New time-saving predictor algorithm for multiple breath washout in adolescents

作者：Gronbaek Jonathan; Hallas Henrik Wegener; Arianto Lambang; Pedersen Knud; Thomsen Arne; Chawes Bo Lund; Bisgaard Hans^*

来源：Pediatric Research, 2016, 80(1): 49-53.

DOI：10.1038/pr.2016.57

BACKGROUND: Multiple breath washout (MBW) is an informative but time-consuming test. This study evaluates the uncertainty of a time-saving predictor algorithm in adolescents.
METHODS: Adolescents were recruited from the Copenhagen Prospective Study on Asthma in Childhood (COPSAC(2000)) birth cohort. MBW trials were performed at 13 y of age with Innocor model Inn00400 using sulfur hexafluoride (SF6) as tracer gas. Measurements were analyzed using a mixed model focusing on two prediction points doubling (t5%) and quadrupling (t10%) the standard end point (t2.5%).
RESULTS: One hundred and seventy-two MBW trials conducted in 78 adolescents with and without asthma from COPSAC(2000) were included. At t10%, the washout time (WoT) was reduced by 41%, and an uncertainty of 0.159 lung clearance index (LCI) units was introduced (+/- 2 SD), +/- 1.27). At t5%, the WoT was reduced by 25%, with an uncertainty of 0.083 LCI units (+/- 0.558). The optimal prediction point, which led to most saved time and least uncertainty was t5%.
CONCLUSION:The predictor algorithm is capable of shortening the MBW test time but introduces an increasing uncertainty with earlier prediction points. This first-of-a-kind prediction algorithm holds promise in shortening the MBW test in children but should be used with caution in subjects with normal LCI values.

• 出版日期2016-7