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Table 2 The sensitivity analyses of the relationship between remnant cholesterol and mortality by excluding patients with underlying diseases (diabetes, hypertension and coronary heart disease) and excluding patients with short-term deaths (1-year)

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

excluding patients with underlying diseases

 

Crude model

Adjusted model

HR (95%CI)

p

HR (95%CI)

p

Continuous (n = 550)

1.45 (1.16,1.82)

0.001

1.38 (1.1,1.71)

0.004

Cutoff value

    

 C1 (≤ 0.82, n = 391)

Ref

 

Ref

 

 C2 (> 0.82, n = 159)

1.94 (1.27,2.99)

0.002

1.81 (1.15,2.82)

0.01

Tertiles

    

 T1 (< 0.41, n = 202)

Ref

 

Ref

 

 T2 (< 0.80, n = 180)

1.42 (0.82,2.45)

0.210

1.56 (0.91,2.7)

0.109

 T3 (≥ 0.80, n = 168)

2.09 (1.24,3.52)

0.005

1.93 (1.13,3.28)

0.016

p for trend

 

0.005

 

0.015

excluding patients with short-term deaths (1-year)

Continuous (n = 648)

1.56 (1.2,2.02)

0.001

1.51 (1.18,1.93)

0.001

Cutoff value

    

 C1 (≤ 0.82, n = 450)

Ref

 

Ref

 

 C2 (> 0.82, n = 198)

1.84 (1.17,2.9)

0.009

1.97 (1.22,3.18)

0.006

Tertiles

    

 T1 (< 0.41, n = 218)

Ref

 

Ref

 

 T2 (< 0.80, n = 220)

1.31 (0.72,2.37)

0.377

1.35 (0.74,2.48)

0.324

 T3 (≥ 0.80, n = 210)

1.89 (1.08,3.31)

0.025

1.96 (1.1,3.49)

0.023

p for trend

 

0.023

 

0.022

  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