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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