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Table 6 Relationship between Hb and renal function decline in different models

From: Association between hemoglobin and chronic kidney disease progression: a secondary analysis of a prospective cohort study in Japanese patients

Exposure

Crude model (β,95%CI, P)

Model I (β,95%CI, P)

Model II (β,95%CI, P)

Model III (β,95%CI, P)

Hb

-0.298 (-0.551, -0.045) 0.02118

-0.340 (-0.620, -0.061) 0.01731

-0.436 (-0.778, -0.093) 0.01288

-0.428 (-0.777, -0.079) 0.01638

Hb Quartile

 Q1

Ref

Ref

Ref

Ref

 Q2

0.767 (-0.847, 2.381) 0.35164

0.789 (-0.802, 2.381) 0.33126

0.745 (-0.876, 2.365) 0.36799

0.976 (-0.631, 2.583) 0.23427

 Q3

-0.186 (-1.775, 1.404) 0.81898

0.205 (-1.414, 1.825) 0.80377

-0.163 (-1.949, 1.623) 0.85844

0.059 (-1.719, 1.837) 0.94813

 Q4

-1.322 (-2.903, 0.260) 0.10184

-1.509 (-3.250, 0.232) 0.08964

-2.118 (-4.201, -0.034) 0.04661

-1.795 (-3.868, 0.278) 0.08996

 P for trend

0.05020

0.07445

0.04345

0.06906

  1. Crude model: we did not adjust other covariants
  2. Model I: we adjust age, gender, BMI, SBP, hypertension, diabetes, history of CVD, and etiology of CKD
  3. Model II: we adjust age, gender, BMI, SBP, hypertension, diabetes, etiology of CKD, history of CVD, UPCR, eGFR, ALB, urinary occult blood, use of RAAS inhibitor, use of calcium channel blocker, use of diuretics
  4. CI Confidence, Ref Reference
  5. Model III: we adjust age(smooth), gender, BMI(smooth), SBP(smooth), hypertension, etiology of CKD, diabetes, history of CVD, UPCR(smooth), eGFR(smooth), ALB(smooth), urinary occult blood, use of RAAS inhibitor, use of calcium channel blocker, use of diuretics
  6. CI Confidence, Ref Reference