0 309

Cited 0 times in

Prediction of postinfectious bronchiolitis obliterans prognosis in children

 Jae Hwa Jung  ;  Ga Eun Kim  ;  In Kyung Min  ;  Haerin Jang  ;  Soo Yeon Kim  ;  Min Jung Kim  ;  Yoon Hee Kim  ;  Hyun Joo Shin  ;  Haesung Yoon  ;  Myung Hyun Sohn  ;  Mi-Jung Lee  ;  Kyung Won Kim 
 PEDIATRIC PULMONOLOGY, Vol.56(5) : 1069-1076, 2021-05 
Journal Title
Issue Date
bronchiolitis obliterans ; child ; nomogram ; prognosis
Introduction: The prognosis of postinfectious bronchiolitis obliterans (PIBO) has many implications, ranging between reduced quality of life and life-threatening complications. We evaluated the prognostic factors for PIBO using the baseline clinical characteristics of patients and built a prediction model for determining the prognoses of PIBO patients using the identified parameters.

Methods: We included 47 PIBO patients who underwent spirometry and impulse oscillometry and followed them up for at least 1 year. A patient's prognosis was classified as poor if the patient experienced at least one of the following: persistent respiratory symptoms for more than 1 year, two or more instances of hospitalizations due to respiratory symptoms, or more than one intensive care unit admission.

Results: The prognoses of 32/47 (68.1%) patients was good, while that of 15/47 (31.9%) was poor. Spirometry results showed significantly lower forced vital capacity (FVC), forced expiratory volume in the first second (FEV1 ), forced expiratory flow at 25%-75% of FVC, and post-bronchodilator (BD) FEV1 values in the poor prognosis group; chest computed tomography (CT) demonstrated more inflammatory bronchiolitis findings. We created a nomogram for predicting prognoses using post-BD FEV1 and inflammatory bronchiolitis on chest CT. The area under the curve for the nomogram was 84.6% (95% confidence interval: 72.8%-96.4%).

Conclusions: PIBO patients with lower pulmonary function values and more findings of inflammatory bronchiolitis on initial examination have poor prognoses. The nomogram for predicting PIBO prognosis is easy to use and can be applied at the time of diagnosis.
Full Text
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Kyung Won(김경원) ORCID logo https://orcid.org/0000-0003-4529-6135
Kim, Min Jung(김민정) ORCID logo https://orcid.org/0000-0002-5634-9709
Kim, Soo Yeon(김수연) ORCID logo https://orcid.org/0000-0003-4965-6193
Kim, Yoon Hee(김윤희) ORCID logo https://orcid.org/0000-0002-2149-8501
Sohn, Myung Hyun(손명현) ORCID logo https://orcid.org/0000-0002-2478-487X
Shin, Hyun Joo(신현주) ORCID logo https://orcid.org/0000-0002-7462-2609
Yoon, Haesung(윤혜성) ORCID logo https://orcid.org/0000-0003-0581-8656
Lee, Mi-Jung(이미정) ORCID logo https://orcid.org/0000-0003-3244-9171
Jung, Jae Hwa(정재화)
사서에게 알리기


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.