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Table 3 Association between TyG-BMI and the trajectory of CRM multimorbidity by multi-state model

From: Association between triglyceride glucose-body mass index and the trajectory of cardio-renal-metabolic multimorbidity: insights from multi-state modelling

Transition

HR (95% CI)

P value

Model 1: Baseline → First CRM disease → Double CRM diseases → Triple CRM diseases

 Baseline → First CRM diseases

1.32 (1.31, 1.33)

 < 0.001

 First CKM diseases → Double CRM diseases

1.24 (1.21, 1.26)

 < 0.001

 Double CKM diseases → Triple CRM diseases

1.23 (1.15, 1.31)

 < 0.001

Model 2: Baseline → First CRM disease subtypes (IHD, Stroke, T2DM, and CKD) → Double CRM diseases → Triple CRM diseases

 Baseline → IHD

1.12 (1.10, 1.14)

 < 0.001

 Baseline → Stroke

0.99 (0.97, 1.02)

0.53

 Baseline → T2DM

1.91 (1.89, 1.94)

 < 0.001

 Baseline → CKD

1.26 (1.23, 1.29)

 < 0.001

 IHD → Double CRM diseases

1.30 (1.26, 1.35)

 < 0.001

 Stroke → Double CRM diseases

1.43 (1.34, 1.51)

 < 0.001

 T2DM → Double CRM diseases

1.05 (1.01, 1.10)

0.01

 CKD → Double CRM diseases

1.18 (1.13, 1.24)

 < 0.001

 Double CRM diseases → Triple CRM diseases

1.23 (1.15, 1.31)

 < 0.001

  1. TyG-BMI was entered as a continuous variable per standard deviation increase. All models were adjusted for age, sex, race, education, Townsend deprivation index, smoking status, drinking status, hypertension history, LDL cholesterol, HDL cholesterol, and creatinine
  2. CI confidence interval, CRM cardio-renal-metabolic, CKD chronic kidney disease, HR hazard ratio, IHD ischemic heart disease, T2DM type 2 diabetes mellitus, TyG-BMI triglyceride glucose-body mass index
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Cardiovascular Diabetology

ISSN: 1475-2840