COMPARING CYSTATIN C, CREATININE, AND COMBINED CYSTATIN C–CREATININE eGFR IN ROUTINE PRACTICE: EXPERIENCE FROM 693 CONSECUTIVE PATIENTS AT A CENTRAL REFERRAL LABORATORY IN KENYA

 

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https://storage.unitedwebnetwork.com/files/1099/7147dcb539a4e3a0677c0c2c3b94715a.pdf
COMPARING CYSTATIN C, CREATININE, AND COMBINED CYSTATIN C–CREATININE eGFR IN ROUTINE PRACTICE: EXPERIENCE FROM 693 CONSECUTIVE PATIENTS AT A CENTRAL REFERRAL LABORATORY IN KENYA

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Ahmed
Kalebi
Ahmed Kalebi chairman@dkl.co.ke Dr. Kalebi Labs (DKL Core Lab Nairobi Kenya *
Angela Munoko clinpath@dkl.co.ke Dr. Kalebi Labs (DKL) Ltd Clinical Chemistry Nairobi Kenya -
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Accurate estimation of glomerular filtration rate (eGFR) is essential for diagnosing, staging, and managing chronic kidney disease (CKD). Creatinine-based eGFR (eGFRcr) is widely used but influenced by muscle mass, diet, and body composition, limiting its reliability in individuals with atypical physiology or early renal dysfunction. Cystatin C, a filtration marker unaffected by these factors, offers improved precision and prognostic value, particularly in the mid-range GFR (45–59 mL/min/1.73 m²). The combined CKD-EPI creatinine–cystatin C equation (eGFRcr-cys) provides the most accurate estimates and refines risk stratification. Although KDIGO and NICE recommend cystatin C testing when eGFRcr is unreliable, adoption remains low—especially in resource-limited settings. Discordance between eGFRcr and eGFRcys is frequent, emphasizing the need for real-world data from diverse populations. This study compares eGFRcr, eGFRcys, and eGFRcr-cys among consecutive patients tested in routine clinical practice in Kenya.

We retrospectively analyzed 693 consecutive patients who had simultaneous serum creatinine and cystatin C measurements at a central referral laboratory in Kenya over nine months. eGFR was calculated using CKD-EPI 2009 (eGFRcr), CKD-EPI 2012 cystatin C (eGFRcys), and CKD-EPI 2012 combined creatinine–cystatin C (eGFRcr-cys) equations. CKD stages (G1–G5) were assigned for each method, and inter-method discordance in CKD staging was determined, including the direction (upgrading or downgrading) and distribution across CKD stages.

Of the 693 patients (mean age 48 years; 53% male), CKD stage distribution varied by method:


eGFRcr: G1 57%, G2 28%, G3a 7%, G3b 4%, G4 2%, G5 1%


eGFRcys: G1 51%, G2 39%, G3a 6%, G3b 3%, G4 0%, G5 1%


eGFRcr-cys: G1 64%, G2 27%, G3a 4%, G3b 3%, G4 1%, G5 1%


Discordance in CKD staging occurred in 38% between eGFRcr and eGFRcys (n = 263), 28% between eGFRcr and eGFRcr-cys (n = 193), and 16% between eGFRcys and eGFRcr-cys (n = 112). The greatest discordance occurred in early CKD stages—G1 (22%) and G2 (12%). Compared with eGFRcr, eGFRcys upgraded CKD stage in 18.9% and downgraded in 16.2% of cases; eGFRcr-cys upgraded in 7.4% and downgraded in 17.5%. eGFRcr-cys vs eGFRcys showed minimal upgrading (0.2%) but downgraded in 11.7% of cases. Overlapping discordance across methods occurred in 26% of patients.

In routine clinical practice, eGFRcr and eGFRcys frequently yield discordant CKD staging (38%), particularly in early disease (G1–G2), reflecting the influence of non-renal factors on creatinine. The combined eGFRcr-cys equation substantially reduces discordance—especially relative to eGFRcys (16%)—and predominantly downgrades staging compared with eGFRcr (17.5%), suggesting overestimation of CKD severity by creatinine alone. These findings support the selective use of cystatin C and the preferential adoption of the combined CKD-EPI equation in ambiguous or borderline cases to enhance diagnostic accuracy, risk stratification, and clinical decision-making in diverse and resource-limited populations such as in Africa.

Kewords