Table 1 Baseline characteristics of the patients analyzed.

From: Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease

 

Decompensated HF

Exacerbated COPD

Decompensation of both pathologies

Total N

22

25

13

Age, years (SD)

78 (8)

72 (8)

75 (11)

Male sex (n, %)

8 (36)

19 (76)

10 (77)

Body mass index (SD)

27 (5)

26 (4)

28 (9)

Type 2 diabetes mellitus (n, %)

9 (41)

6 (24)

5 (38)

Dyslipidemia (n, %)

7 (32)

11 (44)

5 (38)

Active smoking (n, %)

0

7 (28)

1 (8)

Osteoarthritis (n, %)

16 (73)

13 (52)

6 (46)

Mean length of hospital stay in days (SD)

7.6 (4.3)

7.3 (3)

27.4 (43.5)

Previous admissions for HF/COPD, IQR [25, 75]

1.0 IQR [0.0, 2.0]

1.0 IQR [1.0, 2.0]

1.0 IQR [1.0, 3.0]

Number of days prior to discharge at the V1 assessment (SD)

4.9 (16.7)

7.3 (15.4)

4.6 (7)

Dyspnea according to the NYHA scale, IQR [25, 75]

2.0 IQR [2.0, 2.75]

2.0 IQR [1.0, 3.0]

2.0 IQR [1.0, 2.0]

Dyspnea according to the mMRC scale, IQR [25, 75]

3.0 IQR [3.0, 4.0]

3.0 IQR [2.0, 3.0]

4.0 IQR [1.0, 4.0]