Albuminuria and Heart Failure: JACC State-of-the-Art Review

Adverse events associated with early initiation of Eplerenone in patients hospitalized for acute heart failure

BACKGROUND

The guidelines recommend the initiation or up-titration of heart failure (HF) treatments following an HF hospitalization; however, concerns about adverse events may limit the use of mineralocorticoid receptor antagonists (MRAs). Patient profiles or disease severity might impact adverse events associated with MRA therapy in acute HF.

METHODS

The EARLIER trial included patients with acute HF who were randomized to eplerenone or placebo over 6 months. Adverse events (i.e., worsening renal function [WRF], hyperkalemia, hypotension, and volume depletion/dehydration) were assessed. HF-related outcome included a composite of all-cause mortality, HF re-hospitalization, investigator-reported worsening HF and out-of-hospital diuretic intensification.

RESULTS

In 297 patients (mean age: 67 ± 13 years; 73% males), adverse events were observed: 44.4% experienced WRF (>20% drop in estimated glomerular filtration rate[eGFR] and/or investigator-reported WRF), 8.4% had hyperkalemia (potassium >5.5 mmol/L and/or investigator-reported hyperkalemia), 27.9% experienced hypotension (systolic blood pressure[SBP] <90 mmHg and/or investigator-reported hypotension), and 16.8% had investigator-reported volume depletion/dehydration. Eplerenone vs. placebo did not elevate the incidence of these events (all-p-values>0.0 5). Multivariable analyses revealed that, irrespective of treatment allocation, older age (>7 5 years), prevalent diabetes, symptomatic congestion, and microalbuminuria were associated with increased risk of WRF. Baseline eGFR<60 ml/min/1.73m2 and SBP < 90 mmHg predicted hyperkalemia and hypotension, respectively, while older patients were more likely to experience volume depletion/dehydration. However, these patient profiles did not alter the benefit of eplerenone on outcomes (HR [9 5%CI] = 0.53 [0.29 to 0.97], P = 0.04; all-p-for-interaction>0.10).

CONCLUSION

Eplerenone did not increase adverse events compared with placebo in acute HF. Importantly, disease severity and comorbidity burden greatly influence adverse events, but not benefit from eplerenone.

Mineralocorticoid receptor antagonists and reno-protection: What's the evidence & where do they fit? A guide for non-specialists

The role of aldosterone has yet to be well appreciated in chronic kidney disease (CKD). Two variables define CKD: an estimated glomerular filtration rate of <60 ml/min/1.73 m2 and a spot urine albumin-creatinine ratio of >30 mg/g. Both are needed for an accurate diagnosis. The presence of CKD at this level is associated with an elevated risk of cardiovascular death and a greater risk of CKD progression to kidney failure and subsequent dialysis. This paper presents an overview of aldosterone's importance in CKD and its contribution to the inflammatory processes involved in CKD development. Data on outcomes, both surrogate and hard, related to outcomes on CKD progression will also be discussed in the context of mineralocorticoid blockade. Based on recent epidemiological data as well as data examining markers of diabetic kidney disease progression, it is clear that use of both renin-angiotensin system inhibitors and aldosterone receptor antagonists have a significant role in altering the natural history of kidney disease progression itself, as well as reducing the risk of cardiovascular events that generally accompany long-standing kidney disease. This paper will discuss these issues and the management of consequent hyperkalaemia when both steroidal and non-steroidal mineralocorticoid receptor antagonists are used in detail.

Cardiovascular and non-renal complications of chronic kidney disease: Managing risk

Chronic kidney disease (CKD) currently affects approximately 850 million people globally and is continuing to increase in prevalence as well as in importance as a cause of death. The excess mortality related to CKD is mostly caused by an increase in cardiovascular disease. This includes atherosclerotic cardiovascular disease as many promoters of atherosclerosis, such as blood pressure, lipid levels and hypercoagulation, are increased in people with CKD. Diabetes is a leading cause of CKD contributing to the risk of CVD, and obesity is also increasingly prevalent. Management of these risk factors is therefore very important in CKD, and to reduce risk of CKD progression. Heart failure is also more prevalent in CKD and, again, many risk factors are shared. The concept of foundational pillars in the management of heart failure has been adapted to the treatment of CKD, with many organ-protective interventions, such renin-angiotensin system blockade, sodium-glucose cotransporter-2 inhibition and mineralocorticoid receptor antagonism, reducing the risk for mortality in heart failure with reduced ejection fraction, but also for progression of CKD. Atrial fibrillation is also more common with CKD and affects the management of the former. In this review these non-renal complications of CKD are discussed, along with how the risk of these complications should be managed. Many new opportunities have demonstrated heart and kidney organ protection, but implementation is a challenge.

Effect of ertugliflozin on left ventricular function in type 2 diabetes and pre-heart failure: the Ertu-GLS randomized clinical trial

BACKGROUND

The therapeutic effects of ertugliflozin, a sodium-glucose cotransporter 2 inhibitor, on cardiovascular outcome are not fully understood. This study aimed to evaluate the efficacy and safety of ertugliflozin on cardiac function in people with type 2 diabetes and pre-heart failure.

METHODS

We conducted a 24-week randomized, double-blind, placebo-controlled trial involving individuals with type 2 diabetes inadequately controlled with antidiabetic medications. Participants with left ventricular hypertrophy, E/e' >15, or impaired left ventricular global longitudinal strain (LVGLS) were randomized 1:1 to receive either ertugliflozin (5 mg once daily) or a placebo. The primary outcome was the change in LVGLS. Secondary outcomes included changes in left ventricular mass index (LVMI) and left ventricular ejection fraction (LVEF). Prespecified exploratory outcomes, including angiotensin-converting enzyme 2 (ACE2) and angiotensin (1-7) levels, were also assessed.

RESULTS

A total of 102 individuals (mean age, 63.9 ± 9.2 years; 38% women) were included. The ertugliflozin group showed a significant improvement in LVGLS (- 15.5 ± 3.1% to - 16.6 ± 2.8%, P = 0.004) compared to the placebo group (- 16.7 ± 2.7% to - 16.4 ± 2.6%, P = 0.509), with a significant between-group difference (P = 0.013). Improvements in LVMI and LVEF were also observed. Additionally, significant reductions in HbA1c, systolic blood pressure, whole-body and visceral fat, uric acid, proteinuria, N-terminal pro-B-type natriuretic peptide, and lipoprotein(a) were noted. ACE2 and angiotensin (1-7) levels significantly increased in the ertugliflozin group compared to the placebo group and correlated with changes in LVGLS [r = 0.456, P < 0.001 for ACE2; r = 0.541, P < 0.001 for angiotensin (1-7)]. Adverse events were similar between the two groups.

CONCLUSIONS

This study demonstrated that ertugliflozin has beneficial effects on left ventricular function in individuals with type 2 diabetes and pre-heart failure, and it provided insights into potential underlying mechanisms.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03717194.

Evaluation and Management of Kidney Dysfunction in Advanced Heart Failure: A Scientific Statement From the American Heart Association

Early identification of kidney dysfunction in patients with advanced heart failure is crucial for timely interventions. In addition to elevations in serum creatinine, kidney dysfunction encompasses inadequate maintenance of sodium and volume homeostasis, retention of uremic solutes, and disrupted endocrine functions. Hemodynamic derangements and maladaptive neurohormonal upregulations contribute to fluctuations in kidney indices and electrolytes that may recover with guideline-directed medical therapy. Quantifying the extent of underlying irreversible intrinsic kidney disease is crucial in predicting whether optimization of congestion and guideline-directed medical therapy can stabilize kidney function. This scientific statement focuses on clinical management of patients experiencing kidney dysfunction through the trajectory of advanced heart failure, with specific focus on (1) the conceptual framework for appropriate evaluation of kidney dysfunction within the context of clinical trajectories in advanced heart failure, including in the consideration of advanced heart failure therapies; (2) preoperative, perioperative, and postoperative approaches to evaluation and management of kidney disease for advanced surgical therapies (durable left ventricular assist device/heart transplantation) and kidney replacement therapies; and (3) the key concepts in palliative care and decision-making processes unique to individuals with concomitant advanced heart failure and kidney disease.

Advancements in Incident Heart Failure Risk Prediction and Screening Tools

Heart failure (HF) is a major cause of mortality and morbidity in the United States that carries substantial healthcare costs. Multiple risk prediction models and strategies have been developed over the past 30 years with the aim of identifying those at high risk of developing HF and of implementing preventive therapies effectively. This review highlights recent developments in HF risk prediction tools including emerging risk factors, innovative risk prediction models, and novel screening strategies from artificial intelligence to biomarkers. These developments allow more accurate prediction, but their impact on clinical outcomes remains to be investigated. Implementation of these risk models in clinical practice is a considerable challenge, but HF risk prediction tools offer a promising opportunity to improve outcomes while maintaining value.

Heart Failure Risk Prediction in a Population With a High Burden of Diabetes: Evidence From the Strong Heart Study

BACKGROUND

Despite the high burden of diabetes and cardiovascular risk factors in American Indian communities in the United States, prospective studies of heart failure (HF) in this population group are scarce, and the generalizability of previous HF risk scales may be limited. We developed a parsimonious HF risk prediction equation that accounts for relevant risk factors affecting American Indian communities, focusing on diabetes and kidney damage.

METHODS AND RESULTS

A total of 3059 participants from the SHS (Strong Heart Study) (56±8 years of age, 58% women) were included. Five hundred seven developed HF. Progressively adjusted Cox proportional hazards models were used to identify risk factors for HF and HF subtypes. Predictors of risk at 5 and 10 years included older age (hazard ratio [HR], 1.79 [95% CI, 1.43-2.25]; HR, 1.68 [95% CI, 1.44-1.95]), smoking (HR, 2.26 [95% CI, 1.23-4.13]; HR, 2.08 [95% CI, 1.41-3.06]), macroalbuminuria (HR, 8.38 [95% CI, 4.44-15.83]; HR, 5.20 [95% CI, 3.42-7.9]), microalbuminuria (HR, 2.72 [95% CI, 1.51-4.90]; HR, 1.92 [95% CI, 1.33, 2.78]), and previous myocardial infarction (HR, 6.58 [95% CI, 2.54-17.03]; HR, 3.87 [95% CI, 2.29-6.54]), respectively. These predictors, together with diabetes diagnosis and glycated hemoglobin were significant at 10 and 28 years. High discrimination performance was achieved (C index, 0.81 [95% CI, 0.76-0.84]; C index, 0.78 [95% CI, 0.75-0.81]; and C index, 0.77 [95% CI, 0.74-0.78] at 5, 10, and up to 28 years of follow up, respectively). Some associations varied across HF subtypes, although diabetes, albuminuria, and previous myocardial infarction were associated with all subtypes.

CONCLUSIONS

This prospective study of HF risk factors in American Indian communities identifies that smoking, body mass index, and indicators of diabetes control and kidney damage (glycated hemoglobin and albuminuria) are major determinants of HF. Our findings can improve HF risk assessment in populations with a high burden of diabetes.

Practicalities and importance of assessing urine albumin excretion in type 2 diabetes: A cutting-edge update

Type 2 diabetes (T2D) is associated with increased risk for chronic kidney disease (CKD). It is estimated that 40 % of people with diabetes have CKD, which consequently leads to increase in morbidity and mortality from cardiovascular diseases (CVDs). Diabetic kidney disease (DKD) is leading cause of CKD and end-stage renal disease (ESRD) globally. On the other hand, DKD is independent risk factor for CVDs, stroke and overall mortality. According to the guidelines, using spot urine sample and assessing urine albumin-to-creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR) are both mandatory methods for screening of CKD in T2D at diagnosis and at least annually thereafter. Diagnosis of CKD is confirmed by persistent albuminuria followed by a progressive decline in eGFR in two urine samples at an interval of 3 to 6 months. However, many patients with T2D remain underdiagnosed and undertreated, so there is an urgent need to improve the screening by detection of albuminuria at all levels of health care. This review discusses the importance of albuminuria as a marker of CKD and cardiorenal risk and provides insights into the practical aspects of methods for determination of albuminuria in routine clinical care of patients with T2D.

Biomarkers in Heart Failure with Preserved Ejection Fraction: A Perpetually Evolving Frontier

Heart failure with preserved ejection fraction (HFpEF) represents a complex clinical syndrome, often very difficult to diagnose using the available tools. As the global burden of this disease is constantly growing, surpassing the prevalence of heart failure with reduced ejection fraction, during the last few years, efforts have focused on optimizing the diagnostic and prognostic pathways using an immense panel of circulating biomarkers. After the paradigm of HFpEF development emerged more than 10 years ago, suggesting the impact of multiple comorbidities on myocardial structure and function, several phenotypes of HFpEF have been characterized, with an attempt to find an ideal biomarker for each distinct pathophysiological pathway. Acknowledging the limitations of natriuretic peptides, hundreds of potential biomarkers have been evaluated, some of them demonstrating encouraging results. Among these, soluble suppression of tumorigenesis-2 reflecting myocardial remodeling, growth differentiation factor 15 as a marker of inflammation and albuminuria as a result of kidney dysfunction or, more recently, several circulating microRNAs have proved their incremental value. As the number of emerging biomarkers in HFpEF is rapidly expanding, in this review, we aim to explore the most promising available biomarkers linked to key pathophysiological mechanisms in HFpEF, outlining their utility for diagnosis, risk stratification and population screening, as well as their limitations.

Contemporary pharmacological treatment and management of heart failure

The prevention and treatment strategies for heart failure (HF) have evolved in the past two decades. The stages of HF have been redefined, with recognition of the pre-HF state, which encompasses asymptomatic patients who have developed either structural or functional cardiac abnormalities or have elevated plasma levels of natriuretic peptides or cardiac troponin. The first-line treatment of patients with HF with reduced ejection fraction includes foundational therapies with angiotensin receptor-neprilysin inhibitors, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, β-blockers, mineralocorticoid receptor antagonists, sodium-glucose cotransporter 2 (SGLT2) inhibitors and diuretics. The first-line treatment of patients with HF with mildly reduced ejection fraction or with HF with preserved ejection fraction includes SGLT2 inhibitors and diuretics. The timely initiation of these disease-modifying therapies and the optimization of treatment are crucial in all patients with HF. Reassessment after initiation of these therapies is recommended to evaluate patient symptoms, health status and left ventricular function, and timely referral to a HF specialist is necessary if a patient has persistent advanced HF symptoms or worsening HF. Lifestyle modification and treatment of comorbidities such as diabetes mellitus, ischaemic heart disease and atrial fibrillation are crucial through each stage of HF. This Review provides an overview of the management strategies for HF according to disease stages that are derived from the recommendations in the latest US and European HF guidelines.

Care of Adults with Advanced Chronic Kidney Disease

Chronic kidney disease (CKD) impacts over 10% of the global population. Adults with CKD face significant morbidity and mortality. As kidney disease progresses, the risk of adverse outcomes increases. Here, we present an overview of strategies to care for adults with advanced CKD (stage 4-5 CKD, not receiving kidney replacement therapy). We aim to guide clinicians through several aspects of CKD care, ranging from recommended laboratory assessments to interdisciplinary support for patients as they plan for kidney replacement therapy (dialysis, transplantation, or conservative management). We incorporate considerations of health equity and person-centered care, empowering clinicians to deliver high-quality care to people with CKD.

Hypoalbuminaemia and heart failure: A practical review of current evidence

Hypoalbuminaemia (serum albumin levels ≤3.5 g/dl) is associated with poor outcomes among patients with heart failure (HF). This narrative review includes original articles and reviews published over the past 20 years and retrieved from PubMed using the following search terms (or their combination): 'heart failure', 'hypoalbuminaemia', 'heart failure with reduced ejection fraction', 'heart failure with preserved ejection fraction', 'all-cause mortality', 'in-hospital mortality', 'hospitalization', 'prognosis'. The aims of this review are to provide an overview on the prevalence of hypoalbuminaemia in HF, its impact on clinical outcomes, and potential mechanisms that may suggest future therapeutic strategies. Hypoalbuminaemia is frequent in HF patients, especially among the elderly. However, data about the exact epidemiology of hypoalbuminaemia are scant due to different definitions, and prevalence is estimated between 5% and 70% across the whole spectrum of ejection fraction. Current evidence points to hypoalbuminaemia as a marker of poor outcomes in HF, irrespective of the ejection fraction, and in other cardiovascular diseases. Among patients who suffered from acute coronary syndrome, those with hypoalbuminaemia had an increased risk of new-onset HF and in-hospital mortality. Albumin, however, might also play a role in the natural history of such diseases due to its antioxidant, anti-inflammatory, and antithrombotic properties. Whether albumin supplementation or nutritional support in general would be beneficial in improving clinical outcomes in HF is not completely clear and should be evaluated in adequately designed studies.

Targeting lymphatic function in cardiovascular-kidney-metabolic syndrome: preclinical methods to analyze lymphatic function and therapeutic opportunities

The lymphatic vascular system spans nearly every organ in the body and serves as an important network that maintains fluid, metabolite, and immune cell homeostasis. Recently, there has been a growing interest in the role of lymphatic biology in chronic disorders outside the realm of lymphatic abnormalities, lymphedema, or oncology, such as cardiovascular-kidney-metabolic syndrome (CKM). We propose that enhancing lymphatic function pharmacologically may be a novel and effective way to improve quality of life in patients with CKM syndrome by engaging multiple pathologies at once throughout the body. Several promising therapeutic targets that enhance lymphatic function have already been reported and may have clinical benefit. However, much remains unclear of the discreet ways the lymphatic vasculature interacts with CKM pathogenesis, and translation of these therapeutic targets to clinical development is challenging. Thus, the field must improve characterization of lymphatic function in preclinical mouse models of CKM syndrome to better understand molecular mechanisms of disease and uncover effective therapies.

Effects of Sacubitril/Valsartan Across the Spectrum of Renal Impairment in Patients With Heart Failure

BACKGROUND

The Kidney Disease Improving Global Outcomes (KDIGO) classification integrates both estimated glomerular filtration rate and urine-albumin-creatinine ratio to stratify risk more comprehensively in patients with chronic kidney disease. There are limited data assessing whether this classification system is associated with prognosis and treatment response in heart failure populations.

OBJECTIVES

The aim of this study was to evaluate the relative treatment effects of sacubitril/valsartan across the KDIGO risk categories in patients with HFrEF.

METHODS

PARADIGM-HF (Prospective Comparison of ARNI with ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure) was a global randomized controlled trial evaluating sacubitril/valsartan vs enalapril in patients with heart failure with reduced ejection fraction (HFrEF). Patients were classified according to low, moderate, and high/very high KDIGO risk. Treatment responses were assessed according to baseline KDIGO risk. The primary outcome was a composite of cardiovascular (CV) death or heart failure hospitalization. A renal composite outcome was defined as sustained decline in estimated glomerular filtration rate by ≥40% or end-stage kidney disease.

RESULTS

Among 1,910 (23% of total) participants with available data, 42%, 32%, and 26% were classified as low, moderate, and high/very high KDIGO risk, respectively. Patients in the highest KDIGO risk categories experienced the highest rates of the primary composite outcome (7.6 per 100 person-years [95% CI: 6.5-9.0 per 100 person-years], 9.4 per 100 person-years [95% CI: 7.9-11.2 per 100 person-years], and 14.9 per 100 person-years [95% CI: 12.7-17.6 per 100 person-years]; P < 0.001). Sacubitril/valsartan had a similar safety profile and demonstrated consistent effects on the risk of both the primary outcome (PInteraction = 0.31) and the renal composite outcome (PInteraction = 0.50) across the spectrum of KDIGO risk.

CONCLUSIONS

One in 4 patients with HFrEF were classified as at least high KDIGO kidney risk; these individuals faced concordantly the highest risks of CV events. Sacubitril/valsartan exhibited consistent CV and kidney protective benefits as well as safety across the spectrum of baseline kidney risk. These data further support initiation of sacubitril/valsartan in HFrEF across a broad range of kidney risk. (This Study Will Evaluate the Efficacy and Safety of LCZ696 Compared to Enalapril on Morbidity and Mortality of Patients With Chronic Heart Failure [PARADIGM-HF]; NCT01035255).

The impact of urinary albumin-creatinine ratio and glomerular filtration rate on long-term mortality in patients with heart failure: The National Health and Nutrition Examination Survey 1999-2018

BACKGROUND AND AIMS

The urinary albumin‒creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR) are important markers of renal dysfunction, but few studies have simultaneously examined their impact on long-term mortality in patients with heart failure (HF).

METHODS AND RESULTS

This study included patients with HF from the National Health and Nutrition Survey from 1999 to 2018. The fully adjusted Cox proportional risk model was adopted, and propensity score matching (PSM) was also used for risk adjustment. Among 988 patients, a median follow-up of 7.75 years was recorded. A higher UACR corresponded to a higher risk of cardiovascular death (P < 0.001 for trend). No statistically significant difference was found in the trend of eGFR risk stratification on the risk of cardiovascular death (P = 0.09 for trend). After PSM, the results showed that when grouped by UACR, the high-risk group had a higher risk of cardiovascular death regardless of a cutoff value of 30 or 300 mg/g (all P < 0.05). When grouped by eGFR, regardless of a cutoff value of 45 or 30 mL/min/1.73 m2, compared to the low-risk group, the high-risk group did not have a statistically significant increase in cardiovascular death (P = 0.086 and P = 0.093, respectively). The subgroup analysis of the main outcome showed an interaction between the UACR and eGFR (P = 0.044).

CONCLUSIONS

Both the UACR and eGFR are markers for predicting the progression of HF, but the UACR may be a more important indicator than the eGFR, and they synergistically and complementarily reflect the long-term cardiovascular risk of HF patients.

Congestion as a crucial factor determining albuminuria in patients with cardiorenal disease

Background

Albuminuria could potentially emerge as a novel marker of congestion in acute heart failure. However, the current evidence linking albuminuria and congestion in patients with congestive heart failure (CHF) remains somewhat scarce. This study aimed to evaluate the prevalence of albuminuria in a cohort of patients with CHF, identify the independent factors associated with albuminuria and analyse the correlation with different congestion parameters.

Methods

This is a subanalysis of the Spanish Cardiorenal Registry, in which we enrolled 864 outpatients with heart failure and a value of urinary albumin:creatinine ratio (UACR) at the first visit.

Results

The median age was 74 years, 549 (63.5%) were male and 438 (50.7%) had a reduced left ventricular ejection fraction. A total of 350 patients (40.5%) had albuminuria. Among these patients, 386 (33.1%) had a UACR of 30-300 mg/g and 64 (7.4%) had a UACR >300 mg/g. In order of importance, the independent variables associated with higher UACR were estimated glomerular filtration rate determined by the Chronic Kidney Disease Epidemiology Collaboration equation (R2 = 57.6%), systolic blood pressure (R2 = 21.1%), previous furosemide equivalent dose (FED; R2 = 7.5%), antigen carbohydrate 125 (CA125; R2 = 6.1%), diabetes mellitus (R2 = 5.6%) and oedema (R2 = 1.9%). The combined influence of oedema, elevated CA125 levels and the FED accounted for 15.5% of the model's variability.

Conclusions

In patients with chronic stable heart failure, the prevalence of albuminuria is high. The risk factors of albuminuria in this population are chronic kidney disease and hypertension. Congestion parameters are also associated with increased albuminuria.

Association between grip strength and albuminuria in the general United States population: NHANES 2011-2014

Background

Grip strength has been shown to be associated with chronic renal insufficiency, but the relationship between grip strength and albuminuria has not been confirmed. In this study, we used NHANES data to explore the association between grip strength and albuminuria in a US population.

Methods

In this analytical study, we utilized data sourced from the National Health and Nutrition Examination Survey (NHANES), specifically spanning the years 2011 to 2014. The dataset included 9,638 participants aged 20 years or older. After adjusting for potential confounders, multiple regression models were developed to infer the interrelationship between grip strength and albumin to creatinine ratio (ACR), and subgroup analyses were conducted.

Results

After adjusting for all covariates, ACR by 0.49 mg/g [-0.49 (95% CI: -0.93, -0.04)] for each 1 kg increase in grip strength decreased. Subgroup analysis showed that gender, age, hyperlipidemia, hypertension, diabetes mellitus, smoking, alcohol consumption and body mass index did not influence the negative correlation between grip strength and albuminuria.

Conclusion

There is a negative correlation between grip strength and albuminuria in the general U.S. population.

Development and Validation of the American Heart Association's PREVENT Equations

BACKGROUND

Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we developed and validated the American Heart Association Predicting Risk of CVD EVENTs (PREVENT) equations among US adults 30 to 79 years of age without known CVD.

METHODS

The derivation sample included individual-level participant data from 25 data sets (N=3 281 919) between 1992 and 2017. The primary outcome was CVD (atherosclerotic CVD and heart failure). Predictors included traditional risk factors (smoking status, systolic blood pressure, cholesterol, antihypertensive or statin use, and diabetes) and estimated glomerular filtration rate. Models were sex-specific, race-free, developed on the age scale, and adjusted for competing risk of non-CVD death. Analyses were conducted in each data set and meta-analyzed. Discrimination was assessed using the Harrell C-statistic. Calibration was calculated as the slope of the observed versus predicted risk by decile. Additional equations to predict each CVD subtype (atherosclerotic CVD and heart failure) and include optional predictors (urine albumin-to-creatinine ratio and hemoglobin A1c), and social deprivation index were also developed. External validation was performed in 3 330 085 participants from 21 additional data sets.

RESULTS

Among 6 612 004 adults included, mean±SD age was 53±12 years, and 56% were women. Over a mean±SD follow-up of 4.8±3.1 years, there were 211 515 incident total CVD events. The median C-statistics in external validation for CVD were 0.794 (interquartile interval, 0.763-0.809) in female and 0.757 (0.727-0.778) in male participants. The calibration slopes were 1.03 (interquartile interval, 0.81-1.16) and 0.94 (0.81-1.13) among female and male participants, respectively. Similar estimates for discrimination and calibration were observed for atherosclerotic CVD- and heart failure-specific models. The improvement in discrimination was small but statistically significant when urine albumin-to-creatinine ratio, hemoglobin A1c, and social deprivation index were added together to the base model to total CVD (ΔC-statistic [interquartile interval] 0.004 [0.004-0.005] and 0.005 [0.004-0.007] among female and male participants, respectively). Calibration improved significantly when the urine albumin-to-creatinine ratio was added to the base model among those with marked albuminuria (>300 mg/g; 1.05 [0.84-1.20] versus 1.39 [1.14-1.65]; P=0.01).

CONCLUSIONS

PREVENT equations accurately and precisely predicted risk for incident CVD and CVD subtypes in a large, diverse, and contemporary sample of US adults by using routinely available clinical variables.

Albuminuria, Forgotten No More: Underlining the Emerging Role in CardioRenal Crosstalk

Kidneys have an amazing ability to adapt to adverse situations, both acute and chronic. In the presence of injury, the kidney is able to activate mechanisms such as autoregulation or glomerular hyperfiltration to maintain the glomerular filtration rate (GFR). While these adaptive mechanisms can occur in physiological situations such as pregnancy or high protein intake, they can also occur as an early manifestation of diseases such as diabetes mellitus or as an adaptive response to nephron loss. Although over-activation of these mechanisms can lead to intraglomerular hypertension and albuminuria, other associated mechanisms related to the activation of inflammasome pathways, including endothelial and tubular damage, and the hemodynamic effects of increased activity of the renin-angiotensin-aldosterone system, among others, are recognized pathways for the development of albuminuria. While the role of albuminuria in the progression of chronic kidney disease (CKD) is well known, there is increasing evidence of its negative association with cardiovascular events. For example, the presence of albuminuria is associated with an increased likelihood of developing heart failure (HF), even in patients with normal GFR, and the role of albuminuria in atherosclerosis has recently been described. Albuminuria is associated with adverse outcomes such as mortality and HF hospitalization. On the other hand, it is increasingly known that the systemic effects of congestion are mainly preceded by increased central venous pressure and transmitted retrogradely to organs such as the liver or kidney. With regard to the latter, a new entity called congestive nephropathy is emerging, in which increased renal venous pressure can lead to albuminuria. Fortunately, the presence of albuminuria is modifiable and new treatments are now available to reverse this common risk factor in the cardiorenal interaction.

Albuminuria in transthyretin cardiac amyloidosis: Prevalence, progression and prognostic importance

AIMS

Transthyretin cardiac amyloidosis (ATTR-CA) is an infiltrative cardiomyopathy that commonly presents with concomitant chronic kidney disease. Albuminuria is common in heart failure and associated with worse outcomes, but its prevalence and relationship to outcome in ATTR-CA remains unclear.

METHODS AND RESULTS

A total of 1181 patients with ATTR-CA were studied (mean age 78.1 ± 7.9 years; 1022 [86.5%] male; median estimated glomerular filtration rate 59 ml/min/1.73m2 [interquartile range: 47-74]). Albuminuria was present in 563 (47.7%) patients (499 [88.6%] with microalbuminuria and 64 [11.4%] with macroalbuminuria). Patients with albuminuria had a more severe cardiac phenotype evidenced by higher serum cardiac biomarkers (median N-terminal pro-B-type natriuretic peptide [NT-proBNP]: 4027 ng/L [2173-6889] vs. 1851 ng/L [997-3209], p < 0.001; median troponin T: 69 ng/L [46-101] vs. 48 ng/L [34-68], p < 0.001) and worse echocardiographic indices of systolic (longitudinal strain: -10.0 ± 3.6% vs. -11.6 ± 3.8%, p < 0.001) and diastolic function (E/e': 17.5 ± 6.4 vs. 16.4 ± 6.7, p < 0.001) than those with a normal urinary albumin to creatinine ratio (UACR). Microalbuminuria and macroalbuminuria were independently associated with mortality in the overall population (hazard ratio [HR] 1.47, 95% confidence interval [CI] 1.13-1.92, p = 0.005 and HR 1.87, 95% CI 1.15-3.05, p = 0.012, respectively). In a subgroup of patients (n = 349) without concomitant hypertension, diabetes mellitus or chronic kidney disease, albuminuria was also associated with mortality (HR 2.98, 95% CI 1.72-5.17, p < 0.001). At 12 months, 330 patients had a repeat UACR measurement; those in whom UACR increased by 30% or more (n = 148, 44.8%) had an increased risk of mortality (HR 1.84, 95% CI 1.06-3.19, p = 0.030).

CONCLUSIONS

Albuminuria is common in patients with ATTR-CA, and more prevalent in those with a more severe cardiac phenotype. Albuminuria at diagnosis and a significant increase in UACR during follow-up are associated with mortality.

Prioritizing the primary prevention of heart failure: Measuring, modifying and monitoring risk

With the rising incidence of heart failure (HF) and increasing burden of morbidity, mortality, and healthcare expenditures, primary prevention of HF targeting individuals in at-risk HF (Stage A) and pre-HF (Stage B) Stages has become increasingly important with the goal to decrease progression to symptomatic (Stage C) HF. Identification of risk based on traditional risk factors (e.g., cardiovascular health which can be assessed with the American Heart Association's Life's Essential 8 framework), adverse social determinants of health, inherited risk of cardiomyopathies, and identification of risk-enhancing factors, such as patients with viral disease, exposure to cardiotoxic chemotherapy, and history of adverse pregnancy outcomes should be the first step in evaluation for HF risk. Next, use of guideline-endorsed risk prediction tools such as Pooled Cohort Equations to Prevent Heart Failure provide quantification of absolute risk of HF based in traditional risk factors. Risk reduction through counseling on traditional risk factors is a core focus of implementation of prevention and may include the use of novel therapeutics that target specific pathways to reduce risk of HF, such as mineralocorticoid receptor agonists (e.g., fineronone), angiotensin-receptor/neprolysin inhibitors, and sodium glucose co-transporter-2 inhibitors. These interventions may be limited in at-risk populations who experience adverse social determinants and/or individuals who reside in rural areas. Thus, strategies like telemedicine may improve access to preventive care. Gaps in the current knowledge base for risk-based prevention of HF are highlighted to outline future research that may target approaches for risk assessment and risk-based prevention with the use of artificial intelligence, genomics-enhanced strategies, and pragmatic trials to develop a guideline-directed medical therapy approach to reduce risk among individuals with Stage A and Stage B HF.

Novel Prediction Equations for Absolute Risk Assessment of Total Cardiovascular Disease Incorporating Cardiovascular-Kidney-Metabolic Health: A Scientific Statement From the American Heart Association

Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by the American Heart Association in response to the high prevalence of metabolic and kidney disease. Epidemiological data demonstrate higher absolute risk of both atherosclerotic cardiovascular disease (CVD) and heart failure as an individual progresses from CKM stage 0 to stage 3, but optimal strategies for risk assessment need to be refined. Absolute risk assessment with the goal to match type and intensity of interventions with predicted risk and expected treatment benefit remains the cornerstone of primary prevention. Given the growing number of therapies in our armamentarium that simultaneously address all 3 CKM axes, novel risk prediction equations are needed that incorporate predictors and outcomes relevant to the CKM context. This should also include social determinants of health, which are key upstream drivers of CVD, to more equitably estimate and address risk. This scientific statement summarizes the background, rationale, and clinical implications for the newly developed sex-specific, race-free risk equations: PREVENT (AHA Predicting Risk of CVD Events). The PREVENT equations enable 10- and 30-year risk estimates for total CVD (composite of atherosclerotic CVD and heart failure), include estimated glomerular filtration rate as a predictor, and adjust for competing risk of non-CVD death among adults 30 to 79 years of age. Additional models accommodate enhanced predictive utility with the addition of CKM factors when clinically indicated for measurement (urine albumin-to-creatinine ratio and hemoglobin A1c) or social determinants of health (social deprivation index) when available. Approaches to implement risk-based prevention using PREVENT across various settings are discussed.

Biomarkers for Heart Failure Prediction and Prevention

Heart failure (HF) is a global pandemic affecting over 64 million people worldwide. Its prevalence is on an upward trajectory, with associated increasing healthcare expenditure. Organizations including the American College of Cardiology (ACC) and the American Heart Association (AHA) have identified HF prevention as an important focus. Recently, the ACC/AHA/Heart Failure Society of America (HFSA) Guidelines on heart failure were updated with a new Class IIa, Level of Evidence B recommendation for biomarker-based screening in patients at risk of developing heart failure. In this review, we evaluate the studies that have assessed the various roles and contributions of biomarkers in the prediction and prevention of heart failure. We examined studies that have utilized biomarkers to detect cardiac dysfunction or abnormality for HF risk prediction and screening before patients develop clinical signs and symptoms of HF. We also included studies with biomarkers on prognostication and risk prediction over and above existing HF risk prediction models and studies that address the utility of changes in biomarkers over time for HF risk. We discuss studies of biomarkers to guide management and assess the efficacy of prevention strategies and multi-biomarker and multimodality approaches to improve risk prediction.

Joint Association of Albuminuria and Left Ventricular Hypertrophy With Incident Heart Failure in Adults at High Risk With Hypertension: A Systolic Blood Pressure Intervention Trial Substudy

Albuminuria and left ventricular hypertrophy (LVH) are independent predictors of heart failure (HF); however, to the best of our knowledge, their combined effect on the risk of HF has not yet been explored. Therefore, we examined the joint associations of albuminuria and electrocardiographic-LVH with incident acute decompensated HF (ADHF), and whether albuminuria/LVH combinations modified the effects of blood pressure control strategy in reducing the risk of ADHF. A total of 8,511 participants from the Systolic Blood Pressure Intervention Trial (SPRINT) were included. Electrocardiographic-LVH was present if any of the following criteria were present: Cornell voltage, Cornell voltage product, or Sokolow-Lyon. Albuminuria was defined as urine albumin/creatinine ratio ≥30 mg/g. ADHF was defined as hospitalization or emergency department visit for ADHF. Cox proportional hazard models were used to examine the association of neither LVH nor albuminuria (reference), either LVH or albuminuria, and both (LVH + albuminuria) with incident ADHF. Over a median follow-up of 3.2 years, 182 cases of ADHF occurred. In adjusted models, concomitant albuminuria and LVH were associated with greater risk of ADHF than either albuminuria or LVH in isolation (hazard ratio [95% confidence interval]: 4.95 [3.22 to 7.62], 2.04 [1.39 to 3.00], and 1.47 [0.93 to 2.32], respectively, additive interaction p = 0.01). The effect of intensive blood pressure in reducing ADHF was attenuated in participants with coexisting albuminuria and LVH without any interaction between treatment group assignment and albuminuria/LVH categories (interaction p = 0.26). In conclusion, albuminuria and LVH are additive predictors of ADHF. The effect of intensive blood pressure control in reducing ADHF risk did not vary significantly across albuminuria/LVH combinations.

Resolved Proteinuria May Attenuate the Risk of Heart Failure: A Nationwide Population-Based Cohort Study

Although proteinuria is a risk factor for heart failure (HF), proteinuria can be reversible or persistent. Our objective was to explore the link between changes in the proteinuria status and the risk of HF. We included participants from a Korean national health screening cohort who underwent health examinations in 2003-2004 and 2005-2006 and had no history of HF. Participants were categorized into four groups: proteinuria-free, proteinuria-resolved, proteinuria-developed, and proteinuria-persistent. The outcome of interest was the occurrence of HF. The study included 1,703,651 participants, among whom 17,543 (1.03%) were in the proteinuria-resolved group and 4585 (0.27%) were in the proteinuria-persistent group. After a median follow-up period of 14.04 years (interquartile range 14.19-15.07), HF occurred in 75,064 (4.41%) participants. A multivariable Cox proportional hazards regression analysis indicated that the proteinuria-persistent group had a higher risk of HF compared with the proteinuria-free group (hazard ratio (HR): 2.19, 95% confidence interval (CI): 2.03-2.36, p < 0.001). In a further pairwise comparison analysis, participants in the proteinuria-resolved group had a relatively low risk of HF compared with those in the proteinuria-persistent group (HR: 0.64, 95% CI: 0.58-0.70, p < 0.001). In conclusion, the risk of HF can change with alterations in the proteinuria status.

Early diagnosis of chronic kidney disease in patients with diabetes in France: multidisciplinary expert opinion, prevention value and practical recommendations

Diabetes is the leading cause of end-stage kidney disease (ESKD), accounting for approximately 50% of patients starting dialysis. However, the management of these patients at the stage of chronic kidney disease (CKD) remains poor, with fragmented care pathways among healthcare professionals (HCPs). Diagnosis of CKD and most of its complications is based on laboratory evidence. This article provides an overview of critical laboratory evidence of CKD and their limitations, such as estimated glomerular filtration rate (eGFR), urine albumin-to-creatinine ratio (UACR), Kidney Failure Risk Equation (KFRE), and serum potassium. eGFR is estimated using the CKD-EPI 2009 formula, more relevant in Europe, from the calibrated dosage of plasma creatinine. The estimation formula and the diagnostic thresholds have been the subject of recent controversies. Recent guidelines emphasized the combined equation using both creatinine and cystatin for improved estimation of GFR. UACR on a spot urine sample is a simple method that replaces the collection of 24-hour urine. Albuminuria is the preferred test because of increased sensitivity but proteinuria may be appropriate in some settings as an alternative or in addition to albuminuria testing. KFRE is a new tool to estimate the risk of progression to ESKD. This score is now well validated and may improve the nephrology referral strategy. Plasma or serum potassium is an important parameter to monitor in patients with CKD, especially those on renin-angiotensin-aldosterone system (RAAS) inhibitors or diuretics. Pre-analytical conditions are essential to exclude factitious hyperkalemia. The current concept is to correct hyperkalemia using pharmacological approaches, resins or diuretics to be able to maintain RAAS blockers at the recommended dose and discontinue them at last resort. This paper also suggests expert recommendations to optimize the healthcare pathway and the roles and interactions of the HCPs involved in managing CKD in patients with diabetes.

Interrelations between albuminuria, electrocardiographic left atrial abnormality, and incident atrial fibrillation in the Multi-Ethnic Study of Atherosclerosis (MESA) cohort

BACKGROUND

The objective of the study was to examine the joint associations of albuminuria and electrocardiographic left atrial abnormality (ECG-LAA) with incident atrial fibrillation (AF) and whether this relationship varies by race.

METHODS

This analysis included 6670 participants free of clinical cardiovascular disease (CVD), including atrial fibrillation (AF), from the Multi-Ethnic Study of Atherosclerosis. ECG-LAA was defined as P-wave terminal force in V1 [PTFV1] >5000 μV × ms. Albuminuria was defined as urine albumin-creatinine ratio (UACR) ≥30 mg/g. Incident AF events through 2015 were ascertained from hospital discharge records and study-scheduled electrocardiograms. Cox proportional hazard models were used to examine the association of "no albuminuria + no ECG-LAA (reference)", "isolated albuminuria", "isolated ECG-LAA" and "albuminuria + ECG-LAA" with incident AF.

RESULTS

Over a median follow-up of 13.8 years, 979 incident cases of AF occurred. In adjusted models, the concomitant presence of ECG-LAA and albuminuria was associated with a higher risk of AF than either ECG-LAA or albuminuria in isolation (HR (95% CI): 2.43 (1.65-3.58), 1.33 (1.05-1.69), and 1.55 (1.27-1.88), respectively (interaction p-value = 0.50). Effect modification by race was observed with a 4-fold greater AF risk in Black participants with albuminuria + ECG-LAA (HR (95%CI): 4.37 (2.38-8.01) but no significant association in White participants (HR (95% CI) 0.60 (0.19-1.92) respectively; (interaction p-value for race x albuminuria-ECG-LAA combination = 0.05).

CONCLUSIONS

Concomitant presence of ECG-LAA and albuminuria confers a higher risk of AF compared to either one in isolation with a stronger association in Blacks than Whites.

Microalbuminuria and mortality in individuals with coronary heart disease: A meta-analysis of a prospective study

AIM

Microalbuminuria has been elevated as an outcome predictor in cardiovascular medicine. However, due to the small number of studies investigating the association of microalbuminuria and mortality in the coronary heart disease (CHD) population, the prognosis value of microalbuminuria in CHD remains under debate. The objective of this meta-analysis was to investigate the relationship between microalbuminuria and mortality in individuals with CHD.

METHOD

A comprehensive literature search was performed using Pubmed, EuroPMC, Science Direct, and Google Scholar from 2000 to September 2022. Only prospective studies investigating microalbuminuria and mortality in CHD patients were selected. The pooled effect estimate was reported as risk ratio (RR).

RESULTS

5176 patients from eight prospective observational studies were included in this meta-analysis. Individuals with CHD have a greater overall risk of all-cause mortality (ACM) [rR = 2.07 (95% CI = 1.70-2.44); p = 0.0003; I2 = 0.0%] as well as cardiovascular mortality (CVM) [rR = 3.23 (95% CI = 2.06-4.39), p < 0.0001; I2 = 0.0%]. Subgroup analysis based on follow-up duration and a subset of CHD patients were similarly associated with an increased risk of ACM.

CONCLUSION

This meta-analysis indicates that microalbuminuria is associated with a higher risk of mortality in individuals with CHD. Microalbuminuria can serve as a predictor of poor outcomes in CHD patients.

Renal Biomarkers in Cardiovascular Patients with Acute Kidney Injury: A Case Report and Literature Review

Biomarkers have become important tools in the diagnosis and management of cardiorenal syndrome (CRS), a complex condition characterized by dysfunction in both the cardiovascular and renal systems. Biomarkers can help identify the presence and severity of CRS, predict its progression and outcomes, and facilitate personalized treatment options. Several biomarkers, including natriuretic peptides, troponins, and inflammatory markers, have been extensively studied in CRS, and have shown promising results in improving diagnosis and prognosis. In addition, emerging biomarkers, such as kidney injury molecule-1 and neutrophil gelatinase-associated lipocalin, offer potential for early detection and intervention of CRS. However, the use of biomarkers in CRS is still in its infancy, and further research is needed to establish their utility in routine clinical practice. This review highlights the role of biomarkers in the diagnosis, prognosis, and management of CRS, and discusses their potential as valuable clinical tools for personalized medicine in the future.