Semen evaluation is required to predict fertility. In most rural African communities, facilities for microscopic evaluation of semen are not available. Therefore, an indirect method of predicting semen traits of cocks...Semen evaluation is required to predict fertility. In most rural African communities, facilities for microscopic evaluation of semen are not available. Therefore, an indirect method of predicting semen traits of cocks is required by poultry farmers. The objective of this study was to use factor scores derived from factor analysis of body measurements to predict some semen traits of cocks. Correlation matrix was obtained by calculating the correlations between body measurements and semen traits of cocks. Kais-er-Meyer-Olkin (KMO) measure of sampling adequacy and Bartletts test of sphericity were used to test the appropriateness of factor analysis on the data. The extraction of the factors was done by calculating the eigenvalues of the correlation matrix. Variance maximizing rotation of the transformation matrix was done to facilitate the interpretation of the factor loadings. Two factors with eigenvalues greater than 1 were extracted which accounted for 76.96% of the variations present in the original variables. The two factors were used to obtain the factor score coefficients. When utilized as independent variables in multiple regression analysis, the two factors explained 53.20% and 40.80% of the variations in sperm motility and sperm concentration respectively. Factor 1 had more impact on sperm motility than factor 2 as it was significantly related to it. Factor 2 was significantly more related to sperm concentration than factor 1. The relationship between body measurements and semen volume, live sperm and abnormal sperm were weak and mostly negative. Therefore, they were not predicted using factor scores.展开更多
Objectives: The role of SYNTAX (SX) score in assessing the complexity of coronary artery disease (CAD) is well established. In this study we investigate the relationship between conventional risk factors of CAD with i...Objectives: The role of SYNTAX (SX) score in assessing the complexity of coronary artery disease (CAD) is well established. In this study we investigate the relationship between conventional risk factors of CAD with its complexity using SX score. Methods: The study consisted of 52 patients with CAD who were admitted to Cardiology Department—Menoufia University Hospitals for elective coronary angiography. The overall SX score was calculated prospectively using the SX score algorithm. Then comparison was done between populations with and without each risk factor. Results: There was a statistically significant correlation between age, hypertension, diabetes mellitus, dyslipidemia and smoking with SX score results (p 0.05). In a multivariate regression analysis, including conventional risk factors of CAD as independent covariates, it revealed that aging, having diabetes mellitus and smoking were identified as significant independent risk factors for CAD complexity. Conclusion: Advanced age, having diabetes mellitus and cigarette smoking are considered to be independent risk factors for the complexity of CAD. Therefore, when these factors present, we expect that the SX score of the patient to be high indicating a complex CAD.展开更多
AIM：To detect the impact of insulin-like growth factor-1（IGF-1）and other risk factors for the early prediction of retinopathy of prematurity（ROP）and to establish a scoring system for ROP prediction by using clini...AIM：To detect the impact of insulin-like growth factor-1（IGF-1）and other risk factors for the early prediction of retinopathy of prematurity（ROP）and to establish a scoring system for ROP prediction by using clinical criteria and serum IGF-1 levels.METHODS：The study was conducted with 127 preterm infants.IGF-1 levels in the 1st day of life,1st,2nd,3rd and4th week of life was analyzed.The score was established after logistic regression analysis,considering the impact of each variable on the occurrences of any stage ROP.A validation cohort containing 107 preterm infants was included in the study and the predictive ability of ROP score was calculated.RESULTS：Birth weights（BW）,gestational weeks（GW）and the prevalence of breast milk consumption were lower,respiratory distress syndrome（RDS）,bronchopulmonarydysplasia（BPD）and necrotizing enterocolitis（NEC）were more frequent,the duration of mechanical ventilation and oxygen supplementation was longer in patients with ROP（P〈0.05）.Initial serum IGF-1 levels tended to be lower in newborns who developed ROP.Logistic regression analysis revealed that low BW（〈1250 g）,presence of intraventricular hemorrhage（IVH）and formula feeding increased the risk of ROP.Afterwards,the scoring system was validated on 107 infants.The negative predictive values of a score less than 4 were 84.3%,74.7%and 79.8%while positive predictive values were 76.3%,65.5%and71.6%respectively.CONCLUSION：In addition to BW〈1250 g and IVH,formula consumption was detected as a risk factor for the development of ROP.Breastfeeding is important for prevention of ROP in preterm infants.展开更多
AIM:To determine the contributions of insulin-like growth factor 1 (IGF-1),cytokines and liver disease severity to bone mineral density in patients pre-transplantation.METHODS:Serum IGF-1,tumor necrosis factor-α (TNF...AIM:To determine the contributions of insulin-like growth factor 1 (IGF-1),cytokines and liver disease severity to bone mineral density in patients pre-transplantation.METHODS:Serum IGF-1,tumor necrosis factor-α (TNFα) and interleukin 6 (IL-6) were measured and the Model for End-Stage Liver Disease (MELD) score calculated in 121 adult patients referred to a single centre for liver transplantation.Bone mineral density (BMD) of the lumbar spine and femoral neck were assessed via dual energy X-ray absorptiometry.Demographics,liver disease etiology,medication use and relevant biochemistry were recorded.RESULTS:A total of 117 subjects were included,with low BMD seen in 68.6%,irrespective of disease etiol-ogy.In multivariable analysis,low body mass index (BMI),increased bone turnover and low IGF-1 were independent predictors of low spinal bone density.At the hip,BMI,IGF-1 and vitamin D status were predictive.Despite prevalent elevations of TNFα and IL-6,levels did not correlate with degree of bone loss.The MELD score failed to predict low BMD in this pre-transplant population.CONCLUSION:Osteopenia/osteoporosis is common in advanced liver disease.Low serum IGF-1 is weakly predictive but serum cytokine and MELD score fail to predict the severity of bone disease.展开更多
Objective:To develop a risk scoring model for screening for undiagnosed type 2 diabetes in Chinese population.Methods:A total of 5348 subjects from two districts of Jinan City,Shandong Province,China were enrolled.Gro...Objective:To develop a risk scoring model for screening for undiagnosed type 2 diabetes in Chinese population.Methods:A total of 5348 subjects from two districts of Jinan City,Shandong Province,China were enrolled.Group A (2985) included individuals from east of the city and Group B (2363) from west of the city.Screening questionnaires and a standard oral glucose tolerance test (OGTT) were completed by all subjects.Based on the stepwise logistic regression analysis of Group A,variables were selected to establish the risk scoring model.The validity and effectiveness of this model were evaluated in Group B.Results:Based on stepwise logistic regression analysis performed with data of Group A,variables including age,body mass index (BMI),waist-to-hip ratio (WHR),systolic pressure,diastolic pressure,heart rate,family history of diabetes,and history of high glucose were accepted into the risk scoring model.The risk for having diabetes increased along with aggregate scores.When Youden index was closest to 1,the optimal cutoff value was set up at 51.At this point,the diabetes risk scoring model could identify diabetes patients with a sensitivity of 83.3% and a specificity of 66.5%,making the positive predictive value 12.83% and negative predictive value 98.53%.We compared our model with the Finnish and Danish model and concluded that our model has superior validity in Chinese population.Conclusions:Our diabetes risk scoring model has satisfactory sensitivity and specificity for identifying undiagnosed diabetes in our population,which might be a simple and practical tool suitable for massive diabetes screening.展开更多
BACKGROUND Colorectal cancer is a common digestive cancer worldwide.As a comprehensive treatment for locally advanced rectal cancer(LARC),neoadjuvant therapy(NT)has been increasingly used as the standard treatment for...BACKGROUND Colorectal cancer is a common digestive cancer worldwide.As a comprehensive treatment for locally advanced rectal cancer(LARC),neoadjuvant therapy(NT)has been increasingly used as the standard treatment for clinical stage II/III rectal cancer.However,few patients achieve a complete pathological response,and most patients require surgical resection and adjuvant therapy.Therefore,identifying risk factors and developing accurate models to predict the prognosis of LARC patients are of great clinical significance.AIM To establish effective prognostic nomograms and risk score prediction models to predict overall survival(OS)and disease-free survival(DFS)for LARC treated with NT.METHODS Nomograms and risk factor score prediction models were based on patients who received NT at the Cancer Hospital from 2015 to 2017.The least absolute shrinkage and selection operator regression model were utilized to screen for prognostic risk factors,which were validated by the Cox regression method.Assessment of the performance of the two prediction models was conducted using receiver operating characteristic curves,and that of the two nomograms was conducted by calculating the concordance index(C-index)and calibration curves.The results were validated in a cohort of 65 patients from 2015 to 2017.RESULTS Seven features were significantly associated with OS and were included in the OS prediction nomogram and prediction model:Vascular_tumors_bolt,cancer nodules,yN,body mass index,matchmouth distance from the edge,nerve aggression and postoperative carcinoembryonic antigen.The nomogram showed good predictive value for OS,with a C-index of 0.91(95%CI:0.85,0.97)and good calibration.In the validation cohort,the C-index was 0.69(95%CI:0.53,0.84).The risk factor prediction model showed good predictive value.The areas under the curve for 3-and 5-year survival were 0.811 and 0.782.The nomogram for predicting DFS included ypTNM and nerve aggression and showed good calibration and a C-index of 0.77(95%CI:0.69,0.85).In the validation cohort,the C-index was 0.71(95%CI:0.61,0.81).The prediction model for DFS also had good predictive value,with an AUC for 3-year survival of 0.784 and an AUC for 5-year survival of 0.754.CONCLUSION We established accurate nomograms and prediction models for predicting OS and DFS in patients with LARC after undergoing NT.展开更多
According to the 2008 Statistics Bulletin of the National Economic and Social Development of Hubei Province,factor analysis method is used to study on the development of county economy in Hubei Province.Result shows t...According to the 2008 Statistics Bulletin of the National Economic and Social Development of Hubei Province,factor analysis method is used to study on the development of county economy in Hubei Province.Result shows that there are great differences in the economic development and the development is imbalanced.The 76 counties(cities,districts)in Hubei Province are divided into three types of F>1,0<F<1 and F<0,that is,areas with relatively developed county economy,areas with medium developed county economy and areas with less developed county economy.Finally,countermeasures to accelerate the development of county economy are put forward,such as adhering to the reform of market economy,developing private economy,speeding up the process of industrialization,making efforts to support leading enterprises,promoting the industrialized operation of agriculture,further attracting foreign investment,carrying out industrialization during the development of projects and enterprises,changing soft environment by measures,and promoting the development of county economy by innovation.展开更多
目的探讨多发伤患者院内死亡的独立危险因素并分析各危险因素的预测价值。方法采用回顾性队列研究分析2020年9月至2024年9月安徽医科大学第二附属医院急诊外科收治的245例多发伤患者临床资料,其中男177例,女68例;年龄18~87(50.4±14...目的探讨多发伤患者院内死亡的独立危险因素并分析各危险因素的预测价值。方法采用回顾性队列研究分析2020年9月至2024年9月安徽医科大学第二附属医院急诊外科收治的245例多发伤患者临床资料,其中男177例,女68例;年龄18~87(50.4±14.6)岁;损伤部位:头颈部(78例),胸部(154例),腹部(166例),四肢骨盆(91例);根据院内是否死亡分为死亡组(27例)和生存组(218例)。比较两组基线资料及临床资料,包括性别、年龄、致伤原因、损伤部位、损伤严重度评分(injury severity score,ISS)、到达抢救室时生命体征[呼吸次数、心率、平均动脉压(mean arterial pressure,MAP)、体温)]、血液学指标[白细胞计数(white blood cell count,WBC)、血红蛋白(hemoglobin,Hb)、血小板计数(platelet count,PLT)、尿素氮(urea nitrogen,BUN)、肌酐(creatinine,Cr)、钠离子(sodium ion,Na^(+))、钾离子(potassium ion,K^(+))、活化部分凝血活酶时间(activated part of the thromboplastin time,APTT)、凝血酶原时间(prothrombin time,PT)、国际化标准比值(international standard ratio,INR)、纤维蛋白原(fibrinogen,FIB)]等。先通过单因素分析比较死亡组和生存组间基线及上述临床资料差异,再采用多因素Logistic回归分析确定多发伤患者院内死亡的独立危险因素,通过MedCalc统计软件绘制受试者工作特征(receiver operating characteristic,ROC)曲线,分析各危险因素预测多发伤患者院内死亡的效能。结果单因素分析表明,两组间在损伤部位、ISS评分、休克指数、心率、体温、MAP、Hb、PLT、Cr、Na^(+)、APTT、PT、INR、FIB方面差异有统计学意义(P<0.05或0.01),两组间在性别、致伤原因、年龄、呼吸次数、WBC、BUN、K^(+)差异无统计学意义(P>0.05)。多因素Logistic回归分析表明MAP、Hb、PLT、APTT、PT、FIB与多发伤患者院内死亡有显著相关(P<0.05或0.01)。ROC曲线分析结果表明,MAP、Hb、PLT、APTT、PT、FIB预测多发伤患者院内死亡的曲线下面积(area under the curve,AUC)分别为0.925(0.885,0.955)、0.766(0.708,0.817)、0.725(0.664,0.780)、0.854(0.804,0.896)、0.900(0.855,0.934)、0.835(0.782,0.879)。结论MAP降低、Hb减少、PLT减少、APTT和PT延长、FIB降低是多发伤患者院内死亡的独立危险因素。展开更多
Taking the rural economic indicator data in 17 cities(regions)of Hubei Province in 2009 as samples,this paper establishes evaluation index system of rural economic development in Hubei Province,uses factor analysis me...Taking the rural economic indicator data in 17 cities(regions)of Hubei Province in 2009 as samples,this paper establishes evaluation index system of rural economic development in Hubei Province,uses factor analysis method for analysis,and draws out four factors.The conclusion is objective and believable,which meshes with the reality well.Finally the policy suggestions and implementation measures are put forward to promote the rural economic development in Hubei Province as follows:first,promote the farmers'income to increase continuously,and improve the living standards of farmers;second,implement the policies of benefiting farmers and making farmers powerful,and propel the resource factors to be allocated in rural areas;third,promote the level of modern agricultural equipment,and promote the transformation of agricultural development mode;fourth,coordinate and promote urban-rural reform,and speed up the improvement of rural livelihood.展开更多
文摘Semen evaluation is required to predict fertility. In most rural African communities, facilities for microscopic evaluation of semen are not available. Therefore, an indirect method of predicting semen traits of cocks is required by poultry farmers. The objective of this study was to use factor scores derived from factor analysis of body measurements to predict some semen traits of cocks. Correlation matrix was obtained by calculating the correlations between body measurements and semen traits of cocks. Kais-er-Meyer-Olkin (KMO) measure of sampling adequacy and Bartletts test of sphericity were used to test the appropriateness of factor analysis on the data. The extraction of the factors was done by calculating the eigenvalues of the correlation matrix. Variance maximizing rotation of the transformation matrix was done to facilitate the interpretation of the factor loadings. Two factors with eigenvalues greater than 1 were extracted which accounted for 76.96% of the variations present in the original variables. The two factors were used to obtain the factor score coefficients. When utilized as independent variables in multiple regression analysis, the two factors explained 53.20% and 40.80% of the variations in sperm motility and sperm concentration respectively. Factor 1 had more impact on sperm motility than factor 2 as it was significantly related to it. Factor 2 was significantly more related to sperm concentration than factor 1. The relationship between body measurements and semen volume, live sperm and abnormal sperm were weak and mostly negative. Therefore, they were not predicted using factor scores.
文摘Objectives: The role of SYNTAX (SX) score in assessing the complexity of coronary artery disease (CAD) is well established. In this study we investigate the relationship between conventional risk factors of CAD with its complexity using SX score. Methods: The study consisted of 52 patients with CAD who were admitted to Cardiology Department—Menoufia University Hospitals for elective coronary angiography. The overall SX score was calculated prospectively using the SX score algorithm. Then comparison was done between populations with and without each risk factor. Results: There was a statistically significant correlation between age, hypertension, diabetes mellitus, dyslipidemia and smoking with SX score results (p 0.05). In a multivariate regression analysis, including conventional risk factors of CAD as independent covariates, it revealed that aging, having diabetes mellitus and smoking were identified as significant independent risk factors for CAD complexity. Conclusion: Advanced age, having diabetes mellitus and cigarette smoking are considered to be independent risk factors for the complexity of CAD. Therefore, when these factors present, we expect that the SX score of the patient to be high indicating a complex CAD.
文摘AIM：To detect the impact of insulin-like growth factor-1（IGF-1）and other risk factors for the early prediction of retinopathy of prematurity（ROP）and to establish a scoring system for ROP prediction by using clinical criteria and serum IGF-1 levels.METHODS：The study was conducted with 127 preterm infants.IGF-1 levels in the 1st day of life,1st,2nd,3rd and4th week of life was analyzed.The score was established after logistic regression analysis,considering the impact of each variable on the occurrences of any stage ROP.A validation cohort containing 107 preterm infants was included in the study and the predictive ability of ROP score was calculated.RESULTS：Birth weights（BW）,gestational weeks（GW）and the prevalence of breast milk consumption were lower,respiratory distress syndrome（RDS）,bronchopulmonarydysplasia（BPD）and necrotizing enterocolitis（NEC）were more frequent,the duration of mechanical ventilation and oxygen supplementation was longer in patients with ROP（P〈0.05）.Initial serum IGF-1 levels tended to be lower in newborns who developed ROP.Logistic regression analysis revealed that low BW（〈1250 g）,presence of intraventricular hemorrhage（IVH）and formula feeding increased the risk of ROP.Afterwards,the scoring system was validated on 107 infants.The negative predictive values of a score less than 4 were 84.3%,74.7%and 79.8%while positive predictive values were 76.3%,65.5%and71.6%respectively.CONCLUSION：In addition to BW〈1250 g and IVH,formula consumption was detected as a risk factor for the development of ROP.Breastfeeding is important for prevention of ROP in preterm infants.
基金Supported by the Transplant Program of the University of Alberta Hospital
文摘AIM:To determine the contributions of insulin-like growth factor 1 (IGF-1),cytokines and liver disease severity to bone mineral density in patients pre-transplantation.METHODS:Serum IGF-1,tumor necrosis factor-α (TNFα) and interleukin 6 (IL-6) were measured and the Model for End-Stage Liver Disease (MELD) score calculated in 121 adult patients referred to a single centre for liver transplantation.Bone mineral density (BMD) of the lumbar spine and femoral neck were assessed via dual energy X-ray absorptiometry.Demographics,liver disease etiology,medication use and relevant biochemistry were recorded.RESULTS:A total of 117 subjects were included,with low BMD seen in 68.6%,irrespective of disease etiol-ogy.In multivariable analysis,low body mass index (BMI),increased bone turnover and low IGF-1 were independent predictors of low spinal bone density.At the hip,BMI,IGF-1 and vitamin D status were predictive.Despite prevalent elevations of TNFα and IL-6,levels did not correlate with degree of bone loss.The MELD score failed to predict low BMD in this pre-transplant population.CONCLUSION:Osteopenia/osteoporosis is common in advanced liver disease.Low serum IGF-1 is weakly predictive but serum cytokine and MELD score fail to predict the severity of bone disease.
基金Project (No. 963000052) supported by the Science and Technology Department of Shandong Province, China
文摘Objective:To develop a risk scoring model for screening for undiagnosed type 2 diabetes in Chinese population.Methods:A total of 5348 subjects from two districts of Jinan City,Shandong Province,China were enrolled.Group A (2985) included individuals from east of the city and Group B (2363) from west of the city.Screening questionnaires and a standard oral glucose tolerance test (OGTT) were completed by all subjects.Based on the stepwise logistic regression analysis of Group A,variables were selected to establish the risk scoring model.The validity and effectiveness of this model were evaluated in Group B.Results:Based on stepwise logistic regression analysis performed with data of Group A,variables including age,body mass index (BMI),waist-to-hip ratio (WHR),systolic pressure,diastolic pressure,heart rate,family history of diabetes,and history of high glucose were accepted into the risk scoring model.The risk for having diabetes increased along with aggregate scores.When Youden index was closest to 1,the optimal cutoff value was set up at 51.At this point,the diabetes risk scoring model could identify diabetes patients with a sensitivity of 83.3% and a specificity of 66.5%,making the positive predictive value 12.83% and negative predictive value 98.53%.We compared our model with the Finnish and Danish model and concluded that our model has superior validity in Chinese population.Conclusions:Our diabetes risk scoring model has satisfactory sensitivity and specificity for identifying undiagnosed diabetes in our population,which might be a simple and practical tool suitable for massive diabetes screening.
文摘BACKGROUND Colorectal cancer is a common digestive cancer worldwide.As a comprehensive treatment for locally advanced rectal cancer(LARC),neoadjuvant therapy(NT)has been increasingly used as the standard treatment for clinical stage II/III rectal cancer.However,few patients achieve a complete pathological response,and most patients require surgical resection and adjuvant therapy.Therefore,identifying risk factors and developing accurate models to predict the prognosis of LARC patients are of great clinical significance.AIM To establish effective prognostic nomograms and risk score prediction models to predict overall survival(OS)and disease-free survival(DFS)for LARC treated with NT.METHODS Nomograms and risk factor score prediction models were based on patients who received NT at the Cancer Hospital from 2015 to 2017.The least absolute shrinkage and selection operator regression model were utilized to screen for prognostic risk factors,which were validated by the Cox regression method.Assessment of the performance of the two prediction models was conducted using receiver operating characteristic curves,and that of the two nomograms was conducted by calculating the concordance index(C-index)and calibration curves.The results were validated in a cohort of 65 patients from 2015 to 2017.RESULTS Seven features were significantly associated with OS and were included in the OS prediction nomogram and prediction model:Vascular_tumors_bolt,cancer nodules,yN,body mass index,matchmouth distance from the edge,nerve aggression and postoperative carcinoembryonic antigen.The nomogram showed good predictive value for OS,with a C-index of 0.91(95%CI:0.85,0.97)and good calibration.In the validation cohort,the C-index was 0.69(95%CI:0.53,0.84).The risk factor prediction model showed good predictive value.The areas under the curve for 3-and 5-year survival were 0.811 and 0.782.The nomogram for predicting DFS included ypTNM and nerve aggression and showed good calibration and a C-index of 0.77(95%CI:0.69,0.85).In the validation cohort,the C-index was 0.71(95%CI:0.61,0.81).The prediction model for DFS also had good predictive value,with an AUC for 3-year survival of 0.784 and an AUC for 5-year survival of 0.754.CONCLUSION We established accurate nomograms and prediction models for predicting OS and DFS in patients with LARC after undergoing NT.
基金Supported by the Natural Science Foundation of China(60873021/F0201)
文摘According to the 2008 Statistics Bulletin of the National Economic and Social Development of Hubei Province,factor analysis method is used to study on the development of county economy in Hubei Province.Result shows that there are great differences in the economic development and the development is imbalanced.The 76 counties(cities,districts)in Hubei Province are divided into three types of F>1,0<F<1 and F<0,that is,areas with relatively developed county economy,areas with medium developed county economy and areas with less developed county economy.Finally,countermeasures to accelerate the development of county economy are put forward,such as adhering to the reform of market economy,developing private economy,speeding up the process of industrialization,making efforts to support leading enterprises,promoting the industrialized operation of agriculture,further attracting foreign investment,carrying out industrialization during the development of projects and enterprises,changing soft environment by measures,and promoting the development of county economy by innovation.
文摘目的探讨多发伤患者院内死亡的独立危险因素并分析各危险因素的预测价值。方法采用回顾性队列研究分析2020年9月至2024年9月安徽医科大学第二附属医院急诊外科收治的245例多发伤患者临床资料,其中男177例,女68例;年龄18~87(50.4±14.6)岁;损伤部位:头颈部(78例),胸部(154例),腹部(166例),四肢骨盆(91例);根据院内是否死亡分为死亡组(27例)和生存组(218例)。比较两组基线资料及临床资料,包括性别、年龄、致伤原因、损伤部位、损伤严重度评分(injury severity score,ISS)、到达抢救室时生命体征[呼吸次数、心率、平均动脉压(mean arterial pressure,MAP)、体温)]、血液学指标[白细胞计数(white blood cell count,WBC)、血红蛋白(hemoglobin,Hb)、血小板计数(platelet count,PLT)、尿素氮(urea nitrogen,BUN)、肌酐(creatinine,Cr)、钠离子(sodium ion,Na^(+))、钾离子(potassium ion,K^(+))、活化部分凝血活酶时间(activated part of the thromboplastin time,APTT)、凝血酶原时间(prothrombin time,PT)、国际化标准比值(international standard ratio,INR)、纤维蛋白原(fibrinogen,FIB)]等。先通过单因素分析比较死亡组和生存组间基线及上述临床资料差异,再采用多因素Logistic回归分析确定多发伤患者院内死亡的独立危险因素,通过MedCalc统计软件绘制受试者工作特征(receiver operating characteristic,ROC)曲线,分析各危险因素预测多发伤患者院内死亡的效能。结果单因素分析表明,两组间在损伤部位、ISS评分、休克指数、心率、体温、MAP、Hb、PLT、Cr、Na^(+)、APTT、PT、INR、FIB方面差异有统计学意义(P<0.05或0.01),两组间在性别、致伤原因、年龄、呼吸次数、WBC、BUN、K^(+)差异无统计学意义(P>0.05)。多因素Logistic回归分析表明MAP、Hb、PLT、APTT、PT、FIB与多发伤患者院内死亡有显著相关(P<0.05或0.01)。ROC曲线分析结果表明,MAP、Hb、PLT、APTT、PT、FIB预测多发伤患者院内死亡的曲线下面积(area under the curve,AUC)分别为0.925(0.885,0.955)、0.766(0.708,0.817)、0.725(0.664,0.780)、0.854(0.804,0.896)、0.900(0.855,0.934)、0.835(0.782,0.879)。结论MAP降低、Hb减少、PLT减少、APTT和PT延长、FIB降低是多发伤患者院内死亡的独立危险因素。
文摘Taking the rural economic indicator data in 17 cities(regions)of Hubei Province in 2009 as samples,this paper establishes evaluation index system of rural economic development in Hubei Province,uses factor analysis method for analysis,and draws out four factors.The conclusion is objective and believable,which meshes with the reality well.Finally the policy suggestions and implementation measures are put forward to promote the rural economic development in Hubei Province as follows:first,promote the farmers'income to increase continuously,and improve the living standards of farmers;second,implement the policies of benefiting farmers and making farmers powerful,and propel the resource factors to be allocated in rural areas;third,promote the level of modern agricultural equipment,and promote the transformation of agricultural development mode;fourth,coordinate and promote urban-rural reform,and speed up the improvement of rural livelihood.
