Assessment of Asthma Control Questionnaire as a Metric for ... · •exhaled nitric oxide (eNO,...
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Assessment of Asthma Control Questionnaire as a Metric for Children’s Traffic Air Pollution Exposures at Two Roadside El Paso Elementary Schools
Amit U. Raysoni, Ph.D., M.P.H., UTRGVSoyoung Jeon, Ph.D., UTEP
Juan Aguilera, M.D., M.P.H., UTEPWen-Whai Li, Ph.D., P.E., UTEP
Session 2: Schools, Childhood Asthma, and Interventions
Transportation, Air Quality, and Health Symposium, Austin, TX
February 19, 2019
Introduction
• Traffic air pollution and its associated pulmonary health effects have garnered a lot of attention in the scientific community especially in sensitive populations such as young elementary school children.
• The border city of El Paso, TX is impacted by high traffic emissions due to busy U.S.-Mexico port of entries, and high vehicular traffic on interstate highways crisscrossing the length and breadth of this arid high elevation city.
• As part of a traffic air pollution and health effects study, continuous monitoring of PM2.5, NO2, and O3 were conducted at two elementary schools adjoining a major interstate highway and asthmatic students were selected for a panel based longitudinal study in fall 2017.
• Various health measurements assessing pulmonary health of the study subjects were administered during the course of the study.
Study Design & Methods• 23 children (ages 6-12 years) days
over 9 weeks in late Fall 2017.
• Assessments included • exhaled nitric oxide (eNO, marker of
airway inflammation), • lung function [forced vital capacity
(FVC) and forced expiratory volume in one second (FEV1)], and
• asthma symptoms and control questionnaires (ACQ)
• Continuous measurements of O3, NO2, and PM2.5 were conducted concurrently outside the two schools (Schools B & CW) and a residential site (Site H) in close proximity to the schools.
Asthma Control Questionnaire (ACQ)
• This study assesses the validity of asthma control questionnaires (ACQ) for understanding children’s exposure to air pollution.
• The Asthma Control Questionnaire (ACQ) is a 7-item questionnaire.
• It is used to measure the adequacy of asthma control both in clinical research studies and in clinical practice.
ACQ
• The ACQ includes items on
• specific symptoms,
• timing of symptoms, (4 questions)
• activity limitation, (1 question)
• use of rescue medications (1 question), and
• lung function (1 question) – FEV1% Predicted.
Significance of ACQ
• As per the international guidelines, in order to achieve good asthma control it is necessary that the treatment should minimize day and night time symptoms, activity limitation, airway narrowing, and rescue bronchodilator use and thus reduce the risk of life-threatening exacerbations and long-term morbidity ( Juniper, 2005).
• It was initially developed for adults (Juniper et al., 1999) but has been subsequently validated for use among children 6-16 years of age (Juniper et al., 2010).
Usage of ACQ in the Context of Air Quality Study
• Very few studies have used these ACQ scores to assess children’s exposure to traffic air pollutants.
• The research work analyzes the questionnaires to understand the role of traffic air pollutants and medicinal usage and its success thereof in controlling asthma in a majority Mexican-American student cohort.
• Usage of ACQ in the context of air pollution studies could help reflect clinically measurable and biologically relevant changes in lung function and asthma symptoms that result from poor air quality and could increase our understanding of how air pollution influences asthma exacerbation.
Asthma Control Questionnaire - Criteria
• Individual question scores on the ACQ are scaled from 0 to 6 based on severity of symptoms.
• Overall score is the mean of the 7 questions.
• Therefore, the minimum overall ACQ score is 0.0 for well-controlled asthma and the maximum score is 6.0 for poorly-controlled asthma.
• The lowest clinically relevant score for the ACQ among asthmatic children has been shown to be 0.53 ± 0.45 (Juniper et al., 2010).
• A score of 1.5 on the ACQ has been identified as the best discriminator between asthma patients that are ‘well-controlled’ and ‘not well-controlled’.
Asthma Control Questionnaire• 1. On average, during the past week, how often were you woken by your asthma during the night?
0 Never
1 Hardly ever
2 A few minutes
3 Several times
4 Many times
5 A great many times
6 Unable to sleep because of asthma
• 2. On average, during the past week, how bad were your asthma symptoms when you woke up in the morning?
0 No symptoms
1 Very mild symptoms
2 Mild symptoms
3 Moderate symptoms
4 Quite severe symptoms
5 Severe symptoms
6 Very severe symptoms
Asthma Control Questionnaire….• 3. In general, during the past week, how limited were you in your activities because
of your asthma?• 0 Not limited at all • 1 Very slightly limited • 2 Slightly limited • 3 Moderately limited • 4 Very limited • 5 Extremely limited • 6 Totally limited
• 4. In general, during the past week, how much shortness of breath did you experience because of you asthma?
0 None
• 1 A very little • 2 A little • 3 A moderate amount • 4 Quite a lot • 5 A great deal • 6 A very great deal
Asthma Control Questionnaires…• 5. In general, during the past week, how much of the time did you wheeze?
• 0 Not at all
• 1 Hardly any of the time
• 2 A little of the time
• 3 A moderate amount of the time
• 4 A lot of the time
• 5 Most of the time
• 6 All the time
• 6. On average, during the past week, how many puffs of short-acting bronchodilator (eg. Ventolin) have you used each day?• 0 None
• 1 1±2 puffs most days
• 2 3±4 puffs most days
• 3 5±8 puffs most days
• 4 9±12 puffs most days
• 5 13±16 puffs most days
• 6 More than 16 puffs most days
• 7. FEV1 %
• 0 >95% predicted
• 1 95±90%
• 2 89±80%
• 3 79±70%
• 4 69±60%
• 5 59±50%
• 6 <50% predicted
Study Subject Characteristics
Results from the 2017 CAR TEEH Study
School CW
• 199 ACQ completed
• 16-17 repeated measures per subject
• Mean ACQ score for the study: 0.52 ± 0.51
• Minimum: 0.0
• Maximum: 2.71
School FB
• 165 ACQ completed
• 13-16 repeated measures per subject
• Mean ACQ score for the study: 1.00 ± 0.64
• Minimum: 0.0
• Maximum: 3.0
Average ACQ Score Box plots
Data from School CW • 12 subjects in the study cohort
• 5 Females, 7 Males
0
0.2
0.4
0.6
0.8
1
1.2
CW-01 CW-02 CW-03 CW-08 CW-11 CW-04 CW-05 CW-06 CW-07 CW-09 CW-10 CW-12
Me
an A
CQ
Sco
res
Subject ID
Males Females
13 ppb,86.14%
7 ppb,99.7%
7 ppb,63%
46 ppb,77%
8 ppb,106.9%
30 ppb,69%
20 ppb,70.7%
37 ppb,96.4%
22 ppb,90.4%
43 ppb,100%
41 ppb,88.7%
5 ppb,103.9%
Data from School FB • 11 subjects in the study cohort
• 6 Females, 5 Males
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
FB-1 FB-3 FB-5 FB-8 FB-9 FB-10 FB-2 FB-4 FB-6 FB-7 FB-11
Mea
n A
CQ
Sco
res
Subject ID
Bliss Elementary School
7 ppb, 80.1%
78 ppb, 89.4%
33 ppb, 79.9%
7 ppb 45 ppb, 76.6%
64 ppb, 96.9% 13 ppb,
76.1%
25 ppb
7 ppb, 100.4%
75 ppb, 87.6%
30 ppb, 82.8%
Females
Males
Overall Associations between ACQ and (24-/48-/72-/96-hr) Pollutant Metrics
Linear mixed effect models (nested model) with school- and subject-specific random intercept and AR(1) correlation including covariates
Pollutant SamplingPeriod
Site IQR Change in ACQ/IQR
p value
PM2.5 96 hr CW 4.15 -0.11 0.0681
PM10 24 hr Overall 30.82 0.09 0.0576
PM10 24 hr FB 20.65 0.08 0.0401
PM10 96 hr CW 10.42 -0.09 0.0392
O3 48 hr Overall 8.06 -0.10 0.0552
O3 48 hr FB 6.56 -0.11 0.0647
AQR 96 hr CW 19.45 -0.12 0.0585
Overall and Subject-specific Associations between ACQ and 24hr Averaged PM2.5**Linear mixed effect models (nested model) with school- and subject-specific random intercept and AR(1) correlation. Including covariates
Pollutant (IQR) Subject-specific Factor
Chg in ACQ per IQR increase in pollutant 95%CI.lwr 95%CI.upr p.value
PM2.5.24hr (6.69) 0.044 -0.014 0.103 0.136
Gender Female 0.001 -0.083 0.084 0.990
Male 0.085 0.005 0.166 0.038Father with Asthma Yes -0.037 -0.154 0.080 0.533
No 0.071 0.005 0.138 0.037Father with Hay Fever Yes -0.002 -0.093 0.090 0.974
No 0.074 0.000 0.149 0.052Siblings with Hay Fever Yes -0.029 -0.112 0.053 0.484
No 0.116 0.036 0.196 0.005
Overall and Subject-specific Associations between ACQ and 24hr Averaged PM10**Linear mixed effect models (nested model) with school- and subject-specific random intercept and AR(1) correlation. Including covariates
Pollutant (IQR) Subject-specific Factor
Chg in ACQ per IQR increase in pollutant 95%CI.lwr 95%CI.upr p.value
PM10.24hr (30.82) 0.091 -0.003 0.185 0.058
Gender Female 0.003 -0.127 0.133 0.960
Male 0.173 0.049 0.297 0.007Father with Asthma Yes -0.057 -0.233 0.120 0.530
No 0.141 0.035 0.247 0.009Father with Hay Fever Yes 0.015 -0.117 0.146 0.828
No 0.157 0.033 0.281 0.013Siblings with Hay Fever Yes -0.030 -0.153 0.093 0.633
No 0.230 0.100 0.359 0.001
Overall and Subject-specific Associations between ACQ and 24hr Averaged NO2**Linear mixed effect models (nested model) with school- and subject-specific random intercept and AR(1) correlation. Including covariates
Pollutant (IQR) Subject-specific Factor
Chg in ACQ per IQR increase in pollutant 95%CI.lwr 95%CI.upr p.value
NO2.24hr (8.14) 0.033 -0.058 0.125 0.476
Gender Female -0.043 -0.173 0.086 0.512
Male 0.103 -0.018 0.223 0.098Father with Asthma Yes 0.060 -0.112 0.232 0.495
No 0.024 -0.080 0.128 0.650Father with Hay Fever Yes 0.074 -0.045 0.193 0.224
No -0.020 -0.151 0.110 0.760Siblings with Hay Fever Yes 0.027 -0.090 0.143 0.653
No 0.044 -0.093 0.181 0.529
Overall and Subject-specific Associations between ACQ and 24hr Averaged O3*
Pollutant (IQR) Subject-specific Factor
Chg in ACQ per IQR increase in pollutant 95%CI.lwr 95%CI.upr p.value
O3.24hr (13.46) -0.076 -0.209 0.057 0.263
Gender Female -0.073 -0.241 0.094 0.392
Male -0.078 -0.238 0.082 0.337Father with Asthma Yes -0.127 -0.334 0.080 0.231
No -0.057 -0.201 0.087 0.439Father with Hay Fever Yes -0.090 -0.249 0.068 0.266
No -0.058 -0.227 0.112 0.504Siblings with Hay Fever Yes -0.122 -0.276 0.032 0.123
No -0.008 -0.183 0.167 0.927
Overall and Subject-specific Associations between ACQ and 24hr Averaged AQG**Linear mixed effect models (nested model) with school- and subject-specific random intercept and AR(1) correlation. Including covariates
Pollutant (IQR) Subject-specific Factor
Chg in ACQ per IQR increase in pollutant 95%CI.lwr 95%CI.upr p.value
AQG.24hr (28.36) 0.037 -0.038 0.111 0.333
Gender Female -0.004 -0.108 0.100 0.939
Male 0.075 -0.026 0.177 0.147Father with Asthma Yes -0.073 -0.214 0.067 0.308
No 0.076 -0.009 0.161 0.082Father with Hay Fever Yes -0.027 -0.141 0.086 0.636
No 0.081 -0.014 0.176 0.097Siblings with Hay Fever Yes -0.077 -0.179 0.024 0.136
No 0.151 0.050 0.252 0.004
Conclusions
• Air pollution panel studies mirror a brief snapshot in space and time of a potential exposure response relationship.
• 24 hr exposure levels more robust to elicit a statistically detectable response in ACQ.
• ACQ scores are also dependent on the person answering the questions in terms of their understanding of the questions and personal perception of asthma symptom severity.
• Our current findings strongly warrant additional studies with larger sample sizes that might be able to detect significant changes in ACQ scores based on the various pollutants and their levels.
Thank You