Literature DB >> 34616149

The Effects of Inhaled Airway Directed Pharmacotherapy on Decline in Lung Function Parameters Among Indigenous Australian Adults With and Without Underlying Airway Disease.

Subash S Heraganahally1,2,3, Tarun R Ponneri2, Timothy P Howarth3,4, Helmi Ben Saad5.   

Abstract

BACKGROUND: The trajectory of lung function decline among Indigenous patients with or without underlying chronic airway disease (COPD and concomitant bronchiectasis) and with use of inhaled pharmacotherapy, including inhaled corticosteroids (ICS), has not been reported in the past.
METHODS: Adult Indigenous Australian patients identified to have undergone at least two or more lung function tests (LFTs) between 2012 and 2020 were assessed for changes in the lung function parameters (LFPs) between the first and last recorded LFTs.
RESULTS: Of the total 1350 patients identified to have undergone LFTs, 965 were assessed to fulfil session quality, 115 (n=58 females) were eligible to be included with two or more LFTs. Among the 115 patients, 49% showed radiological evidence of airway diseases, and 77% were on airway directed inhaled pharmacotherapy. Median time between LFTs was 1.5 years (IQR 0.86,5.85), with no significant differences in LFPs noted between first and last LFT. Overall rate of change (mL/year) showed considerable variation for FVC (median -37.55 mL/year [IQR -159.88,92.67]) and FEV1 (-18.74 mL/year [-102.49,71.44]) with minimal change in FEV1/FVC (0.00 ratio/year [-0.03,0.01]). When stratified by inhaled pharmacotherapy group, however, patients using ICS showed significantly greater rate of FEV1 decline (-48.64 mL/year [-110.18,62.5]) compared to those using pharmacotherapy with no ICS (15.46 mL/year [-73.5,74.62]) and those using no pharmacotherapy (-5.76 mL/year [-63.19,67.34]) (p=0.022). Additionally, a greater proportion of these patients reached the threshold for excessive FEV1 decline (64%) compared to those using pharmacotherapy without ICS (44%) and those using no pharmacotherapy (52%).
CONCLUSION: Decline in LFPs occurs commonly among adult Indigenous population, especially, excessive so among those using inhaled pharmacotherapy containing ICS.
© 2021 Heraganahally et al.

Entities:  

Keywords:  Aboriginal; COPD; ICS; LFT; bronchiectasis; indigenous; inhaled corticosteroids; lung function test

Mesh:

Substances:

Year:  2021        PMID: 34616149      PMCID: PMC8487848          DOI: 10.2147/COPD.S328137

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Plain Language Summary

Indigenous Australians are noted to have higher prevalence of chronic respiratory disorders giving rise to higher morbidity and mortality. Airway directed inhaled pharmacotherapy, including inhaled corticosteroids (ICS) are widely utilised in the management of chronic airway disease. The efficacy of airway directed inhaled pharmacotherapy in reducing the rate of decline in lung function parameters (LFPs) has been well documented in various other ethnic non-Indigenous population, with varying outcomes. To date, there is no published literature evidence documenting the effects of airway directed pharmacotherapy on LFPs amongst an Indigenous population. This study examined the effects of inhaled pharmacotherapy on the longitudinal trends in LFPs among an adult Indigenous Australian cohort who were identified to have undergone multiple lung function tests (LFTs) with and without radiological evidence of chronic airway disease. Although, the results of the study showed that there was an overall decline in LFPs, there was no significant differences between first and subsequent LFPs over a 1.5-year period with or without radiological evidence of chronic airway disease nor with use of any type or combination of inhaled airway directed pharmacotherapy. However, excessive yearly decline in the FEV1 was noted to be substantially higher among patients using ICS containing pharmacotherapy. Hence, extreme caution may have to be exercised in using ICS in this Indigenous population until further large-scale studies are available.

Introduction

Respiratory disorders, including asthma, chronic obstructive pulmonary disease (COPD), bronchitis and bronchiectasis to name a few, are one of the leading causes of morbidity and mortality among Aboriginal and Torres Straits Islander populations of Australia (ATSI;1 henceforth respectfully referred to as Indigenous Australians or Indigenous people). The rates of asthma and COPD are reported to be 1.6 and 2.5 times higher, respectively among Indigenous Australians in comparison to their non-Indigenous counterparts.2–4 In the Northern territory (NT) of Australia, approximately 30% of the population self-identify as Indigenous Australians, the highest proportion compared to all other Australian states and territories.5,6 Chronic airway diseases, such as COPD and bronchiectasis are noted to be highly prevalent in the NT Indigenous population.7–11 Moreover, recently published data has shown that co-occurrence of COPD and bronchiectasis along with poor lung function parameters (LFPs) are highly prevalent among Indigenous people living in the Top end health service (TEHS) region of the NT of Australia.12–16 LFTs17 play an integral role in the diagnosis, management and monitoring of several respiratory conditions.18,19 Though natural decline in LFPs with aging is well recognised,20–22 there is evidence in the literature to suggest that decline in LFPs could be accelerated with smoking, and in the presence of pre-existing chronic respiratory conditions, in particular asthma, COPD and bronchiectasis.23–28 Although, airway directed inhaled pharmacotherapy, such as short-acting bronchodilator (SABA), short-acting muscarinic antagonists (SAMA), long-acting β-agonists (LABA), long-acting muscarinic antagonists (LAMA), and ICSs,29,30 are widely utilised and observed to be beneficial in the overall management of airway diseases, their efficacy on reducing the rate of decline of LFPs are varied.31–34 Several studies over the years have investigated the efficacy of airway directed therapy on long-term outcomes and some studies have utilised LFPs as a surrogate marker to assess if inhaled pharmacotherapy provide any additional benefits besides symptom control and exacerbation frequency.32–36 While there is evidence in the literature on longitudinal trends for LFPs and outcomes associated with airway directed pharmacotherapy among several ethnic populations, there is no current evidence on the longitudinal trends of LFPs among adult Indigenous Australians. This is despite overwhelming evidence in the literature documenting a higher burden of respiratory disease among the adult Indigenous Australian population.4,7–12 Furthermore, LFPs are noted to be significantly reduced among Indigenous Australians in comparison to non-Indigenous Australians.13–16 Thus, considering these aforementioned factors together (reduced LFPs, high burden of chronic respiratory disorders along with potential higher use of airway directed pharmacotherapy), there appears to be a critical need to investigate LFPs trajectory with and without radiological evidence of chronic airway diseases and the effects of inhaled pharmacotherapy on LFPs’ among the adult Indigenous Australian population. Therefore, the aim of this study was to assess the longitudinal trends in LFPs among an adult Indigenous Australian cohort who had undergone multiple LFTs in the TEHS region of the NT of Australia.

Methods

Setting

This study was conducted at the Respiratory and Sleep service based at the Royal Darwin hospital (RDH)/Darwin private hospital (DPH) in the TEHS region of the NT of Australia. The adult respiratory and sleep service based at RDH/DPH provides care for urban Darwin region as well as providing specialist outreach services8 to an average of 20 remote Indigenous communities each year at a frequency of one to three times per year, where 81% of NT Indigenous people reside in remote and regional communities.5,6 The respiratory service in addition to providing specialist consultation for patients with respiratory and sleep disorders, also facilitates conducting LFTs for both urban and remote Indigenous community patients. This study is a part of a larger project assessing factors influencing and implications of chest radiological findings and LFPs in the adult Indigenous Australians residing in the Top End NT of Australia.14 The project was approved by the Human Research Ethics Committee of the NT, TEHS and Menzies School of Health Research (Reference no: HREC 2019–3445). This study was conducted and reported according to strengthening reporting of health research involving Indigenous peoples,37 including consultation with Indigenous Australian representatives. Individual consent from the study participants was not obtained, as the study was retrospective in nature and no active interventions were investigated during this study. The lead investigator involved in this study is the usual specialist physician for the patients included in this study and have access to patients’ medical records, chest radiology and spirometry reports as a part of their usual medical care. Hence, separate patients’ consent to access their medical records or spirometry or radiology reports was not required and was approved by local ethics committee. The study was also conducted in accordance with the Declaration of Helsinki.

Study Participants and Inclusion Criteria

The study participants included were Indigenous Australian patients who had undergone at least two or more LFTs’ between 2012 and 2020. Patients were referred for LFTs by primary health practitioners, respiratory specialist and other specialist physicians as a part of routine clinical care. If the patients had undergone multiple LFTs during the study period, the first and the last most acceptable and reproducible LFTs were included.

Lung Function Testing and Rate of Decline in LFPs

All LFTs were performed according to the American thoracic and the European respiratory societies (ATS/ERS) guidelines/recommendations, including calibration of equipment and quality assurance.38 More details are available from previous reports from our centre.13,14 The LFTs were performed via a portable single-breath diffusing capacity device “EasyOne Pro®, ndd Medical Technologies”.39 All volume-time and flow-volume graphs were individually assessed for acceptability for session quality. Only LFTs graded as acceptable for session quality were included in this study. The following LFPs were collected: Forced expiratory volume in one second (FEV1, L), Forced vital capacity (FVC, L), and FEV1/FVC (absolute value). In our centre and faced with the lack of specific spirometric norms for the Australian Indigenous population, the LFPs predicted values were calculated using the National health and nutrition examination survey (NHANES-III) Caucasian reference set’s (“other ethnicity”).40 All patients undergoing elective spirometry testing were instructed to refrain from smoking for at least two to four hours prior to spirometry testing and to avoid using airway directed inhaled pharmacotherapy during the preceding 6–12 hours of spirometry testing. According to the global initiative for chronic obstructive lung disease criteria used in earlier burden of obstructive lung disease studies, bronchodilator responsiveness (BDR) for spirometry parameters were assessed 15–20 minutes after inhalation of 400 µg of salbutamol via a spacer.41 The presence of a clinically significant BDR was determined if there was a post-bronchodilator (BD) increase in FEV1 and/or FVC of ≥ 12% and ≥ 200 mL from the pre-BD FEV1 and/or FVC values.42 Rate of decline in LFPs was calculated as “((LFP value changes/days to subsequent LFT) × 365.25)” to give a value of mL/year. Threshold for excessive decline of FEV1 was calculated using the following method recommended by the ATS:43 (baseline predicted FEV1 – current predicted FEV1) + (0.15 × baseline absolute FEV1). The threshold was considered reached if absolute difference > calculated difference.

Clinical Data Collection

As per standard protocol, patients’ age (on the date of testing), sex, height, weight and body mass index (BMI, kg/m2) were recorded. Smoking history was also recorded. Chest radiology, including Chest X-ray and chest computed tomography (CT) reports when available were assessed for the presence and type of underlying airway disease, in particular radiological evidence for the presence of COPD and for presence of bronchiectasis.

Inhaled Pharmacotherapy Data

All available electronic medical records were searched to document the details of any type or combination of airway directed inhaled pharmacotherapy, more specifically – SABA; SAMA; LABA; LAMA; and ICS in-between the first and last recorded LFTs. The inhaled pharmacotherapy was initiated as per the discretion of treating physician, including remote community health primary health care physicians.

Statistical Analysis

Continuous parameters were tested for normality with the Shapiro Wilks distribution test. Age, height and all LFPs were found to approximate normal distribution; however, weight, BMI, and rate of change in LFPs from first to last LFTs deviated to a significant extent, and thus were treated as non-parametric. Non-parametric parameters were presented as medians (interquartile ranges), normally distributed parameters as means (95% confidence intervals [CIs]), and categorical parameters as numbers (%). Clinical characteristics were compared between first and last recorded LFTs with proportions z-tests for categorical parameters, Students t-test for parameters approximating normal distribution and equality of medians test for non-parametric parameters. LFPs absolute and predicted values were tested between first and last LFTs and by presence of evidence for airway disease using two-sided Students t-tests while the differences by level of pharmacotherapy reported were tested via ANOVA. Rate of change was compared between participants with or without evidence of airway disease via Wilcoxon rank-sum test, and by level of pharmacotherapy reported via quantile regression. All data were analysed in STATA IC 15 (StataCorp, Texas) and alpha was set to 0.05 throughout.

Results

Study Participants

A total of 1350 Indigenous patients were identified to have undergone LFTs between 2012 and 2020, of them 965 (71.4%) were assessed to fulfil the ATS/ERS criteria for LFTs session quality, and 115 patients (50% female) had at least two LFTs, with 32 (27%) having three or more LFTs. Therefore, 115 patients who were identified to have undergone two or more LFTs were eligible to be included in this study for analysis (Figure 1).
Figure 1

Study flow chart.

Study flow chart.

LFTs and Demographic Data

Mean age of the study patients at the first LFT was 50.4 years (95% CI 48.29, 52.45) with a median time between first and last recorded LFT of 1.52 years (IQR 0.86, 5.85). The majority (90%, n=103) of patients had a history of smoking and were typically overweight or obese (62%), with minimal fluctuation in either weight or height between the first and last LFTs (Table 1). Chest radiology was available in 112 (97%) patients [Chest CT n=74 (64%), Chest X-ray n=112 (97%)] and demonstrated presence of COPD and bronchiectasis in 56 (48%) of the study patients. Pharmacotherapy data was available for 113 (98%) patients, therefore further analysis pertaining to pharmacotherapy groupings was conducted with a denominator of 113.
Table 1

Clinical Characteristics of Patients with Multiple Lung Function Tests (LFTs) Recorded (n = 115)

Clinical ParametersFirst LFTLast LFTp-value
Age (years)a50.4 (48.3, 52.5)52.2 (50.1, 54.3)0.212
Anthropometric data and corpulence status
Height (m)a1.67 (1.66, 1.69)1.67 (1.65, 1.69)0.912
Weight (kg)b72 (60, 92)74 (60, 93)0.937
Body mass index (BMI, kg/m2)b26.3 (20.8, 33)26.6 (21.2, 32.4)0.894
Underweight (BMI < 18.5 kg/m2)c13 (11)15 (13)0.687
Normal weight (BMI:18.5–24.9 kg/m2)c37 (32)34 (30)0.669
Overweight (BMI: 25.0–29.9 kg/m2)c27 (23)25 (22)0.753
Obese (BMI ≥ 30 kg/m2)c38 (33)41 (36)0.677
Smoking status
Never smokerc12 (10%)--
Former smokerc41 (36%)--
Current smokerc62 (54%)--
Radiology Findings^
No abnormalityc59 (51%)--
Any abnormality56 (49%)--
Chronic obstructive pulmonary disease (COPD)c31 (28%)--
Bronchiectasisc12 (10%)--
Combined COPD + Bronchiectasisc13 (12%)--
Airway directed inhaled pharmacotherapy
Any inhaled pharmacotherapy*c77 (67)90 (78)0.055
Short acting β2 receptor agonistc70 (61)82 (72)0.077
Short acting muscarinic antagonistc5 (4)9 (8)0.255
Long acting β2 receptor agonistc54 (47)64 (56)0.210
Long acting muscarinic antagonistc37 (33)43 (38)0.405
Inhaled corticosteroid55 (48)65 (57)0.187
Other airway directed therapy
Theophyllinec3 (3)8 (7)0.119
Airway clearance therapyc8 (7)9 (8)0.846
Home oxygenc14 (13)15 (14)0.884

Notes: Data were aMean (95% confidence interval), bMedian (interquartile range), cNumber (%). P-values were derived from equality of medians test for continuous non-parametric parameters, 2-tailed Students t-test for normally distributed parameters, or 2-tailed proportions z-test for categorical parameters. *Excluding airway clearance, home oxygen and theophylline. Two patients did not have pharmacotherapy data available, therefore in total for this section n=113. ^Includes all radiology, not just those conducted prior to the first LFT.

Clinical Characteristics of Patients with Multiple Lung Function Tests (LFTs) Recorded (n = 115) Notes: Data were aMean (95% confidence interval), bMedian (interquartile range), cNumber (%). P-values were derived from equality of medians test for continuous non-parametric parameters, 2-tailed Students t-test for normally distributed parameters, or 2-tailed proportions z-test for categorical parameters. *Excluding airway clearance, home oxygen and theophylline. Two patients did not have pharmacotherapy data available, therefore in total for this section n=113. ^Includes all radiology, not just those conducted prior to the first LFT.

Lung Function Trends with or without Radiological Evidence for Airway Disease and Inhaled Pharmacotherapy

Overall, patients showed an absolute change from first to final LFT in pre-BD values of: FVC 40.91 mL (95% CI −28.31, 110.12), FEV1 50.76 mL (95% CI −3.16, 104.68), FEV1/FVC 0.02 (95% CI 0, 0.03) (Table 2). There were no statistically significant differences noted between LFPs for first or final LFT. When stratified by underlying radiological evidence for chronic airway disease, significant differences in absolute and predicted values of FVC, FEV1 and FEV1/FVC were noted (p<0.05, [lower values with chronic airway disease]) though no significant differences in LFPs were noted between first and last LFT for either with or without radiological evidence of airway disease (). Further, when stratified by use of pharmacotherapy (including ICS with or without LABA or LAMA combination) significant differences in absolute and predicted values of FVC, FEV1 and FEV1/FVC were noted (p<0.05, data not shown (lowest values for participants in the ICS group) though no significant differences in LFPs were noted between first and last LFT for any type or combination of inhaled pharmacotherapy use ().
Table 2

Lung Function Parameters (LFPs) at First and Final Lung Function Test (LFT) (n = 115)

LFPsFirst LFTFinal LFTp-value
Forced vital capacity (FVC)
LLN (L)3.08 (2.95, 3.21)3.04 (2.92, 3.16)0.673
Pre-BD (L)2.32 (2.18, 2.46)2.28 (2.15, 2.42)0.674
Pre-BD (%)60.82 (57.68, 63.96)60.62 (57.51, 63.73)0.926
Post-BD (L)2.41 (2.28, 2.55)2.39 (2.26, 2.52)0.799
Post-BD (%)63.35 (60.29, 66.4)63.35 (60.34, 66.36)0.999
BDR (%)5.32 (3.5, 7.14)6.62 (3.42, 9.81)0.486
Forced expiratory volume in one second (FEV1)
LLN (L)2.4 (2.3, 2.49)2.36 (2.26, 2.45)0.583
Pre-BD (L)1.61 (1.49, 1.74)1.56 (1.43, 1.69)0.581
Pre-BD (%)53.19 (49.36, 57.03)52.14 (48.18, 56.1)0.706
Post-BD (L)1.71 (1.58, 1.84)1.66 (1.53, 1.79)0.591
Post-BD (%)56.42 (52.51, 60.32)55.41 (51.51, 59.3)0.718
BDR (%)7.29 (5.4, 9.17)8.09 (5.96, 10.21)0.577
FEV1/FVC
LLN (AV)0.7 (0.69, 0.7)0.69 (0.69, 0.7)0.125
Pre-BD (AV)0.68 (0.66, 0.71)0.67 (0.64, 0.69)0.351
Pre-BD (%)85.61 (82.25, 88.97)83.57 (80.21, 86.94)0.395
Post-BD (AV)0.7 (0.67, 0.73)0.68 (0.65, 0.7)0.314
Post-BD (%)87.32 (83.79, 90.85)85.15 (81.73, 88.57)0.381

Notes: Data were mean (95% confidence interval). P-values were obtained via 2-tailed Students t-test.

Abbreviations: AV, absolute value; BD, bronchodilator; BDR, bronchodilator responsiveness; LLN, lower limit of normal.

Lung Function Parameters (LFPs) at First and Final Lung Function Test (LFT) (n = 115) Notes: Data were mean (95% confidence interval). P-values were obtained via 2-tailed Students t-test. Abbreviations: AV, absolute value; BD, bronchodilator; BDR, bronchodilator responsiveness; LLN, lower limit of normal.

Yearly Decline in LFPs in Relation to Radiology, Smoking and Inhaled Pharmacotherapy Use

The overall median decline rate for FEV1 was −18.74 mL/year (IQR −102.49, 71.44), with no significant difference noted between patients with/without evidence of airway disease (Table 3). The proportion of patients who exhibited significant excessive decline in FEV1,43 was observed to be 57% which varied only slightly between those with or without evidence of airway disease. A subgroup analysis was conducted to determine if smoking status (never, former, current) influenced the rate of decline in LFPs. No significant differences were noted in decline rate for any LFPs between the smoking status categories (Table 4).
Table 3

Rate of Change in Lung Function Parameters (LFPs) Values (Ml/Year or %/Year for Predicted Values) Stratified by Radiological Evidence for Chronic Airway Disease

LFPsTotal (n=115)Without Radiological Evidence of Airway Disease (n=59)With Radiological Evidence of Airway Disease (n=56)p-value
Forced vital capacity (FVC)
Pre-BD (L)−37.55 (−159.88, 92.67)−37.64 (−92.27, 123.63)−36.98 (−219.7, 62.68)0.356
Pre-BD (%)−0.53 (−4.88, 4.55)−0.6 (−4.19, 5)−0.48 (−5.23, 3.18)0.549
Post-BD (L)−21.42 (−108.68, 80.7)−18.55 (−95.51, 90.84)−23.69 (−132.26, 74.05)0.650
Post-BD (%)0.29 (−3.27, 4.23)0.72 (−1.92, 4.17)0 (−4.86, 5.14)0.640
Forced expiratory volume in one second (FEV1)
Pre-BD (L)−18.74 (−102.49, 71.44)−12.72 (−100.94, 77.41)−19.67 (−112.79, 41.27)0.464
Pre-BD (%)−0.6 (−3.49, 4.13)−0.6 (−3.49, 4.17)−0.7 (−3.44, 3.63)0.511
Post-BD (L)−22.36 (−123.65, 61.66)−37.95 (−126.97, 80.65)−21.29 (−110.78, 60.91)0.724
Post-BD (%)−0.52 (−3.95, 4)−0.61 (−3.85, 4.17)−0.21 (−4.22, 3.9)0.967
Excessive FEV1 (pre-BD) decline*65 (57)31 (53)34 (61)0.377
FEV1/FVC
Pre-BD (AV)0.00 (−0.03, 0.01)0.00 (−0.03, 0.01)0.00 (−0.03, 0.02)0.867
Pre-BD (%)0.00 (−4.21, 1.83)0.00 (−2.87, 1.94)−0.41 (−4.68, 1.71)0.518
Post-BD (AV)−0.01 (−0.03, 0.01)−0.01 (−0.02, 0.01)−0.01 (−0.03, 0.02)0.840
Post-BD (%)−0.46 (−3.77, 1.81)−0.46 (−3, 1.63)−0.43 (−4.66, 1.88)0.887

Notes: Data were median (IQR). P-values were obtained via Wilcoxon rank-sum test between patients with/without radiological evidence of airway disease for continuous parameters and chi-squared test for categorical parameters. *(Baseline predicted FEV1 – current predicted FEV1) + (0.15 x Baseline absolute FEV1).

Abbreviations: AV, absolute value; BD, bronchodilator.

Table 4

Rate of Change in Lung Function Parameters Values (Ml/Year for Predicted Values) Between Levels of Smoking Recorded (Note Smoking Status Adjudged as the Highest Smoking Level Reported Through the Study Period)

LFPsNon-Smoker n=12Former Smoker n=41Current Smoker n=62p-value
Forced vital capacity (FVC)
Pre-BD (mL)−50.14 (−245.93, 50.03)−44.83 (−225.7, 47.3)−21.46 (−126.45, 170.76)0.553
Pre-BD (%)−1.44 (−4.87, 1.89)−1.81 (−5.19, 1.62)1.51 (−3.17, 7.76)0.114
Post-BD (mL)9.24 (−214.62, 33.33)−25.61 (−103.14, 60.33)−11.3 (−108.7, 120.12)0.739
Post-BD (%)−0.15 (−2.73, 2.01)0 (−4.37, 2.06)1.27 (−2.61, 5.96)0.263
Forced expiratory volume in one second (FEV1)
Pre-BD (mL)−50.06 (−277.39, 26.62)−12.72 (−98.1, 71.44)−17.26 (−101.05, 78.55)0.837
Pre-BD (%)−1.77 (−7.76, 1.52)−1.65 (−4.24, 2.63)1.2 (−2.36, 4.4)0.196
Post-BD (mL)−34.52 (−173.94, 21.69)−43.62 (−126.97, 52.31)−12.86 (−99.48, 191.6)0.704
Post-BD (%)−0.87 (−5.2, 3.96)−1.83 (−4.84, 2.72)0.92 (−2.92, 6.25)0.178
Excessive FEV1 (pre-BD) decline*8 (67)25 (61)32 (52)0.486
FEV1/FVC
Pre-BD (AV)0 (−0.03, 0.01)0 (−0.02, 0.01)−0.01 (−0.03, 0.01)0.921
Pre-BD (%)−1.22 (−4.84, 0.18)0 (−2.47, 2.02)−0.38 (−4.21, 1.83)0.828
Post-BD (AV)−0.01 (−0.02, 0.03)−0.01 (−0.02, 0.01)−0.01 (−0.03, 0.02)0.796
Post-BD (%)−0.95 (−3.26, 0.18)−0.32 (−3, 1.81)−0.49 (−4.23, 2.52)0.981

Notes: Data were median (IQR). P-values were obtained via univariate quantile regression for continuous parameters and chi-squared test for categorical parameters. *(Baseline predicted FEV1 – current predicted FEV1) + (0.15 × baseline absolute FEV1).

Abbreviations: AV, absolute value; BD, bronchodilator; LFPs, lung function parameters.

Rate of Change in Lung Function Parameters (LFPs) Values (Ml/Year or %/Year for Predicted Values) Stratified by Radiological Evidence for Chronic Airway Disease Notes: Data were median (IQR). P-values were obtained via Wilcoxon rank-sum test between patients with/without radiological evidence of airway disease for continuous parameters and chi-squared test for categorical parameters. *(Baseline predicted FEV1 – current predicted FEV1) + (0.15 x Baseline absolute FEV1). Abbreviations: AV, absolute value; BD, bronchodilator. Rate of Change in Lung Function Parameters Values (Ml/Year for Predicted Values) Between Levels of Smoking Recorded (Note Smoking Status Adjudged as the Highest Smoking Level Reported Through the Study Period) Notes: Data were median (IQR). P-values were obtained via univariate quantile regression for continuous parameters and chi-squared test for categorical parameters. *(Baseline predicted FEV1 – current predicted FEV1) + (0.15 × baseline absolute FEV1). Abbreviations: AV, absolute value; BD, bronchodilator; LFPs, lung function parameters. Significant variation in rate of decline was noted between differing inhaled pharmacotherapy usage (Table 5). Patients who reported pharmacotherapy use including ICS appeared to show greater decline for FVC and FEV1 values, more significantly for FEV1 pre-BD absolute and predicted values. Following adjustment for sex and evidence of airway disease, the differences noted were attenuated to approaching borderline significance (p=0.083 and p=0.079, pre-BD FEV1 absolute and predicted respectively, data not shown), though FVC post-BD absolute rate of change showed a significant association (p=0.04). Excessive FEV1 decline was observed more commonly among patients using pharmacotherapy with ICS with almost two-thirds (64%) showing excessive decline in comparison to patients using non-ICS pharmacotherapy (44%) and those using no pharmacotherapy (52%) (Table 5).
Table 5

Rate of Change in Lung Function Parameters Values (ml/Year for Predicted Values) Between Inhaled Pharmacotherapy Use (Note Pharmacotherapy Level Adjudged from What Was Reported at the Final Lung Function Test)

UnivariateNo Medication (n=25)SA/LA BA/MA (n=25)SA/LA BA/MA + ICS (n=63)p-value
Forced vital capacity (FVC)
Pre-BD (L)−22.5 (−79.73, 207.02)17.77 (−91.48, 113.8)−52.66 (−197.52, 60.36)0.074
Pre-BD (%)−0.82 (−5.19, 4.55)2.7 (−3.57, 7.76)−0.6 (−4.37, 2.01)0.164
Post-BD (L)32.68 (−64.91, 112.05)10.57 (−77.6, 80.38)−50.47 (−141.14, 64.71)0.064
Post-BD (%)0.72 (−4.2, 4.17)2.79 (−1.01, 6.04)0 (−3.52, 2.43)0.199
Forced expiratory volume in one second (FEV1)
Pre-BD (L)−5.76 (−63.19, 67.34)15.46 (−73.5, 74.62)−48.64 (−110.18, 62.5)0.022*
Pre-BD (%)−0.69 (−6.09, 4.17)2 (−2.27, 4.4)−0.82 (−3.4, 1.89)0.027*
Post-BD (L)−27.53 (−116.19, 142.87)21.59 (−45.02, 56.66)−37.95 (−123.65, 60.17)0.593
Post-BD (%)−0.69 (−4.35, 5.98)2.65 (−2, 4.61)−0.81 (−4.4, 2.13)0.135
Excessive FEV1 (pre-BD) decline^13 (52)11 (44)40 (64)0.218
FEV1/FVC
Pre-BD (AV)0 (−0.03, 0.01)0 (−0.02, 0.01)0 (−0.04, 0.01)0.880
Pre-BD (%)0 (−2.76, 1.82)−0.66 (−3.03, 2.02)0 (−4.85, 1.83)0.826
Post-BD (AV)−0.01 (−0.03, 0)0 (−0.02, 0)−0.01 (−0.03, 0.02)0.645
Post-BD (%)−0.35 (−2.73, 3.49)−0.53 (−3, 0.98)0 (−4.82, 1.81)0.988

Notes: Data were median (IQR). P-values were obtained via univariate quantile regression for continuous parameters and chi-squared test for categorical parameters. ^(Baseline predicted FEV1 – current predicted FEV1) + (0.15 × baseline absolute FEV1). *denotes statistically significant difference (p<0.05).

Abbreviations: AV, absolute value; BD, bronchodilator; ICS, inhaled corticosteroids; SA/LA BA/MA, short acting/long acting β2 receptor agonist/muscarinic antagonist’.

Rate of Change in Lung Function Parameters Values (ml/Year for Predicted Values) Between Inhaled Pharmacotherapy Use (Note Pharmacotherapy Level Adjudged from What Was Reported at the Final Lung Function Test) Notes: Data were median (IQR). P-values were obtained via univariate quantile regression for continuous parameters and chi-squared test for categorical parameters. ^(Baseline predicted FEV1 – current predicted FEV1) + (0.15 × baseline absolute FEV1). *denotes statistically significant difference (p<0.05). Abbreviations: AV, absolute value; BD, bronchodilator; ICS, inhaled corticosteroids; SA/LA BA/MA, short acting/long acting β2 receptor agonist/muscarinic antagonist’.

Clinical Characteristics by Pharmacotherapy Use – Subgroup Analysis

A subgroup analysis was undertaken to understand the clinical profile of patients in relation to pharmacotherapy use, due to the variation observed in the rate of change for LFPs in this group, and also due to higher proportion of excessive FEV1 decline among patients using ICS (Table 6). Patients using ICS pharmacotherapy were significantly older and had lower BMI in comparison to patients not on any pharmacotherapy. Use of pharmacotherapy among patients demonstrating radiological abnormalities was also higher, in particular in patients with COPD and bronchiectasis in the ICS group (Figures 2 and 3). All-cause mortality data showed that significantly higher proportion of patients using ICS were deceased (19%) in comparison to patients with no pharmacotherapy or with non-ICS pharmacotherapy (0–4%) (p=0.016) by the end of the study period.
Table 6

Clinical Characteristics of Patients with Multiple Lung Function Tests (LFTs) Recorded Stratified by Level of Pharmacotherapy Reported

Clinical ParametersNo Medication (n=25)SA/LA BA/MA (n=25)SA/LA BA/MA + ICS (n=63)p-value
Age (years)a45.22 (40.12, 50.32)56.73 (52.44, 61.02)53.13 (50.52, 55.74)0.018*
Anthropometric data and corpulence status
Height (m)a1.68 (1.65, 1.72)1.68 (1.64, 1.72)1.66 (1.64, 1.68)0.134
Weight (kg)b94 (75, 105)71 (58, 91)69 (60, 84)<0.001*
Body mass index (BMI, kg/m2)b32.61 (25.43, 37.81)23.61 (20.44, 32.41)25.24 (21.56, 30.39)0.042*
Underweight (BMI < 18.5 kg/m2)c3 (12)3 (12)9 (14)0.939
Normal weight (BMI:18.5–24.9 kg/m2)c3 (12)10 (40)21 (33)0.068
Overweight (BMI: 25.0–29.9 kg/m2)c3 (12)5 (20)16 (25)0.377
Obese (BMI ≥ 30 kg/m2) c16 (64)7 (28)17 (27)0.003*
Smoking status
Never smokerc3 (12)0 (0)8 (13)0.176
Former smokerc10 (40)8 (32)25 (40)0.779
Current smokerc12 (48)17 (68)30 (48)0.201
Pack Yearsb12.5 (5.3, 45)17.5 (5, 55.6)25 (8.3, 39)0.230
Radiology Findings
No abnormalityc20 (80)13 (52)24 (38)0.002*
Any abnormalityc5 (20)12 (48)39 (62)0.002*
Chronic obstructive pulmonary disease (COPD)c2 (8)10 (40)32 (51)0.001*
Bronchiectasisc3 (12)5 (20)17 (27)0.299
Combined COPD + Bronchiectasisc0 (0)3 (12)10 (16)0.109
Mortality
Deceasedc0 (0)1 (4)12 (19)0.016*
Age deceased (years)a52.5353.17 (45.67, 60.66)0.959

Notes: Data were mean (95% confidence interval). P-values were obtained via (a) univariate linear regression for parametrically distributed parameters, (b) univariate quantile regression for non-parametrically distributed parameters, and (c) chi-squared test for categorical parameters. *Statistically significant (p-value <0.05).

Abbreviations: ICS, inhaled corticosteroids; SA/LA BA/MA, short acting/long acting β2 receptor agonist/muscarinic antagonist’.

Figure 2

Coefficient plot showing univariate linear regression effects (Beta [95% confidence interval]) for normally distributed and quantile linear regression effects (Beta [95% confidence interval]) for non-parametrically distributed clinical characteristics by reported levels of pharmacotherapy usage against no pharmacotherapy.

Figure 3

Coefficient plot showing univariate logistic regression effects (Odds ratio [95% confidence interval]) by reported levels of pharmacotherapy usage against no pharmacotherapy. Note that non-smoker and combined chronic obstructive pulmonary disease (COPD) + bronchiectasis are omitted due to low numbers.

Clinical Characteristics of Patients with Multiple Lung Function Tests (LFTs) Recorded Stratified by Level of Pharmacotherapy Reported Notes: Data were mean (95% confidence interval). P-values were obtained via (a) univariate linear regression for parametrically distributed parameters, (b) univariate quantile regression for non-parametrically distributed parameters, and (c) chi-squared test for categorical parameters. *Statistically significant (p-value <0.05). Abbreviations: ICS, inhaled corticosteroids; SA/LA BA/MA, short acting/long acting β2 receptor agonist/muscarinic antagonist’. Coefficient plot showing univariate linear regression effects (Beta [95% confidence interval]) for normally distributed and quantile linear regression effects (Beta [95% confidence interval]) for non-parametrically distributed clinical characteristics by reported levels of pharmacotherapy usage against no pharmacotherapy. Coefficient plot showing univariate logistic regression effects (Odds ratio [95% confidence interval]) by reported levels of pharmacotherapy usage against no pharmacotherapy. Note that non-smoker and combined chronic obstructive pulmonary disease (COPD) + bronchiectasis are omitted due to low numbers.

Discussion

To the best of our knowledge, this is the first study to document lung function trends with or without radiological evidence of chronic airway disease and the effects of airway directed inhaled pharmacotherapy amongst an adult Indigenous Australian population. This study demonstrated several key findings: (i) Overall, there is no statistically significant difference in the LFPs between first and subsequent LFTs over a 1.5-year period, neither with nor without radiological evidence of airway disease, nor with use of any form or combination of inhaled pharmacotherapy; (ii) A higher proportion of patients with radiological evidence of COPD either with or without concurrent bronchiectasis are prescribed ICS pharmacotherapy; (iii) Excessive yearly decline in FEV1 is substantially higher among patients using ICS pharmacotherapy in comparison to patients with non-ICS or no inhaled pharmacotherapy; and (iv) All-cause mortality is higher among patients using ICS containing pharmacotherapy. Indigenous people around the world experience a higher burden of chronic health conditions, including advanced respiratory conditions.44–46 Despite evidence in the literature to suggest chronic respiratory conditions along with poor LFPs are highly prevalent among Indigenous population, including in the adult Indigenous Australians,1,4,7–16 there is no published data examining the effects of airway directed inhaled pharmacotherapy on LFPs trajectory in this population. Hence, we believe our current study is of significant value in addressing this gap in our knowledge. Several studies in the past have examined the effects of inhaled pharmacotherapy on LFPs among patients with airway diseases.25,26,28,29,31–36 However, there appears to be conflicting and contradicting information in the literature, in particular in relation to the utility of ICS in the management of patients with COPD. Some studies have demonstrated beneficial effects,32,34,47,48 whereas other reports have indicated potential adverse consequences with inhaled pharmacotherapy.49–54 In a similar vein, controversy exists over the use of inhaled pharmacotherapy among patients with bronchiectasis.55–59 These aspects are of significant clinical relevance in the Australian setting, where a significant proportion of Australian Indigenous patients demonstrate concurrent presence of COPD and bronchiectasis.7–9,12 Hence, lack of established evidence may give rise to an unprecedented treatment management dilemma and challenges for this Indigenous population. Previous studies in other non-Indigenous population have demonstrated that inhaled pharmacotherapy among patients with COPD may be helpful in reducing decline in FEV1, however, the beneficial effects of inhaled pharmacotherapy in attenuating the rate of decline in FEV1 appears to fade away on longer duration of follow up (> 1 year).34–36,47,48,60 This indicates a time dependent benefit of ICS, which appears to be most effective earlier in the disease’s spectrum. Other studies have demonstrated that long term benefits of inhaled pharmacotherapy in reducing LFPs decline is more likely to be among patients with moderate-to-severe COPD, with fewer pack-years of smoking and less severe emphysema.61 Moreover, it is observed that patients with lower FEV1 at baseline may demonstrate higher decline on follow-up.62 Our study cohort demonstrates an absolute decline in LFPs over the 1.5-years, however the changes were not statistically significant (Table 2), even after adjusting for radiological evidence of airway disease and inhaled pharmacotherapy use (). These findings (no significant change between first and last PFTs) might be a result of having low baseline LFPs to begin with and/or as a result of our study participants having higher severity or advanced disease alongside with higher smoking prevalence. Hence, these factors may be influential in not demonstrating significant variation between the first and the subsequent LFTs in our study participants. However, as the median duration between the first and final LFT in our study was about 1.5 years, it is not clear if shorter or longer follow-up LFTs would have altered our observed outcomes. One finding is of particular interest in this study: yearly excessive decline in LFPs was higher among patients on ICS, alongside higher overall mortality in this group. The study participants using non-ICS containing pharmacotherapy demonstrated a lesser degree of decline in LFPs (Table 4). It may be reasonable to speculate that patients being prescribed ICS may be at the higher end of the disease spectrum and inevitable to have higher overall all-cause mortality. On the other hand, long-term use of ICS may be detrimental by exacerbating recurrent airway infections/inflammation and in turn facilitating excessive decline in LFPs, especially, among those patients with concomitant COPD and bronchiectasis. Despite limited scientific evidence on the usefulness or utility of inhaled pharmacotherapy among Indigenous population, airway directed pharmacotherapy continues to be utilised extensively and access to appropriate pharmacotherapies can be a challenge among Indigenous people living in the remote and regional communities.63 Researchers have more than often questioned whether inhaled pharmacotherapy; in particular, ICS is a friend or foe in the management of CODP.64 Moreover, management guidelines developed and recommended for other ethnic population may not be applicable or relevant to Indigenous population. In this study, the authors do acknowledge that the number of study participants was less than ideal for high-powered conclusions in a study such as this. Moreover, in this study participants with normal radiology, one may not be able to come to a clear conclusion for the presence or absence of early COPD especially with smoking history or asthma. The correlation of respiratory symptoms to chest radiological could be variable or vice versa as well, especially with airway disease (symptomatic with normal radiology/asymptomatic with abnormal radiology). We chose to utilise chest radiology to document the presence or absence of chronic airway disease, due to the reason for this study being retrospective in nature and also purely relying on current or previous respiratory symptoms would have potentially lead to recall bias in the adult study participants. Furthermore, smoking rates are highly prevalent in the adult Indigenous population.14 In this study, we observed 90% of the study participants had a smoking history and only 12 did not have documented smoking history, although, due to the high smoking prevalence the likelihood of passive smoking could be very high as well. Hence, the results from the subgroup analysis in this current study documenting LFPs decline rate must be interpreted with caution. However, there is room for future prospective research. Nevertheless, a study of this kind for the first time has highlighted that there are no significant differences between first and subsequent LFPs over a 1.5-year period among Australian Indigenous patients with or without radiological evidence of COPD with or without concurrent bronchiectasis nor with use of inhaled airway directed pharmacotherapy. However, excessive yearly decline in FEV1 is noted to be higher among patients using ICS containing pharmacotherapy alongside higher all-cause mortality in comparison to patients with non-ICS containing inhaled pharmacotherapy or no pharmacotherapy. In the light of this study, and the authors several years of experience in managing Indigenous patients with chronic health conditions,7–16,54,65–72 until and unless further prospective large scale studies are available to prove or disprove if ICS pharmacotherapy is a friend or foe in the management among Indigenous people, we sincerely recommend and advocate extreme caution in utilising ICS among the NT Indigenous population and phenotypic markers should be utilised to guide airway directed inhaled pharmacotherapy.61,64,73,74

Study Limitations

The results of this study are restricted to the study participants from the TEHS region of the NT of Australia. The results and outcomes may or may not be applicable to other Indigenous populations. The authors acknowledge that the number of study participants were less than desired for a study such as this. However, it may be reasonable to accept this legitimate limitation given the practicality and complexity involved in both advanced healthcare access and study recruitment for Indigenous Australian participants. The majority (81%) of the NTs Indigenous Australian population reside in remote or very remote communities which imposes geographical isolation and logistical challenges as many communities may only be accessed seasonally by light aircraft.5,6 Therefore, access to LFTs are limited. We also did not assess the severity of airway disease on chest radiology, which may have led to potential bias in the outcomes observed.75 Moreover, as this study was retrospective in nature predominantly investigating LFTs, respiratory symptoms were not assessed to document the symptom benefits of inhaled pharmacotherapy. We also did not examine the prevalence of asthma or asthma/COPD overlap nor adherence to inhaled pharmacotherapy. Moreover, with longer duration follow up the results observed in this population may differ. Nonetheless, this is the first ever study to document LFPs trajectory amongst an Indigenous Australian population on inhaled airway directed pharmacotherapy and provides a baseline for further prospective research.

Conclusion

Our study illustrates that Australian Indigenous patients demonstrate no significant change in LFPs in between first and subsequent LFTs over a 1.5-year time-period irrespective of presence or absence of radiological evidence for underlying airway disease nor with use of any or combination of inhaled pharmacotherapy. However, excessive yearly decline in the LFPs are substantially high both overall, and particularly so among patients using ICS containing pharmacotherapy. Until further large-scale studies are available, ICS containing pharmacotherapy has to be used wisely in this Indigenous population.
  63 in total

Review 1.  British Thoracic Society guideline for non-CF bronchiectasis.

Authors:  M C Pasteur; D Bilton; A T Hill
Journal:  Thorax       Date:  2010-07       Impact factor: 9.139

2.  Prevalence and nature of lung function abnormalities among Indigenous Australians referred to specialist respiratory outreach clinics in the Northern Territory.

Authors:  Jonathon Schubert; Anuk Kruavit; Sumit Mehra; Sanjiwika Wasgewatta; Anne B Chang; Subash S Heraganahally
Journal:  Intern Med J       Date:  2019-02       Impact factor: 2.048

3.  Official American Thoracic Society technical standards: spirometry in the occupational setting.

Authors:  Carrie A Redlich; Susan M Tarlo; John L Hankinson; Mary C Townsend; William L Eschenbacher; Susanna G Von Essen; Torben Sigsgaard; David N Weissman
Journal:  Am J Respir Crit Care Med       Date:  2014-04-15       Impact factor: 21.405

4.  A pooled analysis of FEV1 decline in COPD patients randomized to inhaled corticosteroids or placebo.

Authors:  Joan B Soriano; Don D Sin; Xuekui Zhang; Pat G Camp; Julie A Anderson; Nick R Anthonisen; A Sonia Buist; P Sherwood Burge; Peter M Calverley; John E Connett; Stefan Petersson; Dirkje S Postma; Wojciech Szafranski; Jørgen Vestbo
Journal:  Chest       Date:  2007-03       Impact factor: 9.410

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Journal:  Age Ageing       Date:  2012-07-26       Impact factor: 10.668

Review 6.  Prevalence of asthma and chronic obstructive pulmonary disease in Aboriginal and non-Aboriginal populations: a systematic review and meta-analysis of epidemiological studies.

Authors:  Maria B Ospina; Donald C Voaklander; Michael K Stickland; Malcolm King; Ambikaipakan Senthilselvan; Brian H Rowe
Journal:  Can Respir J       Date:  2012 Nov-Dec       Impact factor: 2.409

Review 7.  Lung function decline in COPD.

Authors:  Claudio Tantucci; Denise Modina
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2012-02-09

8.  Longitudinal trends in clinical characteristics and lung function of patients with severe asthma under treatment in Brazil.

Authors:  P C A Almeida; E V Ponte; A Souza-Machado; A A Cruz
Journal:  BMC Pulm Med       Date:  2016-11-09       Impact factor: 3.317

9.  The Top End Sleepiness Scale (TESS): A New Tool to Assess Subjective Daytime Sleepiness Among Indigenous Australian Adults.

Authors:  Edmund Benn; Hugh Wirth; Teagan Short; Timothy Howarth; Subash S Heraganahally
Journal:  Nat Sci Sleep       Date:  2021-03-04

10.  Comparison of diffusing capacity of carbon monoxide (DLCO) and total lung capacity (TLC) between Indigenous Australians and Australian Caucasian adults.

Authors:  Timothy Howarth; Helmi Ben Saad; Ara J Perez; Charmain B Atos; Elisha White; Subash S Heraganahally
Journal:  PLoS One       Date:  2021-04-02       Impact factor: 3.240

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Authors:  Subash S Heraganahally; Timothy Howarth; Lisa Sorger; Helmi Ben Saad
Journal:  PLoS One       Date:  2022-02-08       Impact factor: 3.240

2.  Differences in the Spirometry Parameters Between Indigenous and Non-Indigenous Patients with COPD: A Matched Control Study.

Authors:  Dorothy F L Sze; Timothy P Howarth; Clair D Lake; Helmi Ben Saad; Subash S Heraganahally
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