Table 2 Associations between preoperative SF levels and POD risk in univariate and multivariable logistic regression models.

From: Preoperative serum ferritin as a biomarker for predicting delirium among elderly patients receiving non-cardiac surgery: a retrospective cohort study

 

Events

Model 1a (p for trend = 0.040)

Model 2b (p for trend = 0.266)

Model 3c (p for trend = 0.011)

 

OR (95% CI)

p-value

OR (95% CI)

p-value

OR (95% CI)

p-value

Continuous

 log10 SF

445 (3.5%)

1.19 (0.98, 1.44)

0.090

1.06 (0.87, 1.30)

0.560

1.27 (1.04, 1.55)

0.018

Categorical

 Quintile 1

111 (4.3%)

1.99 (1.45, 2.77)

<0.001

1.81 (1.31, 2.53)

<0.001

1.44 (1.03, 2.04)

0.037

 Quintile 2

57 (2.2%)

1 (reference)

 

1 (reference)

 

1 (reference)

 

 Quintile 3

65 (2.5%)

1.15 (0.80, 1.65)

0.459

1.20 (0.83, 1.73)

0.325

1.26 (0.88, 1.82)

0.210

 Quintile 4

85 (3.3%)

1.51 (1.08, 2.13)

0.017

1.47 (1.04, 2.09)

0.029

1.54 (1.09, 2.18)

0.015

 Quintile 5

127 (4.9%)

2.29 (1.68, 3.17)

<0.001

1.91 (1.37, 2.69)

<0.001

1.86 (1.33, 2.61)

<0.001

  1. SF serum ferritin, POD postoperative delirium, OR odds ratio, CI confidence interval, BMI body mass index, NLR neutrophil-to-lymphocyte ratio, TBil total bilirubin, ALT alanine aminotransferase, Hb hemoglobin.
  2. aUnadjusted model.
  3. bMultivariable model adjusted for age, sex, BMI, NLR, TBil, ALT, cancer, diabetes mellitus, and renal insufficiency.
  4. cMultivariable model additionally adjusted for Hb levels as a potential mediator.
Back to article page