Thorax · 2022
Minimal important difference in childhood interstitial lung diseases.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Griese Matthias, Schwerk Nicolaus, Carlens Julia, Wetzke Martin, Emiralioğlu Nagehan, Kiper Nural, Lange Joanna, Krenke Katarzyna, chILD collaborators, Seidl Elias
Аннотация
BACKGROUND: Monitoring disease progression in childhood interstitial lung diseases (chILD) is essential. No information for the minimal important difference (MID), which is defined as the smallest change in a parameter that is perceived as important prompting a clinician to change the treatment, is available. We calculated MIDs for vital signs (respiratory rate, peripheral oxygen saturation in room air, Fan severity score) and health-related quality of life (HrQoL) scores.
METHODS: This study used data from the Kids Lung Register, which is a web-based management platform that collects data of rare paediatric lung disorders with a focus on chILD. Data of vital signs and HrQoL scores (Health Status Questionnaire, chILD-specific questionnaire and PedsQL V.4.0) were collected. MIDs were calculated according to distribution-based (one-third SD) and anchor-based methods (using forced expiratory volume in 1 s and forced vital capacity) as anchors.
RESULTS: Baseline data of 774 children were used to calculate the following MIDs: respiratory rate 1.3 (z-score), O2 saturation in room air 3.0%, Fan severity score 0.2-0.4, Health Status Questionnaire 0.4-0.8, chILD-specific questionnaire 4.4%-8.2%, physical health summary score 7.8%-8.9%, psychosocial health summary score 3.4%-6.9% and total score 5.1%-7.4%. Results of the responsiveness analysis generally agreed with the MIDs calculated.
CONCLUSIONS: For the first time, we provide estimates of MIDs for vital signs and HrQoL scores in a large cohort of chILD using different methods.
METHODS: This study used data from the Kids Lung Register, which is a web-based management platform that collects data of rare paediatric lung disorders with a focus on chILD. Data of vital signs and HrQoL scores (Health Status Questionnaire, chILD-specific questionnaire and PedsQL V.4.0) were collected. MIDs were calculated according to distribution-based (one-third SD) and anchor-based methods (using forced expiratory volume in 1 s and forced vital capacity) as anchors.
RESULTS: Baseline data of 774 children were used to calculate the following MIDs: respiratory rate 1.3 (z-score), O2 saturation in room air 3.0%, Fan severity score 0.2-0.4, Health Status Questionnaire 0.4-0.8, chILD-specific questionnaire 4.4%-8.2%, physical health summary score 7.8%-8.9%, psychosocial health summary score 3.4%-6.9% and total score 5.1%-7.4%. Results of the responsiveness analysis generally agreed with the MIDs calculated.
CONCLUSIONS: For the first time, we provide estimates of MIDs for vital signs and HrQoL scores in a large cohort of chILD using different methods.