Comparison of Lung Function in Healthy Nigerian Children Living in Nigeria and in the United Kingdom

Arigliani, Michele; Lum, Sooky; Zuiani, Chiara; Raywood, Emma; Dogara, Livingstone Gayus; Zubair, Ramatu; Castriotta, Luigi; Sunday, Ashel Dache; Inusa, Baba; Cogo, Paola

doi:10.1164/rccm.202201-0093le

Cited by 1 publication

(2 citation statements)

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“…Similarly, United Kingdom-born Nigerian children had similar FEV 1 with those in Nigeria. 48 Contrastingly, Indian school-age children resident in India had zFEV 1 lower than that of Indian children living in UK, although urban-dwelling India-resident sub-group had similar zFEV 1 with their UK peers while those in rural India had lower zFEV 1 ; further pointing to the negative effect of socioeconomic deprivations. 49 With GLI-global equations, almost a quarter of our sample had zFEV 1 below the LLN potentially raising concerns of overdiagnosis compared to about 10% for GLI-AA also raising concern of under-diagnosis.…”

Section: Fit Of Fev 1 Of Nigerian Children To Gli-2012 Equationsmentioning

confidence: 94%

“…38,56 Akoduet al reported that arm-span slightly correlated with LF more than the height of Nigerian children. 51 Children from poorer homes are more likely to have lower LF compared to those of higher SES, 48 partly due to stunting resulting in lower chest size. However, stunting was not associated with LF in our urbandwelling sample.…”

Section: Fit Of Fev 1 Of Nigerian Children To Gli-2012 Equationsmentioning

confidence: 99%

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TITLE: Reference lung function of Nigerian school-age children measured with electronic peak flow meter: comparison with local and Global-Lung-Initiative equations

Ubuane,

Akinola,

Ajiboye

et al. 2023

Preprint

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Introduction. Spirometric reference equations (REs) assists diagnosing, monitoring and prognosticating respiratory diseases. However, spirometers are scarce in respiratory care in low-resource settings, hampering optimal care. Cheaper, simpler-to-use electronic peak-flow-meters (ePFM ) which measure both peak expiratory flow (PEF) and forced expiratory volume in one-second (FEV 1 ) may serve alternative utility. However, their use requires REsfitted to local populations. We compare ePFM-measured PEF and FEV 1 of Nigerian children with published local/foreign REs, including the Global-Lung-Function-Initiative (GLI) equations.Methods. PEF and FEV 1 of healthy pupils aged 6-11 years in Lagos-Nigeria was cross-sectionally measured with ePFM (Asma-1, Vitalograph, UK). PEF was compared to published local and foreign equations using Bland-and-Altman analysis. Goodness-of-fit of FEV 1 to GLI-equations was defined as mean (SD) predicted z-scores < 0.5 (1.0), 5% z-scores < -1.64 (% lower-limit-of-normal, LLN), 5% > 1.64 (% upper-limit-of-normal, ULN).Results. 766 children [mean (SD) age: 8.9 (1.6) years; 53.1% girls] achieved mean (SD) PEF and FEV 1 of 235.8 (52.0) L/min and 1.40 (0.34) L; higher in boys (p < 0.001), and strongly correlated with height (r=0.73-0.86), lower-limb-length (r=0.67-081), weight (r=0.62-0.76), age (r=0.60-0.66), upper-segmentvolume (r=0.58-0.69), upper-segment-length (r = 0.54-0.61) and chest-circumference (r=0.52-0.66). PEF agreed poorly with local and foreign equations, with wide limits-of-agreement.GLI-African-American equations fitted our FEV 1 [mean (SD; %LLN, %ULN)-girls: -0.17 (1.10; 9.1%, 5.4%), boys: 0.03 (1.11; 7.2%, 7.5%)]; GLI-global and GLI-othersdid not fit. Conclusion:Our FEV 1 fitted GLI-AA, albeit less so for girls. The most appropriate GLI FEV 1 equations for our population require bench-marking with clinical outcomes.

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Section: Fit Of Fev 1 Of Nigerian Children To Gli-2012 Equationsmentioning

confidence: 94%