Table 2 Clinical characteristics of the training set validation set
From: A machine learning-based severity stratification tool for high altitude pulmonary edema
Characteristic | test, N = 1001 | train, N = 2361 | p-value2 |
|---|---|---|---|
Sex | 76 (76%) | 190 (81%) | 0.4 |
Age | 37 (26, 44) | 31 (26, 42) | 0.095 |
Height | 169 (165, 172) | 170 (165, 173) | 0.056 |
Weight | 72 (62, 78) | 74 (65, 77) | 0.4 |
BMI | 24.6 (22.7, 26.2) | 25.0 (23.1, 26.4) | 0.4 |
Fatigue | 20 (20%) | 62 (26%) | 0.2 |
Loss of taste | 24 (24%) | 53 (22%) | 0.8 |
Nausea | 71 (71%) | 194 (82%) | 0.03 |
Sleep disorder | 20 (20%) | 52 (22%) | 0.7 |
Dizzy | 70 (70%) | 143 (61%) | 0.1 |
Cough | 83 (83%) | 204 (86%) | 0.4 |
Short breath | 52 (52%) | 123 (52%) | > 0.9 |
Dyspnea | 25 (25%) | 53 (22%) | 0.6 |
Palpitations | 21 (21%) | 41 (17%) | 0.4 |
Bluishlips | 19 (19%) | 30 (13%) | 0.14 |
Sputum | 0.7 | ||
no | 94 (94%) | 214 (91%) | |
yes | 6 (6.0%) | 21 (8.9%) | |
Lungrales | 0.4 | ||
None | 16 (16%) | 52 (22%) | |
Unilateral or bilateral lung floor rales (small amount) | 55 (55%) | 113 (48%) | |
Unilateral or bilateral middle and lower lobes of the lungs (moderate amount) | 24 (24%) | 53 (22%) | |
Large amount of rales (full lungs) | 5 (5.0%) | 18 (7.6%) | |
SPO2 | 75 (65, 84) | 76 (68, 85) | 0.4 |
SBP | 120 (115, 132) | 120 (111, 130) | 0.3 |
DBP | 80 (70, 86) | 80 (70, 88) | > 0.9 |
ct | 0.5 | ||
Normal | 1 (1.0%) | 8 (3.4%) | |
Double lung/texture | 7 (7.0%) | 13 (5.5%) | |
Bipulmonary lower field inner bands/patchy/bipulmonary lower field inner bands/flocculent | 26 (26%) | 52 (22%) | |
Others | 66 (66%) | 163 (69%) | |
Group | > 0.9 | ||
Mild | 20 (20%) | 47 (20%) | |
Moderate | 72 (72%) | 168 (71%) | |
Sever | 8 (8.0%) | 21 (8.9%) |