Literature DB >> 25210450

Management of COPD in the UK primary-care setting: an analysis of real-life prescribing patterns.

David Price1, Daniel West2, Guy Brusselle3, Kevin Gruffydd-Jones4, Rupert Jones5, Marc Miravitlles6, Andrea Rossi7, Catherine Hutton2, Valerie L Ashton2, Rebecca Stewart2, Katsiaryna Bichel2.   

Abstract

BACKGROUND: Despite the availability of national and international guidelines, evidence suggests that chronic obstructive pulmonary disease (COPD) treatment is not always prescribed according to recommendations. This study evaluated the current management of patients with COPD using a large UK primary-care database.
METHODS: This analysis used electronic patient records and patient-completed questionnaires from the Optimum Patient Care Research Database. Data on current management were analyzed by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) group and presence or absence of a concomitant asthma diagnosis, in patients with a COPD diagnosis at ≥35 years of age and with spirometry results supportive of the COPD diagnosis.
RESULTS: A total of 24,957 patients were analyzed, of whom 13,557 (54.3%) had moderate airflow limitation (GOLD Stage 2 COPD). The proportion of patients not receiving pharmacologic treatment for COPD was 17.0% in the total COPD population and 17.7% in the GOLD Stage 2 subset. Approximately 50% of patients in both cohorts were receiving inhaled corticosteroids (ICS), either in combination with a long-acting β2-agonist (LABA; 26.7% for both cohorts) or a LABA and a long-acting muscarinic antagonist (LAMA; 23.2% and 19.9%, respectively). ICS + LABA and ICS + LABA + LAMA were the most frequently used treatments in GOLD Groups A and B. Of patients without concomitant asthma, 53.7% of the total COPD population and 50.2% of the GOLD Stage 2 subset were receiving ICS. Of patients with GOLD Stage 2 COPD and no exacerbations in the previous year, 49% were prescribed ICS. A high proportion of GOLD Stage 2 COPD patients were symptomatic on their current management (36.6% with modified Medical Research Council score ≥2; 76.4% with COPD Assessment Test score ≥10).
CONCLUSION: COPD is not treated according to GOLD and National Institute for Health and Care Excellence recommendations in the UK primary-care setting. Some patients receive no treatment despite experiencing symptoms. Among those on treatment, most receive ICS irrespective of severity of airflow limitation, asthma diagnosis, and exacerbation history. Many patients on treatment continue to have symptoms.

Entities:  

Keywords:  COPD; UK primary-care setting; bronchodilators; inhaled corticosteroids; prescribing patterns

Mesh:

Substances:

Year:  2014        PMID: 25210450      PMCID: PMC4154894          DOI: 10.2147/COPD.S62750

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


Introduction

Chronic obstructive pulmonary disease (COPD) is a complex disease characterized by pulmonary as well as extrapulmonary effects. As airflow limitation poorly relates to other important clinical outcomes in COPD, the Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2014 strategy advocates a combined assessment to estimate current symptoms and future risk of exacerbations (Figure S1).1 In the UK, the National Institute for Health and Care Excellence (NICE) also recommends a multidimensional assessment to guide treatment of COPD.2 In COPD, pharmacologic therapy is used to reduce symptoms, reduce frequency and severity of exacerbations, and improve health status and exercise tolerance.1 Bronchodilator medications are central to the pharmacologic management of COPD.1 Short-acting bronchodilators are used for immediate relief from symptoms; one or more long-acting bronchodilators (long-acting β2-agonists [LABAs] or long-acting muscarinic antagonists [LAMAs]) are recommended for long-term maintenance therapy in patients with moderate-to-severe COPD.1–3 Combining bronchodilators of different pharmacologic classes has the potential to improve efficacy, without increasing the risk of side effects, compared with increasing the dose of a single bronchodilator.1,4–7 Whilst inhaled corticosteroids (ICS) are the cornerstone of asthma management, their role in COPD remains controversial.8–11 In COPD, the role of ICS is primarily to reduce the risk of exacerbations.12 Evidence from subset analyses of large clinical trials indicates the efficacy of LABA/ICS in patients with moderate or severe COPD,13 but the benefit due to the ICS component appears small compared with that of the LABA component.11,12 Further, the use of ICS has been associated with local and systemic side effects, including skin thinning and easy bruising,12 oral candidiasis,12,13 increased risk of pneumonia,12–15 osteoporosis, early onset diabetes, cataracts,12 and tuberculosis.16 The GOLD 2014 strategy recommends the addition of a second bronchodilator in symptomatic patients with moderate airflow limitation, reserving the use of ICS, in addition to a maintenance therapy with a LABA, and/or a LABA and a LAMA, for patients with severe or very severe airflow limitation and/or two or more exacerbations per year.1 In line with GOLD, national guidelines such as those developed by NICE recommend ICS in addition to a LABA as first choice in patients with severe airflow limitation (forced expiratory volume in 1 second [FEV1] <50% of predicted) and recurrent exacerbations and/or breathlessness.2 However, there is evidence to suggest that treatment is not always prescribed according to GOLD recommendations or other national guidelines,9,17–22 resulting in a substantial proportion of patients being treated with ICS unnecessarily and unduly exposed to the risk of serious side effects. The objective of this study was to evaluate the current management of patients with COPD using real-life data generated in the UK primary-care setting. The study also includes a subset analysis of patients with moderate airflow limitation (FEV1 ≥50–<80% predicted) as defined by NICE 2010 guidelines, which corresponds to GOLD Stage 2.23 This population forms the majority of patients treated in primary care, and is therefore relevant in this analysis of prescribing patterns of UK general practitioners.

Methods

Data for patients with a diagnosis of COPD were extracted from the Optimum Patient Care Research Database (OPCRD) on May 20, 2013. Only data for patients with a COPD diagnosis (quality and outcomes framework diagnostic code),24 1 year of practice data prior to last data extraction and no leaving date, spirometry supportive of COPD diagnosis within 5 years of data extraction, and last data extraction date after 2009 were included in this retrospective analysis. Data from patients younger than 35 years at diagnosis were excluded. The OPCRD is a quality-controlled, longitudinal, primary-care, respiratory-focused database containing anonymous data from general practices in the UK. The OPCRD has been approved by Trent Multicentre Research Ethics Committee for clinical research use (approval reference 10/H0405/3). The database combines routine data from electronic patient records with linked patient-reported data collected using disease-specific questionnaires. Routine clinical data, including patient demographics, standard COPD comorbidities, exacerbation history, modified Medical Research Council (mMRC) score,1 and current therapy, were extracted from primary-care practice management systems. In addition, a proportion of patients with relevant disease codes were invited to complete validated disease assessment questionnaires, sent via a secure mailing house, containing questions to calculate COPD Assessment Test (CAT)25 and mMRC scores. Questionnaire data were added to the database anonymously. The mMRC questionnaire and CAT are provided in the supplementary materials (Figures S2 and S3). Data were analyzed according to GOLD group26 and presence or absence of a concomitant asthma diagnosis. In a subset of patients with moderate airflow limitation,2,23 data were also analyzed by exacerbation history (moderate and severe exacerbation rate), mMRC score, and CAT score. mMRC scores were taken both from routine data (ie, abstracted from the medical record) and patient questionnaires, with the most recent scores taking precedence. CAT scores were obtained from patient questionnaires. GOLD groups were calculated with mMRC rather than CAT scores, unless specified otherwise. Moderate and severe COPD exacerbations were defined as unscheduled hospital admission/emergency hospital attendance for COPD (definite code) or lower respiratory-related events (ie, with a lower respiratory read code), or lower respiratory illnesses treated with antibiotics and/or acute use of oral steroids. Exacerbation rates were calculated for the year prior to most recent data extraction. Events were considered to be the result of the same exacerbation and only counted once if any of the three elements (hospitalization, oral steroid prescription, or lower respiratory tract infection consultation) occurred within 2 weeks of another.

Results

Patient selection

Data from 50,582 patients with COPD were extracted from 339 practices. Among these patients, 24,957 (49.3%) met the inclusion criteria and were included in the analysis (Figure 1). Out of all the patients included in the analysis, 12,967 (52.0%) were sent questionnaires, which were returned by 6,088 patients (46.9%). The GOLD Stage 2 subset included 13,557 patients; 7,055 were sent a questionnaire, and 3,333 (47.2%) returned the questionnaire.
Figure 1

Patient selection.

Note: Data were extracted in May 2013.

Abbreviations: COPD, chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease; OPCRD, Optimum Patient Care Research Database; QOF, quality and outcomes framework.

Demographics

The mean age of the total COPD population was 71.4 years; the majority of patients were <75 years of age (59.7%), male (53.0%), and ex-smokers (56.2%) (Table 1). The distribution of patients according to GOLD stages was 15.8% in Stage 1, 54.3% in Stage 2, 24.6% in Stage 3, and 5.3% in Stage 4. Based on degree of airflow limitation, symptoms (mMRC score), and history of exacerbations, the 23,294 (93.3%) patients with known mMRC score were identified as being in GOLD Group A (39.2%), Group B (20.0%), Group C (19.0%), or Group D (21.7%). Of the patients in the high-risk groups, C and D, 57.6% and 59.2%, respectively, were categorized as high risk based on severity of airflow limitation and not exacerbation history. The use of CAT score to assess symptoms resulted in a different distribution, with 13.4%, 46.1%, 4.6%, and 35.9% of the 5,882 (23.6%) patients with known CAT score classified as Group A, B, C, or D, respectively. There were no major demographic differences across GOLD groups in terms of age, sex, and smoking status (Table 1). The prevalence of comorbidities was similar across GOLD groups, except for ischemic heart disease, which was more prevalent in patients in Groups B and D (Table 1). The combined percentage of overweight and obese patients was higher in Group B than in any other GOLD group.
Table 1

Patient demographics for the total COPD population split by GOLD group

Total COPD population(n=24,957)Unknown GOLD group(n=1,663)GOLD A(n=9,140)GOLD B(n=4,651)GOLD C(n=4,437)GOLD D(n=5,066)
Mean age,a years (SD)71.4 (10.7)69.7 (11.8)69.7 (10.6)74.1 (10.8)70.7 (10.1)73.1 (10.0)
 Age <603,352 (13.4)326 (19.6)1,540 (16.8)468 (10.1)567 (12.8)451 (8.9)
 Age ≥60–<7511,558 (46.3)745 (44.8)4,484 (49.1)1,801 (38.7)2,273 (51.2)2,255 (44.5)
 Age ≥7510,047 (40.3)592 (35.6)3,116 (34.1)2,382 (51.2)1,597 (36.0)2,360 (46.6)
Male, n (%)13,218 (53.0)812 (48.8)4,889 (53.5)2,249 (48.4)2,526 (56.9)2,742 (54.1)
GOLD stage (GOLD 2013), n (%)
 13,937 (15.8)414 (24.9)2,136 (23.4)888 (19.1)305 (6.9)194 (3.8)
 213,557 (54.3)827 (49.7)7,004 (76.6)3,763 (80.9)1,065 (24.0)898 (17.7)
 36,137 (24.6)338 (20.3)0 (0)0 (0)2,669 (60.2)3,130 (61.8)
 41,326 (5.3)84 (5.1)0 (0)0 (0)3,98 (9.0)844 (16.7)
Smoking status,b n (%)
 Known24,947 (100.0)1,663 (100)9,138 (100)4,651 (100)4,434 (99.9)5,061 (99.9)
 Current smoker7,608 (30.5)584 (35.1)3,034 (33.2)1,365 (29.3)1,345 (30.3)1,280 (25.3)
 Ex-smoker14,018 (56.2)797 (47.9)4,824 (52.8)2,691 (57.9)2,527 (57.0)3,179 (62.8)
 Nonsmoker3,321 (13.3)282 (17.0)1,280 (14.0)595 (12.8)562 (12.7)602 (11.9)
Body mass index,c n (%)
 Known24,646 (98.8)1,641 (98.7)9,054 (99.1)4,604 (99.0)4,365 (98.4)4,982 (98.3)
 Underweight1,061 (4.3)78 (4.8)245 (2.7)179 (3.9)220 (5.0)339 (6.8)
 Normal weight8,246 (33.5)543 (33.1)2,979 (32.9)1,260 (27.4)1,697 (38.9)1,767 (35.5)
 Overweight8,290 (33.6)547 (33.3)3,398 (37.5)1,420 (30.8)1,463 (33.5)1,462 (29.3)
 Obese7,049 (28.6)473 (28.8)2,432 (26.9)1,745 (37.9)985 (22.6)1,414 (28.4)
Comorbidities,d n (%)
 Anxiety or depression7,621 (30.5)573 (34.5)2,644 (28.9)1,607 (34.6)1,205 (27.2)1,592 (31.4)
 Asthma7,027 (28.2)536 (32.2)2,464 (27.0)1,262 (27.1)1,281 (28.9)1,484 (29.3)
 Diabetes4,592 (18.4)268 (16.1)1,545 (16.9)1,028 (22.1)764 (17.2)987 (19.5)
 Chronic kidney disease (stage ≥3)4,373 (17.5)264 (15.9)1,278 (14.0)1,165 (25.0)622 (14.0)1,044 (20.6)
 Ischemic heart disease4,114 (16.5)229 (13.8)1,145 (12.5)1,132 (24.3)572 (12.9)1,036 (20.5)
 Osteoporosis3,373 (13.5)208 (12.5)960 (10.5)761 (16.4)538 (12.1)906 (17.9)
 Rhinitis3,099 (12.4)230 (13.8)1,171 (12.8)521 (11.2)586 (13.2)591 (11.7)
 GERD2,781 (11.1)210 (12.6)1,005 (11.0)577 (12.4)450 (10.1)539 (10.6)
 Heart failure1,833 (7.3)86 (5.2)427 (4.7)546 (11.7)252 (5.7)522 (10.3)
History of pneumonia, n (%)2,102 (8.4)133 (8.0)568 (6.2)388 (8.3)409 (9.2)604 (11.9)

Notes: GOLD groups calculated based on mMRC score, FEV1, and history of exacerbations. For smoking status and body mass index, percentages were calculated based on the number of known patients, rather than all patients.

Age at extraction

recorded in OPCRD as nonsmoker, current smoker, or ex-smoker

recorded in OPCRD and calculated as mass (kg)/height (m2); underweight <18.5 kg/m2; normal weight between ≥18.5 and <25 kg/m2, overweight between ≥25 and <30 kg/m2, obese ≥30 kg/m2

all comorbidities defined as having a diagnostic code in patients’ medical history.

Abbreviations: COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 second; GERD, gastro-esophageal reflux disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified Medical Research Council; OPCRD, Optimum Patient Care Research Database; SD, standard deviation.

Demographic characteristics of patients with GOLD Stage 2 COPD were similar to those of patients in the total COPD population (Table 2). The mean age was 70.9 years and 52.2% of patients were male. The majority of patients (54.7%) were ex-smokers. The most frequently occurring comorbidities in patients with GOLD Stage 2 COPD were the same as in the total COPD population. Patients with known GOLD groups (n=12,730) were identified as being in Group A (55.0%), Group B (29.6%), Group C (8.4%), or Group D (7.1%) based on mMRC score. Patients (n=3,227) were classified as being in Group A (18.7%), Group B (67.2%), Group C (2.0%), or Group D (12.2%) when symptoms were assessed using CAT score.
Table 2

Patient demographics for the GOLD Stage 2 population split by GOLD group

GOLD Stage 2 population(n=13,557)GOLD A(n=7,004)GOLD B(n=3,763)GOLD C(n=1,065)GOLD D(n=898)
Mean age,a years (SD)70.9 (10.9)69.6 (10.5)73.8 (10.8)69.6 (10.2)72.0 (10.7)
 Age <601,988 (14.7)1,164 (16.6)387 (10.3)152 (14.3)108 (12.0)
 Age ≥60–<756,331 (46.7)3,482 (49.7)1,501 (39.9)569 (53.4)409 (45.5)
 Age ≥755,238 (38.6)2,358 (33.7)1,875 (49.8)344 (32.3)381 (42.4)
Male, n (%)7,082 (52.2)3,881 (55.4)1,890 (50.2)517 (48.5)381 (42.4)
Smoking status,b n (%)
 Known13,554 (100.0)7,003 (100.0)3,763 (100.0)1,064 (99.9)897 (99.9)
 Current smoker4,413 (32.6)2,361 (33.7)1,135 (30.2)355 (33.4)257 (28.7)
 Ex-smoker7,414 (54.7)3,744 (53.5)2,200 (58.5)570 (53.6)516 (57.5)
 Nonsmoker1,727 (12.7)898 (12.8)428 (11.4)139 (13.1)124 (13.8)
Body mass index,c n (%)
 Known13,412 (98.9)6,931 (99.0)3,720 (98.9)1,052 (98.8)888 (98.9)
 Underweight452 (3.4)188 (2.7)154 (4.1)40 (3.8)32 (3.6)
 Normal weight4,186 (31.2)2,265 (32.7)1,030 (27.7)345 (32.8)275 (31.0)
 Overweight4,628 (34.5)2,577 (37.2)1,153 (31.0)396 (37.6)230 (25.9)
 Obese4,146 (30.9)1,901 (27.4)1,383 (37.2)271 (25.8)351 (39.5)
Comorbidities,d n (%)
 Anxiety or depression4,254 (31.4)1,972 (28.2)1,279 (34.0)340 (31.9)391 (43.5)
 Asthma3,743 (27.6)1,840 (26.3)1,015 (27.0)326 (30.6)299 (33.3)
 Diabetes2,576 (19.0)1,224 (17.5)856 (22.7)163 (15.3)200 (22.3)
 Chronic kidney disease (stage ≥3)2,381 (17.6)969 (13.8)927 (24.6)164 (15.4)198 (22.0)
 Ischemic heart disease2,268 (16.7)894 (12.8)927 (24.6)130 (12.2)199 (22.2)
 Rhinitis1,754 (12.9)863 (12.3)413 (11.0)213 (20.0)144 (16.0)
 Osteoporosis1,700 (12.5)695 (9.9)580 (15.4)134 (12.6)206 (22.9)
 GERD1,536 (11.3)741 (10.6)437 (11.6)131 (12.3)131 (14.6)
 Heart failure965 (7.1)333 (4.8)448 (11.9)53 (5.0)89 (9.9)
History of pneumonia, n (%)1,089 (8.0)448 (6.4)318 (8.5)125 (11.7)139 (15.5)

Notes: GOLD groups calculated based on mMRC score, FEV1, and history of exacerbations. For smoking status and body mass index, percentages were calculated based on the number of known patients, rather than all patients.

Age at extraction

recorded in OPCRD as nonsmoker, current smoker, or ex-smoker

recorded in OPCRD and calculated as mass (kg)/height (m2); underweight <18.5 kg/m2, normal weight between ≥18.5 and <25 kg/m2, overweight between ≥25 and <30 kg/m2, obese ≥30 kg/m2

all comorbidities defined as having a diagnostic code in patients’ medical history.

Abbreviations: COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 second; GERD, gastro-esophageal reflux disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified Medical Research Council; OPCRD, Optimum Patient Care Research Database; SD, standard deviation.

Demographic characteristics of patients who were responders and nonresponders to the study questionnaires are illustrated in the supplementary materials (Table S1) for total COPD population and GOLD Stage 2 subset. Overall, patients who returned the questionnaire, as compared with those who did not, tended to be slightly older (72.4 versus 70.5 years) and were more likely to be male (56.1% versus 52.5%) and ex-smokers (61.7% versus 52.1%) but less likely to be current smokers (24.7% versus 33.8%); differences in GOLD group categorization were minor. A similar pattern was evident for patients categorized at GOLD Stage 2 who did, versus did not, return the questionnaire (Table S1).

Clinical characteristics

Of the patients in the total COPD population, 61.0% had no exacerbations and 16.9% had two or more moderate or severe exacerbations in the year prior to data extraction. The majority of patients with no exacerbations were in Group A (45.4%), while 25.9% of patients were classified as being in Groups C or D based on severity of airflow limitation (Figure 2). Of the patients with exacerbations in the year prior to data extraction, 57.2% were in Groups C or D.
Figure 2

Distribution of GOLD groups in patients without and with moderate and severe exacerbations in the year prior to data extraction for total COPD population (A) and GOLD Stage 2 subset (B).

Note: GOLD groups calculated without COPD Assessment Test score.

Abbreviations: COPD, chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease.

Patients with GOLD Stage 2 COPD displayed similar clinical characteristics to those in the overall cohort in terms of total exacerbation rate. In the GOLD Stage 2 subset, 62.4% of patients had no exacerbations and 15.4% had two or more moderate or severe exacerbations in the year prior to data extraction. Of the patients with no exacerbations, 62.3% were classified as being in Group A and 31.5% were classified as being in Group B. The majority of patients with exacerbations in the year prior to data extraction were in Group A (34.0%; Figure 2). However, 38.5% of patients were classified as being in Groups C or D and experienced two or more exacerbations in the year previous to data extraction, despite having moderate airflow limitation. In the total COPD population, among patients with a known mMRC score, the mean (standard deviation [SD]) mMRC score was 1.5 (1.0); 40.9% of patients had an mMRC score of 1 and 41.7% had a score ≥2. In the GOLD Stage 2 subset, among patients with a known mMRC score, the mean (SD) mMRC score was 1.3 (1.0); 43.7% of patients had an mMRC score of 1 and 36.6% had a score ≥2. Among patients who returned a questionnaire and had a known CAT score, the mean (SD) CAT score was 17.1 (9.0) in the total COPD population and 16.3 (8.9) in the GOLD Stage 2 subset. Of the patients with a known CAT score, 79.0% and 76.4% had a CAT score ≥10 in the total COPD population and in the GOLD Stage 2 subset, respectively.

Current management

A similar proportion of patients in the total COPD population (n=24,957) and GOLD Stage 2 subset (n=13,557) were not receiving pharmacologic treatment for COPD (17.0% and 17.7%, respectively; Figure 3A and B). Approximately 50% of patients in the total COPD population and GOLD Stage 2 subset were receiving ICS (Figure 3A and B), either in combination with a LABA (26.7% for both cohorts) or in combination with a LABA and a LAMA (23.2% and 19.9%, respectively). In both cohorts, ICS + LABA combinations were the most frequently used treatment in Groups A and B (Figure 3A and B). Of the total COPD population, 9.3% and 5.1% of Group A and B patients were receiving ICS + LABA. Of the patients with GOLD Stage 2 COPD, 13.5% and 7.6% of Group A and B patients, respectively, were given ICS + LABA. A small proportion of patients across all GOLD groups were using LABA or LAMA monotherapy in the total COPD population (1.8% and 7.9%, respectively) and GOLD Stage 2 subset (2.0% and 8.2%; Figure 3A and B).
Figure 3

Current management for total COPD population (A) and GOLD Stage 2 subset (B) by GOLD groups.

Notes: Percentages were calculated against the total number of patients in the COPD population (n=24,957) and GOLD Stage 2 subset (n=13,557). Other therapies include other combinations of ICS, LAMA, LABA, SAMA, SABA, LTRA, and theophylline.

Abbreviations: COPD, chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease; ICS, inhaled corticosteroids; LABA, long-acting β2-agonist; LAMA, long-acting muscarinic antagonist; LTRA, leukotriene receptor antagonist; SAMA, short-acting muscarinic antagonist; SABA, short-acting β2-agonist.

Current management was analyzed based on the presence or absence of a concomitant asthma diagnosis. Of the patients without a concomitant diagnosis of asthma in the total COPD population (n=17,930) and GOLD Stage 2 subset (n=9,814) 53.7% and 50.2%, respectively, were receiving ICS. Among ICS-containing regimens, ICS + LAMA, ICS + LABA, and ICS + LABA + LAMA were the most frequently used treatment options (total COPD population: 70.7%, 63.9%, and 68.1%, respectively; GOLD Stage 2 subset: 68.8%, 63.2%, and 67.5%, respectively; Figure 4A and B).
Figure 4

Current management by concomitant asthma diagnosis for total COPD population (A) and GOLD Stage 2 subset (B).

Note: Other therapies include other combinations of ICS, LAMA, LABA, SAMA, SABA, LTRA, and theophylline.

Abbreviations: COPD, chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease; ICS, inhaled corticosteroids; LABA, long-acting β2-agonist; LAMA, long-acting muscarinic antagonist; LTRA, leukotriene receptor antagonist; SAMA, short-acting muscarinic antagonist; SABA, short-acting β2-agonist.

GOLD Stage 2 subset analyses

Additional analyses were conducted in the GOLD Stage 2 subset. Figure 5 illustrates current management by moderate and severe exacerbation rate. Among patients who experienced no exacerbations (n=8,458) or one exacerbation (n=3,006) in the year prior to extraction, 49.0% and 64.1%, respectively, were receiving ICS, either alone or in combination with long-acting bronchodilators. Of those patients receiving no treatment, 87.3% experienced no exacerbations in the year prior to data extraction, while of those patients receiving triple therapy (ICS + LABA + LAMA or ICS + LABA + leukotriene receptor antagonist) or quadruple therapy (ICS + LABA + LAMA + leukotriene receptor antagonist), more than 50% experienced one or more exacerbations in the year prior to extraction (Figure 5).
Figure 5

Current management by moderate and severe exacerbation rate in the year prior to data extraction for the GOLD Stage 2 subset.

Note: Other therapies include other combinations of ICS, LAMA, LABA, SAMA, SABA, LTRA, and theophylline.

Abbreviations: GOLD, Global Initiative for Chronic Obstructive Lung Disease; ICS, inhaled corticosteroids; LABA, long-acting β2-agonist; LAMA, long-acting muscarinic antagonist; LTRA, leukotriene receptor antagonist; SAMA, short-acting muscarinic antagonist; SABA, short-acting β2-agonist.

Further, current management in the GOLD Stage 2 subset was analyzed based on mMRC and CAT scores to evaluate the proportion of patients experiencing symptoms while on treatment. An mMRC score ≥2 was recorded for 22.7% of patients receiving no treatment, 35.4% of patients receiving LAMA monotherapy, and 35.6% and 50.2% of patients receiving ICS + LABA and ICS + LABA + LAMA, respectively (Figure 6A). A CAT score ≥10 was recorded for 66.7% of patients receiving no treatment, 74.5% of patients on LAMA monotherapy, and 74.4% and 81.9% of patients receiving ICS + LABA and ICS + LABA + LAMA, respectively (Figure 6B).
Figure 6

Current management by mMRC score (A) and CAT score (B) for the GOLD Stage 2 subset.

Notes: mMRC scores are taken from the most recent routine data or questionnaire data to the extraction date. Other therapies include other combinations of ICS, LAMA, LABA, SAMA, SABA, LTRA, and theophylline.

Abbreviations: CAT, COPD Assessment Test; COPD, chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease; ICS, inhaled corticosteroids; LABA, long-acting β2-agonist; LAMA, long-acting muscarinic antagonist; mMRC, modified Medical Research Council; LTRA, leukotriene receptor antagonist; SAMA, short-acting muscarinic antagonist; SABA, short-acting β2-agonist.

Discussion

The present study, one of the largest to evaluate real-life treatment patterns of COPD in the UK, indicates that COPD is often not managed in primary care according to the most recent recommendations and guidelines. In our analysis, a substantial proportion of patients with COPD did not receive any treatment despite experiencing symptoms or a history of exacerbations. Among patients receiving treatment, ICS were prescribed to patients irrespective of severity of airflow limitation, exacerbation history, and asthma diagnosis. NICE recommends a LABA/ICS combination for patients with severe airflow limitation (FEV1 <50% predicted) and/or persistent exacerbations/breathlessness2 whereas the GOLD 2014 strategy document currently recommends LABA/ICS combinations for patients in Groups C and D.1 The only exception to these recommendations on the use of ICS is for patients with overlap phenotype of asthma and COPD, in whom ICS are indicated.9 Notably, a considerable proportion of patients in GOLD Groups A and B (mild-to-moderate airflow limitation and low risk of exacerbations) in the total COPD population, as well as in the GOLD Stage 2 subset, were using ICS in combination with long-acting bronchodilators; conversely, only a small proportion of these patients were treated exclusively with long-acting bronchodilators, either as mono- or combination therapy. Consistent with this finding, approximately half of the patients who had not experienced an exacerbation in the year prior to data extraction were receiving ICS. The majority of patients without a concomitant diagnosis of asthma were also being treated with ICS, suggesting that ICS were overprescribed. In the total COPD population, 17% of patients were not receiving pharmacologic treatment for COPD. This is greater than the proportion of adults diagnosed with diabetes who have been reported to not use recommended oral medications or insulin (approximately 13%),27 but is lower compared with other chronic diseases such as multiple sclerosis and hypertension in which between one-third and two-thirds of patients have been reported to receive no approved treatment for their conditions.28–31 Our findings are supported by several studies analyzing the adherence to recommendations and guidelines for the management of COPD. Recently, data from a retrospective study revealed that most patients with COPD use ICS, irrespective of airflow limitation and exacerbation rate.32 In addition, data from the Adelphi Respiratory Disease Specific Programme® (Adelphi, Macclesfield, UK), a multinational, cross-sectional market-research survey that generates data from current clinical practice, showed that a high proportion of low-risk patients are treated with a LABA/ICS.33 Studies in other European countries have also shown a tendency for ICS to be prescribed outside of current recommendations in COPD, indicating that poor adherence to treatment guidelines among primary-care physicians is widespread.9,20,22,34–37 Several factors can contribute to this disconnect between current real-life practice and evidence-based treatment recommendations. Two studies assessing the management of COPD in the US recently highlighted several barriers to implementing GOLD recommendations in primary care.38,39 One important barrier identified by Perez et al38 was poor familiarity with GOLD recommendations, which was found to be associated with nonadherence to specific recommendations on ICS and long-acting bronchodilators. Further, the study by Salinas et al39 found that physicians who have difficulty assessing response to therapy were less likely to adhere to recommendations on long-acting bronchodilator use. As suggested by the authors of the study, this may be because long-acting bronchodilators produce subtle but meaningful improvements, which can be difficult for physicians to recognize.39 Moreover, physicians may not recognize a benefit of therapy in individual patients who have infrequent exacerbations, as decreased frequency of exacerbations is an important measure of the efficacy of inhaled therapies. Indeed, in our study, 61% of the total population did not experience an exacerbation in the preceding year, including many patients classified as being in Groups C and D. This makes the assessment of treatment benefit difficult for all severities of COPD. Difficulties in distinguishing between asthma and COPD in adults with airways disease, or in establishing when these two conditions coexist, could also play an important role. The CADRE (COPD and asthma diagnostic/management reassessment) study among UK primary-care practices found a high rate of misdiagnosis among adults with airways disease, with a tendency to overdiagnose asthma and underdiagnose COPD.40 A high proportion of patients diagnosed with asthma (54.3%) and mixed disease (45.4%) had their diagnosis changed, with the majority of them diagnosed with COPD after review. These findings indicate a lack of precision in diagnosing the ‘chesty’ patient in primary care. Data from Spanish practices also confirm the difficulty of accurately diagnosing COPD in primary care. Primary-care physicians using clinical criteria and spirometry had difficulty reaching a diagnosis for up to 20% of patients with chronic respiratory symptoms who were taking inhaled medication.37 The misdiagnosis of respiratory disease may lead to inadequate treatment and overuse of ICS21,22,37 particularly for patients with COPD. The burden of symptoms reported by patients, which affects the physician-perceived severity of the disease, could also have a considerable impact on treatment choices. Physicians may evaluate disease as more or less severe based on their overall clinical judgment rather than guidelines. Physicians may, therefore, be more willing to prescribe treatments outside of recommendations when confronted by symptomatic patients, resulting in ICS being prescribed for reasons other than severity of airflow limitation or exacerbation risk. Indeed, a recent study of prescription drugs from UK general practices suggests that over 37% of COPD patients were overtreated (ie, according to GOLD 2009 recommendations) and, of those, 96% were overtreated with ICS.41 As shown by our data, a substantial proportion of GOLD Stage 2 patients in the UK are symptomatic on treatment, irrespective of their current management. In line with our findings, studies have suggested that many patients with moderate COPD may remain symptomatic despite LAMA monotherapy42–44 or LABA/ICS treatment.45 Interestingly, our analysis suggests that use of CAT, compared with mMRC, increased the number of patients in more symptomatic groups (Groups B and D), potentially because the CAT assessment considers not only dyspnea, but also other COPD symptoms and health status. This difference in GOLD group distribution depending on whether the mMRC score or CAT score is used highlights the difficulty facing primary-care physicians when making treatment decisions in real-life practice and illustrates how guidelines may only provide limited assistance. It is important to note that in some cases the discordance between the current treatment recommendations and real-life clinical practice may be because of individual patients’ needs and comorbidities. Indeed, the NICE guidelines state that, “Treatment and care should take into account patients’ needs and preferences.”2 In addition, our study provides a snapshot of current practice and may reflect therapy that has been long-standing and perceived as ‘effective’ by both the patient and physician. Thus, in some cases, depending on individual factors, it may be reasonable for patients to continue with existing therapy despite the updated treatment recommendations. The baseline demographic and disease characteristics of the patients analyzed in our study provide interesting insights. The prevalence of cigarette smoking (approximately 30% in both the total COPD population and GOLD Stage 2 subset) is rather high considering that smoking cessation is the single most important intervention for all COPD patients who continue to smoke and has the greatest capacity to influence the natural history of the disease.1 The prevalence of anxiety or depression was also approximately 30% in both study populations. This may be expected to influence treatment outcomes because depression, in particular, is associated with poor compliance and negatively impacts on smoking cessation.46 The proportion of patients with a history of pneumonia increased steadily from GOLD Groups A (6.2%) through D (11.9%), which is as expected and supports the reliability of GOLD Group categorization in the study. The majority of patients in Groups C and D were classified in these groups based on their severity of airflow limitation rather than exacerbation history, which is in accordance with the findings of other cohort studies.47 Although it is often reported that most COPD patients remain undiagnosed until their disease progresses to severe stages (FEV1 <50% predicted),48–50 in our study more than 50% of patients with spirometry-confirmed COPD had GOLD Stage 2 disease. This is consistent with other retrospective cohort studies in the UK. A recent analysis of a large database of primary-care COPD patients from 80 general practices across the UK showed that GOLD Stage 2 disease was present in 52% of patients.51 In an analysis of primary-and secondary-care data pooled from the OPCRD and the General Practice Research Database, 45% of patients with FEV1 data available had GOLD Stage 2 disease.52 The proportion of patients with a lesser degree of airflow obstruction at the time of COPD diagnosis increased over the 20-year study period, which may be due to increased use of diagnostic spirometry and recent COPD policy and practice guidance aimed to improve COPD diagnosis.52 Several study limitations must be considered when interpreting our results. As this is a retrospective analysis, it is not possible to conclude whether the treatment patterns are a response to symptoms or whether the symptoms show lack of response to treatment. Further, data on adherence have not been analyzed, so it cannot be established whether the presence of symptoms in patients on treatment is owing to inadequate disease control as a result of suboptimal treatment or poor adherence to prescribed medications, or both. The analyses using CAT scores were conducted in a subset of patients because, unlike mMRC scores that were determined from questionnaire data or patient records, CAT scores could only be calculated from patient questionnaires, which were not available for all patients. Potential differences between the characteristics of patients who returned questionnaires and those who did not cannot be discounted as a possible source of bias. In summary, this analysis of UK prescribing patterns indicates that COPD management choices do not usually follow GOLD recommendations and NICE guidelines, in particular those relating to the use of ICS and long-acting bronchodilators, which results in a substantial proportion of patients not being treated or not receiving the most appropriate medication. Further, it has been shown that many patients experience symptoms despite treatment. In light of the evidence provided by this analysis, evidence-based prescription of COPD therapies should be encouraged among UK primary-care physicians in order to limit the risks and costs associated with undertreatment and overtreatment and to improve patient outcomes. Model of symptom/risk evaluation of COPD. Notes: When assessing risk, choose the highest risk according to GOLD stage or exacerbation history (one or more hospitalizations for COPD exacerbations should be considered high risk). GOLD 1, 2, 3, and 4 correspond to mild (FEV1 ≥80% predicted), moderate (50% ≤ FEV1 <80% predicted), severe (30% ≤ FEV1 <50% predicted), and very severe (FEV1 <30% predicted) airflow limitation, respectively. Reproduced from the Global Strategy for Diagnosis, Management and Prevention of COPD 2014. Copyright © Global Initiative for Chronic Obstructive Lung Disease (GOLD), all rights reserved. Available from http://www.goldcopd.org.1 Abbreviations: CAT, COPD Assessment Test; COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 second; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified Medical Research Council. Modified Medical Research Council questionnaire for assessing the severity of breathlessness. Reproduced from the Global Strategy for Diagnosis, Management and Prevention of COPD 2014. Copyright © Global Initiative for Chronic Obstructive Lung Disease (GOLD), all rights reserved. Available from http://www.goldcopd.org.1 Abbreviation: mMRC, modified Medical Research Council. COPD Assessment Test. Notes: The COPD Assessment Test score is calculated as the sum of the responses present. If more than two responses are missing, a score cannot be calculated; when one or two items are missing their scores can be set to the average of the nonmissing item scores. Reproduced with permission. COPD Assessment Test and CAT logo is a trade mark of the GlaxoSmithKline group of companies. © 2009 GlaxoSmithKline group of companies. All rights reserved.2 Characteristics of patients with COPD who were responders or nonresponders to the study questionnaires Notes: GOLD groups calculated based on mMRC score, FEV1, and history of exacerbations. For GOLD groups, smoking status and body mass index percentages were calculated based on the number of known patients, rather than all patients. Age at extraction recorded in OPCRD as non-smoker, current smoker, or ex-smoker recorded in OPCRD and calculated as mass (kg)/height (m2); underweight <18.5 kg/m2, normal weight between ≥18.5 and <25 kg/m2, overweight between ≥25 and <30 kg/m2, obese ≥30 kg/m2 all comorbidities defined as having a diagnostic code in patients’ medical history. Abbreviations: COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 second; GERD, gastro-esophageal reflux disease; GOLD, Global initiative for chronic Obstructive Lung Disease; mMRC, modified Medical Research Council; N/A, not applicable; OPCRD, Optimum Patient Care Research Database; SD, standard deviation.
Table S1

Characteristics of patients with COPD who were responders or nonresponders to the study questionnaires

Questionnaire returned
No questionnaire returned (from patients who were sent questionnaires)
Total COPD population(n=6,088)GOLD Stage 2(n=3,333)Total COPD population(n=6,879)GOLD Stage 2(n=3,722)
Mean age,a years (SD)72.4 (9.7)72.0 (10.7)70.5 (11.4)70.0 (11.6)
 Age <60542 (8.9)325 (9.8)1,165 (16.9)698 (18.8)
 Age ≥60–<752,981 (49.0)1,639 (49.2)3,087 (44.9)1,672 (44.9)
 Age ≥752,565 (42.1)1,369 (41.1)2,627 (38.2)1,352 (36.3)
Male, n (%)3,416 (56.1)1,820 (54.6)3,610 (52.5)1,927 (51.1)
GOLD stage, n (%)
 1899 (14.8)N/A1,228 (17.9)N/A
 23,333 (54.7)N/A3,722 (54.1)N/A
 31,549 (25.4)N/A1,565 (22.8)N/A
 4307 (5.0)N/A364 (5.3)N/A
GOLD group (GOLD 2013), n (%)
 Unknown26 (0.4)15 (0.5)917 (13.3)446 (12.0)
 Known6,062 (99.6)3,318 (99.5)5,962 (86.7)3,276 (88.0)
 A2,317 (38.2)1,793 (54.0)2,487 (41.7)1,873 (57.2)
 B1,298 (21.4)1,054 (31.8)1,103 (18.5)877 (26.8)
 C1,085 (17.9)243 (7.3)1,169 (19.6)294 (9.0)
 D1,362 (22.5)228 (6.9)1,203 (20.2)232 (7.1)
Smoking status,b n (%)
 Unknown2 (<0.1)03 (<0.1)2 (<0.1)
 Known6,086 (100.0)3,333 (100.0)6,876 (100.0)3,720 (100.0)
 Current smoker1,505 (24.7)877 (26.3)2,321 (33.8)1,346 (36.2)
 Ex-smoker3,758 (61.7)2,002 (60.1)3,584 (52.1)1,878 (50.5)
 Nonsmoker823 (13.5)454 (13.6)971 (14.1)496 (13.3)
Body mass index,c n (%)
 Unknown55 (0.9)27 (0.8)156 (2.3)77 (2.1)
 Known6,033 (99.1)3,306 (99.2)6,723 (97.7)3,645 (97.9)
 Underweight234 (3.9)107 (3.2)290 (4.3)131 (3.6)
 Normal weight1,991 (33.0)1,024 (31.0)2,288 (34.0)1,161 (31.9)
 Overweight2,068 (34.3)1,146 (34.7)2,277 (33.9)1,268 (34.8)
 Obese1,740 (28.8)1,029 (31.1)1,868 (42.7)1,085 (29.8)
Comorbidities,d n (%)
 Anxiety or depression1,768 (29.0)982 (29.5)2,168 (31.5)1,196 (32.1)
 Asthma1,695 (27.8)915 (27.5)2,237 (32.5)1,178 (31.6)
 Diabetes1,049 (17.2)589 (17.7)1,250 (18.2)679 (18.2)
 Chronic kidney disease (Stage ≥3)1,054 (17.3)580 (17.4)1,129 (16.4)601 (16.1)
 Ischemic heart disease986 (16.2)541 (16.2)1,093 (15.9)617 (16.6)
 Rhinitis802 (13.2)475 (14.3)851 (12.4)472 (12.7)
 Osteoporosis793 (13.0)405 (12.2)834 (12.1)429 (11.5)
 GERD729 (12.0)401 (12.0)745 (10.8)400 (10.7)
 Heart failure465 (7.6)257 (7.7)506 (7.4)272 (7.3)
History of pneumonia517 (8.5)286 (8.6)610 (8.9)310 (8.3)

Notes: GOLD groups calculated based on mMRC score, FEV1, and history of exacerbations. For GOLD groups, smoking status and body mass index percentages were calculated based on the number of known patients, rather than all patients.

Age at extraction

recorded in OPCRD as non-smoker, current smoker, or ex-smoker

recorded in OPCRD and calculated as mass (kg)/height (m2); underweight <18.5 kg/m2, normal weight between ≥18.5 and <25 kg/m2, overweight between ≥25 and <30 kg/m2, obese ≥30 kg/m2

all comorbidities defined as having a diagnostic code in patients’ medical history.

Abbreviations: COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 second; GERD, gastro-esophageal reflux disease; GOLD, Global initiative for chronic Obstructive Lung Disease; mMRC, modified Medical Research Council; N/A, not applicable; OPCRD, Optimum Patient Care Research Database; SD, standard deviation.

  46 in total

1.  Adults with diagnosed and untreated diabetes: who are they? How can we reach them?

Authors:  Steven C Hill; G Edward Miller; Merrile Sing
Journal:  J Health Care Poor Underserved       Date:  2011-11

2.  Barriers to adherence to COPD guidelines among primary care providers.

Authors:  Xavier Perez; Juan P Wisnivesky; Linda Lurslurchachai; Lawrence C Kleinman; Ian M Kronish
Journal:  Respir Med       Date:  2011-10-13       Impact factor: 3.415

3.  Author's response to letter on number needed to treat in COPD: exacerbations versus pneumonias.

Authors:  Samy Suissa
Journal:  Thorax       Date:  2013-03-22       Impact factor: 9.139

4.  Inhaled corticosteroids in COPD: a case in favour.

Authors:  D S Postma; P Calverley
Journal:  Eur Respir J       Date:  2009-07       Impact factor: 16.671

5.  [COPD routine management in France: are guidelines used in clinical practice?].

Authors:  G Jebrak
Journal:  Rev Mal Respir       Date:  2009-12-30       Impact factor: 0.622

Review 6.  Combined corticosteroid and long-acting beta(2)-agonist in one inhaler versus long-acting beta(2)-agonists for chronic obstructive pulmonary disease.

Authors:  Luis Javier Nannini; Toby J Lasserson; Phillippa Poole
Journal:  Cochrane Database Syst Rev       Date:  2012-09-12

7.  Health outcomes following treatment for six months with once daily tiotropium compared with twice daily salmeterol in patients with COPD.

Authors:  V Brusasco; R Hodder; M Miravitlles; L Korducki; L Towse; S Kesten
Journal:  Thorax       Date:  2003-05       Impact factor: 9.139

8.  Analysis of NAMCS data for multiple sclerosis, 1998-2004.

Authors:  Jagannadha R Avasarala; Cormac A O'Donovan; Steve E Roach; Fabian Camacho; Steven R Feldman
Journal:  BMC Med       Date:  2007-04-05       Impact factor: 8.775

9.  A new approach to grading and treating COPD based on clinical phenotypes: summary of the Spanish COPD guidelines (GesEPOC).

Authors:  Marc Miravitlles; Juan José Soler-Cataluña; Myriam Calle; Jesús Molina; Pere Almagro; José Antonio Quintano; Juan Antonio Trigueros; Pascual Piñera; Adolfo Simón; Juan Antonio Riesco; Julio Ancochea; Joan B Soriano
Journal:  Prim Care Respir J       Date:  2013-03

10.  Overtreatment of COPD with inhaled corticosteroids--implications for safety and costs: cross-sectional observational study.

Authors:  Patrick White; Hannah Thornton; Hilary Pinnock; Sofia Georgopoulou; Helen P Booth
Journal:  PLoS One       Date:  2013-10-23       Impact factor: 3.240

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  113 in total

1.  Escalation and De-escalation of Therapy in COPD: Myths, Realities and Perspectives.

Authors:  Mario Cazzola; Paola Rogliani; Maria Gabriella Matera
Journal:  Drugs       Date:  2015-09       Impact factor: 9.546

Review 2.  Optimizing bronchodilation in the prevention of COPD exacerbations.

Authors:  Marc Miravitlles; Antonio Anzueto; José R Jardim
Journal:  Respir Res       Date:  2017-06-20

3.  GOLD Stage and Treatment in COPD: A 500 Patient Point Prevalence Study.

Authors:  Katherine A Safka; Joshua Wald; Hongyu Wang; Luke McIvor; Andrew McIvor
Journal:  Chronic Obstr Pulm Dis       Date:  2016-12-22

4.  Efficacy of Indacaterol/Glycopyrronium in Patients with COPD Who Have Increased Dyspnea with Daily Activities.

Authors:  Donald A Mahler; Dorothy L Keininger; Karen Mezzi; Robert Fogel; Donal Banerji
Journal:  Chronic Obstr Pulm Dis       Date:  2016-09-09

5.  Prescribing Pathways to Triple Therapy: A Retrospective Observational Study of Adults with Chronic Obstructive Pulmonary Disease in the UK.

Authors:  Jennifer K Quint; Alessandra Venerus; Caroline O'Leary; Melissa Myland; Ulf Holmgren; Precil Varghese; Claudia Cabrera
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-12-08

6.  Estimating the extent and economic impact of under and overdiagnosis of chronic obstructive pulmonary disease in primary care.

Authors:  Dionisios Spyratos; Diamantis Chloros; Dionisia Michalopoulou; Lazaros Sichletidis
Journal:  Chron Respir Dis       Date:  2016-03-10       Impact factor: 2.444

7.  Cost-effectiveness of indacaterol/glycopyrronium in comparison with salmeterol/fluticasone combination for patients with moderate-to-severe chronic obstructive pulmonary disease: a LANTERN population analysis from Singapore.

Authors:  Augustine Tee; Wai Leng Chow; Colin Burke; Basavarajaiah Guruprasad
Journal:  Singapore Med J       Date:  2018-03-16       Impact factor: 1.858

8.  A snapshot of chronic obstructive pulmonary disease management in general practice in Ireland.

Authors:  Liam O'Halloran; Amy Purcell; Eoin Ryan; Jane O'Doherty; Louise Troddyn; Martin Slepanek; Neil O'Driscoll; Orlaith O'Reilly; Paul Stassen; Sarah Anne Bennett; Raymond O'Connor
Journal:  Ir J Med Sci       Date:  2020-11-20       Impact factor: 1.568

9.  Effectiveness and Safety of COPD Maintenance Therapy with Tiotropium/Olodaterol versus LABA/ICS in a US Claims Database.

Authors:  Jennifer K Quint; Jukka Montonen; Daina B Esposito; Xintong He; Leslie Koerner; Laura Wallace; Alberto de la Hoz; Marc Miravitlles
Journal:  Adv Ther       Date:  2021-03-15       Impact factor: 3.845

10.  Phenotype and management of chronic obstructive pulmonary disease patients in general population in China: a nationally cross-sectional study.

Authors:  Heling Bao; Guohua Jia; Shu Cong; Wanlu Sun; Jing Fan; Ning Wang; Yajing Feng; Baohua Wang; Jeffrey L Curtis; Linhong Wang; Liwen Fang; Yahong Chen
Journal:  NPJ Prim Care Respir Med       Date:  2021-06-01       Impact factor: 2.871

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