From: Novel criteria to classify ARDS severity using a machine learning approach
Mild | Moderate | Severe | All | |
---|---|---|---|---|
A. ARDS patients | 506 (37.73%) | 678 (50.56%) | 157 (11.71%) | 1341 (100%) |
B. Descriptive feature—means and 95% CI | ||||
Age | 61.77 [60.37, 63.17] | 60.61 [59.42, 61.79] | 60.24 [57.42, 63.07] | 61.01 [60.14, 61.87] |
PEEP | 7.41 [7.11, 7.71] | 9.40 [9.06, 9.75] | 11.68 [10.83, 12.52] | 8.92 [8.68, 9.16] |
Heart Rate_Mean | 92 [90, 94] | 92 [91, 94] | 96 [93, 99] | 93 [92, 94] |
Respiratory Rate_Mean | 21 [20, 21] | 21 [21, 22] | 22 [21, 23] | 21 [21, 22] |
Heart Rate_Max | 114 [112, 116] | 114 [112, 116] | 120 [116, 124] | 115 [113, 116] |
Heart Rate_Min | 75 [74, 77] | 76 [75, 78] | 78 [75, 81] | 76 [75, 77] |
Respiratory Rate_Max | 30 [29, 31] | 30 [29, 31] | 32 [31, 34] | 30 [30, 31] |
Respiratory Rate_Min | 13 [13, 14] | 13 [13, 14] | 13 [13, 14] | 13 [13, 14] |
SpO2_Mean | 97 [97, 98] | 96 [96, 97] | 96 [95, 96] | 97 [96, 97] |
SpO2_Max | 100 [100, 101] | 100 [99, 100] | 100 [99, 100] | 100 [99, 100] |
SpO2_Min | 90 [89, 90] | 88 [87, 89] | 85 [83, 87] | 88 [88, 89] |