Sarcopenia, adiposity and large discordance between cystatin C and creatinine‐based estimated glomerular filtration rate in patients with cancer

• Published in: Journal of cachexia, sarcopenia and muscle sarcopenia and muscle, 2024-06, Vol.15 (3), p.1187-1198
• Main Authors: Hanna, Paul E., Ouyang, Tianqi, Tahir, Ismail, Katz‐Agranov, Nurit, Wang, Qiyu, Mantz, Lea, Strohbehn, Ian, Moreno, Daiana, Harden, Destiny, Dinulos, James E., Cosar, Duru, Seethapathy, Harish, Gainor, Justin F., Shah, Sachin J., Gupta, Shruti, Leaf, David E., Fintelmann, Florian J., Sise, Meghan E.
• Format: Article
• Language: English
• Subjects: Adiposity; Aged; Body composition; Body fat; Body mass index; Cancer; Clinical outcomes; Cohort analysis; Creatinine; Creatinine - blood; Cross-Sectional Studies; cystatin C; Cystatin C - blood; eGFR discrepancy; Female; Glomerular Filtration Rate; Humans; Kidney diseases; Male; Medical imaging; Middle Aged; Musculoskeletal system; Neoplasms - complications; Neoplasms - physiopathology; Obesity; Original; Patients; Regression analysis; Sarcopenia; Sarcopenia - physiopathology; serum creatinine; Tomography; Tomography, X-Ray Computed - methods
• ISSN: 2190-5991; 2190-6009; 2190-6009
• DOI: 10.1002/jcsm.13469

Background Creatinine‐based estimated glomerular filtration rate (eGFRCRE) may overestimate kidney function in patients with sarcopenia. While cystatin C‐based eGFR (eGFRCYS) is less affected by muscle mass, it may underestimate kidney function in patients with obesity. We sought to evaluate the relationship between body composition defined by computed tomography (CT) scans and discordance between creatinine, eGFRCRE and eGFRCYS in adult patients with cancer. Methods This study is a cross‐sectional study of consecutive adults with cancer with an abdominal CT scan performed within 90 days of simultaneous eGFRCRE and eGFRCYS measurements between May 2010 and January 2022. Muscle and adipose tissue cross‐sectional areas were measured at the level of the third lumbar vertebral body using a validated deep‐learning pipeline. CT‐defined sarcopenia was defined using independent sex‐specific cut‐offs for skeletal muscle index ( 50% lower than eGFRCRE. The odds of eGFR discordance were estimated using multivariable logistic regression modelling. Unadjusted spline regression was used to evaluate the relationship between skeletal muscle index and the difference between eGFRCYS and eGFRCRE. Results Of the 545 included patients (mean age 63 ± 14 years, 300 [55%] females, 440 [80.7%] non‐Hispanic white), 320 (58.7%) met the criteria for CT‐defined sarcopenia, and 136 (25%) had high adiposity. A total of 259 patients (48%) had >30% eGFR discordance, and 122 (22.4%) had >50% eGFR discordance. After adjustment for potential confounders, CT‐defined sarcopenia and high adiposity were both associated with >30% eGFR discordance (adjusted odds ratio [aOR] 1.90, 95% confidence interval [CI] 1.12–3.24; aOR 2.01, 95% CI 1.15–3.52, respectively) and >50% eGFR discordance (aOR 2.34, 95% CI 1.21–4.51; aOR 2.23, 95% CI 1.19–4.17, respectively). A spline model demonstrated that as skeletal muscle index decreases, the predicted difference between eGFRCRE and eGFRCYS widens considerably. Conclusions CT‐defined sarcopenia and high adiposity are both independently associated with large eGFR discordance. Incorporating valuable information from body composition analysis derived from CT scans p