Reverse epidemiology, obesity and mortality in chronic kidney disease: modelling mortality expectations using energetics

INIS

• diseases 100%
• mortality 100%
• kidneys 100%
• modeling 100%
• epidemiology 100%
• obesity 100%
• fats 85%
• hypothesis 42%
• data 28%
• patients 28%
• cancer 14%
• tissues 14%
• errors 14%
• variations 14%
• populations 14%
• dialysis 14%
• toxins 14%
• construction 14%
• water 14%
• scaling 14%
• body composition 14%
• heart disease 14%
• energy consumption 14%
• buffers 14%
• energy demand 14%

Keyphrases

• Obesity 100%
• Chronic Kidney Disease 100%
• Reverse Epidemiology 100%
• Kidney Disease Modelling 100%
• Sequestration 60%
• Obesity Paradox 40%
• Obese Patients 20%
• Dialysis 20%
• Type 2 Diabetes Mellitus (T2DM) 20%
• Beneficial Effects 20%
• Expected Impact 20%
• Body Composition 20%
• AIMS™ 20%
• Heart Disease 20%
• Chronic Illness 20%
• Predisposing Factors 20%
• Mortality Prediction 20%
• Sequester 20%
• Energy Demand 20%
• Systematic Error 20%
• Doubly Labeled Water 20%
• Uremic Toxins 20%
• Model Building 20%
• Lean Tissue Mass 20%
• Variation Pattern 20%
• Daily Energy Expenditure 20%
• Mortality Patterns 20%
• Fat Tissue Mass 20%
• Heart Tumor 20%
• Alternative Ideas 20%

Medicine and Dentistry

• Energy Transfer 100%
• Chronic Kidney Disease 100%
• Obesity Epidemiology 100%
• Cohort Effect 33%
• Energy Expenditure 33%
• Malignant Neoplasm 33%
• Maturity Onset Diabetes of the Young 33%
• Chronic Disease 33%
• Heart Disease 33%
• Uremic Toxin 33%
• Buffer 33%
• Doubly Labeled Water Technique 33%
• Disease Predisposition 33%
• Lean Tissue 33%