The impact of obesity on body surface area adjusted estimated glomerular filtration rate in patients with chronic kidney disease

• Published in: Internal medicine journal Vol. 54; no. 10; pp. 1669 - 1677
• Main Authors: Lim, Andy K. H., Kerr, Peter G.
• Format: Journal Article
• Language: English
• Published: Melbourne John Wiley & Sons Australia, Ltd 01-10-2024; Wiley Subscription Services, Inc
• Subjects: Body mass index; body surface area; Body weight; chronic kidney disease; Dialysis; Epidemiology; Epidermal growth factor receptors; estimated glomerular filtration rate; Glomerular filtration rate; Kidney diseases; kidney function; Kidney transplantation; Obesity; Patients; Regression analysis; Surface area; chronic kidney disease; kidney function; estimated glomerular filtration rate; body mass index; obesity; body surface area
• ISSN: 1444-0903; 1445-5994; 1445-5994
• DOI: 10.1111/imj.16477

Background
Assessment of kidney function is necessary for prescribing renally excreted drugs. The estimated glomerular filtration rate (eGFR) routinely reported by laboratories is indexed to a body surface area (BSA) of 1.73 m2. In obese patients, the indexed eGFR may underestimate directly measured GFR.
Aims
To determine the prevalence of obesity in patients with chronic kidney disease (CKD) and examine the effect of adjusting the indexed eGFR for patient BSA (deindexing) across CKD Stages 2–5.
Methods
We conducted a cross‐sectional study of 575 adults with stable CKD from two general nephrology clinics over 6 months. Dialysis and kidney transplant patients were excluded. We used four equations (Mosteller, Dubois, Haycock and Schlich) to determine BSA based on actual body weight and applied Bland–Altman plots and piecewise linear regression to examine the relationship between deindexed and indexed eGFR.
Results
The median age was 68 years (58% male). The prevalence of overweight and obesity was 31% and 47% respectively. Mean body mass index was 29.7 kg/m2. The Schlich equation for BSA produced the smallest adjustment in eGFR, while the Haycock equation produced the largest adjustment. Males experienced the largest change in eGFR from deindexing because of larger BSAs. Although bias became increasingly positive with higher eGFR, the linear regression stratified by CKD stage indicated that deindexing had little impact with eGFR <45 mL/min/1.73 m2.
Conclusions
In CKD, deindexing the Chronic Kidney Disease Epidemiology Collaboration eGFR may not be necessary when the eGFR is <45 mL/min/1.73 m2, particularly if the patient is female.