Adjusted Anion Gap Is Associated with Glomerular Filtration Rate Decline in Chronic Kidney Disease.

BACKGROUND: Metabolic acidosis is known to accelerate the progression of chronic kidney disease (CKD). However, whether undetermined anions as indicated by the adjusted anion gap (aAG) are associated with estimated glomerular filtration rate (eGFR) decline in patients with CKD is unclear.
METHODS: Data from 42 patients with CKD (baseline eGFR, 7.1-52.0 ml/min/ 1.73 m2) without massive proteinuria (urinary protein-creatinine ratio, UPCR <3.5) were retrospectively analyzed. aAG was calculated from serum sodium, serum chloride, serum bicarbonate, serum albumin, serum potassium, serum calcium and serum phosphate. The association between the percentage of the 6-month change of eGFR (%ΔeGFR/6m) and aAG was examined.
RESULTS: The mean baseline eGFR was 27.5 ± 11.1 ml/min/1.73 m2 and the mean %ΔeGFR/6m was 13.8 ± 10.3. UPCR and aAG were 1.13 ± 0.93 and 9.48 ± 1.88, respectively. %ΔeGFR/6m was associated with aAG (r = 0.438, p < 0.005), but not with UPCR (r = 0.194, p = 0.218). In multivariate linear regression analyses, aAG remained significantly associated with %ΔeGFR/6m (β = 0.45, p < 0.01) after controlling for age, baseline eGFR, UPCR and HCO3- concentration.
CONCLUSION: These data suggest that aAG appears to be associated with the progression of CKD. aAG might be an independent predictor of CKD progression.

Introduction

Anions accumulate during the course of chronic kidney disease (CKD) [1,2,3], and unmeasured anions such as indoxyl sulfate and p-cresyl sulfate reportedly accelerate CKD progression [4] and complications [5,6]. However, whether the net amount of unmeasured anions is associated with CKD progression has not been elucidated. The level of unmeasured anions can be estimated by the classical anion gap (AG) or the adjusted AG (aAG). aAG is calculated from electrolytes including serum sodium, chloride, potassium, calcium, phosphate, bicarbonate and serum albumin. aAG has been considered to reveal the level of undetermined anions more precisely than the classical AG [7].

The present study investigated whether aAG is associated with estimated glomerular filtration rate (eGFR) declines in CKD patients. Associations between aAG and other known risk factors for eGFR decline were also studied.

Subjects and Methods

Study Population

The subjects enrolled were outpatients treated at the Department of Nephrology of Shizuoka Saiseikai General Hospital between June 2010 and November 2012. Forty-one adults with an eGFR7 of −52 ml/min/1.73 m2 and a urinary protein-creatinine ratio (UPCR) of <3.5 were included. The study protocols were approved by the Ethics Committee of Shizuoka Saiseikai General Hospital (No. 24-8-02).

Data Collection

Serum chemistry values were determined with Toshiba C1 16200 and C1 8260, and serum bicarbonate values were measured from venous blood samples using the Radiometer ABL 730 analyzer. Surshield PREZA-PAK (Terumo, Tokyo, Japan) was used for venous bicarbonate measurement. For bicarbonate measurement, all blood samples were filled in tubes without air and injected into the analyzer within 6-10 min after blood collection. Venous bicarbonate values were adjusted to the arterial bicarbonate values according to the following formula: adjusted bicarbonate = venous bicarbonate −1.5 [8]. Using the equation established by the Japanese Society of Nephrology, eGFR was calculated from serum creatinine (mg/dl), age and sex [9]. Baseline eGFR and eGFR after 6 months were defined as eGFR0 and eGFR6, respectively. As previously reported, the percentage of the 6-month change of eGFR (%ΔeGFR/6m) was defined as %ΔeGFR/6m = 100 × (eGFR0 − eGFR6)/eGFR0 [10,11]. aAG was calculated using the formula modified from a previous report [7]: aAG = serum sodium (mEq/l) − serum chloride (mEq/l) − adjusted serum bicarbonate (mEq/l) −2.5 × serum albumin (g/dl) + serum potassium (mEq/l) + 0.5 × total calcium (mg/dl) − [0.323 × serum phosphate (mg/dl)] × 1.8.

Statistical Analysis

R (http://www.r-project.org/) was used for all statistical analyses. Relationships between %ΔeGFR/6m, aAG and UPCR were examined by the Pearson correlation analysis. Multiple linear regression analyses were used to examine associations between aAG and %ΔeGFR/6m by controlling for age, UPCR, initial eGFR (eGFR0) and adjusted bicarbonate concentration.

Results

Table 1 shows the characteristics of the patients participating in this study. The percentage of patients with diabetes was 9.5. The mean (±standard deviation) baseline eGFR (eGFR0) was 27.5 ± 11.1 ml/min/1.73 m2 (range, 7.1-52.0), %ΔeGFR/6m was 13.8 ± 10.3 and aAG was 9.48 ± 1.88. The association between %ΔeGFR/6m, UPCR and aAG was examined. aAG (r = 0438, p < 0.005) was significantly associated with %ΔeGFR/6m (fig. 1), whereas UPCR was not (r = 0.193, p = 0.22). In multiple linear regression analysis, the association between %ΔeGFR/6m and aAG remains significant (β = 0.45, p < 0.01) after controlling for age, UPCR, eGFR0 and serum bicarbonate concentration (table 2).

Table 1

Patient characteristics (n = 42)

Age, years	68 ± 12.7
Diabetic nephropathy, %	9.5
eGFR0, ml/min/1.73 m2	27.5 ± 11.1
eGFR6, ml/min/1.73 m2	23.3 ± 10.8
%ΔeGFR/6m	13.8 ± 10.3
UPCR	1.13 ± 0.93
Serum albumin, g/dl	4.1 ± 0.4
Adjusted HCO−3, mEq/l	22.4 ± 2.9
aAG	9.48 ± 1.88

Values are means ± SD, unless otherwise specified.

Fig. 1

Correlation between aAG and %ΔeGFR/6m. aAG showed a significant association with %ΔeGFR/6m (r = 0.438, p < 0.005).

Table 2

Multiple linear regression analysis of %ΔeGFR/6m

	β	p value
aAG	0.45	<0.01
Age (years)	0.18	0.27
UPCR	0.12	0.49
eGFR0 (ml/min/1.73 m2)	−0.03	0.90
HCO−3 (mEq/l)	0.13	0.44

Discussion

The present study demonstrated an association between aAG and the eGFR decline in CKD patients. Compared with other possible predictors, aAG appears to be an independent predictor of CKD progression.

An increase in the AG in pre-end-stage to end-stage CKD has been reported [1], but the relationship between GFR and AG is not fully understood. Levels of certain uremic toxins such as indoxyl sulfate and p-cresyl sulfate are increased in CKD patients [12,13]. These molecules are associated with CKD complications such as vascular endothelial damage [14] or tubular epithelial damage [4], cardiovascular events [5], CKD progression [15] and mortality [6]. In CKD patients, elevated aAG values indicate an increase in the net amount of undetermined anions, including certain uremic toxins. The precise relationship between anionic uremic toxins and aAG is unclear. However, the evaluation of the net amount of undetermined anions by aAG might provide new information on CKD progression compared with the evaluation of each of the well-known uremic toxins.

Uremic toxins are accumulated in CKD patients; however, the concentration of uremic toxins does not correlate with eGFR [16]. Not only GFR, but also tubular secretion and reabsorption are considered to have an important role in renal clearance of uremic toxins [17]. aAG might be utilized for evaluating the accumulation of uremic toxins in the course of CKD.

aAG is altered and associated with mortality in early CKD patients [18]. This report by Abramowitz et al. [18], together with the present findings, indicates that the net amount of unmeasured anions seems to play an important role in both CKD progression and complications.

Serum bicarbonate levels are associated with mortality in CKD patients [19]. Correction of acidemia by alkali therapy might prevent CKD progression and complications such as volume overload or vascular calcifications [3,20]. Making efforts to decrease the levels of undetermined anions is another approach to correcting acidemia in CKD. Oral activated charcoal adsorbent (AST-120) might decrease anionic uremic toxins in CKD patients. In animal models, AST-120 has been reported to decrease the levels of indoxyl sulfate and to prevent the progression of CKD complications [21] and atherosclerosis accelerated by kidney disease [22]. Studies examining the impact of AST-120 on the alteration of aAG and CKD progression are needed.

In conclusion, we demonstrated an association between aAG and the eGFR decline. aAG during the course of CKD may be an important risk factor for CKD progression, and new therapeutic strategies focusing on aAG might be useful to prevent CKD progression.