Table 3.
Effectiveness of Different Sets of Home-Collected Data in Decision Support Systems Classifying Asthma Exacerbations Measured Using AUC
| Parameter or Set of Parameters Used for Classifier Development | AUC, % (95% CI) | ||
|---|---|---|---|
| Children Aged 0-5 y | Children Aged 6-17 y | Adults | |
| Wheezes | 83.8 (82.3-85.4) | 79.5 (77.2-81.8) | 71.3 (67.3-75.3) |
| Rhonchi | 77.0 (75.0-79.0) | 81.3 (79.0-83.5) | 75.4 (72.6-78.3) |
| Fine crackles | 71.9 (69.7-74.2) | 77.3 (74.9-79.7) | 68.3 (64.2-72.5) |
| Coarse crackles | 69.7 (67.3-72.0) | 79.1 (75.1-83.2) | 61.9 (55.2-68.6) |
| Heart rate | 61.1 (58.3-63.9) | 62.8 (60.0-65.6) | 65.1 (56.9-73.2) |
| Respiratory rate | 61.7 (57.5-65.9) | 67.6 (64.1-71.0) | 61.3 (55.7-66.8) |
| Inspiration-to-expiration ratio | 59.9 (57.6-62.2) | 64.6 (62.0-67.2) | 62.1 (57.4-66.8) |
| All parameters provided by AI-aided stethoscope | 93.0 (92.1-93.9) | 92.4 (91.1-93.7) | 81.0 (75.1-86.8) |
| Symptoms (survey) | 72.0 (70.1-73.9) | 78.5 (76.8-80.3) | 92.0 (89.4-94.6) |
| Peripheral capillary oxygen saturation | 66.6 (62.6-70.7) | 68.1 (65.0-71.1) | 71.5 (66.5-76.5) |
| Peak expiratory flow | n/aa | 62.5 (57.2-67.7) | 67.8 (58.9-76.8) |
| All parameters | 93.2 (92.1-94.4) | 92.4 (90.9-93.9) | 93.7 (92.1-95.3) |
AI = artificial intelligence; AUC = area under the receiver operating characteristic curve; n/a = not applicable.
a
Acquiring reliable data for younger children poses substantial challenges.1