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Table 1 Participant demographic data

From: Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: insights on features that impact performance

Characteristics

Proportion

Male

118*/138 (85.5%)

Scanned by nurse

91/138 (65.9%)

Scanned by physician

47/138 (34.1%)

Rhythm atrial fibrillation or atrial flutter at the time of scan

54/138 (39.1%)

LVEF > 50%

27/138 (19.6%)

Type of cardiomyopathy

• NICMO

• ICMO

• Unknown

Type of cardiomyopathy

• 73/138 (52.9%)

• 53/138 (38.4%)

• 12/138 (8.7%)

Variable

Mean ± SD

Age (y)

66.2 ± 14.3

Weight (kg)

81.4 ± 18.6

BMI (kg/m2)

27.0 ± 5.5

Heart rate at time of scan (BPM)

73.9 ± 16.6

Systolic BP (mmHg)

121.7 ± 19.8

Diastolic BP (mmHg)

68.7 ± 10.1

  1. *1 individual identified as a transgender man, analyzed as female sex for this study