Data regarding covariates significantly associated with sarcopenia and varying albumin statuses in patients with renal cell carcinoma

Benjamin N Schmeusser; Dattatraya H Patil; Eric Midenberg; Michelle I Higgins; Joel Zaldumbide; Dylan J Martini; Sean Steele; Milton Williams; Reza Nabavizadeh; Sarah P Psutka; Kenneth Ogan; Mehmet Asim Bilen; Vraj A Master

doi:10.1016/j.dib.2022.108724

Data regarding covariates significantly associated with sarcopenia and varying albumin statuses in patients with renal cell carcinoma

Data Brief. 2022 Nov 4:45:108724. doi: 10.1016/j.dib.2022.108724. eCollection 2022 Dec.

Authors

Benjamin N Schmeusser¹, Dattatraya H Patil¹, Eric Midenberg¹, Michelle I Higgins², Joel Zaldumbide¹, Dylan J Martini³, Sean Steele¹, Milton Williams⁴, Reza Nabavizadeh¹, Sarah P Psutka^{5

6}, Kenneth Ogan^{1

7}, Mehmet Asim Bilen^{8

7}, Vraj A Master^{1

7}

Affiliations

¹ Department of Urology, Emory University School of Medicine, Atlanta, GA, USA.
² Brady Urological Institute, Johns Hopkins Hospital, Baltimore, MD, USA.
³ Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
⁴ Department of Urology, University of Alabama, Birmingham, AL, USA.
⁵ Department of Urology, University of Washington, Seattle, WA, USA.
⁶ Fred Hutchinson Cancer Center, University of Washington, Seattle, WA, USA.
⁷ Winship Cancer Institute of Emory University, Atlanta, GA, USA.
⁸ Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA.

Abstract

Poor functional, nutritional, and muscle status is a significant negative predictor for surgical and survival outcomes in patients with cancer, including renal cell carcinoma. This dataset displays results from preoperative muscle composition analysis and albumin levels in a large cohort (n = 473) of patients undergoing surgery for renal cell carcinoma. Data was obtained from retrospective review of prospectively maintained databases and retrospective image analysis. The optimal cut-point for skeletal muscle index (sarcopenia) was determined by a receiver operatic characteristic analysis to optimally stratify cohort, adjusting for BMI and sex. A threshold value of 3.5 g/dL was used to categorize normal versus low serum albumin. Patients were stratified into low risk (non-sarcopenic and normal albumin), medium risk (non-sarcopenic and low albumin, or sarcopenic and normal albumin), and high risk (sarcopenic and low albumin) groups. This data could potentially be used in future studies to determine other relationships between nutrition and musculature in renal cell carcinoma patients.

Keywords: Body composition; cancer outcomes; malnutrition; muscle mass; sarcopenia.