Table 5.

Diagnostic accuracy of predictors for Pih

Variable	AUC	OR (95% C.I)	Cut-offs	Sensitivity (%)	Specificity (%)	PPV (%)	NPV (%)	Diagnostic accuracy (%)	LR (+)	LR (-)
TAPSE	0.584	0.061 (0.497–0.672)	17.6	85.15	29.58	63.24	58.33	53.3%	1.23	0.48

This model shows a TAPSE Cut-off of 17.6 mm, chosen by Youden’s index (maximizing sensitivity + specificity − 1)

AUC Area under curve, OR Odds ratio, PPV Positive predictive value, NPV Negative predictive value, LR + Positive likelihood ratio, LR- Negative predictive value