Abstract: PO0434
Association Between eGFR-Cystatin C/eGFR-Creatinine Ratio and Fat Weight
Session Information
- CKD Epidemiology, Biomarkers, Predictors
October 22, 2020 | Location: On-Demand
Abstract Time: 10:00 AM - 12:00 PM
Category: CKD (Non-Dialysis)
- 2101 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention
Authors
- Laucyte-Cibulskiene, Agne, Lunds Universitet Institutionen for kliniska vetenskaper i Lund, Lund, Sweden
- Christensson, Anders, Lunds Universitet Institutionen for kliniska vetenskaper i Lund, Lund, Sweden
Background
The ratio of eGFR-cystatinC/eGFR-creatinine less than 0.7 is a condition that demonstrates different filtration for small and large molecules and is associated with accumulation of atherosclerosis-promoting proteins, higher cardiovascular event and mortality risk. Though, we hypothesize that this ratio could also be an indirect reflection of certain body composition. For example creatinine/cystatin C ratio has been used as a marker for sarcopenia, whereas cystatin C is highly expressed in human adipose tissue and might be increased in obesity. So the aim was to explore whether eGFR-cystatinC/eGFR-creatinine ratio is valid independently on body composition measures.
Methods
Data were extracted from the population based Malmö Diet and Cancer (MDC) study (n= 28 449) cardiovascular cohort (MDC_CC) that enrolled a random sample of study subjects invited to participate in carotid artery disease epidemiological analysis (n = 6103) during the year 1991-1994. Our study sample consisted of 5061 subjects who had body composition measurements and cystatin C available. Estimated glomerular filtration rate (eGFR) according to Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2012 creatinine-cystatin C equation was calculated. Bioimpedance analysis of body composition was estimated by following procedures provided by manufacturer (BIA-103 RJL Systems, Detroit, MI, single frequency (50kHz))
Results
In our study sample 11% (n=564) of subjects, mainly women (n=562), were classified as with eGFR-cystatinC/eGFR-creatinine ratio lower that 0.7. Therefore, we applied logistic regression analysis explicit in women and compared 2430 women without SPS with the rest of 562. We found that the ratio adjusted for age was associated with obesity (OR 3.49, p<0.001) and in multivariate analysis only with fat weight (OR 1.19, p<0.001). Lower lean weight showed also significant relationship with lower eGFR-cystatinC/eGFR-creatinine ratio, but not after adjustment to other cofounders.
Conclusion
The ratio of eGFR-cystatinC/eGFR-creatinine lower than 0.7 is dependent on fat weight in females from population based study.