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Table 2 Relationships between the TyG-BMI and all-cause mortality according to different models

From: Associations between triglyceride-glucose body mass index and all-cause mortality in ICU patients with sepsis and acute heart failure

TyG-BMI

Model 1

Model 2

Model 3

Model 4

OR (95% CI)

P value

OR (95% CI)

P value

OR (95% CI)

P value

OR (95% CI)

P value

90-day mortality

0.997 (0.996,0.999)

< 0.0001

0.998 (0.997,1.000)

0.026

0.998 (0.997,1.000)

0.037

0.998 (0.996,0.999)

0.004

Tertile1

Ref

Ref

Ref

Ref

Tertile2

0.723(0.564,0.927)

0.010

0.706(0.538,0.926)

0.012

0.745(0.565,0.983)

0.038

0.708(0.527,0.952)

0.022

Tertile3

0.562(0.435,0.726)

< 0.0001

0.630(0.472,0.840)

0.002

0.650(0.483,0.875)

0.004

0.600(0.434,0.830)

0.002

P for trend

< 0.0001

< 0.0001

< 0.0001

< 0.0001

180-day mortality

0.997 (0.996,0.998)

< 0.0001

0.998 (0.996,0.999)

0.006

0.998 (0.997,1.000)

0.012

0.997 (0.996,0.999)

0.001

Tertile1

Ref

Ref

Ref

Ref

Tertile2

0.684(0.538,0.871)

0.002

0.676(0.519,0.880)

0.004

0.709(0.541,0.928)

0.012

0.679(0.510,0.903)

0.008

Tertile3

0.492(0.383,0.631)

< 0.0001

0.542(0.409,0.718)

< 0.0001

0.560(0.419,0.748)

< 0.0001

0.513(0.374,0.703)

< 0.0001

P for trend

< 0.0001

< 0.0001

< 0.0001

< 0.0001

  1. OR, odds ratio; CI, confidence interval
  2. Model 1: Unadjusted model
  3. Model 2: Adjusted for age, sex, ethnicity, cerebrovascular disease, renal disease, the Charlson comorbidity index, the SOFA score, the SAPSII score and septic shock
  4. Model 3: Adjusted for variables included in Model 2 + SBP, heart rate, respiratory rate, temperature and SpO2
  5. Model 4: Adjusted for variables included in Model 3 + white blood cell count, hemoglobin, platelet count, anion gap, bicarbonate, calcium, blood urea nitrogen, sodium, potassium, prothrombin time, glucose, β-blockers, diuretics, lipid-lowering drugs and ACEIs