Misdiagnosis of Heart Failure: A Systematic Review of the Literature

Early Detection of Heart Failure with Autonomous AI-Based Model Using Chest Radiographs: A Multicenter Study

The opportunistic use of radiological examinations for disease detection can potentially enable timely management. We assessed if an index created by an AI software to quantify chest radiography (CXR) findings associated with heart failure (HF) could distinguish between patients who would develop HF or not within a year of the examination. Our multicenter retrospective study included patients who underwent CXR without an HF diagnosis. We included 1117 patients (age 67.6 ± 13 years; m:f 487:630) that underwent CXR. A total of 413 patients had the CXR image taken within one year of their HF diagnosis. The rest (n = 704) were patients without an HF diagnosis after the examination date. All CXR images were processed with the model (qXR-HF, Qure.AI) to obtain information on cardiac silhouette, pleural effusion, and the index. We calculated the accuracy, sensitivity, specificity, and area under the curve (AUC) of the index to distinguish patients who developed HF within a year of the CXR and those who did not. We report an AUC of 0.798 (95%CI 0.77-0.82), accuracy of 0.73, sensitivity of 0.81, and specificity of 0.68 for the overall AI performance. AI AUCs by lead time to diagnosis (<3 months: 0.85; 4-6 months: 0.82; 7-9 months: 0.75; 10-12 months: 0.71), accuracy (0.68-0.72), and specificity (0.68) remained stable. Our results support the ongoing investigation efforts for opportunistic screening in radiology.

Factors associated with self-reported diagnosed asthma in urban and rural Malawi: Observations from a population-based study of non-communicable diseases

The growing burden of asthma in low- and middle-income countries has been linked to urbanisation and lifestyle changes. However, this burden has not been well characterised in adults. Therefore, we investigated the prevalence of self-reported diagnosed asthma and associated factors in urban and rural adults in Malawi, Southern Africa. Within a cross-sectional population-based survey to determine the burden and risk factors for non-communicable diseases (NCDs) in the city of Lilongwe and rural Karonga district, we collected information on self-reported previously diagnosed asthma and asthma-related symptoms using an interviewer-led questionnaire. Other data collected included: demographic characteristics, socioeconomic status indicators, NCD comorbidities, environmental exposures, and anthropometric measurements. We used multivariable logistic regression models to explore factors associated with self-reported asthma adjusting for variables associated with the outcome in univariable analysis. Findings were corrected for multiple comparisons using the Bonferroni method. We analysed data from 30,483 adult participants (54.6% urban,45.4% rural and 61.9% female). A prior asthma diagnosis was reported in 5.1% of urban and 4.5% of rural participants. In urban females, being obese (>30 kg/m2) compared to normal weight (18.5-24.9 kg/m2) was associated with greater odds of asthma (OR = 1.59, 95% CI [1.26-2.01], p<0.001), after adjusting for confounders. We observed associations between previously diagnosed heart disease and asthma in female participants which remained significant in rural females after Bonferroni correction (OR = 2.30,95%CI [1.32-4.02], p = 0.003). Among rural males, current smokers had reduced odds of diagnosed asthma (OR = 0.46,95%CI [0.27-0.79], p = 0.004) compared to those who had never smoked. In Malawi the prevalence of self-reported diagnosed asthma was greatest in females and urban dwellers. Notably, our findings indicate relationships between excess body weight as well as comorbidities and diagnosed asthma in females. Future investigations using longitudinally collected data and clinical measurements of asthma are needed to better understand these associations.

Managing Patients on SGLT2 Inhibitors in Primary Care

In this video, Javed Butler, MD, and John E. Anderson, MD, discuss the management of patients on SGLT2 inhibitors in the primary care setting.

Stakeholder perspectives on contributors to delayed and inaccurate diagnosis of cardiovascular disease and their implications for digital health technologies: a UK-based qualitative study

OBJECTIVE

The aim of this study is to understand stakeholder experiences of diagnosis of cardiovascular disease (CVD) to support the development of technological solutions that meet current needs. Specifically, we aimed to identify challenges in the process of diagnosing CVD, to identify discrepancies between patient and clinician experiences of CVD diagnosis, and to identify the requirements of future health technology solutions intended to improve CVD diagnosis.

DESIGN

Semistructured focus groups and one-to-one interviews to generate qualitative data that were subjected to thematic analysis.

PARTICIPANTS

UK-based individuals (N=32) with lived experience of diagnosis of CVD (n=23) and clinicians with experience in diagnosing CVD (n=9).

RESULTS

We identified four key themes related to delayed or inaccurate diagnosis of CVD: symptom interpretation, patient characteristics, patient-clinician interactions and systemic challenges. Subthemes from each are discussed in depth. Challenges related to time and communication were greatest for both stakeholder groups; however, there were differences in other areas, for example, patient experiences highlighted difficulties with the psychological aspects of diagnosis and interpreting ambiguous symptoms, while clinicians emphasised the role of individual patient differences and the lack of rapport in contributing to delays or inaccurate diagnosis.

CONCLUSIONS

Our findings highlight key considerations when developing digital technologies that seek to improve the efficiency and accuracy of diagnosis of CVD.

conTemporary reflectiOns regarding heart failure manaGEmenT - How to ovERcome the PorTuguese barriers (TOGETHER-PT)

INTRODUCTION AND OBJECTIVES

Heart failure (HF) is a complex clinical syndrome that is a significant burden in hospitalisations, morbidity, and mortality. Although a significant effort has been made to better understand its consequences and current barriers in its management, there are still several gaps to address. The present work aimed to identify the views of a multidisciplinary group of health care professionals on HF awareness and literacy, diagnosis, treatment and organization of care, identifying current challenges and providing insights into the future.

METHODS

A steering committee was established, including members of the Heart Failure Study Group of the Portuguese Society of Cardiology (GEIC-SPC), the Heart Failure Study Group of the Portuguese Society of Internal Medicine (NEIC-SPMI) and the Cardiovascular Study Group (GEsDCard) of the Portuguese Association of General and Family Medicine (APMGF). This steering committee produced a 16-statement questionnaire regarding different HF domains that was answered to by a diversified group of 152 cardiologists, internists, general practitioners, and nurses with an interest or dedicated to HF using a five-level Likert scale. Full agreement was defined as ≥80% of level 5 (fully agree) responses.

RESULTS

Globally, consensus was achieved in all but one of the 16 statements. Full agreement was registered in seven statements, namely 3 of 4 statements for patient education and HF awareness and 2 in 4 statements of both HF diagnosis and healthcare organization, with proportions of fully agree responses ranging from 82.9% to 96.7%. None of the HF treatment statements registered full agreement but 3 of 4 achieved ≥80% of level 4 (agree) responses.

CONCLUSION

This document aims to be a call-to-action to improve HF patients' quality of life and prognosis, by promoting a change in HF care in Portugal.

Insights into the Novel Cardiac Biomarker in Acute Heart Failure: Mybp-C

(1) Background: Given its high cardiac specificity and its capacity to directly assess the cardiac function, cardiac myosin-binding protein (MyBP-C) is a promising biomarker in patients with acute heart failure (AHF). The aim of our study was to investigate the clinical utility of this novel marker for diagnosis and short-term prognosis in subjects with AHF. (2) Methods: We measured plasma levels of MyBP-C at admission in 49 subjects (27 patients admitted with AHF and 22 controls). (3) Results: The plasma concentration of MyBP-C was significantly higher in patients with AHF compared to controls (54.88 vs. 0.01 ng/L, p < 0.001). For 30-day prognosis, MyBP-C showed significantly greater AUC (0.972, p < 0.001) than NT-proBNP (0.849, p = 0.001) and hs-TnI (0.714, p = 0.047). In a multivariate logistic regression analysis, an elevated level of MyBP-C was the best independent predictor of 30-day mortality (OR = 1.08, p = 0.039) or combined death/recurrent 30-days rehospitalization (OR = 1.12, p = 0.014). (4) Conclusions: Our data show that circulating MyBP-C is a sensitive and cardiac-specific biomarker with potential utility for the accurate diagnosis and prognosis of AHF.

Lack of Evidence Regarding Markers Identifying Acute Heart Failure in Patients with COPD: An AI-Supported Systematic Review

Background

Due to shared symptoms, acute heart failure (AHF) is difficult to differentiate from an acute exacerbation of COPD (AECOPD). This systematic review aimed to identify markers that can diagnose AHF underlying acute dyspnea in patients with COPD presenting at the hospital.

Methods

All types of observational studies and clinical trials that investigated any marker's ability to diagnose AHF in acutely dyspneic COPD patients were considered eligible for inclusion. An AI tool (ASReview) supported the title and abstract screening of the articles obtained from PubMed, Scopus, Web of Science, the Cochrane Library, Embase, and CINAHL until April 2023. Full text screening was independently performed by two reviewers. Twenty percent of the data extraction was checked by a second reviewer and the risk of bias was assessed in duplicate using the QUADAS-2 tool. Markers' discriminative abilities were evaluated in terms of sensitivity, specificity, positive and negative predictive values, and the area under the curve when available.

Results

The search identified 10,366 articles. After deduplication, title and abstract screening was performed on 5,386 articles, leaving 153 relevant, of which 82 could be screened full text. Ten distinct studies (reported in 16 articles) were included, of which 9 had a high risk of bias. Overall, these studies evaluated 12 distinct laboratory and 7 non-laboratory markers. BNP, NT-proBNP, MR-proANP, and inspiratory inferior vena cava diameter showed the highest diagnostic discrimination.

Conclusion

There is not much evidence for the use of markers to diagnose AHF in acutely dyspneic COPD patients in the hospital setting. BNPs seem most promising, but should be interpreted alongside imaging and clinical signs, as this may lead to improved diagnostic accuracy. Future validation studies are urgently needed before any AHF marker can be incorporated into treatment decision-making algorithms for patients with COPD.

Protocol Registration

CRD42022283952.

Powerful medical education improves health care quality and return on investment

INTRODUCTION

Powerful medical education (PME) involves the use of new technologies informed by the science of expertise that are embedded in laboratories and organizations that value evidence-based education and support innovation. This contrasts with traditional medical education that relies on a dated apprenticeship model that yields uneven results. PME involves an amalgam of features, conditions and assumptions, and contextual variables that comprise an approach to developing clinical competence grounded in education impact metrics including efficiency and cost-effectiveness.

METHODS

This article is a narrative review based on SANRA criteria and informed by realist review principles. The review addresses the PME model with an emphasis on mastery learning and deliberate practice principles drawn from the new science of expertise. Pub Med, Scopus, and Web of Science search terms include medical education, the science of expertise, mastery learning, translational outcomes, cost effectiveness, and return on investment. Literature coverage is comprehensive with selective citations.

RESULTS

PME is described as an integrated set of twelve features embedded in a group of seven conditions and assumptions and four context variables. PME is illustrated via case examples that demonstrate improved ventilator patient management learning outcomes compared to traditional clinical education and mastery learning of breaking bad news communication skills. Evidence also shows that PME of physicians and other health care providers can have translational, downstream effects on patient care practices, patient outcomes, and return on investment. Several translational health care quality improvements that derive from PME include reduced infections; better communication among physicians, patients, and families; exceptional birth outcomes; more effective patient education; and return on investment.

CONCLUSIONS

The article concludes with challenges to hospitals, health systems, and medical education organizations that are responsible for producing physicians who are expected to deliver safe, effective, and cost-conscious health care.

Female aging: when translational models don't translate

For many pathologies associated with aging, female patients present with higher morbidity and more frequent adverse events from treatments compared to male patients. While preclinical models are the foundation of our mechanistic understanding of age-related diseases, the most common models fail to recapitulate archetypical female aging trajectories. For example, while over 70% of the top age-related diseases are influenced by the systemic effects of reproductive senescence, we found that preclinical studies that include menopausal phenotypes modeling those seen in humans make up <1% of published aging biology research. The long-term impacts of pregnancy, birthing and breastfeeding are also typically omitted from preclinical work. In this Perspective, we summarize limitations in the most commonly used aging models, and we provide recommendations for better incorporating menopause, pregnancy and other considerations of sex in vivo and in vitro. Lastly, we outline action items for aging biology researchers, journals, funding agencies and animal providers to address this gap.

Patterns of Cardiac Troponin I Concentrations as Risk Predictors of Cardiovascular Disease and Death: The Trøndelag Health Study

BACKGROUND

Concentrations of cardiac troponin predict risk of cardiovascular disease and death in the general population. There is limited evidence on changing patterns of cardiac troponin in the years preceding cardiovascular events.

METHODS

We analyzed cardiac troponin I (cTnI) with a high-sensitivity assay in 3272 participants in the Trøndelag Health (HUNT) Study at study visit 4 (2017-2019). Of these, 3198 had measurement of cTnI at study visit 2 (1995-1997), 2661 at study visit 3, and 2587 at all 3 study visits. We assessed the trajectories of cTnI concentrations in the years prior to cardiovascular events using a generalized linear mixed model, with adjustment for age, sex, cardiovascular risk factors, and comorbidities.

RESULTS

At HUNT4 baseline, median age was 64.8 (range 39.4-101.3) years, and 55% were women. Study participants who were admitted because of heart failure or died from cardiovascular cause on follow-up had a steeper increase in cTnI compared with study participants with no events (P < .001). The average yearly change in cTnI was 0.235 (95% confidence interval, 0.192-0.289) ng/L for study participants with heart failure or cardiovascular death, and -0.022 (95% confidence interval, -0.022 to -0.023) ng/L for study participants with no events. Study participants who experienced myocardial infarction, ischemic stroke, or noncardiovascular mortality exhibited similar cTnI patterns.

CONCLUSIONS

Fatal and nonfatal cardiovascular events are preceded by slowly increasing concentrations of cardiac troponin, independently of established cardiovascular risk factors. Our results support the use of cTnI measurements to identify at-risk subjects who progress to subclinical and later overt cardiovascular disease.

Cardiac Troponin T and NT-proBNP for Prediction of 30-Day Readmission or Death in Patients with Acute Dyspnea: Data from the Akershus Cardiac Examination 2 Study

INTRODUCTION

N-terminal pro-B-type natriuretic peptide (NT-proBNP) and cardiac troponin T (cTnT) measurements are recommended in patients with acute dyspnea. We aimed to assess the prognostic merit of cTnT compared to NT-proBNP for 30-day readmission or death in patients hospitalized with acute dyspnea.

METHODS

We measured cTnT and NT-proBNP within 24 h in 314 patients hospitalized with acute dyspnea and adjudicated the cause of the index admission. Time to first event of readmission or death ≤30 days after hospital discharge was recorded, and cTnT and NT-proBNP measurements were compared head-to-head.

RESULTS

Patients who died (12/314) or were readmitted (71/314) within 30 days had higher cTnT concentrations (median: 32.6, Q1-Q3: 18.4-74.2 ng/L vs. median: 19.4, Q1-Q3: 8.4-36.1 ng/L; p for comparison <0.001) and NT-proBNP concentrations (median: 1,753.6, Q1-Q3: 464.2-6,862.0 ng/L vs. median 984, Q1-Q3 201-3,600 ng/L; for comparison p = 0.027) compared to patients who survived and were not readmitted. cTnT concentrations were associated with readmission or death within 30 days after discharge both in the total cohort (adjusted hazard ratio [aHR]: 1.64, 95% confidence interval [CI]: 1.30-2.05) and in patients with heart failure (HF) (aHR: 1.58, 95% CI: 1.14-2.18). In contrast, NT-proBNP concentrations were not associated with short-term events, neither in the total cohort (aHR: 1.10, 95% CI: 0.94-1.30) nor in patients with adjudicated HF (aHR: 1.06, 95% CI: 0.80-1.40).

CONCLUSION

cTnT concentrations are associated with 30-day readmission or death in patients hospitalized with acute dyspnea, as well as in patients adjudicated HF.

An overview of chronic heart failure

Heart failure (HF) is associated with high morbidity and mortality and is a significant public health concern. Globally, the prevalence of HF is increasing and prognosis remains suboptimal for people with the condition. HF has significant effects on patients, their families and healthcare services. People with HF can present with acute or chronic signs and symptoms. This article provides an overview of HF including its prevalence, pathophysiology, causes, diagnosis and management. It details the pharmacological treatments that may be used and the nurse's role in caring for patients with the condition.

Global Comparison of Readmission Rates for Patients With Heart Failure

BACKGROUND

Heart failure (HF) readmission rates are low in some jurisdictions. However, international comparisons are lacking and could serve as a foundation for identifying regional patient management strategies that could be shared to improve outcomes.

OBJECTIVES

This study sought to summarize 30-day and 1-year all-cause readmission and mortality rates of hospitalized HF patients across countries and to explore potential differences in rates globally.

METHODS

We performed a systematic review and meta-analysis using MEDLINE, Embase, and CENTRAL for observational reports on hospitalized adult HF patients at risk for readmission or mortality published between January 2010 and March 2021. We conducted a meta-analysis of proportions using a random-effects model, and sources of heterogeneity were evaluated with meta-regression.

RESULTS

In total, 24 papers reporting on 30-day and 23 papers on 1-year readmission were included. Of the 1.5 million individuals at risk, 13.2% (95% CI: 10.5%-16.1%) were readmitted within 30 days and 35.7% (95% CI: 27.1%-44.9%) within 1 year. A total of 33 papers reported on 30-day and 45 papers on 1-year mortality. Of the 1.5 million individuals hospitalized for HF, 7.6% (95% CI: 6.1%-9.3%) died within 30 days and 23.3% (95% CI: 20.8%-25.9%) died within 1 year. Substantial variation in risk across countries was unexplained by countries' gross domestic product, proportion of gross domestic product spent on health care, and Gini coefficient.

CONCLUSIONS

Globally, hospitalized HF patients exhibit high rates of readmission and mortality, and the variability in readmission rates was not explained by health care expenditure, risk of mortality, or comorbidities.

Clinical Pathways Guided by Remotely Monitoring Cardiac Device Data: The Future of Device Heart Failure Management?

Research examining the utility of cardiac device data to manage patients with heart failure (HF) is rapidly evolving. COVID-19 has reignited interest in remote monitoring, with manufacturers each developing and testing new ways to detect acute HF episodes, risk stratify patients and support self-care. As standalone diagnostic tools, individual physiological metrics and algorithm-based systems have demonstrated utility in predicting future events, but the integration of remote monitoring data with existing clinical care pathways for device HF patients is not well described. This narrative review provides an overview of device-based HF diagnostics available to care providers in the UK, and describes the current state of play with regard to how these systems fit in with current HF management.

Undiagnosed and 'overdiagnosed' COPD using postbronchodilator spirometry in primary healthcare settings: a systematic review and meta-analysis

BACKGROUND

Despite chronic obstructive pulmonary disease (COPD) being a major global cause of mortality and hospitalisation, it is often undiagnosed or inaccurately diagnosed in clinical settings.

OBJECTIVE

To systematically synthesise all peer-reviewed papers from primary healthcare settings that have reported data on: (1) undiagnosed COPD, that is, patients with respiratory symptoms and postbronchodilator airflow obstruction consistent with COPD, without a formal clinician's diagnosis of COPD either documented in health records or reported by patients and (2) 'overdiagnosed COPD', that is, clinician's diagnosis without postbronchodilator airflow obstruction.

METHODS

Studies investigating these diagnostic metrics in patients from primary healthcare clinics (according to predefined inclusion/exclusion criteria) were sourced from Medline and Embase and assessed for bias (Johanna Briggs Institute tools for prevalence studies and case series). Meta-analyses of studies of adequate sample size used random effect modelling stratified by risk factor categories.

RESULTS

Of 26 eligible articles, 21 cross-sectional studies investigated 3959 cases of spirometry-defined COPD (with or without symptoms), and 5 peer-reviewed COPD case series investigated 7381 patients. The prevalence of spirometry-confirmed COPD without a diagnosis documented in their health records was 14%-26% in studies of symptomatic smokers (N=3). 1 in 4 patients taking inhaled therapies (25% (95% CI 22% to 28%), N=2) and 1 in 6 smokers irrespective of symptoms (16% (95% CI 14% to 18%), N=6) fulfilled diagnostic spirometry criteria but did not report receiving a COPD-related diagnosis. In an adequately powered series of COPD cases documented in primary healthcare records (N=4), only between 50% and 75% of subjects had any airflow obstruction on postbronchodilator spirometry performed by study researchers, therefore, COPD was clinically 'overdiagnosed' in 25%-50% of subjects.

DISCUSSION

Although data were heterogeneous and of modest quality, undiagnosed COPD was common in primary healthcare, especially for symptomatic smokers and patients treated with inhaled therapies. In contrast, frequent COPD 'overdiagnosis' may represent treatment of asthma/reversible component or another medical diagnosis.

PROSPERO REGISTRATION NUMBER

CRD42022295832.

Serum potassium in elderly heart failure patients as a predictor of readmission within 1 year

Blood potassium levels are associated with adverse outcomes in patients with congestive heart failure (HF). However, it is unclear whether there are differences in outcome events in elderly patients with different blood potassium levels at the time of emergency readmission within 1 year. This study used data from patients hospitalized with HF, integrating electronic medical records from the PhysioNet restricted health data database and external outcome data. We conducted a retrospective study of HF patients aged 60 years and older, using baseline data, comorbidities, laboratory tests, and medication use as covariates to analyze the effect of serum potassium levels on outcome events, with the primary outcome being readmission within 1 year. A priori was used to calculate the sample size, and this retrospective cohort study included a total of 788 elderly HF patients, of whom 20.3% had hypokalaemia (K⁺  < 3.5 mmol/L) and 14.7% had hyperkalemia (K⁺  > 4.7 mmol/L). According to a multivariate Cox regression model, patients with hyperkalemia had a shorter time interval between readmissions within 1 year, with a hazard ratio (HR) and its 95% CI of 1.134 (1.006-1.279). Three models were used to analyze patients with different blood potassium levels and, after correction, the high potassium group was at high risk relative to the low and normal groups, with significant differences in outcome events, with HRs and their 95% CI of 1.266 (1.03-1.557), 1.245 (1.01-1.534), and 1.439 (1.142-1.812), respectively. The robustness of the model was also demonstrated by competing risk models with subgroup analysis, showing that blood potassium levels had a stable effect on outcome events and were not altered by covariates (age, sex, diabetes, chronic kidney disease, NT-proBNP, high-sensitivity troponin, and glomerular filtration rate). The results show that high blood potassium levels are associated with the outcome event of readmission within 1 year in elderly patients with HF. Blood potassium levels at the time of the first hospitalization may therefore be a valuable predictor.

A Critical Evaluation of Patient Pathways and Missed Opportunities in Treatment for Heart Failure

BACKGROUND

Heart failure (HF) is a global problem responsible for significant morbidity and mortality.

METHODS

This review describes the patient pathways and missed opportunities related to treatment for patients with HF.

RESULTS

The contemporary management strategies in HF, including medical therapies, device therapy, transplant, and palliative care. Despite the strong evidence base for therapies that improve prognosis and symptoms, there remains a large number of patients that are not optimally managed. The treatment of patients with HF is highly influenced by those who are caring for them and varies widely across geographical regions. HF patients can be broadly classified into two key groups: those who have known HF, and those who are incidentally found to have reduced left ventricular systolic dysfunction or other cardiac abnormality when an echocardiogram is performed. While all patients are under the care of a general practitioner or family doctor, in other instances, non-cardiologist physicians, cardiologists, and specialist HF nurses-each will have varying levels of expertise in managing HF-are part of the broader team involved in the specialist management of patients with HF.

CONCLUSIONS

There are many potential missed opportunities in HF treatment, which include general opportunities, medications, etiology-specific therapy, device therapy, therapies when initial treatments fail, and palliative care.

The Impact of Concomitant Diagnosis of Viral Infections on in-Hospital Mortality in Patients Hospitalized with a Diagnosis of Heart Failure in the United States: Insights from the National Inpatient Sample

The impact of viral infections on patients admitted with a diagnosis of heart failure is not well understood. We conducted a retrospective cohort study using data from the National Inpatient Sample in the United States to evaluate the proportion of admissions with a diagnosis of heart failure and viral infections, and we explored how viral infections had impact on in-hospital mortality and length of stay. There were a total of 20,713,539 admission records with a diagnosis of heart failure included in the analysis and 3.8% had a concomitant diagnosis of viral infection. The mean length of stay was 20.1 ± 26.9 days, 12.9 ± 13.6 days, 12.1 ± 13.8 days, and 5.1 ± 6.5 days for records with a diagnosis of cytomegalovirus, viral meningitis/encephalitis, herpes simplex infection, and no viral infection, respectively. The most common diagnoses of viral infections were influenza (n = 240,260) and chronic viral hepatitis (n = 194,400), and the highest rates of mortality were observed for records with a diagnosis of cytomegalovirus (13.2%), acute viral hepatitis (12.5%), and viral meningitis/encephalitis (11.1%). The viral infections significantly associated with increased odds of mortality were cytomegalovirus infection (OR 1.84 95% CI 1.57-2.16), acute hepatitis (OR 1.29 95% CI 1.15-1.45), and HIV (OR 1.22 95% CI 1.11-1.34). In conclusion, viral infections are co-diagnosis in 3.8% of patient records with heart failure and detection of some viruses may be important as they increase mortality and may prolong length of stay in hospital.

Optimal Management of Heart Failure and Chronic Obstructive Pulmonary Disease: Clinical Challenges

Heart failure (HF) and chronic obstructive pulmonary disease (COPD) are common causes of breathlessness which frequently co-exist; one potentially exacerbating the other. Distinguishing between the two can be challenging due to their similar symptomatology and overlapping risk factors, but a timely and correct diagnosis is potentially lifesaving. Modern treatment for HF can substantially improve symptoms and prognosis for many patients and may have beneficial effects for patients with COPD. Conversely, while many inhaled treatments for COPD can improve symptoms and reduce exacerbations, there is conflicting evidence regarding the safety of some inhaled treatments for COPD in patients with HF. Here we explore the overlap between HF and COPD, examine the effect of one condition on the other, and address the challenges of managing patients with both conditions.

Should Audits Consider the Care Pathway Model? A New Approach to Benchmarking Real-World Activities

Clinical audit is a method to assess the quality of healthcare services based on whether standards are met or not met. This approach is limited because it fails to recognize how decisions that take place over time and the natural progression of disease has an impact on what happens to patients and the care they receive. The aim of this paper is to introduce the concept of care pathway and explain how care pathways can be audited to better understand care. The care pathway is defined by clinically relevant events that take place within one or more healthcare institutions. The process begins with defining an ideal care pathway which is created by considering local expertise and guidelines. It is then possible to audit against the extent to which this ideal care pathway is achieved. This care pathway audit can enable identification of patterns in real-world care which can help with the of design interventions to help shift patients from the less to more desirable pathways. We conclude that through the process of the care pathway audit cycle, it is possible to learn about real-world activities, better utilize resources, promote safer care, improve quality of care, and help develop more effective interventions.

Patient Pathways in Cardiology: Should Pharmaceutical and Medical Device Companies Care?

A shared goal of patients, providers, and the companies that produce new therapies is to have these therapies used according to guidelines. Health services specialize in patient care and may lack the capabilities to take a product from conception through to everyday use. This results in a mutually beneficial relationship between health services and industry. The market for cardiovascular drugs is significant, which results in competition between companies. While traditional methods of observational analysis may be able to determine to what extent drugs and devices are being prescribed or implanted by health providers, there is less real-world patient level insight as to why patients are taking (or not taking) these treatments and why one agent is chosen over another. Considering patient pathways is a novel approach that can be utilized to understand real-world patient activities. This approach focuses on the patient flow across the healthcare system and barriers at each stage including identification of patients, diagnostic testing, the decisions on treatment, and prescribing can help identify ways of improving the utilization based on guidelines. It overcomes several assumptions related to patient and clinician decision-making and practical considerations such as geography and availability of health services. In this article, we introduce the concept of patient pathways and why considering them maybe of interest to companies. As significant resources are invested to bring a product to market, this approach can help define if there are missed opportunities for their products to be utilized and potential barriers to implementation.

The Patient Pathway Review: A New Method of Evaluating Clinical Practices to Understand the Complexities of Real-world Care

Healthcare research has contributed to the good patient care that is delivered today. With the perpetual demand for higher quality, cost-effective care, the current approaches in research could be improved to answer important research questions related to actual healthcare practices. In this article, we introduce the concept of the patient pathway review, which focuses on the identification of what happens to patients based on clinical expertise and systematic evaluation. This approach can help understand real-world healthcare activities and explore reasons for clinically relevant patient events. The patient pathway is defined as a series of clinically relevant events. The patient pathway review begins with selection of the area which merits exploration. This is followed by the development of an "ideal" pathway, which defines what is expected to happen to most patients in the area. Through critical reasoning and detailed consideration of different possible activities or outcomes at each stage of the "ideal" pathway, the "real-world" pathways can be determined. To understanding the significance of the "real-world" pathway, descriptions from all the stakeholders involved are necessary. Typically, in the healthcare setting, these perspectives are the patient, clinician, health service, policy makers, and society who have variable interests the important clinical events. Finally, the pathways together with the perspectives are integrated into a discussion. We conclude that the patient pathway review is a novel approach, which has value to explain real-world events for patients and can enable identification of favorable paths, which can help guide the development of interventions to improve clinical practice.