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. 2025 Apr 2;25:149. doi: 10.1186/s12890-025-03597-x

Table 6.

Linear regression analysis for TyG index with Days in hospital

Categories Model 1 Model 2 Model 3
Beta [95% CI] P-value Beta [95% CI] P-value Beta [95% CI] P-value
Days in hospital
 Continuous variable per 1 unit 0.922[0.066, 1.777] 0.035 0.962[0.081, 1.842] 0.033 0.972[0.104, 1.840] 0.028
Quartilea
 Q1 (N = 308) Ref Ref Ref
 Q2 (N = 309) 1.146[−0.452, 2.745] 0.200 1.007[−0.577, 2.591] 0.200 0.727[0.646, 2.099] 0.300
 Q3 (N = 307) 1.830[0.229, 3.431] 0.025 1.872[0.280, 3.463] 0.021 1.477[0.070, 2.884] 0.040
 Q4 (N = 308) 1.779[0.179, 3.379] 0.029 1.777[0.154, 3.400] 0.032 1.642 [0.073, 3.212] 0.041

Model 1: unadjusted

Model 2: adjusted for Age, Gender, BMI

Model 3: adjusted for Age, Gender, BMI, Cerebrovascular disease, Coronary heart disease, Heart failure, Diabetes mellitus, Hypertension, Asthma, use Bronchodilators, use Glucocorticoid, use Antibiotic, Albumin, High Density Lipoprotein, Low Density Lipoprotein, Total cholesterol, Activated partial thromboplastin time, Blood urea nitrogen, Potassium, Sodium, Glycosylated Hemoglobin, Type A1C

HR hazard ratio, CI confidence interval, TyG index Triglyceride glucose index

aTyG index: Q1 (≤ 8.408048, Q2 (8.408048 < TyG ≤ 8.759355), Q3 (8.759355 < TyG ≤ 9.205240), Q4 (> 9.205240)