A 20-year population study of peripartum cardiomyopathy.

BACKGROUND AND AIMS: The epidemiology of peripartum cardiomyopathy (PPCM) in Europe is poorly understood and data on long-term outcomes are lacking. A retrospective, observational, population-level study of validated cases of PPCM in Scotland from 1998 to 2017 was conducted. METHODS: Women hospitalized with presumed de novo left ventricular systolic dysfunction around the time of pregnancy and no clear alternative cause were included. Each case was matched to 10 controls. Incidence and risk factors were identified. Morbidity and mortality were examined in mothers and children. RESULTS: The incidence of PPCM was 1 in 4950 deliveries. Among 225 women with PPCM, obesity, gestational hypertensive disorders, and multi-gestation were found to be associated with having the condition. Over a median of 8.3 years (9.7 years for echocardiographic outcomes), 8% of women with PPCM died and 75% were rehospitalized for any cause at least once. Mortality and rehospitalization rates in women with PPCM were ∼12- and ∼3-times that of controls, respectively. The composite of all-cause death, mechanical circulatory support, or cardiac transplantation occurred in 14%. LV recovery occurred in 76% and, of those who recovered, 13% went on to have a decline in LV systolic function despite initial recovery. The mortality rate for children born to women with PPCM was ∼5-times that of children born to controls and they had an ∼3-times greater incidence of cardiovascular disease over a median of 8.8 years. CONCLUSIONS: PPCM affected 1 in 4950 women around the time of pregnancy. The condition is associated with considerable morbidity and mortality for the mother and child. There should be a low threshold for investigating at-risk women. Long term follow-up, despite apparent recovery, should be considered.

What do we mean by complex percutaneous coronary intervention? An assessment of agreement amongst interventional cardiologists for defining complexity.

BACKGROUND: In the last decade, percutaneous coronary intervention (PCI) has evolved toward the treatment of complex disease in patients with multiple comorbidities. Whilst there are several definitions of complexity, it is unclear whether there is agreement between cardiologists in classifying complexity of cases. Inconsistent identification of complex PCI can lead to significant variation in clinical decision-making. AIM: This study aimed to determine the inter-rater agreement in rating the complexity and risk of PCI procedures. METHOD: An online survey was designed and disseminated amongst interventional cardiologists by the European Association of Percutaneous Cardiovascular Intervention (EAPCI) board. The survey presented four patient vignettes, with study participants assessing these cases to classify their complexity. RESULTS: From 215 respondents, there was poor inter-rater agreement in classifying the complexity level (k = 0.1) and a fair agreement (k = 0.31) in classifying the risk level. The experience level of participants did not show any significant impact on the inter-rater agreement of rating the complexity level and the risk level. There was good level of agreement between participants in terms of rating 26 factors for classifying complex PCI. The top five factors were (1) impaired left ventricular function, (2) concomitant severe aortic stenosis, (3) last remaining vessel PCI, (4) requirement fort calcium modification and (5) significant renal impairment. CONCLUSION: Agreement among cardiologists in classifying complexity of PCI is poor, which may lead to suboptimal clinical decision-making, procedural planning as well as long-term management. Consensus is needed to define complex PCI, and this requires clear criteria incorporating both lesion and patient characteristics.

A rapid review of the impact of COVID-19 on the mental health of healthcare workers: implications for supporting psychological well-being.

BACKGROUND: Health and social care workers (HSCWs) have carried a heavy burden during the COVID-19 crisis and, in the challenge to control the virus, have directly faced its consequences. Supporting their psychological wellbeing continues, therefore, to be a priority. This rapid review was carried out to establish whether there are any identifiable risk factors for adverse mental health outcomes amongst HSCWs during the COVID-19 crisis. METHODS: We undertook a rapid review of the literature following guidelines by the WHO and the Cochrane Collaboration's recommendations. We searched across 14 databases, executing the search at two different time points. We included published, observational and experimental studies that reported the psychological effects on HSCWs during the COVID-19 pandemic. RESULTS: The 24 studies included in this review reported data predominantly from China (18 out of 24 included studies) and most sampled urban hospital staff. Our study indicates that COVID-19 has a considerable impact on the psychological wellbeing of front-line hospital staff. Results suggest that nurses may be at higher risk of adverse mental health outcomes during this pandemic, but no studies compare this group with the primary care workforce. Furthermore, no studies investigated the psychological impact of the COVID-19 pandemic on social care staff. Other risk factors identified were underlying organic illness, gender (female), concern about family, fear of infection, lack of personal protective equipment (PPE) and close contact with COVID-19. Systemic support, adequate knowledge and resilience were identified as factors protecting against adverse mental health outcomes. CONCLUSIONS: The evidence to date suggests that female nurses with close contact with COVID-19 patients may have the most to gain from efforts aimed at supporting psychological well-being. However, inconsistencies in findings and a lack of data collected outside of hospital settings, suggest that we should not exclude any groups when addressing psychological well-being in health and social care workers. Whilst psychological interventions aimed at enhancing resilience in the individual may be of benefit, it is evident that to build a resilient workforce, occupational and environmental factors must be addressed. Further research including social care workers and analysis of wider societal structural factors is recommended.

Longitudinal evaluation of the effects of illness perceptions and beliefs about cardiac rehabilitation on quality of life of patients with coronary artery disease and their caregivers.

BACKGROUND: Patients' negative illness perceptions and beliefs about cardiac rehabilitation (CR) can influence uptake and adherence to CR. Little is known about the interpartner influence of these antecedent variables on quality of life of patients with coronary artery disease (CAD) and their family caregivers. The aims of the study were: 1) to assess differences in illness perceptions, beliefs about CR and quality of life between patients with CAD and their family caregivers upon entry to a CR programme and at 6 months follow-up; and 2) to examine whether patients' and caregivers' perceptions of the patient's illness and beliefs about CR at baseline predict their own and their partner's quality of life at 6 months. METHODS: In this longitudinal study of 40 patient-caregiver dyads from one CR service, patients completed the Brief Illness Perception Questionnaire and Beliefs about Cardiac Rehabilitation Questionnaire at baseline and 6 months; and caregivers completed these questionnaires based on their views about the patient's illness and CR. The Short-Form 12 Health Survey was used to assess patients' and caregivers' perceived health status. Dyadic data were analysed using the Actor-Partner Interdependence Model. RESULTS: Most patients (70%) were men, mean age 62.45 years; and most caregivers (70%) were women, mean age 59.55 years. Caregivers were more concerned about the patient's illness than the patients themselves; although they had similar scores for beliefs about CR. Patients had poorer physical health than caregivers, but their level of mental health was similar. Caregivers' poorer mental health at 6 months was predicted by the patient's perceptions of timeline and illness concern (i.e. partner effects). Patient's and caregiver's illness perceptions and beliefs about CR were associated with their own physical and mental health at 6 months (i.e. actor effects). CONCLUSIONS: Overall, the patients and caregivers had similar scores for illness perceptions and beliefs about CR. The actor and partner effect results indicate a need to focus on specific illness perceptions and beliefs about CR, targeting both the individual and the dyad, early in the rehabilitation process to help improve patients and caregivers physical and mental health (outcomes).

Longitudinal study of the relationship between patients' medication adherence and quality of life outcomes and illness perceptions and beliefs about cardiac rehabilitation.

BACKGROUND: Adherence to medication regimens is essential for preventing and reducing adverse outcomes among patients with coronary artery disease (CAD). Greater understanding of the relation between negative illness perceptions, beliefs about cardiac rehabilitation (CR) and medication adherence may help inform future approaches to improving medication adherence and quality of life (QoL) outcomes. The aims of the study are: 1) to compare changes in illness perceptions, beliefs about CR, medication adherence and QoL on entry to a CR programme and 6 months later; 2) to examine associations between patients' illness perceptions and beliefs about CR at baseline and medication adherence and QoL at 6 months. METHODS: A longitudinal study of 40 patients with CAD recruited from one CR service in Scotland. Patients completed the Medication Adherence Report Scale, Brief Illness Perception Questionnaire, Beliefs about CR questionnaire and the Short-Form 12 Health Survey. Data were analysed using the Wilcoxon Signed Ranks test, Pearson Product Moment correlation and Bayesian multiple logistic regression. RESULTS: Most patients were men (70%), aged 62.3 mean (SD 7.84) years. Small improvements in 'perceived suitability' of CR at baseline increased the odds of being fully adherent to medication by approximately 60% at 6 months. Being fully adherent at baseline increased the odds of staying so at 6 months by 13.5 times. 'Perceived necessity, concerns for exercise and practical barriers' were negatively associated with reductions in the probability of full medication adherence of 50, 10, and 50%. Small increases in concerns about exercise decreased the odds of better physical health at 6 months by about 50%; and increases in practical barriers decreased the odds of better physical health by about 60%. Patients perceived fewer consequences of their cardiac disease at 6 months. CONCLUSIONS: Patients' beliefs on entry to a CR programme are especially important to medication adherence at 6 months. Negative beliefs about CR should be identified early in CR to counteract any negative effects on QoL. Interventions to improve medication adherence and QoL outcomes should focus on improving patients' negative beliefs about CR and increasing understanding of the role of medication adherence in preventing a future cardiac event.

Establishing the efficacy of interventions to improve health literacy and health behaviours: a systematic review.

BACKGROUND: The primary aim of this review was to establish whether health literacy interventions, in adults, are effective for improving health literacy. Two secondary aims assessed the impact of health literacy interventions on health behaviours and whether health literacy interventions have been conducted in cardiovascular patients. METHODS: A systematic review (Prospero registration: CRD42018110772) with no start date running through until April 2020. Eligible studies were conducted in adults and included a pre/post measure of health literacy. Medline, Embase, Eric, PsychINFO, CINAHL, Psychology and Behavioural Science, HMIC, Web of Science, Scopus, Social Care Online, NHS Scotland Journals, Social Policy and Practice, and Global Health were searched. Two thousand one hundred twenty-seven papers were assessed, and 57 full text papers screened to give 22 unique datasets from 23 papers. Risk of bias was assessed regarding randomisation, allocation sequence concealment, blinding, incomplete outcome data, selective outcome reporting and other biases. Intervention reporting quality was assessed using the TIDieR checklist. RESULTS: Twenty-two studies were included reporting on 10,997 participants in nine countries. The majority of studies (14/22) were published in 2018 or later. Eight studies (n = 1268 participants) also reported on behavioural outcomes. Health literacy interventions resulted in improvements in at least some aspect of health literacy in 15/22 studies (n = 10,180 participants) and improved behavioural outcomes in 7/8 studies (n = 1209 participants). Only two studies were conducted with cardiovascular patients. All studies were at risk of bias with 18 judged as high risk. In addition, there was poor reporting of intervention content with little explication of the theoretical basis for the interventions. CONCLUSIONS: Health literacy interventions can improve health literacy and can also lead to changes in health behaviours. Health literacy interventions offer a way to improve outcomes for populations most at risk of health inequalities. Health literacy is a developing field with very few interventions using clear theoretical frameworks. Closer links between health literacy and behaviour change theories and frameworks could result in higher quality and more effective interventions. PROSPERO REGISTRATION: Prospero registration: CRD42018110772.

Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: A systematic review and meta-analysis.

INTRODUCTION: Electrode misplacement and interchange errors are known problems when recording the 12­lead electrocardiogram (ECG). Automatic detection of these errors could play an important role for improving clinical decision making and outcomes in cardiac care. The objectives of this systematic review and meta-analysis is to 1) study the impact of electrode misplacement on ECG signals and ECG interpretation, 2) to determine the most challenging electrode misplacements to detect using machine learning (ML), 3) to analyse the ML performance of algorithms that detect electrode misplacement or interchange according to sensitivity and specificity and 4) to identify the most commonly used ML technique for detecting electrode misplacement/interchange. This review analysed the current literature regarding electrode misplacement/interchange recognition accuracy using machine learning techniques. METHOD: A search of three online databases including IEEE, PubMed and ScienceDirect identified 228 articles, while 3 articles were included from additional sources from co-authors. According to the eligibility criteria, 14 articles were selected. The selected articles were considered for qualitative analysis and meta-analysis. RESULTS: The articles showed the effect of lead interchange on ECG morphology and as a consequence on patient diagnoses. Statistical analysis of the included articles found that machine learning performance is high in detecting electrode misplacement/interchange except left arm/left leg interchange. CONCLUSION: This review emphasises the importance of detecting electrode misplacement detection in ECG diagnosis and the effects on decision making. Machine learning shows promise in detecting lead misplacement/interchange and highlights an opportunity for developing and operationalising deep learning algorithms such as convolutional neural network (CNN) to detect electrode misplacement/interchange.

Percutaneous treatment of a massive saphenous vein graft aneurysm.

Saphenous vein graft (SVG) aneurysms are a rare, frequently late presenting, potentially fatal complication of coronary artery bypass graft (CABG) surgery. They are often discovered incidentally during radiological tasks such as chest x-ray or CT but can present clinically with symptoms such as worsening angina and breathlessness as well as complications such as rupture or myocardial infarction. Given the risks if left untreated, consideration should be given to treatment either through percutaneous routes or open surgery. However, because of a lack of strong evidence, there are no definitive guidelines on the treatment of SVG aneurysms. We describe a patient with an extensive cardiac surgical history who presented with angina and breathlessness and was found to have a large SVG aneurysm, subsequently successfully treated with percutaneous coronary intervention with covered stents.

Prescribers' views and experiences of using direct acting oral anticoagulants in the management of nonvalvular atrial fibrillation: A survey in remote and rural Scotland.

AIMS: A recent systematic review highlighted the lack of robust studies on prescribers' perspectives of direct-acting oral anticoagulants (DOACs) for nonvalvular atrial fibrillation. The aim was to determine prescribers' views and experiences of prescribing DOACs. METHODS: A cross-sectional survey of prescribers in a remote and rural area of Scotland. Survey items were: demographics; prescribing of DOACs; views of potential influences on DOAC prescribing; knowledge of prescribing guidelines; and experiences. Items on potential influences were based on the Theoretical Domains Framework. Data were analysed using descriptive and inferential statistics, and content analysis of responses to open questions. Principal component analysis was performed on the items of potential influences. RESULTS: In total, 154 responses were received, 120 (77.9%) from doctors, 18 (11.7%) from nurse prescribers and 10 (6.4%) from pharmacist prescribers (6 missing). Principal component analysis of the Theoretical Domains Framework items of potential influences gave 4 components. Component scores for (i) role of professionals, their knowledge and skills and (ii) influences on prescribing were positive. Those for (iii) consequences of prescribing and (iv) monitoring for safety and effectiveness were more neutral. There were low levels of agreement for statements relating to DOACs being more effective, safer and cost-effective than warfarin. There were similar responses around the complexity of bleeding management and detection of over and under-anticoagulation. CONCLUSION: This study has identified several key issues of DOAC prescribing (e.g. bleeding management) hence further emphasis is required in continuing professional development and during guideline implementation and evaluation.

An exploratory analysis investigating blood protein biomarkers to augment ECG diagnosis of ACS.

BACKGROUND: Acute Coronary Syndrome (ACS) is currently diagnosed using a 12­lead Electrocardiogram (ECG). Our recent work however has shown that interpretation of the 12­lead ECG is complex and that clinicians can be sub-optimal in their interpretation. Additionally, ECG does not always identify acute total occlusions in certain patients. PURPOSE: The aim of the present study was to undertake an exploratory analysis to compare protein expression profiles of ACS patients that may in the future augment ECG diagnosis. METHODS: Patients were recruited consecutively at the cardiac catheterization laboratory at Altnagelvin Hospital over a period of 6 months. A low risk control group was recruited by advertisement. Blood samples were analysed using the multiplex proximity extension assays by OLINK proteomics. Support vector machine (SVM) learning was used as a classifier to distinguish between patient groups on training data. The ST segment elevation level was extracted from each ECG for a subset of patients and combined with the protein markers. Quadratic SVM (QSVM) learning was then used as a classifier to distinguish STEMI from NSTEMI on training and test data. RESULTS: Of the 344 participants recruited, 77 were initially diagnosed with NSTEMI, 7 with STEMI, and 81 were low risk controls. The other participants were those diagnosed with angina (stable and unstable) or non-cardiac patients. Of the 368 proteins analysed, 20 proteins together could significantly differentiate between patients with ACS and patients with stable angina (ROC-AUC = 0.96). Six proteins discriminated significantly between the stable angina and the low risk control groups (ROC-AUC = 1.0). Additionally, 16 proteins together perfectly discriminated between the STEMI and NSTEMI patients (ROC-AUC = 1). ECG comparisons with the protein biomarker data for a subset of patients (STEMI n = 6 and NSTEMI n = 6), demonstrated that 21 features (20 proteins + ST elevation) resulted in the highest classification accuracy 91.7% (ROC-AUC = 0.94). The 20 proteins without the ST elevation feature gave an accuracy of 80.6% (ROC-AUC 0.91), while the ST elevation feature without the protein biomarkers resulted in an accuracy of 69.3% (ROC-AUC = 0.81). CONCLUSIONS: This preliminary study identifies panels of proteins that should be further explored in prospective studies as potential biomarkers that may augment ECG diagnosis and stratification of ACS. This work also highlights the importance for future studies to be designed to allow a comparison of blood biomarkers not only with ECG's but also with cardio angiograms.

Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12­lead electrocardiogram.

BACKGROUND: Electrocardiogram (ECG) lead misplacement can adversely affect ECG diagnosis and subsequent clinical decisions. V1 and V2 are commonly placed superior of their correct position. The aim of the current study was to use machine learning approaches to detect V1 and V2 lead misplacement to enhance ECG data quality. METHOD: ECGs for 453 patients, (normal n = 151, Left Ventricular Hypertrophy (LVH) n = 151, Myocardial Infarction n = 151) were extracted from body surface potential maps. These were used to extract both the correct and incorrectly placed V1 and V2 leads. The prevalence for correct and incorrect leads were 50%. Sixteen features were extracted in three different domains: time-based, statistical and time-frequency features using a wavelet transform. A hybrid feature selection approach was applied to select an optimal set of features. To ensure optimal model selection, five classifiers were used and compared. The aforementioned feature selection approach and classifiers were applied for V1 and V2 misplacement in three different positions: first, second and third intercostal spaces (ICS). RESULTS: The accuracy for V1 misplacement detection was 93.9%, 89.3%, 72.8% in the first, second and third ICS respectively. In V2, the accuracy was 93.6%, 86.6% and 68.1% in the first, second and third ICS respectively. There is a noticeable decline in accuracy when detecting misplacement in the third ICS which is expected.

A systematic review of clinicians' views and experiences of direct-acting oral anticoagulants in the management of nonvalvular atrial fibrillation.

AIMS: While a plethora of systematic reviews have provided evidence of efficacy, effectiveness and safety of direct-acting oral anticoagulants (DOACs) in the management of nonvalvular atrial fibrillation, there has been little emphasis on clinicians' perspectives. This systematic review aimed to critically appraise, synthesize and present the available evidence of clinicians' views and experiences. METHODS: Studies published in English from January 2006 to July 2017 reporting the views and/or experiences of doctors, nurses or pharmacists on any individual DOAC or as a pharmacological group were included. Studies were assessed for quality by two researchers, data extracted and findings synthesized using a narrative approach. RESULTS: Following exclusion of duplicates, 777 titles, 394 abstracts and 196 studies were screened. Ten studies were included in the review, nine of which were quantitative (cross-sectional surveys) and one qualitative (semistructured interviews), with marked heterogeneity in outcomes reported. Studies were conducted exclusively in Europe and the USA. In those studies reporting clinician preference, DOACs were first choice over warfarin in naïve patients, based on perceptions of evidence of effectiveness equivalent or superior to warfarin and superior safety. Other advantageous factors were in those with an unstable International Normalized Ratio and likely to miss appointments. There were, however, concerns relating to management of over-anticoagulation and experiences of observed bleeding rates. CONCLUSION: There is a limited evidence base of clinicians' perspectives of DOACs, necessitating further research, particularly given the trajectory of increased use worldwide.

Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms.

INTRODUCTION: Interpretation of the 12­lead Electrocardiogram (ECG) is normally assisted with an automated diagnosis (AD), which can facilitate an 'automation bias' where interpreters can be anchored. In this paper, we studied, 1) the effect of an incorrect AD on interpretation accuracy and interpreter confidence (a proxy for uncertainty), and 2) whether confidence and other interpreter features can predict interpretation accuracy using machine learning. METHODS: This study analysed 9000 ECG interpretations from cardiology and non-cardiology fellows (CFs and non-CFs). One third of the ECGs involved no ADs, one third with ADs (half as incorrect) and one third had multiple ADs. Interpretations were scored and interpreter confidence was recorded for each interpretation and subsequently standardised using sigma scaling. Spearman coefficients were used for correlation analysis and C5.0 decision trees were used for predicting interpretation accuracy using basic interpreter features such as confidence, age, experience and designation. RESULTS: Interpretation accuracies achieved by CFs and non-CFs dropped by 43.20% and 58.95% respectively when an incorrect AD was presented (p < 0.001). Overall correlation between scaled confidence and interpretation accuracy was higher amongst CFs. However, correlation between confidence and interpretation accuracy decreased for both groups when an incorrect AD was presented. We found that an incorrect AD disturbs the reliability of interpreter confidence in predicting accuracy. An incorrect AD has a greater effect on the confidence of non-CFs (although this is not statistically significant it is close to the threshold, p = 0.065). The best C5.0 decision tree achieved an accuracy rate of 64.67% (p < 0.001), however this is only 6.56% greater than the no-information-rate. CONCLUSION: Incorrect ADs reduce the interpreter's diagnostic accuracy indicating an automation bias. Non-CFs tend to agree more with the ADs in comparison to CFs, hence less expert physicians are more effected by automation bias. Incorrect ADs reduce the interpreter's confidence and also reduces the predictive power of confidence for predicting accuracy (even more so for non-CFs). Whilst a statistically significant model was developed, it is difficult to predict interpretation accuracy using machine learning on basic features such as interpreter confidence, age, reader experience and designation.

A Systematic Review of Interventions to Improve Health Factors or Behaviors of the Cardiovascular Health of Prisoners During Incarceration.

BACKGROUND: Prisoners are disproportionately affected by cardiovascular disease and its risk factors. However, primary prevention of cardiovascular disease in correctional settings has been widely neglected, and there is little information on interventions to improve the cardiovascular health of prisoners while incarcerated. OBJECTIVE: The aim of this study was to systematically review published literature to identify interventions to improve the health factors or behaviors of the cardiovascular health of prisoners during incarceration. METHODS: Selected databases were searched using terms related to prisoners and cardiovascular disease. Studies were included if they had prisoners as participants and measured outcomes of cardiovascular health. Narrative synthesis was used to organize the evidence from the studies. RESULTS: Twelve articles detailing 11 studies were identified. Most of the studies involved only men. Interventions were classified into 4 types: structured physical activity, nutrition, mixed with physical activity and educational sessions, and smoking cessation. Most studies measured short-term outcomes relating to cardiovascular health such as changes in blood pressure and weight. Only 4 studies were of high quality. Structured physical activity interventions, nutrition interventions, and smoking cessation interventions delivered in a group setting had significant effects on at least 1 measured outcome. The effect of mixed interventions could not be determined. CONCLUSIONS: Structured physical activity interventions, nutrition interventions, and smoking cessation interventions delivered in a group setting can improve health factors or behaviors of the cardiovascular health of prisoners during incarceration. More high-quality research is needed to increase the evidence base on the effectiveness of these interventions in the correctional setting.

A decision support system and rule-based algorithm to augment the human interpretation of the 12-lead electrocardiogram.

BACKGROUND: The 12-lead Electrocardiogram (ECG) has been used to detect cardiac abnormalities in the same format for more than 70years. However, due to the complex nature of 12-lead ECG interpretation, there is a significant cognitive workload required from the interpreter. This complexity in ECG interpretation often leads to errors in diagnosis and subsequent treatment. We have previously reported on the development of an ECG interpretation support system designed to augment the human interpretation process. This computerised decision support system has been named 'Interactive Progressive based Interpretation' (IPI). In this study, a decision support algorithm was built into the IPI system to suggest potential diagnoses based on the interpreter's annotations of the 12-lead ECG. We hypothesise semi-automatic interpretation using a digital assistant can be an optimal man-machine model for ECG interpretation. OBJECTIVES: To improve interpretation accuracy and reduce missed co-abnormalities. METHODS: The Differential Diagnoses Algorithm (DDA) was developed using web technologies where diagnostic ECG criteria are defined in an open storage format, Javascript Object Notation (JSON), which is queried using a rule-based reasoning algorithm to suggest diagnoses. To test our hypothesis, a counterbalanced trial was designed where subjects interpreted ECGs using the conventional approach and using the IPI+DDA approach. RESULTS: A total of 375 interpretations were collected. The IPI+DDA approach was shown to improve diagnostic accuracy by 8.7% (although not statistically significant, p-value=0.1852), the IPI+DDA suggested the correct interpretation more often than the human interpreter in 7/10 cases (varying statistical significance). Human interpretation accuracy increased to 70% when seven suggestions were generated. CONCLUSION: Although results were not found to be statistically significant, we found; 1) our decision support tool increased the number of correct interpretations, 2) the DDA algorithm suggested the correct interpretation more often than humans, and 3) as many as 7 computerised diagnostic suggestions augmented human decision making in ECG interpretation. Statistical significance may be achieved by expanding sample size.

Myocardial infarction in a patient with hereditary haemorrhagic telangiectasia in a remote location.

CONTEXT: Prompt reperfusion therapy in acute ST-segment elevation myocardial infarction (STEMI) improves outcomes and is therefore a key part of the management of affected patients. Primary percutaneous coronary intervention (PPCI) is preferred over thrombolysis; however, when PPCI is not available within an acceptable time frame, thrombolysis should be administered without delay. When thrombolysis is contraindicated, this can lead to delays in achieving coronary artery reperfusion, and making therapeutic decisions is more challenging. ISSUES: A 57-year-old woman with hereditary haemorrhagic telangiectasia (HHT) presented with chest pain to local medical services on a Scottish island. Initial assessment including 12-lead ECG was performed without delay and led to a diagnosis of infero-lateral STEMI. Initial treatment was with antiplatelets, nitrate and opiate analgesia. Immediate reperfusion therapy with thrombolysis was considered; however, this was contraindicated due to the diagnosis of HHT. Following discussion with the regional centre she was treated with heparin and urgently transferred to the nearest catheterisation laboratory for PPCI. Unfortunately delays in transfer were caused by inclement weather conditions, which precluded the use of an air ambulance. The patient reached a cardiac catheterisation laboratory by road. A total occlusion of a distal branch of the circumflex artery was found to be the culprit lesion and despite wiring and ballooning good blood flow was not restored. However, she made a good recovery and was discharged home on secondary prevention therapy, which was modified to take into account her increased bleeding risk associated with her pre-existing HHT. LESSONS LEARNED: In this case, the patient presented early to medical services following the onset of symptoms and was immediately assessed, resulting in a prompt accurate diagnosis at first medical contact. Despite this, the presence of HHT, and the particularities of living in a remote area compounded by unfavourable weather conditions, resulted in a delay in definitive treatment that would have been available to a similar patient presenting in an urban setting. In remote regions where reperfusion therapy for acute STEMI relies more often on thrombolysis, an increased awareness of the issues around the contraindication of thrombolysis, together with early discussion with a regional cardiology service leads to the most efficient way of establishing the best treatment plan for individual patients. Despite this, rural patients may remain at a disadvantage.

Delivering healthcare information via the internet: cardiac patients' access, usage, perceptions of usefulness, and web site content preferences.

OBJECTIVES: To assess patients' usage of the Internet as a source of personal healthcare information and patients' perceptions of usefulness and content preferences of more locally focused online health-related material. MATERIALS AND METHODS: A paper-based survey was undertaken by a convenience sample of cardiac outpatients. Age, gender, Internet access, Internet usage, perception of usefulness of online information, predicted intention to use a local cardiology Web site if available, and preferred components to be included were recorded. Univariate and bivariate statistics were used. RESULTS: Two hundred thirty-seven patients responded (62.1% males). One hundred seventy-six (74.3%) used the Internet, with 126 (63%) using it daily. For patients who did not have direct access to the Internet, 26 (50%) had a family member to do this on their behalf. Thus, the majority of patients (202 [85%]) had access to the Internet at home or someone who could access it on their behalf. Internet usage declined with age (Kendall's tau_b=0.321, p<0.001). There was no difference in use with gender (p=0.235). There was considerable interest expressed in a locally delivered Web-based information service. CONCLUSIONS: Online healthcare information services have the potential to reach the vast majority of cardiac patients either directly or through family support. The most elderly patients are less likely to use these services. Despite apparent satisfaction with existing online resources, there appears to be an unmet need for more information and considerable support for a locally based cardiac patient Web resource to deliver this. These findings may help guide future patient information Web site redesign.

Utilisation of a direct access echocardiography service by general practitioners in a remote and rural area--distance and rurality are not barriers to referral.

INTRODUCTION: This study aimed to examine whether general practitioner (GP) practice locations in remote and rural areas affected the pattern of direct access echocardiography referral and to assess any variations in echocardiographic findings. METHODS: All referrals made by all GP practices in the Scottish Highlands over a 36-month period were analysed. Referral patterns were examined according to distance and rurality based on the Scottish Government's Urban-Rural Classification. Reasons for referral and cardiac abnormality detection rates were also examined. RESULTS: In total, 1188 referrals were made from 49 different GP practices; range of referral rates was 0.3-20.1 per 1000 population with a mean of 6.5 referrals per 1000 population. Referral rates were not significantly different between urban and rural practices after correction for population size. There was no correlation between the referral rates and the distance from the centre (r2=0.004, p=0.65). The most common reason for referral was the presence of new murmur (46%). The most common presenting symptom was breathlessness (44%). Overall, 28% of studies had significant abnormal findings requiring direct input from a cardiologist. There was no clear relationship between referral rates and cardiac abnormality detection rates (r2=0.07, p=0.37). The average cardiac abnormality detection rate was 56%, (range 52-60%), with no variation based on rurality (p=0.891). CONCLUSIONS: In this cohort, rurality and distance were not barriers to an equitable direct access echocardiography service. Cardiac abnormality detection rates are consistent with that of other studies.

Six-Month Pilot Testing of a Digital Health Tool to Support Effective Self-Care in People With Heart Failure: Mixed Methods Study.

BACKGROUND: Digital tools may support people to self-manage their heart failure (HF). Having previously outlined the human-centered design development of a digital tool to support self-care of HF, the next step was to pilot the tool over a period of time to establish people's acceptance of it in practice. OBJECTIVE: This study aims to conduct an observational pilot study to examine the usability, adherence, and feasibility of a digital health tool for HF within the Irish health care system. METHODS: A total of 19 participants with HF were provided with a digital tool comprising a mobile app and the Fitbit Charge 4 and Aria Air smart scales for a period of 6 months. Changes to their self-care were assessed before and after the study with the 9-item European HF Self-care Behavior Scale (EHFScBS) and the Minnesota Living with HF Questionnaire (MLwHFQ) using a Wilcoxon signed rank test. After the study, 3 usability questionnaires were implemented and descriptively analyzed: the System Usability Scale (SUS), Wearable Technology Motivation Scale (WTMS), and Comfort Rating Scale (CRS). Participants also undertook a semistructured interview regarding their experiences with the digital tool. Interviews were analyzed deductively using the Theoretical Domains Framework. RESULTS: Participants wore their devices for an average of 86.2% of the days in the 6-month testing period ranging from 40.6% to 98%. Although improvements in the EHFScBS and MLwHFQ were seen, these changes were not significant (P=.10 and P=.70, respectively, where P>.03, after a Bonferroni correction). SUS results suggest that the usability of this system was not acceptable with a median score of 58.8 (IQR 55.0-60.0; range 45.0-67.5). Participants demonstrated a strong motivation to use the system according to the WTMS (median 6.0, IQR 5.0-7.0; range 1.0-7.0), whereas the Fitbit was considered very comfortable as demonstrated by the low CRS results (median 0.0, IQR 0.0-0.0; range 0.0-2.0). According to participant interviews, the digital tool supported self-management through increased knowledge, improved awareness, decision-making, and confidence in their own data, and improving their social support through a feeling of comfort in being watched. CONCLUSIONS: The digital health tool demonstrated high levels of adherence and acceptance among participants. Although the SUS results suggest low usability, this may be explained by participants uncertainty that they were using it fully, rather than it being unusable, especially given the experiences documented in their interviews. The digital tool targeted key self-management behaviors and feelings of social support. However, a number of changes to the tool, and the health service, are required before it can be implemented at scale. A full-scale feasibility trial conducted at a wider level is required to fully determine its potential effectiveness and wider implementation needs.

Cardiovascular and Noncardiovascular Prescribing and Mortality After Takotsubo Comparison With Myocardial Infarction and General Population.

Background: Takotsubo syndrome is an increasingly common cardiac emergency with no known evidence-based treatment. Objectives: The purpose of this study was to investigate cardiovascular mortality and medication use after takotsubo syndrome. Methods: In a case-control study, all patients with takotsubo syndrome in Scotland between 2010 and 2017 (n = 620) were age, sex, and geographically matched to individuals in the general population (1:4, n = 2,480) and contemporaneous patients with acute myocardial infarction (1:1, n = 620). Electronic health record data linkage of mortality outcomes and drug prescribing were analyzed using Cox proportional hazard regression models. Results: Of the 3,720 study participants (mean age, 66 years; 91% women), 153 (25%) patients with takotsubo syndrome died over the median of 5.5 years follow-up. This exceeded mortality rates in the general population (N = 374 [15%]; HR: 1.78 [95% CI: 1.48-2.15], P < 0.0001), especially for cardiovascular (HR: 2.47 [95% CI: 1.81-3.39], P < 0.001) but also noncardiovascular (HR: 1.48 [95% CI: 1.16-1.87], P = 0.002) deaths. Mortality rates were lower for patients with takotsubo syndrome than those with myocardial infarction (31%, 195/620; HR: 0.76 [95% CI: 0.62-0.94], P = 0.012), which was attributable to lower rates of cardiovascular (HR: 0.61 [95% CI: 0.44-0.84], P = 0.002) but not non-cardiovascular (HR: 0.92 [95% CI: 0.69-1.23], P = 0.59) deaths. Despite comparable medications use, cardiovascular therapies were consistently associated with better survival in patients with myocardial infarction but not in those with takotsubo syndrome. Diuretic (P = 0.01), anti-inflammatory (P = 0.002), and psychotropic (P < 0.001) therapies were all associated with worse outcomes in patients with takotsubo syndrome. Conclusions: In patients with takotsubo syndrome, cardiovascular mortality is the leading cause of death, and this is not associated with cardiovascular therapy use.