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Table 6 Univariate analysis on circulatory system diagnosis between CC and non-CC clusters

From: Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data

 

Non-CC (N = 8588)

CC-1 (N = 4658)

CC-2 (N = 1737)

CC-3 (N = 154)

p value

Essential hypertension

735 (8.56%)

2400 (51.52%)

647 (37.25%)

43 (27.92%)

< .0001

Nonspecific chest pain

498 (5.8%)

1201 (25.78%)

330 (19%)

35 (22.73%)

< .0001

Long term or current use of aspirin

8 (0.09%)

694 (14.9%)

84 (4.84%)

4 (2.6%)

< .0001

Congestive heart failure

27 (0.31%)

674 (14.47%)

88 (5.07%)

4 (2.6%)

< .0001

Atrial fibrillation

25 (0.29%)

572 (12.28%)

79 (4.55%)

2 (1.3%)

(< .0001, < .0001, 0.0255)

Hypertensive chronic kidney disease

14 (0.16%)

537 (11.53%)

59 (3.4%)

4 (2.6%)

< .0001