Table 3:

Univariable Cox Models Assessing Relationship between Right Heart Indices and Incident Cardiovascular Events

Model using continuous variables	HR (95% CI)	p
RA indices
RA pressure, per 1 mmHg increase	1.28 (1.11–1.33)	<0.001
RA reservoir strain, per 1% decrease	1.09 (1.03–1.15)	<0.001
RA volume index, per 1 ml/m2 increase	1.06 (1.01–1.11)	0.008
RV indices
RV global longitudinal strain, per 1% decrease	1.07 (1.02–1.98)	0.004
RV end-diastolic area, per 1 cm2 increase	1.05 (1.01–1.10)	0.03
Tricuspid regurgitation	---	---
PA indices
RVSP, per 1 mmHg increase	1.06 (1.02–1.09)	0.005
Model using categorical variables	HR (95% CI)	p
RA indices
RA pressure ≥8 mmHg	3.19 (1.43–6.91)	<0.001
RA reservoir strain <31%	2.66 (1.93–5.14)	<0.001
RA volume index >27 ml/m2 (F) or >32 ml/m2 (M)	2.89 (1.17–4.52)	0.007
RV indices
RV global longitudinal strain >−18%	2.23 (1.18–4.76)	<0.001
RV end-diastolic area >25 cm2	2.91 (1.08–7.24)	0.02
≥Moderate tricuspid regurgitation	2.17(1.25–5.17)	0.008
PA indices
RVSP >40 mmHg	4.26 (2.92–9.14)	<0.001

RA: Right atrium; RV: Right ventricle; RVSP: Right ventricular systolic pressure; PA: Pulmonary artery; HR: Hazard ratio; CI: Confidence interval

The right heart indices were modeled as continuous variables (top) and as binary variables (normal vs abnormal values; bottom). The cut-off points for categorization into binary groups were based on published data described in the Methods section.