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. 2022 Oct 11;50(8):1110–1124. doi: 10.1002/jcu.23265

Cardiorenal syndrome: Pathophysiology as a key to the therapeutic approach in an under‐diagnosed disease

Maria Prastaro 1, Ermanno Nardi 1, Stefania Paolillo 1, Ciro Santoro 1,, Antonio L M Parlati 1, Paola Gargiulo 1, Christian Basile 1, Davide Buonocore 1, Giovanni Esposito 1, Pasquale Perrone Filardi 1
PMCID: PMC9828083  PMID: 36218199

Abstract

Cardiorenal syndrome is a clinical condition that impacts both the heart and the kidneys. One organ's chronic or acute impairment can lead to the other's chronic or acute dysregulation. The cardiorenal syndrome has been grouped into five subcategories that describe the etiology, pathophysiology, duration, and pattern of cardiac and renal dysfunction. This classification reflects the large spectrum of interrelated dysfunctions and underlines the bidirectional nature of heart‐kidney interactions. However, more evidence is needed to apply these early findings in medical practice. Understanding the relationship between these two organs during each organ's impairment has significant clinical implications that are relevant for therapy in both chronic and acute conditions. The epidemiology, definition, classification, pathophysiology, therapy, and outcome of each form of cardiorenal syndrome are all examined in this review.

Keywords: acute kidney disease, cardiorenal syndrome, cardiovascular disease, chronic kidney disease, heart failure


Cardiorenal syndrome is a pathophysiological disorder that involves both heart and kidneys, in which acute or chronic dysfunction of one organ may induce acute or chronic dysfunction of the other. In both chronic and acute situations, an appreciation of the interaction between heart and kidney has practical clinical implications. Authors consider useful differentiating for clinical reasons the acute (CRS‐1 and CRS‐3), chronic (CRS‐2 and CRS‐4), and systemic (CRS‐5) settings.

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1. INTRODUCTION

The term CRS was coined to describe the connection between the cardiovascular (CV) and renal systems, which has long been recognized as interconnected. As early as 1913, Rowntree et al. documented effects of the renal venous congestion on renal activity in dogs. 1 These observations were corroborated by Winton et al. in 1937, assuming that this partial limitation of urine outflow in the tubules can be the consequence of the increased intrarenal pressure. 2 In 1949, Blake and colleagues 3 widely researched the impact of raising renal venous pressure on renal circulation, sodium, and water excretion. In 2004, the National Heart, Lung, and Blood Institute's Working Group attempted to describe CRS as the result of a strong connection between the cardiovascular system and the kidneys that expand circulation volume, worsening heart failure (HF) and renal disease. 4 In 2008, the Acute Dialysis Quality Initiative (ADQI) proposed a model based on the disease's primum movens, classifying CRS in five subcategories. 5 , 6 Renal insufficiency can severely impact on the cardiac function while a damaged heart has several detrimental consequences on the kidney function. In both acute and chronic conditions, knowing the link between the heart and the kidney has clinical implications. In the present review, we analyze the pathophysiology, clinical implications, and treatment of CRS in the acute and chronic settings, pointing the importance of a pathophysiological approach to the disease in order to choose the optimal therapeutic path.

2. EPIDEMIOLOGY, DEFINITION, AND CLASSIFICATION

Cardiovascular disease (CVD) is a considerable concern for patients with chronic kidney disease (CKD), accounting for 43.6 percent of all fatalities in end‐stage renal failure (ESRD). 7 In the United States, one in every three adults has been diagnosed with a CV disease such as hypertension, ischemic heart disease, heart failure, cerebrovascular disease, or congenital heart disease. 8 Coronary ischemic disease and left ventricular hypertrophy are found in 40% and 75% of ESRD patients, respectively. The incidence of any stage of CKD in the United States has recently been assessed at 13%, which amounts to nearly 30 million patients. CV disease is thought to account for more than half of all fatalities in CRS patients, 10–20 times greater than in age‐matched non‐CRS individuals. 9 , 10 The implications of a damaged heart on kidney failure were previously emphasized in suggested definitions of CRS. However, now it is established that both the heart and the kidney might be the first site of injury. 11 So, CRS can be caused by the simultaneous dysfunction of both the heart and the kidney, independently of which one was damaged first or their previous functional condition. The ADQI working group has proposed a categorization scheme comprising five subtypes to classify this disease in an academic manner. 5 This five‐point partition is focused on: (a) if the heart, kidneys, or a third separate disease involving both organs is the primary site of damage, (b) whether the cause is chronic or acute. We can define CRS as a cardiac dysfunction leading to kidney function impairment and renocardiac syndrome as a primary renal dysfunction leading to cardiac function impairment. 12 , 13 The five CRS subtypes are summarized in Table 1. In 2013, Hatamizadeh et al. proposed an alternative system mostly based on pathophysiological processes such as haemodynamic, neurohumoral, and iron and mineral metabolism‐related mechanisms. 14 However, it is more hard to apply this classification in clinical practice compared to the ADQI working group classification, and for this reason it is now less popular. When discussing modification in kidney function in HF, the terms “worsening of renal function” (WRF) and “acute kidney injury” (AKI) are frequently employed. The criteria of WRF and AKI based on biomarker alterations are summarized in Table 2.

TABLE 1.

Subtypes of cardiorenal syndrome (CRS) according to acute dialysis quality initiative working group classification

Cardiorenal types Characteristics Causes of morbidity
Type 1 (acute cardiorenal) Acute worsening of heart function leading to acute kidney injury and/or dysfunction Cardiogenic shock and AKI, acute decompensated heart failure (ADHF) resulting in AKI
Type 2 (chronic cardiorenal) Chronic abnormalities in heart function leading to progressive kidney injury and/or dysfunction Chronic heart failure with left ventricular remodeling and dysfunction leading to CKD
Type 3 (acute renocardiac) Acute worsening of kidney function leading to acute heart injury and/or dysfunction Heart failure in the setting of AKI from volume overload, inflammatory surge (es: pericarditis) and accompanying metabolic disturbances
Type 4 (chronic renocardiac) Chronic kidney disease leading to heart injury, disease, and/or dysfunction Myocardial remodeling and heart failure from CKD‐associated cardiomyopathy
Type 5 (secondary cardiorenal) Systemic conditions leading to simultaneous injury and/or dysfunction of heart and kidney Diabetes, amyloidosis, sepsis, cirrhosis, hypertension, vasculitis

Abbreviations: ADHF, acute decompensated heart failure; AKI, acute kidney injury; CKD, chronic kidney disease.

TABLE 2.

Definitions of WRF and AKI

Definition of WRF
GFR based definitions Cystatin‐C based definitions Creatinine based definitions

≥25% decrease

>5 ml/min/1.73mq per year decrease

>0.3 mg/dl increase

>0.3 mg/dl increase and >25% increase

>0.5 mg/dl increase

1.5x baseline

>25% increase + above 2.0 mg/dl

Definition of AKI (KDIGO)
Stages UO component SCr component
Stage 1 <0.5 ml/kg/h for 6–12 h SCr 1.5–1.9x baseline over 7 days or absolute increase ≥0.3 mg/dl over 48 h
Stage 2 <0.5 ml/kg/h for ≥12 h SCr 2.0–2.9x baseline
Stage 3 <0.3 ml/kg/h for ≥24 h or anuria for ≥12 h SCr 3.0x baseline or increase above ≥4.0 mg/dl or RRT

Note: To calculate serum creatinine in mg/dl to μmol/L multiply with 88.4. For AKI criteria, if urine output and serum creatinine stage do not correspond to the same stage, patients are classified in the worse stage. AKI criteria have a stage 1, stage 2, and stage 3.

Abbreviations: AKI, acute kidney injury; GFR, glomerular filtration rate; KDIGO, kidney disease: improving global outcomes; RRT, renal replacement therapy; SCr, serum creatinine; UO, urine output; WRF, worsening of renal function.

3. PATHOPHYSIOLOGY

The various pathophysiological processes involved in such a complicated disease contribute to the challenges in describing, investigating, and treating CRS. Table 3 lists and describes all of the different pathophysiological processes of CRS. It is useful to distinguish between acute, chronic, and systemic settings for therapeutic reasons. Therefore, we will first discuss about CRS in the acute setting, then CRS in the chronic setting (CRS‐2 and CRS‐4), and finally approach to systemic CRS (CRS‐5).

TABLE 3.

Pathophysiological factors of CRS

Mechanisms Mediators Heart effects Renal effects
Inline graphic Central venous and intra‐abdominal pressures
  • Inline graphic Water and sodium retention

  • Inline graphic Activation of RAAS/SNS

  • Acute/chronic HF

  • Remodeling heart

  • Renal venous congestion

  • Inline graphic GFR

Inline graphic Cardiac output and cardiac index
  • Inline graphic Vascular resistance

  • Inline graphic Perfusion pressure

  • Peripheral vasodilatation

  • RAAS/SNS activation, detrimental to the heart

  • Cardiac ischemia from reduced perfusion

  • Reduced renal perfusion

  • Renal ischemia

Neurohormonal dysregulation: RAAS activation, SNS activation, AVP
  • Impaired baroreceptor reflexes

  • Inline graphic Renin, ang II and aldosterone secretion

  • Inline graphic ET‐1 expression

  • Oxidative stress

  • Ventricular hypertrophy

  • Ventricular disfunction

  • Infiammation with fibrotic effect

  • Hypertension

  • Arteriolar vasoconstriction

  • Inline graphic GFR

  • Inline graphic Water and sodium reabsorption

  • Infiammation with fibrotic effect

Oxidative stress
  • Inline graphic ROS production

  • Inline graphic NADPH oxidase activity

  • Inline graphic Uremic toxin‐mediated cytokines release

  • Ventricular hypertrophy

  • Accelerated atherosclerosis

  • Endothelial dysfunction

  • Infiammation and fibrosis

  • Endothelial dysfunction

  • Accelerated atherosclerosis

  • Fibrosis

  • Infiammation and interstitial fibrosis

Infiammatory mediators
  • Inline graphic TNF‐alpha, IL‐1 family, IL‐6, PCR

  • Accelerated atherosclerosis

  • Infiammation and fibrosis

  • Left ventricular dysfunction and hypertrophy

  • Myocardial cells apoptosis

  • Infiammation and fibrosis

  • Atherosclerosis

  • Glomerular damage by mesangial cells apoptosis

Renal failure related disturbances
  • Inline graphic PBUTs

  • Inline graphic Chronic infiammatory cytokines

  • Oxidative stress

  • FGF23 and Ca‐P abnormalities

  • Anemia (EPO resistance)

  • Acidemia

  • Electrolyte disturbances

  • Coagulation imbalances

  • Endothelial dysfunction

  • Atherosclerosis and vascular calcification

  • Left ventricular dysfuncion and hypertrophy

  • Ischemia

  • Arrythmias

  • Atherosclerosis

  • Infiammation

  • Inline graphic Interstitial and perivascular fibrosis

Iatrogenic factors
  • Drugs (ACE‐I, ARBs, ARNI, diuretics)

  • Contrast agents

  • Hypotension

  • Inline graphic GFR

  • Nephrotoxicity

Abbreviations: ACEi, angiotensin‐converting enzyme inhibitor; ang II, angiotensin II; ARBs, angiotensin receptor blockers; ARNI, angiotensin receptor‐neprilysin inhibitor; FGF‐23, fibroblast growth factor 23; GRF, glomerular filtration rate; HF, heart failure; PBUTs, protein‐bound uremic toxins; PCR, protein C‐reactive; RAAS, renin‐angiotensin‐aldosterone system; ROS, reactive oxygen species; SNS, sympathetic nervous system.

3.1. CRS in the acute setting

CRS‐1 is defined by a rapid reduction of the cardiac function, which leads to AKI. AKI affects about a quarter of individuals with acute decompensated heart failure (ADHF). The prevalence of CRS‐1 was 25.4 percent, categorizing renal outcome by AKI; more than 30 percent of ADHF hospital admissions had a story of renal insufficiency, and 20% used to have an excess of serum creatinine levels of 2.0 mg/dl. 15 WRF has traditionally been linked to kidney hypoperfusion caused by reduced cardiac output (CO). CO's influence in the acute setting is heterogeneous, and it may play a role in some of the most serious types of ADHF, although it is unlikely to play a significant role in the majority of patients. ADHF causes volume overload as well as an increase in central venous pressure (CVP). Increased venous pressures and congestion reduce the blood flow gradient through the glomerular capillary system, resulting in slow intravascular flow, glomerular functional impairment, and decreased urine production. CVP increases have also been demonstrated to be directly linked to renal function. 11 The renin‐angiotensin‐aldosterone system (RAAS) has a role in renal damage development and worsening HF. This neurohormonal pathways are engaged in HF patients to restore tissue perfusion. A rise in renin levels can lead to a greater production of a rise in angiotensin II (Ang II), which has numerous deleterious systemic consequences on the kidneys. An increase in renal plasma flow filtrated through the glomerulus and vasoconstriction of renal efferent arterioles are promoted by Ang II, resulting in lower hydrostatic pressure, increased salt reabsorption in the proximal tubule and higher peritubular oncotic pressure. Ang II also enhances the production of endothelin‐1 (ET‐1) in the kidney and increases aldosterone‐mediated salt reabsorption in the distal tubules. ET‐1 is a powerful vasoconstrictor, proinflammatory, and profibrotic peptide that causes kidney injury through pathologic modifications. Furthermore, volume expansion, sympathetic nervous system (SNS) and RAAS activation are all involved in the amplification of the oxidative stress. Oxidative stress markers were measured in patients with ADHF who had AKI, and those who had CRS had significantly increased levels of oxidative stress markers. 16 Furthermore, in ADHF, the introduction and up‐titration of RAAS blockers, as well as intense diuretic therapy, may cause WRF, which usually occurs later in the course of HF hospitalization. During an ADHF hospitalization, nephrotoxic drugs such as iodized contrast, non‐steroidal anti‐inflammatory medicines (NSAIDs) and some antibiotics can also cause WRF. Figure 1 summarizes the pathophysiology of CRS‐1.

FIGURE 1.

FIGURE 1

Pathophysiology of CRS‐1. Interaction between heart and kidney in cardiorenal syndrome type 1. ACE‐I, angiotensin‐converting enzyme inhibitor; ald, aldosterone; ang II, angiotensin II; ANP, atrial natriuretic peptide; BNP, B‐type natriuretic peptide; CVP, central venous pressure; GFR, glomerular filtration rate; IAP, intra‐abdominal pressure; KIM‐1, kidney injury molecule‐1; L‐FABP, liver‐type fatty acid‐binding protein; RAAS, renin‐angiotensin‐aldosterone system; RBF, renal blood flow; SNS, sympathetic nervous system

CRS‐3 is identified by a gradual reduction in kidney function as a result of AKI, ischemia, or glomerulonephritis leading acute cardiac impairment. AKI is associated with a 58% increased risk of HF (RR 1.58; 95 percent CI 1.46–1.72), a 40% higher risk of acute coronary syndrome (SCA) (RR 1.40; 95 percent CI 1.23–1.59), and a 15% increased risk of cerebrovascular disease. 17 , 18 In AKI patients, RAAS activation results in water and sodium reabsorption, as well as volume expansion and hypertension. Fluid accumulation can culminate in pulmonary edema and a higher risk of death. SNS activation can also causes vasoconstriction. Hyperkalemia can occur as a result of AKI, compromising electrolyte balance and triggering arrhythmias. Increased preload and afterload, decreased contractility, pulmonary vasoconstriction, arrhythmia, and ischemia caused by these variables, in combination with oxidative stress, resulted in ADHF. The pathophysiology of CRS 3 is reported in Figure 2.

FIGURE 2.

FIGURE 2

Pathophysiology of CRS‐3. Interaction between heart and kidney in cardiorenal syndrome type 3. CO, cardiac output; GRF, glomerular filtration rate; RAAS, renin‐angiotensin‐aldosterone system; SNS, sympathetic nervous system

3.2. CRS in the chronic setting

CRS‐2 is identified by a persistent cardiac dysfunction that causes to CKD over time. Both CKD and HF are chronic inflammatory diseases that cause the production of proinflammatory molecules. These biomarkers are important for tissue injury in both systems, which results in fibrosis and cell death. CKD is common in HF, with a prevalence ranging from 20% to 57 percent in chronic HF patients. 18 HF with preserved and reduced ejection fraction (EF), congenital heart disease, atrial fibrillation (AF) and ischemic heart disease are all underlying diseases in CRS‐2. CKD must appear secondarily to chronic HF to be classified as CRS‐2. Oxidative stress and chronic infiammation have significant weight. TNF‐alpha and IL‐6 increase the production of monocyte chemiotactic factors in the interstitium of the kidneys, promoting the concentration of inflammatory cells in the interstitium. TNF‐alpha also causes mesangial cell death, which damages the glomerulus. C‐reactive protein (CRP), an acute phase protein, demonstrated to have a role in the pathophysiology of atherosclerosis with multiple pathways. 19 Erythropoietin deficiency is frequently linked to CKD. Palazzuoli et al. observed that erythropoiesis stimulating drugs can improve cardiac function and lower left ventricle size and volume when used to treat HF, CKD, and anemia. 20 In the RED‐HF study, on the other hand, treating anemia with darbepoetin alfa did not decrease the risk of mortality or hospitalization in patients with systolic HF who were already on medication. Furthermore, people who received darbepoetin alfa had a higher probability of thromboembolism. 21 Patients with severe anemia (hemoglobin less than 9.0 g/dl) are excluded from this study. As a result, an increase in hemoglobin levels could support Palazzuoli thesis's in case of severe anemia. Figure 3 summarizes the pathophysiology of CRS‐2.

FIGURE 3.

FIGURE 3

Pathophysiology of CRS‐2. Interaction between heart and kidney in cardiorenal syndrome type 2. ACE‐I, angiotensin‐converting enzyme inhibitor; ADHF, acute decompensated heart failure; ANP, atrial natriuretic peptide; BNP, B‐type natriuretic peptide; CVP, central venous pressure; GFR, glomerular filtration rate; IAP, intra‐abdominal pressure; LVH, left ventricular hypertrophy; RBF, renal blood flow; RAAS, renin‐angiotensin‐aldosterone system; SNS, sympathetic nervous system

CRS‐4 is defined on the basis of CKD as the cause of cardiac dysfunction. Renal dysfunction is an independent risk factor for CV disease. Ischemic coronary disease affects around 40% of ESRD patients, and chronic HF affects nearly 40% of them. 11 Vasoconstriction, sodium and water reabsorption, and oxidative stress, RAAS and SNS activation can contribute to CRS‐4. they have been associated to renal damage, reduced proliferation of the endothelium, and worse wound healing, contributing to the progressione of CKD. 22 , 23 Furthermore, PBUTs increase oxidative stress in kidneys and heart, resulting in cardiorenal fibrosis. Fibroblast growth factor‐23 (FGF23), a hormone that regulates phosphorus and vitamin D metabolism in the kidney, is a powerful indicator of poor CV prognosis in individuals with CKD and ESRD. Elevated FGF‐23 levels are associated to left ventricular hypertrophy and death in those with severe CKD. 24 We resume the pathophysiology of CRS‐4 in Figure 4.

FIGURE 4.

FIGURE 4

Pathophysiology of CRS‐4. Interaction between heart and kidney in cardiorenal syndrome type 4. Ca, calcium; EPO, erythropoietin; LVH, left ventricular hypertrophy; PBUTs, protein‐bound uremic toxins; Phos, phosphorus; RAAS, renin‐angiotensin‐aldosterone system; SNS, sympathetic nervous system

3.3. Systemic CRS

CRS‐5 happens when a systemic illness causes both heart and kidney damage at the same time. Based on the pathophysiological process and severity of the disease, CRS‐5 can be divided into four stages: hyperacute (0–72 h after diagnosis), acute (3–7 days), subacute (7–30 days), and chronic (7–30 days) (beyond 30 days). Systemic disorders that might produce CRS‐5 include sepsis, connective tissue diseases such as lupus, amyloidosis, sarcoidosis, and cirrhosis. According to current understanding, hemodynamic factors and inflammatory markers have a role in the pathophysiology of septic AKI. Renal and cardiac injury are typically mediated by complement factors, inflammatory cytokines and RAAS activation, common destinations for many types of CRS. Organ injury could occur in sepsis due to increased renal vascular resistance, as well as an early rise in oxidative stress and inflammatory cytokines (IL‐6). 25 Ischemia and inflammatory mediators are the major drivers of AKI in individuals with sepsis: patients with septic shock have higher concentration of prostanoids (like prostacyclin and thromboxane), tumor necrosis factor and IL‐1 with endothelial dysfuncion and lack of autoregulation. 26 The pathophysiology of CRS‐5 is summarized in Figure 5.

FIGURE 5.

FIGURE 5

Pathophysiology of CRS‐5. Interaction between systemic disease, heart and kidney in cardiorenal syndrome type 5. DIC, disseminated intravascular coagulation; LPS, lipopolysaccharide; RAAS, renin‐angiotensin‐aldosterone system; ROS, reactive oxygen species; SNS, sympathetic nervous system; SVR, system vascular resistance

4. BIOMARKERS AND DIAGNOSIS

Laboratory and clinical results, ultrasonography, and other radiological investigations are used to diagnose CRS‐1. Biomarkers like Creatinine, for example, are already well‐established role in the diagnosis. New biomarkers including serum and urine neutrophil gelatinase–associated lipocalin (NGAL), kidney injury molecule 1 (KIM‐1), liver‐type fatty acid‐binding protein (L‐FABP), cystatin –C, interleukin 18 (IL‐18) and other renal injury indicators offer new horizons. M arkers of myocardial necrosis, such as troponins I (cTnI) and T (cTnT), and indicators of HF, such as N‐terminal pro B‐type (NT‐proBNP) and the active form B‐type natriuretic peptide (BNP) are frequently utilized in clinical practice. All laboratory biomarkers are reported in Table 4 and briefly subsequently described. In patients with CRS, an ultrasound examination of heart and kidneys could be useful to identity pathologies that require specific treatment like glomerulonephritis or nephrotic syndrome.

TABLE 4.

Biomarkers useful to support the diagnosis of CRS

Biomarkers of glomerular function

Creatinine

Urea

Cystatin‐C

Albumin

Creatinine clearance

Blood and urinary marker

Blood marker

Blood and urinary marker

Urinary marker

Biomarkers of tubular function

KIM‐1

NGAL

L‐FABP

Electrolytes

Urinary marker

Blood and urinary marker

Blood and urinary marker

Urinary marker

Cardiac biomarkers

cTnT, cTnI

NT‐proBNP

MR pro‐ANP

MR pro‐ADM

Blood markers

Blood marker

Blood marker

Blood marker

Other biomarkers

PRA

Aldosterone

Il‐1β, IL‐10

ET‐1

Blood marker

Blood marker

Blood markers

Blood marker

Abbreviations: cTnT and cTnI, troponin T and I; ET‐1, endothelin 1; KIM‐1, kidney injury molecule‐1; L‐FABP, liver fatty acid‐binding protein; MR‐proADM, mid‐regional proadrenomedullin; MR‐proANP, Mid‐regional pro‐atrial natriuretic peptide; NGAL, neutrophil gelatinase‐associated lipocalin; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; PRA, plasma renin‐activity.

4.1. Biomarkers of glomerular function

Creatinine, which is used to calculate eGFR, and urea plasma levels are the only renal markers with a high recommendation in HF guidelines. Serum urea testing is recommended in all clinical circumstances because it is connected not only to glomerular filtration but also to tubular reabsorption and hence to neurohormonal activity. 27 The most common endogenous glomerular filtration marker is serum creatinine. Nevertheless, the tubules secrete it in a variety of ways, making it an imprecise indicator of glomerular filtration. To compensate for this flaw, cystatin C was investigated mostly on the assumption that it is filtered by the glomerulus and not secreted by the tubules. 28 The glomerulus filters serum cystatin‐C, which is then catabolized by renal tubular epithelial cells. Murty and colleagues evaluated the diagnostic value of creatinine and cystatin‐C serum levels in the early stages of AKI. 29 When compared to the controls, all AKI cases showed higher blood cystatin‐C levels, although half of these had ordinary serum creatinine levels. As a result, cystatin‐C may be a preferable diagnostic marker for renal impairment in the early stages of AKI compared to creatinine. Lately, higher blood cystatin‐C levels have been linked to the development of serious cardiovascular events such as stroke and non‐fatal myocardial infarction in individuals presenting with coronary artery disease. 30 GFR can be calculated using a multitude of formulae based on serum creatinine, cystatin C, or a mix of the two. In several clinical situations, calculation based purely on serum creatinine is likely sufficient. 31 Cystatin C, either alone or in conjunction with creatinine, has been demonstrated to increase the link among mortality and CKD risk. Net reclassification improvement (NRI), an indicator that is widely used to assess the prognostic capacity of emerging biomarkers, could be used to quantify the level of improvement in risk stratification for people who are reassigned using cystatin C compared to creatinine. 32

4.2. Biomarkers of tubular function

There is debate on how to quantify tubular function and a wide assortment of biomarkers has been studied. KIM‐1 is a plasmatic and urine indicator for proximal tubule damage, and it is increased following toxic or ischemia renal injury. 33 When comparing individuals with AKI to individuals without AKI undergoing heart surgery and healthy controls, plasma KIM‐1 concentrations are considerably higher. 34 193 individuals with HF or SCA undergoing coronary angiography or other cardiac surgery had comparable findings. 35 Furthermore, plasma KIM‐1 was increased in HF patients compared to individuals without HF with CKD who received maintenance hemodialysis. 36 NGAL, commonly referred as lipocalin‐2, is a short peptide secreted from tubular cells as a reaction to acute damage and is the most thoroughly investigated plasma tubular damage biomarker. 37 Plasma NGAL is linked to infection and inflammation, urine NGAL is assumed to be mainly produced and secreted by tubules. High‐urine NGAL concentrations were linked to the likelihood of CKD advancement and the evolution of ESRD in a large investigation of CKD stages 2–4. 38 The diagnostic capability of NGAL for renal dysfunction has been also investigated in HF patients. 39 Palazzuoli et al. compared urinary NGAL in CRS patients and HF patients without renal dysfunction. The levels of urinary NGAL were significantly increased in CRS patients compared to HF patients with no signs of renal abnormalities suggesting that the development of WRF in ADHF patients can be predicted by the elevated urine levels of NGAL and KIM‐1. 40 Furthermore, in 252 individuals with CKD and without antecedent CV events, NGAL was found to be an independent indicator of CV events such as SCA, aortic dissection, and CV mortality. Liver fatty acid‐binding protein (L‐FABP) has also been proposed as an indicator for tubular function. In ADHF patients developing AKI, urine L‐FABP concentrations were observed to be higher than in ADHF patients not developing AKI. 41 High urine L‐FABP concentration might be utilized as a predictive indicator for the progression of ERSD and the beginning of CV impairment in CKD, according to a research by Matsui and colleagues. 42

4.3. Urinary biomarkers

Many Indicators of glomerular efficiency (creatinine clearance, urine creatinine), glomerular structure and podocyte function (albuminuria), and urinary indicators of tubular function and damage are tested in the urine (urinary tubular impairment markers, urinary sediment, and electrolytes). Urinary electrolyte levels and urinary volume, particularly, could be used as a functional evaluation to measure tubular function, which could be particularly useful in HF. An early decrease of natriuretic response is related to HF, which leads to the progression of congestion. 30 Aside from the possible issue of partial collections, we must note that under non‐steady state situations, plasma creatinine levels shift slowly, resulting in mistakes in GFR calculations. As a result, 24‐hour urine collection‐based GFR measurements in chronic HF with stabilized renal function are good approximations of true GFR. Creatinine clearance might be used if GFR prediction based on calculations are uncertain. Albuminuria is a useful method for assessing glomerular integrity. Urinary tubular indicators, in addition to those evaluating glomerular activity and integrity, are frequently employed to assess the development of AKI. Moreover, higher urinary tubular damage indicators fail to detect HF patients with a worse prognosis or reduced diuretic response. 43 As a result, the use of these urinary tubular damage indicators in patients with HF is restricted.

4.4. Cardiac biomarkers

Lately, Osmar and collegues has investigated the predictive efficacy of cTnT in individuals who developed AKI following heart surgery. TnT concentrations were are considerably greater in heart surgery‐induced AKI subjects (n = 100) compared to non‐AKI subjects (n = 259). 44 Elevated concentrations of natriuretic peptides (NP) could be induced by renal impairment, but they are well‐established indicators in the diagnosis and prognosis of HF. NP have the capacity to be a relevant diagnostic and prognostic resource in a wide spectrum of CRS types 45 , 46 : elevated not just in CRS types 1 and 2, but also in CRS‐4, where BNP is a relevant parameter for recognizing acute HF in subjects with CKD and expects to be able to forecast cardiovascular events. In a group of 908 subjects with ADHF, elevated BNP concentrations were linked to the probability of renal impairment. 47 Elevated plasma concentration of MR pro‐ANP (Mid‐regional pro‐atrial natriuretic peptide) and MR pro‐ADM (mid‐regional proadrenomedullin) were linked to CV events (n = 85) including SCA, aortocoronary bypass, cerebrovascular events, and all‐cause mortality in dialysis, according to Gouya and collegues. 48 Copeptin, the C‐terminal component of arginine vasopressin (AVP), is a plasma protein that is easily detectable. As a result, copeptin became an alternative indicator for AVP in blood, indicating vasopressin activity. In a trial of hemodialysis subjects, the highest percentile of copeptin was linked to a 3.5‐fold increased risk of stroke, a 73% increased risk of sudden death, and a 48% increased risk of all‐cause mortality. 49 Soluble ST2 (sST2) and Galectin‐3 (a‐galactoside‐binding lectin), both members of the IL‐1 receptor class, are indicators of cardiac stress, remodeling, and fibrosis, and are still being discussed in the field of CRS. 50

4.5. Other biomarkers in CRS patients

Two blood indicators, aldosterone, and plasma renin‐activity (PRA), were used to investigate RAAS activity. Elevated concentrations of aldosterone and PRA shown to be strongly linked with WRF in ADHF. 51 Ortega‐Hernandez and collegues investigated the relationship between numerous inflammatory markers and renal impairment in subjects who had suffered myocardial damage as a result of a SCA. Higher levels of TnI, interleukins (IL‐1, IL‐10), and ET‐1 are related with WRF in SCA subjects developing AKI, and IL‐6 and ET‐1 seem to have a major role in the interaction among “de novo cardiac and renal impairment.” 52

5. MANAGEMENT AND THERAPEUTIC APPROACH

5.1. CRS in the acute setting

CRS‐1. As shown in Figure 6, the Cardio‐Renal Dysfunction Study Group recommends a (frequent) complete examination of kidney function during ADHF with CRS‐1. WRF might be investigated for its onset and possible causes, as well as its link to diuretic response and functional status. In individuals who have a positive diuretic response, every attempt should be addressed to achieve full decongestion, since remnant congestion at discharge is the most common indicator of readmission. 53 , 54 Appropriate dosage and early examination of diuretic response by sodium excretion and urine volume estimation, as well as early up‐titration of diuretic dosage, if necessary, are critical. 55 In addition, in all HF subjects with reduced EF, (re)initiation and up‐titration of RAAS blockers must be explored when feasible. Alternative explanations should be addressed if diuretic response is weak and/or functional status starts to deteriorate for WRF. Initially, reversible conditions such as genitourinary blockage or ascites‐related elevated intra‐abdominal pressure must be ruled out. In hemodynamically stable individuals with ADHF (systolic blood pressure >90 mmHg), the 2021 European Society of Cardiology (ESC) HF guidelines recommend the use of vasodilators. Ultrafiltration should be used as a last resource in individuals with progressive fluid overload and AKI. Utilization of vasopressors, inotropes or interim mechanical assistance must be evaluated in individuals with signs and symptoms of hypotension and hypoperfusion with inadequate diuretic response in ADHF. 26 , 43

FIGURE 6.

FIGURE 6

Therapeutic management of CRS‐1. BP, blood pressure; CO, cardiac output; CVP, central venous pressure; GDMT, guideline‐directed medical therapy; HD, hemodynamic; HF, heart failure; IAP, intra‐abdominal pressure; ICU, intensive care unit; IV, intravenous; MCS, mechanical circulatory support; NSAIDS, non‐steroidal anti‐inflammatory drugs; TTE, transthoracic echocardiography; WRF, worsening of renal function

CRS‐3. The cause and severity of AKI, and even the kind of acute cardiac damage, determine the effectiveness of CRS‐3 therapy. The genesis of AKI must be determined, as well as any potentially reversible factors. Obstructive uropathy with surgery, prerenal cause with fluid resuscitation, or acute glomerulonephritis with immunotherapy are all treatable forms of AKI. Administration of loop diuretics is a cornerstone of treatment in the case of non‐oliguric AKI and volume overload. Renal replacement therapy (RRT) may be needed if there is no rapidly recoverable cause and the AKI is significant with consequences such as hyperkalemia, severe acidemia and fluid overload. Observational data supports a link among negative daily fluid balance with RRT and better prognosis in subjects with oliguric AKI with critic fluid overload necessitating RRT. 56 On the cellular level loop diuretics influence the functioning of the sodium‐potassium‐chloride cotransport system. Because of the incapacity to reabsorb sodium in the loop area of the nephron, the high medullary osmolality is lost, and the kidney's capacity to reabsorb water is reduced. Renal vascular resistance is reduced, resulting in more blood flow to the kidneys. The GFR may have a reversable drop that was due to changes in kidney hydrodynamics. A brief decline in GFR is caused by fluid retention within the nephron lumen caused by higher flow, filtration decrease, and higher intracapsular hydrostatic pressure. 57 The management of CRS‐3 is summarized in Figure 7.

FIGURE 7.

FIGURE 7

Therapeutic management of CRS‐3. AHF, acute heart failure; AKI, acute kidney injury; CKD, chronic kidney disease; RRT, renal replacement therapy

5.2. CRS in the chronic setting

CRS‐2. Angiotensin‐converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), sacubitril/valsartan (ARNI), mineralocorticoid antagonists, and SGLT2 inhibitors were all studied for their involvement in CRS‐2 therapy. After starting RAAS blockers, individuals with baseline CKD see a decrease in their GFR. In most subjects, this decline occurs early, and serum creatinine recovers within 30 percent of initial levels in the large proportion of cases. 58 ARBs have fewer data, but regardless of the existence of CKD, studies show a comparable effect on outcome. 59 In individuals with diabetes CKD, ACE‐I, and ARBs proved to be even renoprotective. Sacubitril/valsartan, on the other hand, has been shown to minimize the GFR reduction when compared to enalapril. 60 Sacubitril/valsartan's favorable effects on death rates are also preserved in subjects with severe CKD. In the same way as ACE‐I and ARBs generate an immediate decline in GFR, the EMPHASIS‐HF study found that MRA introduction provokes an acute decrease in GFR that lasts all the MRA therapy. 61 Also SGLT‐2 inhibitors induced an initial decrease in eGFR (measured at week 4 of treatment) compared to placebo which showed no significant decrease. During the long‐term follow‐up eGFR remained stable in SGLT2 inhibitor‐treated patients while placebo treatment was accompanied with a progressive decrease in eGFR. 62 , 63 It was shown that SGLT2 transporters colocalize and interact with sodium‐hydrogen exchanger 3 (NHE3), which has a prominent part in proximal tubular salt reabsorption. The increased sodium concentration in the loop of Henle following the block of the SGLT2 cotransporters is perceived by the macula densa as a situation similar to that present in hyperfiltration in the initial phases of diabetic nephropathy. Consequently, there is a constriction of the afferent arteriole with reduction of filtrate, filtration rate and glomerular pressure Although a slight dip in eGFR has been reported at the start of SGLT2 inhibitor at the beginning of therapy, eGFR should stabilize over time. This transitory GFR reduction was also recorded in people without CKD who are using SGLT2‐I, and it usually recovers to initial values within months or when the drug is stopped. 64 Figure 8 shows a strategy to treat CRS‐2 in chronic HF.

FIGURE 8.

FIGURE 8

Therapeutic management of CRS‐2. CRT, cardiac resynchronization therapy; FU, follow‐up; GFR, glomerular filtration rate; HD, hemodynamic; ICU, intensive care unit; MCS, mechanical circulatory support; NSAIDS, non‐steroidal anti‐inflammatory drugs; RAAS, renin–angiotensin–aldosterone system; RAASi, renin–angiotensin–aldosterone system inhibitor; Scr, serum creatinine; SGLT2, sodium–glucose co‐transporter 2

CRS‐4. Higher sympathetic and RAAS activation are linked to CKD and CRS‐4, which can lead to chronic oxidative stress and inflammation. 65 ACE‐I proved to enhance CV survival in individuals with mild to moderate kidney dysfunction, regardless of the degree of myocardial impairment. 66 Their beneficial consequences on ventricular remodeling, neurohormonal activation and hemodynamics might explain why they help dialysis subjects avoid cardiac arrhythmias. Management of ACE‐I, ARBs, and beta‐blockers was strongly linked with better prognosis in ESRD subjects following cardiac arrest by Pun and colleagues. 67 In a laboratory scenario of CRS in mice, Yang and colleagues found that ARNI therapy significantly protected cardiac and kidney functions, mostly by inhibiting mitochondrial damage, oxidative stress, apoptosis, and fibrosis. 68 SGLT2 inhibitors reduce blood glucose levels and improve CKD and HF endpoints. SGLT2 inhibitors were found to be effective in subjects with HF or CKD in two recent investigations, EMPEROR‐Reduced 69 and DAPA‐CKD. 70 SGLT2 inhibitors have been shown to be effective as an additional treatment for CKD and HF in numerous studies. These drugs may be especially helpful in regulating heart and renal function in people who have both CKD and HF. 71 The notion of “cardioprotective dialysis” stems from improvements in dialysis equipment that increases hemodynamic stability, minimize inflammatory and oxidative stress, and generate more effective elimination of small and medium toxins. “Hemofiltration” or “hemodiafiltration” procedures have been linked to improve blood pressure control, a reduced incidence of intradialytic hypotension or arrhythmia, improved β2M and phosphorus clearance, lowered oxidative stress and inflammation markers, and reduced hospitalization rate in numerous trials. 72 In Figure 9 we resume the management of CRS‐4.

FIGURE 9.

FIGURE 9

Therapeutic management of CRS‐4. ACE‐I, angiotensin‐converting enzyme inhibitor; ARBs, angiotensin receptor blockers; BB, beta blockers; CKD, chronic kidney disease; MRA, antimineralocorticoid; NSAIDs, non‐steroidal anti‐inflammatory drugs; RAAS, renin–angiotensin–aldosterone system; RRT, renal replacement therapy

5.3. Systemic CRS

CRS‐5. The primary condition administration, as well as the treatment of renal and cardiac renal impairment and its implications, are the target of therapeutic approaches in CRS‐5. In the case of septic CRS‐5, eradication of the cause of infection, antibiotic treatment, and other supportive treatments are recommended. 73 Early treatment with an intravenous fluid strategy and use of vasopressors or inotropic medications to reverse myocardial depression and systemic vasodilation is critical. 74 Enhanced CO is a result of higher venous return and better myocardial function that could contribute to a better renal blood perfusion and urine output. RRT is recommended if renal damage continues despite fluid optimization and hemodynamic. 75 Figure 10 shows the management of CRS‐5.

FIGURE 10.

FIGURE 10

Therapeutic management of CRS‐5. RAAS, renin–angiotensin–aldosterone system; QoL, quality of life

6. CONCLUSIONS

CRS refers to a group of acute and chronic diseases in which the main damaged organ can be both the heart or the kidney. A knowledge of the relationship between the heart and the kidney has therapeutic consequences in both chronic and acute conditions. The level of awareness and complexity of management required to provide the optimal treatment for these individuals necessitates a multidisciplinary strategy centered on pathogenesis. The capacity to recognize and characterize the pathophysiology of CRS will aid to improve the prognosis of these difficult subject to manage.

CONFLICT OF INTEREST

The authors declare that they have no conflicts of interest.

ACKNOWLEDGMENT

Open Access Funding provided by Universita degli Studi di Napoli Federico II within the CRUI‐CARE Agreement.

Prastaro M, Nardi E, Paolillo S, et al. Cardiorenal syndrome: Pathophysiology as a key to the therapeutic approach in an under‐diagnosed disease. J Clin Ultrasound. 2022;50(8):1110‐1124. doi: 10.1002/jcu.23265

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

REFERENCES

  • 1. Rowntree LG, Fitz R, Geraghty JT. The effects of experimental chronic passive congestion on renal function. Arch Intern Med (Chic). 1913;XI(2):121‐147. doi: 10.1001/archinte.1913.00060260002001 [DOI] [Google Scholar]
  • 2. Winton FR. The influence of venous pressure on the isolated mammalian kidney. J Physiol. 1931;72(1):49‐61. doi: 10.1113/jphysiol.1931.sp002761 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Blake WD, Wegria R, et al. Effect of increased renal venous pressure on renal function. Am J Physiol. 1949;157(1):1‐13. doi: 10.1152/ajplegacy.1949.157.1.1 [DOI] [PubMed] [Google Scholar]
  • 4. NHLBI Working Group . Cardiorenal Connections in Heart Failure and Cardiovascular Disease. National Heart, Lung, and Blood Institute; 2004. [Google Scholar]
  • 5. Ronco C, McCullough P, Anker SD, et al. Acute dialysis quality initiative (ADQI) consensus group. Cardio‐renal syndromes: report from the consensus conference of the acute dialysis quality initiative. Eur Heart J. 2010;31(6):703‐711. doi: 10.1093/eurheartj/ehp507 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Rangaswami J, Mathew RO. Pathophysiological mechanisms in cardiorenal syndrome. Adv Chronic Kidney Dis. 2018;25(5):400‐407. doi: 10.1053/j.ackd.2018.08.006 [DOI] [PubMed] [Google Scholar]
  • 7. National Institutes of Health , National Institute of Diabetes and Digestive and Kidney Diseases. USRDS 1997 annual data report. Bethesda, MD, USA: National Institutes of Health, 1997. http://www.usrds.org/adr_1997.htm.
  • 8. Raine AE, Margreiter R, Brunner FP, et al. Report on management of renal failure in Europe, XXII, 1991. Nephrol Dial Transplant. 1992;7(suppl 2):7‐35. [PubMed] [Google Scholar]
  • 9. Coresh J, Selvin E, Stevens LA, et al. Prevalence of chronic kidney disease in the United States. JAMA. 2007;298(17):2038‐2047. doi: 10.1001/jama.298.17.2038 [DOI] [PubMed] [Google Scholar]
  • 10. Cruz DN, Bagshaw SM. Heart‐kidney interaction: epidemiology of cardiorenal syndromes. Int J Nephrol. 2010;2011:351291. doi: 10.4061/2011/351291 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Ronco C, House AA, Haapio M. Cardiorenal syndrome: refining the definition of a complex symbiosis gone wrong. Intensive Care Med. 2008;34(5):957‐962. doi: 10.1007/s00134-008-1017-8 [DOI] [PubMed] [Google Scholar]
  • 12. Ronco C, Haapio M, House AA, Anavekar N, Bellomo R. Cardiorenal syndrome. J Am Coll Cardiol. 2008;52(19):1527‐1539. doi: 10.1016/j.jacc.2008.07.051 [DOI] [PubMed] [Google Scholar]
  • 13. House AA, Anand I, Bellomo R, et al. Acute dialysis quality initiative consensus group. Definition and classification of cardio‐renal syndromes: workgroup statements from the 7th ADQI consensus conference. Nephrol Dial Transplant. 2010;25(5):1416‐1420. doi: 10.1093/ndt/gfq136 [DOI] [PubMed] [Google Scholar]
  • 14. Hatamizadeh P, Fonarow GC, Budoff MJ, Darabian S, Kovesdy CP, Kalantar‐Zadeh K. Cardiorenal syndrome: pathophysiology and potential targets for clinical management. Nat Rev Nephrol. 2013;9(2):99‐111. doi: 10.1038/nrneph.2012.279 [DOI] [PubMed] [Google Scholar]
  • 15. Ronco C, Cicoira M, McCullough PA. Cardiorenal syndrome type 1: pathophysiological crosstalk leading to combined heart and kidney dysfunction in the setting of acutely decompensated heart failure. J Am Coll Cardiol. 2012;60(12):1031‐1042. doi: 10.1016/j.jacc.2012.01.077 [DOI] [PubMed] [Google Scholar]
  • 16. Virzì GM, Clementi A, de Cal M, et al. Oxidative stress: dual pathway induction in cardiorenal syndrome type 1 pathogenesis. Oxid Med Cell Longev. 2015;2015:391790. doi: 10.1155/2015/391790 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Odutayo A, Wong CX, Farkouh M, et al. AKI and long‐term risk for cardiovascular events and mortality. J Am Soc Nephrol. 2017;28(1):377‐387. doi: 10.1681/ASN.2016010105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Uduman J. Epidemiology of Cardiorenal syndrome. Adv Chronic Kidney Dis. 2018;25(5):391‐399. doi: 10.1053/j.ackd.2018.08.009 [DOI] [PubMed] [Google Scholar]
  • 19. Kimura S, Zhang GX, Nishiyama A, et al. Role of NAD(P)H oxidase‐ and mitochondria‐derived reactive oxygen species in cardioprotection of ischemic reperfusion injury by angiotensin II. Hypertension. 2005;45(5):860‐866. doi: 10.1161/01.HYP.0000163462.98381.7f [DOI] [PubMed] [Google Scholar]
  • 20. Palazzuoli A, Silverberg DS, Iovine F, et al. Effects of beta‐erythropoietin treatment on left ventricular remodeling, systolic function, and B‐type natriuretic peptide levels in patients with the cardiorenal anemia syndrome. Am Heart J. 2007;154(4):645.e9‐645.e15. doi: 10.1016/j.ahj.2007.07.022 [DOI] [PubMed] [Google Scholar]
  • 21. Swedberg K, Young JB, Anand IS, et al. Treatment of anemia with darbepoetin alfa in systolic heart failure. N Engl J Med. 2013;368(13):1210‐1219. doi: 10.1056/NEJMoa1214865 [DOI] [PubMed] [Google Scholar]
  • 22. Chinnappa S, Tu YK, Yeh YC, Glorieux G, Vanholder R, Mooney A. Association between protein‐bound uremic toxins and asymptomatic cardiac dysfunction in patients with chronic kidney disease. Toxins (Basel). 2018;10(12):520. doi: 10.3390/toxins10120520 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Lekawanvijit S. Cardiotoxicity of uremic toxins: a driver of cardiorenal syndrome. Toxins (Basel). 2018;10(9):352. doi: 10.3390/toxins10090352 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Faul C, Amaral AP, Oskouei B, et al. FGF23 induces left ventricular hypertrophy. J Clin Invest. 2011;121(11):4393‐4408. doi: 10.1172/JCI46122 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Mehta RL, Rabb H, Shaw AD, et al. Cardiorenal syndrome type 5: clinical presentation, pathophysiology and management strategies from the eleventh consensus conference of the acute dialysis quality initiative (ADQI). Contrib Nephrol. 2013;182:174‐194. doi: 10.1159/000349970 [DOI] [PubMed] [Google Scholar]
  • 26. Di Lullo L, Bellasi A, Barbera V, et al. Pathophysiology of the cardio‐renal syndromes types 1–5: an uptodate. Indian Heart J. 2017;69(2):255‐265. doi: 10.1016/j.ihj.2017.01.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. McDonagh TA, Metra M, Adamo M, et al. Corrigendum to: 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: developed by the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) with the special contribution of the heart failure association (HFA) of the ESC. Eur Heart J. 2021;42(36):3599‐3726.34447992 [Google Scholar]
  • 28. Salgado JV, Souza FL, Salgado BJ. How to understand the association between cystatin C levels and cardiovascular disease: imbalance, counterbalance, or consequence? J Cardiol. 2013. Dec;62(6):331‐335. doi: 10.1016/j.jjcc.2013.05.015 [DOI] [PubMed] [Google Scholar]
  • 29. Murty MS, Sharma UK, Pandey VB, Kankare SB. Serum cystatin C as a marker of renal function in detection of early acute kidney injury. Indian J Nephrol. 2013;23(3):180‐183. doi: 10.4103/0971-4065.111840 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Ix JH, Shlipak MG, Chertow GM, Whooley MA. Association of cystatin C with mortality, cardiovascular events, and incident heart failure among persons with coronary heart disease: data from the heart and soul study. Circulation. 2007;115(2):173‐179. doi: 10.1161/CIRCULATIONAHA.106.644286 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Petra E, Zoidakis J, Vlahou A. Protein biomarkers for cardiorenal syndrome. Expert Rev Proteomics. 2019;16(4):325‐336. doi: 10.1080/14789450.2019.1592682 [DOI] [PubMed] [Google Scholar]
  • 32. Ferguson TW, Komenda P, Tangri N. Cystatin C as a biomarker for estimating glomerular filtration rate. Curr Opin Nephrol Hypertens. 2015;24(3):295‐300. doi: 10.1097/MNH.0000000000000115 [DOI] [PubMed] [Google Scholar]
  • 33. Bonventre JV. Kidney injury molecule‐1 (KIM‐1): a urinary biomarker and much more. Nephrol Dial Transplant. 2009;24(11):3265‐3268. doi: 10.1093/ndt/gfp010 [DOI] [PubMed] [Google Scholar]
  • 34. Sabbisetti VS, Waikar SS, Antoine DJ, et al. Blood kidney injury molecule‐1 is a biomarker of acute and chronic kidney injury and predicts progression to ESRD in type I diabetes. J Am Soc Nephrol. 2014;25(10):2177‐2186. doi: 10.1681/ASN.2013070758 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Torregrosa I, Montoliu C, Urios A, et al. Urinary KIM‐1, NGAL and L‐FABP for the diagnosis of AKI in patients with acute coronary syndrome or heart failure undergoing coronary angiography. Heart Vessels. 2015;30(6):703‐711. doi: 10.1007/s00380-014-0538-z [DOI] [PubMed] [Google Scholar]
  • 36. Yeh HM, Lin TT, Yeh CF, et al. Biomarkers and echocardiography for evaluating the improvement of the ventricular diastolic function after surgical relief of hydronephrosis. PLoS One. 2017;12(11):e0188597. doi: 10.1371/journal.pone.0188597 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Buonafine M, Martinez‐Martinez E, Jaisser F. More than a simple biomarker: the role of NGAL in cardiovascular and renal diseases. Clin Sci (Lond). 2018;132(9):909‐923. doi: 10.1042/CS20171592 [DOI] [PubMed] [Google Scholar]
  • 38. Bolignano D, Lacquaniti A, Coppolino G, et al. Neutrophil gelatinase‐associated lipocalin (NGAL) and progression of chronic kidney disease. Clin J Am Soc Nephrol. 2009;4(2):337‐344. doi: 10.2215/CJN.03530708 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Palazzuoli A, Ruocco G, Pellegrini M, et al. Patients with cardiorenal syndrome revealed increased neurohormonal activity, tubular and myocardial damage compared to heart failure patients with preserved renal function. Cardiorenal Med. 2014;4(3–4):257‐268. doi: 10.1159/000368375 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.(a) Palazzuoli A, Ruocco G, Beltrami M, et al. Admission plasma neutrophil gelatinase associated lipocalin (NGAL) predicts worsening renal function during hospitalization and post discharge outcome in patients with acute heart failure. Acute Card Care. 2014;16(3):93‐101. doi: 10.3109/17482941.2014.911915 [DOI] [PubMed] [Google Scholar]; (b) Chen C, Yang X, Lei Y, et al. Urinary biomarkers at the time of AKI diagnosis as predictors of progression of AKI among patients with acute cardiorenal syndrome. Clin J Am Soc Nephrol. 2016;11(9):1536‐1544. doi: 10.2215/CJN.00910116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Hishikari K, Hikita H, Nakamura S, et al. Urinary liver‐type fatty acid‐binding protein level as a predictive biomarker of acute kidney injury in patients with acute decompensated heart failure. Cardiorenal Med. 2017;7(4):267‐275. doi: 10.1159/000476002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Matsui K, Kamijo‐Ikemori A, Imai N, et al. Clinical significance of urinary liver‐type fatty acid‐binding protein as a predictor of ESRD and CVD in patients with CKD. Clin Exp Nephrol. 2016;20(2):195‐203. doi: 10.1007/s10157-015-1144-9 [DOI] [PubMed] [Google Scholar]
  • 43. Mullens W, Damman K, Testani JM, et al. Evaluation of kidney function throughout the heart failure trajectory ‐ a position statement from the heart failure Association of the European Society of Cardiology. Eur J Heart Fail. 2020;22(4):584‐603. doi: 10.1002/ejhf.1697 [DOI] [PubMed] [Google Scholar]
  • 44. Omar AS, Mahmoud K, Hanoura S, et al. Acute kidney injury induces high‐sensitivity troponin measurement changes after cardiac surgery. BMC Anesthesiol. 2017;17(1):15. doi: 10.1186/s12871-017-0307-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Cruz DN, Fard A, Clementi A, Ronco C, Maisel A. Role of biomarkers in the diagnosis and management of cardio‐renal syndromes. Semin Nephrol. 2012;32(1):79‐92. doi: 10.1016/j.semnephrol.2011.11.011 [DOI] [PubMed] [Google Scholar]
  • 46. Palazzuoli A, Masson S, Ronco C, Maisel A. Clinical relevance of biomarkers in heart failure and cardiorenal syndrome: the role of natriuretic peptides and troponin. Heart Fail Rev. 2014;19(2):267‐284. doi: 10.1007/s10741-013-9391-x [DOI] [PubMed] [Google Scholar]
  • 47. Seo SM, Kim SH, Kim Y, Yoon HE, Shin SJ. Prognostic utility of soluble suppression of tumorigenicity 2 level as a predictor of clinical outcomes in incident hemodialysis patients. Int J Med Sci. 2018;15(7):730‐737. doi: 10.7150/ijms.23638 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Gouya G, Sturm G, Lamina C, et al. The association of mid‐regional pro‐adrenomedullin and mid‐regional pro‐atrial natriuretic peptide with mortality in an incident dialysis cohort. PLoS One. 2011;6(3):e17803. doi: 10.1371/journal.pone.0017803 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Fenske W, Wanner C, Allolio B, et al. German diabetes, dialysis study investigators. Copeptin levels associate with cardiovascular events in patients with ESRD and type 2 diabetes mellitus. J Am Soc Nephrol. 2011;22(4):782‐790. doi: 10.1681/ASN.2010070691 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Mueller T, Gegenhuber A, Leitner I, Poelz W, Haltmayer M, Dieplinger B. Diagnostic and prognostic accuracy of galectin‐3 and soluble ST2 for acute heart failure. Clin Chim Acta. 2016;463:158‐164. doi: 10.1016/j.cca.2016.10.034 [DOI] [PubMed] [Google Scholar]
  • 51. Mentz RJ, Stevens SR, DeVore AD, et al. Decongestion strategies and renin‐angiotensin‐aldosterone system activation in acute heart failure. JACC Heart Fail. 2015;3(2):97‐107. doi: 10.1016/j.jchf.2014.09.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Ortega‐Hernández J, Springall R, Sánchez‐Muñoz F, Arana‐Martinez JC, González‐Pacheco H, Bojalil R. Acute coronary syndrome and acute kidney injury: role of inflammation in worsening renal function. BMC Cardiovasc Disord. 2017;17(1):202. doi: 10.1186/s12872-017-0640-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Metra M, Davison B, Bettari L, et al. Is worsening renal function an ominous prognostic sign in patients with acute heart failure? The role of congestion and its interaction with renal function. Circ Heart Fail. 2012;5(1):54‐62. doi: 10.1161/CIRCHEARTFAILURE.111.963413 [DOI] [PubMed] [Google Scholar]
  • 54. Metra M, Cotter G, Senger S, et al. Prognostic significance of creatinine increases during an acute heart failure admission in patients with and without residual congestion: a post hoc analysis of the PROTECT data. Circ Heart Fail. 2018;11(5):e004644. doi: 10.1161/CIRCHEARTFAILURE.117.004644 [DOI] [PubMed] [Google Scholar]
  • 55. Mullens W, Damman K, Harjola VP, et al. The use of diuretics in heart failure with congestion ‐ a position statement from the heart failure Association of the European Society of cardiology. Eur J Heart Fail. 2019;21(2):137‐155. doi: 10.1002/ejhf.1369 [DOI] [PubMed] [Google Scholar]
  • 56. Testani JM, Chen J, McCauley BD, Kimmel SE, Shannon RP. Potential effects of aggressive decongestion during the treatment of decompensated heart failure on renal function and survival. Circulation. 2010;122(3):265‐272. doi: 10.1161/CIRCULATIONAHA.109.933275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Brater DC. Pharmacology of diuretics. Am J Med Sci. 2000;319(1):38‐50. doi: 10.1097/00000441-200001000-00004 [DOI] [PubMed] [Google Scholar]
  • 58. Ljungman S, Kjekshus J, Swedberg K. Renal function in severe congestive heart failure during treatment with enalapril (the cooperative north Scandinavian Enalapril survival study [CONSENSUS] trial). Am J Cardiol. 1992;70(4):479‐487. doi: 10.1016/0002-9149(92)91194-9 [DOI] [PubMed] [Google Scholar]
  • 59. Ahmed A, Fonarow GC, Zhang Y, et al. Renin‐angiotensin inhibition in systolic heart failure and chronic kidney disease. Am J Med. 2012;125(4):399‐410. doi: 10.1016/j.amjmed.2011.10.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Vardeny O, Claggett B, Kachadourian J, et al. Reduced loop diuretic use in patients taking sacubitril/valsartan compared with enalapril: the PARADIGM‐HF trial. Eur J Heart Fail. 2019;21(3):337‐341. doi: 10.1002/ejhf.1402 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Rossignol P, Cleland JG, Bhandari S, et al. Determinants and consequences of renal function variations with aldosterone blocker therapy in heart failure patients after myocardial infarction: insights from the Eplerenone post‐acute myocardial infarction heart failure efficacy and survival study. Circulation. 2012;125(2):271‐279. doi: 10.1161/CIRCULATIONAHA.111.028282 [DOI] [PubMed] [Google Scholar]
  • 62. Wanner C, Inzucchi SE, Lachin JM, et al. Empagliflozin and progression of kidney disease in type 2 diabetes. N Engl J Med. 2016;375(4):323‐334. doi: 10.1056/NEJMoa1515920 [DOI] [PubMed] [Google Scholar]
  • 63. Perkovic V, Jardine M, Vijapurkar U, Meininger G. Renal effects of canagliflozin in type 2 diabetes mellitus. Curr Med Res Opin. 2015;31(12):2219‐2231. doi: 10.1185/03007995.2015.1092128 [DOI] [PubMed] [Google Scholar]
  • 64. Gilbert RE. Sodium‐glucose linked transporter‐2 inhibitors: potential for renoprotection beyond blood glucose lowering? Kidney Int. 2014;86(4):693‐700. doi: 10.1038/ki.2013.451 [DOI] [PubMed] [Google Scholar]
  • 65. Koomans HA, Blankestijn PJ, Joles JA. Sympathetic hyperactivity in chronic renal failure: a wake‐up call. J Am Soc Nephrol. 2004;15(3):524‐537. doi: 10.1097/01.asn.0000113320.57127.b9 [DOI] [PubMed] [Google Scholar]
  • 66. Schmieder RE, Delles C, Mimran A, Fauvel JP, Ruilope LM. Impact of telmisartan versus ramipril on renal endothelial function in patients with hypertension and type 2 diabetes. Diabetes Care. 2007;30(6):1351‐1356. doi: 10.2337/dc06-1551 [DOI] [PubMed] [Google Scholar]
  • 67. Pun PH, Lehrich RW, Smith SR, Middleton JP. Predictors of survival after cardiac arrest in outpatient hemodialysis clinics. Clin J Am Soc Nephrol. 2007;2(3):491‐500. doi: 10.2215/CJN.02360706 [DOI] [PubMed] [Google Scholar]
  • 68. Yang CC, Chen YT, Chen CH, et al. The therapeutic impact of entresto on protecting against cardiorenal syndrome‐associated renal damage in rats on high protein diet. Biomed Pharmacother. 2019;116:108954. doi: 10.1016/j.biopha.2019.108954 [DOI] [PubMed] [Google Scholar]
  • 69. Packer M, Anker SD, Butler J, et al. Cardiovascular and renal outcomes with empagliflozin in heart failure. N Engl J Med. 2020;383(15):1413‐1424. doi: 10.1056/NEJMoa2022190 [DOI] [PubMed] [Google Scholar]
  • 70. Heerspink HJL, Stefánsson BV, Correa‐Rotter R, et al. Dapagliflozin in patients with chronic kidney disease. N Engl J Med. 2020;383(15):1436‐1446. doi: 10.1056/NEJMoa2024816 [DOI] [PubMed] [Google Scholar]
  • 71. Nangaku M. More reasons to use SGLT2 inhibitors: EMPEROR‐reduced and DAPA‐CKD. Kidney Int. 2020;98(6):1387‐1389. doi: 10.1016/j.kint.2020.10.002 [DOI] [PubMed] [Google Scholar]
  • 72. Canaud B, Morena M, Leray‐Moragues H, Chalabi L, Cristol JP. Overview of clinical studies in hemodiafiltration: what do we need now ? Hemodial Int. 2006;10(suppl 1):S5‐S12. doi: 10.1111/j.1542-4758.2006.01183.x [DOI] [PubMed] [Google Scholar]
  • 73. Srisawat N, Hoste EE, Kellum JA. Modern classification of acute kidney injury. Blood Purif. 2010;29(3):300‐307. doi: 10.1159/000280099 [DOI] [PubMed] [Google Scholar]
  • 74. Rivers E, Nguyen B, Havstad S, et al. Early goal‐directed therapy collaborative group. Early goal‐directed therapy in the treatment of severe sepsis and septic shock. N Engl J Med. 2001;345(19):1368‐1377. doi: 10.1056/NEJMoa010307 [DOI] [PubMed] [Google Scholar]
  • 75.(a) Joannidis M. Continuous renal replacement therapy in sepsis and multisystem organ failure. Semin Dial. 2009;22(2):160‐164. doi: 10.1111/j.1525-139X.2008.00552.x [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.


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