerLink, EMbase, The Cochrane Library, VIP, WanFang Data and CNKI were searched from inception to October, 2011 to collect literature on the correlation between social support and mental health of the aged. The studies were screened according to the inclusion and exclusion criteria. After extracting data and assessing the quality of the included studies, meta-analysis was conducted using RevMan 5.0 software. Results Of the 2 396 identified studies, 4 studies were included. The results showed that 4 studies were not high in the overall quality. The total score of social support of the elderly and its three dimensions were related to mental health. Among 9 factors associated with mental health, somatization, depression and anxiety were weakly correlated to the objective support while the others were extremely weakly correlated. Anxiety and phobic anxiety were weakly correlated to the subjective support while the others were extremely weakly correlated. Phobic anxiety was weakly correlated to the utilizing degree while the others were extremely weakly correlated. Somatization, anxiety and phobic anxiety were weakly correlated to the total score of social support while the others were extremely weakly correlated. Conclusion Social support probably improves mental health of the aged to some extent.

    Release date:2016-09-07 10:58 Export PDF Favorites Scan
  • Secondary Osteoporosis and Its Associated Fractures in Postmenopausal Women with Diabetes

    Objective Secondary osteoporosis is very common in patients with primary osteoporosis. Diabetes is a known cause of secondary osteoporosis. While type I diabetes has been clearly linked with diabetic osteoporosis, the effect of type II diabetes on bone health is controversial.Methods In the present study, we investigated the associations between type II diabetes and osteoporosis as well as fractures at different skeletal sites in Women’s Health Initiative participants.Results Common risk factors such as age, race, BMI, HRT use, and the history of fractures were significantly associated with osteoporosis and fractures in this study population. Diabetic women appeared to have a decreased risk of osteoporosis although it no longer remained significant after adjusting for other risk factors (crude HR=0.78, 95%CI 0.61 to 0.99; adjusted HR=0.93, 95%CI 0.73 to 1.19). The impact of diabetes on fractures varied at different body sites. There was a significant increase of risk of hip fracture (HR=2.54, 95%CI 1.14 to 5.66), but not spine fracture (HR=1.71, 95%CI 0.81 to 3.60) and arm fracture (HR=0.92, 95%CI 0.48 to 1.76) among the women with diabetes. Although the overall risk of fractures in diabetic women did not differ significantly from non-diabetic women (HR=1.37, 95%CI 0.89 to 2.09), the difference had a two-fold increase and was statistically significant after 2,000 days (HR=2.01, 95%CI 1.21 to 3.35), indicating a different hazard at different stages of diabetes.Conclusion Our findings suggest that type II diabetes may not be clearly associated with osteoporosis, it increases a site-specific fracture risk at least in the hip. In addition, the overall fracture risk appears to increase in a time-dependent manner.

    Release date:2016-09-07 02:12 Export PDF Favorites Scan
  • Canonical Correlation Analysis of Behavioral, Emotional Problems and Life Events among Adolescents

    Objective To explore the association between behavioral, emotional problems and life events among adolescents, and to determine which factors of life events correlate most highly with the behavioral, emotional problems. Method A total of 1 325 adolescents were investigated with Youth Self-Report (YSR) of Achenbach’s behavior checklist and Adolescent Self-Rating Life Events Checklist (ASLEC), and the data were analyzed with canonical correlation analysis. Results Canonical correlation was statistically significant. The correlation coefficients of the first pair of canonical variables in the male and female group were 0.631 3 and 0.621 1, respectively, and the cumulative proportion of the first two pairs of canonical variables was above 0.95. In the first pair of canonical variables, the loadings of anxious/depressed, interpersonal sensitivity and study pressure were higher, while in the second pair, withdrawal and punishment were the most important factors. Conclusions The effects of life events on emotional problems mainly contributed to interpersonal sensitivity and study pressure.

    Release date:2016-09-07 02:27 Export PDF Favorites Scan
  • The Relationship between Microalbuminuria and Coronary Artery Disease

    摘要:目的: 研究尿微量白蛋白与冠心病的相关性。 方法 : 按冠状动脉造影诊断标准将116例患者分为冠心病组(82人) 与非冠心病组(34人),测定晨尿白蛋白/ 肌酐浓度值(ACR),比较两组患者尿ACR 并分析ACR与冠脉病变程度的相关性。 结果 : 冠心病组ACR显著高于非冠心病组的; ACR与冠脉计分呈显著的直线正相关。 结论 :冠心病患者ACR水平升高,微量白蛋白尿与冠状动脉病变范围和程度密切相关, 且对冠状动脉狭窄程度具有独立预测价值。Abstract: Objective: To investigate the relationship between microalbuminuria and coronary artery disease(CAD). Methods : According to the diagnostic standard of coronary artery angiography,116 patients were divided into CAD group (82 patients) and nonCAD group (34 patients). The albumin and creatinine concentrationratio ratio(ACR) in morning urine samples from patients of both groups was estimated and compared. The correlation of ACR to the extent of coronary lesions was analyzed. Results : ACR in the CAD group was significantly higher than that in nonCAD group. A distinctly linear positive correlation existed between ACR and the score of the coronary lesions. Conclusion : ACR increase in patients with CHD.Micoalbuminuria was associated with the severity of coronary lesions in patients with CHD and is an independent predictor of CAD.

    Release date:2016-09-08 10:12 Export PDF Favorites Scan
  • Analysis of Sleep Electroencephalograph Signal Based on Detrended Cross-Correlation

    The quality of sleep has a great relationship with health and working efficiency. The result of sleep stage classification is an important indicator to measure the quality of sleep, and it is also an important way to diagnose and treat sleep disorders. In this paper, the method of detrended cross-correlation analysis (DCCA) was used to analyze sleep stage classification, sleep electroencephalograph signals, which were extracted from the MIT-BIH Polysomnographic Database randomly. The results showed that the average DCCA exponent of the awake period is smaller than that of the first stage of non-rapid eye movement (NREM) sleeps. It is well concluded that the method of studying the sleep electroencephalograph with this method is of great significance to improve the quality of sleep, to diagnose and to treat sleep disorders.

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  • Review on the Research Progress of Mining of OMIM Data

    Online Mendelian Inheritance in Man (OMIM) is a knowledge source and data base for human genetic diseases and related genes. Each OMIM entry includes clinical synopsis, linkage analysis for candidate genes, chromosomal localization and animal models, which has become an authoritative source of information for the study of the relationship between genes and diseases. As overlap of disease symptoms may reflect interactions at the molecular level, comparison of phenotypic similarity may indicate candidate genes and help to discover functional connections between genes and proteins. However, the OMIM has used free text to describe disease phenotypes, which does not suit computer analysis. Standardization of OMIM data therefore has important implications for large-scale comparison of disease phenotypes and prediction of phenotype-genotype correlations. Recently, standard medical language systems, term frequency-inverse document frequency and the law of cosines for document classification have been introduced for mining of OMIM data. Combined with Gene Ontology and various comparison methods, this has achieved substantial successes. In this article, we have reviewed various methods for standardization and similarity comparison of OMIM data. We also predicted the trend for research in this direction.

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  • Feature Extraction of Brainstem Auditory Evoked Potential Based on Wavelet Multi-resolution Analysis

    We proposed a multi-resolution-wavelet-transform based method to extract brainstem auditory evoked potential (BAEP) from the background noise and then to identify its characteristics correctly. Firstly we discussed the mother wavelet and wavelet transform algorithm and proved that bi-orthogonal wavelet bior5.5 and stationary discrete wavelet transform (SWT) were more suitable for BAEP signals. The correlation analysis of D6 scale wavelet coefficients between single trails and the ensemble average of all trails showed that the trails with good correlation (> 0.4) had higher signal-to-noise ratio, so that we could get a clear BAEP from a few trails by an average and wavelet filter method. Finally, we used this method to select desirable trails, extracted BAEP from every 10 trails and calculated theⅠ-Ⅴinter-waves' latency. The results showed that this strategy of trail selection was efficient. This method can not only achieve better de-noising effect, but also greatly reduce the stimulation time needed as well.

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