Dataset Information

Increased fat mass index is associated with decreased glomerular filtration rate estimated from cystatin C. Data from Malmo Diet and Cancer cohort.

ABSTRACT:

Background

This study aims to describe associations of obesity and CKD in a Swedish urban population. The impact of fat mass, from bioimpedance analysis, on eGFR based on cystatin C and/or creatinine is studied.

Methods

5049 participants from Malmö Diet and Cancer Study the cardiovascular arm (MDCS-CV) with available body mass composition (single frequency bioimpedance analysis) and cystatin C measured at baseline were selected. Body mass index (kg/m2) was used to define overweight/obesity. eGFR was calculated using cystatin C (eGFRCYS) and creatinine (eGFRCR) equations: Chronic Kidney Disease Epidemiology Collaboration 2012 (CKD-EPICR, CKD-EPICYS, CKD-EPICR-CYS), eGFRCYS based on Caucasian, Asian, pediatric, and adult cohorts (CAPA), the Lund-Malmö revised equation (LMrev), and Modified Full Age Spectrum creatinine-based equation (EKFCCR). Two different fat mass index (FMI) z-scores were calculated: FMI z-scoreLarsson and FMI z-scoreLee.

Results

Lower eGFRCYS and eGFRCR-CYS following multiple adjustments were prevalent in overweight/obese subjects. Increase in FMI z-scoreLarsson or FMI z-scoreLee was related to decrease in predicted CAPA, CKD-EPICYS, CKD-EPICR-CYS and CAPA-LMrev equation.

Conclusion

eGFRCYS, in contrast to combined eGFRCR-CYS and eGFRCR, demonstrate the strongest association between FMI and kidney function.

SUBMITTER: Laucyte-Cibulskiene A

PROVIDER: S-EPMC9302820 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:The Kidney Disease Improving Global Outcomes (KDIGO) guideline recommends use of a cystatin C-based estimated glomerular filtration rate (eGFR) to confirm creatinine-based eGFR between 45 and 59 mL · min(-1) · (1.73 m(2))(-1). Prior studies have demonstrated that comorbidities such as solid-organ transplant strongly influence the relationship between measured GFR, creatinine, and cystatin C. Our objective was to evaluate the performance of cystatin C-based eGFR equations compared with creatinine-based eGFR and measured GFR across different clinical presentations. METHODS:We compared the performance of the CKD-EPI 2009 creatinine-based estimated GFR equation (eGFRCr) and the newer CKD-EPI 2012 cystatin C-based equations (eGFRCys and eGFRCr-Cys) with measured GFR (iothalamate renal clearance) across defined patient populations. Patients (n = 1652) were categorized as transplant recipients (n = 568 kidney; n = 319 other organ), known chronic kidney disease (CKD) patients (n = 618), or potential kidney donors (n = 147). RESULTS:eGFRCr-Cys showed the most consistent performance across different clinical populations. Among potential kidney donors without CKD [stage 2 or higher; eGFR >60 mL · min(-1) · (1.73 m(2))(-1)], eGFRCys and eGFRCr-Cys demonstrated significantly less bias than eGFRCr; however, all 3 equations substantially underestimated GFR when eGFR was <60 mL · min(-1) · (1.73 m(2))(-1). Among transplant recipients with CKD stage 3B or greater [eGFR <45 mL · min(-1) · (1.73 m(2))(-1)], eGFRCys was significantly more biased than eGFRCr. No clear differences in eGFR bias between equations were observed among known CKD patients regardless of eGFR range or in any patient group with a GFR between 45 and 59 mL · min(-1) · (1.73 m(2))(-1). CONCLUSIONS:The performance of eGFR equations depends on patient characteristics that are readily apparent on presentation. Among the 3 CKD-EPI equations, eGFRCr-Cys performed most consistently across the studied patient populations.

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