Skip to main content

Main menu

  • HOME
  • ONLINE FIRST
  • CURRENT ISSUE
  • ALL ISSUES
  • AUTHORS & REVIEWERS
  • SUBSCRIBE
  • BJGP LIFE
  • MORE
    • About BJGP
    • Conference
    • Advertising
    • eLetters
    • Alerts
    • Video
    • Audio
    • Librarian information
    • Resilience
    • COVID-19 Clinical Solutions
  • RCGP
    • BJGP for RCGP members
    • BJGP Open
    • RCGP eLearning
    • InnovAIT Journal
    • Jobs and careers

User menu

  • Subscriptions
  • Alerts
  • Log in
  • Log out

Search

  • Advanced search
British Journal of General Practice
Intended for Healthcare Professionals
  • RCGP
    • BJGP for RCGP members
    • BJGP Open
    • RCGP eLearning
    • InnovAIT Journal
    • Jobs and careers
  • Subscriptions
  • Alerts
  • Log in
  • Follow bjgp on Twitter
  • Visit bjgp on Facebook
  • Blog
  • Listen to BJGP podcast
  • Subscribe BJGP on YouTube
British Journal of General Practice
Intended for Healthcare Professionals

Advanced Search

  • HOME
  • ONLINE FIRST
  • CURRENT ISSUE
  • ALL ISSUES
  • AUTHORS & REVIEWERS
  • SUBSCRIBE
  • BJGP LIFE
  • MORE
    • About BJGP
    • Conference
    • Advertising
    • eLetters
    • Alerts
    • Video
    • Audio
    • Librarian information
    • Resilience
    • COVID-19 Clinical Solutions
Research

Primary care REFerral for EchocaRdiogram (REFER) in heart failure: a diagnostic accuracy study

Clare J Taylor, Andrea K Roalfe, Rachel Iles, FD Richard Hobbs, The REFER investigators, P Barton, J Deeks, D McCahon, MR Cowie, G Sutton, RC Davis, J Mant, T McDonagh and L Tait
British Journal of General Practice 2017; 67 (655): e94-e102. DOI: https://doi.org/10.3399/bjgp16X688393
Clare J Taylor
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
Roles: GP and NIHR academic clinical lecturer
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrea K Roalfe
Institute of Applied Health Research, University of Birmingham, Birmingham.
Roles: Head of statistics
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rachel Iles
Institute of Applied Health Research, University of Birmingham, Birmingham.
Roles: Research fellow
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
FD Richard Hobbs
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
Roles: Professor of primary care
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
P Barton
Institute of Applied Health Research, University of Birmingham, Birmingham.
Roles: Reader in mathematical modelling
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J Deeks
Institute of Applied Health Research, University of Birmingham, Birmingham.
Roles: Professor of biostatistics
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
D McCahon
Institute of Applied Health Research, University of Birmingham, Birmingham.
Roles: Lecturer in primary care
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
MR Cowie
Faculty of Medicine, National Heart and Lung Institute, Imperial College London.
Roles: Professor of cardiology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
G Sutton
Faculty of Medicine, National Heart and Lung Institute, Imperial College London.
Roles: Consultant cardiologist (retired)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
RC Davis
Department of Cardiology, Sandwell and West Birmingham Hospitals, Lyndon, West Bromwich.
Roles: Consultant cardiologist
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J Mant
Department of Public Health and Primary Care, University of Cambridge, Cambridge.
Roles: Professor of primary care research
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
T McDonagh
Department of Cardiology, King’s College Hospital, London.
Roles: Professor of heart failure
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
L Tait
School of Health Sciences, Nottingham.
Roles: Senior research fellow
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info
  • eLetters
  • PDF
Loading

Abstract

Background Symptoms of breathlessness, fatigue, and ankle swelling are common in general practice but deciding which patients are likely to have heart failure is challenging.

Aim To evaluate the performance of a clinical decision rule (CDR), with or without N-Terminal pro-B type natriuretic peptide (NT-proBNP) assay, for identifying heart failure.

Design and setting Prospective, observational, diagnostic validation study of patients aged >55 years, presenting with shortness of breath, lethargy, or ankle oedema, from 28 general practices in England.

Method The outcome was test performance of the CDR and natriuretic peptide test in determining a diagnosis of heart failure. The reference standard was an expert consensus panel of three cardiologists.

Results Three hundred and four participants were recruited, with 104 (34.2%; 95% confidence interval [CI] = 28.9 to 39.8) having a confirmed diagnosis of heart failure. The CDR+NT-proBNP had a sensitivity of 90.4% (95% CI = 83.0 to 95.3) and specificity 45.5% (95% CI = 38.5 to 52.7). NT-proBNP level alone with a cut-off <400 pg/ml had sensitivity 76.9% (95% CI = 67.6 to 84.6) and specificity 91.5% (95% CI = 86.7 to 95.0). At the lower cut-off of NT-proBNP <125 pg/ml, sensitivity was 94.2% (95% CI = 87.9 to 97.9) and specificity 49.0% (95% CI = 41.9 to 56.1).

Conclusion At the low threshold of NT-proBNP <125 pg/ml, natriuretic peptide testing alone was better than a validated CDR+NT-proBNP in determining which patients presenting with symptoms went on to have a diagnosis of heart failure. The higher NT-proBNP threshold of 400 pg/ml may mean more than one in five patients with heart failure are not appropriately referred. Guideline natriuretic peptide thresholds may need to be revised.

  • clinical decision rule
  • diagnostic
  • echocardiography
  • general practice
  • heart failure
  • natriuretic peptide

INTRODUCTION

Heart failure is a chronic disease associated with significant mortality and poor quality of life.1–3 Patients may present to primary care with symptoms of gradual-onset breathlessness, fatigue, and ankle swelling.4 These symptoms are not unique to heart failure and can be associated with other conditions.5–7 Making an accurate and timely diagnosis is crucial, and requires referral for objective testing, but deciding who to refer can be challenging.8–10

Clinical decision rules (CDRs) can help clinicians to assess the probability that a patient has a particular condition.11 They are used widely in medicine to inform decisions about investigation and management.12,13 Mant and colleagues developed a CDR for heart failure by undertaking a systematic review that identified 11 prospective studies set in primary care.14 The decision rule was derived from an individual patient dataset from one of these studies (Zaphiriou et al)15 and externally validated on four others that included relevant variables.16–19

The CDR included three clinical elements, as shown in Box 1, and was combined with N-Terminal pro-B type natriuretic peptide levels (NT-proBNP) to identify those likely to have heart failure and therefore requiring referral for further diagnostic testing.

Box 1.

The ‘MICE’ clinical decision rule

Refer straight for echocardiography if the patient has any one of:

  • a history of myocardial Infarction;

  • basal Crepitations; or

  • ankle oEdema in a Male.

Otherwise, carry out an NT-proBNP test and refer straight for echocardiography if level is above one of three cut-offs set by sex/symptoms recorded in the clinical rule:

  • female without ankle oedema, refer if NT-proBNP >620–1060 pg/ml;

  • male without ankle oedema, refer if NT-proBNP >390–660 pg/ml; or

  • female with ankle oedema, refer if NT-proBNP >190–520 pg/ml.

Natriuretic peptides are routinely used in the diagnosis of heart failure, although doubt remains about the most appropriate cut-off levels required to optimise diagnostic accuracy.20 The European Society of Cardiology (ESC) advocates an NT-proBNP threshold of 125 pg/ml,8 below which heart failure can be ruled out, whereas the National Institute for Health and Care Excellence (NICE) in England (where the study took place) recommends a much higher NT-proBNP threshold of 400 pg/ml.4

The aim of this diagnostic accuracy study was to assess the performance of the CDR, CDR+NT-proBNP, or NT-proBNP alone in identifying patients with heart failure presenting to primary care.

METHOD

The full methods for the REFER study have been previously published elsewhere.21

How this fits in

Patients with symptoms suggestive of heart failure often present to primary care. The diagnosis requires objective evidence of cardiac dysfunction, usually found using echocardiography, but deciding which patients to refer for further testing is challenging. This study found a validated clinical decision rule (CDR) added little to diagnostic accuracy and that N-Terminal pro-B type natriuretic peptide levels (NT-proBNP) testing alone should be carried out in symptomatic patients with suspected heart failure. The cut-off needs to be low enough to ensure cases are not missed.

Study design and participants

The REFER study was a prospective, observational, diagnostic validation design to assess the performance of the Male, Infarction, Crepitations, Edema (MICE) rule and NT-proBNP level in identifying patients with heart failure. The study population was primary care patients aged >55 years presenting with recent new-onset shortness of breath, lethargy, or peripheral ankle oedema of >48 hours’ duration for which there was no other obvious cause. Patients were excluded if they were unable to give consent, had a previous confirmed diagnosis (that is, with objective evidence) of heart failure, an obvious alternative diagnosis, severe symptoms requiring immediate management, or recent (within 60 days) acute coronary syndrome.

Recruitment

The original study protocol stated a recruitment target of 500 participants from 20 practices (equivalent to 25 participants per practice) over an 18-month period. Due to difficulties in prospectively recruiting patients within GP appointments at a time of unprecedented demand on the service, the length of the recruitment period was extended and the number of practices increased.

The recruitment phase of the REFER study started on 1 May 2011 and completed on 31 August 2013. Participants were recruited from a random sample of 28 general practices in central England, stratified by practice list size and deprivation quartile.22 Participating practices were asked to invite all presenting patients who met the inclusion criteria to join the study consecutively. Assessment was undertaken at the research clinic within 7 days of participants presenting to their GP.

Assessment clinics

Assessments were carried out within 7 days of recruitment by trained research nurses and an echocardiographer accredited by the British Society of Echocardiography (BSE). Informed consent was obtained, and then detailed clinical history and examination, blood testing, electrocardiograph (ECG), and echocardiogram were carried out. Two attempts at blood taking were allowed. The NT-proBNP level was determined using a point-of-care device (Roche Diagnostics, UK).

Reference standard

The reference standard was an expert consensus panel of three cardiology specialists, who reviewed each case blinded to the assessments by other panel members. The ESC 2012 guideline was used to define heart failure.8 To assess incorporation bias, the panel was presented with clinical information and investigation results in three separate stages. At Step 1, clinical assessment (excluding the CDR variables), ECG, and echo findings were presented. At Step 2, the CDR components (male, history of myocardial infarction, crepitations, and oedema) were added and finally, at Step 3, the NT-proBNP result was included. The cardiology specialists were asked to record if the patient did or did not have heart failure at each of the three steps.

Statistical methods

A sample of 500 symptomatic patients attending their GP with breathlessness, lethargy, or ankle swelling was proposed. This sample size was sufficient to estimate the sensitivity of the CDR to within 4% and specificity to within 6% at the 95% confidence level. Calculations were based on a sensitivity of 94% and specificity of 48% obtained from the previous individual patient data meta-analysis19 and prevalence of heart failure in a symptomatic population of 30%.

Participants with and without a diagnosis of heart failure at Step 3 were compared using independent t-tests or Wilcoxon ranked sum tests for continuous measures and χ2 tests for categorical variables. The main outcome measures were test performance of the CDR and natriuretic peptide test — alone and in combination — in estimating a diagnosis of heart failure. The findings of the expert consensus panel determined if heart failure — the Observed Disease — was present or absent. The CDR and NT-proBNP results were also used to determine whether heart failure was likely to be present — the Test Disease — and referral for echocardiography would have been indicated. Observed versus Test Disease status was then cross-tabulated to determine the sensitivity and specificity, positive predictive value (PPV), and negative predictive value (NPV) for the CDR, NT-proBNP, and their combination; and also by NT-proBNP cut-offs of 125 pg/ ml and 400 pg/ml suggested by the ESC and NICE guidelines respectively.4,8

The binomial exact method was used to calculate 95% confidence intervals (CIs). Receiver operating characteristics (ROC) curves were generated to determine the overall discriminatory ability of each test in predicting a diagnosis of heart failure. Comparisons were made between performance characteristics of the current cohort and those observed in the original derivation dataset.15 The original data used in the analysis are available from the authors.

RESULTS

Participants

Figure 1 shows a flow diagram for recruitment. Three hundred and ninety-seven patients were eligible for inclusion; 45 were excluded. Of the 352 participants recruited, 48 did not have a blood test (due to failed venepuncture) so were excluded from the final analysis. The remaining 304 participants formed the validation cohort; participants were similar to those excluded, with respect to demography and medical history, except previous record of heart failure, where those without NT-proBNP had a higher prevalence (2.3% versus 8.3%). These heart failure labels from the routine clinical records were, however, not necessarily confirmed with objective evidence or a formal diagnosis.

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Flow diagram to show number of participants in REFER study. Step 1 = clinical info +ECG+echo. Step 2 = CDR variables. Step 3 = NT–proBNP result. CDR = clinical decision rule. DNA = did not attend. NT-proBNP = N-Terminal pro-B type natriuretic peptide levels.

The clinical and demographic characteristics of the study population are shown in Table 1. The mean age was 73.9 years (standard deviation [SD] 8.8) and 180 (59.2%) participants were female. The cohort had a range of ethnic mix including 18.4% Asian or Asian British. Over half of participants had all three symptoms of breathlessness, ankle oedema, and lethargy. Cardiovascular risk factors such as hypertension and diabetes were prevalent — 221 (72.7%) participants reported having hypertension and 86 (28.3%) had diabetes. Comorbidities were common — 183 participants (60.2%) had arthritis and 73 (24.0%) had depression. Four participants had a record of prior heart failure but this was not confirmed with objective evidence or a formal diagnosis. Cardiovascular medications were commonly prescribed due to the high rate of hypertension in the cohort.

View this table:
  • View inline
  • View popup
Table 1.

Participant characteristics of the REFER study and derivation dataseta

The REFER cohort, although similar in age and sex to the derivation dataset,15 had fewer referrals due to shortness of breath and more due to ankle oedema and lethargy. Hypertension and diabetes were observed in greater frequency in the REFER population but a lower proportion of patients had chronic obstructive pulmonary disease (COPD). Prescribing of diuretics was less frequent in the REFER cohort but a higher proportion were prescribed angiotensin-converting enzyme (ACE) inhibitors.

Number of participants with heart failure

The expert panel reviewed the data for each participant and determined whether or not a heart failure diagnosis was present; 104 participants had heart failure, which represented 34.2% (95% CI = 28.9 to 39.8) of the cohort. The objective abnormalities found on ECG and echo are shown in Table 2.

View this table:
  • View inline
  • View popup
Table 2.

Objective abnormalities found on ECG and echo in participants with and without heart failure

The characteristics of participants with and without heart failure are shown in Table 3. Participants with heart failure were older and half were male. Presenting symptom profile was similar. Proportionately more patients with heart failure had a history of myocardial infarction (16.4% versus 8.5%) but there was no significant difference in other comorbidities such as hypertension, COPD, and arthritis. Depression was more common in the non-heart-failure group. Cardiovascular medications were more likely to be prescribed in those with heart failure than those without heart failure.

View this table:
  • View inline
  • View popup
Table 3.

Characteristics of REFER participants with and without heart failure

The median NT-proBNP level was significantly higher in the heart failure group. At the lower 125 pg/ml cut-off, over half of patients without heart failure had an NT-proBNP above the threshold for referral to echocardiography.

Diagnostic accuracy estimates

The diagnostic accuracy of the CDR, NT-proBNP level, and their combination is shown in Table 4. The clinical information (MICE symptoms) of the CDR had a sensitivity of 44.2% (95% CI = 34.5 to 54.3), but with the addition of the NT-proBNP level at the lower cut-offs this improved to a sensitivity of 90.4% (95% CI = 83.0 to 95.3) and specificity 45.5% (95% CI = 38.5 to 52.7). NT-proBNP level alone with a cut-off less than 400 pg/ml had sensitivity 76.9% (95% CI = 67.6 to 84.6) and specificity 91.5% (95% CI = 86.7 to 95.0). At the lower cut-off of 125 pg/ml, sensitivity was 94.2% (95% CI = 87.9 to 97.9) and specificity 49.0% (95% CI = 41.9 to 56.1).

View this table:
  • View inline
  • View popup
Table 4.

Performance characteristics of the clinical decision rule and NT-proBNP

These performance characteristics were mostly lower in magnitude than the corresponding values observed in the derivation dataset. However, comparison of the CIs suggests that the differences were not statistically different at the 5% level. Figure 2 shows the ROC curves of each index test for predicting heart failure. Significant differences (P<0.0001) were observed between the areas under the receiver operating curves (AUROCs) shown in Table 4. NT-proBNP had the best discriminatory power with AUROC of 0.91 (95% CI = 0.88 to 0.95) and the clinical element (MICE) of the CDR the poorest with AUROC 0.54 (95% CI = 0.48 to 0.60).

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Receiver operating characteristic curves of CDR+NT-proBNP or NT-proBNP alone for predicting heart failure. CDR = clinical decision rule. NT-proBNP = N-Terminal pro-B type natriuretic peptide levels.

Assessing incorporation bias

The performance characteristics for the CDR+NT-proBNP or NT-proBNP alone at Steps 1 to 3 are shown in Appendix 1. The diagnostic accuracy of all tests increased at each step, with largest changes observed when NT-proBNP was used without the clinical element of the CDR. NT-proBNP cut-off 400 pg/ml showed a statistically significant increase in the detection of cases without heart failure from Step 2 to Step 3 (P<0.05).

DISCUSSION

Summary

The CDR was not clinically helpful in isolation; NT-proBNP testing alone performed as well as the validated CDR in determining which patients presenting with possible heart failure symptoms went on to have a diagnosis of heart failure. At a NT-proBNP threshold of 125 pg/ml, as advised in ESC guidance, 94% of patients who went on to have heart failure were identified. However, at an NT-proBNP threshold of 400 pg/ml, the current level recommended by NICE in England, only 77% of heart failure patients were appropriately referred. More than one in five patients in this study would have been misdiagnosed.4

Strengths and limitations

This study included patients presenting prospectively to their GP. A large proportion of health care in England is provided through general practice, and testing the CDR in a real-life clinical setting where most patients are managed allows accurate validation of the rule.23 Participants underwent thorough phenotyping, including clinical and objective assessment. The data were then reviewed by a panel of three experienced cardiologists, using a staged system to allow for assessment of incorporation bias, to agree a formal diagnosis so that the ‘Observed Disease’ was accurate.24 The study was slow to recruit and failed to meet the initial target of 500 patients. This was due to the requirement to recruit within the routine 10-minute consultation at a time of unparalleled increased workloads in English general practice.25 Furthermore, when the study was designed, natriuretic peptides were not routinely available and therefore the provision of natriuretic peptide testing and a rapid diagnostic service, via the REFER study, might have been attractive to GPs. However, shortly after the study commenced, natriuretic peptide assays became an open-access diagnostic for practices in the region.4 Although fewer participants were recruited than planned, the performance characteristics of the MICE rule were estimated with only marginally lower precision than designed. These findings also represent the largest diagnostic accuracy study conducted in patients with undifferentiated symptoms presenting to primary care with possible heart failure.

The number of participants with heart failure due to reduced ejection fraction was unexpectedly low in the cohort. This may reflect the nature of heart failure presentation where those with left ventricular systolic dysfunction may be more likely to present acutely direct to secondary care, or may already be under the care of a cardiologist for a known cardiovascular comorbidity such as coronary artery disease.26

The increase in performance across the stepped diagnosis suggests that the sensitivity of the index tests may have been overestimated due to incorporation bias. However, evaluation of the results at Step 2 (where NT-proBNP was excluded from clinical diagnosis) confirms that the diagnostic accuracy of the NT-proBNP test alone at the lower cut-off is similar to that of the CDR+NT-proBNP.

Comparison with existing literature

Heart failure can be a difficult diagnosis to make and the idea of a CDR to help primary care clinicians with the decision of who to refer for objective testing is justifiable.27 The role of CDRs as an aid to clinical decision-making, however, remains controversial. There are many examples of CDRs being generated and validated with the hope of improving clinical accuracy but performance characteristics are often modest at best.28–30 Furthermore, remembering the components of a CDR and applying it within the consultation can be challenging for busy generalist clinicians seeing patients with undifferentiated illness.31

The reason the CDR performed no better than NT-proBNP alone may be due to the diagnosis of heart failure in the cohort being largely heart failure with preserved ejection fraction. This spectrum of patients was different from previous studies of heart failure where the prevalence of a low ejection fraction (<40%) was more common. The derivation and initial validation of the CDR relied predominantly on epidemiological studies, which included heart failure with reduced ejection fraction, so may not directly apply to the REFER population.14 In addition, the way symptoms were recorded may have differed: the study that was used to derive the CDR was carried out by cardiologists in a secondary care clinic, whereas the REFER study data were collected by research nurses. However, both studies relied on referral from primary care. The prevalence of atrial fibrillation and valvular disease was also very high in the REFER cohort. This may reflect a new reality where clinically florid cases of heart failure with reduced ejection fraction present to acute services, while primary care experiences an increase in the number of patients with heart failure with preserved ejection fraction, and/or other cardiovascular comorbidities.32

Implications for research and practice

The threshold for NT-proBNP below which heart failure can be reasonably excluded is also an area of ongoing research.33 34 Cost effectiveness is an important consideration at a population level and is being carried out using the results of the REFER study. For any test, there is always a trade-off between sensitivity and specificity,28 and guidelines differ in the threshold they currently recommend.4,8 A high sensitivity ensures fewer cases are missed, but at the expense of more patients undergoing echocardiography, a test with limited availability in many healthcare systems including the NHS in England. But accepting a test with a sensitivity that is too low could result in a diagnosis of heart failure being missed. This study shows that, in patients suspected of having heart failure, an NT-proBNP blood test alone, at a threshold of 125 pg/ml, means heart failure is unlikely and thus could be used as a ‘rule out’ test to reduce the burden on echo services. At the higher NT-proBNP threshold of 400 pg/ml more than one in five cases of heart failure may be missed. Guidelines should be revised to ensure natriuretic peptide cut-off levels are low enough to ensure GPs are not falsely reassured that referral for echocardiography is not required.

Acknowledgments

The authors would like to acknowledge Ms Marites Derit, echo technician, and the trial steering committee — Professor Kelvin Jordan (chair), Professor Tom Quinn, Professor Christian Mallen, and Barry Clark (patient representative).Thanks also to the 28 recruiting practices: Grange Hill Medical Centre, Dovecote Medical Practice, Bellevue Medical Centre, Burbury St Surgery, Fernley Medical Centre, the Oaks Medical Centre, Sutton Park Surgery, Balsall Heath Medical Centre, Stockland Green Primary Care Centre, Ridgeacre Surgery, Grove Road and Shirley Medical Centre, Maypole Health Centre, Riverbrook Medical Centre, West Heath Surgery, Vicarage Road Surgery, Woodgate Valley Health Centre, Greenridge Health Centre, Fernbank Medical Centre, Downsfield Surgery, Laurie Pike Health Centre, Shanklin House Surgery, Apollo Surgery, Kingstanding Health Centre, Tudor Practice, Highgate Health Centre, Bournville Surgery, Eden Court Medical Practice, and Yardley Wood Medical Practice.

Appendix. Performance characteristics of the CDR and NT-proBNP at Steps 1 to 3

Sensitivity (95% CI)Specificity (95% CI)PPV (95% CI)NPV (95% CI)
CDR+NT-proBNP (lower cut-offs)
  Step 178.8 (67.0 to 87.9)36.6 (30.4 to 43.0)25.6 (19.8 to 32.2)86.1 (77.8 to 92.2)
  Step 285.4 (76.3 to 92.0)40.9 (34.3 to 47.8)37.4 (30.8 to 44.5)87.1 (79.0 to 93.0)
  Step 390.4 (83.0 to 95.3)45.5 (38.5 to 52.7)46.3 (39.3 to 53.4)90.1 (82.5 to 95.1)
CDR+NT-proBNP (upper cut-offs)
  Step 160.6 (47.8 to 72.4)51.7 (45.1 to 58.2)25.8 (19.1 to 33.4)82.6 (75.5 to 88.3)
  Step 274.2 (63.8 to 89.2)58.6 (51.7 to 65.3)42.6 (34.7 to 50.8)84.6 (77.7 to 90.0)
  Step 378.8 (69.7 to 86.2)63.5 (56.4 to 70.2)52.9 (44.7 to 61.0)85.2 (78.5 to 90.5)
NT-proBNP >125
  Step 181.8 (70.4 to 90.2)38.7 (32.4 to 45.2)27.0 (21.0 to 33.7)88.5 (80.7 to 93.9)
  Step 284.3 (75.0 to 91.1)41.9 (35.2 to 48.8)37.5 (30.8 to 44.6)86.5 (78.4 to 92.4)
  Step 394.2 (87.9 to 97.9)49.0 (41.9 to 56.1)49.0 (41.9 to 56.1)94.2 (87.9 to 97.9)
NT-proBNP >400 pg/ml
  Step 148.5 (36.0 to 61.1)72.7 (66.6 to 78.2)33.0 (23.8 to 43.3)83.6 (77.8 to 88.3)
  Step 258.4 (47.5 to 68.8)79.1 (73.0 to 84.3)53.6 (43.2 to 63.8)82.1 (76.2 to 87.1)
  Step 376.9 (67.6 to 84.6)91.5 (86.7 to 95.0)82.5 (73.4 to 89.4)88.4 (83.2 to 92.4)
  • CDR = clinical decision rule. NPV = negative predictive factor. PPV = positive predictive factor. NT-proBNP = N-Terminal pro-B type natriuretic peptide levels.

Notes

Funding

This work was supported by a grant from the Efficacy and Mechanism Evaluation (EME) Programme (09/160/13), a Medical Research Council and National Institute for Health Research (NIHR) partnership. This study presents independent research funded by the NIHR. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health. FD Richard Hobbs is part-funded, through supervision sessions, by the NIHR School for Primary Care Research, NIHR Oxford Biomedical Research Centre, NIHR Collaboration for Leadership in Applied Health Research and Care Oxford and Harris Manchester College, University of Oxford. Clare J Taylor is funded by an NIHR Academic Clinical Lectureship at the University of Oxford.

Ethical approval

The study received approval from the Midlands Research Ethics Committee (09/H1207/121).

Provenance

Freely submitted; externally peer reviewed.

Competing interests

Roche Diagnostics provided the NT-proBNP testing equipment but did not have any influence on study design, conduct, or reporting. Over the past decade, FD Richard Hobbs has received occasional research support or subsidy with assays from Roche Diagnostics and occasional speaker or consultancy fees from Novartis and Pfizer. Martin R Cowie reports personal fees from Roche Diagnostics and personal fees from Alere, outside the submitted work.

Discuss this article

Contribute and read comments about this article: bjgp.org/letters

  • Received July 25, 2016.
  • Revision requested August 26, 2016.
  • Accepted September 21, 2016.
  • © British Journal of General Practice 2017

This is an OpenAccess article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

REFERENCES

  1. 1.↵
    1. Zapka JG,
    2. Moran WP,
    3. Goodlin SJ,
    4. et al.
    (2007) Advanced heart failure: prognosis, uncertainty and decision making. Congest Heart Fail 13(5):268–274.
    OpenUrlPubMed
  2. 2.
    1. Stewart S,
    2. Jenkins A,
    3. Buchan S,
    4. et al.
    (2002) The current cost of heart failure to the National Health Service in the UK. Eur J Heart Fail 4(3):361–371.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Taylor CJ,
    2. Roalfe AK,
    3. Iles R,
    4. et al.
    (2012) Ten-year prognosis of heart failure in the community: follow-up data from the Echocardiographic Heart of England Screening (ECHOES) study. Eur J Heart Fail 14(2):176–184.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. National Institute for Health and Care Excellence
    (2010) Chronic heart failure in adults: management CG108 (NICE, London) https://www.nice.org.uk/guidance/cg108?unlid=715333182201621351854 (accessed 15 Nov 2016).
  5. 5.↵
    1. Rutten FH,
    2. Cramer MJ,
    3. Grobbee DE,
    4. et al.
    (2005) Unrecognized heart failure in elderly patients with stable chronic obstructive pulmonary disease. Eur Heart J 26(18):1887–1894.
    OpenUrlCrossRefPubMed
  6. 6.
    1. Bertens LC,
    2. Reitsma JB,
    3. van Mourik Y,
    4. et al.
    (2014) COPD detected with screening: impact on patient management and prognosis. Eur Respir J 44(6):1571–1578.
    OpenUrlAbstract/FREE Full Text
  7. 7.↵
    1. Barnett K,
    2. Mercer SW,
    3. Norbury M,
    4. et al.
    (2012) Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet 380(9836):37–43.
    OpenUrlCrossRefPubMed
  8. 8.↵
    1. Ponikowski P,
    2. Voors AA,
    3. Anker SD,
    4. et al.
    (2016) Eur Heart J, 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. DOI: http://eurheartj.oxfordjournals.org/lookup/doi/10.1093/eurheartj/ehw128. Epub 2016 May 20.
  9. 9.
    1. Le Jemtel TH,
    2. Padeletti M,
    3. Jelic S
    (2007) Diagnostic and therapeutic challenges in patients with coexistent chronic obstructive pulmonary disease and chronic heart failure. J Am Coll Cardiol 49(2):171–180.
    OpenUrlFREE Full Text
  10. 10.↵
    1. Fuat A,
    2. Hungin AP,
    3. Murphy JJ
    (2003) Barriers to accurate diagnosis and effective management of heart failure in primary care: qualitative study. BMJ 326(7382):196.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    1. van Ierland Y,
    2. Elshout G,
    3. Berger MY,
    4. et al.
    (2015) Br J Gen Pract, Translation of clinical prediction rules for febrile children to primary care practice: an observational cohort study. DOI: https://doi.org/10.3399/bjgp15X684373.
  12. 12.↵
    1. Stiell I,
    2. Wells G,
    3. Laupacis A,
    4. et al.
    (1995) Multicentre trial to introduce the Ottawa ankle rules for use of radiography in acute ankle injuries. Multicentre Ankle Rule Study Group. BMJ 311(7005):594–597.
    OpenUrlAbstract/FREE Full Text
  13. 13.↵
    1. Lip GY
    (2013) Using the CHADS2 and CHA2DS2-VASc scores for stroke risk prediction as well as the identification of stroke outcomes and cardiac complications in patients with and without atrial fibrillation. Cerebrovasc Dis 36(4):281–282.
    OpenUrl
  14. 14.↵
    1. Mant J,
    2. Doust J,
    3. Roalfe A,
    4. et al.
    (2009) Systematic review and individual patient data meta-analysis of diagnosis of heart failure, with modelling of implications of different diagnostic strategies in primary care. Health Technol Assess 13(32):1–207.
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Zaphiriou A,
    2. Robb S,
    3. Murray-Thomas T,
    4. et al.
    (2005) The diagnostic accuracy of plasma BNP and NTproBNP in patients referred from primary care with suspected heart failure: results of the UK natriuretic peptide study. Eur J Heart Fail 7(4):537–541.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. Hobbs FDR,
    2. Davis RC,
    3. Roalfe AK,
    4. et al.
    (2002) Reliability of N-terminal pro-brain natriuretic peptide assay in diagnosis of heart failure: cohort study in representative and high risk community populations. BMJ 324(7352):1498–1503.
    OpenUrlAbstract/FREE Full Text
  17. 17.
    1. Cowie MR,
    2. Struthers AD,
    3. Wood DA,
    4. et al.
    (1997) Value of natriuretic peptides in assessment of patients with possible new heart failure in primary care. Lancet 350(9088):1349–1353.
    OpenUrlCrossRefPubMed
  18. 18.
    1. Cost B
    (2000) Heart failure in the elderly. PhD thesis (Erasmus University Rotterdam).
  19. 19.↵
    1. Wright SP,
    2. Doughty RN,
    3. Pearl A,
    4. et al.
    (2003) Plasma amino-terminal pro-brain natriuretic peptide and accuracy of heart-failure diagnosis in primary care: a randomized, controlled trial. J Am Coll Cardiol 42(10):1793–1800.
    OpenUrlFREE Full Text
  20. 20.↵
    1. Booth RA,
    2. Hill SA,
    3. Don-Wauchope A,
    4. et al.
    (2014) Performance of BNP and NT-proBNP for diagnosis of heart failure in primary care patients: a systematic review. Heart Fail Rev 19(4):439–451.
    OpenUrl
  21. 21.↵
    1. Tait L,
    2. Roalfe AK,
    3. Mant J,
    4. et al.
    (2012) The REFER (REFer for EchocaRdiogram) protocol: a prospective validation of a clinical decision rule, NT-proBNP, or their combination, in the diagnosis of heart failure in primary care. Rational and design. BMC Cardiovasc Disord 12:97.
    OpenUrlPubMed
  22. 22.↵
    1. Noble M,
    2. McLennan D,
    3. Wilkinson K,
    4. et al.
    (2008) The English Indices of Deprivation 2007 (Department for Communities and Local Government, London).
  23. 23.↵
    1. NHS England Primary Care Transformation Programme.
    (2013) Transforming primary care in London. (NHS England).
  24. 24.↵
    1. Taylor CJ,
    2. Hobbs FDR
    (2013) Heart failure therapy in patients with coronary artery disease. Curr Opin Pharmacol 13(2):205–209.
    OpenUrl
  25. 25.↵
    1. Hobbs FDR,
    2. Bankhead C,
    3. Mukhtar T,
    4. et al.
    (2016) Clinical workload in UK primary care: a retrospective analysis of 100 million consultations in England, 2007–14. Lancet 387(10035):2323–2330.
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Ho JE,
    2. Gona P,
    3. Pencina MJ,
    4. et al.
    (2012) Discriminating clinical features of heart failure with preserved vs. reduced ejection fraction in the community. Eur Heart J 33(14):1734–1741.
    OpenUrlCrossRefPubMed
  27. 27.↵
    1. Bertens LC,
    2. van Mourik Y,
    3. Rutten FH,
    4. et al.
    (2015) Staged decision making was an attractive alternative to a plenary approach in panel diagnosis as reference standard. J Clin Epidemiol 68(4):418–425.
    OpenUrl
  28. 28.↵
    1. Adams ST,
    2. Leveson SH
    (2012) Clinical prediction rules. BMJ 344:d8312.
    OpenUrlFREE Full Text
  29. 29.
    1. Lucassen W,
    2. Geersing GJ,
    3. Erkens PM,
    4. et al.
    (2011) Clinical decision rules for excluding pulmonary embolism: a meta-analysis. Ann Intern Med 155(7):448–460.
    OpenUrlCrossRefPubMed
  30. 30.↵
    1. Le Marechal F,
    2. Martinot A,
    3. Duhamel A,
    4. et al.
    (2013) Streptococcal pharyngitis in children: a meta-analysis of clinical decision rules and their clinical variables. BMJ Open 9(3):e001482.
    OpenUrl
  31. 31.↵
    1. Balla J,
    2. Heneghan C,
    3. Thompson M,
    4. Balla M
    (2012) Clinical decision making in a high-risk primary care environment: a qualitative study in the UK. BMJ Open 2:e000414.
    OpenUrlAbstract/FREE Full Text
  32. 32.↵
    1. Owan TE,
    2. Hodge DO,
    3. Herges RM,
    4. et al.
    (2006) Trends in prevalence and outcome of heart failure with preserved ejection fraction. N Engl J Med 355(3):251–259.
    OpenUrlCrossRefPubMed
  33. 33.↵
    1. Hobbs FD,
    2. Davis RC,
    3. Roalfe AK,
    4. et al.
    (2004) Reliability of N-terminal proBNP assay in diagnosis of left ventricular systolic dysfunction within representative and high risk populations. Heart 90(8):866–870.
    OpenUrlAbstract/FREE Full Text
  34. 34.↵
    1. Taylor CJ,
    2. Roalfe AK,
    3. Iles R,
    4. et al.
    (2014) The potential role of NT-proBNP in screening for and predicting prognosis in heart failure: a survival analysis. BMJ Open 4(4):e004675.
    OpenUrlAbstract/FREE Full Text
Back to top
Previous ArticleNext Article

In this issue

British Journal of General Practice: 67 (655)
British Journal of General Practice
Vol. 67, Issue 655
February 2017
  • Table of Contents
  • Index by author
Download PDF
Download PowerPoint
Email Article

Thank you for recommending British Journal of General Practice.

NOTE: We only request your email address so that the person to whom you are recommending the page knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Primary care REFerral for EchocaRdiogram (REFER) in heart failure: a diagnostic accuracy study
(Your Name) has forwarded a page to you from British Journal of General Practice
(Your Name) thought you would like to see this page from British Journal of General Practice.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Primary care REFerral for EchocaRdiogram (REFER) in heart failure: a diagnostic accuracy study
Clare J Taylor, Andrea K Roalfe, Rachel Iles, FD Richard Hobbs, The REFER investigators, P Barton, J Deeks, D McCahon, MR Cowie, G Sutton, RC Davis, J Mant, T McDonagh, L Tait
British Journal of General Practice 2017; 67 (655): e94-e102. DOI: 10.3399/bjgp16X688393

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Primary care REFerral for EchocaRdiogram (REFER) in heart failure: a diagnostic accuracy study
Clare J Taylor, Andrea K Roalfe, Rachel Iles, FD Richard Hobbs, The REFER investigators, P Barton, J Deeks, D McCahon, MR Cowie, G Sutton, RC Davis, J Mant, T McDonagh, L Tait
British Journal of General Practice 2017; 67 (655): e94-e102. DOI: 10.3399/bjgp16X688393
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
  • Mendeley logo Mendeley

Jump to section

  • Top
  • Article
    • Abstract
    • INTRODUCTION
    • METHOD
    • RESULTS
    • DISCUSSION
    • Acknowledgments
    • Appendix. Performance characteristics of the CDR and NT-proBNP at Steps 1 to 3
    • Notes
    • REFERENCES
  • Figures & Data
  • Info
  • eLetters
  • PDF

Keywords

  • clinical decision rule
  • diagnostic
  • echocardiography
  • general practice
  • heart failure
  • natriuretic peptide

More in this TOC Section

  • The impact of remote care approaches on continuity in primary care: a mixed-studies systematic review
  • Performance of ethnic minority versus White doctors in the MRCGP assessment 2016–2021: a cross-sectional study
  • Trends in the registration of anxiety in Belgian primary care from 2000 to 2021: a registry-based study
Show more Research

Related Articles

Cited By...

Intended for Healthcare Professionals

BJGP Life

BJGP Open

 

@BJGPjournal's Likes on Twitter

 
 

British Journal of General Practice

NAVIGATE

  • Home
  • Current Issue
  • All Issues
  • Online First
  • Authors & reviewers

RCGP

  • BJGP for RCGP members
  • BJGP Open
  • RCGP eLearning
  • InnovAiT Journal
  • Jobs and careers

MY ACCOUNT

  • RCGP members' login
  • Subscriber login
  • Activate subscription
  • Terms and conditions

NEWS AND UPDATES

  • About BJGP
  • Alerts
  • RSS feeds
  • Facebook
  • Twitter

AUTHORS & REVIEWERS

  • Submit an article
  • Writing for BJGP: research
  • Writing for BJGP: other sections
  • BJGP editorial process & policies
  • BJGP ethical guidelines
  • Peer review for BJGP

CUSTOMER SERVICES

  • Advertising
  • Contact subscription agent
  • Copyright
  • Librarian information

CONTRIBUTE

  • BJGP Life
  • eLetters
  • Feedback

CONTACT US

BJGP Journal Office
RCGP
30 Euston Square
London NW1 2FB
Tel: +44 (0)20 3188 7400
Email: journal@rcgp.org.uk

British Journal of General Practice is an editorially-independent publication of the Royal College of General Practitioners
© 2023 British Journal of General Practice

Print ISSN: 0960-1643
Online ISSN: 1478-5242