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
The aim of this study was to determine the prevalence of diabetes and other cardiovascular risk factors (smoking, obesity and high blood pressure) and to evaluate the WHO Global Cardiovascular Risk Score in the popula...The aim of this study was to determine the prevalence of diabetes and other cardiovascular risk factors (smoking, obesity and high blood pressure) and to evaluate the WHO Global Cardiovascular Risk Score in the population of people suspected of COVID-19 infection aged 40 years or older. Material and Methods: This was a descriptive cross-sectional study conducted at the Donka University Hospital from June 1 to July 4, 2020 on subjects received for COVID-19 screening. Results: The prevalence of diabetes in patients suspected of COVID-19 was 7.8% comprising 1.2% of known diabetics and 6.8% of new cases. The prevalence of active smoking was 14.0%. That of sedentary lifestyle and obesity were 10.6% and 17.2% respectively. We found a prevalence of hypertension estimated at 45%, it was unknown in 76.47% of cases. In this series, 33.2% of patients had a high and very high cardiovascular risk (WHO scores). Conclusion: This study reveals a fairly high prevalence of diabetes and other cardiovascular risk factors in the population of people suspected of COVID-19. This observation should lead to the implementation of effective strategies for the prevention of non-communicable diseases in Guinea.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
目的:探讨麻防犀角地黄汤对寻常性银屑病寒包火证患者皮损情况、炎症因子及中医症状评分的影响。方法:选取符合纳入标准的寻常性银屑病寒包火证患者90例,依据随机数字表随机分为麻防犀角地黄汤组、犀角地黄汤组、维A酸乳膏组,每组各30...目的:探讨麻防犀角地黄汤对寻常性银屑病寒包火证患者皮损情况、炎症因子及中医症状评分的影响。方法:选取符合纳入标准的寻常性银屑病寒包火证患者90例,依据随机数字表随机分为麻防犀角地黄汤组、犀角地黄汤组、维A酸乳膏组,每组各30例。维A酸乳膏组给予维A酸乳膏外用,犀角地黄汤组给予犀角地黄汤口服+维A酸乳膏外用,麻防犀角地黄汤组给予麻防犀角地黄汤口服+维A酸乳膏外用,均治疗30 d。观察3组患者治疗前后银屑病面积和严重程度指数(psoriasis area and severity index,PASI)评分、白细胞介素-2(IL-2)、白细胞介素-6(IL-6)、白细胞介素-8(IL-8)、肿瘤坏死因子-α(TNF-α)及鳞屑干燥、脱屑、瘙痒、口干中医症状评分变化情况。结果:治疗后,3组患者PASI评分,中医各症状评分及炎症因子水平均较治疗前降低(P<0.05);与维A酸乳膏组比较,麻防犀角地黄汤组和犀角地黄汤组PASI评分,中医各症状评分及炎症因子水平均降低(P<0.05);与犀角地黄汤组比较,麻防犀角地黄汤组PASI评分,中医各症状评分及炎症因子水平均降低(P<0.05)。结论:麻防犀角地黄汤治疗寻常性银屑病寒包火证疗效显著,患者皮损面积及炎症指标得到明显控制,中医临床症状明显改善。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.
文摘The aim of this study was to determine the prevalence of diabetes and other cardiovascular risk factors (smoking, obesity and high blood pressure) and to evaluate the WHO Global Cardiovascular Risk Score in the population of people suspected of COVID-19 infection aged 40 years or older. Material and Methods: This was a descriptive cross-sectional study conducted at the Donka University Hospital from June 1 to July 4, 2020 on subjects received for COVID-19 screening. Results: The prevalence of diabetes in patients suspected of COVID-19 was 7.8% comprising 1.2% of known diabetics and 6.8% of new cases. The prevalence of active smoking was 14.0%. That of sedentary lifestyle and obesity were 10.6% and 17.2% respectively. We found a prevalence of hypertension estimated at 45%, it was unknown in 76.47% of cases. In this series, 33.2% of patients had a high and very high cardiovascular risk (WHO scores). Conclusion: This study reveals a fairly high prevalence of diabetes and other cardiovascular risk factors in the population of people suspected of COVID-19. This observation should lead to the implementation of effective strategies for the prevention of non-communicable diseases in Guinea.
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.
文摘目的:探讨麻防犀角地黄汤对寻常性银屑病寒包火证患者皮损情况、炎症因子及中医症状评分的影响。方法:选取符合纳入标准的寻常性银屑病寒包火证患者90例,依据随机数字表随机分为麻防犀角地黄汤组、犀角地黄汤组、维A酸乳膏组,每组各30例。维A酸乳膏组给予维A酸乳膏外用,犀角地黄汤组给予犀角地黄汤口服+维A酸乳膏外用,麻防犀角地黄汤组给予麻防犀角地黄汤口服+维A酸乳膏外用,均治疗30 d。观察3组患者治疗前后银屑病面积和严重程度指数(psoriasis area and severity index,PASI)评分、白细胞介素-2(IL-2)、白细胞介素-6(IL-6)、白细胞介素-8(IL-8)、肿瘤坏死因子-α(TNF-α)及鳞屑干燥、脱屑、瘙痒、口干中医症状评分变化情况。结果:治疗后,3组患者PASI评分,中医各症状评分及炎症因子水平均较治疗前降低(P<0.05);与维A酸乳膏组比较,麻防犀角地黄汤组和犀角地黄汤组PASI评分,中医各症状评分及炎症因子水平均降低(P<0.05);与犀角地黄汤组比较,麻防犀角地黄汤组PASI评分,中医各症状评分及炎症因子水平均降低(P<0.05)。结论:麻防犀角地黄汤治疗寻常性银屑病寒包火证疗效显著,患者皮损面积及炎症指标得到明显控制,中医临床症状明显改善。
