Dataset Information

TARGET-HF: developing a model for detecting incident heart failure among symptomatic patients in general practice using routine health care data.

ABSTRACT:

Background

Timely diagnosis of heart failure (HF) is essential to optimize treatment opportunities that improve symptoms, quality of life, and survival. While most patients consult their general practitioner (GP) prior to HF, the early stages of HF may be difficult to identify. An integrated clinical support tool may aid in identifying patients at high risk of HF. We therefore constructed a prediction model using routine health care data.

Methods

Our study involved a dynamic cohort of patients (≥35 years) who consulted their GP with either dyspnoea and/or peripheral oedema within the Amsterdam metropolitan area from 2011 to 2020. The outcome of interest was incident HF, verified by an expert panel. We developed a regularized, cause-specific multivariable proportional hazards model (TARGET-HF). The model was evaluated with bootstrapping on an isolated validation set and compared to an existing model developed with hospital insurance data as well as patient age as a sole predictor.

Results

Data from 31,905 patients were included (40% male, median age 60 years) of whom 1,301 (4.1%) were diagnosed with HF over 124,676 person-years of follow-up. Data were allocated to a development (n = 25,524) and validation (n = 6,381) set. TARGET-HF attained a C-statistic of 0.853 (95% CI, 0.834 to 0.872) on the validation set, which proved to provide a better discrimination than C = 0.822 for age alone (95% CI, 0.801 to 0.842, P < 0.001) and C = 0.824 for the hospital-based model (95% CI, 0.802 to 0.843, P < 0.001).

Conclusion

The TARGET-HF model illustrates that routine consultation codes can be used to build a performant model to identify patients at risk for HF at the time of GP consultation.

SUBMITTER: De Clercq L

PROVIDER: S-EPMC9909665 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Publications

TARGET-HF: developing a model for detecting incident heart failure among symptomatic patients in general practice using routine health care data.

De Clercq Lukas L Schut Martijn C MC Bossuyt Patrick M M PMM van Weert Henk C P M HCPM Handoko M Louis ML Harskamp Ralf E RE

Family practice 20230201 1

<h4>Background</h4>Timely diagnosis of heart failure (HF) is essential to optimize treatment opportunities that improve symptoms, quality of life, and survival. While most patients consult their general practitioner (GP) prior to HF, the early stages of HF may be difficult to identify. An integrated clinical support tool may aid in identifying patients at high risk of HF. We therefore constructed a prediction model using routine health care data.<h4>Methods</h4>Our study involved a dynamic cohor ...[more]

PMID: 35778772

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Project description:Heart failure (HF) is an important health problem for which multidisciplinary care is recommended, yet few studies involve primary care practitioners in the multidisciplinary management of HF. We set up a multifaceted prospective observational trial, OSCAR-HF, piloting audit and feedback, natriuretic peptide testing at the point of care, and the assistance of a specialist HF nurse in primary care. The aim was to optimize HF care in general practice. This is an analysis at 6 month follow-up of the study interventions of the OSCAR-HF pilot study, a nonrandomized, noncontrolled prospective observational trial conducted in eight Belgian general practices [51 general practitioners (GPs)]. Patients who were assessed by their GP to have HF constituted the OSCAR-HF study population. We used descriptive statistics and mixed-effects modelling for the quantitative analysis and thematic analysis of the focus group interviews. There was a 10.2% increase in the registered HF population after 6 months of follow-up (n = 593) compared with baseline (n = 538) and a 27% increase in objectified HF diagnoses (baseline n = 359 to 456 at T6 M). Natriuretic peptide testing (with or without referral) accounted for 54% (n = 60/111) of the newly registered HF diagnoses. There was no difference in the proportion of patients with HF with reduced ejection fraction who received their target dosage of renin-angiotensin-aldosterone system inhibitors or beta-blockers at 6 months compared with baseline (P = 0.9). Patients who received an HF nurse intervention (n = 53) had significantly worse quality of life at baseline [difference in Minnesota Living with Heart Failure Questionnaire (MLHFQ) score 9.2 points; 95% confidence interval (CI) 4.0, 14] and had a significantly greater improvement in quality-of-life scores at the 6 month follow-up [change in MLHFQ score -9.8 points; 95% CI -15, -4.5] than patients without an HF nurse intervention. GPs found audit and feedback valuable but time intensive. Natriuretic peptides were useful, but the point-of-care test was impractical, and the assistance of an HF nurse was a useful addition to routine HF care. The use of audit and feedback combined with natriuretic peptide testing was a successful strategy to increase the number of registered and objectified HF diagnoses at 6 months. GPs and HF nurses selected patients with worse quality-of-life scores at baseline for the HF nurse intervention, which led to a significantly greater improvement in quality-of-life scores at the 6 month follow-up compared with patients without an HF nurse intervention. The interventions were deemed feasible and useful by the participating GPs with some specific remarks that can be used for optimization. ClinicalTrials.gov (NCT02905786), registered on 14 September 2016 at https://clinicaltrials.gov/.

Project description:AimsIdentifying heart failure (HF) patients in general practice is challenging, and little is known about the current quality of care. We implemented an extended audit from the electronic health records (EHRs) of general practitioners (GPs) to identify HF patients and investigate patient characteristics and quality of care.Methods and resultsThis study describes the baseline results of the OSCAR-HF pilot study in eight general practices (51 GPs) in Flanders, Belgium. This prospective trial ran for 6 months. Interventions included an extended audit, an N-terminal pro-B-type natriuretic peptide point-of-care test, and assistance of a specialist HF nurse. The extended audit searched on risk factors for HF, HF symptoms, signs, and medication in the GPs' EHR to generate a list of possible HF patients. GPs determined which patients had HF. Those HF patients constituted the OSCAR-HF study population. Each patient file was manually revised to extract biomarker measurements, echocardiography data, and quality indicators. An independent panel of experts assessed the validity of GPs' HF diagnoses. Feedback about the validity of the HF diagnosis was given to the GP. Out of 18 011 patients ≥ 40 years, we identified 310 patients with a registered HF diagnosis before the study start (HF prevalence: 1.7%). The extended audit led to a 74% increase in identified HF patients (n = 538, HF prevalence: 3.0%) with a mean age of 79 ± 11 years. The prevalence of HF with reduced ejection fraction (HFrEF) was 20% (n = 110). A high proportion of patients underwent echocardiography in the past 5 years (86%, n = 462). Natriuretic peptides were rarely available in patients' files (19%, n = 100). Medical specialists should improve communication about the HF diagnosis because a specialist diagnosis was present in only 225 patients (42%) while 67% (n = 359) of the HF diagnoses were judged objectified by a panel of experts. Assigning a diagnosis of HF was particularly difficult in HF patients with preserved EF (HFpEF). HFrEF treatment rates with renin-angiotensin-aldosterone system blockers (84%, n = 92) and beta-blockers (86%, n = 94) were very good; however, target doses were hardly reached (34% and 14%, respectively).ConclusionsThis study highlighted the need to improve case finding for HF in general practice and showed that an extended audit in the GPs' EHR was a successful strategy to do so. To improve the quality of HF care in general practice, specific strategies are needed to diagnose HFpEF and to reach target doses of disease-modifying drugs in HFrEF patients.

Project description:BackgroundParents' Evaluation of Developmental Status, (PEDS), is a validated screening tool designed for primary health care clinicians to assess child development. Despite widespread use by local government child-nurse services, PEDS has not been tested in Australian general practice. We examined the effect of an intervention that aimed to use PEDS to improve documented assessment of child developmental status during routine general practice consultations.MethodsThe study took place in a single general practice in Melbourne, Australia. The intervention included training of all general practice staff regarding PEDS processes and provision of PEDS questionnaires, scoring and interpretation forms. Mixed methods incorporated audits of clinical records of young children (1 to ≤ 5 years) before and after the intervention, and written questionnaires and a focus group (informed by the Theoretical Domains Framework and COM-B model) with receptionists, practice nurses and general practitioners.ResultsDocumented developmental status more than doubled after the intervention with almost one in three (30.4%) records documenting the PEDS tool. Overall, staff responses to questionnaires indicated that PEDS processes had been successfully implemented, half of the staff felt PEDS had developed their professional skills and clinicians expressed confidence using the tool (71%). Thematic analysis of the focus group transcript revealed divided reactions to PEDS screening with most barriers arising from general practitioners' motivation to use PEDS tools and perceptions of environmental constraints.ConclusionsA team-practice intervention that applied PEDS training and implementation, more than doubled documented rates of child developmental status during routine visits. Solutions to underlying barriers could be incorporated into a revised training module. Future studies need to test the tool in more methodologically robust studies that include analysis of the outcomes of developmental surveillance and long-term sustainability of PEDS use in practices.

Project description:Imaging has become a routine part of heart failure (HF) investigation. Echocardiography is a first-line test in HF given its availability and it provides valuable diagnostic and prognostic information. Cardiac magnetic resonance (CMR) is an emerging clinical tool in the management of patients with non-ischemic heart failure. Current ACC/AHA/CCS/ESC guidelines advocate its role in the detection of a variety of cardiomyopathies but there is a paucity of high quality evidence to support these recommendations.The primary objective of this study is to compare the diagnostic yield of routine cardiac magnetic resonance versus standard care (that is, echocardiography with only selective use of CMR) in patients with non-ischemic heart failure. The primary hypothesisis that the routine use of CMR will lead to a more specific diagnostic characterization of the underlying etiology of non-ischemic heart failure. This will lead to a reduction in the non-specific diagnoses of idiopathic dilated cardiomyopathy and HF with preserved ejection fraction.Tertiary care sites in Canada and Finland, with dedicated HF and CMR programs, will randomize consecutive patients with new or deteriorating HF to routine CMR or selective CMR. All patients will undergo a standard clinical echocardiogram and the interpreter will assign the most likely HF etiology. Those undergoing CMR will also have a standard examination and will be assigned a HF etiology based upon the findings. The treating physician's impression about non-ischemic HF etiology will be collected following all baseline testing (including echo ± CMR). Patients will be followed annually for 4 years to ascertain clinical outcomes, quality of life and cost. The expected outcome is that the routine CMR arm will have a significantly higher rate of infiltrative, inflammatory, hypertrophic, ischemic and 'other' cardiomyopathy than the selective CMR group.This study will be the first multicenter randomized, controlled trial evaluating the role of CMR in non-ischemic HF. Non-ischemic HF patients will be randomized to routine CMR in order to determine whether there are any gains over management strategies employing selective CMR utilization. The insight gained from this study should improve appropriate CMR use in HF.NCT01281384.

Dataset Information

TARGET-HF: developing a model for detecting incident heart failure among symptomatic patients in general practice using routine health care data.

Background

Methods

Results

Conclusion

Publications

TARGET-HF: developing a model for detecting incident heart failure among symptomatic patients in general practice using routine health care data.

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