Logistic regression analysis for predicting AVS according to the VAF
Model | VAF≥0.5% | VAF≥1% | VAF≥2% | |||||
---|---|---|---|---|---|---|---|---|
OR (95% CI) | OR (95% CI) | OR (95% CI) | ||||||
Model 1 |
1.19 (0.65–2.19) | 0.570 | 2.43 (1.20–4.94) | 0.014 | 3.62 (1.20–10.93) | 0.022 | ||
Model 2 |
1.03 (0.52–2.04) | 0.927 | 2.44 (1.11–5.36) | 0.027 | 3.86 (1.19–12.56) | 0.025 | ||
IPTW cohort |
1.00 (0.64–1.57) | 0.987 | 2.45 (1.47–4.08) | <0.001 | 5.13 (2.28–11.58) | <0.001 |
*Model 1 was adjusted for age and sex.
†Model 2 was adjusted for model 1 plus hypertension, diabetes mellitus, dyslipidemia, previous stroke, glomerular filtration rate, high-density lipoprotein, C-reactive protein, NT-proBNP, septal e′, septal E/e′, and the left-atrial volume index.
‡The IPTW model was adjusted for hypertension, diabetes mellitus, dyslipidemia, previous stroke, body mass index, hemoglobin, glomerular filtration rate, high-density lipoprotein, and C-reactive protein.
§
Abbreviations: AVS, aortic valve sclerosis; VAF, variant allele frequency; OR, odds ratio; IPTW, inverse-probability treatment weighting; NT-proBNP, N-terminal prohormone of brain natriuretic peptide; E/e′, comparative rate of peak velocity of early trans-mitral inflow against the early diastolic velocity at the mitral annulus.
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