Troponins, Acute Coronary Syndrome and Renal Disease: From Acute Kidney Injury Through End-stage Kidney Disease

Login or register to view PDF.
Creative Commons Licence
 
Abstract

The diagnosis of acute coronary syndromes (ACS) is heavily dependent on cardiac biomarker assays, particularly cardiac troponins. ACS, particularly non-ST segment elevation MI, are more common in patients with acute kidney injury, chronic kidney disease (CKD) and end-stage kidney disease (ESKD), are associated with worse outcomes than in patients without kidney disease and are often difficult to diagnose and treat. Hence, early accurate diagnosis of ACS in kidney disease patients is important using easily available tools, such as cardiac troponins. However, the diagnostic reliability of cardiac troponins has been suboptimal in patients with kidney disease due to possible decreased clearance of troponin with acute and chronic kidney impairment and low levels of troponin secretion due to concomitant cardiac muscle injury related to left ventricular hypertrophy, inflammation and fibrosis. This article reviews the metabolism and utility of cardiac biomarkers in patients with acute and chronic kidney diseases. Cardiac troponins are small peptides that accumulate in both acute and chronic kidney diseases due to impaired excretion. Hence, troponin concentrations rise and fall with acute kidney injury and its recovery, limiting their use in the diagnosis of ACS. Troponin concentrations are chronically elevated in CKD and ESKD, are associated with poor prognosis and decrease the sensitivity and specificity for diagnosis of ACS. Yet, the evidence indicates that the use of high-sensitivity troponins can confirm or exclude a diagnosis of ACS in the emergency room in a significant proportion of kidney disease patients; those patients in whom the results are equivocal may need longer in-hospital assessment.

Disclosure
DB has received grants from the British Heart Foundation (PG 10/71/28462) and Wellcome (ISSF 204809/Z/16/Z) and honoraria from Astra Zeneca, Pfizer and Vifor Pharma. All other authors have no conflicts of interest to declare.
Correspondence
Debasish Banerjee, Room G2.113, Second Floor, Grosvenor Wing, St George’s Hospital, Blackshaw Rd, Tooting, London SW17 0QT, UK. E: debasish.banerjee@stgeorges.nhs.uk
Received date
12 April 2019
Accepted date
07 August 2019
DOI
https://doi.org/10.15420/ecr.2019.28.2
Open access
This work is open access under the CC-BY-NC 4.0 License which allows users to copy, redistribute and make derivative works for non-commercial purposes, provided the original work is cited correctly.

The development of increasingly sensitive and specific serum cardiac biomarkers has led a revolution in the diagnosis and management of acute coronary syndrome (ACS). However, although the troponins now in use are considered highly sensitive cardiac biomarkers in the general population, the interpretation of troponins in patients with acute kidney injury (AKI), chronic kidney disease (CKD) and end-stage kidney disease (ESKD) has long caused diagnostic uncertainty.

The metabolism and excretion of troponins are affected by changes in estimated glomerular filtration (eGFR) rates, making single values often unhelpful.1,2 Diagnosis of an acute coronary episode using the recommended serial measurements of cardiac biomarkers is more important than ever in the renal population due to the higher prevalence of non-ST-segment elevation MI (NSTEMI). However, increasing evidence shows that it is important not to disregard the results even in those patients in whom there is no dynamic change in troponin values. Studies show that the chronically elevated troponin concentrations seen in CKD and ESKD patients are associated with increased cardiovascular events and mortality.3 This careful and considered approach to looking at troponins means that although they are a useful component of the ACS diagnostic pathway, they can also act as a trigger for addressing cardiac risk factors in this high-risk population.

AKI is a common diagnosis among hospitalised patients. A recent meta-analysis, using the Kidney Disease Improving Global Outcomes (KDIGO) definition of AKI, demonstrated that one in five adults hospitalised worldwide (21.6%) experienced AKI, and that this was associated with high morbidity and mortality.4 The incidence of AKI is increasing, particularly among the elderly, a population that also experiences multiple comorbidities, including a high incidence of ACS.5 The common causes of AKI are sepsis, hypovolaemia, nephrotoxins and urinary obstruction. Kidney function and renal clearance change rapidly during the evolution of AKI to its peak and then during recovery. This means careful consideration is required with regard to the interpretation of serum biomarkers and drugs used to treat ACS that are metabolised and secreted by the kidneys.

Diagnostic Algorithm for Symptoms of Acute Coronary Syndrome

Open in new tab
Open ppt

Metabolism of Cardiac Biomarkers by the Kidney

The kidneys play a major role in the metabolism and clearance of small peptides and proteins.6 For example, insulin concentrations increase with decreasing kidney function due to reduced excretion. Peptides and small proteins are partially filtered through the glomerular filtration barrier and enter the proximal tubule where they are reabsorbed by the megalin–cubilin complex and are metabolised in the lysosome.6,7 Various serum biomarkers, including cardiac biomarkers, are handled by the kidney in a similar manner. Therefore, interpretation of the serum concentrations of these biomarkers presents an additional challenge in the context of AKI, where glomerular filtration changes rapidly during on-going injury and then recovery. Similarly, the concentrations of these peptides are chronically elevated in patients with CKD and ESKD.

Cardiac Biomarkers of Acute Coronary Syndrome

In the past 50 years, numerous serum biomarkers have been discovered and are now used in conjunction with ECG changes and clinical presentation in the diagnosis of ACS. Initially, non-specific markers, such as white blood cell count, were used. The first enzyme biomarker to be used was aspartate aminotransferase in the 1960s, followed by the discovery of lactate dehydrogenase and creatinine kinase later that decade, and the muscle/brain fraction of creatinine kinase (CK-MB) in the 1970s.8 However, over the past three decades, cardiac biomarkers, particularly troponins, have become increasingly sensitive and specific, and are now the cornerstone for the diagnosis of ACS.

Troponins as cardiac-specific biomarkers were described for the first time in the late 1980s.9 Troponins T, I and C are components of the cardiac troponin complex, which is integral to actin–myosin interaction and cardiac muscle contraction.6

Troponin C exists in the skeletal muscle and hence is not cardiac specific. Non-functional free subfractions of troponin move from the myocardial cell cytoplasm into the circulation promptly after myocardial injury.10 Unbound cytosolic troponin T (cTnT), which is released after acute injury, is approximately 6% of all troponin T pool in the cell, and 3% for cardiac troponin I (cTnI) pool. cTnI is a smaller molecule than cTnT (~187 versus 288 amino acids, respectively).10

In one study from the late 1990s, serum cardiac biomarkers were measured in 67 samples from 24 ESKD patients without any history of acute heart disease and no regional wall motion abnormalities on echocardiogram.11 CK-MB was increased in at least one sample in 30% of patients, whereas cTnT was increased in 71%. In the same study, troponin T was demonstrated in skeletal muscle biopsy, suggesting possible expression of troponin T in skeletal muscle with myopathy associated with ESKD.11 However, cross-reaction with the skeletal muscle isoform of troponin T is now considered less significant due to improvements in immunoassays.12

Cardiac biomarkers are integral to current diagnosis of MI. The universal definition of MI states that there must be an increase in cardiac biomarkers (preferably cardiac troponin) with at least one value above the 99th percentile of the upper reference limit and/or a fall in cardiac biomarkers along with a list of other clinical features, such as specific ECG or echocardiographic changes.13

Cardiac Troponins in Chronic Kidney Disease and End-stage Kidney Disease

Although there have been advances in the sensitivity and specificity of cardiac biomarkers, the interpretation of troponin in CKD and dialysis patients remains a challenge. Many studies have investigated concentrations of cardiac troponins with decreasing glomerular filtration. One such study explored cardiac troponin concentrations in 489 patients referred for 51Cr EDTA or isohexol eGFR estimation due to any clinical indication.14 Patients were divided by the presence or absence of prior MI, heart failure, chronic angina or atrial fibrillation, and those with recent ACS were excluded. Concentrations of cTnT, cTnI, copeptin, N-terminal pro B-type natriuretic peptide (NT-proBNP), heart-type fatty acid binding protein (H-FABP) and cystatin C were higher in patients with increasing CKD stages, regardless of prior history of cardiac disease.14

Studies looking at the behaviour of cardiac biomarkers in dialysis patients offer different explanations as to how concentrations may be affected by treatment, and suggest some differences in behaviour between the different types of troponins.15 For example, some studies suggest that haemoconcentration may increase troponin levels, whereas others suggest that troponin levels may be lower as a result of dialysis clearance.

Part of the universal definition of MI states that at least one troponin value must be above the 99th percentile upper reference limit.13 However, chronic, stable, elevated troponin concentrations have been demonstrated in the CKD population in the absence of any clinical evidence of a myocardial ischaemic event.16 Perhaps the most commonly adopted approach to this problem is to look for a change of more than 20% between two values taken several hours apart, although there is no real evidence to support this strategy and there is a potential to underestimate myocardial events.17

The European Society of Cardiology (ESC) recommends an algorithm to rapidly rule in or rule out NSTEMI using high-sensitivity cardiac troponin concentrations, regardless of renal function.18 In reality, applying this to renal patients presents some issues. A large European prospective multicentre study of 4,726 consecutive patients with suspected ACS examined the use of high-sensitivity (hs-)cTnI in those with and without renal impairment.19 Of the 904 (19%) with renal impairment (eGFR <60 ml/min/1.73 m2), only 17% were identified as low risk based on troponin concentration <5 ng/l at presentation, compared with 56% without renal impairment (p<0.001).19 The positive predictive value and specificity when troponin concentrations were in the 99th percentile were lower in patients with renal impairment, at 50.0%, 95% CI [45.2–54.8%] and 70.9%, 95% CI [67.5–74.2%]), respectively, than in those without any renal impairment (62.4%, 95% CI [58.8–65.9%] and 92.1%, 95% CI [91.2–93.0%], respectively).19 However, the data suggest that these elevated troponin concentrations in the CKD population should not be completely discounted. At 1 year, patients with renal impairment and elevated cardiac troponin concentrations >99th percentile had a twofold greater risk of a major cardiac event than those with normal renal function.19 Elevated cardiac troponin concentrations have been associated with poor outcomes among both CKD and ESKD patients. A 2014 meta-analysis of 11 studies, adjusted for coronary artery disease and age, demonstrated a threefold increase in mortality with chronically elevated cTnT in ESKD patients.3

A further large multicentre cohort study of 3,254 patients using the ESC 0/1-hour algorithm in patients with and without renal dysfunction (defined as eGFR <60 ml/min/1.73 m2) found that the prevalence of NSTEMI was higher in the 487 patients with renal dysfunction than in those with normal function (13% versus 30%).20 That study used both hs-cTnT and hs-cTnI. Compared with patients with normal renal function, hs-cTnT concentrations in patients with renal dysfunction had comparable sensitivity of rule out (100.0% versus 99.2%; p=0.559), lower specificity of rule in (88.7% versus 96.5%; p<0.001) and lower overall efficacy (51% versus 81%; p<0.001).20 The authors concluded that this was likely the result of the lower percentage of patients with renal dysfunction who were eligible for rule out compared with patients with normal renal function (18% versus 68%; p<0.001).20 In patients with eGFR <60 ml/min/1.73 m2, hs-cTnI had comparable sensitivity of rule out (98.6% versus 98.5%; p=1.0), lower specificity of rule in (84.4 versus 91.7%; p<0.001) and lower overall efficacy (54% versus 76%; p<0.001) compared with patients with normal renal function.20 This also helps highlight the subtle differences between using hs-cTnT and hs-cTnI in the renal population. Subsequent attempts at modifications of the rule-in and rule-out thresholds did not improve the safety or overall efficacy of the algorithm.20

Acute Coronary Syndrome Biomarker and Acute Kidney Injury

AKI is common in patients with ACS. In a large American retrospective study, 26.6% of patients diagnosed with ACS also had AKI (defined in that study as a rise in serum creatinine of 0.3 mg/dl).21 Prompt diagnosis of ACS in patients also diagnosed with AKI is important to ensure appropriate, tailored management for both conditions.

Several possible mechanisms play a role in the increase in cardiac biomarkers in AKI. During AKI there may be a degree of non-ischaemic myocardial necrosis or myocardial injury, as seen with heart failure, cardiac arrhythmias and cardiac interventions. Furthermore, conditions that may precipitate AKI, such as sepsis and hypotension, may also cause a comparable myocardial injury, and hence increase cardiac biomarkers (by definition, a type 2 MI).22

Decreased elimination of biomarkers, due to reasons discussed above, may also result in a rise in levels. Deterioration of kidney function with evolving AKI and improvement during recovery phase may result in a rise and fall of biomarker levels – this may mimic the rise and fall of biomarkers seen with MI, leading to a degree of diagnostic uncertainty.

Standardising patient selection, blood sampling, assays and definitions between studies examining cardiac biomarker levels in patients with AKI mean data are limited.

In an early study, serum cardiac biomarkers were compared between patients with AKI and those with CKD (creatinine 120–200 µmol/l), severe CKD (creatinine 200–400 µmol/l) and on haemodialysis.23 The patients with AKI had severe AKI (creatinine >500 µmol/l), and many had multiorgan dysfunction requiring continuous venovenous haemodiafiltration. Active ischaemic heart disease was ruled out with clinical features, ECG and echocardiogram. Concentrations of cTnT and cTnI were highest in patients with AKI. On serial measurements of three AKI patients, recovery of renal function was associated with a fall in cTnT to undetectable levels.23

In another study of 19 AKI stage 2 and 3 patients, 39 samples were obtained at admission, peak creatinine and discharge.1 Patients with multiorgan failure, ACS, pericarditis, myocarditis, sepsis, heart failure, pulmonary embolism and cardiac arrhythmias were excluded.1 Concentrations of hs-cTnT were elevated in 32% of patients.1 The patients with elevated hs-cTnT were older and had minor ECG abnormalities.1 Concentrations of hs-cTnT, hs-cTnI and CK-MB tended to fall with AKI recovery and hospital discharge.1 That study helpfully demonstrated that, even when removing confounders such as ACS and sepsis, AKI still results in elevated cardiac biomarkers.1

Very interesting observations were made from a large database of 17,113 matched cTnT and creatinine values in 10,418 patients admitted to a single hospital.2 The cardiovascular disease history of the patients was unknown, and 3,108 pairs of results were obtained within a short period of time (median 15 hours; interquartile range 7–25 hours).2 Within that short period, the cTnT values rose and fell with increasing and decreasing kidney function, suggesting renal clearance as a cause of the rise and fall rather than cardiac injury.2 Concentrations of cTnT increased and decreased with kidney function >120 and 5 ml/min, respectively.2

Conclusion

We have reviewed the interesting and growing literature available on the topic of troponin interpretation in kidney patients from AKI through to ESKD. Although considerable advances have been made in the use of cardiac biomarkers to aid diagnosis, it is clear that a degree of caution is required in their application to renal patients.

In terms of practical clinical implications, a few conclusions can be drawn, although these are far from definitive. It is clear that it is important not to completely discount high troponin concentrations in CKD and ESKD patients. Elevated troponins are associated with increased cardiovascular risk, and discounting this means we run the risk of mismanaging cardiac risk factors, underinvestigating a very high-risk population or, indeed, missing acute events.

Drawing upon the full combination of biomarkers, ECG, cardiac imaging, clinical history and physical examination (and, where appropriate, coronary angiography) will be vital in diagnosing and treating patients correctly (Figure 1).

To date, adjusted algorithms for the interpretation of troponin in renal patients have been, at best, partially successful. It seems sensible to continue to use serial troponins in kidney disease patients as advised by the Joint Task Force of the ESC, American College of Cardiology Foundation, the American Heart Association and the World Heart Federation for diagnosis in patients without kidney disease.24 More research is needed to discover new biomarkers and to better use the available biomarkers in AKI, CKD and ESKD patients for the early diagnosis of and better outcomes after ACS.

References
  1. Song D, de Zoysa JR, Ng A, Chiu W. Troponins in acute kidney injury. Ren Fail 2012;34:35–9.
    Crossref | PubMed
  2. Chung JZ, Dallas Jones GR. Effect of renal function on serum cardiac troponin T – population and individual effects. Clin Biochem 2015;48:807–10.
    Crossref | PubMed
  3. Michos ED, Wilson LM, Yeh HC, et al. Prognostic value of cardiac troponin in patients with chronic kidney disease without suspected acute coronary syndrome: a systematic review and meta-analysis. Ann Intern Med 2014;161:491–501.
    Crossref | PubMed
  4. Susantitaphong P, Cruz DN, Cerda J, et al. World incidence of AKI: a meta-analysis. Clin J Am Soc Nephrol 2013;8:1482–93.
    Crossref | PubMed
  5. Hsu RK, McCulloch CE, Dudley RA, Lo LJ, Hsu CY. Temporal changes in incidence of dialysis-requiring AKI. J Am Soc Nephrol 2013;24:37–42. https://doi.org/10.1681/ASN.2012080800" target="_blank">Crossref | PubMed
  6. Haraldsson B, Nyström J, Deen WM. Properties of the glomerular barrier and mechanisms of proteinuria. Physiol Rev 2008;88:451–87.
    Crossref | PubMed
  7. Christensen EI, Birn H. Megalin and cubilin: synergistic endocytic receptors in renal proximal tubule. Am J Physiol Renal Physiol 2001;280:F562–73.
    Crossref | PubMed
  8. Collinson PO, Garrison L, Christenson RH. Cardiac biomarkers - A short biography. Clin Biochem 2015;48:197–200.
    Crossref | PubMed
  9. deFilippi C, Seliger S. The cardiac troponin renal disease diagnostic conundrum: past, present, and future. Circulation 2018;137:452–454.
    Crossref | PubMed
  10. Babuin L, Jaffe A. Troponin: the biomarker of choice for the detection of cardiac injury. CMAJ 2005;173:1191–202.
    Crossref | PubMed
  11. McLaurin MD, Apple FS, Voss EM, et al. Cardiac troponin I, cardiac troponin T, and creatine kinase MB in dialysis patients without ischemic heart disease: evidence of cardiac troponin T expression in skeletal muscle. Clin Chem 1997;43:976–82.
    PubMed
  12. Apple FS, Ricchiuti C, Voss EM. Expression of cardiac troponin T isoforms in skeletal muscle of renal disease patients will not cause false-positive serum results by the second generation cardiac troponin T assay. Eur Heart J 1998;19(Suppl N):N30–3.
    PubMed
  13. Thygesen K, Alpert JS, Jaffe AS, et al. Third universal definition of myocardial infarction. J Am Coll Cardiol 2012;60:1581–98.
    Crossref | PubMed
  14. Bjurman C, Petzold M, Venge P, et al. High-sensitive cardiac troponin, NT-proBNP, hFABP and copeptin levels in relation to glomerular filtration rates and a medical record of cardiovascular disease. Clin Biochem 2015;48:302–7.
    Crossref | PubMed
  15. Roberts MA, Hedley AJ, Ierino F. Understanding cardiac biomarkers in end-stage kidney disease: frequently asked questions and the promise of clinical application. Nephrology (Carlton) 2011;16:251–60.
    Crossref | PubMed
  16. Twerenbold R, Wildi K, Jaeger C, et al. Optimal cutoff levels of more sensitive cardiac troponin assays for the early diagnosis of myocardial infarction in patients with renal dysfunction. Circulation 2015;131:2041–50.
    Crossref | PubMed
  17. Morrow DA, Bonaca MP. Real-world application of ‘delta’ troponin: diagnostic and prognostic implications. J Am Coll Cardiol 2013;62:1239–41.
    Crossref | PubMed
  18. Roffi M, Patrono C, Collet JP, et al. 2015 ESC guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. Eur Heart J 2016;37:267–315.
    Crossref | PubMed
  19. Miller-Hodges E, Anand A, Shah ASV, et al. High-sensitivity cardiac troponin and the risk stratification of patients with renal impairment presenting with suspected acute coronary syndrome. Circulation 2018;137:425–35.
    Crossref | PubMed
  20. Twerenbold R, Badertscher P, Boeddinghaus J, et al. 0/1-hour triage algorithm for myocardial infarction in patients with renal dysfunction. Circulation 2018;137:436–51.
    Crossref | PubMed
  21. Amin AP, Salisbury AC, McCullough PA, et al. Trends in the incidence of acute kidney injury in patients hospitalized with acute myocardial infarction. Arch Intern Med 2012;172:246–53.
    Crossref | PubMed
  22. Chapman AR, Adamson PD, Mills NL. Assessment and classification of patients with myocardial injury and infarction in clinical practice. Heart 2017;103:10–8.
    Crossref | PubMed
  23. Collinson PO, Hadcocks L, Foo Y et al. Cardiac troponins in patients with renal dysfunction. Ann Clin Biochem 1998;35:380–6.
    Crossref | PubMed
  24. Thygesen K, Alpert JS, Jaffe AS, et al. Fourth Universal Definition of Myocardial Infarction (2018). Circulation 2018;138:e618–e651.
    Crossref | PubMed