Table 2.

Univariable logistic regression showing strength of association between the 11 significant predictors and hypertrophic cardiomyopathy sarcomere gene mutation carriage.

Variable*	Crude OR (95% CI)	p-Value (Wald χ2)
≥ 2 Crypts Present (Y/N)†	35.82 (4.62, 4612)	< 0.001
≥ 1 Crypt Present (Y/N)	12.00 (2.84, 50.77)	< 0.001
FDMaxApical‡	5.19 (2.35, 11.43)	< 0.001
AMVL (mm)	1.31 (1.14, 1.51)	< 0.001
LVESViR	0.05 (0.01, 0.32)	0.002
SWTs (mm)	1.33 (1.11, 1.60)	0.002
AMVL/BSA (mm/m2)	0.76 (0.64, 0.91)	0.003
LVESVi (ml/m2)	0.91 (0.85, 0.97)	0.004
LVESV (ml)	0.95 (0.92, 0.98)	0.004
EF (%)	1.08 (1.01, 1.16)	0.023
PWTs (mm)	1.17 (1.01, 1.36)	0.032

^*Variables are sorted in descending order of significance of p value.

^†Firth’s bias-controlled logistic regression was used for variable ‘≥ 2 Crypts Present’ to account for complete separation. Estimates for the other parameters were derived by fitting a univariable conditional logistic regression.

^‡Coefficients are expressed for each 0.1 unit change in FD_MaxApical.

CI = confidence interval; χ² = Chi-squared; OR = odds ratio; Y/N = yes (present)/no (absent). Other abbreviations as in Table 1.