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. 2021 Jan 6;21:5. doi: 10.1186/s12903-020-01356-4

Table 4.

Logistic regression for the prediction model of myocardial infarction

Parameter B SE Wald OR 95% CI p
Number of teeth − 0.10 0.06 2.84 0.90 0.80–1.02 0.092
API [%] 0.07 0.02 15.98 1.08 1.04–1.12  < 0.001
BoP [%] − 0.07 0.02 10.83 0.93 0.89–0.97 0.001
PD [mm] 0.82 0.48 2.93 2.26 0.89–5.76 0.087

The model was adjusted for demographic and clinical confounders: age, sex, medications, smoking, and diabetes

B—non-standardized regression coefficient, SE—standard error, Wald—Wald test value, OR—odds ratio, 95%CI— confidence interval, p— significance level