Literature DB >> 32308379

Inhaled Corticosteroid Treatment Regimens and Health Outcomes in a UK COPD Population Study.

Chloe I Bloom1, Ian Douglas2, Omar S Usmani1, Jennifer K Quint1.   

Abstract

Background: Inhaled corticosteroids (ICS) are a prevailing treatment option for COPD patients but recent guidelines have relegated their use predominantly to patients with frequent exacerbations. Yet large numbers of patients worldwide are currently treated with ICS-containing regimens. We wished to determine in routine clinical practice how common ICS withdrawal is and the differences in health outcomes between patients managed on ICS-containing and non-ICS containing regimens. Patients and
Methods: COPD patients were identified from the UK primary care electronic healthcare records, between 2014 and 2018. Patients were grouped into three treatment regimens: long-acting beta-agonist (LABA) and inhaled corticosteroids (ICS), LABA and long-acting muscarinic antagonist (LAMA), and triple therapy (LABA, LAMA and ICS). Annual incidence of ICS withdrawal was measured. Multivariable logistic regression was used to identify patient factors associated with withdrawal. Multivariable Poisson regression was used to assess the association of exacerbations and hospitalised pneumonia between the ICS-containing regimens (LABA-ICS and triple therapy) and patients prescribed LABA-LAMA.
Results: Of 117,046 patients, around three-quarters were prescribed ICS-containing inhalers but ICS withdrawal occurred annually in only approximately 2-3% of patients. Exacerbations in the past year, but not a past history of pneumonia, were associated with ICS withdrawal. A total of 31,034 patients using three treatment regimens (LABA-ICS, LABA-LAMA or triple therapy) were assessed for their relative risk of exacerbations and pneumonia; the exacerbation risk was slightly lower in LABA-ICS users but the same in triple therapy users, as compared to LABA-LAMA users (LABA-ICS adjusted IRR=0.82 (95% CI 0.73-0.93), triple adjusted IRR=0.99 (95% CI 0.88-1.11)). There was no difference in the pneumonia risk (LABA-ICS adjusted IRR=0.96 (95% CI 0.71-1.31), triple adjusted IRR=1.16 (95% CI 0.87-1.57)).
Conclusion: Use of ICS-containing inhaled medication is prevalent across the UK while ICS withdrawal from established treatment was relatively uncommon. Exacerbations and pneumonia risk was similar between the ICS-containing and non-ICS containing treatment regimens.
© 2020 Bloom et al.

Entities:  

Keywords:  corticosteroids; inhalers; primary care; real world

Mesh:

Substances:

Year:  2020        PMID: 32308379      PMCID: PMC7136662          DOI: 10.2147/COPD.S241568

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


Introduction

The mainstay of pharmacological treatment of COPD is long-term inhaled medication. A key goal is to reduce the frequency and severity of exacerbations. Beyond the short-acting bronchodilators, there are three classes of inhaled medication: long-acting beta-agonists (LABA), long-acting muscarinic antagonists (LAMA), and inhaled corticosteroids (ICS). The Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommends different inhaled treatment depending on the patient's lung function, recent exacerbation history and current symptoms.1 In 2017, GOLD had their five-year major revision and proposed that when regular monotherapy with a long-acting bronchodilator is insufficient, a LABA–LAMA combination should be prescribed first-line in preference over ICS-LABA (unless a patient has asthma or asthma/COPD overlap).2 ICS should only be added to long-acting bronchodilators in patients with frequent exacerbations. However, in real life, inhaler prescribing practices are known to be out of synchrony with guideline recommendations leading to many COPD patients worldwide being prescribed ICS, often without clinical indication.3–8 The two major concerns over ICS use are their efficacy to reduce exacerbations, over long-acting bronchodilators, and their long-term safety profile. Evidence from randomised-controlled trials suggests that LABA-ICS is not superior to LABA-LAMA but may increase the risk of pneumonia.9–11 Although trials have shown triple therapy does offer some advantage over LABA-LAMA, the greatest benefit is for patients with raised eosinophil counts or an asthma co-diagnosis.12 Due to safety concerns, in particular the risk of developing pneumonia, several trials have investigated discontinuation of ICS,13–15 including trials with a more “real-life” setting.16,17 Even with this evidence, while modern guidelines have shifted towards advocating ICS use only in those with a higher exacerbation risk, there still remains little clarity as to who, or how, patients should be stepped down from triple therapy, or switched from LABA-ICS, to LABA-LAMA. In the UK, ICS withdrawal is ostensibly a growing clinical practice that is encouraged in primary care.18 Therefore, this study sought to clarify how often COPD patients in UK primary care have their ICS withdrawn and the patient factors associated with this practice. In addition, we assessed the risk in a real-world population of exacerbations and hospitalised pneumonia associated with triple therapy and LABA-ICS, as compared to LABA-LAMA.

Methods

Data Source

We used the Clinical Practice Research Database (CPRD-GOLD), a nationally representative database of de-identified electronic healthcare records. CPRD contains information on diagnoses, symptoms, prescriptions and test results on over 11 million patients, from over 670 GP practices across the UK.19 Patient’s data were linked to Hospital Episode Statistics (HES) database as HES contains information on all admissions to National Health Service hospitals in England. Patients’ data were linked to Office of National Statistics (ONS) for mortality data. Approximately 60% of patients in CPRD have individual-level linkage to HES, ONS and IMD.

Study Population

All patients included in this historical open cohort study were aged >35 years old, had a history of smoking, had a COPD diagnosis as defined using validated algorithm of clinical codes alone20 and were prescribed inhaled airways medication (). All patients with at least 1 year of data between 1st January 2014 and 1st January 2019 were included in the prescription analysis. Only patients prescribed one of the three treatment regimens (see below), and had HES linked data, were included in the outcomes analysis (). Patients were included from the latest date of the following: January 1st 2014, research acceptable date (CPRD quality control), continuous records date, 35th birthday, or prescription for inhaled airways medication. Follow-up was censored at the earliest date of the following: January 1st 2019, date transferred out of CPRD, last data collection or death. For the prescription analysis, data were only included if there was a full calendar year.

Inhaler Regimens and Outcomes

Inhaler treatments included were inhaled corticosteroid (ICS), long-acting beta-agonist (LABA), and long-acting muscarinic antagonist (LAMA) and short-acting beta-agonist (SABA). Inhaler regimens included were LABA-ICS, LAMA-LABA or triple therapy (LABA, LAMA and ICS). All regimens could be prescribed as a combination inhaler or as multiple single components. Patients were only eligible for the statistical analysis if they had at least two prescriptions of their inhaler regimen within 91 days, in the year before their study start date. Withdrawal was defined as ≥6 months of no ICS-containing inhaler prescription. Exacerbations were identified using a validated algorithm (algorithm uses a combination of treatment with oral corticosteroids, antibiotics, and codes for exacerbation and symptoms).21,22 Exacerbations recorded within 14 days after the index 1 were considered part of the same exacerbation. Pneumonia was defined as a hospital admission for pneumonia using ICS-10 (J18); only the first pneumonia during follow-up was recorded.

Covariates

Body mass index (BMI) was measured as kg/m2. COPD severity was classified using 2019 GOLD spirometry staging classification and the MRC Dyspnoea Scale; the patient’s most recent spirometry and MRC recordings were used. The following variables were defined using only data in the year before a patient’s study start date: “past exacerbations”, “pneumonia” and “SABA use” (frequency of SABA prescriptions). Incident inhaler use was defined as inhalers prescribed for COPD patients started within 3 months of the patient’s study start date. Prevalent inhaler use was defined as inhalers prescribed for at least 1 year. A history of bronchiectasis, ischaemic heart disease (IHD), heart failure, ischaemic cerebrovascular disease (stroke), anxiety, depression or asthma were recorded using appropriate (available upon request). A history of asthma was defined using validated Read codes.23

Statistical Analysis

Inhaler prevalence was calculated as the percentage of patients prescribed each regimen per year, 2014 to 2018, by the total COPD cohort in the database that year. The incidence of ICS withdrawal was calculated as those patients that were withdrawn divided by the total number using ICS-containing regimen at the beginning of that year. Association between patient factors and ICS withdrawal was assessed using multivariable logistic regression model. The proportion that was re-started on ICS within a year of withdrawal was also calculated. Baseline characteristics and rates were tabulated for each inhaler regimen for patients in the outcomes analysis. To calculate rate ratios of exacerbations between the treatment regimens, and to take into account multiple exacerbations, a repeated measures Poisson regression model was used. To assess the association between inhaler regimen and pneumonia the data were modelled using Poisson regression and time to first pneumonia during follow-up. Both models were adjusted for age, gender, BMI, smoking history, COPD severity, SABA use, past exacerbations, pneumonia and comorbidities (asthma, bronchiectasis, heart failure, IHD, stroke, anxiety and depression). All statistical analyses were performed using STATA 14.2.

Ethical Approval

The protocol for this research was approved by the Independent Scientific Advisory Committee (ISAC) for MHRA Database Research (protocol number 18_185) and the approved protocol was made available to the journal and reviewers during peer review. Generic ethical approval for observational research using CPRD with approval from ISAC has been granted by a Health Research Authority (HRA) Research Ethics Committee (East Midlands – Derby, REC reference number 05/MRE04/87). Linked pseudonymised data were provided for this study by CPRD. Data are linked by NHS Digital, the statutory trusted third party for linking data, using identifiable data held only by NHS Digital. Select practices consent to this process at a practice level with individual patients having the right to opt-out.

Results

Temporal Changes in Prescription Regimens

The proportion of patients prescribed an ICS-containing regimen slowly declined from 83.7% in 2014, to 72.2% in 2018, this was predominantly due to the decrease in LABA-ICS prescriptions (Figure 1). The proportion prescribed LABA-LAMA regimen greater than quadrupled during this time period, from 2.2% in 2014 to 10.8% in 2018.
Figure 1

COPD inhaler prescriptions between 2014 and 2018 by ICS-containing or non-ICS containing inhalers.

COPD inhaler prescriptions between 2014 and 2018 by ICS-containing or non-ICS containing inhalers. The percentage of patients that had ICS withdrawn was very low, around 2–3%, but in general, this increased slightly between 2014 and 2018 (Figure 2). Of note, those switched to a non-ICS regimen, 46.9% were switched back to an ICS-containing regimen within 1 year.
Figure 2

Percentage of patients that ICS withdrawn from their treatment regimen between 2014 and 2018.

Percentage of patients that ICS withdrawn from their treatment regimen between 2014 and 2018.

Patient Characteristics by Treatment Regimen

A total of 31,034 patients were eligible for the outcomes analysis; two-thirds of patients were prescribed triple therapy (60.7%), followed by LABA-ICS (36.9%) and LAMA-LABA (2.4%) (Table 1). Patients’ prescribed triple therapy had higher proportion with MRC score ≥3, GOLD spirometry ≥3, ≥1 exacerbation and history of pneumonia. Patients prescribed LABA-ICS or triple therapy had much higher proportion with asthma co-diagnosis and those with eosinophils >0.3 x109/L.
Table 1

Patient Characteristics by Treatment Regimen

LAMA-LABALABA-ICSTriple Therapy (LAMA-LABA-ICS)Total
No.%No.%No.%No.%
Total7442.411,44036.918,85060.731,034100.0
Gender
 Female39252.7561249.1990552.515,90951.3
 Male35247.3582850.9894547.515,12548.7
Age
 35–65 years22630.4375032.8517427.4915029.5
 65–75 years25534.3368132.2667735.410,61334.2
 ≥75 years26335.3400935.0699937.111,27136.3
BMI
 Normal23232.3314129.4587832.8925131.5
 Underweight334.63423.29525.313274.5
 Overweight24133.6364334.1567031.6955432.6
 Obese21229.5356533.3541730.2919431.4
Smoking history
 Current29140.1365935.7606833.810,01834.6
 Ex43559.9658964.311,91066.218,93465.4
SABA use
 None9713.0165414.515358.1328610.6
 121228.5311127.2384320.4716623.1
 230340.7459740.2813743.213,03742.0
 ≥313217.7207818.2533528.3754524.3
MRC dyspnoea score
 0638.9185319.312817.1319711.3
 129241.2398841.6552030.6980034.6
 223332.9230124.0581332.3834729.5
 310715.1117112.2439224.4567020.0
 4131.82752.910105.612984.6
GOLD spirometry
 131146.3512256.1740643.312,83947.7
 225938.5266729.2487028.5779629.0
 39113.5114912.6379522.2503518.7
 4111.61902.110216.012224.5
Past exacerbations
 None46061.8673258.8832344.215,51550.0
 117223.1262823.0462324.5742323.9
 >111215.1208018.2590431.3809626.1
Eosinophils (x109/L)
 ≤ 0.358080.8834776.014,37679.023,30378.0
 >0.313819.2263924.0381421.0659122.0
 Pneumonia141.92412.18704.611253.6
 Asthma22330.0783568.510,73757.018,79560.6
 Heart failure466.27306.416058.523817.7
 Ischaemic Heart Disease13317.9198517.4361619.2573418.5
 Stroke557.48257.215678.324477.9
 Bronchiectasis223.06805.912276.519296.2
 Depression25434.1352930.8618932.8997232.1
 Anxiety19325.9313027.4515827.4848127.3

Abbreviations: LABA, long-acting beta-agonist; LAMA, long-acting antimuscarinic antagonist; Triple therapy, LAMA+LABA+ICS; SABA, short-acting beta-agonist; IHD, ischaemic heart disease; BMI, body mass index.

Patient Characteristics by Treatment Regimen Abbreviations: LABA, long-acting beta-agonist; LAMA, long-acting antimuscarinic antagonist; Triple therapy, LAMA+LABA+ICS; SABA, short-acting beta-agonist; IHD, ischaemic heart disease; BMI, body mass index.

Factors Associated with Switching from an ICS-Containing Regimen to a Non-ICS Containing Regimen

The factors significantly associated with having ICS withdrawal were being underweight, obese, a past history of a stroke or having had at least one COPD exacerbation in the past year (Table 2). Factors found to be significantly associated with not withdrawing ICS were GOLD spirometry greater than mild, any SABA use, an asthma co-diagnosis and comorbid heart failure. A history of hospitalised pneumonia was not significantly associated with ICS withdrawal.
Table 2

Multivariable Analysis to Assess Factors Potentially Associated with Switching from ICS-Containing Regimen to Non-ICS Containing Regimen

Adjusted ORp-valueLower 95% CIUpper 95% CI
Gender1.030.440.961.1
AgeReference
 35–65 years
 65–75 years1.050.290.961.14
 ≥75 years1.000.980.911.1
BMI
 NormalReference
 Underweight1.380.001.191.61
 Overweight1.040.420.951.13
 Obese1.160.001.061.27
Smoking history
 CurrentReference
 Ex1.020.600.951.1
GOLD spirometry
 1Reference
 20.880.000.820.96
 30.730.000.660.8
 40.530.000.440.65
SABA use
 NoneReference
 10.840.010.740.96
 20.580.000.520.66
 ≥30.430.000.380.49
Past exacerbations
 NoneReference
 ≥1 exact1.990.001.772.23
 Asthma0.820.000.760.88
 Heart failure0.720.000.620.83
 IHD0.940.200.861.03
 Stroke1.210.001.081.36
 Bronchiectasis0.920.220.81.05
 Depression1.010.790.931.09
 Anxiety0.980.680.911.07
 Pneumonia0.860.110.711.03

Note: All variables listed in the table were included in the multivariable model.

Abbreviations: SABA, short-acting beta-agonist; IHD, ischaemic heart disease.

Multivariable Analysis to Assess Factors Potentially Associated with Switching from ICS-Containing Regimen to Non-ICS Containing Regimen Note: All variables listed in the table were included in the multivariable model. Abbreviations: SABA, short-acting beta-agonist; IHD, ischaemic heart disease.

Comparing Health Outcomes Between Patients on Triple Therapy, ICS-LABA and LABA-LAMA Regimens

Patients prescribed triple therapy had over 60% higher rates of exacerbations, per person year, than those prescribed LAMA-LABA or LABA-ICS, but the rate between dual therapy regimens was similar (Table 3). After adjusting for all confounders, there was no difference in the risk of exacerbations between patients using triple therapy and patients using LAMA-LABA, but there was a slightly reduced risk of exacerbations in patients prescribed LABA-ICS compared to LAMA-LABA (LABA-ICS: adjusted IRR=0.82 95% CI 0.73–0.93, triple: adjusted IRR=0.99 95% CI 0.88–1.11) (Table 4).
Table 3

Rates of Exacerbations for Each Treatment Regimen

Rate per Person YearLower 95% CIUpper 95% CI
LAMA-LABA0.970.911.02
LABA-ICS0.940.920.95
Triple1.431.421.44
Table 4

Association Between Treatment Regimens and Exacerbations After Adjusting for Multiple Risk Factors

Adjusted IRRp-valueLower 95% CIUpper 95% CI
LAMA-LABAReference
LABA-ICS0.820.000.730.93
Triple therapy0.990.840.881.11
Prevalent use1.090.001.051.14
Incident use1.090.120.981.21
Gender
 FemaleReference
 Male1.070.001.031.11
Age
 35–65 yearsReference
 65–75 years1.050.041.001.09
 ≥75 years1.110.001.061.16
BMI
 NormalReference
 Underweight1.110.011.031.21
 Overweight1.000.980.961.04
 Obese0.960.060.921.00
Smoking history
 CurrentReference
 Ex0.950.010.920.99
MRC score
 0Reference
 11.200.001.131.28
 21.320.001.231.40
 31.410.001.321.51
 41.630.001.471.79
GOLD spirometry
 1Reference
 21.020.310.981.06
 31.110.001.061.16
 41.210.001.111.31
Past exacerbations
 NoneReference
 1 exac1.760.001.691.84
 >13.120.003.003.24
SABA use
 NoneReference
 11.230.001.151.32
 21.360.001.271.45
 ≥31.540.001.441.65
Eosinophils (x10S/L)
 ≤ 0.3Reference
 >0.31.000.980.961.04
 Pneumonia1.170.001.071.27
 Asthma1.040.031.011.08
 Heart failure1.100.001.031.17
 IHD1.040.061.001.09
 Stroke1.100.001.041.17
 Bronchiectasis1.130.001.051.21
 Depression1.090.001.051.13
 Anxiety1.090.001.051.14

Note: All variables listed in the table were included in the multivariable model.

Abbreviations: LABA, long-acting beta-agonist; LAMA, long-acting antimuscarinic antagonist; Triple therapy, LAMA+LABA+ICS; SABA, short-acting beta-agonist; IHD, ischaemic heart disease; BMI, body mass index.

Rates of Exacerbations for Each Treatment Regimen Association Between Treatment Regimens and Exacerbations After Adjusting for Multiple Risk Factors Note: All variables listed in the table were included in the multivariable model. Abbreviations: LABA, long-acting beta-agonist; LAMA, long-acting antimuscarinic antagonist; Triple therapy, LAMA+LABA+ICS; SABA, short-acting beta-agonist; IHD, ischaemic heart disease; BMI, body mass index. Patients prescribed triple therapy had around 50% higher rates of hospitalised pneumonia, per person year, than those prescribed LAMA-LABA or LABA-ICS, but the rate between dual therapy regimens was similar (Table 5). After adjusting for all confounders, there was no significant difference in the risk of hospitalised pneumonia between patients using triple therapy and patients using LAMA-LABA, but there was a non-significant increased risk of hospitalised pneumonia in patients prescribed triple therapy compared to LAMA-LABA (LABA-ICS: adjusted IRR=0.96 95% CI 0.71–1.31, triple: adjusted IRR=1.16 95% CI 0.87–1.57; compared to the reference group of LAMA-LABA users) (Table 6).
Table 5

Rates of First Pneumonia for Each Treatment Regimen

Rate per Person YearLower 95% CIUpper 95% CI
LAMA-LABA0.040.030.05
LABA-ICS0.030.030.04
Triple0.060.060.06
Table 6

Association Between Treatment Regimens and Hospitalised Pneumonia Events After Adjusting for Multiple Risk Factors

Adjusted IRRp-valueLower 95% CIUpper 95% CI
LAMA-LABA
LABA-ICS0.960.820.711.31
Triple therapy1.160.310.871.57
Prevalent use1.090.070.991.21
Incident use1.250.060.991.57
Gender
 FemaleReference
 Male0.870.040.800.94
Age
 35–65 yearsReference
 65–75 years1.800.001.582.04
 ≥75 years3.180.002.813.60
BMI
 NormalReference
 Underweight1.330.001.141.57
 Overweight0.760.000.690.84
 Obese0.700.000.630.77
Smoking history
 CurrentReference
 Ex1.070.130.981.17
MRC score
 0Reference
 11.230.041.011.49
 21.830.001.512.22
 32.360.001.942.87
 42.920.002.313.68
GOLD spirometry
 1Reference
 20.990.860.901.09
 31.180.001.061.30
 41.510.001.291.77
Past exacerbations
 NoneReference
 1 exac1.170.001.051.30
 >11.580.001.441.74
SABA use
 NoneReference
 11.120.200.941.33
 21.190.031.021.40
 ≥31.400.001.191.66
 Pneumonia2.490.002.172.87
 Asthma0.840.000.780.91
 Heart failure1.350.001.201.53
 IHD1.170.001.061.28
 Stroke1.260.001.111.42
 Bronchiectasis1.250.001.081.45
 Depression0.960.370.871.05
 Anxiety1.070.190.971.17

Note: All variables listed in the table were included in the multivariable model.

Abbreviations: LABA, long-acting beta-agonist; LAMA, long-acting antimuscarinic antagonist; Triple therapy, LAMA+LABA+ICS; SABA, short-acting beta-agonist; IHD, ischaemic heart disease; BMI, body mass index.

Rates of First Pneumonia for Each Treatment Regimen Association Between Treatment Regimens and Hospitalised Pneumonia Events After Adjusting for Multiple Risk Factors Note: All variables listed in the table were included in the multivariable model. Abbreviations: LABA, long-acting beta-agonist; LAMA, long-acting antimuscarinic antagonist; Triple therapy, LAMA+LABA+ICS; SABA, short-acting beta-agonist; IHD, ischaemic heart disease; BMI, body mass index.

Discussion

Over two-thirds of COPD patients between 2014 and 2018 were prescribed ICS-containing inhaled therapy, in particular triple therapy; similar to the proportion seen in Sweden but higher than that found in the Balearic Islands (Spain).24,25 In keeping with guideline changes and recommendations during this time period, the proportion prescribed non-ICS inhaled therapy steadily increased, especially dual bronchodilator (LABA-LAMA) treatment. Only a very small proportion of patients on established ICS treatment had their ICS withdrawn, of whom nearly half had ICS re-introduced within a year. Surprisingly, one of the most influential factors in ICS withdrawal were one or more exacerbations in the year prior, even though this is the group of patients that are expected to benefit from ICS. This could be because they were seen more frequently by a physician or because there was concern over the known association between ICS and respiratory tract bacterial infections.26–29 However, a past history of hospitalised pneumonia was not associated with ICS withdrawal and many resumed ICS use. Encouragingly, and as we have shown before in a different UK primary care patient cohort,3 patients that were prescribed triple therapy, had more severe disease and were more likely to exacerbate than those prescribed dual therapy. But after taking into account major risk factors, including disease severity and history of exacerbations, the risk of exacerbations was similar between all three regimens. Although the risk in the LABA-ICS treated patients was marginally lower, the confidence intervals crossed those treated with triple therapy; it is possible a larger sample size would find the effect estimate not to be statistically different and there may have been some residual confounding. There was also no significant difference in the risk of hospitalised pneumonia between regimens, even though the estimate was slightly higher in the triple therapy treated patients, but not LABA-ICS treated patients. The meaning of this is unclear, as both triple and LABA-ICS regimens clearly contain ICS, but the total amount of ICS use may have varied, furthermore, in this sample size the marginally elevated estimate was not statistically significant. The 2017 Cochrane Systematic Review examined multiple randomised-controlled trials comparing LABA-ICS to LABA-LAMA, and found that patients using LAMA-LABA had fewer exacerbations and a lower pneumonia risk, but the evidence was only of low or moderate quality.9 The 2016 FLAME trial randomised patients to either LABA-LAMA or ICS-LABA and found that LABA-LAMA was superior in terms of exacerbation rates,10 although, other studies using a different LABA–LAMA combination found equivocal results.11 Another large trial, 2018 IMPACT study, also compared triple therapy to either LABA-LAMA or ICS-LABA, and again found lower rates of exacerbations with triple therapy.30 Several trials have compared triple therapy to LAMA-LABA but a meta-analysis in 2018 found only modest improvements in efficacy against exacerbations from triple therapy, except in those with raised eosinophil counts where the benefits were more substantiated, and no difference in pneumonia risk.12 Unfortunately, results from trials do not always predict the effectiveness of inhaled treatment in routine clinical practice.31,32 Firstly, effectiveness is influenced by inhaler technique, which is optimised in trials,33,34 and secondly, over 90% of COPD patients in primary care do not meet trial eligibility criteria.32 Thirdly, changing inhaler devices rely on a good patient-pharmacist or patient-doctor/nurse relationship, which often does not happen.35 Furthermore, many patients are inappropriately prescribed ICS-LABA, the consequence of changing these patients to LABA-LAMA has not been studied in trials. Therefore, data from everyday clinical practice are also required, ideally a real-world pragmatic trial, but even observational studies using routinely collected data help inform on the general COPD population. The main strengths of this study are the size of the population included, longevity of their follow-up, representativeness of the database and the accuracy and completeness of prescription records. However, although this study was large, pneumonia is an infrequent event and as such may require even larger studies of real world populations. Study limitations to be considered are the lack of information on prescription dispensing, or adherence to medication. Due to the low numbers of patients withdrawing from ICS, even in such a large database, the direct impact of this practice could not be assessed. Studies using electronic healthcare records can suffer from misclassification; in this study, we have used a validated definition of COPD and COPD exacerbations, however, it is possible some diagnosed exacerbations were actually a pneumonia or both a pneumonia and an exacerbation of their COPD. Furthermore, many patients had a co-diagnosis of asthma, it was not possible in this study to investigate misclassification, a follow-up study would be warranted that addressed a population of patients only given a COPD diagnosis. There may also have been residual confounding, factors that influenced the physician’s decision to start a patient on particular regimen that was not recorded.

Conclusion

ICS-containing regimens are common prescribed in COPD patients, often inappropriately, yet withdrawal from ICS is uncommon. The factors associated with withdrawal were not as expected which may be related to the lack of clear recommendations in guidelines. Health outcomes, exacerbations and pneumonia, after controlling for multiple known risk factors, were analogous amongst all three treatment regimens.
  33 in total

1.  Treatment patterns in COPD patients newly diagnosed in primary care. A population-based study.

Authors:  Miriam Barrecheguren; Mónica Monteagudo; Jaume Ferrer; Eulalia Borrell; Carl Llor; Cristina Esquinas; Marc Miravitlles
Journal:  Respir Med       Date:  2015-12-23       Impact factor: 3.415

2.  Factors associated with inhaled corticosteroids prescription in primary care patients with COPD: A cross-sectional study in the Balearic Islands (Spain).

Authors:  Miguel Román-Rodríguez; Job F M van Boven; Freya Vargas; Cecilia C Contreras; Gema Lamelas; Salvador Gestoso; Miguel Góngora; Maite Corredor; Magdalena Esteva
Journal:  Eur J Gen Pract       Date:  2016-09-06       Impact factor: 1.904

3.  Once-Daily Single-Inhaler Triple versus Dual Therapy in Patients with COPD.

Authors:  David A Lipson; Frank Barnhart; Noushin Brealey; Jean Brooks; Gerard J Criner; Nicola C Day; Mark T Dransfield; David M G Halpin; MeiLan K Han; C Elaine Jones; Sally Kilbride; Peter Lange; David A Lomas; Fernando J Martinez; Dave Singh; Maggie Tabberer; Robert A Wise; Steven J Pascoe
Journal:  N Engl J Med       Date:  2018-04-18       Impact factor: 91.245

4.  INSTEAD: a randomised switch trial of indacaterol versus salmeterol/fluticasone in moderate COPD.

Authors:  Andrea Rossi; Thys van der Molen; Ricardo del Olmo; Alberto Papi; Luis Wehbe; Matthew Quinn; Chengxing Lu; David Young; Ray Cameron; Enrica Bucchioni; Pablo Altman
Journal:  Eur Respir J       Date:  2014-10-30       Impact factor: 16.671

5.  External validity of randomised controlled trials in asthma: to whom do the results of the trials apply?

Authors:  Justin Travers; Suzanne Marsh; Mathew Williams; Mark Weatherall; Brent Caldwell; Philippa Shirtcliffe; Sarah Aldington; Richard Beasley
Journal:  Thorax       Date:  2006-11-14       Impact factor: 9.139

6.  Pneumonia risk in COPD patients receiving inhaled corticosteroids alone or in combination: TORCH study results.

Authors:  C Crim; P M A Calverley; J A Anderson; B Celli; G T Ferguson; C Jenkins; P W Jones; L R Willits; J C Yates; J Vestbo
Journal:  Eur Respir J       Date:  2009-05-14       Impact factor: 16.671

7.  Data Resource Profile: Clinical Practice Research Datalink (CPRD).

Authors:  Emily Herrett; Arlene M Gallagher; Krishnan Bhaskaran; Harriet Forbes; Rohini Mathur; Tjeerd van Staa; Liam Smeeth
Journal:  Int J Epidemiol       Date:  2015-06-06       Impact factor: 7.196

8.  Validation of asthma recording in the Clinical Practice Research Datalink (CPRD).

Authors:  Francis Nissen; Daniel R Morales; Hana Mullerova; Liam Smeeth; Ian J Douglas; Jennifer K Quint
Journal:  BMJ Open       Date:  2017-08-11       Impact factor: 2.692

9.  A Cross-Sectional Study Assessing Appropriateness Of Inhaled Corticosteroid Treatment In Primary And Secondary Care Patients With COPD In Sweden.

Authors:  Johanna Sulku; Christer Janson; Håkan Melhus; Andrei Malinovschi; Björn Ställberg; Kristina Bröms; Marieann Högman; Karin Lisspers; Margareta Hammarlund-Udenaes; Elisabet I Nielsen
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2019-11-05

10.  Predictors of ICS/LABA prescribing in COPD patients: a study from general practice.

Authors:  Elin Drivenes; Anders Ostrem; Hasse Melbye
Journal:  BMC Fam Pract       Date:  2014-03-05       Impact factor: 2.497

View more
  5 in total

1.  Pulmonologists' Opinion on the Use of Inhaled Corticosteroids in Chronic Obstructive Pulmonary Disease Patients in Spain: A Cross-Sectional Survey.

Authors:  Marc Miravitlles; Fernando González-Torralba; Cristina Represas-Represas; Xavier Pomares; Eduardo Márquez-Martín; Cruz González; Carlos Amado; Carles Forné; Soledad Alonso; Bernardino Alcázar; Miriam Barrecheguren; Juan María Jurado Mirete; Elsa Naval
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2022-07-12

2.  Withdrawal of inhaled corticosteroids versus continuation of triple therapy in patients with COPD in real life: observational comparative effectiveness study.

Authors:  Helgo Magnussen; Sarah Lucas; Therese Lapperre; Jennifer K Quint; Ronald J Dandurand; Nicolas Roche; Alberto Papi; David Price; Marc Miravitlles
Journal:  Respir Res       Date:  2021-01-21

3.  Real-World Treatment Patterns of Multiple-Inhaler Triple Therapy Among Patients with Chronic Obstructive Pulmonary Disease in UK General Practice.

Authors:  Leah B Sansbury; Chanchal Bains; David A Lipson; Afisi S Ismaila; Sarah H Landis
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2021-05-06

4.  Treatment Transitions in Chronic Obstructive Pulmonary Disease: Retrospective Analyses of US and UK Healthcare Databases.

Authors:  Chloe I Bloom; Jukka Montonen; Olaf Jöns; Elizabeth M Garry; Surya P Bhatt
Journal:  Pulm Ther       Date:  2022-01-10

Review 5.  Individual trajectory-based care for COPD: getting closer, but not there yet.

Authors:  Nicolas Roche; Philippe Devillier; Patrick Berger; Arnaud Bourdin; Daniel Dusser; Jean-François Muir; Yan Martinat; Philippe Terrioux; Bruno Housset
Journal:  ERJ Open Res       Date:  2021-12-13
  5 in total

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