Asthma predictive index as a useful diagnostic tool in preschool children: a cross-sectional study in Korea

• Main Authors: Dong Hyeon Lee (Author), Ji-Won Kwon (Author), Hyung Young Kim (Author), Ju-Hee Seo (Author), Hyo-Bin Kim (Author), So-Yeon Lee (Author), Gwang-Cheon Jang (Author), Dae-Jin Song (Author), Woo Kyung Kim (Author), Young-Ho Jung (Author), Soo-Jong Hong (Author), Jung Yeon Shim (Author)
• Format: Book
• Published: The Korean Pediatric Society, 2020-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background It is challenging to diagnose asthma in preschool children. The asthma predictive index (API) has been used to predict asthma and decide whether to initiate treatment in preschool children. Purpose This study aimed to investigate the association between questionnaire-based current asthma...