Association of elevated levels of soluble transferrin receptor with left ventricular remodeling and mortality in patients with heart failure: Evidence from observational and genetic investigations

BACKGROUND

Iron deficiency (ID) is prevalent in heart failure (HF) patients and correlates with adverse outcomes. Serum soluble transferrin receptor (sTfR) levels reflect bone marrow and myocardial iron stores, potentially impacting HF prognosis. However, the specific role of sTfR in the progression of HF remains unclear.

METHODS

In a retrospective cohort of 391 patients with HF and left ventricular ejection fraction (LVEF) < 50 %, multivariate logistic regression and Cox proportional hazard regression identified mortality-associated factors. The receiver operating characteristic (ROC) curve determined sTfR cut-off value based on the area under the curve. Kaplan-Meier curves were used to compare the cumulative survival rates. Spearman's rank correlation assessed sTfR's relation to left ventricular (LV) parameters. Mendelian randomization (MR) analysis explored causal associations.

RESULTS

High sTfR levels (≥1.96 mg/L) predicted worse survival and were associated with increased LV volume and lower LVEF. sTfR correlated significantly with LV end-diastolic volume (LVEDV) (r = 0.09, P = 0.0152), LV end-systolic volume (LVESV) (r = 0.16, P = 0.0018), body surface area-indexed LVEDV (LVEDVI) (r = 0.12, P = 0.0140), body surface area-indexed LVESV (LVESVI) (r = 0.14, P = 0.0058), and negatively with LVEF (r = -0.20, P = 0.0001). MR analysis showed a causal link between elevated sTfR and increased LVEDV (β = 0.092; 95 % CI: 1.031-1.162; P = 0.0056) and LVESV (β = 0.089; 95 % CI: 1.027-1.058; P = 0.0079).

CONCLUSIONS

Elevated sTfR levels identify HF patients at higher risk of mortality and are linked to detrimental LV structural and functional changes, particularly enlargement of LVEDV and LVESV.

A Systematic Review of Metabolic Syndrome: Key Correlated Pathologies and Non-Invasive Diagnostic Approaches

Background and Objectives: Metabolic syndrome (MetS) is a condition marked by a complex array of physiological, biochemical, and metabolic abnormalities, including central obesity, insulin resistance, high blood pressure, and dyslipidemia (characterized by elevated triglycerides and reduced levels of high-density lipoproteins). The pathogenesis develops from the accumulation of lipid droplets in the hepatocyte (steatosis). This accumulation, in genetically predisposed subjects and with other external stimuli (intestinal dysbiosis, high caloric diet, physical inactivity, stress), activates the production of pro-inflammatory molecules, alter autophagy, and turn on the activity of hepatic stellate cells (HSCs), provoking the low grade chronic inflammation and the fibrosis. This syndrome is associated with a significantly increased risk of developing type 2 diabetes mellitus (T2D), cardiovascular diseases (CVD), vascular, renal, pneumologic, rheumatological, sexual, cutaneous syndromes and overall mortality, with the risk rising five- to seven-fold for T2DM, three-fold for CVD, and one and a half-fold for all-cause mortality. The purpose of this narrative review is to examine metabolic syndrome as a "systemic disease" and its interaction with major internal medicine conditions such as CVD, diabetes, renal failure, and respiratory failure. It is essential for internal medicine practitioners to approach this widespread condition in a "holistic" rather than a fragmented manner, particularly in Western countries. Additionally, it is important to be aware of the non-invasive tools available for assessing this condition. Materials and Methods: We conducted an exhaustive search on PubMed up to July 2024, focusing on terms related to metabolic syndrome and other pathologies (heart, Lung (COPD, asthma, pulmonary hypertension, OSAS) and kidney failure, vascular, rheumatological (osteoarthritis, rheumatoid arthritis), endocrinological, sexual pathologies and neoplastic risks. The review was managed in accordance with the PRISMA statement. Finally, we selected 300 studies (233 papers for the first search strategy and 67 for the second one). Our review included studies that provided insights into metabolic syndrome and non-invasive techniques for evaluating liver fibrosis and steatosis. Studies that were not conducted on humans, were published in languages other than English, or did not assess changes related to heart failure were excluded. Results: The findings revealed a clear correlation between metabolic syndrome and all the pathologies above described, indicating that non-invasive assessments of hepatic fibrosis and steatosis could potentially serve as markers for the severity and progression of the diseases. Conclusions: Metabolic syndrome is a multisystem disorder that impacts organs beyond the liver and disrupts the functioning of various organs. Notably, it is linked to a higher incidence of cardiovascular diseases, independent of traditional cardiovascular risk factors. Non-invasive assessments of hepatic fibrosis and fibrosis allow clinicians to evaluate cardiovascular risk. Additionally, the ability to assess liver steatosis may open new diagnostic, therapeutic, and prognostic avenues for managing metabolic syndrome and its complications, particularly cardiovascular disease, which is the leading cause of death in these patients.

Characteristics and outcome of hospitalized patients with heart failure stratified for chronic kidney disease

AIMS

Heart failure (HF) and chronic kidney disease (CKD) place significant challenges on the healthcare system, and their co-existence is associated with shared adverse outcomes. The multinational CaReMe project was initiated to provide contemporary, real-world epidemiological data on cardiovascular and reno-metabolic diseases. Utilizing data from the German CaReMe cohort, we characterize a multicentric HF population and describe in-hospital outcomes stratified for co-morbid CKD.

METHODS AND RESULTS

This retrospective, observational study analysed administrative data from inpatient cases hospitalized in 87 German Helios hospitals between 1 January 2016 and 31 August 2022. The first hospitalization of patients aged ≥18 years with a primary discharge diagnosis of HF, based on ICD-10 codes, were considered the index cases, and subsequent hospitalizations were considered as readmissions. Baseline characteristics and outcomes were stratified for co-morbid CKD using ICD-10-encoding from the index cases. Cox regression was utilized for readmission endpoints and in-hospital mortality. In total, 174 829 index cases (mean age 79 ± 15 years, 49.9% female) were included; of these, 55.0% had coexisting CKD. Patients with CKD were older, suffered from worse HF-related symptoms, had a higher co-morbidity burden, and in-hospital mortality was increased at index and during follow-up. Prevalent CKD was associated with higher rehospitalization rates and was an independent predictor for in-hospital death.

CONCLUSIONS

Within this HF inpatient cohort from a multicentric German database, CKD was diagnosed in more than half of the patients and was associated with increased in-hospital mortality at baseline and during follow-up. Rehospitalizations were observed earlier and more frequently in patients with HF and co-morbid CKD.

Diagnostic and prognostic value of microRNA423-5p in patients with heart failure

OBJECTIVES

MicroRNAs are considered as a class of potential biomarkers for HF. This study aimed to retrospectively evaluate the diagnostic and prognostic value of microRNA423-5p in patients with HF.

METHODS

The observational group comprised 98 patients diagnosed with HF due to coronary atherosclerotic heart disease (n = 45), hypertension (n = 26), or cardiac valve insufficiency (n = 27). Conversely, the control group consisted of 30 healthy volunteers without any history of HF. These patients were further classified into heart function class II (n = 33), class III (n = 32), and class IV (n = 33) according to the NYHA classification. Of these patients, 33 were diagnosed with HF with mid-range ejection fraction (HFmrEF) and the remaining 65 with HF with reduced ejection fraction (HFrEF). The diagnostic and prognostic significance of microRNA423-5p in patients with HF was assessed through laboratory parameter assessments (microRNA423-5p and B-type natriuretic peptide test, BNP), cardiac ultrasound evaluations (left ventricular ejection fraction, LVEF), and subsequent follow-up assessments.

RESULTS

In this study, we found that patients with HF exhibited notably elevated levels of microRNA423-5p and BNP, as well as significantly lower LVEF values. A significant positive correlation between microRNA423-5p and BNP indicators was validated. In addition, our study also revealed an elevation in the level of microRNA423-5p correlating with the progression of the HF. The combined evaluation of LEVF, BNP, and microRNA423-5p demonstrated superior diagnostic efficacy in comparison to the solitary use of BNP.

CONCLUSIONS

Elevated levels of microRNA423-5p in the serum of patients with HF suggest its potential utility as a novel biomarker for both the diagnosis and prognosis of this condition.

Heart failure with preserved ejection fraction: diagnosis, risk assessment, and treatment

The aetiology of heart failure with preserved ejection fraction (HFpEF) is heterogenous and overlaps with that of several comorbidities like atrial fibrillation, diabetes mellitus, chronic kidney disease, valvular heart disease, iron deficiency, or sarcopenia. The diagnosis of HFpEF involves evaluating cardiac dysfunction through imaging techniques and assessing increased left ventricular filling pressure, which can be measured directly or estimated through various proxies including natriuretic peptides. To better narrow down the differential diagnosis of HFpEF, European and American heart failure guidelines advocate the use of different algorithms including comorbidities that require diagnosis and rigorous treatment during the evaluation process. Therapeutic recommendations differ between guidelines. Whilst sodium glucose transporter 2 inhibitors have a solid evidence base, the recommendations differ with regard to the use of inhibitors of the renin-angiotensin-aldosterone axis. Unless indicated for specific comorbidities, the use of beta-blockers should be discouraged in HFpEF. The aim of this article is to provide an overview of the current state of the art in HFpEF diagnosis, clinical evaluation, and treatment.

Shifting the Paradigm: How Stress Hyperglycemia Alters the Landscape of Heart Failure Management

Background Acute decompensated heart failure (ADHF) significantly contributes to global morbidity. Stress hyperglycemia (SHGL), although commonly observed in non-diabetic ADHF patients, remains underexplored. This study investigates the predictive value of SHGL for major adverse cardiac events (MACEs) and its impact on coronary intervention outcomes. Methods In this prospective observational study at a tertiary care center, 650 non-diabetic ADHF patients admitted for coronary intervention between April 2021 and April 2022 were assessed. SHGL was defined by random blood sugar levels >140 mg/dl. We monitored the incidence of MACEs, including cardiac death, non-fatal myocardial infarction, and heart failure rehospitalization, alongside the success rates of coronary revascularizations over 12 months. Results SHGL was present in 54% of patients (n=352) and was significantly associated with increased MACEs (p<0.001), higher rehospitalization rates (p<0.01), and lower success in revascularization (p<0.05). Using logistic regression, SHGL, age >65, and prior heart failure hospitalization were identified as independent predictors of MACEs. Statistical analyses were performed using two-tailed Mann-Whitney U tests, with significance levels set at p<0.05 for noteworthy findings and p<0.01 or p<0.001 for highly significant findings. Conclusions SHGL significantly impacts coronary intervention outcomes and the future prognosis of heart failure in non-diabetic ADHF patients, identifying it as a critical, modifiable risk factor. These findings advocate integrating SHGL management into ADHF care, emphasizing the need for further research to develop standardized treatment protocols. Proper management of SHGL could potentially improve patient outcomes, highlighting the importance of metabolic control in heart failure management.

Epidemiology of Hajj pilgrimage mortality: Analysis for potential intervention

BACKGROUND

The Saudi Vision 2030 predicts the attendance of 30 million pilgrims each year by 2030. Cost-effective healthcare services during the Hajj are important to manage this increase in the number of pilgrims. Little is known about the impact of the existing chronic diseases on morbidity and mortality during the Hajj. Furthermore, the quality of services provided by Hajj hospitals warrants further study. This study aims to describe patterns of inpatient, all-cause mortality during the Hajj and the relationship between mortality and preexisting chronic diseases as well as the services provided in Hajj hospitals.

METHODS

The population included pilgrims who were admitted to Hajj hospitals in Makkah and sacred sites between 2012 and 2017, excluding 2015. A retrospective, matched, case-control study design was utilized. 2237 cases of mortality were matched to 4474 control cases based on age and gender. The data were extracted from hospital admissions offices and medical records. Hierarchical, logistic regression models were used to examine the medical services. The effect measure modification of the copresence of more than one chronic disease was also examined.

RESULTS

The rate of inpatient all-cause mortality was higher in Makkah hospitals compared to sacred site hospitals. Inpatient, all-cause mortality was significantly associated with diabetes, hypertension, and cardiovascular diseases. Effect measure modification was present between diabetes and cardiovascular diseases, hypertension, and cardiovascular diseases, but not between diabetes and hypertension. Patients who received medical services were more likely to die during their hospital stay compared to patients not receiving services.

CONCLUSION

The current focus on public health issues during the Hajj should be equally distributed between communicable and non-communicable diseases. Although advanced services are provided by Hajj hospitals, interventions to address the increased risks, including mortality, faced by pilgrims with preexisting, chronic diseases should be further investigated and considered.

Cardio-renal-metabolic disease in primary care setting

In the primary care setting providers have more tools available than ever before to impact positively obesity, diabetes, and their complications, such as renal and cardiac diseases. It is important to recognise what is available for treatment taking into account diabetes heterogeneity. For those who develop type 2 diabetes (T2DM), effective treatments are available that for the first time have shown a benefit in reducing mortality and macrovascular complications, in addition to the well-established benefits of glucose control in reducing microvascular complications. Some of the newer medications for treating hyperglycaemia have also a positive impact in reducing heart failure (HF). Technological advances have also contributed to improving the quality of care in patients with diabetes. The use of technology, such as continuous glucose monitoring systems (CGM), has improved significantly glucose and glycated haemoglobin A1c (HbA1c) values, while limiting the frequency of hypoglycaemia. Other technological support derives from the use of predictive algorithms that need to be refined to help predict those subjects who are at great risk of developing the disease and/or its complications, or who may require care by other specialists. In this review we also provide recommendations for the optimal use of the new medications; sodium-glucose co-transporter-2 inhibitors (SGLT2i) and Glucagon-like peptide-receptor agonists 1 (GLP1RA) in the primary care setting considering the relevance of these drugs for the management of T2DM also in its early stage.

Sodium-glucose cotransporter-2 inhibitors (SGLT2) in frail or older people with type 2 diabetes and heart failure: a systematic review and meta-analysis

OBJECTIVE

Sodium-glucose cotransporter-2 inhibitors (SGLT2Is) reduce cardio-metabolic and renal outcomes in patients with type 2 diabetes (T2D) but their efficacy and safety in older or frail individuals remains unclear.

METHODS

We searched PubMed, Scopus, Web of Science, Cochrane CENTRA and Google Scholar and selected randomised controlled trials and observational studies comparing SGLT2Is versus placebo/other glucose-lowering agent for people with frailty or older individuals (>65 years) with T2D and heart failure (HF). Extracted data on the change in HbA1c % and safety outcomes were pooled in a random-effects meta-analysis model.

RESULTS

We included data from 20 studies (22 reports; N = 77,083 patients). SGLT2Is did not significantly reduce HbA1c level (mean difference -0.13, 95%CI: -0.41 to 0.14). SGLT2Is were associated with a significant reduction in the risk of all-cause mortality (risk ratio (RR) 0.81, 95%CI: -0.69 to 0.95), cardiac death (RR 0.80, 95%CI: -0.94 to 0.69) and hospitalisation for heart failure (HHF) (RR 0.69, 95%CI: 0.59-0.81). However, SGLT2Is did not demonstrate significant effect in reducing in the risk of macrovascular events (acute coronary syndrome or cerebral vascular occlusion), renal progression/composite renal endpoint, acute kidney injury, worsening HF, atrial fibrillation or diabetic ketoacidosis.

CONCLUSIONS

In older or frail patients with T2D and HF, SGLT2Is are consistently linked with a decrease in total mortality and the overall burden of cardiovascular (CV) events, including HHF events and cardiac death, but not protective for macrovascular death or renal events. Adverse events were more difficult to quantify but the risk of diabetic ketoacidosis or acute kidney injury was not significantly increase.

Metformin treatment is associated with improved survival in diabetic patients hospitalized with acute heart failure: A prospective observational study using the Korean acute heart failure registry data

AIMS

Although the hypothesis that metformin is beneficial for patients with diabetes and heart failure (HF) has been steadily raised, there is limited data on metformin use in patients with acute HF. We analyzed the association of metformin on all-cause mortality in hospitalized patients with type 2 diabetes and acute HF.

METHODS

The Korean Acute Heart Failure registry prospectively enrolled patients hospitalized for acute HF from 2011 to 2014. Among this cohort, we analyzed patients with diabetes with baseline estimated glomerular filtration rate (eGFR) of 30 ml/min/1.73 m2 or more. We analyzed the all-cause mortality and re-hospitalization for HF within 1 year after discharge. Inverse probability treatment weighting method was used to adjust baseline differences on metformin treatment.

RESULTS

The study analyzed data from 1,309 patients with HF and diabetes (mean age 69 years, 56 % male). Among them, 613 (47 %) patients were on metformin at admission. During the median follow-up period of 11 months, 132 (19 %) and 74 (12 %) patients not receiving and receiving metformin treatment died, respectively. The mortality rate was lower in metformin users than in non-users (hazard ratio 0.616 [0.464-0.819] P<0.001). After adjustment, metformin was significantly associated with a lower risk for the mortality (hazard ratio 0.677 [0.495-0.928] P=0.015). In subgroup analyses, this association remains significant irrespective of baseline kidney function (eGFR <60 or ≥60 ml/min/1.73 m2, P-for-interaction=0.176) or left ventricular ejection fraction (<40 %, 40-49 %, or ≥50 %, P-for-interaction=0.224).

CONCLUSIONS

Metformin treatment at the time of admission was associated with a lower risk for 1-year mortality in patients with diabetes, hospitalized for acute HF.

Scoping Review of Measures of Comorbidities in Heart Failure

BACKGROUND

Comorbidities are risk factors for poor clinical outcomes in patients with heart failure. However, no consensus has been reached on how to assess comorbidities related to clinical outcomes in patients with heart failure.

OBJECTIVE

The aims of this study were to review (1) how comorbidities have been assessed, (2) what chronic conditions have been identified as comorbidities and (3) the rationale for choosing the comorbidity instruments and/or specific comorbidities when exploring clinical outcomes in patients with heart failure.

METHODS

The clinical outcomes of interest were mortality, hospitalization, quality of life, and self-care. Three electronic databases and reference list searches were used in the search.

RESULTS

In this review, we included 39 articles using 3 different ways to assess comorbidities in the relationship with clinical outcomes: using an instrument (ie, Charlson Comorbidity Index), disease count, and including individual comorbidities. A total of 90 comorbidities were investigated in the 39 articles; however, definitions and labels for the diseases were inconsistent across the studies. More than half of the studies (n = 22) did not provide a rationale for selecting the comorbidity instruments and/or all of the specific comorbidities. Some of the rationale for choosing the instruments and/or specific comorbidities was inappropriate.

CONCLUSIONS

We found several issues related to measuring comorbidities when examining clinical outcomes in patients with heart failure. Researchers need to consider these methodological issues when measuring comorbidities in patients with heart failure. Further efforts are needed to develop guidelines on how to choose proper measures for comorbidities.

[The Effects of Therapy for Iron Deficiency in Patients With Different Etiologies of Heart Failure and Concomitant Diseases]

Iron deficiency (ID) in patients with heart failure (HF) is a factor for unfavorable course and prognosis of the disease. The significance of ID in the diagnosis and treatment of HF has previously been demonstrated by multiple studies and meta-analyses. Therapy for ID in patients with HF is one of the most relevant and discussed issues. The use of intravenous iron medicinal products for the treatment of ID is currently being actively studied in patients of various categories; attempts are being made to specify the indications for use to produce the greatest effect on the prognosis and quality of life of HF patients.

Monocyte to high-density lipoprotein cholesterol ratio predicts poor outcomes in ischaemic heart failure patients combined with diabetes: a retrospective study

BACKGROUND

The prevalence of ischaemic heart failure (HF) continues to increase. Diabetes mellitus (DM) concomitant with ischaemic HF increases the risk of major adverse cardiovascular events (MACEs). As a promising predictor for cardiovascular diseases, the predictive value of the monocyte to high-density lipoprotein cholesterol ratio (MHR) for MACE in the ischaemic HF with DM cohort has never been investigated before.

OBJECTIVE

We aimed to investigate the MHR as a predictor for MACE in ischaemic HF patients with DM who underwent percutaneous coronary intervention (PCI).

METHODS

This observational study enrolled 1049 patients with ischaemic HF and DM undergoing PCI from June 2017 to June 2019. The baseline data were collected. MACEs, including all-cause mortality, nonfatal myocardial infarction, and any revascularization, were recorded within the 36-month follow-up. The characteristics and incidence of MACE were analysed in four groups stratified by the quartiles of MHR. The hazard ratio for MACE was analysed with Cox regression models. The incidence of MACE in the four groups was evaluated by Kaplan‒Meier survival analysis. Restricted cubic spline analysis was performed to determine the nonlinear correlation between the MHR and MACE.

RESULTS

After the 36-month follow-up, 407 patients (38.8%) experienced MACEs. The incidence of MACE was significantly higher among patients in the upper MHR quartile than among those in the lower MHR quartiles (23.4% vs. 36.0% vs. 41.4% and 54.6%; P < 0.001, respectively), which was consistent with the Kaplan‒Meier survival analyses (P < 0.0001). A multivariate Cox regression model showed that the MHR was an independent risk factor for MACE after variables were adjusted (adjusted HR: 2.11; 95% CI 1.47-3.03; P < 0.001). Its predictive effects on MACE showed no interaction with hypercholesterolemia (P > 0.05).

CONCLUSION

The MHR was a significant and independent predictor of MACEs in ischaemic HF patients with DM undergoing PCI.

Prognostic impact of metformin in patients with type 2 diabetes mellitus and acute heart failure: Combined analysis of the EAHFE and RICA registries

INTRODUCTION

Patients with diabetes mellitus (DM) and heart failure (HF) have a worse prognosis despite therapeutic advances in both diseases. Sodium-glucose co-transporter type 2 and GLP-1 receptor agonists have shown cardiovascular benefits and they have been positioned as the first step in the treatment of DM in patients with HF or high cardiovascular risk. However, in the pivotal trials the majority of patients receive concomitant treatment with metformin. Randomized clinical trials have not yet been developed to assess the prognostic impact of metformin at the cardiovascular level. Our objective has been centered in analyzing whether patients with DM and acute HF who receive treatment with metformin at the time of discharge may have a better prognosis at one year of follow-up.

METHODS

Prospective cohort trial using the combined analysis of the two main Spanish HF registries, the EAHFE Registry (Epidemiology of Acute Heart Failure in Emergency Departments) and the RICA (National Registry of Patients with Heart Failure).

RESULTS

33% (1453) of a total of 4403 patients with DM type 2 received treatment with metformin. This group presents significantly lower mortality after one year of treatment (22 versus 32%; Log Rank test P < 0.001). In the adjusted analysis of mortality, patients receiving treatment with metformin have lower mortality at one year of follow-up regardless of the rest of the variables (RR 0,814; 95%IC 0,712-0,930; P < 0.01).

CONCLUSIONS

Patients with DM type 2 and acute HF who receive metformin have a better prognosis after one year of follow-up, so we believe that this drug should continue to be a fundamental pillar in the treatment of these patients.

Current understanding of structural and molecular changes in diabetic cardiomyopathy

Diabetic Mellitus has been characterized as the most prevalent disease throughout the globe associated with the serious morbidity and mortality of vital organs. Cardiomyopathy is the major leading complication of diabetes and within this, myocardial dysfunction or failure is the leading cause of the emergency hospital admission. The review is aimed to comprehend the perspectives associated with diabetes-induced cardiovascular complications. The data was collected from several electronic databases such as Google Scholar, Science Direct, ACS publication, PubMed, Springer, etc. using the keywords such as diabetes and its associated complication, the prevalence of diabetes, the anatomical and physiological mechanism of diabetes-induced cardiomyopathy, the molecular mechanism of diabetes-induced cardiomyopathy, oxidative stress, and inflammatory stress, etc. The collected scientific data was screened by different experts based on the inclusion and exclusion criteria of the study. This review findings revealed that diabetes is associated with inefficient substrate utilization, inability to increase glucose metabolism and advanced glycation end products within the diabetic heart resulting in mitochondrial uncoupling, glucotoxicity, lipotoxicity, and initially subclinical cardiac dysfunction and finally in overt heart failure. Furthermore, several factors such as hypertension, overexpression of renin angiotensin system, hypertrophic obesity, etc. have been seen as majorly associated with cardiomyopathy. The molecular examination showed biochemical disability and generation of the varieties of free radicals and inflammatory cytokines and becomes are the substantial causes of cardiomyopathy. This review provides a better understanding of the involved pathophysiology and offers an open platform for discussing and targeting therapy in alleviating diabetes-induced early heart failure or cardiomyopathy.

Relationship between comorbidity and health outcomes in patients with heart failure: a systematic review and meta-analysis

BACKGROUND

The prevalence of heart failure (HF) is expected to rise due to increased survivorship and life expectancy of patients with acute heart conditions. Patients with HF and other multiple comorbid conditions are likely to have poor health outcomes. This study aimed to assimilate the current body of knowledge and to provide the pooled effect of HF patients' comorbid conditions on health outcomes.

METHODS

A systematic search was performed using MEDLINE, EMBASE and CINAHL databases. Observational studies evaluating the relationship between comorbid conditions and the health outcomes of HF were included. The pooled effect sizes of comorbidity on the identified health outcomes were calculated using a random effects model, and the heterogeneity was evaluated using I2 statistics.

RESULTS

A total of 42 studies were included in this review, and a meta-analysis was performed using the results of 39 studies. In the pooled analysis, the presence of a comorbid condition showed a significant pooled effect size in relation to the prognostic health outcomes: all-cause mortality (HR 1.31; 95% CI 1.18, 1.45), all-cause readmission (HR 1.16; 95% CI 1.09, 1.23), HF-related readmission (HR 1.13; 95% CI 1.05, 1.23), and non-HF-related readmission (HR 1.17; 95% CI 1.07, 1.27). Also, comorbidity was significantly associated with health-related quality of life and self-care confidence. Furthermore, we identified a total of 32 comorbid conditions from included studies. From these, 16 individual conditions were included in the meta-analyses, and we identified 10 comorbid conditions to have negative effects on overall prognostic outcomes: DM (HR 1.16, 95% CI 1.11, 1.22), COPD (HR 1.31, 95% CI 1.23, 1.39), CKD (HR 1.18, 95% CI 1.14, 1.23, stroke (HR 1.25, 95% CI 1.17, 1.31), IHD (HR 1.17, 95% CI 1.11, 1.23), anemia (HR 1.42, 95% CI 1.14, 1.78), cancer (HR 1.17, 95% CI 1.04, 1.32), atrial fibrillation (HR 1.25, 95% CI 1.01, 1.54), dementia (HR 1.19, 95% CI 1.03, 1.36) and depression (HR 1.17, 95% CI 1.04, 1.31).

CONCLUSIONS

Comorbid conditions have significantly negative pooled effects on HF patient health outcomes, especially in regard to the prognostic health outcomes. Clinicians should carefully identify and manage these conditions when implementing HF interventions to improve prognostic outcomes.

Gut-derived short-chain fatty acids bridge cardiac and systemic metabolism and immunity in heart failure

Heart failure (HF) represents a group of complex clinical syndromes with high morbidity and mortality and has a significant global health burden. Inflammation and metabolic disorders are closely related to the development of HF, which are complex and depend on the severity and type of HF and common metabolic comorbidities such as obesity and diabetes. An increasing body of evidence indicates the importance of short-chain fatty acids (SCFAs) in regulating cardiac function. In addition, SCFAs represent a unique class of metabolites and play a distinct role in shaping systemic immunity and metabolism. In this review, we reveal the role of SCFAs as a link between metabolism and immunity, which regulate cardiac and systemic immune and metabolic systems by acting as energy substrates, inhibiting the expression of histone deacetylase (HDAC) regulated genes and activating G protein-coupled receptors (GPCRs) signaling. Ultimately cardiac efficiency is improved, cardiac inflammation alleviated and cardiac function in failing hearts enhanced. In conclusion, SCFAs represent a new therapeutic approach for HF.

Predictors and prognostic implications of hospital-acquired pneumonia in patients admitted for acute heart failure

Introduction

Data on predictors and prognosis of hospital acquired pneumonia (HAP) in patients admitted for acute heart failure (AHF) to intensive care units (ICU) are scarce. Better knowledge of these factors may inform management strategies. This study aimed to assess the incidence and predictors of HAP and its impact on management and outcomes in patients hospitalised for AHF in the ICU.

Methods

this was a retrospective single-centre observational study. Patient-level and outcome data were collected from an anonymized registry-based dataset. Primary outcome was in-hospital all-cause mortality and secondary outcomes included length of stay (LOS), requirement for inotropic/ventilatory support, and prescription patterns of heart failure (HF) drug classes at discharge.

Results

Of 638 patients with AHF (mean age, 71.6 ± 12.7 years, 61.9% male), HAP occurred in 137 (21.5%). In multivariable analysis, HAP was predicted by de novo AHF, higher NT proB-type natriuretic peptide levels, pleural effusion on chest x-ray, mitral regurgitation, and a history of stroke, diabetes, and chronic kidney disease. Patients with HAP had a longer LOS, and a greater likelihood of requiring inotropes (adjusted odds ratio, OR, 2.31, 95% confidence interval, CI, 2.16-2.81; p < 0.001) or ventilatory support (adjusted OR 2.11, 95%CI, 1.76-2.79, p < 0.001). After adjusting for age, sex and clinical covariates, all-cause in-hospital mortality was significantly higher in patients with HAP (hazard ratio, 2.10; 95%CI, 1.71-2.84; p < 0.001). Patients recovering from HAP were less likely to receive HF medications at discharge.

Discussion

HAP is frequent in AHF patients in the ICU setting and more prevalent in individuals with de novo AHF, mitral regurgitation, higher burden of comorbidities, and more severe congestion. HAP confers a greater risk of complications and in-hospital mortality, and a lower likelihood of receiving evidence-based HF medications at discharge.

Intravenous ferric carboxymaltose for iron repletion following acute heart failure in patients with and without diabetes: a subgroup analysis of the randomized AFFIRM-AHF trial

BACKGROUND

In AFFIRM-AHF, treatment of iron deficiency with intravenous ferric carboxymaltose (FCM) reduced the risk of heart failure (HF) hospitalization and improved quality of life (QoL) vs placebo in patients stabilized following an acute HF (AHF) episode, with no effect on cardiovascular (CV) death. Diabetes and iron deficiency frequently accompany AHF. This post hoc analysis explored the effects of diabetes on outcomes in AFFIRM-AHF patients.

METHODS

Patients were stratified by diabetes yes/no at baseline. The effects of FCM vs placebo on primary (total HF hospitalizations and CV death) and secondary (total CV hospitalizations and CV death; CV death; total HF hospitalizations; time to first HF hospitalization or CV death; and days lost due to HF hospitalizations or CV death) endpoints at Week 52 and change vs baseline in disease-specific QoL (12-item Kansas City Cardiomyopathy Questionnaire [KCCQ-12]) at Week 24 were assessed by subgroup. For each endpoint, the interaction between diabetes status and treatment outcome was explored.

RESULTS

Of 1108 AFFIRM-AHF patients, 475 (FCM: 231; placebo: 244) had diabetes and 633 (FCM: 327; placebo: 306) did not have diabetes. Patients with diabetes were more commonly male (61.5% vs 50.9%), with a higher frequency of ischemic HF etiology (57.9% vs 39.0%), prior HF history (77.7% vs 66.5%), and comorbidities (including previous myocardial infarction [49.3% vs 32.9%] and chronic kidney disease [51.4% vs 32.4%]) than those without diabetes. The annualized event rate/100 patient-years with FCM vs placebo for the primary endpoint was 66.9 vs 80.9 in patients with diabetes (rate ratio [RR]: 0.83, 95% CI 0.58-1.81) and 51.3 vs 66.9 in patients without diabetes (RR: 0.77, 95% CI 0.55-1.07), with no significant interaction between diabetes status and treatment effect (pinteraction = 0.76). Similar findings were observed for secondary outcomes. Change from baseline in KCCQ-12 overall summary score was numerically greater with FCM vs placebo at almost all time points in both subgroups, with no interaction between diabetes and treatment effect at Week 24.

CONCLUSIONS

The clinical and QoL benefits observed with intravenous FCM in patients with iron deficiency following stabilization from an AHF episode are independent of diabetes status. Trial registration Clinicaltrials.gov, NCT02937454 (registered 10.18.2016).

Impact of type 2 diabetes on life expectancy and role of kidney disease among inpatients with heart failure in Switzerland: an ambispective cohort study

BACKGROUND

Type 2 diabetes (T2D) is expected to worsen the prognosis of inpatients with heart failure (HF) but the evidence from observational studies is inconsistent. We aimed to compare mortality outcomes and life expectancy among inpatients with HF with or without T2D and explored whether chronic kidney disease (CKD) influenced these associations.

METHODS

We collected hospital and civil registry records of consecutive inpatients from a tertiary hospital in Switzerland with a diagnosis of HF from the year 2015 to 2019. We evaluated the association of T2D with mortality risk using Cox regression and adjusted for confounders.

RESULTS

Our final cohort consisted of 10,532 patients with HF of whom 27% had T2D. The median age (interquartile range [IQR]) was 75 [68 to 82] and 78 [68 to 86] for the diabetes and non-diabetes groups, respectively. Over a median follow-up [IQR] of 4.5 years [3.3 to 5.6], 5,347 (51%) of patients died. T2D patients had higher risk of all-cause mortality (hazard ratio [HR] 1.21, 95% confidence interval [CI] 1.14 to 1.29). Compared to control (i.e. no T2D nor CKD), average life expectancy (95% CI) among T2D patients, CKD, or both was shorter by 5.4 months (95% CI 1.1 to 9.7), 9.0 months (95% CI 8.4 to 9.6), or 14.8 months (95% CI 12.4 to 17.2), respectively. No difference by sex or ejection fraction category was observed.

CONCLUSIONS

T2D is associated with a significantly higher risk of all-cause mortality and shorter life expectancy compared to those without among middle-aged and elderly inpatients with HF; presence of CKD may further increase these risks.

Predicting 1-year mortality of patients with diabetes mellitus in Kazakhstan based on administrative health data using machine learning

Diabetes mellitus (DM) affects the quality of life and leads to disability, high morbidity, and premature mortality. DM is a risk factor for cardiovascular, neurological, and renal diseases, and places a major burden on healthcare systems globally. Predicting the one-year mortality of patients with DM can considerably help clinicians tailor treatments to patients at risk. In this study, we aimed to show the feasibility of predicting the one-year mortality of DM patients based on administrative health data. We use clinical data for 472,950 patients that were admitted to hospitals across Kazakhstan between mid-2014 to December 2019 and were diagnosed with DM. The data was divided into four yearly-specific cohorts (2016-, 2017-, 2018-, and 2019-cohorts) to predict mortality within a specific year based on clinical and demographic information collected up to the end of the preceding year. We then develop a comprehensive machine learning platform to construct a predictive model of one-year mortality for each year-specific cohort. In particular, the study implements and compares the performance of nine classification rules for predicting the one-year mortality of DM patients. The results show that gradient-boosting ensemble learning methods perform better than other algorithms across all year-specific cohorts while achieving an area under the curve (AUC) between 0.78 and 0.80 on independent test sets. The feature importance analysis conducted by calculating SHAP (SHapley Additive exPlanations) values shows that age, duration of diabetes, hypertension, and sex are the top four most important features for predicting one-year mortality. In conclusion, the results show that it is possible to use machine learning to build accurate predictive models of one-year mortality for DM patients based on administrative health data. In the future, integrating this information with laboratory data or patients' medical history could potentially boost the performance of the predictive models.

Cardiorenal syndrome and diabetes: an evil pairing

Cardiorenal syndrome (CRS) is a pathology where the heart and kidney are involved, and the deterioration of one of them leads to the malfunction of the other. Diabetes mellitus (DM) carries a higher risk of HF and a worse prognosis. Furthermore, almost half of people with DM will have chronic kidney disease (CKD), which means that DM is the main cause of kidney failure. The triad of cardiorenal syndrome and diabetes is known to be associated with increased risk of hospitalization and mortality. Cardiorenal units, with a multidisciplinary team (cardiologist, nephrologist, nursing), multiple tools for diagnosis, as well as new treatments that help to better control cardio-renal-metabolic patients, offer holistic management of patients with CRS. In recent years, the appearance of drugs such as sodium-glucose cotransporter type 2 inhibitors, have shown cardiovascular benefits, initially in patients with type 2 DM and later in CKD and heart failure with and without DM2, offering a new therapeutic opportunity, especially for cardiorenal patients. In addition, glucagon-like peptide-1 receptor agonists have shown CV benefits in patients with DM and CV disease in addition to a reduced risk of CKD progression.

Diabetes leading to heart failure and heart failure leading to diabetes: epidemiological and clinical evidence

Type 2 diabetes mellitus (T2DM) is a risk factor that plays a major role in the onset of heart failure (HF) both directly, by impairing cardiac function, and indirectly, through associated diseases such as hypertension, coronary disease, renal dysfunction, obesity, and other metabolic disorders. In a population of HF patients, the presence of T2DM ranged from 20 to 40%, according to the population studied, risk factor characteristics, geographic area, and age, and it is associated with a worse prognosis. Finally, patients with HF, when compared with those without HF, show an increased risk for the onset of T2DM due to several mechanisms that predispose the HF patient to insulin resistance. Despite the epidemiological data confirmed the relationship between T2DM and HF, the exact prevalence of HF in T2DM comes from interventional trials rather than from observational registries aimed to prospectively evaluate the risk of HF occurrence in T2DM population. This review is focused on the vicious cycle linking HF and T2DM, from epidemiological data to prognostic implications.

Relationship between disorders of the intestinal microbiota and heart failure in infants with congenital heart disease

Purpose

There is a close relationship between the intestinal microbiota and heart failure, but no study has assessed this relationship in infants with congenital heart disease. This study aimed to explore the relationship between heart failure and intestinal microbiota in infants with congenital heart disease.

Methods

Twenty-eight infants with congenital heart disease with heart failure admitted to a provincial children’s hospital from September 2021 to December 2021 were enrolled in this study. A total of 22 infants without heart disease and matched for age, sex, and weight were selected as controls. Faecal samples were collected from every participant and subjected to 16S rDNA gene sequencing.

Results

The composition of the intestinal microbiota was significantly disordered in infants with heart failure caused by congenital heart disease compared with that in infants without heart disease. At the phylum level, the most abundant bacteria in the heart failure group were Firmicutes, Actinobacteria, Proteobacteria, and Bacteroidetes, and the most abundant bacteria in the control group were Firmicutes, Proteobacteria, Actinobacteria, and Bacteroidetes. At the genus level, the most abundant bacteria in the heart failure group were Enterococcus, Bifidobacterium, Subdoligranulum, Shigella, and Streptococcus, and the most abundant bacteria in the control group were Bifidobacterium, Blautia, Bacteroides, Streptococcus, and Ruminococcus. The alpha and beta diversities of the gut bacterial community in the heart failure group were significantly lower than those in the control group (p&lt;0.05). Compared with the control group, retinol metabolism was significantly downregulated in the heart failure group.

Conclusion

Heart failure in infants with congenital heart disease caused intestinal microbiota disorder, which was characterised by an increase in pathogenic bacteria, a decrease in beneficial bacteria, and decreases in diversity and richness. The significant downregulation of retinol metabolism in the intestinal microbiota of infants with heart failure may be related to the progression of heart failure, and further study of the underlying mechanism is needed.

Evaluation of sodium-glucose cotransporter 2 inhibitors for renal prognosis and mortality in diabetes patients with heart failure on diuretics

Previous studies about renal protection of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in type 2 diabetes mellitus (T2DM) patients with heart failure (HF) on diuretics were still limited. The goal of the study is to survey the efficacy of SGLT2i to reduce all-cause mortality and renal impairments in patients with T2DM and HF using diuretics. The retrospective cohort study was analyzed from Kaohsiung Medical University Hospital Research Database (KMUHRD) in Taiwan. Adults with T2DM and HF using any diuretics at least 28 days during 2016-2018 were enrolled and then divided into the SGLT2i group and the non-SGLT2i group. Propensity score matching was used to balance baseline characteristics between the two groups. The primary outcome was all-cause mortality. Secondary outcomes contained dialysis occurrence, renal progression, and acute kidney injury (AKI). After 1:1 matching, there were 183 patients in each group respectively. When compared with the non-SGLT2i group, the SGLT2i group had significantly lower all-cause mortality (hazard ratios [HR]: 0.49, 95% CI 0.29-0.83, p = 0.008) and reduction of renal progression (HR: 0.30, 95% CI 0.12-0.75, p = 0.010). SGLT2i showed the trend to decrease dialysis occurrence (HR: 0.83, 95% CI 0.20-3.47, p = 0.797) and an increase in AKI (HR: 1.38, 95% CI 0.67-2.87, p = 0.383) but without significance. SGLT2 inhibitors were associated with reduced all-cause mortality and less renal progression with significance in T2DM patients with HF on diuretics.

Treatment of HFpEF beyond the SGLT2-Is: Does the Addition of GLP-1 RA Improve Cardiometabolic Risk and Outcomes in Diabetic Patients?

Heart failure with preserved ejection fraction (HFpEF) is a common clinical syndrome frequently seen in elderly patients, the incidence of which is steadily increasing due to an ageing population and the increasing incidence of diseases, such as diabetes, hypertension, obesity, chronic renal failure, and so on. It is a multifactorial disease with different phenotypic aspects that share left ventricular diastolic dysfunction, and is the cause of about 50% of hospitalizations for heart failure in the Western world. Due to the complexity of the disease, no specific therapies have been identified for a long time. Sodium-Glucose Co-Transporter 2 Inhibitors (SGLT2-Is) and Glucagon-Like Peptide Receptor Agonists (GLP-1 RAs) are antidiabetic drugs that have been shown to positively affect heart and kidney diseases. For SGLT2-Is, there are precise data on their potential benefits in heart failure with reduced ejection fraction (HFrEF) as well as in HFpEF; however, insufficient evidence is available for GLP-1 RAs. This review addresses the current knowledge on the cardiac effects and potential benefits of combined therapy with SGLT2-Is and GLP-1RAs in patients with HFpEF.

Predicting incident heart failure among patients with type 2 diabetes mellitus: The DM-CURE risk score

AIM

Early identification and prediction of incident heart failure (HF) is important because of severe morbidity and mortality. This study aimed to predict onset of HF among patients with diabetes.

METHODS

A time-varying Cox model was derived from ACCORD clinical trial to predict the risk of incident HF, defined by hospitalization for HF (HHF). External validation was performed on patient-level data from the Harmony Outcome trial and Chronic Renal Insufficiency Cohort (CRIC) study. The model was transformed into an integer-based scoring algorithm for 10-year risk evaluation. A stepwise algorithm identified and selected predictors from demographic characteristics, physical examination, laboratory results, medical history, medication and health care utilization, to develop a risk prediction model. The main outcome was incident HF, defined by HHF. The C statistic and Brier score were used to assess model performance.

RESULTS

In total, 9649 patients with diabetes free of HF were used, with median follow-up of 4 years and 299 incident hospitalization of HF events. The model identified several predictors for the 10-year HF incidence risk score 'DM-CURE': socio-Demographic [education, age at type 2 diabetes (T2DM) diagnosis], Metabolic (glycated haemoglobin, systolic blood pressure, body mass index, high-density lipoproteins), diabetes-related Complications (myocardial infarction, revascularization, cardiovascular medications, neuropathy, hypertension duration, albuminuria, urine albumin-to-creatinine ratio, End Stage Kidney Disease), and health care Utilization (all-cause hospitalization, emergency room visits) for Risk Evaluation. Among them, the strongest impact factors for future HF were age at T2DM diagnosis, health care utilization and cardiovascular disease-related variables. The model showed good discrimination (C statistic: 0.838, 95% CI: 0.821-0.855) and calibration (Brier score: 0.006, 95% CI: 0.006-0.007) in the ACCORD data and good performance in the validation data (Harmony: C statistic: 0.881, 95% CI: 0.863-0.899; CRIC: C statistic: 0.813, 95% CI: 0.794-0.833). The 10-year risk of incident HF increased in a graded fashion, from ≤1% in quintile 1 (score ≤14), 1%-5% in quintile 2 (score 15-23), 5%-10% in quintile 3 (score 24-27), 10%-20% in quintile 4 (score 28-33) and ≥20% in quintile 5 (score >33).

CONCLUSIONS

The DM-CURE model and score were useful for population risk stratification of incident HHF among patients with T2DM and can be easily applied in clinical practice.

Development and validation of a clinical predictive model for 1-year prognosis in coronary heart disease patients combine with acute heart failure

Background

The risk factors for acute heart failure (AHF) vary, reducing the accuracy and convenience of AHF prediction. The most common causes of AHF are coronary heart disease (CHD). A short-term clinical predictive model is needed to predict the outcome of AHF, which can help guide early therapeutic intervention. This study aimed to develop a clinical predictive model for 1-year prognosis in CHD patients combined with AHF.

Materials and methods

A retrospective analysis was performed on data of 692 patients CHD combined with AHF admitted between January 2020 and December 2020 at a single center. After systemic treatment, patients were discharged and followed up for 1-year for major adverse cardiovascular events (MACE). The clinical characteristics of all patients were collected. Patients were randomly divided into the training (n = 484) and validation cohort (n = 208). Step-wise regression using the Akaike information criterion was performed to select predictors associated with 1-year MACE prognosis. A clinical predictive model was constructed based on the selected predictors. The predictive performance and discriminative ability of the predictive model were determined using the area under the curve, calibration curve, and clinical usefulness.

Results

On step-wise regression analysis of the training cohort, predictors for MACE of CHD patients combined with AHF were diabetes, NYHA ≥ 3, HF history, Hcy, Lp-PLA2, and NT-proBNP, which were incorporated into the predictive model. The AUC of the predictive model was 0.847 [95% confidence interval (CI): 0.811–0.882] in the training cohort and 0.839 (95% CI: 0.780–0.893) in the validation cohort. The calibration curve indicated good agreement between prediction by nomogram and actual observation. Decision curve analysis showed that the nomogram was clinically useful.

Conclusion

The proposed clinical prediction model we have established is effective, which can accurately predict the occurrence of early MACE in CHD patients combined with AHF.

Impact of diabetes and on-arrival hyperglycemia on short-term outcomes in acute heart failure patients

The impact of diabetes mellitus (DM) and hyperglycemia on short-term prognosis in patients with acute heart failure (AHF) remains controversial as most data comes from series of hospitalized patients. Our purpose was to analyze outcomes in a nation-wide registry of AHF patients attended in emergency department (ED). ED AHF patients were prospectively enrolled, with the index event and the vulnerable post-discharge phase outcomes recorded. The influence of presenting hyperglycemia (> 180 mg/dL) and DM treatment on prognosis were also investigated. All results were adjusted (a) for baseline characteristics. Of 9192 enrolled AHF patients, 4544 (49,4%) were diabetic, with 24% of diabetics and 25.1% of non-diabetic (p = 0.247) directly discharged from the ED also included. Diabetics had higher rates of comorbidities, but were slightly younger and had lower in-hospital and 30 day all-cause mortality than non-diabetics (a-OR = 0.827, 95% CI = 0.690-0980; and a-HR = 0.850, 95% CI = 0.814-1.071, respectively). Conversely, hyperglycemia on-arrival was associated with increased in-hospital, and 30 day all-cause mortality, in both DM (a-OR = 1.933, 95% CI = 1.378-2.712, and a-HR = 1.590, 95% CI = 1.304-1.938, respectively) and non-DM patients (a-OR = 1.498, 95% CI = 1.175-1.909, and a-HR = 1.719, 95% CI = 1.306-2.264, respectively). However, during the vulnerable phase, diabetics had worse short-term outcomes, with higher rates of ED-revisit and rehospitalization. These worse outcomes seemed to be unrelated to the severity of DM. In patients with AHF attended in ED, diabetes was associated with lower index event case fatality, but higher rates of rehospitalization and re-consultation in the vulnerable post-discharge period. Conversely, hyperglycemia at hospital arrival was strongly associated with early mortality, regardless of diabetes status.

Development of Prediction Model to Estimate the Risk of Heart Failure in Diabetes Mellitus

Background

Heart failure (HF) is a leading cause of mortality and disability in patients with diabetes mellitus (DM). The aim of the study is to predict the risk of HF incidence in patients with DM by developing a risk prediction model.

Methods

We constructed a regression model based on 270 inpatients with DM between February 2018 and January 2019. Binary logistic regression was applied to develop the final model incorporating the predictors selected by least absolute shrinkage and selection operator regression. The nomogram was estimated with an area under the receiver operator characteristic curve and calibration diagram and validated with the bootstrap method.

Results

Risk factors including age, coronary heart disease (CHD), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) were incorporated in the final model as predictors. Age ≥ 61 years old, LDL, and CHD were risk factors for DM with HF, with odds ratios (ORs) of 32.84 (95% CI: 6.74, 253.99), 1.33 (95% CI: 1.06, 1.72), and 3.94 (95% CI: 1.43, 13.43), respectively. HDL was a protective factor with an OR of 0.11 (95% CI: 0.04, 0.28). The area under curve of the model was 0.863 (95% confidence interval, 0.812∼0.913). The plot of the calibration showed that there was a good consistency between predicted probability and actual probability. Harrell’s C-index of the nomogram was 0.845, and the model showed satisfactory calibration in the internal validation cohort.

Conclusion

The prediction nomogram we developed can estimate the possibility of HF in patients with DM according the predictor items.

Biomarkers for the prediction of heart failure and cardiovascular events in patients with type 2 diabetes: a position statement from the Heart Failure Association of the European Society of Cardiology

Knowledge on risk predictors of incident heart failure (HF) in patients with type 2 diabetes (T2D) is crucial given the frequent coexistence of the two conditions and the fact that T2D doubles the risk of incident HF. In addition, HF is increasingly being recognized as an important endpoint in trials in T2D. On the other hand, the diagnostic and prognostic performance of established cardiovascular biomarkers may be modified by the presence of T2D. The present position paper, derived by an expert panel workshop organized by the Heart Failure Association of the European Society of Cardiology, summarizes the current knowledge and gaps in evidence regarding the use of a series of different biomarkers, reflecting various pathogenic pathways, for the prediction of incident HF and cardiovascular events in patients with T2D and in those with established HF and T2D.

Mechanisms of Cardiorenal Protection With SGLT2 Inhibitors in Patients With T2DM Based on Network Pharmacology

Purpose

Sodium-glucose cotransporter 2 (SGLT2) inhibitors have cardiorenal protective effects regardless of whether they are combined with type 2 diabetes mellitus, but their specific pharmacological mechanisms remain undetermined.

Materials and Methods

We used databases to obtain information on the disease targets of “Chronic Kidney Disease,” “Heart Failure,” and “Type 2 Diabetes Mellitus” as well as the targets of SGLT2 inhibitors. After screening the common targets, we used Cytoscape 3.8.2 software to construct SGLT2 inhibitors' regulatory network and protein-protein interaction network. The clusterProfiler R package was used to perform gene ontology functional analysis and Kyoto encyclopedia of genes and genomes pathway enrichment analyses on the target genes. Molecular docking was utilized to verify the relationship between SGLT2 inhibitors and core targets.

Results

Seven different SGLT2 inhibitors were found to have cardiorenal protective effects on 146 targets. The main mechanisms of action may be associated with lipid and atherosclerosis, MAPK signaling pathway, Rap1 signaling pathway, endocrine resistance, fluid shear stress, atherosclerosis, TNF signaling pathway, relaxin signaling pathway, neurotrophin signaling pathway, and AGEs-RAGE signaling pathway in diabetic complications were related. Docking of SGLT2 inhibitors with key targets such as GAPDH, MAPK3, MMP9, MAPK1, and NRAS revealed that these compounds bind to proteins spontaneously.

Conclusion

Based on pharmacological networks, this study elucidates the potential mechanisms of action of SGLT2 inhibitors from a systemic and holistic perspective. These key targets and pathways will provide new ideas for future studies on the pharmacological mechanisms of cardiorenal protection by SGLT2 inhibitors.

Sodium-glucose cotransporter-2 inhibitors in heart failure: an updated meta-analysis

Aims

We aimed to examine efficacy and safety outcomes of sodium‐glucose cotransporter‐2 inhibitor (SGLT2i) for the treatment of heart failure (HF), especially in patients with heart failure with preserved ejection fraction (HFpEF).

Methods and results

PubMed, Web of Science, and Cochrane Library were searched to identify randomized controlled trials comparing SGLT2i vs. placebo in HF patients. A total of 10 studies with 23 852 HF patients were eventually included. Compared with placebo, SGLT2i is associated with a lower incidence of composite of first hospitalization for heart failure (HHF) or cardiovascular death (CV death) [hazard ratio (HR) = 0.76 95% confidence interval (CI) = 0.71–0.81], which is consistent regardless of the diabetes status, type of gliflozines used, and follow‐up duration. SGLT2i can reduce the risk of total HHF or CV death (HR = 0.74, 95%CI = 0.68–0.81), first HHF (HR = 0.69, 95%CI = 0.64–0.75), CV death (HR = 0.88, 95%CI = 0.80–0.96), any death (HR = 0.90, 95%CI = 0.83–0.97), and any serious events (HR = 0.90, 95%CI = 0.87–0.93) in HF patients, at the cost of increased risk of urinary tract infections (risk ratio = 1.17, 95%CI = 1.03–1.33). In HFpEF patients, SGLT2i is associated with a significant reduction of composite of first HHF or CV death (HR = 0.81, 95%CI = 0.73–0.91), first HHF (HR = 0.71, 95%CI = 0.62–0.82), and total HHF or CV death (HR = 0.61, 95%CI = 0.43–0.86).

Conclusions

Sodium‐glucose cotransporter‐2 inhibitor contributed to better efficacy outcomes in overall HF patients and showed an inspiring breakthrough in the treatment of HFpEF.

Prognostic Value of the Acute-to-Chronic Glycemic Ratio at Admission in Heart Failure: A Prospective Study

Acute hyperglycemia has been associated with worse prognosis in patients hospitalized for heart failure (HF). Nevertheless, studies evaluating the impact of glycemic control on long-term prognosis have shown conflicting results. Our aim was to assess the relationship between acute-to-chronic (A/C) glycemic ratio and 4-year mortality in a cohort of subjects hospitalized for acute HF. A total of 1062 subjects were consecutively included. We measured glycaemia at admission and estimated average chronic glucose levels and the A/C glycemic ratio were calculated. Subjects were stratified into groups according to the A/C glycemic ratio tertiles. The primary endpoint was 4-year mortality. Subjects with diabetes had higher risk for mortality compared to those without (HR 1.35 [95% CI: 1.10–1.65]; p = 0.004). A U-shape curve association was found between glucose at admission and mortality, with a HR of 1.60 [95% CI: 1.22–2.11]; p = 0.001, and a HR of 1.29 [95% CI: 0.97–1.70]; p = 0.078 for the first and the third tertile, respectively, in subjects with diabetes. Additionally, the A/C glycemic ratio was negatively associated with mortality (HR 0.76 [95% CI: 0.58–0.99]; p = 0.046 and HR 0.68 [95% CI: 0.52–0.89]; p = 0.005 for the second and third tertile, respectively). In multivariable analysis, the A/C glycemic ratio remained an independent predictor. In conclusion, in subjects hospitalized for acute HF, the A/C glycemic ratio is significantly associated with mortality, improving the ability to predict mortality compared with glucose levels at admission or average chronic glucose concentrations, especially in subjects with diabetes.

Medical therapies for prevention of cardiovascular and renal events in patients with atrial fibrillation and diabetes mellitus

Atrial fibrillation (AF), type 2 diabetes mellitus (DM), and chronic kidney disease (CKD) are three global epidemics with significant effects on morbidity and mortality. Diabetes is a risk factor for AF, and a risk factor for thromboembolism, comorbidity, and mortality when AF is present. The pathophysiology of diabetes-related AF and interrelationships with cardiovascular events and renal events is not fully understood but is in part related to structural, electrical, electromechanical, and autonomic remodelling. The current practice guidelines offer limited recommendations on the management of patients with AF (or risk of AF) and diabetes with its own heterogeneity for the prevention of cardiovascular and renal events. This document discusses possible clinical approaches for these patients. In the last decade, there have been major improvements for the prevention of stroke in AF patients with direct oral anticoagulants, which are preferable to vitamin K antagonists for stroke prevention in DM. Because of the increased risk rate for several cardiovascular adverse events in diabetic patients, a similar relative risk reduction generally translates into greater absolute risk reduction in the diabetic population. Recent trials with non-insulin diabetes drugs using glucagon-like peptide-1 agonists and sodium-glucose cotransporter-2 inhibitors showed a significant reduction for the risk of major adverse cardiovascular events in patients with type 2 DM. Sodium-glucose cotransporter-2 inhibitors also showed a large reduction in hospitalization for heart failure and renal events, which need to be more completely evaluated in patients with AF. Mechanisms, risks, and optimal management of AF patients with DM who have or are under risk of developing heart failure or CKD are also discussed in this document. The benefits of medical therapies for these patients still need to be put into perspective, and gaps in evidence on some of these issues are likely to be addressed in future years.

Effects of Metformin in Heart Failure: From Pathophysiological Rationale to Clinical Evidence

Type 2 diabetes mellitus (T2DM) is a worldwide major health burden and heart failure (HF) is the most common cardiovascular (CV) complication in affected patients. Therefore, identifying the best pharmacological approach for glycemic control, which is also useful to prevent and ameliorate the prognosis of HF, represents a crucial issue. Currently, the choice is between the new drugs sodium/glucose co-transporter 2 inhibitors that have consistently shown in large CV outcome trials (CVOTs) to reduce the risk of HF-related outcomes in T2DM, and metformin, an old medicament that might end up relegated to the background while exerting interesting protective effects on multiple organs among which include heart failure. When compared with other antihyperglycemic medications, metformin has been demonstrated to be safe and to lower morbidity and mortality for HF, even if these results are difficult to interpret as they emerged mainly from observational studies. Meta-analyses of randomized controlled clinical trials have not produced positive results on the risk or clinical course of HF and sadly, large CV outcome trials are lacking. The point of force of metformin with respect to new diabetic drugs is the amount of data from experimental investigations that, for more than twenty years, still continues to provide mechanistic explanations of the several favorable actions in heart failure such as, the improvement of the myocardial energy metabolic status by modulation of glucose and lipid metabolism, the attenuation of oxidative stress and inflammation, and the inhibition of myocardial cell apoptosis, leading to reduced cardiac remodeling and preserved left ventricular function. In the hope that specific large-scale trials will be carried out to definitively establish the metformin benefit in terms of HF failure outcomes, we reviewed the literature in this field, summarizing the available evidence from experimental and clinical studies reporting on effects in heart metabolism, function, and structure, and the prominent pathophysiological mechanisms involved.

Pharmacological treatment of type 2 diabetes in elderly patients with heart failure: randomized trials and beyond

Heart failure (HF) and type 2 diabetes mellitus (T2DM) represent two important public health problems, and despite improvements in the management of both diseases, they are responsible for high rates of hospitalizations and mortality. T2DM accelerates physiological cardiac aging through hyperglycemia and hyperinsulinemia. Thus, HF and T2DM are chronic diseases widely represented in elderly people who often are affected by numerous comorbidities with important functional limitations making it difficult to apply the current guidelines. Several antidiabetic drugs should be used with caution in elderly individuals with T2DM. For instance, sulfonylureas should be avoided due to the risk of hypoglycemia associated with its use. Insulin should be used with caution because it is associated with higher risk of hypoglycemia, and may determine fluid retention which can lead to worsening of HF. Thiazolindinediones should be avoided due to the increased risk of fluid retention and HF. Biguanides may lead to a slightly increased risk of lactic acidosis in particular in elderly individuals with impaired renal function. Dipeptidyl peptidase 4 (DPP-4) inhibitors are safe having few side effects, minimal risk of hypoglycemia, and a neutral effect on cardiovascular (CV) outcome, even if it has been reported that saxagliptin treatment is associated with increased risk of hospitalizations for HF (hHF). Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have shown a CV protection without a significant reduction in hHF. On the other hand, sodium-glucose cotransporter 2 (SGLT2) inhibitors have shown a significant improvement in CV outcome, with a strong reduction of hHF and a positive impact on renal damage progression. However, it is necessary to consider the possible some side effects related to their use in elderly individuals including hypotension, bone fractures, and ketoacidosis.It is important to remark that elderly patients, in particular the very elderly, are not sufficiently represented in the trials; thus, the management and treatment of elderly diabetic patients with HF should be mainly based on the integration of scientific evidence with clinical judgment and patients' condition, with respect to the dignity and quality of life.

Combined effects of ARNI and SGLT2 inhibitors in diabetic patients with heart failure with reduced ejection fraction

Angiotensin receptor-neprilysin inhibitor (ARNI) and sodium–glucose co-transporter-2 inhibitor (SGLT2i) have shown benefits in diabetic patients with heart failure with reduced ejection fraction (HFrEF). However, their combined effect has not been revealed. We retrospectively identified diabetic patients with HFrEF who were prescribed an ARNI and/or SGLT2i. The patients were divided into groups treated with both ARNI and SGLT2i (group 1), ARNI but not SGLT2i (group 2), SGLT2i but not ARNI (group 3), and neither ARNI nor SGLT2i (group 4). After propensity score-matching, the occurrence of hospitalization for heart failure (HHF), cardiovascular mortality, and changes in echocardiographic parameters were analyzed. Of the 206 matched patients, 92 (44.7%) had to undergo HHF and 43 (20.9%) died of cardiovascular causes during a median 27.6 months of follow-up. Patients in group 1 exhibited a lower risk of HHF and cardiovascular mortality compared to those in the other groups. Improvements in the left ventricular ejection fraction and E/e′ were more pronounced in group 1 than in groups 2, 3 and 4. These echocardiographic improvements were more prominent after the initiation of ARNI, compare to the initiation of SGLT2i. In diabetic patients with HFrEF, combination of ARNI and SGT2i showed significant improvement in cardiac function and prognosis. ARNI-SGLT2i combination therapy may improve the clinical course of HFrEF in diabetic patients.

Interplay Between Gut Microbiota and Amino Acid Metabolism in Heart Failure

Heart failure (HF) is a complex clinical syndrome of which the incidence is on the rise worldwide. Cardiometabolic disorders are associated with the deterioration of cardiac function and progression of HF. Recently, there has been renewed interest in gut microbiota (GM) and its metabolites in the cardiovascular disease. HF-caused hypoperfusion could increase intestinal permeability, and a “leaky” bowel leads to bacterial translocation and make its metabolites more easily enter the circulation. Considerable evidence shows that the composition of microbiota and amino acids (AAs) has been altered in HF patients, and AAs could serve as a diagnostic and prognostic biomarker in HF. The findings indicate that the gut–amino acid–HF axis may play a key role in the progression of HF. In this paper, we focus on the interrelationship between the AA metabolism and GM alterations during the development of heart failure. We also discuss the potential prognostic and therapeutic value of the gut–amino acid–HF axis in the cortex of HF.

Diabetes and SGLT2-iss inhibitors in patients with heart failure with preserved or mid-range left ventricular ejection fractions

Diabetic patients frequently develop heart failure with preserved (HFpEF) or mid-range (HFmEF) cardiac ejection fractions. This condition may be secondary to diabetic cardiomyopathy or one of several relevant comorbidities, mainly hypertension. Several mechanisms link diabetes to HFpEF or HFmEF. Among these, non-enzymatic glycation of interstitial proteins, lipotoxicity, and endothelial dysfunction may promote structural damage and ultimate lead to heart failure. Findings from several large-scale trials indicated that treatment with sodium/glucose cotransporter 2 inhibitors (SGLT2-iss) resulted in significant improvements in cardiovascular outcomes in diabetic patients with high cardiovascular risk. However, there is currently some evidence that suggests a clinical advantage of using SGLT2-iss specifically in cases of HFpEF or HFmEF. Preclinical and clinical studies revealed that SGLT2-iss treatment results in a reduction in left ventricular mass and improved diastolic function. While some of the beneficial effects of SGLT2-iss have already been characterized (e.g., increased natriuresis and diuresis as well as reduced blood pressure, plasma volume, and arterial stiffness, and nephron-protective activities), there is increasing evidence suggesting that SGLT2-iss may have direct actions on the heart. These findings include SGLT2-iss-mediated reductions in the expression of hypertrophic foetal genes and diastolic myofilaments stiffness, increases in global phosphorylation of myofilament regulatory proteins (in HFpEF), inhibition of cardiac late sodium channel current and Na⁺/H⁺ exchanger activity, metabolic shifts, and effects on calcium cycling. Preliminary data from previously published studies suggest that SGLT2-iss could be useful for the treatment of HFpEF and HFmEF. Several large ongoing trials, including DELIVER AND EMPEROR -preserved have been designed to evalute the efficacy of SGLT2-iss in improving clinical outcomes in patients diagnosed with HFpEF. The goal of this manuscript is to review the use of SGLT2-iss inhibitors for HFpEF or HFmEF associated with diabetes.

SGLT2 inhibitors in heart failure with reduced ejection fraction

Sodium - glucose co-transporter 2 (SGLT2) inhibitors reduce blood glucose by inhibiting reabsorption of glucose from the proximal renal tubules. Initial studies showed that apart from reducing blood glucose they also reduce the combined endpoint of myocardial infarction, stroke, and cardiovascular death, hospitalization from heart failure, and occurrence of renal failure in patients with known cardiovascular disease or at high risk of developing cardiovascular disease. Recent studies have shown that these drugs also could be used in patients to treat heart failure or to slow the progression of renal failure, irrespective of whether the patients have diabetes or not. In this review, we discuss the clinical trial evidence for the use of SGLT2 inhibitors for the treatment of patients with heart failure with reduced ejection fraction and for the prevention of heart failure in patients with diabetes who are at high risk of cardiovascular events. We also discuss the plausible mechanisms of action for the cardiovascular beneficial effects of SGLT2 inhibitors. EMPA-REG OUTCOME TRIAL, DECLARE-TIMI 58, CANVAS, VERTIS-CV studies have shown that SGLT2 inhibitors namely empagliflozin, dapagliflozin, canagliflozin and ertugliflozin reduce the chances of hospitalisation in patients who have cardiovascular disease or at high risk of cardiovascular disease. The DAPA-HF study and the EMPEROR-REDUCED TRIAL have further shown that Dapagliflozin and Empagliflozin could be used to treat patients with heart failure, with or without diabetes. SGLT2 inhibitors provide us with a new armamentarium for treatment of patients with a triad of diabetes, heart or renal disease. Their mechanism of action in prevention or treatment of patients with heart failure however still remains speculative.

Changes over time in the association between type 2 diabetes and post-discharge outcomes in decompensated chronic heart failure patients: Findings from the RICA Registry

AIMS

Heart failure (HF) and diabetes are 2 strongly associated diseases. The main objective of this work was to analyze changes in the prognosis of patients with diabetes who were admitted for heart failure in 2 time periods.

METHODS

This work is a prospective study comparing prognosis at one year of follow-up among patients with diabetes who were hospitalized for HF in either 2008-2011 or 2018. The patients are from the Spanish Society of Internal Medicine's National Heart Failure Registry (RICA, for its initials in Spanish). The primary endpoint was to analyze the composite outcome of total mortality and/or readmission due to HF in 12 months. A multivariate Cox regression model was used to evaluate the strength of association (hazard ratio [HR]) between diabetes and the outcomes between both periods.

RESULTS

A total of 936 patients were included in the 2018 cohort, of which 446 (48%) had diabetes. The baseline characteristics of the populations from the 2 periods were similar. In patients with diabetes, the composite outcome was observed in 233 (47.5%) in the 2008-2011 cohort and 162 (36%) in the 2018 cohort [HR 1.48; 95% confidence interval (95%CI) 1.18-1.85; p < .001]. The proportion of readmissions (HR 1.39; 95%CI 1.07-1.80; p = .015) and total mortality (HR 1.60; 95%CI 1.20-2.14; p < .001) were also significantly higher in patients with diabetes from the 2008-2011 cohort compared to the 2018 cohort.

CONCLUSIONS

In 2018, an improvement was observed in the prognosis for all-cause mortality and readmissions over one year of follow-up in patients with diabetes hospitalized for HF compared to the 2008-2011 period.

Diabetes and heart failure notions from epidemiology including patterns in low-, middle- and high-income countries

About 463 million people are currently living with diabetes and 64 million with heart failure and in addition, substantial proportions of both diseases are undiagnosed. At ages above 65 years prevalence of diabetes is estimated to be around 19% and heart failure at least 10%. In the western world, incidence of both diabetes and heart failure are slightly decreasing while prevalent cases are increasing in high as well as middle and low-income countries due to a general increased longevity and successful prevention and treatment of cardiac disease and of diabetes complications. Therefore, we will see an increase of epidemic proportions of both diabetes and heart failure if novel preventive strategies are not appropriately introduced. Type 1 and type 2 diabetes are both major contributors to the development of heart failure and the combination of diabetes and heart failure severely affects prognosis. In addition, the changing faces of diabetes complications have resulted in heart failure more often being the first manifestation of cardiac complications. An updated scenario on diabetes and heart failure epidemiology to health care providers is important in order to direct resources towards effective preventive strategies.

A Review of the Role of Type 2 Diabetes and SGLT2 Inhibitors in Heart Failure with Preserved Ejection Fraction

Previous research has demonstrated that patients with Type 2 Diabetes (T2DM) are at an increased risk for cardiovascular events, including heart failure. Moreover, there's a higher risk of mortality in individuals who have both T2DM and heart failure with preserved ejection fraction (HFpEF). Although there are antidiabetic agents that have shown both cardiovascular safety and improved cardiovascular outcomes, only certain agents have been associated with heart failure benefits, such as sodium-glucose cotransporter-2 (SGLT2) inhibitors. This study aims to review the pathophysiology of HFpEF in the setting of T2DM, and more specifically the role of SGLT2 inhibitors in HFpEF outcomes.

Concurrent diabetes and heart failure: interplay and novel therapeutic approaches

Diabetes mellitus increases the risk of developing heart failure, and the co-existence of both diseases worsens cardiovascular outcomes, hospitalization and the progression of heart failure. Despite current advancements on therapeutic strategies to manage hyperglycemia, the likelihood of developing diabetes-induced heart failure is still significant, especially with the accelerating global prevalence of diabetes and an ageing population. This raises the likelihood of other contributing mechanisms beyond hyperglycemia in predisposing diabetic patients to cardiovascular disease risk. There has been considerable interest in understanding the alterations in cardiac structure and function in the diabetic patients, collectively termed as "diabetic cardiomyopathy". However, the factors that contribute to the development of diabetic cardiomyopathies is not fully understood. This review summarizes the main characteristics of diabetic cardiomyopathies, and the basic mechanisms that contribute to its occurrence. This includes perturbations in insulin resistance, fuel preference, reactive oxygen species generation, inflammation, cell death pathways, neurohormonal mechanisms, advanced glycated end-products accumulation, lipotoxicity, glucotoxicity, and posttranslational modifications in the heart of the diabetic. This review also discusses the impact of antihyperglycemic therapies on the development of heart failure, as well as how current heart failure therapies influence glycemic control in diabetic patients. We also highlight the current knowledge gaps in understanding how diabetes induces heart failure.

The course of patients with Chagas heart disease during episodes of decompensated heart failure

AIMS

This study aimed to analyse the clinical presentation and prognosis of patients with Chagas cardiomyopathy and decompensated heart failure (HF), as compared with other aetiologies.

METHODS AND RESULTS

A prospective cohort of patients admitted with decompensated HF. We included 767 patients (63.9% male), with median age of 58 years [interquartile range 48.2-66.7 years]. Main aetiologies were non-Chagas/non-ischaemic cardiomyopathies in 389 (50.7%) patients, ischaemic disease in 209 (27.2%), and Chagas disease in 169 (22%). Median left ventricular ejection fraction was 26% (interquartile range 22-35%). Patients with Chagas differed from both patients with non-Chagas/non-ischaemic and ischaemic cardiomyopathies for a higher proportion of cardiogenic shock at admission (17.8%, 11.6%, and 11%, respectively, P < 0.001) and had lower blood pressure at admission (systolic blood pressure 90 [80-102.5], 100 [85-110], and 100 [88.2-120] mmHg, P < 0.001) and lower heart rate (heart rate 71 [60-80], 87 [70-102], and 79 [64-96.5] b.p.m., P < 0.001). Further, patients with Chagas had higher serum BNP level (1544 [734-3148], 1061 [465-239], and 927 [369-1455] pg/mL, P < 0.001), higher serum bilirubin (1.4 [0.922.44], 1.2 [0.77-2.19], and 0.84 [0.49-1.45] mg/dL, P < 0.001), larger left ventricular diameter (68 [63-73], 67 [58-74], and 62 [56.8-68.3] mm, respectively, P < 0.001), lower left ventricular ejection fraction (25 [21-30]%, 26 [22-35]%, and 30 [25-38]%, P < 0.001), and a higher proportion of patients with right ventricular function (48.8%, 40.7%, and 25.9%, P < 0.001). Patients with Chagas disease were more likely to receive inotropes than patients with non-Chagas/non-ischaemic and ischaemic cardiomyopathies (77.5%, 67.5%, and 62.5%, respectively, P = 0.007) and also to receive intra-aortic balloon pumping (30.8%, 16.2%, and 10.5%, P < 0.001). Overall, the rates of death or urgent transplant were higher among patients with Chagas than in other aetiologies, a difference that was driven mostly due to increased rate of heart transplant during hospital admission (20.2%, 10.3%, and 8.1%). The prognosis of patients at 180 days after hospital admission was worse for patients with Chagas disease as compared with other aetiologies. In patients with Chagas, age [odds ratio (OR) = 0.934, confidence interval (CI)_95% 0.901-0.982, P = 0.005], right ventricular dysfunction by echocardiography (OR = 2.68, CI_95% 1.055-6.81, P = 0.016), and urea (OR = 1.009, CI_95% 1.001-1.018, P = 0.038) were significantly associated with prognosis.

CONCLUSIONS

Patients with Chagas cardiomyopathy and decompensated HF have a distinct clinical presentation and worse prognosis compared with other aetiologies.