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Table 5 Univariate analysis on endocrine and metabolic 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

Obesity

99 (1.15%)

491 (10.54%)

103 (5.93%)

7 (4.55%)

< .0001

Type 2 diabetes

352 (4.1%)

1272 (27.31%)

294 (16.93%)

21 (13.64%)

< .0001

Hyperlipidemia

196 (2.28%)

1650 (35.42%)

423 (24.35%)

23 (14.94%)

< .0001

Hypothyroidism

153 (1.78%)

713 (15.31%)

184 (10.59%)

12 (7.79%)

< .0001

Hypovolemia

51 (0.59%)

569 (12.22%)

78 (4.49%)

1 (0.65%)

(< .0001, < .0001, 0.9293)

  1. The p values are shown in the last column. < .0001 was listed in the last column if all of three p values were < .0001