Calculating the statistical limits of normal and Z-scores for pulmonary function tests

Neder, J. Alberto; Berton, Danilo Cortozi; O’Donnell, Denis E.

doi:10.36416/1806-3756/e20220182

Cited by 1 publication

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“…60 Prediction PEF and FEV1 equations for Nigerian school-age children Prediction equations like ours can be used to calculate the LLN, predicted percentile and z-score values. 61 Although equations developed with sophisticated statistical tools like the GAMLSS have more predictive accuracy than linear regression equations, the difference in their predictive accuracy may sometimes be of negligible clinical consequence. 62 Moreover, the association of LF with height in the school-age group is largely linear, implying that a linear regression equation may be suitable for our sample.…”

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

confidence: 99%

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: 99%