Skip to main content

Table 2 Relationship of estimated Net Acid Excretion with Albuminuria, Kidney Dysfunction, and CKD Stages and Risk Groups in NHANES participants (N = 11,285)

From: Dietary acid load and chronic kidney disease among adults in the United States

Parameter

UACR+$ > 30 mg/g

eGFR$ < 60 ml/min/1.73m2

Stages of CKD#,**

Risk groups of CKD@**

OR (95% CI)

OR (95% CI)

OR (95% CI)

OR (95% CI)

Unadjusted

    

Quintile 1

Reference

Reference

Reference

Reference

Quintile 2

1.39 (1.09–1.78)

1.29 (0.98–1.70)

1.47 (1.11–1.95)

0.92 (0.76–1.11)

Quintile 3

1.33 (1.08–1.63)

1.84 (1.38–2.45)

1.79 (1.36–2.37)

1.30 (1.08–1.57)

Quintile 4

1.44 (1.15–1.80)

2.35 (1.78–3.12)

2.23 (1.63–3.05)

1.65 (1.41–1.93)

Quintile 5

1.71 (1.40–2.07)

2.63 (2.07–3.34)

2.51 (1.73–3.64)

1.99 (1.67–2.37)

ptrend

<0.0001

<0.0001

<0.0001

<0.0001

Adjusted*

    

Quintile 1

Reference

Reference

Reference

Reference

Quintile 2

1.25 (0.80–1.94)

1.13 (0.89–1.44)

0.94 (0.52–1.70)

0.75 (0.60–0.94)

Quintile 3

1.36 (1.04–1.78)

1.06 (0.82–1.36)

1.10 (0.74–1.65)

0.92 (0.74–1.15)

Quintile 4

1.27 (0.98–1.66)

1.17 (0.86–1.58)

1.23 (0.91–1.65)

1.08 (0.88–1.29)

Quintile 5

1.57 (1.20–2.05)

1.37 (0.91–2.05)

1.20 (0.87–1.62)

1.10 (0.91–1.30)

ptrend

0.04

0.04

0.05

0.01

  1. Quintile 1: min to 37.35 mEq/day; Quintile 2: >37.35 to 49.62 mEq/day; Quintile 3: >49.62 to 60.89 mEq/day; Quintile 4: >60.89 to 75.65 mEq/day; Quintile 5: >75.65 to max mEq/day.
  2. +UACR- Urinary albumin to creatinine ratio.
  3. #CKD Stages defined by KDOQI Classification.
  4. @CKD Risk Groups defined by KDIGO Nomenclature.
  5. *Adjustment for demographics (age, gender and race/ethnicity), socio-economic status (education, poverty income ratio), body mass index, risk factors (smoking, diabetes, hypertension, self-reported cardio-vascular diseases [CVD i.e. (coronary heart disease, congestive heart failure or stroke)]), total caloric intake, and body mass index.
  6. OR (95% CI) = Odds Ratio (95% confidence interval).
  7. $From multiple logistic regression.
  8. **From ordinal logistic regression.