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. 2022 Jan 4;12(1):e049325. doi: 10.1136/bmjopen-2021-049325

Table 2.

Effects of multiple variables on clinical outcomes in univariate and multivariate analysis

Univariate analysis Multivariate analysis*
OR 95% CI P value OR 95% CI P value
NT-pro-BNP per 100 pg/mL increase 1.007 1.006 to 1.008 <0.001
ALBI as a continuous variable
ALBI, per 0.1 score increase 1.135 1.108 to 1.163 <0.001 1.082 1.052 to 1.114 <0.001
ALBI as a categories variable
 Tertile 1 Reference Reference
 Tertile 2 1.167 0.839 to 1.624 0.358 0.863 0.612 to 1.212 0.398
 Tertile 3 3.082 2.326 to 4.084 <0.001 1.671 1.228 to 2.274 0.001

*Adjusted for age, sex, NYHA grading, heart rate on admission, SBP on admission, SGPT, SGOT, LDL, creatinine, haemoglobin, serum Na, FBG, cTNI, LVEF, CHD, hypertension, AF, DM, smoking.

AF, atrial fibrillation; ALBI, albumin-bilirubin; CHD, coronary heart disease; cTNI, cardiac troponin I; DM, diabetes mellitus; FBG, fasting blood glucose; LDL, low-density lipoprotein; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association; SBP, stylostic blood pressure; SGOT, serum glutamic oxaloacetic transaminase; SGPT, serum glutamate-pyruvate transaminase.