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Table 5 Logistic regression analysis of TG and TC linked to unfavorable outcomes

From: Dyslipidemia versus obesity as predictors of ischemic stroke prognosis: a multi-center study in China

Characteristics

Crude model

Model1

Model2

OR (95%CI)

P-value

OR (95%CI)

P-value

OR (95%CI)

P-value

TG

      

 One-year, n (%)

1.332 (1.097–1.618)

0.004

1.333 (1.098–1.618)

0.004

1.333 (1.098–1.619)

0.004

 Two-year, n (%)

1.195 (1.015–1.407)

0.032

1.192 (1.010–1.407)

0.038

1.195 (1.015–1.408)

0.033

 Three-year, n (%)

1.098 (0.958–1.258)

0.178

1.190 (0.949–1.253)

0.222

1.191 (0.949–1.254)

0.222

TC

      

 One-year, n (%)

1.369 (1.069–1.754)

0.013

1.376 (1.074–1.763)

0.012

1.378 (1.074–1.767)

0.012

 Two-year, n (%)

1.045 (0.867–1.259)

0.645

1.047 (0.869–1.262)

0.629

1.047 (0.869–1.263)

0.629

 Three-year, n (%)

1.042 (0.908–1.197)

0.558

1.046 (0.911–1.202)

0.525

1.047 (0.911–1.202)

0.521

  1. A generalized linear model (GLM) was utilized to perform univariate and multivariate logistic regression, employing a binomial family and logit link. Model1: adjusted for sex and age. Model2: adjusted for sex, age, and hypertension