Jianghu Dong - Academia.edu (original) (raw)
Papers by Jianghu Dong
Communications in Statistics - Simulation and Computation
Communications in Statistics - Simulation and Computation
Journal of Applied Statistics
Journal of Applied Statistics
PLOS ONE
Background Fifteen percent of US adults have chronic kidney disease (CKD). The effect of CKD on t... more Background Fifteen percent of US adults have chronic kidney disease (CKD). The effect of CKD on the development of different malignancies is unknown. Understanding the effect of CKD on the risk of development of cancer could have important implications for screening and early detection of cancer in these patients. Methods Adult CKD patients [estimated GFR (eGFR) <60ml/min/1.73m2] between January 2001 and December 2020 were identified in this single institution study. Patients were divided into four stages of CKD by eGFR. The incidence of cancer and time to development of the first cancer were identified. Multivariable models were used to compare the overall cancer incidence while considering death as a competing risk event and adjusting for relevant covariates (sex, race, diabetes, hypertension, CAD, smoking or not, BMI, and CKD stages). Separate multivariable models of the incidence of cancers were conducted in each age group. Multivariable Cox models were used to fit the overal...
PLOS ONE
Background Fifteen percent of US adults have chronic kidney disease (CKD). The effect of CKD on t... more Background Fifteen percent of US adults have chronic kidney disease (CKD). The effect of CKD on the development of different malignancies is unknown. Understanding the effect of CKD on the risk of development of cancer could have important implications for screening and early detection of cancer in these patients. Methods Adult CKD patients [estimated GFR (eGFR) <60ml/min/1.73m2] between January 2001 and December 2020 were identified in this single institution study. Patients were divided into four stages of CKD by eGFR. The incidence of cancer and time to development of the first cancer were identified. Multivariable models were used to compare the overall cancer incidence while considering death as a competing risk event and adjusting for relevant covariates (sex, race, diabetes, hypertension, CAD, smoking or not, BMI, and CKD stages). Separate multivariable models of the incidence of cancers were conducted in each age group. Multivariable Cox models were used to fit the overal...
IntroductionThis paper sought to investigate the clinical characteristic differences between susp... more IntroductionThis paper sought to investigate the clinical characteristic differences between suspected and confirmed patients with COVID-19 from CT scan to prevent and treat this infectious disease, since the coronavirus outbreak in the world has seriously affected the quality of life.MethodsWe proposed to use a retrospective case-control study to give a comparison between suspected patients and confirmed patients in the clinical characteristics.Results(56%) patients were confirmed for COVID-19 from suspected 167 patients. We find that elder people were more likely to be infected by COVID-19. Among the confirmed 94 patients, 2 (2%) patients were admitted to an intensive care unit, and 0 (0%) patients died during the study period. We find that images of CT scan of patients with a COVID-19 are significantly different from patients without a COVID-19.ConclusionsTo our best knowledge, it is the first time to use the case-control design to study the coronavirus disease, since it is parti...
IntroductionThis paper sought to investigate the clinical characteristic differences between susp... more IntroductionThis paper sought to investigate the clinical characteristic differences between suspected and confirmed patients with COVID-19 from CT scan to prevent and treat this infectious disease, since the coronavirus outbreak in the world has seriously affected the quality of life.MethodsWe proposed to use a retrospective case-control study to give a comparison between suspected patients and confirmed patients in the clinical characteristics.Results(56%) patients were confirmed for COVID-19 from suspected 167 patients. We find that elder people were more likely to be infected by COVID-19. Among the confirmed 94 patients, 2 (2%) patients were admitted to an intensive care unit, and 0 (0%) patients died during the study period. We find that images of CT scan of patients with a COVID-19 are significantly different from patients without a COVID-19.ConclusionsTo our best knowledge, it is the first time to use the case-control design to study the coronavirus disease, since it is parti...
Journal of Biomechanics, 2022
Patients with peripheral artery disease (PAD) have significantly reduced lower extremity muscle s... more Patients with peripheral artery disease (PAD) have significantly reduced lower extremity muscle strength compared with healthy individuals as measured during isolated, single plane joint motion by isometric and isokinetic strength dynamometers. Alterations to the force contribution of muscles during walking caused by PAD are not well understood. Therefore, this study used simulations with PAD biomechanics data to understand lower extremity muscle functions in patients with PAD during walking and to compare that with healthy older individuals. A total of 12 patients with PAD and 10 age-matched healthy older controls walked across a 10-meter pathway with reflective markers on their lower limbs. Marker coordinates and ground reaction forces were recorded and exported to OpenSim software to perform gait simulations. Walking velocity, joint angles, muscle force, muscle power, and metabolic rate were calculated and compared between patients with PAD and healthy older controls. Our results suggest that patients with PAD walked slower with less hip extension during propulsion. Significant force and power reductions were observed in knee extensors during weight acceptance and in plantar flexors and hip flexors during propulsion in patients with PAD. The estimated metabolic rate of walking during stance was not different between patients with PAD and controls. This study is the first to analyze lower limb muscular responses during walking in patients with PAD using the OpenSim simulation software. The simulation results of this study identified important information about alterations to muscle force and power during walking in those with PAD.
Journal of Biomechanics, 2022
Patients with peripheral artery disease (PAD) have significantly reduced lower extremity muscle s... more Patients with peripheral artery disease (PAD) have significantly reduced lower extremity muscle strength compared with healthy individuals as measured during isolated, single plane joint motion by isometric and isokinetic strength dynamometers. Alterations to the force contribution of muscles during walking caused by PAD are not well understood. Therefore, this study used simulations with PAD biomechanics data to understand lower extremity muscle functions in patients with PAD during walking and to compare that with healthy older individuals. A total of 12 patients with PAD and 10 age-matched healthy older controls walked across a 10-meter pathway with reflective markers on their lower limbs. Marker coordinates and ground reaction forces were recorded and exported to OpenSim software to perform gait simulations. Walking velocity, joint angles, muscle force, muscle power, and metabolic rate were calculated and compared between patients with PAD and healthy older controls. Our results suggest that patients with PAD walked slower with less hip extension during propulsion. Significant force and power reductions were observed in knee extensors during weight acceptance and in plantar flexors and hip flexors during propulsion in patients with PAD. The estimated metabolic rate of walking during stance was not different between patients with PAD and controls. This study is the first to analyze lower limb muscular responses during walking in patients with PAD using the OpenSim simulation software. The simulation results of this study identified important information about alterations to muscle force and power during walking in those with PAD.
Supplemental Material for Functional principal component analysis of glomerular filtration rate c... more Supplemental Material for Functional principal component analysis of glomerular filtration rate curves after kidney transplant by Jianghu J Dong, Liangliang Wang, Jagbir Gill and Jiguo Cao in Statistical Methods in Medical Research
Supplemental Material for Functional principal component analysis of glomerular filtration rate c... more Supplemental Material for Functional principal component analysis of glomerular filtration rate curves after kidney transplant by Jianghu J Dong, Liangliang Wang, Jagbir Gill and Jiguo Cao in Statistical Methods in Medical Research
Supplemental material, Supplementary_Tables_SRR for Validation of Self-Reported Race in a Canadia... more Supplemental material, Supplementary_Tables_SRR for Validation of Self-Reported Race in a Canadian Provincial Renal Administrative Database by Aiza Waheed, Ognjenka Djurdjev, Jianghu Dong, Jagbir Gill and Sean Barbour in Canadian Journal of Kidney Health and Disease
Supplemental material for Joint modelling for organ transplantation outcomes for patients with di... more Supplemental material for Joint modelling for organ transplantation outcomes for patients with diabetes and the end-stage renal disease by Jianghu(James) Dong, Shijia Wang, Liangliang Wang, Jagbir Gill and Jiguo Cao in Statistical Methods in Medical Research
Statistics in Medicine, 2020
This article is motivated by some longitudinal clinical data of kidney transplant recipients, whe... more This article is motivated by some longitudinal clinical data of kidney transplant recipients, where kidney function progression is recorded as the estimated glomerular filtration rates (GFR) at multiple time points post kidney transplantation. We propose to use the functional principal component analysis (FPCA) method to explore the major source of variations of GFR curves. We find that the estimated functional principal component (FPC) scores can be used to cluster GFR curves. Ordering a function of FPC scores can detect abnormal GFR curves. Finally, FPCA can effectively estimate missing GFR values and predict patient future long-term GFR.
Journal of data science, 2020
COVID-19 is quickly spreading around the world and carries along with it a significant threat to ... more COVID-19 is quickly spreading around the world and carries along with it a significant threat to public health This study sought to apply meta-analysis to more accurately estimate the basic reproduction number (R_0) because prior estimates of R_0 have a broad range from 1 95 to 6 47 in the existing literature Utilizing meta-analysis techniques, we can determine a more robust estimation of R_0, which is substantially larger than that provided by the World Health Organization (WHO) A susceptible-Infectious-removed (SIR) model for the new infection cases based on R_0 from meta analysis is proposed to estimate the effective reproduction number R_t The curves of estimated R_t values over time can illustrate that the isolation measures enforced in China and South Korea were substantially more effective in controlling COVID-19 compared to the measures enacted early in both Italy and the United States Finally, we present the daily standardized infection cases per million population over tim...
JMIR Public Health and Surveillance, 2020
Background Computed tomography (CT) scans are increasingly available in clinical care globally. T... more Background Computed tomography (CT) scans are increasingly available in clinical care globally. They enable a rapid and detailed assessment of tissue and organ involvement in disease processes that are relevant to diagnosis and management, particularly in the context of the COVID-19 pandemic. Objective The aim of this paper is to identify differences in the CT scan findings of patients who were COVID-19 positive (confirmed via nucleic acid testing) to patients who were confirmed COVID-19 negative. Methods A retrospective cohort study was proposed to compare patient clinical characteristics and CT scan findings in suspected COVID-19 cases. A multivariable logistic model with LASSO (least absolute shrinkage and selection operator) selection for variables was used to identify the good predictors from all available predictors. The area under the curve (AUC) with 95% CI was calculated for each of the selected predictors and the combined selected key predictors based on receiver operating...
Communications in Statistics - Simulation and Computation
Communications in Statistics - Simulation and Computation
Journal of Applied Statistics
Journal of Applied Statistics
PLOS ONE
Background Fifteen percent of US adults have chronic kidney disease (CKD). The effect of CKD on t... more Background Fifteen percent of US adults have chronic kidney disease (CKD). The effect of CKD on the development of different malignancies is unknown. Understanding the effect of CKD on the risk of development of cancer could have important implications for screening and early detection of cancer in these patients. Methods Adult CKD patients [estimated GFR (eGFR) <60ml/min/1.73m2] between January 2001 and December 2020 were identified in this single institution study. Patients were divided into four stages of CKD by eGFR. The incidence of cancer and time to development of the first cancer were identified. Multivariable models were used to compare the overall cancer incidence while considering death as a competing risk event and adjusting for relevant covariates (sex, race, diabetes, hypertension, CAD, smoking or not, BMI, and CKD stages). Separate multivariable models of the incidence of cancers were conducted in each age group. Multivariable Cox models were used to fit the overal...
PLOS ONE
Background Fifteen percent of US adults have chronic kidney disease (CKD). The effect of CKD on t... more Background Fifteen percent of US adults have chronic kidney disease (CKD). The effect of CKD on the development of different malignancies is unknown. Understanding the effect of CKD on the risk of development of cancer could have important implications for screening and early detection of cancer in these patients. Methods Adult CKD patients [estimated GFR (eGFR) <60ml/min/1.73m2] between January 2001 and December 2020 were identified in this single institution study. Patients were divided into four stages of CKD by eGFR. The incidence of cancer and time to development of the first cancer were identified. Multivariable models were used to compare the overall cancer incidence while considering death as a competing risk event and adjusting for relevant covariates (sex, race, diabetes, hypertension, CAD, smoking or not, BMI, and CKD stages). Separate multivariable models of the incidence of cancers were conducted in each age group. Multivariable Cox models were used to fit the overal...
IntroductionThis paper sought to investigate the clinical characteristic differences between susp... more IntroductionThis paper sought to investigate the clinical characteristic differences between suspected and confirmed patients with COVID-19 from CT scan to prevent and treat this infectious disease, since the coronavirus outbreak in the world has seriously affected the quality of life.MethodsWe proposed to use a retrospective case-control study to give a comparison between suspected patients and confirmed patients in the clinical characteristics.Results(56%) patients were confirmed for COVID-19 from suspected 167 patients. We find that elder people were more likely to be infected by COVID-19. Among the confirmed 94 patients, 2 (2%) patients were admitted to an intensive care unit, and 0 (0%) patients died during the study period. We find that images of CT scan of patients with a COVID-19 are significantly different from patients without a COVID-19.ConclusionsTo our best knowledge, it is the first time to use the case-control design to study the coronavirus disease, since it is parti...
IntroductionThis paper sought to investigate the clinical characteristic differences between susp... more IntroductionThis paper sought to investigate the clinical characteristic differences between suspected and confirmed patients with COVID-19 from CT scan to prevent and treat this infectious disease, since the coronavirus outbreak in the world has seriously affected the quality of life.MethodsWe proposed to use a retrospective case-control study to give a comparison between suspected patients and confirmed patients in the clinical characteristics.Results(56%) patients were confirmed for COVID-19 from suspected 167 patients. We find that elder people were more likely to be infected by COVID-19. Among the confirmed 94 patients, 2 (2%) patients were admitted to an intensive care unit, and 0 (0%) patients died during the study period. We find that images of CT scan of patients with a COVID-19 are significantly different from patients without a COVID-19.ConclusionsTo our best knowledge, it is the first time to use the case-control design to study the coronavirus disease, since it is parti...
Journal of Biomechanics, 2022
Patients with peripheral artery disease (PAD) have significantly reduced lower extremity muscle s... more Patients with peripheral artery disease (PAD) have significantly reduced lower extremity muscle strength compared with healthy individuals as measured during isolated, single plane joint motion by isometric and isokinetic strength dynamometers. Alterations to the force contribution of muscles during walking caused by PAD are not well understood. Therefore, this study used simulations with PAD biomechanics data to understand lower extremity muscle functions in patients with PAD during walking and to compare that with healthy older individuals. A total of 12 patients with PAD and 10 age-matched healthy older controls walked across a 10-meter pathway with reflective markers on their lower limbs. Marker coordinates and ground reaction forces were recorded and exported to OpenSim software to perform gait simulations. Walking velocity, joint angles, muscle force, muscle power, and metabolic rate were calculated and compared between patients with PAD and healthy older controls. Our results suggest that patients with PAD walked slower with less hip extension during propulsion. Significant force and power reductions were observed in knee extensors during weight acceptance and in plantar flexors and hip flexors during propulsion in patients with PAD. The estimated metabolic rate of walking during stance was not different between patients with PAD and controls. This study is the first to analyze lower limb muscular responses during walking in patients with PAD using the OpenSim simulation software. The simulation results of this study identified important information about alterations to muscle force and power during walking in those with PAD.
Journal of Biomechanics, 2022
Patients with peripheral artery disease (PAD) have significantly reduced lower extremity muscle s... more Patients with peripheral artery disease (PAD) have significantly reduced lower extremity muscle strength compared with healthy individuals as measured during isolated, single plane joint motion by isometric and isokinetic strength dynamometers. Alterations to the force contribution of muscles during walking caused by PAD are not well understood. Therefore, this study used simulations with PAD biomechanics data to understand lower extremity muscle functions in patients with PAD during walking and to compare that with healthy older individuals. A total of 12 patients with PAD and 10 age-matched healthy older controls walked across a 10-meter pathway with reflective markers on their lower limbs. Marker coordinates and ground reaction forces were recorded and exported to OpenSim software to perform gait simulations. Walking velocity, joint angles, muscle force, muscle power, and metabolic rate were calculated and compared between patients with PAD and healthy older controls. Our results suggest that patients with PAD walked slower with less hip extension during propulsion. Significant force and power reductions were observed in knee extensors during weight acceptance and in plantar flexors and hip flexors during propulsion in patients with PAD. The estimated metabolic rate of walking during stance was not different between patients with PAD and controls. This study is the first to analyze lower limb muscular responses during walking in patients with PAD using the OpenSim simulation software. The simulation results of this study identified important information about alterations to muscle force and power during walking in those with PAD.
Supplemental Material for Functional principal component analysis of glomerular filtration rate c... more Supplemental Material for Functional principal component analysis of glomerular filtration rate curves after kidney transplant by Jianghu J Dong, Liangliang Wang, Jagbir Gill and Jiguo Cao in Statistical Methods in Medical Research
Supplemental Material for Functional principal component analysis of glomerular filtration rate c... more Supplemental Material for Functional principal component analysis of glomerular filtration rate curves after kidney transplant by Jianghu J Dong, Liangliang Wang, Jagbir Gill and Jiguo Cao in Statistical Methods in Medical Research
Supplemental material, Supplementary_Tables_SRR for Validation of Self-Reported Race in a Canadia... more Supplemental material, Supplementary_Tables_SRR for Validation of Self-Reported Race in a Canadian Provincial Renal Administrative Database by Aiza Waheed, Ognjenka Djurdjev, Jianghu Dong, Jagbir Gill and Sean Barbour in Canadian Journal of Kidney Health and Disease
Supplemental material for Joint modelling for organ transplantation outcomes for patients with di... more Supplemental material for Joint modelling for organ transplantation outcomes for patients with diabetes and the end-stage renal disease by Jianghu(James) Dong, Shijia Wang, Liangliang Wang, Jagbir Gill and Jiguo Cao in Statistical Methods in Medical Research
Statistics in Medicine, 2020
This article is motivated by some longitudinal clinical data of kidney transplant recipients, whe... more This article is motivated by some longitudinal clinical data of kidney transplant recipients, where kidney function progression is recorded as the estimated glomerular filtration rates (GFR) at multiple time points post kidney transplantation. We propose to use the functional principal component analysis (FPCA) method to explore the major source of variations of GFR curves. We find that the estimated functional principal component (FPC) scores can be used to cluster GFR curves. Ordering a function of FPC scores can detect abnormal GFR curves. Finally, FPCA can effectively estimate missing GFR values and predict patient future long-term GFR.
Journal of data science, 2020
COVID-19 is quickly spreading around the world and carries along with it a significant threat to ... more COVID-19 is quickly spreading around the world and carries along with it a significant threat to public health This study sought to apply meta-analysis to more accurately estimate the basic reproduction number (R_0) because prior estimates of R_0 have a broad range from 1 95 to 6 47 in the existing literature Utilizing meta-analysis techniques, we can determine a more robust estimation of R_0, which is substantially larger than that provided by the World Health Organization (WHO) A susceptible-Infectious-removed (SIR) model for the new infection cases based on R_0 from meta analysis is proposed to estimate the effective reproduction number R_t The curves of estimated R_t values over time can illustrate that the isolation measures enforced in China and South Korea were substantially more effective in controlling COVID-19 compared to the measures enacted early in both Italy and the United States Finally, we present the daily standardized infection cases per million population over tim...
JMIR Public Health and Surveillance, 2020
Background Computed tomography (CT) scans are increasingly available in clinical care globally. T... more Background Computed tomography (CT) scans are increasingly available in clinical care globally. They enable a rapid and detailed assessment of tissue and organ involvement in disease processes that are relevant to diagnosis and management, particularly in the context of the COVID-19 pandemic. Objective The aim of this paper is to identify differences in the CT scan findings of patients who were COVID-19 positive (confirmed via nucleic acid testing) to patients who were confirmed COVID-19 negative. Methods A retrospective cohort study was proposed to compare patient clinical characteristics and CT scan findings in suspected COVID-19 cases. A multivariable logistic model with LASSO (least absolute shrinkage and selection operator) selection for variables was used to identify the good predictors from all available predictors. The area under the curve (AUC) with 95% CI was calculated for each of the selected predictors and the combined selected key predictors based on receiver operating...