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Interchanging Spirometric and Peak Flow Meter Readings in Obstructive Airway Diseases a O Oni, G E Erhabor, and P O Oluboyo

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Interchanging Spirometric and Peak Flow Meter Readings in Obstructive Airway Diseases a O Oni, G E Erhabor, and P O Oluboyo Original Article Interchanging spirometric and peak flow meter readings in obstructive airway diseases A O Oni, G E Erhabor, and P O Oluboyo Abstract Introduction In spite of the daily use of peak flow meters at home and Airway obstruction is the reduced radius of the airway. in some hospitals, some schools of thought advocates that It is classified as upper airway and lower airway obstruc- the mini-Wright peak flow (MWPF) meter peak expira- tion. Diseases that cause lower airway obstruction are tory flow (PEF) values are less accurate than spirometric called obstructive lung diseases. These include diseases values. The aim of this study was to find out if there is a like asthma and chronic obstructive airway diseases difference between lung function measurement values (chronic bronchitis and emphysema). There is airway of spirometer and peak flow meter and if this difference resistance, leading to a reduced amount of air passing 1,2 is significant. through the obstructed airway. Airway resistance 1 This study was a case control design involving lung occurs in asthma, chronic bronchitis and emphysema. function assessment. A total of 120 asthma patients and Peak expiratory flow (PEF) meters have been used for their corresponding controls who have the same sociode- years to measure PEF, both for research purposes and in mographic features were selected with simple sampling clinical care in patients with asthma and chronic obstruc- 3-5 methods at the respiratory clinic of the University of Benin tive airway diseases. Teaching Hospital (UBTH), Benin, Nigeria. Subjects were Peak expiratory flow (PEF) rate is the maximum air flow known asthma patients on routine clinic visits. Patients’ during a forced expiration after a maximum inspiration. spirometric and peak flow meter readings were tested It is important to note that peak flow meters measure for significant differences in lung function test using the amount of airflow in the large airways. However, student’s t-test. The readings from both instruments changes in airflow caused by increases in small airway were also correlated using the Pearson correlation coef- tone and resistance will not be detected by peak flow ficient. The mean of the values of lung function tests and meters. Nevertheless, these portable and inexpensive the percentage of predicted values were calculated.The devices, such as the micro-Wright peak flow meter helps limit of agreement was also calculated. to recognise early changes that are signs of worsening 6 The mean of spirometric and peak flow meter readings asthma or chronic obstructive airway diseases. Changes (and their percentage of predicted values) were 330 L/ in PEF due to corresponding change in airways precede min (69.9%) and 332 L min (70%) respectively. This asthma symptoms by hours or days. Forced expiratory 7 difference was not significant at p<0.05.There was a volume in one second (FEV1) correlates with the PEFR. correlation coefficient of 0.99 and a linear regression frac- In 2007, an expert panel of the National Asthma Education tion of 0.98 (98% coefficient of determination) between and Prevention Programme recommended the long-term the readings from both instruments. At a 95% confidence use of peak flow meters for assessing pulmonary func- interval, the limits of agreement were between 0.74 and 4.7. tion in order to detect asthma exacerbations, worsening 8 Our results show that there is no significant difference asthma, and response to treatment. between the spirometric and peak flow meter values. PEFR measurement with a spirometer is considered to be more accurate and reliable than use of mini-Wright peak flow (MWPF) meters in clinical use due to the Dr Osaretin Alexander Oni, Dept of Medicine, University 9 of Benin Teaching Hospital, Benin City, Nigeria/Port wide intrapersonal variability of MWPF meters. The Antonio Hospital, Port Antonio, Jamaica. Prof Gregory prediction equations of many countries like the USA Efosa Erhabor, Dept of Medicine, Obafemi Awolowo estimated peak flows were obtained spirometrically University, Ile Ife, Osun State, Nigeria. without the consideration of portable peak flow meters.9 Prof Patrick Oluwole Oluboyo, University of Ilorin MWPF meters are inexpensive, portable instruments that Teaching Hospital/ Department of Pulmonary Medicine, enable easier ambulatory PEF monitoring. Ambulatory Faculty of Health Sciences, Walter Sisulu University, PEF monitoring in asthmatic patients provides early Umtata, South Africa. Correspondence to: A O Oni, PO 10 Box 10456, Ugbowo District, Opposite UNIBEN, Edo warning of incipient asthma attacks and exacerbations. State, Nigeria. It also alerts the patients, relatives and attending physi- E-mail: [email protected] cians of a worsening airflow obstruction.10 While some Vol 10 No 1 September 2014 African Journal of Respiratory Medicine 15 Original Article researchers have demonstrated no significant advantage PEF as it can identify and evaluate the degree of airflow of spirometric measurement of PEF over MWPF meters,11 limitation. However, there are conflicting data regard- other researchers documented higher PEFR values with ing the efficacy of peak flow rate monitoring by MWPF MWPF meters than with spirometers.12 However, some meters for improving asthma outcome. Our studies have of these researchers did not use the digital spirometer to compared the spirometric PEFR values (as standard) measure PEF in their studies. The aim of this study is to compare MWPF meters with digital spirometric PEFR values and to find out if the instruments are exchange- Characteristics Subjects Controls able in clinical practice. Age (years) 31.2 32.2 Subjects and methods BMI (kg/m2) 23.9 24.2 The clinical setting was the respiratory unit of the De- partment of Medicine, University of Benin Teaching Male 84 84 Hospital (UBTH), Benin City, Nigeria. The study was a case control design that involved a total of 280 asthma Female 124 124 patients and their normal controls with the same so- ciodemographic features; subjects were selected using PEFR L/minute (%) 330 (69.8%+9.6) 433 (91.7+8.5) simple sampling methods. The subjects recruited were known asthma patients on routine clinic visits. FEV (L (%)) 2.28 (67%+10.5) 3.36 (99%+0.98) Exclusion criteria were: 1 • Patients who had severe attacks of asthma and Key: % =Percentage predicted; S = Subjects; C=Controls could not cope with the procedure. • Patients with co-morbid conditions that could impact Table 1 Mean age, BMI, PEFR, and FEV1, and the total negatively on the lung function measurement. number of male and female subjects and controls • Seriously ill patients. • Some patients were excluded because of busy schedules. Mean PEFR Male Female Inclusion criteria were: Instrument (L/min) (% predicted) (% predicted) • Adult subjects 18 years and above. (% predicted) • Subjects who understood the detail of the procedure Spirometer 330+24.6 365+38 285+26.5 and cooperated willingly. (69.8+9.8) (67+5.6) (72+5.2) • Known asthma patients who consented to this study. The best of three spirometric and peak flow meter MWPF meter 332+26 366+39.2 286+25.4 readings were recorded for the subjects and controls. (70%+8.2) (67.2+4.5) (72+6.4) Student’s t-test was used to test if the difference between spirometric and peak flow meter lung function readings r = 0.98 (98%), was significant. The readings from both instruments p>0.05 were also correlated using the Pearson correlation coef- ficient. The mean of the values of lung function tests and Mean difference = 2±1.4; mean + 1.96SD = 4.7; the percentages of predicted of normal were calculated. mean - minus 1.96SD = 0.74. All results are expressed as means. The limits of agree- Table 2 Comparing peak expiratory flow values of ment at 95% interval were also calculated. measured using spirometry and MWPF meters Results Table 1 demonstrates the sociodemographic features of with MWPF meter values. The mean difference between patients and controls. Table 2 compares the subjects PEF these values was 2 ± 1.4L/min. Statistical difference values for spirometer and MWPF meters. The difference between PEFR measured using these instruments was between the lung function values of the spirometer and tested. Testing for statistical difference is clinically rel- peak flow meter for subjects was not significant for evant for measurement volumes between instruments p<0.05. However, the correlation coefficient between if the difference is small. Our results show that the the lung function tests of spirometer and peak flow difference between PEF measured by spirometer and meter was 0.99 (98%). Mean difference = 2±1.4; mean MWPF meter was not significantly different (p>0.05). + 1.96SD = 4.7; mean - minus 1.96SD = 0.74. The values obtained from both instruments correlated with a linear regression fraction of 0.98 as in Table 2. At Discussion a 95% confidence interval, the limits of agreement were In monitoring the progress of obstructive airway disease between 0.74 and 4.7. The work of other researchers also and the effects of treatment, it is important to measure corroborate the findings of our study.11 16 African Journal of Respiratory Medicine Vol 10 No 1 September 2014 Original Article However, some researchers have found no reasonable References 9,13-15 1. Woolcock AJ, Yan K, Salome CM. Effect of therapy on agreement between MWPF meters and spirometers. bronchiahyper responsiveness in the long-term management Various reasons may be responsible for the disagree- of asthma. Clin Allergy 1988; 18: 165–176. ment between the two instruments. Patients are often 2. Cohn L, Elias JA, Chupp GL. Asthma: mechanisms of disease not well instructed on what to do and how it should persistence and progression. Ann Rev Immunol 2004; 22: 789–815. 3. Enright P, McCormack M. Assessing the airways. Chron Respir be done.
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