Table 1 Patients’ demographic and comorbidity characteristics.

From: Radiomics early assessment of post chemotherapy cardiotoxicity in cancer patients using 2D echocardiography imaging an interpretable machine learning study

 

Total population

(n = 100)

Non-cardiotoxicity

(n = 59)

Cardiotoxicity

(n = 41)

P value

Baseline ejection fraction (%)

50.25 ± 9.19

47.46 ± 10.96

54.27 ± 2.64

0.001*

Age

54.53 ± 13.72

55.68 ± 14.19

52.88 ± 13.02

0.32

Height

162.33 ± 7.60

162.86 ± 8.23

161.56 ± 6.61

0.40

Weight

69.78 ± 12.70

70.96 ± 13.57

68.1 ± 11.28

0.27

BMI (Kg/m2)

26.24 ± 4.44

26.46 ± 4.44

25.91 ± 4.48

0.54

Female Sex, n,(%)

84 (84%)

45 (76%)

39 (91%)

0.007*

Diabetes, n,(%)

18 (18%)

11 (18.64%)

8(19.51%)

0.29

Hypertension, n,(%)

21 (21%)

12 (20.33%)

9 (22%)

0.84

Dyslipidemia, n,(%)

25 (25%)

14 (23.7%)

11 (26.8%)

0.81

Previous Cardiovascular Disease, n,(%)

16 (16%)

13 (22%)

3 (7.3%)

0.056

Smoking, n,(%)

9 (9%)

6 (10.2%)

3 (7.3%)

0.45

Alcohol, n,(%)

0 (0%)

0 (0%)

0 (0%)

0.99

Metastasis, n,(%)

19 (19%)

11 (18.6%)

8 (19.5%)

0.91

  1. *P value <0.05, statistically significant.