Measurement of ECG abnormalities and cardiovascular risk classification: a cohort study of primary care patients in the Netherlands

BackgroundGPs need accurate tools for cardiovascular (CV) risk assessment. Abnormalities in resting electrocardiograms (ECGs) relate to increased CV risk.AimTo determine whether measurement of ECG abnormalities on top of established risk estimation (SCORE) improves CV risk classification in a primary care population.MethodIncident CV events were extracted from the GP records. MEANS algorithm was used to assess ECG abnormalities. Cox proportional hazards modelling was applied to relate ECG abnormalities to CV events. For a prediction model only with SCORE variables, and a model with SCORE+ECG abnormalities, the discriminative value (area under the receiver operator curve [AUC]) and the net reclassification improvement (NRI) were estimated.ResultsA total of 2370 participants aged 38–74 years were included, all eligible for CV risk assessment. During a mean follow-up of 7.8 years, 172 CV events occurred. In 19% of the participants at least one ECG abnormality was found (Lausanne criteria). Presence of atrial fibrillation/flutter (AF) and myocardial infarction (MI) were significantly related to CV events. The AUC of the SCORE risk factors was 0.75 (95% CI = 0.71 to 0.79). Addition of MI or AF resulted in an AUC of 0.76 (95% CI = 0.72 to 0.79) and 0.75 (95% CI = 0.72 to 0.79), respectively. The NRI with the addition of ECG abnormalities was small (MI 1.0%; 95% CI = −3.2% to 6.9%; AF 0.5%; 95% CI = −3.5% to 3.3%).ConclusionPerforming a resting ECG in a primary care population does not seem to improve risk classification when SCORE information — age, sex, smoking, systolic blood pressure, and total cholesterol/HDL ratio — is already available.     

Patient reactions to a web-based cardiovascular risk calculator in type 2 diabetes: a qualitative study in primary care

Background

Use of risk calculators for specific diseases is increasing, with an underlying assumption that they promote risk reduction as users become better informed and motivated to take preventive action. Empirical data to support this are, however, sparse and contradictory.

Aim

To explore user reactions to a cardiovascular risk calculator for people with type 2 diabetes. Objectives were to identify cognitive and emotional reactions to the presentation of risk, with a view to understanding whether and how such a calculator could help motivate users to adopt healthier behaviours and/or improve adherence to medication.

Design and setting

Qualitative study combining data from focus groups and individual user experience. Adults with type 2 diabetes were recruited through website advertisements and posters displayed at local GP practices and diabetes groups.

Method

Participants used a risk calculator that provided individualised estimates of cardiovascular risk. Estimates were based on UK Prospective Diabetes Study (UKPDS) data, supplemented with data from trials and systematic reviews. Risk information was presented using natural frequencies, visual displays, and a range of formats. Data were recorded and transcribed, then analysed by a multidisciplinary group.

Results

Thirty-six participants contributed data. Users demonstrated a range of complex cognitive and emotional responses, which might explain the lack of change in health behaviours demonstrated in the literature.

Conclusion

Cardiovascular risk calculators for people with diabetes may best be used in conjunction with health professionals who can guide the user through the calculator and help them use the resulting risk information as a source of motivation and encouragement.     

Effectiveness of nurse-delivered cardiovascular risk management in primary care: a randomised trial

Background

A substantial part of cardiovascular disease prevention is delivered in primary care. Special attention should be paid to the assessment of cardiovascular risk factors. According to the Dutch guideline for cardiovascular risk management, the heavy workload of cardiovascular risk management for GPs could be shared with advanced practice nurses.

Aim

To investigate the clinical effectiveness of practice nurses acting as substitutes for GPs in cardiovascular risk management after 1 year of follow-up.

Design of study

Prospective pragmatic randomised trial.

Setting

Primary care in the south of the Netherlands. Six centres (25 GPs, six nurses) participated.

Method

A total of 1626 potentially eligible patients at high risk for cardiovascular disease were randomised to a practice nurse group (n = 808) or a GP group (n = 818) in 2006. In total, 701 patients were included in the trial. The Dutch guideline for cardiovascular risk management was used as the protocol, with standardised techniques for risk assessment. Changes in the following risk factors after 1 year were measured: lipids, systolic blood pressure, and body mass index. In addition, patients in the GP group received a brief questionnaire.

Results

A larger decrease in the mean level of risk factors was observed in the practice nurse group compared with the GP group. After controlling for confounders, only the larger decrease in total cholesterol in the practice nurse group was statistically significant (P = 0.01, two-sided).

Conclusion

Advanced practice nurses are achieving results, equal to or better than GPs for the management of risk factors. The findings of this study support the involvement of practice nurses in cardiovascular risk management in Dutch primary care.     

The delivery of prevention programmes for cardiovascular disease and chronic obstructive pulmonary disease in Lodz by primary care physicians

Introduction

In Poland, the National Health Fund (NHF) has contracted preventative interventions in primary health care (PHC) delivered by family physicians, internists, paediatricians and other physicians. The aim of the study was determining whether there is a correlation between PHC physicians’ specialisation and the rate of interventions delivered for the prevention of cardiovascular disease (CVD) and chronic obstructive pulmonary disease (COPD).

Material and methods

A retrospective observational study of the NHF 2005 data related to the delivery of prevention programmes using Spearman''s rank correlation coefficient (rho).

Results

Out of 133 PHC providers in Lodz, 25 participated in the cardiovascular disease (CVD) prevention programme, 22 in the chronic obstructive pulmonary disease (COPD) prevention programme at a basic level, and 20 at an extended level (with contract completion rates respectively of 55.2, 47.8 and 51.5%). When all three prevention programmes were analysed together, the correlation between the rate of preventative interventions by physicians with a particular specialisation and the contract completion rate was positive (rho > 0) only for family physicians.

Conclusions

Participation of primary health care providers in preventative programmes and the rates of their delivery of interventions were low despite additional funding. The correlation between the proportion of physicians with a particular specialisation, involved in CVD and COPD prevention interventions delivery, and the rate of the programme accomplishment was the strongest for family physicians.     

Ethnic differences in primary care management of diabetes and cardiovascular disease in people with serious mental illness

Background

Patients with serious mental illness (SMI) have high rates of cardiovascular disease (CVD). In contrast to widespread perception, their access to effective chronic disease management is as high as for the general population. However, previous studies have not included analysis by ethnicity.

Aim

To identify differences in CVD and diabetes management, by ethnicity, among people with SMI.

Design and setting

Three inner east London primary care trusts with an ethnically diverse and socially deprived population. Data were obtained from 147 of 151 general practices.

Method

Coded demographic and clinical data were obtained from GP electronic health records using EMIS Web. The sample used was the GP registered population on diabetes or CVD registers (52 620); of these, 1223 also had SMI.

Results

The population prevalence of CVD and diabetes is 7.2%; this rises to 18% among those with SMI. People with SMI and CVD or diabetes were found to be as likely to achieve clinical targets as those without SMI. Blood pressure control was significantly better in people with SMI; however, they were more likely to smoke and have a body mass index above 30 kg/m². Ethnic differences in care were identified, with south Asian individuals achieving better cholesterol control and black African or Caribbean groups achieving poorer blood pressure control.

Conclusion

Risk factor management for those with SMI shows better control of blood pressure and glycosylated haemoglobin than the general population. However, smoking and obesity rates remain high and should be the target of public health programmes. Ethnic differences in management mirror those in the general population. Ethnic monitoring for vulnerable groups provides evidence to support schemes to reduce health inequalities.     

Introducing genetic testing for cardiovascular disease in primary care: a qualitative study

Background

While primary care systematically offers conventional cardiovascular risk assessment, genetic tests for coronary heart disease (CHD) are increasingly commercially available to patients. It is unclear how individuals may respond to these new sources of risk information.

Aim

To explore how patients who have had a recent conventional cardiovascular risk assessment, perceive additional information from genetic testing for CHD.

Design and setting

Qualitative interview study in 12 practices in Nottinghamshire from both urban and rural settings.

Method

Interviews were conducted with 29 adults, who consented to genetic testing after having had a conventional cardiovascular risk assessment.

Results

Individuals’ principal motivation for genetic testing was their family history of CHD and a desire to convey the results to their children. After testing, however, there was limited recall of genetic test results and scepticism about the value of informing their children. Participants dealt with conflicting findings from the genetic test, family history, and conventional assessment by either focusing on genetic risk or environmental lifestyle factors. In some participants, genetic test results appeared to reinforce healthy behaviour but others were falsely reassured, despite having an ‘above-average’ conventional cardiovascular risk score.

Conclusion

Although genetic testing was acceptable, participants were unclear how to interpret genetic risk results. To facilitate healthy behaviour, health professionals should explore patients’ understanding of genetic test results in light of their family history and conventional risk assessment.     

Automated electronic reminders to facilitate primary cardiovascular disease prevention: randomised controlled trial

Background

Primary care databases contain cardiovascular disease risk factor data, but practical tools are required to improve identification of at-risk patients.

Aim

To test the effects of a system of electronic reminders (the ‘e-Nudge’) on cardiovascular events and the adequacy of data for cardiovascular risk estimation.

Design of study

Randomised controlled trial.

Setting

Nineteen general practices in the West Midlands, UK.

Method

The e-Nudge identifies four groups of patients aged over 50 years on the basis of estimated cardiovascular risk and adequacy of risk factor data in general practice computers. Screen messages highlight individuals at raised risk and prompt users to complete risk profiles where necessary. The proportion of the study population in the four groups was measured, as well as the rate of cardiovascular events in each arm after 2 years.

Results

Over 38 000 patients'' electronic records were randomised. The intervention led to an increase in the proportion of patients with sufficient data who were identifiably at risk, with a difference of 1.94% compared to the control group (95% confidence interval [CI] = 1.38 to 2.50, P<0.001). A corresponding reduction occurred in the proportion potentially at risk but requiring further data for a risk estimation (difference = –3.68%, 95% CI = –4.53 to –2.84, P<0.001). No significant difference was observed in the incidence of cardiovascular events (rate ratio = 0.96, 95% CI = 0.85 to 1.10, P = 0.59).

Conclusion

Automated electronic reminders using routinely collected primary care data can improve the adequacy of cardiovascular risk factor information during everyday practice and increase the visibility of the at-risk population.     

Randomised controlled trial of intensive multifactorial treatment for cardiovascular risk in patients with screen-detected type 2 diabetes: 1-year data from the ADDITION Netherlands study

Background

A growing body of evidence suggests that earlier diagnosis and treatment of diabetes may be beneficial; however, definitive evidence is lacking.

Aim

To evaluate the effectiveness of an intensified multifactorial treatment on cardiovascular risk factors in patients with screen-detected type 2 diabetes.

Design of study

Randomised controlled trial.

Setting

Seventy-nine general practices in the southwestern region of the Netherlands.

Method

In this randomised trial, patients diagnosed with diabetes by screen-detection were assigned to intensified (n = 255) or routine treatment (n = 243), and followed over 1 year. Intensified treatment consisted of pharmacological treatment combined with lifestyle education to achieve haemoglobin A1c (HbA1c) <7.0%, blood pressure <135/85 mmHg, and cholesterol <5.0 mmol/l (4.5 mmol/l if cardiovascular disease was present). Health-related quality of life (HRQoL) was assessed using the Short Form (SF)-36. Analyses were performed using generalised estimating equations models.

Results

Changes in body mass index were 0.2 (routine care) versus −1.4 kg/m² (intensified treatment), P<0.001; systolic blood pressure −19 versus −33 mmHg, P<0.001; diastolic blood pressure −7 versus −12 mmHg, P<0.001; HbA1c −0.9% versus −1.1%, P = 0.03; cholesterol −0.5 versus −1.2 mmol/l, P<0.001; high-density lipoprotein cholesterol 0.1 versus 0.1 mmol/l, P = 0.26; low-density lipoprotein cholesterol −0.5 versus −1.0 mmol/l, P<0.001; triglycerides −0.3 versus −0.4 mmol/l, P = 0.71. No difference in HRQoL between the two groups was reported.

Conclusion

Intensified multifactorial treatment of patients with screen-detected diabetes in general practice reduces cardiovascular risk factor levels significantly without worsening HRQoL.     

Development and evaluation of a brief self-completed family history screening tool for common chronic disease prevention in primary care

Background

Family history is an important risk factor for many common chronic diseases, but it remains underutilised for diagnostic assessment and disease prevention in routine primary care.

Aim

To develop and validate a brief self-completed family history questionnaire (FHQ) for systematic primary care assessment for family history of diabetes, ischaemic heart disease, breast cancer, and colorectal cancer.

Design and setting

Two-stage diagnostic validation study in 10 general practices in eastern England.

Method

Participants aged 18–50 years were identified via random sampling from electronic searches of general practice records. Participants completed a FHQ then had a three-generational ‘gold standard’ pedigree taken, to determine disease risk category. In stage 1, the FHQ comprised 12 items; in stage 2 the shorter 6-item FHQ was validated against the same ‘gold standard’.

Results

There were 1147 participants (stage 1: 618; stage 2: 529). Overall, 32% were at increased risk of one or more marker conditions (diabetes 18.9%, ischaemic heart disease 13.3%, breast cancer 6.2%, colorectal cancer 2.2%). The shorter 6-item FHQ performed very well for all four conditions: pooled data from both stages show diabetes, sensitivity = 98%, specificity = 94%; ischaemic heart disease, sensitivity = 93%, specificity = 81%; breast cancer, sensitivity = 81%, specificity = 83%; colorectal cancer, sensitivity = 96%, specificity = 88%, with an area under the receiver operating characteristic curve of 0.90 for males and 0.89 for females.

Conclusion

This brief self-completed FHQ shows good diagnostic accuracy for identifying people at higher risk of four common chronic diseases. It could be used in routine primary care to identify patients who would be most likely to benefit from a more detailed pedigree and risk assessment, and consequent management strategies.     

Screening for increased cardiometabolic risk in primary care: a systematic review

Background

Many programmes to detect and prevent cardiovascular disease (CVD) have been performed, but the optimal strategy is not yet clear.

Aim

To present a systematic review of cardiometabolic screening programmes performed among apparently healthy people (not yet known to have CVD, diabetes, or cardiometabolic risk factors) and mixed populations (apparently healthy people and people diagnosed with risk factor or disease) to define the optimal screening strategy.

Design and setting

Systematic review of studies performed in primary care in Western countries.

Method

MEDLINE, Embase, and CINAHL databases were searched for studies screening for increased cardiometabolic risk. Exclusion criteria were studies designed to assess prevalence of risk factors without follow-up or treatment; without involving a GP; when fewer than two risk factors were considered as the primary outcome; and studies constrained to ethnic minorities.

Results

The search strategy yielded 11 445 hits; 26 met the inclusion criteria. Five studies (1995–2012) were conducted in apparently healthy populations: three used a stepwise method. Response rates varied from 24% to 79%. Twenty-one studies (1967–2012) were performed in mixed populations; one used a stepwise method. Response rates varied from 50% to 75%. Prevalence rates could not be compared because of heterogeneity of used thresholds and eligible populations. Observed time trends were a shift from mixed to apparently healthy populations, increasing use of risk scores, and increasing use of stepwise screening methods.

Conclusion

The optimal screening strategy in primary care is likely stepwise, in apparently healthy people, with the use of risk scores. Increasing public awareness and actively involving GPs might facilitate screening efficiency and uptake.     

Predicted 10-year risk of cardiovascular disease is influenced by the risk equation adopted: a cross-sectional analysis

Background

Validated risk equations are currently recommended to assess individuals to determine those at ‘high risk’ of cardiovascular disease (CVD). However, there is no longer a risk ‘equation of choice’.

Aim

This study examined the differences between four commonly-used CVD risk equations.

Design and setting

Cross-sectional analysis of individuals who participated in a workplace-based risk assessment in Carmarthenshire, south Wales.

Method

Analysis of 790 individuals (474 females, 316 males) with no prior diagnosis of CVD or diabetes. Ten-year CVD risk was predicted by entering the relevant variables into the QRISK2, Framingham Lipids, Framingham BMI, and JBS2 risk equations.

Results

The Framingham BMI and JBS2 risk equations predicted a higher absolute risk than the QRISK2 and Framingham Lipids equations, and CVD risk increased concomitantly with age irrespective of which risk equation was adopted. Only a small proportion of females (0–2.1%) were predicted to be at high risk of developing CVD using any of the risk algorithms. The proportion of males predicted at high risk ranged from 5.4% (QRISK2) to 20.3% (JBS2). After age stratification, few differences between isolated risk factors were observed in males, although a greater proportion of males aged ≥50 years were predicted to be at ‘high risk’ independent of risk equation used.

Conclusions

Different risk equations can influence the predicted 10-year CVD risk of individuals. More males were predicted at ‘high risk’ using the JBS2 or Framingham BMI equations. Consideration should also be given to the number of isolated risk factors, especially in younger adults when evaluating CVD risk.     

Multimorbidity and risk among patients with established cardiovascular disease: a cohort study

BACKGROUND: Most patients managed in primary care have more than one condition. Multimorbidity presents challenges for the patient and the clinician, not only in terms of the process of care, but also in terms of management and risk assessment. AIM: To examine the effect of the presence of chronic kidney disease and diabetes on mortality and morbidity among patients with established cardiovascular disease. DESIGN OF STUDY: Retrospective cohort study. SETTING: Random selection of 35 general practices in the west of Ireland. METHOD: A practice-based sample of 1609 patients with established cardiovascular disease was generated in 2000-2001 and followed for 5 years. The primary endpoint was death from any cause and the secondary endpoint was a cardiovascular composite endpoint that included death from a cardiovascular cause or any of the following cardiovascular events: myocardial infarction, heart failure, peripheral vascular disease, or stroke. RESULTS: Risk of death from any cause was significantly increased in patients with increased multimorbidity (P<0.001), as was the risk of the cardiovascular composite endpoint (P<0.001). Patients with cardiovascular disease and diabetes had a similar survival pattern to those with cardiovascular disease and chronic kidney disease, but experienced more cardiovascular events. CONCLUSION: Level of multimorbidity is an independent predictor of prognosis among patients with established cardiovascular disease. In such patients, the presence of chronic kidney disease carries a similar mortality risk to diabetes. Multimorbidity may be a useful factor in prioritising management of patients in the community with significant cardiovascular risk.     

Change in cardiovascular risk factors following early diagnosis of type 2 diabetes: a cohort analysis of a cluster-randomised trial

Background

There is little evidence to inform the targeted treatment of individuals found early in the diabetes disease trajectory.

Aim

To describe cardiovascular disease (CVD) risk profiles and treatment of individual CVD risk factors by modelled CVD risk at diagnosis; changes in treatment, modelled CVD risk, and CVD risk factors in the 5 years following diagnosis; and how these are patterned by socioeconomic status.

Design and setting

Cohort analysis of a cluster-randomised trial (ADDITION-Europe) in general practices in Denmark, England, and the Netherlands.

Method

A total of 2418 individuals with screen-detected diabetes were divided into quartiles of modelled 10-year CVD risk at diagnosis. Changes in treatment, modelled CVD risk, and CVD risk factors were assessed at 5 years.

Results

The largest reductions in risk factors and modelled CVD risk were seen in participants who were in the highest quartile of modelled risk at baseline, suggesting that treatment was offered appropriately. Participants in the lowest quartile of risk at baseline had very similar levels of modelled CVD risk at 5 years and showed the least variation in change in modelled risk. No association was found between socioeconomic status and changes in CVD risk factors, suggesting that treatment was equitable.

Conclusion

Diabetes management requires setting of individualised attainable targets. This analysis provides a reference point for patients, clinicians, and policymakers when considering goals for changes in risk factors early in the course of the disease that account for the diverse cardiometabolic profile present in individuals who are newly diagnosed with type 2 diabetes.     

Screening for cardiovascular risk factors and self-rated health in a community setting: a cross-sectional study in Finland

Background

Self-rated health is an independent predictor of mortality. However, general health checks in populations unselected for disease or risk factors have not been shown to reduce mortality or morbidity.

Aim

To describe new comorbidities and cardiovascular risk factors in apparently healthy people and to relate this to their self-rated health.

Design and setting

A targeted screening programme identified 462 middle-aged people with cardiovascular risk factors without previously diagnosed chronic disease in a Finnish community in 2005–2006.

Method

Home blood pressure monitoring, oral glucose tolerance test, estimated glomerular filtration rate, and ankle brachial index were used to detect previously undiagnosed conditions. The Short-Form Health Survey and Beck’s Depression Inventory were completed by participants before the diagnostic tests were performed.

Results

The prevalence of previously undiagnosed disease was: hypertension 113/462 (24% [95% confidence interval {CI} = 21% to 29%]), diabetes 19/462 (4% [95% CI = 2% to 6%]), renal insufficiency 23/462 (5% [95% CI = 3% to 7%]), and peripheral arterial disease 17/462 (4% [95% CI = 2% to 5%]). Of the 139 participants who regarded their health as ‘fair–poor’, 60 (43%) had a previously undetected condition affecting their vasculature.

Conclusion

Out of the screen-detected apparently healthy cardiovascular risk subjects, one in three had undiagnosed hypertension, diabetes, peripheral arterial disease, or renal insufficiency. Those individuals experiencing ill health tended to be at high risk of cardiovascular problems.     

Non-pharmacological intervention for gastro-oesophageal reflux disease in primary care

Background

Up to 50% of patients with gastro-oesophageal reflux disease (GORD) have persistent symptoms despite taking proton pump inhibitors (PPIs) regularly. Lifestyle advice is available to patients, but no previous UK study has tested a behavioural change intervention to help patients self-manage their symptoms.

Aim

To determine whether a primary care, nurse-led intervention to address behaviours that promote GORD symptoms results in symptom improvement, an increased sense of control, and a reduced requirement for prescribed medication.

Design of study

A group intervention focusing on diet and stress was delivered to patients with reflux symptoms, recruited in rural general practices.

Setting

General practice in England.

Method

Forty-two subjects (male 19, female 23) aged 31–86 years took part. Pre- and post-intervention data were gathered using the Brief Illness Perception Questionnaire (BIPQ), the GORD Impact Scale (GIS), and the Hospital Anxiety and Depression Scale (HAD).

Results

There was a significant improvement (BIPQ P<0.001, GIS P = 0.008) 3 months after the intervention. There was no reduction in PPI use or change in HAD score. The greatest improvements were demonstrated in domains measuring the patient''s sense of control, perception of symptoms, and understanding of reflux. Patients reported benefits including understanding relevant anatomy and physiology, learning behavioural techniques to change eating patterns and manage stress, identifying actual and potential triggers, and developing and executing action plans.

Conclusion

An education programme for GORD enhances self-management, brings perceived symptom improvement, and promotes a sense of control at 3 months. This type of behavioural intervention, alongside medical management, could improve symptom control for reflux patients with refractory symptoms and should be the subject of a controlled trial.     

Symptoms and risk factors to identify women with suspected cancer in primary care: derivation and validation of an algorithm

Background

Early diagnosis of cancer could improve survival so better tools are needed.

Aim

To derive an algorithm to estimate absolute risks of different types of cancer in women incorporating multiple symptoms and risk factors.

Design and setting

Cohort study using data from 452 UK QResearch® general practices for development and 224 for validation.

Method

Included patients were females aged 25–89 years. The primary outcome was incident diagnosis of cancer over the next 2 years (lung, colorectal, gastro-oesophageal, pancreatic, ovarian, renal tract, breast, blood, uterine, cervix, other). Factors examined were: ‘red flag’ symptoms including weight loss, abdominal pain, indigestion, dysphagia, abnormal bleeding, lumps; general symptoms including tiredness, constipation; and risk factors including age, family history, smoking, alcohol intake, deprivation, body mass index (BMI), and medical conditions. Multinomial logistic regression was used to develop a risk equation to predict cancer type. Performance was tested on a separate validation cohort.

Results

There were 23 216 cancers from 1 240 864 females in the derivation cohort. The final model included risk factors (age, BMI, chronic pancreatitis, chronic obstructive pulmonary disease, diabetes, family history, alcohol, smoking, deprivation); 23 symptoms, anaemia and venous thrombo-embolism. The model was well calibrated with good discrimination. The receiver operating curve statistics were lung (0.91), colorectal (0.89), gastro-oesophageal (0.90), pancreas (0.87), ovary (0.84), renal (0.90), breast (0.88), blood (0.79), uterus (0.91), cervix (0.73), other cancer (0.82). The 10% of females with the highest risks contained 54% of all cancers diagnosed over 2 years.

Conclusion

The algorithm has good discrimination and could be used to identify those at highest risk of cancer to facilitate more timely referral and investigation.