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Table 2 Logistic regression analysis

From: Alcohol consumption may be associated with postoperative delirium in the elderly: the PNDABLE study

  

Unadjusted

  

Adjusted

 

OR

95%CI

P value

OR

95%CI

P value

A

 mean daily alcohol intake

1.016

1.009–1.023

P < 0.001

1.015

1.009–1.023

P < 0.001

 Aβ40(pg/ml)

1.000

0.999-1.00

P < 0.05

1.000

0.999-1.000

P < 0.05

 Aβ42(pg/ml)

0.992

0.988–0.997

P < 0.05

0.992

0.987–0.997

P < 0.05

 P-tau(pg/ml)

1.076

1.011–1.144

P < 0.05

1.073

1.008–1.142

P < 0.05

 T-tau(pg/ml)

1.005

0.997–1.013

P > 0.05

-

-

-

B

 < 12g

-

     

 12-23g

0.746

0.482-1.155

P> 0.05

0.000

0.000-0.000

P> 0.05

 >24g

1.014

1.008-1.021

P< 0.05

1.011

1.003-1.019

P< 0.05

  1. Binary logistic regression was used to discuss whether the amount of alcohol intake was an independent influence on POD. Unadjusted: covariates including mean daily alcohol intake, Aβ40, Aβ42, P-tau, T-tau;Adjusted: through adding more covariates, including age, gender, years of education, BMI, which showed that the results were barely changed in this analysis
  2. The average daily alcohol intake was transformed into a rank variable according to the above classification ; unadjusted :Relationship between alcohol classification and POD of the same grade; Adjusted: through adding more covariates, including age, gender, years of education, cigarette use (yes or no), hypertension (yes or no), Coronary heart disease(yes or no), diabetes(yes or no) and MMSE, which showed that the results were barely changed in this analysis
  3. Patients with a rank variable of 1 were not included in this regression analysis because POD did not occur in patients with an average daily alcohol intake of < 12 g.
  4. Abbreviations: OR Odds ratio, CI Confidence interval;Â