Literature DB >> 32581622

Adequacy of Therapy for People with Both COPD and Heart Failure in the UK: Historical Cohort Study.

Konstantinos Kostikas1, Chin Kook Rhee2, John R Hurst3, Piergiuseppe Agostoni4,5, Hui Cao6, Robert Fogel6, Rupert Jones7, Janwillem W H Kocks8,9,10, Karen Mezzi1, Simon Wan Yau Ming8, Ronan Ryan8, David B Price8,11.   

Abstract

PURPOSE: Chronic obstructive pulmonary disease (COPD) and heart failure (HF) often occur concomitantly, presenting diagnostic and therapeutic challenges for clinicians. We examined the characteristics of patients prescribed adequate versus inadequate therapy within 3 months after newly diagnosed comorbid COPD or HF. PATIENTS AND METHODS: Eligible patients in longitudinal UK electronic medical record databases had pre-existing HF and newly diagnosed COPD (2017 GOLD groups B/C/D) or pre-existing COPD and newly diagnosed HF. Adequate COPD therapy was defined as long-acting bronchodilator(s) with/without inhaled corticosteroid; adequate HF therapy was defined as beta-blocker plus angiotensin-converting enzyme inhibitor and/or angiotensin receptor blocker.
RESULTS: Of 2439 patients with HF and newly diagnosed COPD (mean 75 years, 61% men), adequate COPD therapy was prescribed for 726 (30%) and inadequate for 1031 (42%); 682 (28%) remained untreated for COPD. Adequate (vs inadequate) COPD therapy was less likely for women (35%) than men (45%), smokers (36%) than ex-/non-smokers (45%), and non-obese (41%) than obese (47%); spirometry was recorded for 57% prescribed adequate versus 35% inadequate COPD therapy. Of 12,587 patients with COPD and newly diagnosed HF (mean 75 years, 60% men), adequate HF therapy was prescribed for 2251 (18%) and inadequate for 5332 (42%); 5004 (40%) remained untreated for HF. Adequate (vs inadequate) HF therapy was less likely for smokers (27%) than ex-/non-smokers (32%) and non-obese (30%) than obese (35%); spirometry was recorded for 65% prescribed adequate versus 39% inadequate HF therapy.
CONCLUSION: Many patients with comorbid COPD/HF receive inadequate therapy after new diagnosis. Improved equity of access to integrated care is needed for all patient subgroups.
© 2020 Kostikas et al.

Entities:  

Keywords:  beta-blocker; integrated care; long-acting bronchodilator; multimorbidity

Year:  2020        PMID: 32581622      PMCID: PMC7276330          DOI: 10.2147/POR.S250451

Source DB:  PubMed          Journal:  Pragmat Obs Res        ISSN: 1179-7266


Plain Language Summary

The ageing of populations globally has brought attention to the issue of multimorbidity as a common concern and area for prioritization of research. In older individuals, COPD and heart failure (HF) often occur concomitantly, presenting diagnostic and therapeutic challenges for clinicians. However, published guidance on the treatment of comorbid COPD and HF is sparse, as consensus guidelines focus on the treatment of individual conditions. We used well-managed, longitudinal medical record databases in the UK to examine the demographic and clinical characteristics of patients prescribed adequate versus inadequate therapy within 3 months after newly diagnosed comorbid COPD or HF. We observed low levels of guidelines-recommended prescribing for therapy of new COPD and new HF diagnoses among patients with comorbid COPD and HF. Only one-third (30%) of patients in the HF-new COPD cohort were prescribed adequate COPD therapy within 3 months of the COPD diagnosis, and less than one-fifth (18%) of patients in the COPD-new HF cohort were prescribed adequate HF therapy within 3 months of the HF diagnosis. Patients most likely to be prescribed inadequate COPD therapy included women, current smokers, and non-obese patients, and those most likely to be prescribed inadequate HF therapy included current smokers and non-obese patients. Further work is needed to understand the reasons for under-prescribing and to address them. In addition, readily accessible clinical guidance is needed that addresses not only the diagnosis but the care of patients with comorbid COPD and HF. Finally, improved equity of access to integrated care for all patient subgroups with comorbid COPD and HF is needed, particularly for women, smokers, and non-obese patients.

Introduction

The ageing of populations globally has brought attention to the issue of multiple morbidities as a common concern and area for prioritization of research.1–3 In older individuals, chronic obstructive pulmonary disease (COPD) and heart failure (HF) often occur concomitantly.4,5 The reported prevalence of HF in patients with COPD ranges from 20% to 70%,4 with 2.6 times greater odds of HF in patients with COPD versus without COPD calculated in a recent meta-analysis,6 and the presence of COPD is a significant risk factor for HF, with relative risks ranging from 1.5 to 6.8, depending on age, reported in a large population-based study in the UK.7 The reported prevalence of COPD in patients with HF ranges from 9% to 52%.8 Patients with comorbid COPD and HF have a worse long-term prognosis than those with either condition alone.9 The presence of COPD is a predictor of hospitalization and death from cardiovascular events,10–13 while the presence of HF increases the risk of death in patients with COPD.14,15 However, patients with comorbid COPD and HF present both diagnostic and therapeutic challenges for clinicians. Overlapping signs and symptoms and similar risk factors, such as smoking, older age, and inactivity, contribute to the diagnostic challenge,16–18 particularly as both COPD and HF cause breathlessness.19 The focus of published guidelines and management recommendations tends to be on single conditions, thus on either COPD or HF, rather than on the optimal management of comorbid COPD and HF, although the need to treat comorbidities on their merit is increasingly acknowledged.4,18,20–23 For example, the Global initiative for chronic Obstructive Lung Disease (GOLD) strategy documents since 2011 have noted that there is no evidence either to treat HF differently for patients with comorbid COPD nor to treat COPD differently in the presence of HF.4 Similarly, according to the European Society of Cardiology guidelines since 2008, beta-blockers are not contraindicated for HF in patients with COPD, although cardioselective beta-blockers are recommended over nonselective beta-blockers.23,24 Nonetheless, in light of the opposing pharmacological effects of beta-blockers and beta-agonists, there are concerns that health-care providers may be reluctant to prescribe long-acting bronchodilators (LABD), in particular long-acting beta-agonists (LABAs), to treat COPD for patients with comorbid HF.16 Also, there is evidence that health-care providers are reluctant to prescribe beta-blockers to treat HF in patients with comorbid COPD.25,26 Many gaps remain in our understanding of the optimal management of patients with comorbid COPD and HF,9 and a better understanding of real-life treatment and factors affecting treatment adequacy for these patients is needed. As part of a broader program to look at current treatment and outcomes for patients with comorbid COPD and HF, our objectives in this historical cohort study were to describe and contrast the demographic and clinical characteristics of 1) patients with pre-existing HF and a new diagnosis of COPD who were prescribed adequate versus inadequate COPD therapy and 2) patients with pre-existing COPD and a new diagnosis of HF who were prescribed adequate versus inadequate HF therapy according to guidelines.

Methods

Data Sources

We used two large, well-established UK databases containing anonymized, longitudinal medical record data for this study: the Clinical Practice Research Datalink (CPRD)27 and the Optimum Patient Care Research Database (OPCRD).28 Both databases contain long-term electronic medical record (EMR) data and are frequently used for pharmacoepidemiological research. The CPRD is a computerized primary care database containing de-identified, longitudinal data from more than 600 subscribing general practices throughout the UK, representing about 5 million patients with active medical records or 7% of the UK population.27 A practice-based quality marker, the “up-to-standard date,” is generated by the CPRD for each subscribing practice, and data after the practice up-to-standard date are considered to be acceptable, research quality, prospectively recorded data. The CPRD is a governmental, not-for-profit research service, jointly funded by the NHS National Institute for Health Research (NIHR) and the Medicines and Healthcare products Regulatory Agency (MHRA), a part of the Department of Health. The OPCRD comprises data captured for clinical service evaluation by Optimum Patient Care, a not-for-profit organization that offers free respiratory clinical evaluations with the aim of improving patient outcomes through medical research and services, providing evidence-based recommendations to UK general practices through bespoke software and practice reports.28 At the time of the study, the OPCRD included anonymous, longitudinal medical records for over 2.8 million patients from more than 550 primary care practices across the UK. The use of the OPCRD for research purposes has approval from the NHS Health Research Authority and is governed by the Anonymous Data Ethics Protocols and Transparency (ADEPT) committee, the independent scientific advisory committee for the OPCRD. The CPRD and OPCRD datasets used in this study were first constructed separately, and then, because a small number of family practices contribute data to both databases, we excluded duplicate patients by checking for overlap in key demographics (such as year of birth and sex), blood test results, and test dates before pooling for the analyses, as previously described.29 The study was registered with The European Union electronic Register of Post-Authorisation Studies (EUPAS12987)30 and was conducted according to recommended procedures for observational research.31,32 Research governance approval was obtained from each database for this study (CPRD ISAC reference number 16_039 and ADEPT Approval Reference PROTOCOL1116). Patient data remained anonymized throughout the analyses.

Data Statement

The datasets supporting the conclusions of this article were derived from the Clinical Practice Datalink () and the Optimum Patient Care Research Database (). We do not have permission to give public access to these datasets; however, researchers may request access for their own purposes.

Study Design and Patients

We conducted two descriptive cohort analyses drawing on mutually exclusive, combined datasets drawn from the CPRD and OPCRD. The first analysis examined and compared the characteristics of patients with pre-existing HF and a new COPD diagnosis who were prescribed adequate versus inadequate COPD therapy within the first 3 months after the COPD diagnosis. The second analysis examined and compared the characteristics of patients with pre-existing COPD and a new HF diagnosis who were prescribed adequate versus inadequate HF therapy within the first 3 months after the HF diagnosis. The study period was 1988 through May 2015, and the “index date” was defined as 3 months after the new COPD or new HF diagnosis. To be eligible for this study, patients had to have a diagnosis of HF recorded at any time followed by a new COPD diagnosis recorded at any time after the first HF diagnosis (HF-new COPD cohort) or the converse, namely, a recorded COPD diagnosis followed by a new HF diagnosis (COPD-new HF cohort). The diagnoses of COPD and HF were identified by recorded diagnostic Read codes, the coding system used by the UK National Health Service (NHS),33 as specified by the NHS Quality and Outcomes Framework (QOF), which provides incentives for key measures to be recorded in primary care EMRs.34,35 The inclusion of COPD as a clinical area was effected at the time of QOF implementation in 2004/2005, and HF entered QOF in 2006/2007. To be eligible, patients were 40 years or older at 3 months after the new diagnosis (COPD or HF, respectively, depending on the cohort). We required that they had continuous, recorded practice data during a total of 2 years plus 3 months, including a baseline year beginning 1 year before the new COPD or new HF diagnosis and an outcome year beginning 3 months after the new COPD diagnosis or new HF diagnosis, respectively. Patients who died during the outcome year were not excluded. Patients in the HF-new COPD cohort were limited to those with COPD designated as GOLD group B, C, or D (2017 criteria36). The GOLD group was determined using exacerbation and mMRC data recorded closest to and within 5 years before or after the index date. We excluded patients in GOLD group A because their symptoms can be mild enough such that minimal therapy is required and adequacy of therapy could be difficult to judge. In addition, patients were excluded if they had any prior asthma, resolved asthma, or other chronic respiratory diagnoses before the COPD diagnosis. Because the actual date of a diagnosis may occur slightly earlier than when first recorded, the date of COPD diagnosis was set to the first prescription of an LABD if that prescription was in the month preceding the first COPD Read code. It was not possible to use a similar definition for HF because of the lack of a HF-specific drug; however, patients in the COPD-new HF cohort had to have recorded evidence of COPD or HF therapy.

Endpoint Definitions

Patients were assigned to an adequate, inadequate, or no-therapy group based on primary care prescribing within the first 3 months after the new diagnosis. We then compared the demographic and clinical characteristics of patients who were prescribed adequate versus inadequate therapy for a new COPD diagnosis (HF-new COPD cohort) or for a new HF diagnosis (COPD-new HF cohort). Adequate therapy for COPD in GOLD groups B, C, and D was defined as one or more prescriptions for an LABD, including a LABA, a long-acting muscarinic antagonist (LAMA), or LABA plus LAMA, with or without ICS, while inadequate therapy for COPD was defined as prescription(s) for only short-acting bronchodilators (SABDs).5,20,36 No COPD therapy was defined as no SABD or LABD prescription. For HF, adequate therapy was defined as one or more prescriptions for a beta-blocker plus an angiotensin-converting enzyme (ACE) inhibitor and/or an angiotensin receptor blocker (ARB).21–23 Inadequate therapy for HF was defined as an ARB plus ACE inhibitor (no beta-blocker) or monotherapy with a beta-blocker, ARB, or ACE inhibitor. No therapy was defined as no recorded prescription for any of these three drug classes.

Statistical Analyses

We conducted descriptive analyses of patient demographics, comorbidities, and indicators of disease severity, summarizing categorical data as number (percentage) and continuous and count data as mean (SD) or median (interquartile range [IQR]), as appropriate. For baseline variables with missing data, the percentages of patients with available data were noted. Baseline demographic and clinical characteristics of patients prescribed adequate versus inadequate COPD therapy after a new COPD diagnosis (with pre-existing HF) were tabulated together, and demographic and clinical characteristics of those prescribed adequate versus inadequate HF therapy after a new HF diagnosis (with pre-existing COPD) were tabulated together. Comparisons between adequate and inadequate therapy groups were made using the Mann–Whitney U-test or χ2, as appropriate, with p-values. Analyses were performed using SAS version 9.3 (SAS Institute, Cary, NC).

Results

Pre-Existing HF and New Diagnosis of COPD: Adequate versus Inadequate COPD Therapy

A total of 2439 eligible patients with pre-existing HF and a new COPD diagnosis (GOLD groups B, C, or D) were identified from the CPRD and OPCRD (Figure 1). Overall, the mean patient age was 75 years, and 61% of patients were male. By the end of 3 months after the new COPD diagnosis (the index date), 726 patients (30%) had been prescribed adequate therapy for COPD, as per the study definition of prescription(s) for LABD(s) ± ICS; 1031 patients (42%) were inadequately treated (prescribed only SABDs); and 682 patients (28%) remained untreated (no SABD or LABD prescription).
Figure 1

Flow chart depicting selection of patients with heart failure and new COPD diagnosis.

Abbreviations: CPRD, Clinical Practice Research Datalink; GOLD, Global initiative for chronic Obstructive Lung Disease; LABD, long-acting bronchodilator; OPCRD, Optimum Patient Care Research Database.

Flow chart depicting selection of patients with heart failure and new COPD diagnosis. Abbreviations: CPRD, Clinical Practice Research Datalink; GOLD, Global initiative for chronic Obstructive Lung Disease; LABD, long-acting bronchodilator; OPCRD, Optimum Patient Care Research Database. The mean patient age was 75 years in both adequate and inadequate therapy groups, and approximately half of patients in each group were identified as having COPD in GOLD group B, one-third in GOLD C, and one-fifth in GOLD D (Table 1). In the side-by-side comparison between adequate and inadequate therapy groups (Figure 2), the subgroups of patients who were proportionately less likely to be prescribed adequate COPD therapy included women (35% prescribed adequate COPD therapy vs 45% of men), current smokers (36% vs 46% and 43% of ex- and non-smokers, respectively), and non-obese patients (41% vs 47% of obese patients). In addition, of the patients prescribed adequate therapy for new COPD, 57% had recorded spirometry, while of those prescribed inadequate therapy for new COPD, only 35% had recorded spirometry. Of the patients with severe breathlessness (mMRC score of 3 or 4), 46% (232/504) were prescribed adequate COPD therapy as compared with 39% (494/1253) of those with mMRC score of 0–2 (Table 1). The median year of the index date was earlier for patients prescribed inadequate COPD therapy (2004 vs 2009 for adequate therapy).
Table 1

Demographic and Clinical Characteristics of Patients with Pre-Existing Heart Failure (HF) Who Were Prescribed Adequate versus Inadequate COPD Therapy Within 3 Months of a New COPD Diagnosis (HF-New COPD Cohort)

VariableAdequate COPD Therapy (n = 726)Inadequate COPD Therapy (n = 1031)p-Value
Age, mean (SD)74.8 (9.0)75.4 (8.6)0.35
 40–<70 years190 (26.2)243 (23.6)0.23
 ≥70 years536 (73.8)788 (76.4)
Index date year, median (IQR)2009 (2007–2012)2004 (2000–2008)n/a
Smoking status data availablea,b719 (99.0)979 (95.0)
Body mass index data availablea718 (98.9)937 (90.9)
CCI score, median (IQR)7 (4–17)7 (4–17)0.012
mMRC score data availablea,c726 (100)1031 (100)
 mMRC score of 0 (n=50)28 (56.0)22 (44.0)<0.001
 mMRC score of 1 (n=537)182 (33.9)355 (66.1)
 mMRC score of 2 (n=666)284 (42.6)382 (57.4)
 mMRC score of 3 (n=395)187 (47.3)208 (52.7)
 mMRC score of 4 (n=109)45 (41.3)64 (58.7)
2017 GOLD group data availabled726 (100)1031 (100)
 GOLD B373 (51.4)507 (49.2)<0.001
 GOLD C210 (28.9)377 (36.6)
 GOLD D143 (19.7)147 (14.3)
FEV1 data availablee416 (57.3)358 (34.7)<0.001
 Median %predicted (IQR)56 (43–68)60 (48–70)<0.001
GERD dx/tx in pre-index year314 (43.3)319 (30.9)<0.001
IHD diagnosis ever prior536 (73.8)737 (71.5)0.28
Diabetes dx/tx in pre-index year154 (21.2)174 (16.9)0.022
Hypertension diagnosis ever prior444 (61.2)485 (47.0)<0.001
Chronic renal disease diagnosis303 (41.7)213 (20.7)<0.001
Concomitant diuretic script(s), yes590 (81.3)850 (82.4)0.528
NYHA classification/proxy availablef409 (56.3)368 (35.7)
 NYHA Class I83 (20.3)62 (16.8)0.28
 NYHA Class II165 (40.3)167 (45.4)
 NYHA Class III131 (32.0)120 (32.6)
 NYHA Class IV30 (7.3)19 (5.2)

Notes: Data are presented as n (%) unless otherwise indicated. Comparisons made using χ2 test for categorical values and Mann–Whitney U-test for continuous or count variables. aPatient percentages for mMRC are presented as row percentages; the other variables are calculated using column percentages. bSmoking status was determined using the Read code closest to and <5 years before the index date (3 months after new COPD diagnosis). cmMRC score was defined as the Read code recorded closest to and <5 years before (or otherwise <5 years after) the index date. dGOLD group was calculated using exacerbation and mMRC data recorded closest to and within 5 years before or after the index date (2017 criteria36). eFEV1 determined closest to and within 5 years before the index date. fNYHA classification determined by Read code closest to and within 5 years before the index date. NYHA data were limited in primary care medical records so breathlessness Read codes were used as proxies for NYHA class.

Abbreviations: CCI, Charlson comorbidity index; GERD, gastroesophageal reflux disease; GOLD, Global initiative for chronic Obstructive Lung Disease; IHD, ischemic heart disease; IQR, interquartile range; mMRC, modified Medical Research Council dyspnea scale; n/a, not available; NYHA, New York Heart Association; script, prescription.

Figure 2

Sex, smoking status, and body mass index categories of patients with pre-existing heart failure (HF) who were prescribed adequate versus inadequate COPD therapy within 3 months of a new COPD diagnosis (HF-new COPD cohort). χ2 test p≤0.001 for comparisons between women and men and among smoking status categories; p=0.016 for comparisons between BMI categories. Smoking status was determined using the Read code closest to and <5 years before the index date (3 months after new COPD diagnosis).

Demographic and Clinical Characteristics of Patients with Pre-Existing Heart Failure (HF) Who Were Prescribed Adequate versus Inadequate COPD Therapy Within 3 Months of a New COPD Diagnosis (HF-New COPD Cohort) Notes: Data are presented as n (%) unless otherwise indicated. Comparisons made using χ2 test for categorical values and Mann–Whitney U-test for continuous or count variables. aPatient percentages for mMRC are presented as row percentages; the other variables are calculated using column percentages. bSmoking status was determined using the Read code closest to and <5 years before the index date (3 months after new COPD diagnosis). cmMRC score was defined as the Read code recorded closest to and <5 years before (or otherwise <5 years after) the index date. dGOLD group was calculated using exacerbation and mMRC data recorded closest to and within 5 years before or after the index date (2017 criteria36). eFEV1 determined closest to and within 5 years before the index date. fNYHA classification determined by Read code closest to and within 5 years before the index date. NYHA data were limited in primary care medical records so breathlessness Read codes were used as proxies for NYHA class. Abbreviations: CCI, Charlson comorbidity index; GERD, gastroesophageal reflux disease; GOLD, Global initiative for chronic Obstructive Lung Disease; IHD, ischemic heart disease; IQR, interquartile range; mMRC, modified Medical Research Council dyspnea scale; n/a, not available; NYHA, New York Heart Association; script, prescription. Sex, smoking status, and body mass index categories of patients with pre-existing heart failure (HF) who were prescribed adequate versus inadequate COPD therapy within 3 months of a new COPD diagnosis (HF-new COPD cohort). χ2 test p≤0.001 for comparisons between women and men and among smoking status categories; p=0.016 for comparisons between BMI categories. Smoking status was determined using the Read code closest to and <5 years before the index date (3 months after new COPD diagnosis). A higher percentage of patients had other common comorbidities in the adequate therapy group as compared with the inadequate therapy group (Table 1).

Pre-Existing COPD and New Diagnosis of HF: Adequate versus Inadequate HF Therapy

A total of 12,587 eligible patients with pre-existing COPD and new HF diagnosis were identified (Figure 3). Overall baseline patient characteristics were similar to those of the patients with pre-existing HF and new COPD diagnosis: the mean age was 75 years, and 60% were male. At the end of 3 months after the new HF diagnosis, 2251 (18%) were prescribed adequate therapy for HF, as per the study definition of prescription(s) for a beta-blocker plus an ACE inhibitor and/or an ARB; 5332 patients (42%) were prescribed inadequate therapy (any other combination of these drug classes); and 5004 patients (40%) remained untreated.
Figure 3

Flow chart depicting selection of patients with COPD and new heart failure diagnosis.

Abbreviations: CPRD, Clinical Practice Research Datalink; GOLD, Global initiative for chronic Obstructive Lung Disease; LABD, long-acting bronchodilator; OPCRD, Optimum Patient Care Research Database.

Flow chart depicting selection of patients with COPD and new heart failure diagnosis. Abbreviations: CPRD, Clinical Practice Research Datalink; GOLD, Global initiative for chronic Obstructive Lung Disease; LABD, long-acting bronchodilator; OPCRD, Optimum Patient Care Research Database. There were differences in sex ratios and mean ages of patients in adequate versus inadequate therapy groups; however, these differences were not numerically large, with mean ages 73.3 versus 74.5 years, respectively, and as 28% of women and 31% of men received adequate HF therapy. Other differences between adequate versus inadequate HF therapy groups were numerically larger (Table 2). For example, 27% of current smokers versus 32% of ex-smokers and 32% of non-smokers, and 30% of non-obese versus 35% of obese patients were prescribed adequate HF therapy (Figure 4).Of those prescribed adequate HF therapy, 65% had recorded spirometry versus only 39% of those receiving inadequate therapy for new HF diagnosis. Of the patients with severe breathlessness (mMRC score of 3 or 4), 34% (377/1123) were prescribed adequate HF therapy as compared with 35% (1580/4480) with an mMRC score of 0–2. As for the HF-new COPD cohort, the median year of the index date was earlier for patients prescribed inadequate HF therapy (2004 vs 2010 for adequate therapy).
Table 2

Demographic and Clinical Characteristics of Patients with Pre-Existing COPD Who Were Prescribed Adequate versus Inadequate Heart Failure (HF) Therapy Within 3 Months of a New HF Diagnosis (COPD-New HF Cohort)

VariableAdequate HF Therapy (n = 2251)Inadequate HF Therapy (n = 5332)p-Value
Age, mean (SD)73.3 (9.0)74.5 (8.7)<0.001
 40 – <70 years753 (33.5)1444 (27.1)<0.001
 ≥70 years1498 (66.5)3888 (72.9)
Index date year, median (IQR)2010 (2006–2012)2004 (2000–2008)n/a
Smoking status data availablea,b2192 (97.4)4925 (92.4)
Body mass index data availablea2199 (97.7)4773 (89.5)
CCI score, median (IQR)13 (13–18)13 (13–17)<0.001
mMRC score data availablea,c1957 (86.9)3646 (68.4)
 mMRC score of 0 (n=332)183 (55.1)149 (44.9)<0.001
 mMRC score of 1 (n=2840)882 (31.1)1958 (68.9)
 mMRC score of 2 (n=1308)515 (39.4)793 (60.6)
 mMRC score of 3 (n=861)302 (35.1)559 (64.9)
 mMRC score of 4 (n=262)75 (28.6)187 (71.4)
2017 GOLD group data availabled1957 (86.9)3646 (68.4)0.002
 GOLD A700 (35.8)1299 (35.6)
 GOLD B579 (29.6)937 (25.7)
 GOLD C365 (18.7)808 (22.2)
 GOLD D313 (16.0)602 (16.5)
FEV1 data availablee1470 (65.3)2087 (39.1)<0.001
 Median %predicted (IQR)59 (46–71)54 (41–67)<0.001
GERD dx/tx in pre-index year999 (44.4)1638 (30.7)<0.001
IHD diagnosis ever prior1654 (73.5)3285 (61.6)<0.001
Diabetes dx/tx in pre-index year458 (20.3)785 (14.7)<0.001
Hypertension diagnosis ever prior1354 (60.2)2570 (48.2)<0.001
Chronic renal disease diagnosis685 (30.4)824 (15.5)<0.001
Concomitant diuretic script(s)1598 (71.0)4013 (75.3)<0.001
NYHA classification/proxy availablef1334 (59.3)1562 (29.3)
 NYHA Class I537 (40.3)452 (28.9)<0.001
 NYHA Class II447 (33.5)530 (33.9)
 NYHA Class III299 (22.4)479 (30.7)
 NYHA Class IV51 (3.8)101 (6.5)

Notes: Data are presented as n (%) unless otherwise indicated. Comparisons made using χ2 test for categorical values and Mann–Whitney U-test for continuous or count variables. aPatient percentages for mMRC are presented as row percentages; the other variables are calculated using column percentages. bSmoking status was determined using the Read code closest to and <5 years before the index date (3 months after new HF diagnosis). cmMRC score was defined as the Read code recorded closest to and <5 years before (or otherwise <5 years after) the index date. dGOLD group was calculated using exacerbation and mMRC data recorded closest to and within 5 years before or after the index date (2017 criteria36). eFEV1 determined closest to and within 5 years before the index date. fNYHA classification determined by Read code closest to and within 5 years before the index date. NYHA data were limited in primary care medical records so breathlessness Read codes were used as proxies for NYHA class.

Abbreviations: CCI, Charlson comorbidity index; GERD, gastroesophageal reflux disease; GOLD, Global initiative for chronic Obstructive Lung Disease; IHD, ischemic heart disease; IQR, interquartile range; mMRC, modified Medical Research Council dyspnea scale; n/a, not available; NYHA, New York Heart Association; script, prescription.

Figure 4

Sex, smoking status, and body mass index categories of patients with pre-existing COPD who were prescribed adequate versus inadequate heart failure (HF) therapy within 3 months of a new HF diagnosis (COPD-new HF cohort). χ2 test p=0.003 for comparisons between women and men; p<0.001 for comparisons among smoking status categories and between BMI categories.

Demographic and Clinical Characteristics of Patients with Pre-Existing COPD Who Were Prescribed Adequate versus Inadequate Heart Failure (HF) Therapy Within 3 Months of a New HF Diagnosis (COPD-New HF Cohort) Notes: Data are presented as n (%) unless otherwise indicated. Comparisons made using χ2 test for categorical values and Mann–Whitney U-test for continuous or count variables. aPatient percentages for mMRC are presented as row percentages; the other variables are calculated using column percentages. bSmoking status was determined using the Read code closest to and <5 years before the index date (3 months after new HF diagnosis). cmMRC score was defined as the Read code recorded closest to and <5 years before (or otherwise <5 years after) the index date. dGOLD group was calculated using exacerbation and mMRC data recorded closest to and within 5 years before or after the index date (2017 criteria36). eFEV1 determined closest to and within 5 years before the index date. fNYHA classification determined by Read code closest to and within 5 years before the index date. NYHA data were limited in primary care medical records so breathlessness Read codes were used as proxies for NYHA class. Abbreviations: CCI, Charlson comorbidity index; GERD, gastroesophageal reflux disease; GOLD, Global initiative for chronic Obstructive Lung Disease; IHD, ischemic heart disease; IQR, interquartile range; mMRC, modified Medical Research Council dyspnea scale; n/a, not available; NYHA, New York Heart Association; script, prescription. Sex, smoking status, and body mass index categories of patients with pre-existing COPD who were prescribed adequate versus inadequate heart failure (HF) therapy within 3 months of a new HF diagnosis (COPD-new HF cohort). χ2 test p=0.003 for comparisons between women and men; p<0.001 for comparisons among smoking status categories and between BMI categories. Also, similar to the HF-new COPD cohort, among patients with COPD and newly diagnosed HF, other common comorbidities were more frequent in the adequate therapy group as compared with the inadequate therapy group (Table 2).

Discussion

We identified low levels of guidelines-recommended prescribing for therapy of new COPD and new HF diagnoses among UK patients with comorbid COPD and HF in this historical cohort study. Only one-third (30%) of patients in the HF-new COPD cohort were prescribed adequate COPD therapy within 3 months of the COPD diagnosis, and less than one-fifth (18%) of patients in the COPD-new HF cohort were prescribed adequate HF therapy within 3 months of the HF diagnosis. Women, current smokers, and non-obese patients were proportionately less likely to be prescribed adequate COPD therapy, whilst current smokers and non-obese patients were less likely to receive adequate HF therapy. We broadly defined adequate therapy for COPD (excluding GOLD group A) as prescription(s) for LABD(s) with or without ICS, per GOLD guidelines.4,5 In a prior study of COPD prescribing (comorbid HF not assessed), factors that influenced the initial prescription in COPD were comorbid asthma, exacerbation history, symptoms, and lung function.37 Breathlessness is a common finding in patients even with stable HF and COPD,19 and the presence of dyspnea may encourage prescribing of bronchodilators. However, the fact that some patient subgroups with newly diagnosed COPD and pre-existing HF (eg, women, current smokers, non-obese patients) were less likely to be prescribed adequate COPD therapy in the form of LABDs suggests a need to focus clinical education on COPD therapy for these subgroups. In addition, a large proportion of patients who were prescribed inadequate therapy had no recorded spirometry, although we note that spirometry is often under-recorded in the community setting.38,39 With regard to prescribing of adequate HF therapy (beta-blocker plus an ACE inhibitor and/or an ARB), our findings are in line with prior observational study findings of a reluctance to prescribe beta-blockers to patients with comorbid COPD and HF.12,25 Even for patients hospitalized for HF, those with comorbid COPD (vs no comorbid COPD) are reportedly less likely to be prescribed beta-blockers and ACE inhibitors/ARBs at the time of discharge from the hospital.12,39 In our study, current smokers and non-obese patients were less likely to receive adequate HF therapy, and again we found no recorded spirometry within the prior 5 years for a large proportion of patients (61%) with pre-existing COPD who were then prescribed suboptimal HF therapy after a new HF diagnosis. Much of prior work pertains to patients with comorbid COPD and HF who experience COPD exacerbations or are hospitalised.38–41 The results of this study add to the limited information available on prescribing practices for patients cared for primarily outside of the hospital setting25,39,42 and may potentially raise awareness of the optimal treatment of patients with COPD and HF. The data contained in the CPRD and OPCRD largely pertain to people treated in general practice, as few UK primary care patients with COPD attend secondary care.43 Interestingly, we found that a greater percentage of patients in both adequate therapy groups, as compared with the inadequate therapy groups, had other common comorbidities, including gastroesophageal reflux disease, diabetes, hypertension, and chronic renal disease. We do not have definitive explanations for this finding, although the higher rate of adequate therapy for these patients may reflect a multidisciplinary management of patients with multimorbidity. Many unanswered questions remain regarding optimal therapy for and reasons for under-treatment of comorbid COPD and HF in general practice.44 The strengths of this descriptive study include the use of long-term longitudinal data from quality-controlled UK databases frequently used for pharmacoepidemiologic research.7,45,46 These findings illustrate real-life prescribing patterns for large, representative patient cohorts in the UK. Moreover, the institution of the Quality and Outcomes Framework in 2004 provides incentives for recording of key disease-related measures in primary care EMRs, which has improved the recording of variables such as smoking status, recorded for >93% of patients in each cohort.34 Quint et al45 studied the accuracy of COPD diagnoses in the CPRD from 2004 to 2012 and found that COPD diagnostic codes accurately identified patients with COPD, with only marginally improved accuracy if recorded spirometry or prescribed COPD medications were used to confirm the COPD diagnosis. The median index date years were later for the adequate therapy groups, possibly suggesting improvements in prescribing practices over time that may have been led by changes in diagnostic criteria, guidelines, and the availability of newer treatments. The CPRD and OPCRD data are recorded for clinical and routine use, however, rather than specifically for research purposes. Whilst smoking status was recorded for the majority of patients, the proportion of missing data for some patient groups was high for certain variables. For example, FEV1 data was not available for 65% of patients in the inadequate therapy group (vs 43% of the adequate therapy group) of the HF-new COPD cohort, and FEV1 and mMRC data were missing for 61% and 32% of patients, respectively, in the inadequate therapy group (vs 35% and 13%, respectively, of the adequate therapy group) of the COPD-new HF cohort. Moreover, there are limitations to the use of EMR data, as not all patients had definitive tests; as noted, many were missing spirometry results, and not all would have had an echocardiogram. Spirometry results that were recorded as free text and not entered as coded data were not included in our data, which could at least partially explain data missingness. Other study limitations are that we applied the GOLD 2017 criteria to evaluate prescribing practices before 2017, and we used only the mMRC to determine GOLD groups, as COPD assessment test results were not included in these earlier EMR data. Some people may have been misdiagnosed as having HF and later correctly diagnosed as having COPD; however, the retrospective study design does not allow us to disentangle this possibility. In addition, as information on left ventricular ejection fraction was lacking, we could not separate HF with reduced ejection fraction from HF with preserved ejection fraction, a relevant distinction because, for the latter, evidence is lacking or inconsistent with regard to the benefits of beta-blockers, ACE inhibitors, and ARBs.23 We acknowledge that the study period was lengthy (1988 through May 2015) and thus incorporated changes in guidelines and prescribing practices over time, although newer therapies were not yet in recommended use. However, the majority of diagnoses were much later than 1988, with median diagnosis years of 2004 for inadequate treatment groups and 2009–2010 for adequate treatment groups. Moreover, whilst we did not assess drug doses, any occurrence of under-dosing would increase the incidence of treatment inadequacy. Information about the use of non-pharmacological treatments, such as rehab and smoking cessation aids, was not available in the CPRD and OPCRD. Finally, as for all database studies, there is the possibility of errors and omissions in recorded data. Because of the multiple differences between adequate and inadequate therapy groups, matched analyses and/or adjusted models would be required to conduct a proper statistical comparison between these two groups to account for these differences. However, the process of matching the adequately to inadequately treated patients would likely result in a large number of patients being excluded, greatly reducing the generalizability of the results. Furthermore, given the large number of candidate characteristics that could be included, and the size of baseline differences, the process of developing adjusted models would be complex and may not produce robust results. It would also be difficult to provide meaningful clinical interpretation of these models because of the large baseline differences we identified. Further studies are needed to understand the reasons for the under-prescribing identified by this study as well as by others.25,26,39 Longitudinal analysis techniques would be useful in a future study to better understand temporal differences in prescribing as relates to guideline adherence and drug availability. This would illustrate how treatment has changed over time and highlight any current treatment disparities that remain to be addressed. Moreover, work is needed to provide clinical education to improve and maximize appropriate prescribing for all patient subgroups, as well as to encourage broader use of spirometric testing when COPD is suspected. The optimal diagnostic and therapeutic approaches to comorbid COPD and HF require elucidation and implementation, as outlined in a recent call for action.47 To that end, Roversi et al17 have proposed diagnostic and treatment algorithms for patients suspected of having comorbid COPD and HF that could be adapted for wider dissemination. Other important areas for further study are to determine why clinicians may be reluctant to prescribe beta-blockers, as well as whether there are actual benefits of treatment with beta-blockers, in patients with COPD who have HF.48 The results of observational studies indicate there may be beneficial effects of beta-blockers for patients with COPD,49–51 and this question is being further explored in a prospective randomized trial.52 Of note, in a recent placebo-controlled trial of metoprolol for patients with COPD at increased risk of exacerbation—that specifically excluded patients with established indications for a beta-blocker—the risk of exacerbation was not lowered in the metoprolol group.53 Finally, the safety of combined LABA and LAMA for patients with comorbid COPD and HF also requires further study.54,55

Conclusion

Many patients with comorbid COPD and HF receive inadequate therapy after a new diagnosis of both conditions. Our findings identify which patients are most likely to be prescribed inadequate COPD therapy, including women, current smokers, and non-obese patients, or inadequate HF therapy, including current smokers and non-obese patients, after a new diagnosis in real-life clinical practice. These findings support the need for improving the equity of access to integrated care for all patients with comorbid COPD and HF. This information could be used to develop future guidelines to aid clinicians in making treatment decisions for patients with these comorbid conditions. A routine recommendation to examine for these common comorbidities, and to provide adequate therapy for both, should be addressed and expanded in COPD as well as HF management guidelines.
  42 in total

1.  Quality standards for real-world research. Focus on observational database studies of comparative effectiveness.

Authors:  Nicolas Roche; Helen Reddel; Richard Martin; Guy Brusselle; Alberto Papi; Mike Thomas; Dirjke Postma; Vicky Thomas; Cynthia Rand; Alison Chisholm; David Price
Journal:  Ann Am Thorac Soc       Date:  2014-02

Review 2.  COPD and heart failure: differential diagnosis and comorbidity.

Authors:  G Güder; S Störk
Journal:  Herz       Date:  2019-09       Impact factor: 1.443

Review 3.  Chronic Obstructive Pulmonary Disease and Cardiac Diseases. An Urgent Need for Integrated Care.

Authors:  Sara Roversi; Leonardo M Fabbri; Don D Sin; Nathaniel M Hawkins; Alvar Agustí
Journal:  Am J Respir Crit Care Med       Date:  2016-12-01       Impact factor: 21.405

4.  COPD and cardiovascular diseases: now is the time for action!

Authors:  Fernando Sergio Leitao Filho; Don D Sin
Journal:  Thorax       Date:  2018-04-05       Impact factor: 9.139

Review 5.  Risk of cardiovascular comorbidity in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.

Authors:  Wenjia Chen; Jamie Thomas; Mohsen Sadatsafavi; J Mark FitzGerald
Journal:  Lancet Respir Med       Date:  2015-07-22       Impact factor: 30.700

Review 6.  ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2008: the Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2008 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association of the ESC (HFA) and endorsed by the European Society of Intensive Care Medicine (ESICM).

Authors:  Kenneth Dickstein; Alain Cohen-Solal; Gerasimos Filippatos; John J V McMurray; Piotr Ponikowski; Philip Alexander Poole-Wilson; Anna Strömberg; Dirk J van Veldhuisen; Dan Atar; Arno W Hoes; Andre Keren; Alexandre Mebazaa; Markku Nieminen; Silvia Giuliana Priori; Karl Swedberg
Journal:  Eur Heart J       Date:  2008-09-17       Impact factor: 29.983

7.  Relationship between heart failure, concurrent chronic obstructive pulmonary disease and beta-blocker use: a Danish nationwide cohort study.

Authors:  Maurizio Sessa; Annamaria Mascolo; Rikke Nørmark Mortensen; Mikkel Porsborg Andersen; Giuseppe Massimo Claudio Rosano; Annalisa Capuano; Francesco Rossi; Gunnar Gislason; Henrik Enghusen-Poulsen; Christian Torp-Pedersen
Journal:  Eur J Heart Fail       Date:  2017-11-20       Impact factor: 15.534

Review 8.  Heart failure and chronic obstructive pulmonary disease: diagnostic pitfalls and epidemiology.

Authors:  Nathaniel Mark Hawkins; Mark C Petrie; Pardeep S Jhund; George W Chalmers; Francis G Dunn; John J V McMurray
Journal:  Eur J Heart Fail       Date:  2009-02       Impact factor: 15.534

9.  Effect of beta blockers in treatment of chronic obstructive pulmonary disease: a retrospective cohort study.

Authors:  Philip M Short; Samuel I W Lipworth; Douglas H J Elder; Stuart Schembri; Brian J Lipworth
Journal:  BMJ       Date:  2011-05-10

10.  Underuse of β-blockers in heart failure and chronic obstructive pulmonary disease.

Authors:  Brian Lipworth; Derek Skinner; Graham Devereux; Victoria Thomas; Joanna Ling Zhi Jie; Jessica Martin; Victoria Carter; David B Price
Journal:  Heart       Date:  2016-07-05       Impact factor: 5.994

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