Unstructured Abstract
Albuminuria, or increased urine albumin excretion, is associated with cardiovascular mortality among patients with diabetes, hypertension, chronic kidney disease, and heart failure, as well as among adults with few cardiovascular risk factors. Many authors have hypothesized that albuminuria reflects widespread endothelial dysfunction, but additional work is needed to uncover if albuminuria is directly pathologic or causative of cardiovascular disease. Urinary albumin-to-creatinine ratio is an attractive, unifying biomarker of cardiovascular, kidney, and metabolic conditions that may be useful for identifying and monitoring disease trajectory. However, albuminuria may develop via unique mechanisms across these distinct clinical phenotypes. This state-of-the-art review discusses the role of albuminuria in cardiovascular, kidney, and metabolic conditions and identifies potential pathways linking albuminuria to adverse outcomes and provides practical approaches to screening and managing albuminuria for clinical Cardiologists. Future research is needed to determine how broadly and how frequently to screen patients for albuminuria, whether it is cost-effective to treat low-grade albuminuria (10-30 mg/g), and how to equitably offer newer anti-proteinuric therapies across the spectrum of cardiovascular-kidney-metabolic diseases.
Keywords: albuminuria, chronic kidney disease, cardiovascular disease, metabolic syndrome
Introduction
Cardiovascular disease (CVD) is the leading cause of death worldwide, and scalable, non-invasive biomarkers for CVD are a growing area of research interest.1 Ideally, a CVD biomarker would accurately identify high-risk individuals, convey prognostic value, and allow early intervention in the disease course. Increased urinary albumin excretion is a known CVD risk factor among patients with diabetes, hypertension, chronic kidney disease (CKD), coronary artery disease, and heart failure,2 and may even convey risk among those with few CVD risk factors.3–5 Albuminuria is also a strong determinant of CKD progression in patients with and without metabolic diseases.6 Therefore, urinary albumin-to-creatinine ratio (UACR) is an attractive, unifying biomarker of cardiovascular, kidney, and metabolic conditions that may be useful for identifying and monitoring disease trajectory. The dose-response relationship between UACR and cardiovascular outcomes make this biomarker particularly relevant to Cardiology clinical practice.7–9
This narrative, state-of-the-art review discusses the role of albuminuria in cardiovascular, kidney, and metabolic conditions and identifies potential pathways linking albuminuria to adverse cardiovascular outcomes. This review highlights the importance of testing for albuminuria in cardiovascular practice and provides suggestions for evidence-based treatment initiation in patients with cardiovascular, kidney, and metabolic disorders.
Measurement, classification, and etiology of albuminuria
In clinical practice, spot urine albumin is quantified using a fluorescent immunoassay or liquid chromatography and spot urine creatinine is measured using a standardized enzymatic method or the Jaffe reaction.10 While 24-hour urine collection is preferred, spot urinary albumin-to-creatinine ratio (UACR) is suitable for most clinical scenarios, so long as the assumption that an individual excretes ~1000 mg/day of creatinine holds.11 These quantitative methods are strongly preferred to urine dipstick analysis, which has low sensitivity and detects only advanced albuminuria (typically ≥300 mg/g).12 The value of dipstick proteinuria analysis is in the widespread availability and affordability that may increase screening in resource-constrained settings. However, where possible, quantitative methods are preferred (Table 1).
Table 1.
Methods to measure albuminuria
| Method | Advantages | Disadvantages |
|---|---|---|
| Dipstick | Low cost Point-of-care testing |
Low sensitivity Semi-quantitative Does not evaluate low levels of albuminuria well and thus only detects advanced disease |
| Spot ASG (mg/L) | Lower cost due to reliance on urine specific gravity and not creatinine concentration | Specific gravity may be impacted by external factors Lower accuracy with very dilute or very concentrated urine |
| Spot ACR (mg/g) † | Convenient for patients High sensitivity High specificity |
More costly than dipstick May be impacted by diurnal variation in albumin excretion |
| First morning void ACR (mg/g) † | High sensitivity High specificity May be more closely correlated to 24h AER than spot ACR |
Less convenient for patients than random spot ACR |
| 24h AER (mg/hr) | High specificity High sensitivity Not impacted by diurnal variation in albumin excretion |
Time consuming Cumbersome for patients Incomplete collections have low utility |
Depending on the laboratory, the methods for quantifying urine creatinine may vary (e.g., Jaffe vs. enzymatic) and impact the reliability of results.
Abbreviations: ACR, albumin-creatinine ratio; AER, albumin excretion rate; ASG, albumin adjusted for specific gravity.
Under normal physiologic conditions, up to several grams of albumin may be filtered and reabsorbed by the early proximal tubule (either intact or following catabolism), though the precise glomerular sieving coefficient is debated (Figure 1).13–15 Protein that is excreted into the urine can be benign or pathologic.11 Transient causes of proteinuria include fever, orthostatic proteinuria, urinary tract infection, pregnancy, or vigorous exercise. Transient proteinuria can also be seen in patients with severe hypertension, poor glycemic control, and severe hyperlipidemia.11 Persistent proteinuria is pathologic and may be tubular (albumin and non-albumin protein) or glomerular (albumin-predominant) in etiology.11 16,17,18Glomerular proteinuria results from foot process effacement, glomerular basement membrane injury, or increased glomerular hydrostatic pressure that disrupts selective glomerular ultrafiltration.16 Albuminuria may be detectable in kidney disease before a decline in glomerular filtration rate (GFR).17
Figure 1: Pathophysiology of albuminuria.

Mechanisms of albuminuria include both loss of the glomerular basement membrane integrity and impaired proximal tubular albumin reabsorption. Created in https://BioRender.com/
Current clinical practice guidelines classify a UACR measurement of <30 mg/g (<3.4 mg/mmol) as ‘normal to minimally increased’, 30-300 mg/g (3.4-34 mg/mmol) as ‘moderately increased,’ and ≥300 mg/g (34 mg/mmol) as ‘severely increased.’18 Albuminuria above 3.0-3.5 g/day is considered ‘nephrotic range’. However, it is well recognized that a continuous relationship exists between increasing albuminuria and adverse clinical outcomes that begins far below the traditional ‘microalbuminuria’ threshold (<30 mg/g).4–6,19,20 Prior authors have articulated issues with the current albuminuria classification system, principally the over-emphasis on thresholds.21,22 The false dichotomization between ‘normal’ and ‘abnormal’ UACR at 30 mg/g obscures risk and may predispose clinicians to overlook opportunities for cardiorenal risk reduction. A new framework which incorporates the continuous relationship may improve clinical management of albuminuria, though multiple additional knowledge gaps remain (Table 2).
Table 2.
Knowledge Gaps
| Diagnosis | - Should the general population be screened for albuminuria? - Is 30 mg/g still an appropriate threshold for diagnosing CKD given the associations between ACR <30 mg/g and adverse clinical outcomes? |
| Variability | - What are the cause(s) of intra-individual variability in repeated measurements of albuminuria? - What degree of variability is seen between repeat albuminuria measurements among patients without diabetes? |
| Monitoring | - How frequently should albuminuria be reassessed? Should the frequency of reassessment be different according to different clinical characteristics? - In patients with albuminuria, what degree of albuminuria reduction in response to treatment is sufficient? - Is there a % reduction or absolute threshold that should be the treatment target? - What degree of fluctuation between repeat collections should prompt additional diagnostic evaluation? |
| Treatment | - At what threshold of albuminuria should anti-proteinuric therapies be initiated? |
| Prognosis | - What is the relative contribution of albuminuria reduction to improved cardiovascular outcomes with anti-proteinuric therapies (versus other cardio-protective effects of these medications)? - Is initiation of anti-proteinuric therapy at ACR <30 mg/g associated with improved cardiovascular or kidney outcomes? - Is albuminuria reduction associated with decreased incidence of ASCVD in patients without additional pre-existing risk factors? - Is it cost-effective to treat ACR <30 mg/g? |
One of the pitfalls of measuring albuminuria is the day-to-day variability in an individual’s urinary albumin excretion.23,24 Therefore, repeat quantitative measurements are required for confirmation.23 This is especially true in diabetes-associated CKD, where a repeated measurement of UACR can vary from 25% to 375% of the initial value,24 though this variation may also be seen in other forms of CKD.23
Clinical Phenotypes and Mechanisms Associated with Albuminuria
There are multiple mechanisms by which albuminuria can develop. These phenotypes of albuminuria and proposed mechanisms are summarized in Figure 2. In many patients, however, there may be overlapping or concomitant mechanisms by which albuminuria develops.
Figure 2: Clinical phenotypes and mechanisms of albuminuria.

Albuminuria may arise as a consequence of chronic kidney disease, heart failure, atherosclerotic cardiovascular disease, hypertension, or metabolic syndrome. These mechanisms converge on a final common pathway of kidney dysfunction and increase risk for adverse cardio-renal events. Created in https://BioRender.com/
In patients with CKD, podocyte foot process effacement leads to insufficient counterpressure and relaxation of the glomerular basement membrane (GBM) fiber matrix.25,26 This causes increased glomerular capillary wall permeability and results in albuminuria. As glomerular disease progresses, the subpodocyte space may widen to cover a greater proportion of the filtration membrane and modulate filtration barrier permeability.27 Expansion of the subpodocyte space and an increase in hydraulic resistance can lead to further podocyte detachment and worsening albuminuria.27 Alternatively, or concurrently, albuminuria can arise from impaired albumin reabsorption in the proximal tubule.13,28
In patients with hypertension, increased intraglomerular pressure causes glomerular hyperfiltration and hyperpermeability, while ongoing intraglomerular capillary endothelial damage can result in capillary albumin leak.29,30 In one study, patients with albuminuria demonstrated normal tubular albumin reabsorption, indicating that hypertension increases glomerular albuminuria.31
In patients with heart failure, elevated central venous pressure can cause low renal perfusion pressure,32,33 chronic tubulointerstitial damage,34–36 or renal congestion,35 any of which may precipitate albuminuria. Volume overload also increases release of natriuretic peptides, which may cause damage to the endothelial glycocalyx,37 though this is debated,38 and result in albuminuria.36 Aldosterone escape in heart failure leads to sodium and water retention, as well as kidney fibrosis.39 More broadly, increased aldosterone levels are associated with increased albuminuria.40–43 Finally, high intraglomerular pressure increases transcapillary flux of the ultrafiltrate and results in albuminuria.44
In patients with atherosclerotic cardiovascular disease, albuminuria can develop secondary to endothelial inflammation and endothelial dysfunction.45,46 Endothelial disturbances are common in sustained atherogenic states and dyslipidemia. Albuminuria is associated with loss of the endothelial glycocalyx,47 dynamic vascular elasticity,48–50 perfusion,51,52 and serologic markers of vascular health (such as nitric oxide and von Willebrand factor).53,54 In one study, the authors argue that increased lipid infiltration of vascular structures increases glomerular transcapillary albumin leak.45 Other common disturbances in atherosclerotic disease include reduced nitric oxide bioavailability, which promotes arterial stiffness and impaired vasodilation.55
In patients with diabetes, many of whom also have metabolic syndrome, albuminuria may develop secondary to either alterations to glomerular charge selectivity or impaired proximal tubular albumin reabsorption.56 Change in GBM size selectivity does not appear to be a contributing factor.56 The Steno hypothesis argues that albuminuria is a consequence of global intima damage due to alterations in the extracellular matrix.57,58 Serum albumin glycosylation is likely one mechanism by which albumin is able bypass GBM charge selectivity in diabetes.59 Alterations to GBM proteoglycans also disrupt charge selectivity.59,60 Insulin resistance can lead to endothelial dysfunction, while impaired vasodilation in the setting of reduced nitric oxide further impairs renal autoregulation.55,61 Global alterations to the endothelium, as measured by von Willebrand factor, may precede albuminuria in diabetes.62
Albuminuria is a Risk Factor for Cardiovascular Disease
Albuminuria is strongly associated with CVD mortality7,20,63,64 and all-cause mortality in diverse populations.7–9 Similarly, albuminuria is longitudinally associated with major cardiovascular complications such as nonfatal myocardial infarction, nonfatal stroke, coronary revascularization, peripheral artery revascularization.7,64–66 Albuminuria has also been identified as an independent risk factor for stroke and other cerebrovascular diseases.67–69
Multiple authors have described associations between albuminuria and CVD risk factors. For example, albuminuria has been associated with left-ventricular hypertrophy,49,70,71 vascular stiffness and remodeling,49,50,52,72,73 progression of coronary artery calcification.74 Each of these conditions confers a high risk of CVD events and demonstrates the likely systemic vascular pathology associated with albuminuria.
Perhaps the most well-described relationships between albuminuria and CVD are in the context of heart failure.44 Approximately 32% of U.S. adults with heart failure have albuminuria ≥30 mg/g.75 Albuminuria is not only associated with greater risk of incident heart failure76 and diastolic dysfunction,70 but also confers risk of worsening CVD in patients with pre-existing heart failure regardless of ejection fraction.77 Development of albuminuria is strongly associated with adverse outcomes such as increased hospitalizations for heart failure,64,78 systemic vascular congestion,34 and progressive systolic dysfunction.77 While albuminuria is known to improve risk stratification in heart failure, current heart failure society guidelines do not comment on the need for albuminuria screening in this population.79
In general, studies of albuminuria and CVD are performed in populations already at high cardiovascular risk and therefore offer limited insight into the mechanism behind the association of albuminuria and CVD mortality. Associations between albuminuria and incident hypertension80 and incident atrial fibrillation81,82 provide only slightly more evidence that interim development of additional CVD risk factors may contribute to the association with mortality, however, further work is needed.46 One hypothesis is that the presence of albuminuria represents a systemic micro-inflammatory state characterized by diffuse endothelial dysfunction. This is supported by an association between albuminuria and elevated cardiac troponin T in adults without known CVD.83
Low Levels of Albuminuria and CVD
Notably, albuminuria does not need to be high-grade to convey cardiovascular risk. One study found a linear association between low levels of albuminuria (UACR < 30 mg/g) and CVD mortality among adults without major cardiovascular risk factors.20 In this and several other recent papers, cardiovascular risk appears to increase at UACR approximately 7-10 mg/g.20,84,85 Low-grade albuminuria has been associated with adverse cardiovascular risk factors, including incident hypertension,63 heart failure,76 and coronary artery disease,19 as well as major adverse cardiovascular events4,5,7,65 and mortality.4,19,20 Data from the CKD Prognosis Consortium shows that low levels of albuminuria are associated with major adverse cardiovascular events in diverse populations with CKD.7
Albuminuria is a Risk Factor for Progressive Kidney Disease
While not all patients with CKD have albuminuria, increased urinary albumin excretion above 30 mg/g is one diagnostic criterion for CKD and albuminuria screening is standard component of the clinical CKD workup.18 However, lower levels of albuminuria are also a risk factor for incident CKD.86,87 In patients with CKD, albuminuria below 30 mg/g is linearly associated with increased risk of CKD progression and incident ESKD.6 Risk for CKD progression appears to increase at UACR approximately 7-10 mg/g. Greater albuminuria and changes in albuminuria are independently associated with CKD progression and end-stage kidney disease (ESKD) in patients with and without diabetes.7,88–90
Diabetes is the most common cause of CKD worldwide. Albuminuria is a common consequence of diabetes due to the sustained hyperglycemia, inflammation, and glomerular hyperfiltration that accompanies longstanding diabetes.91 Early studies of diabetes, kidney function, and UACR were limited by small sample sizes and lack of biopsy confirmation to determine whether changes consistent with DKD were present histologically.92 The classic trajectory of diabetic kidney disease (DKD) includes progressive albuminuria and eGFR decline. Greater albuminuria in DKD has been previously associated with increased risk of progressing to ESKD91 and a higher risk of adverse cardiovascular outcomes.93,94 Rising UACR may precede a decline in eGFR for patients with progressive DKD, making it a useful prognostic marker for patients with the ‘classical’ DKD phenotype.91 A subset of patients with diabetes exhibit non- or minimally albuminuric disease phenotypes and nonetheless experience progressive eGFR decline.91,95 An even smaller proportion of patients experience albuminuria regression and stabilization of kidney function. However, in one study, the risk for adverse CVD outcomes remained elevated in these patients.96 Patterns of albuminuria prevalence and trajectories vary between type 1 and type 2 diabetes.91 A greater proportion of patients with type 2 diabetes progress to diabetic nephropathy compared to those with type 1 diabetes.97 While patients with type 2 diabetes can frequently experience regression of albuminuria, patients with type 1 diabetes who develop CKD often exhibit progressive albuminuria over time.91.
Albuminuria and Metabolic-Associated Disorders
A major limitation of the existing literature on the relationship between metabolic syndrome, MASLD, dysglycemia, and albuminuria is the reliance on cross-sectional studies.98,99 Here we briefly outline the work examining albuminuria in the context of these metabolic-associated conditions, acknowledging the limitations.
Albuminuria and Obesity
Multiple measures of adiposity have been associated with albuminuria.100 Central obesity, specifically, may be a crucial risk factor for incident albuminuria independent of diabetes status.100–103 Obesity is an increasingly common etiology of secondary FSGS, which is characterized by significant proteinuria.104 Obesity-associated FSGS typically involves an indolent course followed by progression to ESKD. It is hypothesized that increased oxidative stress, generalized inflammation, chronic glomerular hypoxia, and insulin resistance in obesity lead to the histologic changes in obesity-associated FSGS.104 In patients with obesity, elevated intra-renal resistance on doppler ultrasound is associated with albuminuria, suggesting a possible mechanistic link between adiposity and the development of CKD and CVD events.105–107 However, this cross-sectional evidence precludes any conclusions about causal pathways.
Albuminuria and Metabolic Dysfunction Associated Steatotic Liver Disease
Metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with albuminuria in epidemiologic studies and is a prominent CVD risk factor. Several studies have found an association between MASLD and albuminuria,108,109 with one study noting that the association was independent of insulin resistance or obesity.110 Albuminuria below 30 mg/g may also be a risk factor for developing MASLD, as shown in one prospective, population-based study of Chinese adults.111 In this study, risk appeared to increase at UACR around 2.5 mg/g. While the pathophysiology of how albuminuria may lead to steatotic liver disease – and the reverse -- are not clear, the epidemiologic association may be driven by a generalized state of endothelial inflammation or the incident development of obesity.
Albuminuria and Insulin Resistance
Insulin resistance – a key risk factor for metabolic syndrome, diabetes, MASLD, and CVD – is closely associated with albuminuria in patients without diabetes,98,112 as well as those with prediabetes.99 In patients without diabetes, insulin resistance and elevated glomerular hydrostatic pressure were cross-sectionally associated with albuminuria.98 Longitudinally, elevated baseline HOMA-IR in adults without diabetes was associated with subsequent development of albuminuria.112 Inflammatory or oxidative pathways may mediate the relationship between dysglycemia and albuminuria, though this hypothesis has yet to be explored.
Albuminuria Reduction and Cardiovascular-Kidney Outcomes
It is well described that CKD increases the risk of incident CVD events and CVD events increase the risk of CKD progression.113,114 Cardio-kidney protective medications with antiproteinuric effects reduce incident CVD events and CVD mortality in high-risk populations, likely due to multifactorial pathways and mechanisms not directly related to albuminuria reduction.115,116 These therapies include angiotensin-converting enzyme inhibitors (ACEi) and angiotensin-receptor-blockers (ARB), sodium-glucose co-transporter 2 inhibitors (SGLT2i), glucagon-like peptide 1 receptor agonists (GLP1-RA), and mineralocorticoid receptor antagonists (MRA). Importantly, the more recent cardiovascular and kidney trials on SGLT2i, GLP1-RA, and non-steroidal MRA demonstrate benefit among patients already treated with maximal ACEi/ARB. The additive benefit of these therapies has the potential to improve global cardiovascular outcomes, with the greatest evidence to date among patients with type 2 diabetes.117 Table 3 highlights recent cardiovascular trials which enrolled based on albuminuria, similar to other risk factor-based enrollment criteria (e.g., diabetes, prior CVD).
Table 3.
Cardiovascular outcomes trials enrolling based on albuminuria.
| Eligibility | Intervention | Outcomes | |
|---|---|---|---|
| Specific ACR enrollment criteria | |||
| CREDENCE | - eGFR 30-90 ml/min per 1.73m2 and ACR 300-500 mg/g | Canagliflozin | - Doubling of SCr - ESKD - Death from kidney disease or CVD |
| DAPA-CKD | - eGFR 25-75 ml/min per 1.73m2 and ACR 200-5000 mg/g | Dapagliflozin | - eGFR decline >50% - ESKD - Death from kidney disease or CVD |
| EMPA-KIDNEY | - eGFR 20-45 ml/min per 1.73m2 - eGFR 45-90 ml/min per 1.73m2 and ACR ≥200 mg/g |
Empagliflozin | - eGFR decline ≥40% - ESKD - eGFR decline to <10 - Death from CVD |
| FIDELIO-DKD | - eGFR 25-60 ml/min per 1.73m2 and retinopathy - eGFR 25-75 ml/min per 1.73m2 and ACR 300-5000 mg/g - ACR 30-300 mg/g |
Finerenone | - eGFR decline ≥40% - ESKD - Death from kidney disease |
| FIGARO-DKD | - eGFR 25-90 ml/min per 1.73m2 and ACR 30-300 mg/g - eGFR >60 ml/min per 1.73m2 and ACR 300-5000 mg/g |
Finerenone | - Death from CVD, nonfatal MI, nonfatal stroke, or hospitalization for heart failure |
| FLOW | - eGFR 50-75 ml/min per 1.73m2 and ACR 300-5000 mg/g - eGFR 25-50 ml/min per 1.73m2 and ACR 100-5000 mg/g |
Semaglutide | - eGFR decline >50% - ESKD - Death from kidney disease or CVD |
| Non-specific proteinuria enrollment criteria | |||
| CANVAS and CANVAS-R | - Age >40 years and prior CVD - Age >50 and CVD risk factors (incl. microalbuminuria or proteinuria) |
Canagliflozin | - Death from CVD, nonfatal MI, or nonfatal stroke |
| SCORED | - eGFR 25-60 ml/min per 1.73m2 - Age >18 and at least 1 major CVD risk factor - Age >55 and at least 2 minor CVD risk factors (incl. ACR 30-300 mg/g) |
Sotagliflozin | - Death from CVD, hospitalization for heart failure, urgent visits for heart failure. |
| LEADER | - Patients >50 years with CVD comorbidities - Patients >60 years with CVD risk factors (incl. microalbuminuria or proteinuria) |
Liraglutide | - Death from CVD, non-fatal MI, or nonfatal stroke |
| PIONEER-6 | - Patients >50 years with major CVD risk factors - Patients >60 years with minor CVD risk factors (incl. microalbuminuria or proteinuria) |
Semaglutide | - Death from CVD, nonfatal MI, or nonfatal stroke |
Abbreviations: ACR, albumin:creatinine ratio; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; ESKD, end-stage kidney disease; MI, myocardial infarction; SCr, serum creatinine.
The mechanisms by which cardio-kidney protective and antiproteinuric therapies provide CVD benefit are only partially understood. ACEi/ARB and angiotensin-receptor/neprilysin inhibitors (ARNI) improve cardiac remodeling following myocardial infarction.118,119 Similarly, steroidal MRA, which have antiproteinuric effects, have been used for decades to improve CVD outcomes in patients with heart failure with reduced ejection fraction and new data show benefit of non-steroidal MRA in these patients with preserved ejection fraction.120 The CVD protective effects of SGLT2i may be driven primarily by a reduction in hospitalization for heart failure,121 while the benefits of GLP1-RA appear to be more broadly cardioprotective in the setting of obesity.122 Both SGLT2i and GLP1-RA may act on metabolic pathways and can be used for cardiovascular benefit across a range of metabolic and cardiovascular conditions. It is important to note that none of these medications were initially developed for their cardioprotective effects, and the precise mechanism by which they improve CVD outcomes remains an active area of investigation.
Albuminuria reduction is also associated with a slower rate of CKD progression and a lower likelihood of progression to ESKD. Residual albuminuria following anti-proteinuric treatment is a very strong risk factor for disease progression.123 The initial clinical trials of ACEi and ARBs made these therapies the cornerstone of CKD care for the next 20 years.124,125 Recent evidence demonstrates improved kidney outcomes following treatment with SGLT2i,126 GLP1-RA, 127 and non-steroidal MRAs on a background of ACEi/ARB.128 The data on steroidal MRAs and clinical kidney outcomes are less well established due to lack of randomized clinical trial data, though epidemiologic literature suggests some benefit.128,129
The benefits of newer antiproteinuric medications in slowing CKD progression are multifactorial and likely extend beyond albuminuria reduction alone, particularly as non-albuminuric patients also derive benefit.130 While other authors have pointed to post-hoc analyses of recent cardiovascular and kidney trials as exhibiting effect modification by baseline UACR, the p-values for interaction are non-significant in all but one trial (Table 4). Furthermore, these trials enrolled few patients with low levels of albuminuria and therefore subgroup analyses were underpowered.
Table 4.
Post-hoc analyses of cardiovascular and kidney trials, stratified by UACR
| Trial | Intervention | Outcome | p-interaction | Event Rates in Control | Event Rates in Treatment | Effect Estimates for Study Drug HR (95% CI) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| <30 mg/g | 30-300 mg/g | ≥300 mg/g | <30 mg/g | 30-300 mg/g | ≥300 mg/g | <30 mg/g | 30-300 mg/g | ≥300 mg/g | ||||
| FIGARO-DKD | Finerenone vs. Placebo | CV death, nonfatal MI, nonfatal stroke, or HHF | 0.60 | NA | 4.42 per 100 py | 4.49 per 100 py | NA | 3.88 per 100 py | 3.94 per 100 py | NA | 0.87 (0.73-1.04) | 0.90 (0.75-1.08) |
| Composite kidney outcome† | 0.02 | NA | 2.30 per 100 py | 5.02 per 100 py | NA | 2.63 per 100 py | 3.83 per 100 py | NA | 1.16 (0.91-1.47) | 0.74 (0.62-0.90) | ||
| FIDELIO-DKD | Finerenone vs. Placebo | Composite kidney outcome* | NR | 0/11 | 19/350 | 485/2470 | 2/12 | 20/335 | 578/2493 | -- | 0.92 (0.49-1.72) | 0.83 (0.73-0.93) |
| FIDELITY ¥ | Finerenone vs. Placebo | Composite kidney outcomeπ | 0.67 | 40/2023 | 424/4371 | 38/2076 | 321/4321 | 0.94 (0.60-1.47) | 0.75 0.65-0.87) | |||
| CANVAS and CANVAS-R | Canagliflozin vs. Placebo | Composite kidney outcome† | 0.37 | NR | NR | NR | NR | NR | NR | 0.50 (0.33-0.77) | 0.64 (0.47-0.88) | |
| EMPA-REG | Empagliflozin vs. Placebo | CV death, nonfatal MI, nonfatal stroke | 0.40 | 134/1382 | 90/675 | 58/260 | 241/2789 | 158/ 1338 | 86/509 | 0.89 (0.72-1.10) | 0.89 (0.69-1.16) | 0.69 (0.49-0.96) |
| EMPA-KIDNEY | Empagliflozin vs. Placebo | CV death or progression of kidney disease | NR | 42/663 | 78/937 | 438/1705 | 42/665 | 67/927 | 323/1712 | 1.01 (0.66-1.55) | 0.91 (0.65-1.26) | 0.67 (0.58-0.78) |
| EMPEROR-Pooled ‡ | Empagliflozin vs. Placebo | CV death or HHF | 0.71 | 8.2 per 100 py | 16.2 per 100 py | 22.2 per 100 py | 6.6 per 100 py | 11.8 per 100 py | 18.3 per 100 py | 0.80 (0.69-0.92) | 0.74 (0.63-0.86) | 0.78 (0.63-0.98) |
| DECLARE-TIMI 58 | Dapagliflozin vs. Placebo | CV death or HHF | 0.47 | 10.2 per 1000 py | 21.8 per 1000 py | 37.2 per 1000 py | 9.2 per 1000 py | 16.8 per 1000 py | 28.5 per 1000 py | 0.90 (0.75-1.08) | 0.76 (0.61-0.95) | 0.77 (0.55-1.06) |
| SCORED | Sotagliflozin vs. Placebo | CV death, HHF, urgent visits for HF | NR | 4.2 per 100 py | 9.4 per 100 py | 4.4 per 100 py | 6.3 per 100 py | 1.05 (0.76-1.46) | 0.67 (0.55-0.80) | |||
| LEADER | Liraglutide vs. Placebo | CV death, nonfatal MI, or nonfatal stroke | 0.36 | 335/2821 | 338/1738 | 318/ 2894 | 277/1684 | 0.92 (0.79-1.07) | 0.83 (0.71-0.97) | |||
| SUSTAIN 6 | Semaglutide vs. Placebo | CV death, nonfatal MI, or nonfatal stroke | 0.48 | 73/986 | 36/412 | 35/224 | 43/948 | 39/472 | 26/196 | 0.61 (0.42-0.89) | 0.87 (0.55-1.37) | 0.76 (0.46-1.28) |
| FLOW | Semaglutide vs. Placebo | Composite kidney outcome£ | NR | 62/552 | 348/1214 | 55/561 | 276/1205 | 0.86 (0.60-1.23) | 0.74 (0.63-0.87) | |||
| SELECT | Semaglutide vs. Placebo | Composite kidney outcome€ | 0.70 | 31/7471 | 67/941 | 95/166 | 24/7377 | 47/1027 | 80/159 | 0.78 (0.46,1.33) | 0.63 (0.44,0.92) | 0.77 (0.57, 1.03) |
| PARADIGM-HF | Sacubitril-Valsartan vs. Enalapril | CV death or HHF | 0.35 | 158/697 | 70/215 | 133/734 | 68/226 | 0.77 (0.61-0.97) | 0.94 (0.67-1.31) | |||
Includes kidney failure, sustained decreased of at least 40% in eGFR over at least 4 weeks, or death from renal causes.
Includes ≥40% reduction in eGFR, end-stage kidney disease, or death from renal causes.
FIDELITY is a combined analysis of FIGARO-DKD and FIDELIO-DKD
Includes ≥57% reduction in eGFR, end-stage kidney disease, or death from renal causes.
EMPEROR Pooled is a combined analysis of EMPEROR-Preserved and EMPEROR-Reduced
Includes kidney failure, sustained decrease of at least 50% in eGFR over at least 28 days, or death from renal or cardiovascular causes.
Includes death from kidney disease, initiation of chronic kidney replacement therapy, onset of persistent eGFR<15 ml/min/1.73m2, persistent ≥50% reduction in eGFR, or onset of persistent macroalbuminuria.
Abbreviations: CI, confidence interval; CV, cardiovascular; eGFR, estimated glomerular filtration rate; HF, heart failure; HHF, hospitalization for heart failure; HR, hazard ratio; MI, myocardial infarction; NA, not applicable; NR, not reported; py, person years.
Cardio-kidney protective medications have effects beyond their albuminuria reduction which may be important components of their effect on CKD outcomes. Both SGLT2i and GLP1-RA improve blood pressure control and induce weight loss, while MRAs provide aldosterone antagonism. With SGLT2i specifically, there is ongoing investigation into mechanisms related to tubuloglomerular feedback in reducing intraglomerular pressure, as well as anti-inflammatory131 and metabolic132 effects. GLP1-RA may offer renoprotection via reduced kidney inflammation and fibrosis,133 and results are awaited from the mechanistic REMODEL trial.134 Finally, new data has brought additional attention to the role of aldosterone antagonism in treating albuminuric CKD43,135 and preventing CVD events in these patients.136 Investigators are also pursuing a related approach, aldosterone synthase inhibition, to reduce CKD progression.137
Given the diversity of mechanism of action across cardio-kidney protective therapies with antiproteinuric effects, combination therapy using ACEi/ARB, SGLT2i, GLP1-RA, and MRA is an emerging area of research interest. While prior work of combination ACEi and ARB demonstrated reduced albuminuria without improving renal outcomes compared to monotherapy,138 this does not appear to be the case for combination treatment across the newer medication classes for diabetic kidney disease.117 In the FLOW trial, there was no evidence of effect modification for the composite kidney outcome based on background SGLT2i use,127 and in a meta-analysis of SGLT2i trials, there is no evidence of effect modification based on background GLP1-RA use.139 These findings provide preliminary evidence of independent effects of these two classes. Additional work has demonstrated additive benefit of ACEi/ARB and SGLT2i in non-diabetic kidney disease.140 Further work will be needed to assess any potential additive or synergistic benefits of ACEi/ARB, SGLT2i, GLP1-RA, and MRA and which patients should be considered for combination therapy.
As previously discussed, none of the more recent cardio-kidney protective drug classes were specifically designed for albuminuria reduction. Furthermore, current clinical trials do not assess whether improved outcomes are mediated by albuminuria reduction or whether albuminuria is instead a convenient biomarker of the yet undiscovered underlying mechanism. It is also important to recognize the heterogeneity in recent trials with respect to changes in albuminuria and clinical outcomes. This is especially true in the case of heart failure trials, where patients continue to exhibit kidney disease progression, or exhibit no renal benefit, despite improved CVD outcomes.141,142 This apparent therapeutic disconnect has been described for ARB, ARNI, SGLT2i, and non-steroidal MRA and is largely attributed to recruitment of patients with low background risk of CKD progression (e.g. those with lower albuminuria and less advanced CKD)141,143 or insufficient follow up time.141 Albuminuria data are also not routinely available in many previously cardiovascular trials.143 For example, the PARADIGM-HF trial (ARNI vs. ACEi) demonstrated worsening albuminuria in the ARNI group despite improvement in heart failure outcomes.144 This would seem to question the association between albuminuria reduction and improved CVD outcomes and suggest that the effects of ARNI are mediated by improved blood pressure and other cardiovascular intermediaries. However, the subsequent UK HARP III trial demonstrated no difference in kidney outcomes (and no worsening in albuminuria) among patients with CKD treated with ARNI versus ARB.145 Whether these differences are related to the study population – heart failure patients in PARADIGM-HF versus patients without heart failure in UK HARP III – is an important unanswered question. Other authors have hypothesized that physiologic differences in heart failure specifically underly the divergence in renal outcomes in trials of patients with heart failure versus CKD.141 A pooled analysis of Finerenone trials demonstrates cardiovascular and kidney benefit with non-steroidal MRA in a mixed heart failure and CKD population, suggesting that the limitations of present heart failure trial design may be responsible for reported lack of CKD benefit in these participants.146
Combination therapy is central to effective implementation of cardio-kidney protective therapies. Early, rapid sequence initiation and uptitration of these medications may prevent delays in care and limit therapeutic inertia.147 Patients on multi-drug therapy are most likely to achieve the greatest benefit, including longer event-free survival.117 Though not well studied with the SGLT2i or oral GLP1-RA, the hypertension literature demonstrates that multidrug combination pills decrease pill burden for patients and can improve medication adherence.148 Combination therapy may also reduce the need for ACEi/ARB and MRA discontinuation due to hyperkalemia. Given new data demonstrating that ACEi/ARB should not be pre-emptively stopped in advanced CKD due to worse cardiovascular outcomes,149,150 managing hyperkalemia with SGLT2i, loop diuretics, dietary modification, and potassium binders is essential to delivering high quality cardio-kidney care.151,152
Albuminuria as a biomarker of Cardiovascular-Kidney-Metabolic health
The American Heart Association (AHA) report on Cardiovascular-Kidney-Metabolic (CKM) syndrome highlights the importance of albuminuria in CKD and heart failure. However, the authors defer recommending albuminuria screening until the later stages of CKM syndrome when impaired eGFR is already present.116 Given the evidence described in this review, it may be prudent for clinicians to consider screening for albuminuria using a broader definition of risk than the CKM framework.153 This could range from screening the general population (a strategy currently under evaluation by the United States Preventative Task Force Service for CKD surveillance)154 to a risk-based approach incorporating obesity, liver disease, insulin resistance, and behavioral features (low physical activity, smoking, etc.).
Albuminuria screening is guideline-recommended for high-risk populations such as those with diabetes, those with chronic kidney disease, those with hypertension, and those at high risk of clinical CVD or CKD (Table 5). Unfortunately, rates of albuminuria screening among currently indicated patient groups remain severely low.155–157 In the face of burgeoning treatments for CKD and preliminary cost-effectiveness analyses showing the benefits of screening,158 strategies to promote screening across a greater range of high-risk populations (e.g., hypertension, diabetes, CKD, atherosclerotic cardiovascular disease, heart failure, metabolic syndrome) are urgently needed.
Table 5.
Recent guidelines for albuminuria screening
| Society | Year | Patient Population(s) | Screening Recommendation |
|---|---|---|---|
| Kidney Disease Improving Global Outcomes | 2024 | Adults at risk for CKD, including hypertension, diabetes, cardiovascular disease, or those with genetic or environmental risk factors specific to region of residence. | First morning UACR is preferred. Confirm positive dipstick albuminuria with more accurate methods (such as UACR) |
| Patients with CKD | UACR at least annually; assess albuminuria more frequently in patients at higher risk for CKD progression. A doubling of albuminuria warrants evaluation. | ||
| American Heart Association Statement on Cardiovascular-Kidney-Metabolic Health | 2023 | Stage 2 CKM syndrome: patients with metabolic risk factors or CKD | UACR annually |
| Stage 3 CKM syndrome: patients with subclinical CVD in CKM syndrome | UACR at least annually, more frequently in those with CKD | ||
| Stage 4 CKM syndrome: patients with clinical CVD and excess or dysfunctional adiposity, other CKM risk factors, or CKD | UACR at least annually, more frequently in those with higher KDIGO risk | ||
| American Diabetes Association | 2023 | Patients without established diabetic kidney disease: - Type 1 diabetes duration of ≥5 years - All patients with type 2 diabetes |
Spot UACR annually |
| Patients with established diabetic kidney disease | Spot UACR 1-4 times per year | ||
| National Institute for Health and Care Excellence | 2021 | Patients at risk for CKD, including those with diabetes, hypertension, previous acute kidney injury, cardiovascular disease, structural renal tract disease, recurrent renal calculi, multisystem diseases with potential kidney involvement, gout, family history of kidney disease, incidental detection of hematuria or proteinuria | Spot UACR with frequency depending on underlying risk factors. Monitor for progression of CKD for at least 3 years after acute kidney injury even if eGFR returned to baseline. |
| Patients with diabetes | Annual UACR | ||
| European Society of Cardiology in collaboration with the European Association of Preventive Cardiology | 2021 | Patients with hypertension, diabetes, or CKD | Routine assessment of UACR (or dipstick urinary protein if ACR not available) |
| International Society of Hypertension | 2020 | Patients with hypertension | Routine assessment of spot UACR |
| Pregnant patients with hypertension | Dipstick followed by ACR if positive, twice in pregnancy (early and late) | ||
| European Society of Cardiology in collaboration with the European Association for the Study of Diabetes | 2019 | Patients with diabetes or at risk of developing diabetes or cardiovascular disease | “Routine assessment of microalbuminuria should be carried out to identify patients at risk of developing renal dysfunction and/or CVD.” |
| European Society of Cardiology and the European Society of Hypertension | 2018 | Patients with hypertension | Annual UACR |
| Pregnant patients with hypertension | Dipstick followed by ACR if positive, twice in pregnancy (early and late) |
Most patients eligible for albuminuria screening currently are managed in primary care offices, where competing demands, limited time, clinical complexity, and clinician lack of awareness to evolving guidelines may be barriers to screening.159 A 2014 study identified a major barrier to albuminuria screening for patients with non-diabetic CKD: the perception that it would not change management.160 Whether clinician attitudes have changed since introducing newer anti-proteinuric medications is unknown. Implementation and improvement scientists will be critical to increasing real-world screening rates by designing systematic, scalable, and adaptable interventions. Increased support for primary care clinicians and developing novel workflows may increase guideline-directed albuminuria screening and treatment implementation. Alternatively, some researchers have proposed that home-based, population-wide screening approaches may be more scalable, though potentially more costly to implement.161
Cardiovascular practices can improve the care of patients with CVD and those at risk for worsening CKM syndrome by incorporating routine albuminuria testing. Once identified, patients with albuminuria can be monitored more closely (Figure 3). The 2023 AHA Predicting Risk of Cardiovascular Events (PREVENT) cardiovascular risk calculator includes UACR for improved prediction of CVD events.162 Patients with elevated PREVENT scores are recommended for statin therapy, similar to the ASCVD risk calculator. In addition to providing valuable risk-stratification, UACR can also guide treatment intensification (Figure 3). There are ongoing efforts within Nephrology to implement rapid sequence uptitration of guideline-directed medical therapy for diabetic kidney disease, including ACEi/ARB, SGLT2i, GLP1-RA, and nsMRA, similar to the Cardiology approach to heart failure therapies.147 These same principles are directly applicable to cardiovascular clinical spaces for patients with CKM syndrome and CVD risk. Through appropriate UACR testing, cardiovascular practices will be at the forefront of detecting otherwise undiagnosed CKD through this approach. Patients can then be started on appropriate therapies based on their risk factor profile and/or referred to Nephrology, as appropriate.
Figure 3: Proposed algorithm for managing albuminuria in patients with known cardiovascular risk factors.

Simplified algorithm for evaluating and managing albuminuria in patients with known cardiovascular risk factors. Re-testing for albuminuria is critical to modifying cardiovascular risk. Created in https://BioRender.com/
Conclusion
In conclusion, albuminuria is a marker of widespread vascular dysfunction and subclinical cardiovascular risk that heralds evolving CKM dysfunction. As an inexpensive and non-invasive test, UACR provides a glimpse into the early development of CKM syndrome. Even low-grade albuminuria, below the traditional threshold of 30 mg/g, likely represents smoldering endothelial or vascular disease and carries substantial CVD and CKD risk. The literature on albuminuria as a CKM biomarker suggests that waiting for an eGFR decline to develop overlooks a key opportunity for disease prevention. Future research is needed to determine how broadly and how frequently to screen patients for albuminuria, whether it is cost-effective to treat low-grade albuminuria (for example, 10-30 mg/g), and how to equitably offer newer cardio-kidney protective therapies across the spectrum of CKM syndrome. Answering these questions may shift the clinical practice of cardiovascular risk reduction and improve population health.
Funding:
National Institutes of Health National Heart, Lung, and Blood Institute award R38HL143584 (SEC).
Abbreviations:
- ACEi
Angiotensin Converting Enzyme Inhibitor
- AHA
American Heart Association
- ARB
Angiotensin Receptor Blocker
- ARNI
Angiotensin Receptor-Neprilysin Inhibitor
- CKD
Chronic Kidney Disease
- CVD
Cardiovascular Disease
- DKD
Diabetic Kidney Disease
- eGFR
Estimated Glomerular Filtration Rate
- ESKD
End Stage Kidney Disease
- FSGS
Focal Segmental Glomerulosclerosis
- GBM
Glomerular Basement Membrane
- GLP1-RA
Glucagon-like Peptide-1 Receptor Agonist
- HOMA-IR
Homeostatic Model Assessment of Insulin Resistance
- MASLD
Metabolic Associated Steatotic Liver Disease
- MRA
Mineralocorticoid Receptor Antagonist
- PREVENT
Predicting Risk of Cardiovascular Events
- SGLT2i
Sodium-Glucose Cotransporter-2 Inhibitor
- UACR
Urinary Albumin-to-Creatinine Ratio
- U.S.
United States
Footnotes
Disclosures: None.
References
- 1.Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics - 2023 Update: A Report from the American Heart Association. Circulation. 2023;147:E93–E621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ruilope LM, Ortiz A, Lucia A, Miranda B, Alvarez-Llamas G, Barderas MG, Volpe M, Ruiz-Hurtado G, Pitt B. Prevention of cardiorenal damage: importance of albuminuria. Eur Heart J. 2023;44:1112–1123. [DOI] [PubMed] [Google Scholar]
- 3.Schrader J, Zidek W, Tebbe U, Bramlage P. Low-grade albuminuria and cardiovascular risk. Clin Res Cardiol. 2007;96:247–257. [DOI] [PubMed] [Google Scholar]
- 4.Tanaka F, Komi R, Makita S, Onoda T, Tanno K, Ohsawa M, Itai K, Sakata K, Omama S, Yoshida Y, Ogasawara K, Ishibashi Y, Kuribayashi T, Okayama A, Nakamura M. Low-grade albuminuria and incidence of cardiovascular disease and all-cause mortality in nondiabetic and normotensive individuals. J Hypertens. 2016;34:506–512. [DOI] [PubMed] [Google Scholar]
- 5.Ärnlöv J, Evans JC, Meigs JB, Wang TJ, Fox CS, Levy D, Benjamin EJ, D’Agostino RB, Vasan RS. Low-grade albuminuria and incidence of cardiovascular disease events in nonhypertensive and nondiabetic individuals: The Framingham heart study. Circulation. 2005;112:969–975. [DOI] [PubMed] [Google Scholar]
- 6.Verma A, Schmidt IM, Claudel S, Palsson R, Waikar SS, Srivastava A. Association of Albuminuria With Chronic Kidney Disease Progression in Persons With Chronic Kidney Disease and Normoalbuminuria. Ann Intern Med. 2024;177:467–475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Writing Group for the CKD Prognosis Consortium, Grams ME, Coresh J, Matsushita K, Ballew SH, Sang Y, Surapaneni A, Alencar de Pinho N, Anderson A, Appel LJ, Ärnlöv J, Azizi F, Bansal N, Bell S, Bilo HJG, Brunskill NJ, Carrero JJ, Chadban S, Chalmers J, Chen J, Ciemins E, Cirillo M, Ebert N, Evans M, Ferreiro A, Fu EL, Fukagawa M, Green JA, Gutierrez OM, Herrington WG, Hwang S-J, Inker LA, Iseki K, Jafar T, Jassal SK, Jha V, Kadota A, Katz R, Köttgen A, Konta T, Kronenberg F, Lee BJ, Lees J, Levin A, Looker HC, Major R, Melzer Cohen C, Mieno M, Miyazaki M, Moranne O, Muraki I, Naimark D, Nitsch D, Oh W, Pena M, Purnell TS, Sabanayagam C, Satoh M, Sawhney S, Schaeffner E, Schöttker B, Shen JI, Shlipak MG, Sinha S, Stengel B, Sumida K, Tonelli M, Valdivielso JM, van Zuilen AD, Visseren FLJ, Wang AY-M, Wen C-P, Wheeler DC, Yatsuya H, Yamagata K, Yang JW, Young A, Zhang H, Zhang L, Levey AS, Gansevoort RT. Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis. JAMA. 2023;330:1266–1277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS, de Jong PE, Coresh J, Gansevoort RT. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet. 2010;375:2073–2081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Matsushita K, Coresh J, Sang Y, Chalmers J, Fox C, Guallar E, Jafar TH, Jassal SK, Landman GWD, Muntner P, Roderick P, Sairenchi T, Schöttker B, Shankar A, Shlipak M, Tonelli M, Townend JN, van Zuilen A, Yamagishi K, Yamashita K, Gansevoort R, Sarnak M, Warnock DG, Woodward M, Ärnlöv J, MacMahon S, Arima H, Yatsuya H, Toyoshima H, Tamakoshi K, Grams M, Atkins RC, Polkinghorne KR, Chadban S, Klein R, Klein BEK, Lee KE, Sacks FM, Curhan GC, Katz R, Iso H, Kitamura A, Imano H, Islam M, Hatcher J, Poulter N, Chaturvedi N, Wheeler DC, Emberson J, Landray MJ, Brenner H, Rothenbacher D, Müller H, Fox CS, Hwang SJ, Meigs JB, Upadhyay A, Green J, Kirchner HL, Perkins R, Chang AR, Cirillo M, Hallan S, Aasarød K, Øien CM, Romundstad S, Irie F, Ryu S, Chang Y, Cho J, Shin H, Chodick G, Shalev V, Ash N, Shainberg B, Wetzels JFM, Blankestijn PJ, van Zuilen AD, Levey AS, Inker LA, Menon V, Peralta C, Nitsch D, Fletcher A, Bulpitt C, Elley CR, Kenealy T, Moyes SA, Collins JF, Drury P, Ohkubo T, Nakayama M, Kikuya M, Imai Y, Bakker SJL, Hillege HL, Lambers Heerspink HJ, Bergstrom J, et al. Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: A collaborative meta-analysis of individual participant data. Lancet Diabetes Endocrinol. 2015;3:514–525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Redon J Measurement of microalbuminuria - What the nephrologist should know. Nephrol Dial Transplant. 2006;21:573–576. [DOI] [PubMed] [Google Scholar]
- 11.Rose B Pathophysiology of Renal Disease. 2nd ed. New York: McGraw Hill; 1987. [Google Scholar]
- 12.White SL, Yu R, Craig JC, Polkinghorne KR, Atkins RC, Chadban SJ. Diagnostic accuracy of urine dipsticks for detection of albuminuria in the general community. Am J Kidney Dis. 2011;58:19–28. [DOI] [PubMed] [Google Scholar]
- 13.Dickson LE, Wagner MC, Sandoval RM, Molitoris BA. The proximal tubule and albuminuria: Really! J Am Soc Nephrol. 2014;25:443–453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Russo LM, Sandoval RM, McKee M, Osicka TM, Collins AB, Brown D, Molitoris BA, Comper WD. The normal kidney filters nephrotic levels of albumin retrieved by proximal tubule cells: retrieval is disrupted in nephrotic states. Kidney Int. 2007;71:504–513. [DOI] [PubMed] [Google Scholar]
- 15.Tanner GA. Glomerular sieving coefficient of serum albumin in the rat: a two-photon microscopy study. Am J Physiol Renal Physiol. 2009;296:F1258–65. [DOI] [PubMed] [Google Scholar]
- 16.Peterson PA, Evrin P-E, Berggard I. Differentiation of Glomerular, Tubular, and Normal Proteinuria: Determinations of Urinary Excretion of 32-Microglobulin, Albumin, and Total Protein. J Clin Invest. 1969;48:1189–1198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.van der Velde M, Halbesma N, de Charro FT, Bakker SJL, de Zeeuw D, de Jong PE, Gansevoort RT. Screening for albuminuria identifies individuals at increased renal risk. J Am Soc Nephrol. 2009;20:852–862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int. 2024;105:S117–S314. [DOI] [PubMed] [Google Scholar]
- 19.Klausen K, Borch-Johnsen K, Feldt-Rasmussen B, Jensen G, Clausen P, Scharling H, Appleyard M, Jensen JS. Very low levels of microalbuminuria are associated with increased risk of coronary heart disease and death independently of renal function, hypertension, and diabetes. Circulation. 2004;110:32–35. [DOI] [PubMed] [Google Scholar]
- 20.Claudel SE, Waikar SS, Schmidt IM, Vasan RS, Verma A. The relationship between low levels of albuminuria and mortality among adults without major cardiovascular risk factors. Eur J Prev Cardiol. 2024; [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ruggenenti P, Remuzzi G. Time to abandon microalbuminuria? Kidney Int. 2006;70:1214–22. [DOI] [PubMed] [Google Scholar]
- 22.Forman JP, Brenner BM. “Hypertension” and “microalbuminuria”: the bell tolls for thee. Kidney Int. 2006;69:22–28. [DOI] [PubMed] [Google Scholar]
- 23.Waikar S, Rebholz CM, Zheng Z, Hurwitz S, Hsu C-Y, Feldman HI, Xie D, Liu KD, Mifflin TE, Eckfeldt JH, Kimmel PL, Vasan RS, Bonventre JV, Inker LA, Coresh J, Chronic Kidney Disease Biomarkers Consortium Investigators. Biological Variability of Estimated GFR and Albuminuria in CKD. Am J Kidney Dis. 2018;72:538–546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Rasaratnam N, Salim A, Blackberry I, Cooper ME, Magliano DJ, van Wijngaarden P, Varadarajan S, Sacre JW, Shaw JE. Urine Albumin-Creatinine Ratio Variability in People with Type 2 Diabetes: Clinical and Research Implications. Am J Kidney Dis. 2024;84:8–17. [DOI] [PubMed] [Google Scholar]
- 25.Butt L, Unnersjö-Jess D, Höhne M, Edwards A, Binz-Lotter J, Reilly D, Hahnfeldt R, Ziegler V, Fremter K, Rinschen MM, Helmstädter M, Ebert LK, Castrop H, Hackl MJ, Walz G, Brinkkoetter PT, Liebau MC, Tory K, Hoyer PF, Beck BB, Brismar H, Blom H, Schermer B, Benzing T. A molecular mechanism explaining albuminuria in kidney disease. Nat Metab. 2020;2:461–474. [DOI] [PubMed] [Google Scholar]
- 26.Benzing T, Salant D. Insights into Glomerular Filtration and Albuminuria. N Engl J Med. 2021;384:1437–1446. [DOI] [PubMed] [Google Scholar]
- 27.Remuzzi A, Conti S, Ene-Iordache B, Tomasoni S, Rizzo P, Benigni A, Remuzzi G. Role of ultrastructural determinants of glomerular permeability in ultrafiltration function loss. JCI Insight. 2020;5:e137249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Nielsen R, Christensen EI, Birn H. Megalin and cubilin in proximal tubule protein reabsorption: from experimental models to human disease. Kidney Int. 2016;89:58–67. [DOI] [PubMed] [Google Scholar]
- 29.Palatini P, Mormino P, Dorigatti F, Santonastaso M, Mos L, De Toni R, Winnicki M, Dal Follo M, Biasion T, Garavelli G, Pessina AC, HARVEST Study Group. Glomerular hyperfiltration predicts the development of microalbuminuria in stage 1 hypertension: the HARVEST. Kidney Int. 2006;70:578–584. [DOI] [PubMed] [Google Scholar]
- 30.Pedrinelli R, Giampietro O, Carmassi F, Melillo E, Dell’Omo G, Catapano G, Matteucci E, Talarico L, Morale M, De Negri F. Microalbuminuria and endothelial dysfunction in essential hypertension. Lancet. 1994;344:14–8. [DOI] [PubMed] [Google Scholar]
- 31.Parving HH, Mogensen CE, Jensen HA, Evrin PE. Increased urinary albumin-excretion rate in benign essential hypertension. Lancet. 1974;1:1190–1192. [DOI] [PubMed] [Google Scholar]
- 32.Damman K, van Deursen VM, Navis G, Voors AA, van Veldhuisen DJ, Hillege HL. Increased central venous pressure is associated with impaired renal function and mortality in a broad spectrum of patients with cardiovascular disease. J Am Coll Cardiol. 2009;53:582–588. [DOI] [PubMed] [Google Scholar]
- 33.Damman K, van Veldhuisen DJ, Navis G, Voors AA, Hillege HL. Urinary neutrophil gelatinase associated lipocalin (NGAL), a marker of tubular damage, is increased in patients with chronic heart failure. Eur J Heart Fail. 2008;10:997–1000. [DOI] [PubMed] [Google Scholar]
- 34.Boorsma EM, ter Maaten JM, Damman K, van Essen BJ, Zannad F, van Veldhuisen DJ, Samani NJ, Dickstein K, Metra M, Filippatos G, Lang CC, Ng L, Anker SD, Cleland JG, Pellicori P, Gansevoort RT, Heerspink HJL, Voors AA, Emmens JE. Albuminuria as a marker of systemic congestion in patients with heart failure. Eur Heart J. 2022;44:368–380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Wegria BR, Capeci NE, Blumenthali MR, Hays DR, Elias RA, Hilton JG. The pathogenesis of proteinuria in the acutely congested kidney. J Clin Invest. 1954;34:737–743. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Vesely DL, Perez-Lamboy GI, Schocken DD. Long-acting natriuretic peptide vessel dilator and kaliuretic peptide enhance urinary excretion rate of albumin total protein and β2-microglobulin in patients with congestive heart failure. J Card Fail. 2001;7:55–63. [DOI] [PubMed] [Google Scholar]
- 37.Chappell D, Bruegger D, Potzel J, Jacob M, Brettner F, Vogeser M, Conzen P, Becker BF, Rehm M. Hypervolemia increases release of atrial natriuretic peptide and shedding of the endothelial glycocalyx. Crit Care. 2014;18:538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Damén T, Saadati S, Forssell-Aronsson E, Hesse C, Bentzer P, Ricksten S-E, Nygren A. Effects of different mean arterial pressure targets on plasma volume, ANP and glycocalyx-A randomized trial. Acta Anaesthesiol Scand. 2021;65:220–227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.de Borst MH, Laverman GD, Navis G. Escaping residual albuminuria in hypertension: should we start eplerenone or reduce salt intake? Hypertens Res. 2019;42:583–585. [DOI] [PubMed] [Google Scholar]
- 40.Fox CS, Larson MG, Hwang S-J, Leip EP, Rifai N, Levy D, Benjamin EJ, Murabito JM, Meigs JB, Vasan RS. Cross-sectional relations of serum aldosterone and urine sodium excretion to urinary albumin excretion in a community-based sample. Kidney Int. 2006;69:2064–2069. [DOI] [PubMed] [Google Scholar]
- 41.Quinkler M, Zehnder D, Eardley KS, Lepenies J, Howie AJ, Hughes SV, Cockwell P, Hewison M, Stewart PM. Increased expression of mineralocorticoid effector mechanisms in kidney biopsies of patients with heavy proteinuria. Circulation. 2005;112:1435–1443. [DOI] [PubMed] [Google Scholar]
- 42.Butler MJ, Ramnath R, Kadoya H, Desposito D, Riquier-Brison A, Ferguson JK, Onions KL, Ogier AS, ElHegni H, Coward RJ, Welsh GI, Foster RR, Peti-Peterdi J, Satchell SC. Aldosterone induces albuminuria via matrix metalloproteinase-dependent damage of the endothelial glycocalyx. Kidney Int. 2019;95:94–107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Verma A, Vaidya A, Subudhi S, Waikar SS. Aldosterone in chronic kidney disease and renal outcomes. Eur Heart J. 2022;43:3792–3793. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Khan M, Shahid I, Anker S, Fonarow G, Fudim M, Hall M, Hernandez A, Morris A, Shafi T, Weir M, Zannad F, Bakris G, Bulter J. Albuminuria and Heart Failure: JACC State-of-the-Art Review. J Am Coll Cardiol. 2023;81:270–282. [DOI] [PubMed] [Google Scholar]
- 45.Jensen JS. Renal and systemic transvascular albumin leakage in severe atherosclerosis. Arterioscler Thromb Vasc Biol. 1995;15:1324–1329. [DOI] [PubMed] [Google Scholar]
- 46.Stehouwer CDA, Smulders YM. Microalbuminuria and risk for cardiovascular disease: Analysis of potential mechanisms. J Am Soc Nephrol. 2006;17:2106–2111. [DOI] [PubMed] [Google Scholar]
- 47.Salmon AHJ, Ferguson JK, Burford JL, Gevorgyan H, Nakano D, Harper SJ, Bates DO, Peti-Peterd J. Loss of the endothelial glycocalyx links albuminuria and vascular dysfunction. J Am Soc Nephrol. 2012;23:1339–1350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Paisley KE, Beaman M, Tooke JE, Mohamed-Ali V, Lowe GDO, Shore AC. Endothelial dysfunction and inflammation in asymptomatic proteinuria. Kidney Int. 2003;63:624–633. [DOI] [PubMed] [Google Scholar]
- 49.Sehestedt T, Jeppesen J, Hansen TW, Rasmussen S, Wachtell K, Ibsen H, Torp-Pedersen C, Olsen MH. Thresholds for pulse wave velocity, urine albumin creatinine ratio and left ventricular mass index using SCORE, Framingham and ESH/ESC risk charts. J Hypertens. 2012;30:1928–1936. [DOI] [PubMed] [Google Scholar]
- 50.Greve S V, Blicher MK, Blyme A, Sehestedt T, Hansen TW, Rassmusen S, Vishram JKK, Ibsen H, Torp-Pedersen C, Olsen MH. Association between albuminuria, atherosclerotic plaques, elevated pulse wave velocity, age, risk category and prognosis in apparently healthy individuals. J Hypertens. 2014;32:1034–1041. [DOI] [PubMed] [Google Scholar]
- 51.Seliger SL, Salimi S, Pierre V, Giffuni J, Katzel L, Parsa A. Microvascular endothelial dysfunction is associated with albuminuria and CKD in older adults. BMC Nephrol. 2016;17:82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Martens RJH, Houben AJHM, Kooman JP, Berendschot TTJM, Dagnelie PC, Van Der Kallen CJH, Kroon AA, Leunissen KML, Van Der Sande FM, Schaper NC, Schouten JSAG, Schram MT, Sep SJS, Sörensen BM, Henry RMA, Stehouwer CDA. Microvascular endothelial dysfunction is associated with albuminuria: The Maastricht Study. J Hypertens. 2018;36:1178–1187. [DOI] [PubMed] [Google Scholar]
- 53.Huang MJ, Wei RB, Zhao J, Su TY, Li QP, Yang X, Chen XM. Albuminuria and endothelial dysfunction in patients with non-diabetic chronic kidney disease. Med Sci Mon. 2017;23:4447–4453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Goligorsky MS. Vascular endothelium in diabetes. Am J Physiol Renal Physiol [Internet]. 2017;312:266–275. Available from: http://www.ajprenal.org [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Naseem KM. The role of nitric oxide in cardiovascular diseases. Mol Aspects of Med. 2005;26:33–65. [DOI] [PubMed] [Google Scholar]
- 56.Lemley KV, Blouch K, Abdullah I, Boothroyd DB, Bennett PH, Myers BD, Nelson RG. Glomerular Permselectivity at the Onset of Nephropathy in Type 2 Diabetes Mellitus. J Am Soc Nephrol. 2000;11:2095–2105. [DOI] [PubMed] [Google Scholar]
- 57.Deckert T, Feldt-Rasmussen B, Borch-Johnsen K, Kofoed-Enevoldsen A. Albuminuria reflects widespread vascular damage. The Steno hypothesis. Diabetologia. 1989;32:219–226. [DOI] [PubMed] [Google Scholar]
- 58.De Zeeuw D, Parving HH, Henning RH. Microalbuminuria as an early marker for cardiovascular disease. J Am Soc Nephrol. 2006;17:2100–2105. [DOI] [PubMed] [Google Scholar]
- 59.Cohen MP, Chen S, Ziyadeh FN, Shea E, Hud EA, Lautenslager GT, Shearman CW. Evidence linking glycated albumin to altered glomerular nephrin and VEGF expression, proteinuria, and diabetic nephropathy. Kidney Int. 2005;68:1554–1561. [DOI] [PubMed] [Google Scholar]
- 60.Singh A, Ramnath RD, Foster RR, Wylie EC, Fridén V, Dasgupta I, Haraldsson B, Welsh GI, Mathieson PW, Satchell SC. Reactive oxygen species modulate the barrier function of the human glomerular endothelial glycocalyx. PLoS One. 2013;8:e55852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Brodsky S V, Morrishow AM, Dharia N, Gross SS, Goligorsky MS. Glucose scavenging of nitric oxide. Am J Physiol Ren Physiol. 2001;280:F480–F486. [DOI] [PubMed] [Google Scholar]
- 62.Stehouwer CD, Fischer HR, van Kuijk AW, Polak BC, Donker AJ. Endothelial dysfunction precedes development of microalbuminuria in IDDM. Diabetes. 1995;44:561–4. [DOI] [PubMed] [Google Scholar]
- 63.Sung KC, Ryu S, Lee JY, Lee SH, Cheong E, Hyun YY, Lee KB, Kim H, Byrne CD. Urine Albumin/Creatinine Ratio Below 30 mg/g is a Predictor of Incident Hypertension and Cardiovascular Mortality. J Am Heart Assoc. 2016;5:1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Gerstein HC, Mann JFE, Yi Q, Zinman B, Dinneen SF, Hoogwerf B, Hallé JP, Young J, Rashkow A, Joyce C, Nawaz S, Yusuf S. Albuminuria and risk of cardiovascular events, death, and heart failure in diabetic and nondiabetic individuals. JAMA. 2001;286:421–426. [DOI] [PubMed] [Google Scholar]
- 65.Xu J, Knowler WC, Devereux RB, Yeh J, Umans JG, Begum M, Fabsitz RR, Lee ET. Albuminuria Within the “Normal” Range and Risk of Cardiovascular Disease and Death in American Indians: The Strong Heart Study. Am J Kid Dis. 2007;49:208–216. [DOI] [PubMed] [Google Scholar]
- 66.Fangel MV, Nielsen PB, Kristensen JK, Larsen TB, Overvad TF, Lip GY, Jensen MB. Albuminuria and Risk of Cardiovascular Events and Mortality in a General Population of Patients with Type 2 Diabetes Without Cardiovascular Disease: A Danish Cohort Study. Am J Med. 2020;133:e269–e279. [DOI] [PubMed] [Google Scholar]
- 67.Kelly DM, Pinheiro AA, Koini M, Anderson CD, Aparicio H, Hofer E, Kern D, Blacker D, DeCarli C, Hwang S-J, Viswanathan A, Gonzales MM, Beiser AS, Seshadri S, Schmidt R, Demissie S, Romero JR. Impaired Kidney Function, Cerebral Small Vessel Disease and Cognitive Disorders: The Framingham Heart Study. Nephrol Dial Transplant. 2024;39:1911–1922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Tao J, Sang D, Zhang X, Liu X, Wang G, Chen S, Wu S, Geng W. An elevated urinary albumin-to-creatinine ratio increases the risk of incident cardia-cerebrovascular disease in individuals with type 2 diabetes. Diabetol Metab Syndr. 2024;16:30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Kelly DM, Rothwell PM. Proteinuria as an independent predictor of stroke: Systematic review and meta-analysis. Int J Stroke. 2020;15:29–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Wang T, Zhong H, Lian G, Cai X, Gong J, Ye C, Xie L. Low-Grade Albuminuria Is Associated with Left Ventricular Hypertrophy and Diastolic Dysfunction in Patients with Hypertension. Kidney Blood Press Res. 2019;44:590–603. [DOI] [PubMed] [Google Scholar]
- 71.Lieb W, Mayer B, Stritzke J, Doering A, Hense HW, Loewel H, Erdmann J, Schunkert H. Association of low-grade urinary albumin excretion with left ventricular hypertrophy in the general population. Nephrol Dial Transplant. 2006;21:2780–2787. [DOI] [PubMed] [Google Scholar]
- 72.Zanoli L, Empana JP, Perier MC, Alivon M, Ketthab H, Castellino P, Laude D, Thomas F, Pannier B, Laurent S, Jouven X, Boutouyrie P. Increased carotid stiffness and remodelling at early stages of chronic kidney disease. J Hypertens. 2019;37:1176–1182. [DOI] [PubMed] [Google Scholar]
- 73.Hermans MMH, Henry R, Dekker JM, Kooman JP, Kostense PJ, Nijpels G, Heine RJ, Stehouwer CDA. Estimated glomerular filtration rate and urinary albumin excretion are independently associated with greater arterial stiffness: The Hoorn study. J Am Soc Nephrol. 2007;18:1942–1952. [DOI] [PubMed] [Google Scholar]
- 74.DeFilippis AP, Kramer HJ, Katz R, Wong ND, Bertoni AG, Carr J, Budoff MJ, Blumenthal RS, Nasir K. Association between coronary artery calcification progression and microalbuminuria: The MESA study. JACC Cardiovasc Imaging. 2010;3:595–604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Odutayo A, Hsiao AJ, Emdin CA. Prevalence of Albuminuria in a General Population Cohort of Patients With Established Chronic Heart Failure. J Card Fail. 2016;22:33–37. [DOI] [PubMed] [Google Scholar]
- 76.Blecker S, Matsushita K, Kttgen A, Loehr LR, Bertoni AG, Boulware LE, Coresh J. High-normal albuminuria and risk of heart failure in the community. Am J Kid Dis. 2011;58:47–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Katz DH, Burns JA, Aguilar FG, Beussink L, Shah SJ. Albuminuria is independently associated with cardiac remodeling, abnormal right and left ventricular function, and worse outcomes in heart failure with preserved ejection fraction. JACC Heart Fail. 2014;2:586–596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Bailey LN, Levitan EB, Judd SE, Sterling MR, Goyal P, Cushman ME, Safford MM, Gutiérrez OM. Association of Urine Albumin Excretion With Incident Heart Failure Hospitalization in Community-Dwelling Adults. JACC Heart Fail. 2019;7:394–401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Ostrominski JW, Aggarwal R, Claggett BL, Kulac IJ, Desai AS, Jhund PS, Lam CSP, Pitt B, Senni M, Shah SJ, Voors AA, Zannad F, Lay-Flurrie J, Viswanathan P, McMurray JJV, Solomon SD, Vaduganathan M. Generalizability of the Spectrum of Kidney Risk in the FINEARTS-HF Trial to US Adults with Heart Failure. J Card Fail. 2024;30:1170–1174. [DOI] [PubMed] [Google Scholar]
- 80.Wang TJ, Evans JC, Meigs JB, Rifai N, Fox CS, D’Agostino RB, Levy D, Vasan RS. Low-grade albuminuria and the risks of hypertension and blood pressure progression. Circulation. 2005;111:1370–1376. [DOI] [PubMed] [Google Scholar]
- 81.Ha JT, Freedman S Ben, Kelly DM, Neuen BL, Perkovic V, Jun M, Badve SV Kidney Function, Albuminuria, and Risk of Incident Atrial Fibrillation: A Systematic Review and Meta-Analysis. Am J Kidney Dis. 2023;83:350–359. [DOI] [PubMed] [Google Scholar]
- 82.Ahmad MI, Chen LY, Singh S, Luqman-Arafath TK, Kamel H, Soliman EZ. Interrelations between albuminuria, electrocardiographic left atrial abnormality, and incident atrial fibrillation in the Multi-Ethnic Study of Atherosclerosis (MESA) cohort. Int J Cardiol. 2023;383:102–109. [DOI] [PubMed] [Google Scholar]
- 83.Xiao W, Ye P, Cao R, Yang X, Bai Y, Wu H. Urine albumin excretion is associated with cardiac troponin T detected with a highly sensitive assay in a community-based population. PLoS One. 2015;10:e0135747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Inoue K, Streja E, Tsujimoto T, Kobayashi H. Urinary albumin-to-creatinine ratio within normal range and all-cause or cardiovascular mortality among U.S. adults enrolled in the NHANES during 1999–2015. Ann Epidemiol. 2021;55:15–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.CKD Prognosis Consortium. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet. 2010;375:2073–2081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Heo NJ, Ahn JM, Lee TW, Chin HJ, Na KY, Chae DW, Kim S. Very low-grade albuminuria reflects susceptibility to chronic kidney disease in combination with cardiovascular risk factors. Hypertension Research. 2010;33:573–578. [DOI] [PubMed] [Google Scholar]
- 87.Okubo A, Nakashima A, Doi S, Doi T, Ueno T, Maeda K, Tamura R, Yamane K, Masaki T. High-normal albuminuria is strongly associated with incident chronic kidney disease in a nondiabetic population with normal range of albuminuria and normal kidney function. Clin Exp Nephrol. 2020;24:435–443. [DOI] [PubMed] [Google Scholar]
- 88.Neuen BL, Weldegiorgis M, Herrington WG, Ohkuma T, Smith M, Woodward M. Changes in GFR and Albuminuria in Routine Clinical Practice and the Risk of Kidney Disease Progression. Am J Kidney Dis. 2021;78:350–360. [DOI] [PubMed] [Google Scholar]
- 89.Carrero JJ, Grams ME, Sang Y, Ärnlöv J, Gasparini A, Matsushita K, Qureshi AR, Evans M, Barany P, Lindholm B, Ballew SH, Levey AS, Gansevoort RT, Elinder CG, Coresh J. Albuminuria changes are associated with subsequent risk of end-stage renal disease and mortality. Kidney Int. 2017;91:244–251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Astor BC, Matsushita K, Gansevoort RT, van der Velde M, Woodward M, Levey AS, Jong PE de, Coresh J, Chronic Kidney Disease Prognosis Consortium, Astor BC, Matsushita K, Gansevoort RT, van der Velde M, Woodward M, Levey AS, de Jong PE, Coresh J, El-Nahas M, Eckardt K-U, Kasiske BL, Wright J, Appel L, Greene T, Levin A, Djurdjev O, Wheeler DC, Landray MJ, Townend JN, Emberson J, Clark LE, Macleod A, Marks A, Ali T, Fluck N, Prescott G, Smith DH, Weinstein JR, Johnson ES, Thorp ML, Wetzels JF, Blankestijn PJ, van Zuilen AD, Menon V, Sarnak M, Beck G, Kronenberg F, Kollerits B, Froissart M, Stengel B, Metzger M, Remuzzi G, Ruggenenti P, Perna A, Heerspink HJL, Brenner B, de Zeeuw D, Rossing P, Parving H-H, Auguste P, Veldhuis K, Wang Y, Camarata L, Thomas B, Manley T Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and end-stage renal disease. A collaborative meta-analysis of kidney disease population cohorts. Kidney Int. 2011;79:1331–1340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Oshima M, Shimizu M, Yamanouchi M, Toyama T, Hara A, Furuichi K, Wada T. Trajectories of kidney function in diabetes: a clinicopathological update. Nat Rev Nephrol. 2021;17:740–750. [DOI] [PubMed] [Google Scholar]
- 92.Tsalamandris C, Allen TJ, Gilbert RE, Sinha A, Panagiotopoulos S, Cooper ME, Jerums G. Progressive Decline in Renal Function in Diabetic Patients With and Without Albuminuria. Diabetes. 1994;43:649–655. [DOI] [PubMed] [Google Scholar]
- 93.Toyama T, Furuichi K, Ninomiya T, Shimizu M, Hara A, Iwata Y, Kaneko S, Wada T. The Impacts of Albuminuria and Low eGFR on the Risk of Cardiovascular Death, All-Cause Mortality, and Renal Events in Diabetic Patients: Meta-Analysis. PLoS One. 2013;8:e71810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Wada T, Haneda M, Furuichi K, Babazono T, Yokoyama H, Iseki K, Araki SI, Ninomiya T, Hara S, Suzuki Y, Iwano M, Kusano E, Moriya T, Satoh H, Nakamura H, Shimizu M, Toyama T, Hara A, Makino H. Clinical impact of albuminuria and glomerular filtration rate on renal and cardiovascular events, and all-cause mortality in Japanese patients with type 2 diabetes. Clin Exp Nephrol. 2014;18:613–620. [DOI] [PubMed] [Google Scholar]
- 95.Porrini E, Ruggenenti P, Mogensen CE, Barlovic DP, Praga M, Cruzado JM, Hojs R, Abbate M, de Vries APJ, ERA-EDTA diabesity working group. Non-proteinuric pathways in loss of renal function in patients with type 2 diabetes. Lancet Diabetes Endocrinol. 2015;3:382–391. [DOI] [PubMed] [Google Scholar]
- 96.Jansson FJ, Forsblom C, Harjutsalo V, Thorn LM, Wadén J, Elonen N, Ahola AJ, Saraheimo M, Groop PH. Regression of albuminuria and its association with incident cardiovascular outcomes and mortality in type 1 diabetes: the FinnDiane Study. Diabetologia. 2018;61:1203–1211. [DOI] [PubMed] [Google Scholar]
- 97.Yokoyama H, Okudaira M, Otani T, Sato A, Miura J, Takaike H, Yamada H, Muto K, Uchigata Y, Ohashi Y, Iwamoto Y. Higher incidence of diabetic nephropathy in type 2 than in type 1 diabetes in early-onset diabetes in Japan. Kidney Int. 2000;58:302–311. [DOI] [PubMed] [Google Scholar]
- 98.Tsuda A, Ishimura E, Uedono H, Ochi A, Nakatani S, Morioka T, Mori K, Uchida J, Emoto M, Nakatani T, Inaba M. Association of albuminuria with intraglomerular hydrostatic pressure and insulin resistance in subjects with impaired fasting glucose and/or impaired glucose tolerance. Diabetes Care. 2018;41:2414–2420. [DOI] [PubMed] [Google Scholar]
- 99.Mykkanen L, Haffner SM, Kuusisto J, Pyorala K, Laakso M. Microalbuminuria Precedes the Development of NIDDM. Diabetes. 1994;43:552–557. [DOI] [PubMed] [Google Scholar]
- 100.Zhu P, Lewington S, Haynes R, Emberson J, Landray MJ, Cherney D, Woodward M, Baigent C, Herrington WG, Staplin N. Cross-sectional associations between central and general adiposity with albuminuria: observations from 400,000 people in UK Biobank. Int J Obes. 2020;44:2256–2266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Qin Z, Chang K, Yang Q, Yu Q, Liao R, Su B. The association between weight-adjusted-waist index and increased urinary albumin excretion in adults: A population-based study. Front Nutr. 2022;9:941926. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Lin WY, Pi-Sunyer FX, Liu CS, Li CI, Davidson LE, Li TC, Lin CC. Central Obesity and Albuminuria: Both Cross-Sectional and Longitudinal Studies in Chinese. PLoS One. 2012;7:e47960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Chandie Shaw PK, Berger SP, Mallat M, Frölich M, Dekker FW, Rabelink TJ. Central obesity is an independent risk factor for albuminuria in nondiabetic South Asian subjects. Diabetes Care. 2007;30:1840–1844. [DOI] [PubMed] [Google Scholar]
- 104.Kambham N, Markowitz GS, Valeri AM, Lin J, D’agati VD. Obesity-related glomerulopathy: An emerging epidemic. Kidney Int. 2001;59:1498–1509. [DOI] [PubMed] [Google Scholar]
- 105.Moriconi D, Mengozzi A, Duranti E, Cappelli F, Taddei S, Nannipieri M, Bruno RM, Virdis A. The renal resistive index is associated with microvascular remodeling in patients with severe obesity. J Hypertens. 2023;41:1092–1099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Han F, Hou N, Miao W, Sun X. Correlation of ultrasonographic measurement of intrarenal arterial resistance index with microalbuminuria in nonhypertensive, nondiabetic obese patients. Int Urol Nephrol. 2013;45:1039–1045. [DOI] [PubMed] [Google Scholar]
- 107.Calabia J, Torguet P, Garcia I, Martin N, Mate G, Marin A, Molina C, Valles M. The relationship between renal resistive index, arterial stiffness, and atherosclerotic burden: The link between macrocirculation and microcirculation. J Clin Hypertens. 2014;16:186–191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Li X, Xia M, Ma H, Hu Y, Yan H, He W, Lin H, Zhao NQ, Gao J, Gao X. Liver fat content is independently associated with microalbuminuria in a normotensive, euglycaemic Chinese population: a community-based, cross-sectional study. BMJ Open. 2021;11:e044237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Wijarnpreecha K, Thongprayoon C, Boonpheng B, Panjawatanan P, Sharma K, Ungprasert P, Pungpapong S, Cheungpasitporn W. Nonalcoholic fatty liver disease and albuminuria: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol. 2018;30:986–994. [DOI] [PubMed] [Google Scholar]
- 110.Han E, Kim MK, Im SS, Jang BK, Kim HS. Non-alcoholic fatty liver disease and sarcopenia is associated with the risk of albuminuria independent of insulin resistance, and obesity. J Diabetes Complications. 2022;36:108253. [DOI] [PubMed] [Google Scholar]
- 111.Xin Z, Liu S, Niu J, Xu M, Wang T, Lu J, Chen Y, Wang W, Ning G, Bi Y, Xu Y, Li M, Zhao Z. The association of low-grade albuminuria with incident non-alcoholic fatty liver disease and non-invasive markers of liver fibrosis by glycaemia status. Liver International. 2021;41:101–109. [DOI] [PubMed] [Google Scholar]
- 112.Jang CM, Hyun YY, Lee KB, Kim H. Insulin resistance is associated with the development of albuminuria in Korean subjects without diabetes. Endocrine. 2015;48:203–210. [DOI] [PubMed] [Google Scholar]
- 113.Neuen BL, Ostrominski JW, Claggett B, Beldhuis IE, Chatur S, McCausland FR, Badve SV, Arnott C, Heerspink HJL, Jun M, Falster M, de Oliveira Costa J, Pollock C, Jardine MJ, Mahaffey KW, Perkovic V, Solomon SD, Vaduganathan M. Bidirectional Relationship Between Kidney Disease Progression and Cardiovascular Events in Type 2 Diabetes. J Am Coll Cardiol. 2024; [DOI] [PubMed] [Google Scholar]
- 114.Mark PB, Carrero JJ, Matsushita K, Sang Y, Ballew SH, Grams ME, Coresh J, Surapaneni A, Brunskill NJ, Chalmers J, Chan L, Chang AR, Chinnadurai R, Chodick G, Cirillo M, de Zeeuw D, Evans M, Garg AX, Gutierrez OM, Heerspink HJL, Heine GH, Herrington WG, Ishigami J, Kronenberg F, Lee JY, Levin A, Major RW, Marks A, Nadkarni GN, Naimark DMJ, Nowak C, Rahman M, Sabanayagam C, Sarnak M, Sawhney S, Schneider MP, Shalev V, Shin J-I, Siddiqui MK, Stempniewicz N, Sumida K, Valdivielso JM, van den Brand J, Yee-Moon Wang A, Wheeler DC, Zhang L, Visseren FLJ, Stengel B. Major cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study. Eur Heart J. 2023;44:1157–1166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Rangaswami J, Bhalla V, De Boer IH, Staruschenko A, Sharp JA, Singh RR, Lo KB, Tuttle K, Vaduganathan M, Ventura H, McCullough PA. Cardiorenal Protection With the Newer Antidiabetic Agents in Patients With Diabetes and Chronic Kidney Disease: A Scientific Statement From the American Heart Association. Circulation. 2020;142:E265–E286. [DOI] [PubMed] [Google Scholar]
- 116.Ndumele CE, Rangaswami J, Chow SL, Neeland IJ, Tuttle KR, Khan SS, Coresh J, Mathew RO, Baker-Smith CM, Carnethon MR, Despres J-P, Ho JE, Joseph JJ, Kernan WN, Khera A, Kosiborod MN, Lekavich CL, Lewis EF, Lo KB, Ozkan B, Palaniappan LP, Patel SS, Pencina MJ, Powell-Wiley TM, Sperling LS, Virani SS, Wright JT, Rajgopal Singh R, Elkind MSV. Cardiovascular-Kidney-Metabolic Health: A Presidential Advisory From the American Heart Association. Circulation. 2023;148:1606–1635. [DOI] [PubMed] [Google Scholar]
- 117.Neuen BL, Heerspink HJL, Vart P, Claggett BL, Fletcher RA, Arnott C, de Oliveira Costa J, Falster MO, Pearson S-A, Mahaffey KW, Neal B, Agarwal R, Bakris G, Perkovic V, Solomon SD, Vaduganathan M. Estimated Lifetime Cardiovascular, Kidney, and Mortality Benefits of Combination Treatment With SGLT2 Inhibitors, GLP-1 Receptor Agonists, and Nonsteroidal MRA Compared With Conventional Care in Patients With Type 2 Diabetes and Albuminuria. Circulation. 2024;149:450–462. [DOI] [PubMed] [Google Scholar]
- 118.Pfeffer MA, Braunwald E, Moyé LA, Basta L, Brown EJ, Cuddy TE, Davis BR, Geltman EM, Goldman S, Flaker GC. Effect of captopril on mortality and morbidity in patients with left ventricular dysfunction after myocardial infarction. Results of the survival and ventricular enlargement trial. The SAVE Investigators. N Engl J Med. 1992;327:669–677. [DOI] [PubMed] [Google Scholar]
- 119.Jering KS, Claggett B, Pfeffer MA, Granger C, Køber L, Lewis EF, Maggioni AP, Mann D, McMurray JJV, Rouleau J-L, Solomon SD, Steg PG, van der Meer P, Wernsing M, Carter K, Guo W, Zhou Y, Lefkowitz M, Gong J, Wang Y, Merkely B, Macin SM, Shah U, Nicolau JC, Braunwald E. Prospective ARNI vs. ACE inhibitor trial to DetermIne Superiority in reducing heart failure Events after Myocardial Infarction (PARADISE-MI): design and baseline characteristics. Eur J Heart Fail. 2021;23:1040–1048. [DOI] [PubMed] [Google Scholar]
- 120.Jhund PS, Talebi A, Henderson AD, Claggett BL, Vaduganathan M, Desai AS, Lam CSP, Pitt B, Senni M, Shah SJ, Voors AA, Zannad F, Solomon SD, McMurray JJV. Mineralocorticoid receptor antagonists in heart failure: an individual patient level meta-analysis. Lancet. 2024;404:1119–1131. [DOI] [PubMed] [Google Scholar]
- 121.Zelniker TA, Raz I, Mosenzon O, Dwyer JP, Heerspink HHJL, Cahn A, Goodrich EL, Im K, Bhatt DL, Leiter LA, McGuire DK, Wilding JPH, Gause-Nilsson I, Langkilde AM, Sabatine MS, Wiviott SD Effect of Dapagliflozin on Cardiovascular Outcomes According to Baseline Kidney Function and Albuminuria Status in Patients with Type 2 Diabetes: A Prespecified Secondary Analysis of a Randomized Clinical Trial. JAMA Cardiol. 2021;6:801–810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Ussher JR, Drucker DJ. Glucagon-like peptide 1 receptor agonists: cardiovascular benefits and mechanisms of action. Nat Rev Cardiol. 2023;20:463–474. [DOI] [PubMed] [Google Scholar]
- 123.Lambers Heerspink HJ, Gansevoort RT. Albuminuria Is an Appropriate Therapeutic Target in Patients with CKD: The Pro View. Clin J Am Soc Nephrol. 2015;10:1079–1088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Lewis EJ, Hunsicker LG, Bain RP, Rohde RD. The Effect of Angiotensin-Converting-Enzyme Inhibition on Diabetic Nephropathy. N Engl J Med. 1993;329:1456–1462. [DOI] [PubMed] [Google Scholar]
- 125.Brenner BM, Cooper ME, de Zeeuw D, Keane WF, Mitch WE, Parving H-H, Remuzzi G, Snapinn SM, Zhang Z, Shahinfar S, The RENAAL Study Investigators. Effects of Losartan on Renal and Cardiovascular Outcomes in Patients with Type 2 Diabetes and Nephropathy. N Engl J Med. 2001;345:861–869. [DOI] [PubMed] [Google Scholar]
- 126.Heerspink HJL, Stefánsson BV, Correa-Rotter R, Chertow GM, Greene T, Hou F-F, Mann JFE, McMurray JJV, Lindberg M, Rossing P, Sjöström CD, Toto RD, Langkilde A-M, Wheeler DC Dapagliflozin in Patients with Chronic Kidney Disease. New England Journal of Medicine. 2020;383:1436–1446. [DOI] [PubMed] [Google Scholar]
- 127.Perkovic V, Tuttle KR, Rossing P, Mahaffey KW, Mann JFE, Bakris G, Baeres FMM, Idorn T, Bosch-Traberg H, Lausvig NL, Pratley R, FLOW Trial Committees and Investigators. Effects of Semaglutide on Chronic Kidney Disease in Patients with Type 2 Diabetes. N Engl J Med. 2024;391:109–121. [DOI] [PubMed] [Google Scholar]
- 128.Agarwal R, Kolkhof P, Bakris G, Bauersachs J, Haller H, Wada T, Zannad F. Steroidal and non-steroidal mineralocorticoid receptor antagonists in cardiorenal medicine. Eur Heart J. 2021;42:152–161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Oka T, Sakaguchi Y, Hattori K, Asahina Y, Kajimoto S, Doi Y, Kaimori JY, Isaka Y. Mineralocorticoid Receptor Antagonist Use and Hard Renal Outcomes in Real-World Patients with Chronic Kidney Disease. Hypertension. 2022;79:679–689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Delanaye P, Wissing KM, Scheen AJ. Sodium-glucose cotransporter 2 inhibitors: Renal outcomes according to baseline albuminuria. Clin Kidney J. 2021;14:2463–2471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Tuttle KR. Digging deep into cells to find mechanisms of kidney protection by SGLT2 inhibitors. J Clin Invest. 2023;133:e167700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Billing AM, Kim YC, Gullaksen S, Schrage B, Raabe J, Hutzfeldt A, Demir F, Kovalenko E, Lassé M, Dugourd A, Fallegger R, Klampe B, Jaegers J, Li Q, Kravtsova O, Crespo-Masip M, Palermo A, Fenton RA, Hoxha E, Blankenberg S, Kirchhof P, Huber TB, Laugesen E, Zeller T, Chrysopoulou M, Saez-Rodriguez J, Magnussen C, Eschenhagen T, Staruschenko A, Siuzdak G, Poulsen PL, Schwab C, Cuello F, Vallon V, Rinschen MM. Metabolic Communication by SGLT2 Inhibition. Circulation. 2024;149:860–884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Michos ED, Bakris GL, Rodbard HW, Tuttle KR. Glucagon-like peptide-1 receptor agonists in diabetic kidney disease: A review of their kidney and heart protection. Am J Prev Cardiol. 2023;14:100502. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Bjornstad P, Cherney D, Lawson J, Møntegaard C, Pruijm M, Tuttle K, Vrhnjak B, Kretzler M. REMODEL: A Mechanistic Trial Evaluating the Effects of Semaglutide on the Kidneys in People with Type 2 Diabetes and Chronic Kidney Disease. Nephrol Dial Transplant. 2022;37:gfac070.013. [Google Scholar]
- 135.Agarwal R, Tu W, Farjat AE, Farag YMK, Toto R, Kaul S, Lawatscheck R, Rohwedder K, Ruilope LM, Rossing P, Pitt B, Filippatos G, Anker SD, Bakris GL, FIDELIO-DKD and FIGARO-DKD Investigators. Impact of Finerenone-Induced Albuminuria Reduction on Chronic Kidney Disease Outcomes in Type 2 Diabetes : A Mediation Analysis. Ann Intern Med. 2023;176:1606–1616. [DOI] [PubMed] [Google Scholar]
- 136.Agarwal R, Pitt B, Rossing P, Anker SD, Filippatos G, Ruilope LM, Kovesdy CP, Tuttle K, Vaduganathan M, Wanner C, Bansilal S, Gebel M, Joseph A, Lawatscheck R, Bakris GL. Modifiability of Composite Cardiovascular Risk Associated with Chronic Kidney Disease in Type 2 Diabetes with Finerenone. JAMA Cardiol. 2023;8:732–741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Tuttle KR, Hauske SJ, Canziani ME, Caramori ML, Cherney D, Cronin L, Heerspink HJL, Hugo C, Nangaku M, Rotter RC, Silva A, Shah SV, Sun Z, Urbach D, de Zeeuw D, Rossing P, ASi in CKD group. Efficacy and safety of aldosterone synthase inhibition with and without empagliflozin for chronic kidney disease: a randomised, controlled, phase 2 trial. Lancet. 2024;403:379–390. [DOI] [PubMed] [Google Scholar]
- 138.Investigators ONTARGET, Yusuf S Teo KK, Pogue J, Dyal L, Copland I, Schumacher H, Dagenais G, Sleight P, Anderson C Telmisartan, ramipril, or both in patients at high risk for vascular events. N Engl J Med. 2008;358:1547–1559. [DOI] [PubMed] [Google Scholar]
- 139.Apperloo E, Neuen B, Fletcher R, Jongs N, Anker S, Bhatt D, Butler J, Cherney D, Herrington W, Inzucchi S, Jardine M, Liu C, Mahaffey K, McGuire D, McMurray J, Neal B, Packer M, Perkovic V, Sabatine M, Solomon S, Staplin N, Szarek M, Vaduganathan M, Wanner C, Wheeler D, Wiviott S, Zannad F, Heerspink H. Efficacy and safety of SGLT2 inhibitors with and without GLP-1 receptor agonists: A SMART-C collaborative meta-analysis. Lancet Diabetes & Endocrinology. 2024;in press. [DOI] [PubMed] [Google Scholar]
- 140.Vart P, Vaduganathan M, Jongs N, Remuzzi G, Wheeler DC, Hou FF, McCausland F, Chertow GM, Heerspink HJL. Estimated Lifetime Benefit of Combined RAAS and SGLT2 Inhibitor Therapy in Patients with Albuminuric CKD without Diabetes. Clin J Am Soc Nephrol. 2022;17:1754–1762. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Vaduganathan M, Neuen BL, McCausland F, Jhund PS, Docherty KF, McMurray JJV, Solomon SD. Why Has it Been Challenging to Modify Kidney Disease Progression in Patients With Heart Failure? J Am Coll Cardiol. 2024; doi: 10.1016/j.jacc.2024.08.034 [DOI] [PubMed] [Google Scholar]
- 142.Butt JH, McMurray JJ, Claggett BL, Jhund PS, Neuen BL, Mc Causland F, Desai A, Lam CS, Pitt B, Pfeffer MA, Packer M, Beldhuis I, Voors AA, Zannad F, Heerspink HJ, Solomon SD, Vaduganathan M. Therapeutic Effects of Heart Failure Medical Therapies on Standardized Kidney Outcomes: Comprehensive Individual Participant-Level Analysis of 6 Randomized Clinical Trials. Circulation. 2024;0:0–0. [DOI] [PubMed] [Google Scholar]
- 143.Ostrominski JW, Claggett BL, Miao ZM, Mc Causland FR, Anand IS, Desai AS, Jhund PS, Lam CSP, Pfeffer MA, Pitt B, Zannad F, Zile MR, Bomfim Wirtz A, Lay-Flurrie J, Viswanathan P, McMurray JJV, Solomon SD, Vaduganathan M. Cardiovascular-Kidney-Metabolic Overlap in Heart Failure With Mildly Reduced or Preserved Ejection Fraction: A Trial-Level Analysis. J Am Coll Cardiol. 2024;84:223–228. [DOI] [PubMed] [Google Scholar]
- 144.McMurray JJV, Packer M, Desai AS, Gong J, Lefkowitz MP, Rizkala AR, Rouleau JL, Shi VC, Solomon SD, Swedberg K, Zile MR, PARADIGM-HF Investigators and Committees. Angiotensin-neprilysin inhibition versus enalapril in heart failure. N Engl J Med. 2014;371:993–1004. [DOI] [PubMed] [Google Scholar]
- 145.UK HARP-III Collaborative Group. Randomized multicentre pilot study of sacubitril/valsartan versus irbesartan in patients with chronic kidney disease: United Kingdom Heart and Renal Protection (HARP)- III-rationale, trial design and baseline data. Nephrol Dial Transplant. 2017;32:2043–2051. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Vaduganathan M, Filippatos G, Claggett BL, Desai AS, Jhund PS, Henderson A, Brinker M, Kolkhof P, Schloemer P, Lay-Flurrie J, Viswanathan P, Lam CSP, Senni M, Shah SJ, Voors AA, Zannad F, Rossing P, Ruilope LM, Anker SD, Pitt B, Agarwal R, McMurray JJV, Solomon SD. Finerenone in Heart Failure and Chronic Kidney Disease with Type 2 Diabetes: the FINE-HEART pooled analysis of cardiovascular, kidney, and mortality outcomes. Nat Med. 2024; [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Neuen BL, Tuttle KR, Vaduganathan M. Accelerated Risk-Based Implementation of Guideline-Directed Medical Therapy for Type 2 Diabetes and Chronic Kidney Disease. Circulation. 2024;149:1238–1240. [DOI] [PubMed] [Google Scholar]
- 148.Lauffenburger JC, Landon JE, Fischer MA. Effect of Combination Therapy on Adherence Among US Patients Initiating Therapy for Hypertension: a Cohort Study. J Gen Intern Med. 2017;32:619–625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Bhandari S, Mehta S, Khwaja A, Cleland JGF, Ives N, Brettell E, Chadburn M, Cockwell P, STOP ACEi Trial Investigators. Renin-Angiotensin System Inhibition in Advanced Chronic Kidney Disease. N Engl J Med. 2022;387:2021–2032. [DOI] [PubMed] [Google Scholar]
- 150.Leon SJ, Whitlock R, Rigatto C, Komenda P, Bohm C, Sucha E, Bota SE, Tuna M, Collister D, Sood M, Tangri N. Hyperkalemia-Related Discontinuation of Renin-Angiotensin-Aldosterone System Inhibitors and Clinical Outcomes in CKD: A Population-Based Cohort Study. American Journal of Kidney Diseases. 2022;80:164–173.e1. [DOI] [PubMed] [Google Scholar]
- 151.Palmer BF, Clegg DJ. Managing Hyperkalemia to Enable Guideline-Recommended Dosing of Renin-Angiotensin-Aldosterone System Inhibitors. American Journal of Kidney Diseases. 2022;80:158–160. [DOI] [PubMed] [Google Scholar]
- 152.Ferreira JP, Zannad F, Pocock SJ, Anker SD, Butler J, Filippatos G, Brueckmann M, Jamal W, Steubl D, Schueler E, Packer M. Interplay of Mineralocorticoid Receptor Antagonists and Empagliflozin in Heart Failure: EMPEROR-Reduced. J Am Coll Cardiol. 2021;77:1397–1407. [DOI] [PubMed] [Google Scholar]
- 153.Visseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Bäck M, Benetos A, Biffi A, Boavida JM, Capodanno D, Cosyns B, Crawford C, Davos CH, Desormais I, DI Angelantonio E, Franco OH, Halvorsen S, Hobbs FDR, Hollander M, Jankowska EA, Michal M, Sacco S, Sattar N, Tokgozoglu L, Tonstad S, Tsioufis KP, Van DIs I, Van Gelder IC, Wanner C, Williams B, De Backer G, Regitz-Zagrosek V, Aamodt AH, Abdelhamid M, Aboyans V, Albus C, Asteggiano R, Bäck M, Borger MA, Brotons C, Ielutkienė J, Cifkova R, Cikes M, Cosentino F, Dagres N, De Backer T, De Bacquer Di, Delgado V, Den Ruijter H, Dendale P, Drexel H, Falk V, Fauchier L, Ference BA, Ferrières J, Ferrini M, Fisher M, Fliser D, Fras Z, Gaita D, Giampaoli S, Gielen S, Graham I, Jennings C, Jorgensen T, Kautzky-Willer A, Kavousi M, Koenig W, Konradi A, Kotecha Di, Landmesser U, Lettino M, Lewis BS, Linhart A, Løchen ML, Makrilakis K, Mancia G, Marques-Vidal P, McEvoy JW, McGreavy P, Merkely B, Neubeck L, Nielsen JC, Perk J, Petersen SE, Petronio AS, Piepoli M, Pogosova NG, Prescott EIB, Ray KK, Reiner Z, Richter DiJ, Rydén L, Shlyakhto E, Sitges M, Sousa-Uva M, Sudano I, Tiberi M, et al. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2021;42:3227–3337. [DOI] [PubMed] [Google Scholar]
- 154.U.S. Preventative Services Task Force. Chronic Kidney Disease: Screening [Internet]. Recommendation Topics. 2023. [cited 2023 Nov 6];Available from: https://www.uspreventiveservicestaskforce.org/uspstf/draft-update-summary/chronic-kidney-disease-screening
- 155.Chu CD, Xia F, Du Y, Singh R, Tuot DS, Lamprea-Montealegre JA, Gualtieri R, Liao N, Kong SX, Williamson T, Shlipak MG, Estrella MM. Estimated Prevalence and Testing for Albuminuria in US Adults at Risk for Chronic Kidney Disease. JAMA Netw Open. 2023;6:E2326230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Manns L, Scott-Douglas N, Tonelli M, Weaver R, Tam-Tham H, Chong C, Hemmelgarn B. A Population-Based analysis of quality indicators in CKD. Clinical Journal of the American Society of Nephrology. 2017;12:727–733. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Shin JI, Chang AR, Grams ME, Coresh J, Ballew SH, Surapaneni A, Matsushita K, Bilo HJG, Carrero JJ, Chodick G, Daratha KB, Jassal SK, Nadkarni GN, Nelson RG, Nowak C, Stempniewicz N, Sumida K, Traynor JP, Woodward M, Sang Y, Gansevoort RT. Albuminuria Testing in Hypertension and Diabetes: An Individual-Participant Data Meta-Analysis in a Global Consortium. Hypertension. 2021;78:1042–1052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Cusick MM, Tisdale RL, Chertow GM, Owens DK, Goldhaber-Fiebert JD. Population-Wide Screening for Chronic Kidney Disease : A Cost-Effectiveness Analysis. Ann Intern Med. 2023;176:788–797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.John Sperati C, Soman S, Agrawal V, Liu Y, Abdel-Kader K, Diamantidis CJ, Estrella MM, Cavanaugh K, Plantinga L, Schell J, Simon J, Vassalotti JA, Choi MJ, Jaar BG, Greer RC. Primary care physicians’ perceptions of barriers and facilitators to management of chronic kidney disease: A mixed methods study. PLoS One. 2019;14:e0221325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Abdel-Kader K, Greer RC, Boulware LE, Unruh ML. Primary care physicians’ familiarity, beliefs, and perceived barriers to practice guidelines in non-diabetic CKD: a survey study. BMC Nephrol. 2014;15:64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.van Mil D, Kieneker LM, Evers-Roeten B, Thelen MHM, de Vries H, Hemmelder MH, Dorgelo A, van Etten RW, Heerspink HJL, Gansevoort RT. Participation rate and yield of two home-based screening methods to detect increased albuminuria in the general population in the Netherlands (THOMAS): a prospective, randomised, open-label implementation study. The Lancet. 2023;402:1052–1064. [DOI] [PubMed] [Google Scholar]
- 162.Khan SS, Matsushita K, Sang Y, Ballew SH, Grams ME, Surapaneni A, Blaha MJ, Carson AP, Chang AR, Ciemins E, Go AS, Gutierrez OM, Hwang S-J, Jassal SK, Kovesdy CP, Lloyd-Jones DM, Shlipak MG, Palaniappan LP, Sperling L, Virani SS, Tuttle K, Neeland IJ, Chow SL, Rangaswami J, Pencina MJ, Ndumele CE, Coresh J. Development and Validation of the American Heart Association Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) Equations. Circulation. 2023;430–499. [DOI] [PMC free article] [PubMed] [Google Scholar]
