Metabolic Phenotypes and Chronic Kidney Disease: A Cross-Sectional Assessment of Patients from a Large Federally Qualified Health Center.
Kathleen A RichardsonNicholas von WaadenMatthew RafalskiBurritt W HessSally P WeaverRodney G BowdenPublished in: Life (Basel, Switzerland) (2021)
The purpose of this study is to determine if renal function varies by metabolic phenotype. A total of 9599 patients from a large Federally Qualified Health Center (FQHC) were included in the analysis. Metabolic health was classified as the absence of metabolic abnormalities defined by the National Cholesterol Education Program Adult Treatment Panel III criteria, excluding waist circumference. Obesity was defined as body mass index >30 kg/m2 and renal health as an estimated glomerular filtration rate (eGFR) >60 mL/min/1.73 m2. Linear and logistic regressions were used to analyze the data. The metabolically healthy overweight (MHO) phenotype had the highest eGFR (104.86 ± 28.76 mL/min/1.72 m2) and lowest unadjusted odds of chronic kidney disease (CKD) (OR = 0.46, 95%CI = 0.168, 1.267, p = 0.133), while the metabolically unhealthy normal weight (MUN) phenotype demonstrated the lowest eGFR (91.34 ± 33.28 mL/min/1.72 m2) and the highest unadjusted odds of CKD (OR = 3.63, p < 0.0001). After controlling for age, sex, and smoking status, the metabolically unhealthy obese (MUO) (OR = 1.80, 95%CI = 1.08, 3.00, p = 0.024) was the only phenotype with significantly higher odds of CKD as compared to the reference. We demonstrate that the metabolically unhealthy phenotypes have the highest odds of CKD compared to metabolically healthy individuals.
Keyphrases
- chronic kidney disease
- end stage renal disease
- body mass index
- healthcare
- public health
- small cell lung cancer
- weight loss
- weight gain
- mental health
- peritoneal dialysis
- health information
- type diabetes
- newly diagnosed
- epidermal growth factor receptor
- quality improvement
- ejection fraction
- metabolic syndrome
- physical activity
- insulin resistance
- bariatric surgery
- social media
- skeletal muscle
- patient reported outcomes