Table 2

Sociodemographic and clinical characteristics for subgroups of asthma by NLP-PAC and NLP-API.

NLP-PAC+/
NLP-API+ (n=1614)
NLP-PAC+ only
(n=954)
NLP-API+ only (n=105)NLP-PAC/
NLP-API (n=5523)
Total
(n=8196)
P value
Age at the last follow-up date, years, mean (SD)12.2 (3.1)12.2 (3.1)11.8 (3.2)11.6 (3.2)11.8 (3.2)<0.001
Male, n (%)959 (59)521 (55)58 (55)2664 (48)4202 (51)<0.001
Ethnicity, n (%)0.007
 White1289 (80)779 (82)77 (73)4414 (80)6559 (80)
 Black93 (6)53 (6)8 (8)244 (4)398 (5)
 Hispanic50 (3)27 (3)7 (7)233 (4)317 (4)
 Asian69 (4)26 (3)5 (5)270 (5)370 (5)
 Others101 (6)60 (6)7 (7)314 (6)482 (6)
HOUSES* at birth in the lowest quartile, n (%)343 (21)191 (20)23 (22)971 (18)1528 (19)0.004
Overweight†, n (%)281 (17)179 (19)20 (19)N/A480 f (18)0.62‡
Maternal smoking history during pregnancy, n (%)131 (8)88 (9)12 (11)105 (2)336 (4)0.52
Family history of asthma, n (%)586 (36)135 (14)36 (34)826 (15)1583 (19)<0.001
Well-child visit per year, mean (SD)0.95 (0.31)0.90 (0.29)0.96 (0.36)0.93 (0.36)0.93 (0.34)<0.001
  • The percentage of each variable was calculated with the number of each group (column %).

  • *HOUSES: individual-level housing-based socioeconomic status measure in quartile.

  • †Overweight at asthma index date (for children age 2 years or more, body mass index-for-age at or above 85% used (https://www.cdc.gov/obesity/childhood/defining.html)); for those age less than 2 years, weight-for-lengths at or above 95%; (https://www.cdc.gov/nccdphp/dnpao/growthcharts/who/using/).

  • ‡Overweight for NLP-PAC/NLP-API group is not available; p values were calculated among asthmatic group, n=2673 (NLP-PAC+/NLP-API+, NLP-PAC+ only and NLP-API+ only).

  • NLP, natural language processing; NLP-API, NLP algorithms for Asthma Predictive Index; NLP-PAC, NLP algorithms for Predetermined Asthma Criteria .