Hypertension, obesity, smoking, dyslipidemia, and type 2 diabetes (T2D) are the major risk factors for developing cardiovascular diseases (CVD). Recent studies revealed that taxi-motorbike drivers (TMDs) in Cotonou ha...Hypertension, obesity, smoking, dyslipidemia, and type 2 diabetes (T2D) are the major risk factors for developing cardiovascular diseases (CVD). Recent studies revealed that taxi-motorbike drivers (TMDs) in Cotonou had higher rates of CVD risk factors, but their impacts on cardiovascular events have rarely been studied. The Framingham risk score (FRS) is an algorithm that considers CVD risk factors and estimates the risk of developing CVD in the next 10 years. Our objectives were to assess the 10-year CVD risk predicted by the FRS, and to examine the relationships of 10-year CVD risk with plasma iron and potassium levels among TMDs. We included 134 TMDs (22 - 59 years old) who had no prior diagnosis of CVD or T2D, and not taking medications affecting iron and potassium homeostasis. Conventional cardiovascular risk factors were used to calculate the 10-year CVD risk, which was categorized as low (20%). FRS > 2%, which corresponded to the 75th percentile of FRS distribution in our study population, was used as a cut-off value to classify participants into two groups. Plasma iron and potassium levels were segregated into tertiles and their associations with 10-year CVD risk were quantified by multivariate-adjusted logistic regression to calculate the odd ratios (ORs) to being above the 75<sup>th</sup> percentile of 10-year CVD risk with the corresponding 95% confidence intervals (CIs). We found that 62.0% of participants had at least one of cardiovascular risk factors. Approximately 97.8% of TMDs had 10-year CVD risk 4.8 mmol/L led to an 83% risk reduction of having 10-year CVD risk > 2% (OR = 0.17, 95% CI: 0.04 - 0.82, P = 0.027). In conclusion, our findings showed that high plasma potassium levels associate with reduced 10-year CVD risk among TMDs. Interventions focused on monitoring of plasma potassium, particularly in those with existing cardiovascular risk factors, may help prevent CVD.展开更多
Objective The study aims to predict 10-year cardiovascular disease(CVD)risk and explore its association with sleep duration among Chinese urban adults.Methods We analyzed part of the baseline data of a cohort that rec...Objective The study aims to predict 10-year cardiovascular disease(CVD)risk and explore its association with sleep duration among Chinese urban adults.Methods We analyzed part of the baseline data of a cohort that recruited adults for health screening by cluster sampling.The simplified Pittsburgh Sleep Quality Index(PSQI)and Framingham 10-year risk score(FRS)were used to measure sleep duration and CVD risk.Demographic characteristics,personal history of chronic diseases,lifestyle factors were collected using a questionnaire.Height,weight,total cholesterol(TC),and high-density lipoprotein cholesterol(HDL-C)were also measured.Multiple logistic regression models were performed to explore the association of sleep duration with the predicted CVD risk.Results We included 31,135 participants(median age 44 years,53.02%males)free of CVD,cerebral stroke,and not taking lipid-lowering agents.Overall,14.05%,and 25.55%of participants were at medium and high predicted CVD risk,respectively.Short sleep was independently associated with increased odds of medium to high risk of predicted 10-year CVD among males(OR=1.10;95%CI:1.01–1.19)and increased odds of medium to high and high risk of predicted 10-year CVD among females(OR=1.23;95%CI:1.08–1.40;OR=1.27;95%CI:1.11–1.44).In contrast,long sleep had no association with cardiovascular risk.Conclusion A substantial number of adults free of CVD were at high 10-year CVD risk.Short sleep was associated with increased odds of predicted CVD risk.展开更多
Objective The objective of this study is to determine whether coronary atherosclerotic plaque composition is associated with cardiovascular disease(CVD) risk in Chinese adults. Methods We performed a cross-sectional a...Objective The objective of this study is to determine whether coronary atherosclerotic plaque composition is associated with cardiovascular disease(CVD) risk in Chinese adults. Methods We performed a cross-sectional analysis in 549 subjects without previous diagnosis or clinical symptoms of CVD in a community cohort of middle-aged Chinese adults. The participants underwent coronary computed tomography(CT) angiography for the evaluation of the presence and composition of coronary plaques. CVD risk was evaluated by the Framingham risk score(FRS) and the 10-year atherosclerotic cardiovascular disease(ASCVD) risk score. Results Among the 549 participants, 267(48.6%) had no coronary plaques, 201(36.6%) had noncalcified coronary plaques, and 81(14.8%) had calcified or mixed coronary plaques. The measures of CVD risk including FRS and ASCVD risk score and the likelihood of having elevated FRS significantly increased across the groups of participants without coronary plaques, with noncalcified coronary plaques, and with calcified or mixed coronary plaques. However, only calcified or mixed coronary plaques were significantly associated with an elevated ASCVD risk score [odds ratio(OR) 2.41; 95% confidence interval(CI) 1.09-5.32] compared with no coronary plaques, whereas no significant association was found for noncalcified coronary plaques and elevated ASCVD risk score(OR 1.25; 95% CI 0.71-2.21) after multivariable adjustment. Conclusion Calcified or mixed coronary plaques might be more associated with an elevated likelihood of having CVD than noncalcified coronary plaques.展开更多
This study examines the spillover effects of U.S.monetary policy normalization on Nigeria 10-Year Treasury bond yield between 2011 and 2017,using the vector error correction model approach.Our results reveal that dome...This study examines the spillover effects of U.S.monetary policy normalization on Nigeria 10-Year Treasury bond yield between 2011 and 2017,using the vector error correction model approach.Our results reveal that domestic factors,such as exchange rate and inflation,rather than the U.S.10-Year sovereign bond yield,are the key drivers of Nigeria 10-Year bond yield.Additionally,the spillover effect from the U.S.monetary policy was amplified by oil price shocks and changes in Nigeria’s monetary policy rates.Our counterfactual analysis confirms the findings.展开更多
We applied <em>n</em>-variable conserving nonlinear differential equations (<em>n</em>-CNDEs) to the population data of the 10-year cycles of Canadian lynx (1821-2016) and the snowshoe hare (18...We applied <em>n</em>-variable conserving nonlinear differential equations (<em>n</em>-CNDEs) to the population data of the 10-year cycles of Canadian lynx (1821-2016) and the snowshoe hare (1845-1921). Modeling external effects as perturbations to population dynamics, recovering and restorations from disintegrations (or extinctions), stability and survival strategies are discussed in terms of the conservation law inherent to dynamical interactions among species. The 2-variable conserving nonlinear interaction (2CNIs) is extended to 3, 4, ... <em>n</em>-variable conserving nonlinear interactions (<em>n</em>-CNIs) of species by adjusting minimum unknown parameters. The population cycle of species is a manifestation of conservation laws existing in complicated ecosystems, which is suggested from the CNDE analysis as <em>a standard rhythm</em> of interactions. The ecosystem is a consequence of the long history of nonlinear interactions and evolutions among life-beings and the natural environment, and the population dynamics of an ecosystem are observed as approximate CNIs. Physical analyses of the conserving quantity in nonlinear interactions would help us understand why and how they have developed. The standard rhythm found in nonlinear interactions should be considered as a manifestation of the survival strategy and the survival of the fittest to the balance of biological systems. The CNDEs and nonlinear differential equations with time-dependent coefficients would help find useful physical information on the survival of the fittest and symbiosis in an ecosystem.展开更多
Aim:Long-term survival after hepatocellular cancer(HCC)is difficult to achieve likely related to recurrence.This study aimed to identify factors that were predictive of 10-year survival after the diagnosis of HCC.Meth...Aim:Long-term survival after hepatocellular cancer(HCC)is difficult to achieve likely related to recurrence.This study aimed to identify factors that were predictive of 10-year survival after the diagnosis of HCC.Methods:In a prospectively collected database of 1374 HCC cases(1993-2019),we identified 70 patients who survived over 10 years regardless of treatment.We then identified 164 patients in the entire cohort who either had liver resection or transplant,and died before 10 years.Demographics,tumor characteristics,treatment,recurrence and treatment of recurrence were compared.Results:Of the 10-year survivors,36 underwent transplant,27 had liver resection and 7 patients had only locoregional therapy.Compared to the non-survivors,the 10-year survivors were younger and had fewer comorbidities or recurrence,smaller tumor size,lower AST,ALT,AFP,platelets,neutrophil-to-lymphocyte ratio.Multivariate analysis showed only age and diabetes to be negative predictors.Recurrence occurred in 24 survivors(34.3%)with mean time to recurrence with standard deviation 57.1±42.6 months compared to 80 non-survivors(48.7%)with mean time to recurrence of 15.3±14.8 months.For hepatic resection,10-year survivors had longer time to recurrence compared to non-survivors(median:31.3 months).Conclusion:Long-term survivors mostly occur after resection or transplant,but 10%of our cohort survived 10 years with only locoregional therapy.Underlying health status maybe an important predictor of 10-year survival for ;patients receiving liver resections.Recurrence of HCC occurs in both 10-year survivors and non-survivors,but later recurrence with aggressive treatment of the recurrence may allow for 10-year survival.展开更多
Rainfall erosivity,one of the factors in the Universal Soil Loss Equation.quantifies the effect of rainfall and runoffon soil erosion.High-resolution data are required to compute rainfall erosivity,but are not widely ...Rainfall erosivity,one of the factors in the Universal Soil Loss Equation.quantifies the effect of rainfall and runoffon soil erosion.High-resolution data are required to compute rainfall erosivity,but are not widely available in many parts of the world.As the temporal resolution of rainfall measurement decreases,computed rainfall erosivity decreases.The objective of the paper is to derive a series of conversion factors as a function of the time interval to compute rainfall erosivity so that the R factor computed using data at different time intervals could be converted to that computed using 1-min data.Rainfall data at 1-min intervals from 62 stations over China were collected to first compute the~ue'R factor values.Underestimation of the R factor was systematically evaluated using data aggregated at 5,6.10,15,20,30,and 60-min to develop conversion factors for the R factor and the 1-in-10-year storm EI30 values.Compared with true values,the relative error in R factor using data at fixed intervals of≤10min was<10%for at least 44 out of 62 stations.Errors increased rapidly when the time interval of the rainfall data exceeded 15 min.Relative errors were>10%using 15-min data for 66.1%of stations and>20%using 30-min data for 61.3%of stations.The conversion factors for the R factor,ranging from 1.051 to 1.871 for 5 to 60-min data,are higher than those for the 1-in-10-years storm EI30,ranging from 1.034 to 1.489 for the 62stations.展开更多
文摘Hypertension, obesity, smoking, dyslipidemia, and type 2 diabetes (T2D) are the major risk factors for developing cardiovascular diseases (CVD). Recent studies revealed that taxi-motorbike drivers (TMDs) in Cotonou had higher rates of CVD risk factors, but their impacts on cardiovascular events have rarely been studied. The Framingham risk score (FRS) is an algorithm that considers CVD risk factors and estimates the risk of developing CVD in the next 10 years. Our objectives were to assess the 10-year CVD risk predicted by the FRS, and to examine the relationships of 10-year CVD risk with plasma iron and potassium levels among TMDs. We included 134 TMDs (22 - 59 years old) who had no prior diagnosis of CVD or T2D, and not taking medications affecting iron and potassium homeostasis. Conventional cardiovascular risk factors were used to calculate the 10-year CVD risk, which was categorized as low (20%). FRS > 2%, which corresponded to the 75th percentile of FRS distribution in our study population, was used as a cut-off value to classify participants into two groups. Plasma iron and potassium levels were segregated into tertiles and their associations with 10-year CVD risk were quantified by multivariate-adjusted logistic regression to calculate the odd ratios (ORs) to being above the 75<sup>th</sup> percentile of 10-year CVD risk with the corresponding 95% confidence intervals (CIs). We found that 62.0% of participants had at least one of cardiovascular risk factors. Approximately 97.8% of TMDs had 10-year CVD risk 4.8 mmol/L led to an 83% risk reduction of having 10-year CVD risk > 2% (OR = 0.17, 95% CI: 0.04 - 0.82, P = 0.027). In conclusion, our findings showed that high plasma potassium levels associate with reduced 10-year CVD risk among TMDs. Interventions focused on monitoring of plasma potassium, particularly in those with existing cardiovascular risk factors, may help prevent CVD.
基金the National Key R&D Program in the Thirteenth Five-year Plan from the Chinese Ministry of Science and Technology[No.2016YFC0900600,2016YFC0900604]。
文摘Objective The study aims to predict 10-year cardiovascular disease(CVD)risk and explore its association with sleep duration among Chinese urban adults.Methods We analyzed part of the baseline data of a cohort that recruited adults for health screening by cluster sampling.The simplified Pittsburgh Sleep Quality Index(PSQI)and Framingham 10-year risk score(FRS)were used to measure sleep duration and CVD risk.Demographic characteristics,personal history of chronic diseases,lifestyle factors were collected using a questionnaire.Height,weight,total cholesterol(TC),and high-density lipoprotein cholesterol(HDL-C)were also measured.Multiple logistic regression models were performed to explore the association of sleep duration with the predicted CVD risk.Results We included 31,135 participants(median age 44 years,53.02%males)free of CVD,cerebral stroke,and not taking lipid-lowering agents.Overall,14.05%,and 25.55%of participants were at medium and high predicted CVD risk,respectively.Short sleep was independently associated with increased odds of medium to high risk of predicted 10-year CVD among males(OR=1.10;95%CI:1.01–1.19)and increased odds of medium to high and high risk of predicted 10-year CVD among females(OR=1.23;95%CI:1.08–1.40;OR=1.27;95%CI:1.11–1.44).In contrast,long sleep had no association with cardiovascular risk.Conclusion A substantial number of adults free of CVD were at high 10-year CVD risk.Short sleep was associated with increased odds of predicted CVD risk.
基金supported by the grants from National Key R&D Program of China [2017YFC1310700,2016YFC1305600]the National Natural Science Foundation of China [81622011,81561128019]+2 种基金the Shanghai Municipal Commission of Health and Family Planning [15GWZK0802]the'Gaofeng Gaoyuan Program for Clinical Scientists'from Shanghai Jiao-Tong University School of Medicine [20161301,20161307]Dr.Yu Xu was supported by the'Outstanding Young Talent Program'from Shanghai Municipal Government
文摘Objective The objective of this study is to determine whether coronary atherosclerotic plaque composition is associated with cardiovascular disease(CVD) risk in Chinese adults. Methods We performed a cross-sectional analysis in 549 subjects without previous diagnosis or clinical symptoms of CVD in a community cohort of middle-aged Chinese adults. The participants underwent coronary computed tomography(CT) angiography for the evaluation of the presence and composition of coronary plaques. CVD risk was evaluated by the Framingham risk score(FRS) and the 10-year atherosclerotic cardiovascular disease(ASCVD) risk score. Results Among the 549 participants, 267(48.6%) had no coronary plaques, 201(36.6%) had noncalcified coronary plaques, and 81(14.8%) had calcified or mixed coronary plaques. The measures of CVD risk including FRS and ASCVD risk score and the likelihood of having elevated FRS significantly increased across the groups of participants without coronary plaques, with noncalcified coronary plaques, and with calcified or mixed coronary plaques. However, only calcified or mixed coronary plaques were significantly associated with an elevated ASCVD risk score [odds ratio(OR) 2.41; 95% confidence interval(CI) 1.09-5.32] compared with no coronary plaques, whereas no significant association was found for noncalcified coronary plaques and elevated ASCVD risk score(OR 1.25; 95% CI 0.71-2.21) after multivariable adjustment. Conclusion Calcified or mixed coronary plaques might be more associated with an elevated likelihood of having CVD than noncalcified coronary plaques.
文摘This study examines the spillover effects of U.S.monetary policy normalization on Nigeria 10-Year Treasury bond yield between 2011 and 2017,using the vector error correction model approach.Our results reveal that domestic factors,such as exchange rate and inflation,rather than the U.S.10-Year sovereign bond yield,are the key drivers of Nigeria 10-Year bond yield.Additionally,the spillover effect from the U.S.monetary policy was amplified by oil price shocks and changes in Nigeria’s monetary policy rates.Our counterfactual analysis confirms the findings.
文摘We applied <em>n</em>-variable conserving nonlinear differential equations (<em>n</em>-CNDEs) to the population data of the 10-year cycles of Canadian lynx (1821-2016) and the snowshoe hare (1845-1921). Modeling external effects as perturbations to population dynamics, recovering and restorations from disintegrations (or extinctions), stability and survival strategies are discussed in terms of the conservation law inherent to dynamical interactions among species. The 2-variable conserving nonlinear interaction (2CNIs) is extended to 3, 4, ... <em>n</em>-variable conserving nonlinear interactions (<em>n</em>-CNIs) of species by adjusting minimum unknown parameters. The population cycle of species is a manifestation of conservation laws existing in complicated ecosystems, which is suggested from the CNDE analysis as <em>a standard rhythm</em> of interactions. The ecosystem is a consequence of the long history of nonlinear interactions and evolutions among life-beings and the natural environment, and the population dynamics of an ecosystem are observed as approximate CNIs. Physical analyses of the conserving quantity in nonlinear interactions would help us understand why and how they have developed. The standard rhythm found in nonlinear interactions should be considered as a manifestation of the survival strategy and the survival of the fittest to the balance of biological systems. The CNDEs and nonlinear differential equations with time-dependent coefficients would help find useful physical information on the survival of the fittest and symbiosis in an ecosystem.
文摘Aim:Long-term survival after hepatocellular cancer(HCC)is difficult to achieve likely related to recurrence.This study aimed to identify factors that were predictive of 10-year survival after the diagnosis of HCC.Methods:In a prospectively collected database of 1374 HCC cases(1993-2019),we identified 70 patients who survived over 10 years regardless of treatment.We then identified 164 patients in the entire cohort who either had liver resection or transplant,and died before 10 years.Demographics,tumor characteristics,treatment,recurrence and treatment of recurrence were compared.Results:Of the 10-year survivors,36 underwent transplant,27 had liver resection and 7 patients had only locoregional therapy.Compared to the non-survivors,the 10-year survivors were younger and had fewer comorbidities or recurrence,smaller tumor size,lower AST,ALT,AFP,platelets,neutrophil-to-lymphocyte ratio.Multivariate analysis showed only age and diabetes to be negative predictors.Recurrence occurred in 24 survivors(34.3%)with mean time to recurrence with standard deviation 57.1±42.6 months compared to 80 non-survivors(48.7%)with mean time to recurrence of 15.3±14.8 months.For hepatic resection,10-year survivors had longer time to recurrence compared to non-survivors(median:31.3 months).Conclusion:Long-term survivors mostly occur after resection or transplant,but 10%of our cohort survived 10 years with only locoregional therapy.Underlying health status maybe an important predictor of 10-year survival for ;patients receiving liver resections.Recurrence of HCC occurs in both 10-year survivors and non-survivors,but later recurrence with aggressive treatment of the recurrence may allow for 10-year survival.
基金the Second Tibetan Plateau Scien tifc Expedition and Research Program(STEP)(No.2019QZKK0306)the National Key R&D Program(No.2018YFC0507006)Na tional Natural Science Foundation of China(No.41877068).
文摘Rainfall erosivity,one of the factors in the Universal Soil Loss Equation.quantifies the effect of rainfall and runoffon soil erosion.High-resolution data are required to compute rainfall erosivity,but are not widely available in many parts of the world.As the temporal resolution of rainfall measurement decreases,computed rainfall erosivity decreases.The objective of the paper is to derive a series of conversion factors as a function of the time interval to compute rainfall erosivity so that the R factor computed using data at different time intervals could be converted to that computed using 1-min data.Rainfall data at 1-min intervals from 62 stations over China were collected to first compute the~ue'R factor values.Underestimation of the R factor was systematically evaluated using data aggregated at 5,6.10,15,20,30,and 60-min to develop conversion factors for the R factor and the 1-in-10-year storm EI30 values.Compared with true values,the relative error in R factor using data at fixed intervals of≤10min was<10%for at least 44 out of 62 stations.Errors increased rapidly when the time interval of the rainfall data exceeded 15 min.Relative errors were>10%using 15-min data for 66.1%of stations and>20%using 30-min data for 61.3%of stations.The conversion factors for the R factor,ranging from 1.051 to 1.871 for 5 to 60-min data,are higher than those for the 1-in-10-years storm EI30,ranging from 1.034 to 1.489 for the 62stations.