Current treatment and immunomodulation strategies in Acute Myocarditis.

Myocarditis is an inflammatory disease of the myocardium characterized by a great heterogeneity of presentation and evolution. Treatment of myocarditis is often supportive and the evidence for immunosuppression is scarce and debated. Conventional treatment is based on clinical presentation, ranging from conservative to advanced mechanical assist devices. In this setting, immunosuppression and immunomodulation therapies are mostly reserved for patients presenting with major clinical syndromes. In this review, we will summarise the current evidence and strategies for conventional and immunosuppressive treatments for patients presenting with acute myocarditis.

Artificial intelligence methods for improved detection of undiagnosed heart failure with preserved ejection fraction.

AIM: Heart failure with preserved ejection fraction (HFpEF) remains under-diagnosed in clinical practice despite accounting for nearly half of all heart failure (HF) cases. Accurate and timely diagnosis of HFpEF is crucial for proper patient management and treatment. In this study, we explored the potential of natural language processing (NLP) to improve the detection and diagnosis of HFpEF according to the European Society of Cardiology (ESC) diagnostic criteria. METHODS AND RESULTS: In a retrospective cohort study, we used an NLP pipeline applied to the electronic health record (EHR) to identify patients with a clinical diagnosis of HF between 2010 and 2022. We collected demographic, clinical, echocardiographic and outcome data from the EHR. Patients were categorized according to the left ventricular ejection fraction (LVEF). Those with LVEF ≥50% were further categorized based on whether they had a clinician-assigned diagnosis of HFpEF and if not, whether they met the ESC diagnostic criteria. Results were validated in a second, independent centre. We identified 8606 patients with HF. Of 3727 consecutive patients with HF and LVEF ≥50% on echocardiogram, only 8.3% had a clinician-assigned diagnosis of HFpEF, while 75.4% met ESC criteria but did not have a formal diagnosis of HFpEF. Patients with confirmed HFpEF were hospitalized more frequently; however the ESC criteria group had a higher 5-year mortality, despite being less comorbid and experiencing fewer acute cardiovascular events. CONCLUSIONS: This study demonstrates that patients with undiagnosed HFpEF are an at-risk group with high mortality. It is possible to use NLP methods to identify likely HFpEF patients from EHR data who would likely then benefit from expert clinical review and complement the use of diagnostic algorithms.

Biomarkers in Acute Myocarditis and Chronic Inflammatory Cardiomyopathy: An Updated Review of the Literature.

Myocarditis is a disease caused by cardiac inflammation that can progress to dilated cardiomyopathy, heart failure, and eventually death. Several etiologies, including autoimmune, drug-induced, and infectious, lead to inflammation, which causes damage to the myocardium, followed by remodeling and fibrosis. Although there has been an increasing understanding of pathophysiology, early and accurate diagnosis, and effective treatment remain challenging due to the high heterogeneity. As a result, many patients have poor prognosis, with those surviving at risk of long-term sequelae. Current diagnostic methods, including imaging and endomyocardial biopsy, are, at times, expensive, invasive, and not always performed early enough to affect disease progression. Therefore, the identification of accurate, cost-effective, and prognostically informative biomarkers is critical for screening and treatment. The review then focuses on the biomarkers currently associated with these conditions, which have been extensively studied via blood tests and imaging techniques. The information within this review was retrieved through extensive literature research conducted on major publicly accessible databases and has been collated and revised by an international panel of experts. The biomarkers discussed in the article have shown great promise in clinical research studies and provide clinicians with essential tools for early diagnosis and improved outcomes.

Diagnostic accuracy, clinical characteristics, and prognostic differences of patients with acute myocarditis according to inclusion criteria.

INTRODUCTION: The diagnosis of acute myocarditis (AM) is complex due to its heterogeneity and typically is defined by either Electronic Healthcare Records (EHRs) or advanced imaging and endomyocardial biopsy, but there is no consensus. We aimed to investigate the diagnostic accuracy of these approaches for AM. METHODS: Data on ICD 10th Revision(ICD-10) codes corresponding to AM were collected from two hospitals and compared to CMR-confirmed or clinically suspected(CS) AM cases with respect to diagnostic accuracy, clinical characteristics, and all-cause mortality. Next, we performed a review of published AM studies according to inclusion criteria. RESULTS: We identified 291 unique admissions with ICD-10 codes corresponding to AM in the first three diagnostic positions. The positive predictive value(PPV) of ICD-10 codes for CMR-confirmed or CS-AM was 36%, and patients with CMR-confirmed or CS AM had a lower all-cause mortality than those with a refuted diagnosis (P = 0.019). Using an unstructured approach, patients with CMR-confirmed and CS AM had similar demographics, comorbidity profiles and survival over a median follow-up of 52 months (P = 0.72). Our review of the literature confirmed our findings. Outcomes for patients included in studies using CMR-confirmed criteria were favourable compared to studies with EMB-confirmed AM cases. CONCLUSION: ICD-10 codes have poor accuracy in identification of AM cases and should be used with caution in clinical research. There are important differences in management and outcomes of patients according to the selection criteria used to diagnose AM. Potential selection biases must be considered when interpreting AM cohorts and requires standardisation of inclusion criteria for AM studies.

Treatment of Iron Deficiency in Heart Failure.

PURPOSE OF REVIEW: Heart failure (HF) is commonly associated with iron deficiency (ID), defined as insufficient levels of iron to meet physiological demands. ID's association with anaemia is well understood but it is increasingly recognised as an important comorbidity in HF, even in the absence of anaemia. This review summarises contemporary evidence for the measurement and treatment of ID, in both HFrEF and HFpEF, and specific HF aetiologies, and highlights important gaps in the evidence-base. RECENT FINDINGS: ID is common among patients with HF and associated with increased morbidity and mortality. Correcting ID in patients with HF can impact upon functional status, exercise tolerance, symptoms, and overall quality of life, irrespective of anaemia status. ID is a modifiable comorbidity in HF. Therefore, recognising and treating ID has emerging therapeutic potential and is important for all clinicians who care for patients with HF to understand the rationale and approach to treatment.

The prognostic impact of specialist cardiology input in patients admitted for heart failure and normal ejection fraction.

AIMS: Specialist cardiology care is associated with a prognostic benefit in patients with heart failure (HF) with reduced ejection fraction (HFrEF) admitted with decompensated HF. However, up to one third of patients admitted with HF and normal ejection fraction (HFnEF) do not receive specialist cardiology input. Whether this has prognostic implications is unknown. METHODS AND RESULTS: Data on patients hospitalized with HFnEF from two tertiary centres were analysed. The primary outcome measure was all-cause mortality during follow-up. The secondary outcome was in-hospital mortality. A total of 1413 patients were included in the study. Of these, 23% (n = 322) did not receive in-hospital specialist cardiology input. Patients seen by a cardiologist were less likely to have hypertension (73% vs. 79%, P = 0.03) and respiratory co-morbidities (25% vs. 31%, P = 0.02) compared with those who did not receive specialist input. Similarly, clinical presentation was more severe for those who received specialist input (New York Heart Association III/IV 83% vs. 75% respectively, P = 0.003; moderate-to-severe peripheral oedema 65% vs. 54%, P < 0.001). Medical management was similar, except for a higher use of diuretics (90% vs. 86%, P = 0.04) and a longer length of stay for patients who received specialist input (9 vs. 4 days, P < 0.001). Long-term outcomes were comparable between patients who received specialist input and those who did not. However, specialist input was independently associated with lower in-hospital mortality (hazard ratio 0.19, confidence interval 0.09-0.43, P < 0.001). CONCLUSIONS: In-hospital cardiology specialist input has no long-term prognostic advantage in patients with HFnEF but is independently associated with reduced in-hospital mortality.

Prognostic Role of Contraindicated Drugs in Hospitalized Patients with Decompensated Heart Failure.

Due to the ageing population, patients often present to the hospital with a high burden of comorbidities and polypharmacy. For patients admitted with decompensated heart failure (HF), the evidence on the effects of contraindicated drugs on long-term mortality is scarce. Therefore, we aimed to investigate the effect of contraindicated medications on outcomes of patients admitted with decompensated HF. We analyzed all consecutive patients from the National Heart Failure Audit admitted to two tertiary centers with acutely decompensated HF between April 2020 and October 2021. We included medication classes listed as contraindicated (class III) in the most recent European and American guidelines on the management of HF. The primary outcome measure was in-hospital mortality. The secondary outcome measure was overall mortality. Overall, 716 patients admitted with acute HF were included. One-fifth (n = 156, 21.8%) were on at least one contraindicated medication at admission. The prevalence of comorbidities was comparable between medication groups. During hospitalization, the use of nonsteroidal anti-inflammatory drugs (NSAIDs) was associated with increased in-hospital mortality (29% versus 9%, P = 0.013). On multivariable analyses, NSAID use was independently associated with worse in-hospital mortality (hazard ratio, 6.86; 95% confidence interval, 1.61-25.5; P = 0.005). However, other contraindicated medications were not associated with adverse outcomes. Postdischarge, the use of erythropoietin during admission was associated with increased mortality (54% versus 31%, P = 0.031). NSAID use is associated with increased in-hospital mortality for patients admitted with acute HF. However, inpatient use of other contraindicated medications was not associated with adverse in-hospital outcomes. Further studies are needed to confirm these results in larger and prospective cohorts. SIGNIFICANCE STATEMENT: Use of nonsteroidal anti-inflammatory drugs is associated with a worse in-hospital mortality in patients with decompensated heart failure. The prognostic role of other contraindicated medications remains still uncertain.

Syncope in ICD recipients: a single centre experience.

AIMS: There is little evidence of the impact of syncope in implantable cardioverter-defibrillator (ICD) patients in routine community hospital care. This single-centre retrospective study sought to evaluate the incidence and prognostic significance of syncope in consecutive ICD patients. METHODS AND RESULTS: Data were collected on consecutive patients undergoing first ICD implantation between January 2009 and December 2019. The primary endpoints were the first occurrence of all-cause syncope, all-cause mortality, and all-cause hospitalization. Multivariate Cox proportional hazard models were used to identify risk factors associated with syncope and to analyse the subsequent risk of mortality and hospitalization. 1003 patients (58% primary prevention) were included in the final analysis. During a mean follow-up of 1519 ± 1055 days, 106 (10.6%) experienced syncope, 304 died (30.3%), and 477 (47.5%) were hospitalized for any cause. In an analysis adjusted for baseline variables, the first occurrence of syncope was associated with a significantly increased risk of mortality (HR 2.82, P < 0.001) and the first occurrence of hospitalization (HR 2.46, P = 0.002). CONCLUSION: Syncope in ICD recipients is common and associated with a poor prognosis irrespective of baseline variables and ICD programming. The occurrence of syncope is associated with a significant increase in the risk of mortality and hospitalization.

Diuretic dose trajectories in dilated cardiomyopathy: prognostic implications.

BACKGROUND: For patients with heart failure, prescription of loop diuretics (LD) and of higher doses are associated with an adverse prognosis. We investigated LD dose trajectories and their associations with outcomes in patients with dilated cardiomyopathy (DCM). METHODS: Associations between outcomes and both furosemide-equivalent dose (FED) at enrolment and change in FED in the subsequent 24 months were evaluated. According to FED trajectory, patients were classified as (i) dose↑ (FED increase by ≥ 50% or newly initiated); (ii) dose↓ (FED decrease by ≥ 50%); (iii) stable dose (change in FED by < 50%); and (iv) never-users. The primary outcome was all-cause-death/heart transplantation/ventricular-assist-device/heart failure hospitalization. The secondary outcome was all-cause-death/heart transplantation/ventricular-assist-device. RESULTS: Of 1,131 patients enrolled, 738 (65%) were prescribed LD at baseline. Baseline FED was independently associated with outcome (HR per 20 mg increase: 1.12 [95% CI 1.04-1.22], p = 0.003). Of the 908 with information on FED within 24 months from enrolment, 31% were never-users; 29% were dose↓; 26% were stable dose and 14% were dose↑. In adjusted models, compared to never-users, stable dose had a higher risk of the primary outcome (HR 2.42 [95% CI 1.19-4.93], p = 0.015), while dose↑ had the worst prognosis (HR 2.76 [95% CI 1.27-6.03], p = 0.011). Results were similar for the secondary outcome. Compared to patients who remained on LD, discontinuation of LD (143, 24%) was associated with an improved outcome (HR 0.43 [95% CI 0.28-0.65], p < 0.001). CONCLUSIONS: In patients with DCM, LD use and increasing FED are powerful markers of adverse outcomes. Patients who never receive LD have an excellent prognosis. Among 1131 DCM patients 65% received loop diuretics at enrolment (upper left side). The bar chart on the upper right side shows the categorization in never-users/ dose↓/stable dose/ dose↑ over 24 months of follow-up. At the bottom is reported on the left side of each panel (observation period) the trajectory of LD dose in the four groups (left panel) and in patients who have their LD suspended vs those who continue LD (right panel) in the first two years. On the right side of each panel is shown the incidence of primary outcomes during the subsequent follow-up in the subgroups (outcome assessment).

Reshaping care in the aftermath of the pandemic. Implications for cardiology health systems.

In the last two years, the COVID-19 pandemic has undeniably changed everyday life and significantly reshaped the healthcare systems. Besides the direct effect on daily care leading to significant excess mortality, several collateral damages have been observed during the pandemic. The impact of the pandemic led to staff shortages, disrupted education, worse healthcare professional well-being, and a lack of proper clinical training and research. In this review we highlight the results of these important changes and how can the healthcare systems can adapt to prevent unprecedented events in case of future catastrophes.

Diagnostic signature for heart failure with preserved ejection fraction (HFpEF): a machine learning approach using multi-modality electronic health record data.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is thought to be highly prevalent yet remains underdiagnosed. Evidence-based treatments are available that increase quality of life and decrease hospitalization. We sought to develop a data-driven diagnostic model to predict from electronic health records (EHR) the likelihood of HFpEF among patients with unexplained dyspnea and preserved left ventricular EF. METHODS AND RESULTS: The derivation cohort comprised patients with dyspnea and echocardiography results. Structured and unstructured data were extracted using an automated informatics pipeline. Patients were retrospectively diagnosed as HFpEF (cases), non-HF (control cohort I), or HF with reduced EF (HFrEF; control cohort II). The ability of clinical parameters and investigations to discriminate cases from controls was evaluated by extreme gradient boosting. A likelihood scoring system was developed and validated in a separate test cohort. The derivation cohort included 1585 consecutive patients: 133 cases of HFpEF (9%), 194 non-HF cases (Control cohort I) and 1258 HFrEF cases (Control cohort II). Two HFpEF diagnostic signatures were derived, comprising symptoms, diagnoses and investigation results. A final prediction model was generated based on the averaged likelihood scores from these two models. In a validation cohort consisting of 269 consecutive patients [with 66 HFpEF cases (24.5%)], the diagnostic power of detecting HFpEF had an AUROC of 90% (P < 0.001) and average precision of 74%. CONCLUSION: This diagnostic signature enables discrimination of HFpEF from non-cardiac dyspnea or HFrEF from EHR and can assist in the diagnostic evaluation in patients with unexplained dyspnea. This approach will enable identification of HFpEF patients who may then benefit from new evidence-based therapies.

Prognostic relevance of demographic factors in cardiac magnetic resonance-proven acute myocarditis: A cohort study.

Aim: Acute myocarditis (AM) is a heterogeneous condition with variable estimates of survival. Contemporary criteria for the diagnosis of clinically suspected AM enable non-invasive assessment, resulting in greater sensitivity and more representative cohorts. We aimed to describe the demographic characteristics and long-term outcomes of patients with AM diagnosed using non-invasive criteria. Methods and results: A total of 199 patients with cardiac magnetic resonance (CMR)-confirmed AM were included. The majority (n = 130, 65%) were male, and the average age was 39 ± 16 years. Half of the patients were White (n = 99, 52%), with the remainder from Black and Minority Ethnic (BAME) groups. The most common clinical presentation was chest pain (n = 156, 78%), with smaller numbers presenting with breathlessness (n = 25, 13%) and arrhythmias (n = 18, 9%). Patients admitted with breathlessness were sicker and more often required inotropes, steroids, and renal replacement therapy (p < 0.001, p < 0.001, and p = 0.01, respectively). Over a median follow-up of 53 (IQR 34-76) months, 11 patients (6%) experienced an adverse outcome, defined as a composite of all-cause mortality, resuscitated cardiac arrest, and appropriate implantable cardioverter defibrillator (ICD) therapy. Patients in the arrhythmia group had a worse prognosis, with a nearly sevenfold risk of adverse events [hazard ratio (HR) 6.97; 95% confidence interval (CI) 1.87-26.00, p = 0.004]. Sex and ethnicity were not significantly associated with the outcome. Conclusion: AM is highly heterogeneous with an overall favourable prognosis. Three-quarters of patients with AM present with chest pain, which is associated with a benign prognosis. AM presenting with life-threatening arrhythmias is associated with a higher risk of adverse events.