Table 1 Baseline patient characteristics.

From: Diagnostic accuracy of point-of-care ultrasound with artificial intelligence-assisted assessment of left ventricular ejection fraction

Characteristic

All Studies (n = 424)

Experienced Scanner (n = 216)

Novice Scanner (n = 208)

Age – median years (IQR)

65 (20)

62.5 (23.5)

67.5 (19.5)

Female – no. (%)

144 (34.0)

83 (38.4)

61 (29.3)

Body mass index – median kg/m2 (IQR)

27.1 (6.8)

27.3 (8.4)

26.7 (5.5)

Weight – median kg (IQR)

80.6 (23.9)

82.5 (23.1)

77.8 (23.5)

Hypertension – no. (%)

250 (59.0)

143 (66.2)

107 (51.4)

Dyslipidemia – no. (%)

225 (53.1)

129 (59.7)

96 (46.2)

Diabetes – no. (%)

107 (25.2)

52 (24.1)

55 (26.4)

Previously documented LV dysfunction – no. (%)

101 (23.8)

79 (36.6)

22 (10.6)

Previous CVA – no. (%)

30 (7.1)

14 (6.5)

16 (7.7)

COPD – no. (%)

28 (6.6)

19 (8.8)

9 (4.3)

Echocardiogram Characteristics

Median LVEF – % (IQR)

56.1 (14.8)

60.0 (10.9)

52.0 (18.4)

Normal LVEF

299 (70.5)

183 (84.7)

116 (55.8)

Abnormal LVEF

125 (29.5)

33 (15.3)

92 (44.2)

Mild dysfunction

56 (13.2)

16 (7.4)

40 (19.2)

Moderate Dysfunction

36 (8.5)

13 (6.0)

23 (11.1)

Severe Dysfunction

33 (7.8)

4 (1.9)

29 (13.9)