Background: Daily evaluation of peak expiratory flow rate (PEFR) is quite useful for monitoring and adjusting an asthmatic patient's treatment. Many factors including geography, ethnicity, socio-economic conditions, gender, and anthropometric play a role in lung function differences studies have found. The aim of this study is to present normal PEFR and to establish a PEFR equation for Thai children living in a suburban environment.
Methods: This study includes a cross-section of healthy children aged 6 to 18. It was conducted in Phitsanulok Province in the lower north of Thailand. The children were chosen to participate from five primary and secondary schools over the period from February 2014 to January 2015. The children were instructed on how to use the Wright peak flow meter (Clement Clarke International Ltd.). All of the participants performed PEFR 3 times and the highest value was recorded.
Results: A total of 2,000 students were initially examined; 80 students were excluded from the study. A total of 1,920 healthy children were recruited between the ages of 6 and18 years. Among them, 719 (37.4%) were males and 1,201 (62.6%) were females. The median age was 18 [12-18] years old, mean height, weight, body mass index (BMI) and PEFR were 155.98±14.99 cm, 51.38±16.95 kg, 20.62±4.79 kg/m and 339.31±113.55 L/min, respectively. PEFR has a linear relationship in regards age, weight, height and BMI. For males, age was the strongest factor associated with PEFR (r=0.838, P<0.001). Females had a highly significant correlation between height and PEFR (r=0.532, P<0.001). The regression equations are PEFR = (1.34 × height) + (1.41 × weight) + (16.56 × age) - 137.88 for males (R=0.751, P<0.001) and PEFR = (1.31 × height) + (0.94 × weight) + (7.30 × age) - 55.27 for females (R=0.507, P<0.001).
Conclusions: This research study has provided the normal range of PEFR for Thai children aged from 6 to 18 years in Phitsanulok. The data was obtained using the Wright peak flow meter. Height, weight, and age were the significant determiners of the PEFR for each sex in the regression equation.
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http://dx.doi.org/10.21037/jtd-20-1846 | DOI Listing |
Acta Med Philipp
November 2024
Division of Pediatric Pulmonology, Department of Pediatrics, Philippine General Hospital, University of the Philippines Manila.
Objective: Our study aimed to determine the clinical profile and pulmonary function of pediatric patients with Duchenne Muscular Dystrophy (DMD). We also characterized the stages of progression of the disease and determined their potential association with spirometry variables.
Methods: In this cross-sectional study, we used data obtained from a review of medical records of all pediatric patients (0-18 years old) with DMD seen in a multidisciplinary neuromuscular clinic of a tertiary government hospital from August 2018 until March 2020.
BMJ Open
January 2025
Clinical and Research Center on Acute Lung Injury, Beijing Shijitan Hospital Capital Medical University, Beijing, Beijing, China
Objectives: The purpose of this study was to evaluate the predictive value of the cough peak flow (CPF) for successful extubation in postcraniotomy critically ill patients.
Design: This was a single-centre prospective diagnostic study.
Setting: The study was conducted in three intensive care units (ICUs) of a teaching hospital.
J Indian Prosthodont Soc
January 2025
Department of Dental Materials, Vishnu Dental College, Bhimavaram, Andhra Pradesh, India.
Aim: This study aimed to evaluate the effect of partially edentulous ()PED condition on lung function through spirometry tests and comparison of airflow rates between dentulous and PED subjects.
Settings And Design: The study design was a cross-sectional study conducted in the department of prosthodontics.
Materials And Methods: Twenty-eight dentulous and 28 PED patients with an age range of 25-50 years were included in the study.
Sci Rep
December 2024
Peking University School of Nursing, 38 Xueyuan Road, Haidian District, Beijing, China.
This study examined the effect of obesity on lung ventilation function in middle-aged and older adults using data from the China Health and Retirement Longitudinal Study. Lung function was measured using peak expiratory flow, and obesity was assessed using waist circumference and body mass index (BMI). Logistic regression and the bivariate logit model were applied to analyze the data.
View Article and Find Full Text PDFBackground: Frailty in older adults is linked to increased risks and lower quality of life. Pre-frailty, a condition preceding frailty, is intervenable, but its determinants and assessment are challenging. This study aims to develop and validate an explainable machine learning model for pre-frailty risk assessment among community-dwelling older adults.
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