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Table 1 The univariate and multivariate cox analyses for the relationship between remnant cholesterol and all-cause mortality in patients with breast cancer

From: Remnant cholesterol is an effective biomarker for predicting survival in patients with breast cancer

 

Crude model

Adjusted model

HR (95%CI)

p

HR (95%CI)

p

Continuous (n = 709)

1.33 (1.06,1.68)

0.015

1.27 (1.01,1.59)

0.037

Cutoff value

    

 C1 (≤ 0.82, n = 486)

Ref

 

Ref

 

 C2 (> 0.82, n = 223)

1.68 (1.15,2.46)

0.007

1.64 (1.11,2.45)

0.014

Tertiles

    

 T1 (< 0.41, n = 237)

Ref

 

Ref

 

 T2 (< 0.80, n = 236)

1.10 (0.67,1.78)

0.710

1.22 (0.75,1.99)

0.431

 T3 (≥ 0.80, n = 236)

1.59 (1.01,2.5)

0.045

1.60 (1.01,2.56)

0.048

p for trend

 

0.042

 

0.048

  1. Notes: Crude model: no adjusted
  2. Adjusted model: adjusted for age, TNM stage, BMI, diabetes, hypertension, coronary heart disease, smoking, drinking, family history of tumour