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Peak expiratory flow in normal medical students in Maiduguri, Borno state, Nigeria. | LitMetric

AI Article Synopsis

  • The study assessed peak expiratory flow (PEF) as a measure of lung function in medical students from the University of Maiduguri, Nigeria, comparing results to established prediction equations.
  • The research involved 255 students and utilized a MicroPeak™ flow meter to collect data, showing significant differences between measured and predicted PEF values from different regions.
  • The findings suggested that certain prediction equations could be applicable in this context, although more extensive studies are needed for validation.

Article Abstract

Background: The assessment of lung function is of considerable importance in the diagnosis of respiratory diseases, normal reference values need to be determined. The peak expiratory flow (PEF) is a simple, reproducible and easily affordable test of lung function which has been used in resource poor countries like Nigeria. A study PEF was carried out in medical students of the University of Maiduguri and the result was compared with various prediction equations calculated in other parts of Nigeria.

Methods: It was a cross-sectional study involving 255 medical students. Data was collected between March and June 2010 using MicroPeak™ peak flow meter (Micromedical MEI 2A2 Kent) as the instrument.

Results: There was a statistically significant difference between the measured PEF and the predicted values based on different formulae derived from the different parts of Nigeria. However, the values in females in this study was consistent with the one obtained by one investigator in the north western part of the country. PEF positively correlated with the measured anthropometric parameters and age.

Conclusion: The result of the study showed that the prediction formulae of Njoku et al and Salisu et al may be used in the assessment of PEF of individuals in this environment; however, further studies with larger sample size may be needed.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3450935PMC

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