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Journal of Clinical Oncology, Vol 22, No 18 (September 15), 2004: pp. 3751-3757 © 2004 American Society of Clinical Oncology. DOI: 10.1200/JCO.2004.03.029 Serum Cardiac Troponins and N-Terminal Pro-Brain Natriuretic Peptide: A Staging System for Primary Systemic AmyloidosisFrom the Division of Hematology and Internal Medicine, the Division of Biostatistics, the Division of Cardiovascular Diseases and Internal Medicine, the Division of Laboratory Genetics and Laboratory Medicine and Pathology, the Department of Surgery, and the Division of Clinical Biochemistry and Immunology and Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN Address reprint requests to Angela Dispenzieri, MD, Mayo Clinic, 200 First St SW, Rochester, MN 55905; e-mail: dispenzieri.angela{at}mayo.edu
PURPOSE: Primary systemic amyloidosis (AL) is a multisystemic disorder resulting from an underlying plasma cell dyscrasia. There is no formal staging system for AL, making comparisons between studies and treatment centers difficult. Our group previously identified elevated serum cardiac troponin T (cTnT) as the most powerful predictor of overall survival. Others have reported that N-terminal pro-brain natriuretic peptide (NT-proBNP) is a valuable prognostic marker. We sought to develop a staging system for patients with AL. PATIENTS AND METHODS: Two hundred forty-two patients with newly diagnosed AL who were seen at the Mayo Clinic between April 1979 and November 2000, and who had echocardiograms and stored serum samples at presentation were eligible for this retrospective review. NT-proBNP measurements were performed on 242 patients in whom cTnT and cardiac troponin I (cTnI) had been previously run. Two prognostic models were designed using threshold values of NT-proBNP and either cTnT or cTnI (NT-proBNP < 332 ng/L, cTnT < 0.035 µg/L, and cTnI < 0.1 µg/L). Depending on whether NT-proBNP and troponin levels were both low, were high for only one level, or were both high, patients were classified as stage I, II, or III, respectively. RESULTS: Using the cTnT+NT-proBNP model 33%, 30%, and 37% of patients were stages I, II, and III, respectively, with median survivals of 26.4, 10.5, and 3.5 months, respectively. The alternate cTnI+NT-proBNP model predicted median survivals of 27.2, 11.1, and 4.1 months, respectively. CONCLUSION: Stratification of AL patients into three stages is possible with two readily available and reproducible tests setting the stage for more consistent and reliable cross comparisons of therapeutic outcomes.
Primary systemic amyloidosis (AL) is a plasma cell dyscrasia typically associated with short survival. However, prognosis is highly variable, making estimation of survival problematic. This obstacle complicates the ability to evaluate new therapies and to adequately inform patients of their prognosis. The extent of cardiac involvement is the most important determinant of clinical outcome.1-8 Other adverse predictors of survival include increased number of organ systems involved, time to referral center,9-13 bone marrow plasmacytosis greater than 30%, circulating plasma cells in the peripheral blood, elevated bone marrow plasma cell labeling index, Howell Jolly bodies on peripheral-blood film, and increased beta2-microglobulin.2 Recently, blood levels of cardiac troponins and N-terminal pro-brain natriuretic peptide (NT-proBNP) have been shown to provide potent prognostic information in patients with AL.14,15 We and others have developed algorithms to help predict survival based on these measurements. Cardiac troponins T (cTnT) and I (cTnI) are highly specific and sensitive markers of cardiac injury. Their high concentration in myocardium, high release ratio, and prolonged elevation after injury allows detection of even subtle myocyte damage.16 ProBNP is a 108-amino acid propeptide made by myocytes in response to increased wall stress. It is produced predominantly in the left ventricle, and when released, it is thought to be cleaved into two fragments, the active brain natriuretic peptide (amino acids 77 to 108) and a leader sequence known as NT-proBNP (amino acids 1 to 76). NT-proBNP has been shown to be a sensitive indicator of cardiac abnormalities. A simple yet robust way of stratifying patients that would predict survival would be helpful. We recently published two prognostic models based on cardiac troponin values.14 Although reproducible, these models are cumbersome. Cognizant of this limitation and of the NT-proBNP data reported by Palladini et al15 in patients with AL, we sought to develop a simpler model based on these two cardiac markers. The desired characteristics of this model were that it could be easily applied by clinicians, potentially allow for comparisons of outcomes across data sets, and be used to help inform patients of their prognosis.
Study Population Between April 1979 and November 2000, there were 261 patients with AL seen at the Mayo Clinic within 30 days of diagnosis who had echocardiograms performed within 30 days of presentation and serum samples stored within 7 days of presentation but who did not undergo peripheral-blood stem-cell transplantation at the Mayo Clinic. cTnT and cTnI measurements were performed on all 261 patients.14 NT-proBNP measurements were performed on 242 of these 261 patients. All but two patients had follow-up through April 2001. The diagnosis of AL was made as previously described.13 The study was approved by the Mayo Foundation Institutional Review Board. All patients provided written consent for review of their medical records. The definition of an involved organ was based on a positive biopsy of that organ or by accepted surrogate measurements. Renal involvement included a urine albumin greater than or equal to 0.5 g/24 hours or a creatinine of greater than or equal to 2 mg/dL. Cardiac involvement required a history of congestive heart failure, positive cardiac biopsy, cardiac interventricular septum more than 12 mm in the absence of uncontrolled hypertension, or left ventricular ejection fraction (LVEF) less than 55%. Hepatic involvement was defined as alkaline phosphatase greater than 1.5 times the institutional normal or hepatomegaly greater than 5 cm below the right costal margin. Peripheral neuropathy with no other identified cause was sufficient to document peripheral nerve involvement. Soft tissue, autonomic, pulmonary, and gastrointestinal involvement were not counted as organ involvement because of the relative lack of clinical significance for soft tissue involvement and the difficulties and subjectivity in diagnosing the other involvements.
Laboratory Methods
Statistical Analysis Thresholds for NT-proBNP were explored for best fit. The upper reference limit for normal women older than 50 years (331.5 ng/L) proved to be the best fit with the highest hazard ratio (HR; 2.05; 95% CI, 1.56 to 2.71). We compared differences between groups using the rank sum and Kruskal-Wallis tests. Fisher's exact test was used to test differences in categoric variables. Survival curves were constructed according to the Kaplan-Meier method. We identified predictors of survival in univariate and multivariate Cox proportional hazards models and calculated the relative hazards and 95% CIs using univariate and multivariate Cox proportional hazards regression models. Multivariate analyses were performed with the use of a stepwise forward regression model with an entry probability for each variable set at .05. All analyses were performed using Statview Software (SAS, Cary, NC).
The patient characteristics of the 242 patients separated by the proposed staging system are listed in Table 1. The median age was 64 years, with 24% of patients under age 55 years. Sixty-five percent of the patients were male. Seventy-six percent of the patients had clonal lambda plasma cell dyscrasia. Median values of cTnT, cTnI, and NT-proBNP were 0.02 µg/L, 0.11 µg/L, and 580 ng/L. The median LVEF and septal thickness were 58% and 14 mm, respectively. The median number of organs involved was two. Two hundred twenty-two patients (92%) have died. The median overall survival time was 9.2 months, with only 25% of patients alive at 30 months. Their overall survival was comparable to the 310 patients presenting to the Mayo Clinic within 30 days of their AL diagnosis during the same time period who did not have cardiac biomarkers measured.14
The prognostic significance of serum cTnT is demonstrated (Fig 1 and Table 2). Patients with a cTnT more than 0.035 µg/L have a proportional hazard of death of 2.38 (95% CI, 1.81 to 3.12) relative to those with lower values. The risk of cTnT elevations is not linear, and the HR of death when cTnT is greater than or equal to 0.1 µg/L is 3.4 (95% CI, 2.46 to 4.71). NT-proBNP levels are also valuable univariate predictors of survival (Fig 2 and Table 2). The threshold value of 332 ng/L provides a HR of 2.05 (95% CI, 1.56 to 2.71). Other prognostic features, including elevated cTnI, increased interventricular septal thickness, decreased LVEF, serum albumin, numbers of organs involved, and increased urinary monoclonal protein, are also relevant on univariate analyses (Table 2).
Interactions between levels of troponins and NT-proBNP were sought. In multivariable analysis (Table 3), NT-proBNP is an independent, although less powerful, predictor of survival (HR, 1.56; 95% CI, 1.13 to 2.15) than cTnT (HR, 1.7; 95% CI, 1.25 to 2.36); however, NT-proBNP is slightly more powerful (HR, 1.71; 95% CI, 1.28 to 2.28) than cTnI (HR, 1.44; 95% CI, 1.09 to 1.90). NT-proBNP is not an independent predictor of survival (P = .27) when added to our previously published model that incorporates transformed variables of cTnT, urine M spike, age, and LVEF.14 In contrast, NT-proBNP is significant when added to the cTnI model, which incorporates cTnI, urine M spike, age, LVEF, and interventricular septal wall thickness (P = .036; data not shown).
Because our previously published models are complex, we developed two simplified models incorporating NT-proBNP and troponin levels. Rather than using transformed or normalized variables, threshold values were chosen (cTnT < 0.035 µg/L and NT-proBNP < 332 ng/L). Patients were considered stage I-t (low risk) when both of the cardiac markers are below the threshold, stage II-t (intermediate risk) if only one marker is below the threshold; and stage III-t (high risk) if both markers are equal to or above the threshold (-t equals cTnT+NT-proBNP model). The characteristics of these three groups are listed in Table 1. Using the cTnT+NT-proBNP system, 33%, 30%, and 37% of patients were characterized as stage I-t, II-t, and III-t, respectively (Table 1). Median survival times for the three groups were 26.4, 10.5, and 3.5 months (P < .0001; Fig 3A). Of the stage II-t patients, 23% had elevated cTnT, and 77% had elevated NT-proBNP. The correlation between this new staging system and our original idealized cTnT model is 0.60 (P < .0001).14
Because some institutions measure cTnI rather than cTnT, a similar risk model using cTnI instead of cTnT was created for those in whom the cTnT assay is not available. The findings are similar. The threshold value of cTnI used was 0.1 µg/L, and the NT-proBNP threshold value remained at 332 ng/L. The numbers of stage I-i, II-i, and III-i patients were 59 (24%), 91 (38%), and 92 (38%), respectively (-i equals cTnI+NT-proBNP model). The respective median survival times for these three groups were 27.2, 11.1, and 4.1 months (P < .0001; Fig 3B). Of the stage II-i patients, 42% had elevated cTnI, and 58% had elevated NT-proBNP. The correlation between the idealized cTnI model14 and the cTnI+NT-proBNP model is 0.60 (P < .0001). The two new staging systems (including either cTnT or cTnI levels) were in agreement for the majority of cases. Regardless of whether cTnT or cTnI was used, there was concordant stage classification in 72% of patients (rho, 0.80; P < .0001). For the 68 patients with discordant stage assignment, the cTnI system upstaged 46 patients relative to the cTnT system and downstaged 22 patients. Twenty-eight of the stage I-t patients were classified as stage II-i. Eighteen of the stage II-t patients were classified as stage III-i. Seven of the stage II-t patients were classified as stage I-i, and 15 of the stage III-t patients were classified as stage II-i. The relationship between these biochemical cardiac markers and other prognostic factors was evaluated, and the results of the multivariate analysis are listed in Table 3. cTnT, NT-proBNP, LVEF, serum albumin level, and urine monoclonal protein were independent predictors of survival. Age, interventricular wall thickness, and number of organs involved by amyloid were no longer significant in the multivariable analysis. cTnI was not an independent variable once cTnT was in the model. An alternate model incorporating cTnI as a separate variable (without cTnT) is also shown. The correlation coefficients between NT-proBNP and cTnT, cTnI, interventricular septal thickness, and LVEF were 0.62 (P < .0001), 0.31 (P < .0001), 0.40 (P < .0001), and 0.48 (P < .0001), respectively. The troponin+NT-proBNP staging systems add information above and beyond the historical cardiac risk factors. Once patients were stratified by the cTnT+NT-proBNP staging system, the clinical and echocardiographic diagnosis of presence or absence of cardiac involvement added little to prognosis (Table 4). Seventeen additional patients who were not suspected of cardiac involvement by either standard echocardiographic or clinical grounds were stage II-t or III-t. The survival of these 17 patients was inferior to the 33 patients who were not suspected of cardiac involvement based on standard predictors but who were stage I-t (16.9 v 30.1 months, respectively; P = .03). Moreover, the 47 stage I-t patients who had echocardiographic or clinical features consistent with cardiac involvement had a markedly superior median survival (26.4 months) than patients with clinical or echocardiographic suspicion and elevated biomarkers (median survival, 5.4 months; P < .0001).
Once patients were stratified by cTnT+NT-proBNP stage, there was a modest difference in survival between the patients with normal or abnormal LVEF (P = .08). The exception was within the stage III-t group, in which median survival times were 6.8 versus 2.6 months for patients with normal and low LVEF, respectively (P = .002).
We previously demonstrated that cardiac troponins are the most powerful predictors of survival in patients with primary systemic AL.14 Subsequently, Palladini et al15 described NT-proBNP as being prognostic in amyloid patients as well. We now demonstrate that troponins and NT-proBNP are independent predictors of survival in patients with AL and can be incorporated into simple prognostic staging systems. NT-proBNP is elevated in a larger number of patients than cTnT, potentially reflecting other noncardiac processes such as volume overload or right ventricular stress caused by pulmonary disease.20 Palladini et al15 described a threshold value of 152 pmol/L (1,266 ng/L) as being 93% sensitive and 90% specific for detecting cardiac involvement based on clinical and echocardiographic findings. We found that a lower threshold (332 ng/L, the upper limit of normal for women older than 50 years) provided a better cutoff point (ie, a higher HR for mortality). Their concept of sensitivity and specificity in the context of determining cardiac involvement by amyloid uses circular logic. The gold standard for cardiac involvement is the heart biopsy, a test performed in a minority of patients (33 patients in the present study). Most experts would agree that in the absence of an endomyocardial biopsy, the most valuable test for cardiac involvement is the echocardiogram. Echocardiogram provides quantitative information, but coexisting hypertensive heart disease, coronary artery disease, and/or valvular abnormalities may confound its interpretation. Finally, given the variable course of the disease and the relatively slow rate of change of echocardiographic findings in these patients, it is not surprising that we found that echocardiography is less predictive of survival, which is the end point of choice in patients with amyloid. The risk of death in patients with primary systemic AL can be accurately stratified with our models using two simple measurements, serum troponins (preferably cTnT over cTnI) and NT-proBNP. Adding LVEF strengthens the prediction but adds another degree of complexity. The difference in concordance values between our original cTnT model14 versus the proposed staging system is 0.70 v 0.66, a relatively small sacrifice for simplicity. Although our staging systems do not directly supply information about renal, hepatic, or nervous system involvement, they predict survival because cardiac involvement is the primary determinant of prognosis. The systems we propose can be used to stratify patients in randomized clinical trials and to compare outcomes between therapeutic interventions when randomized clinical trials are not available. This is especially important in a disease with a low prevalence, where studies reporting treatment efficacy are often small and not randomized.11,21-29 Although not ideal, comparisons between studies can help to better understand the disease. Because organ response is delayed and evaluated with surrogate markers, survival is an important but potentially confounded end point. Often, to be included in a series, a patient must be fit enough both to travel to the tertiary center12,13 and to meet protocol eligibility criteria for the therapy.30 Better descriptors are required to define the patients reported from different centers, and our models could serve to provide this information. Historically, the dominant organ involved and the numbers of organs involved have been used to stratify patients. Although conceptually appealing for a staging system, designating the number and or types of organs involved by amyloid is a challenging exercise fraught with subjectivity.9,10,15,21 Because most major organs are not routinely biopsied, surrogate measurements are used to define functional involvement. Furthermore, histologic evidence of amyloid does not indicate the degree of involvement. Renal involvement is the most straightforward to characterize, in that patients have significant albuminuria. Even so, heart failure and pulmonary edema can result in modest proteinuria. Defining cardiac involvement has been even more challenging because different institutions use different criteria. Among the definitions for cardiac involvement are interventricular septal thickness more than 12 mm or more than 15 mm, diastolic dysfunction, LVEF less than 50% or less than 60%, low voltage ECG, low anterior forces on ECG, cardiac rhythm disturbances, unexplained fatigue, and the presence of interstitial edema or pleural effusions.10,15,27 In patients in their seventh and eighth decades of life, distinguishing amyloid from hypertensive cardiomyopathy or age-related rhythm disturbances may be formidable. Moreover, differentiating between the capillary leak into the pulmonary vasculature from severe nephrotic syndrome and true heart failure may also pose problems. Thus, we propose a staging system based on objective, easily reproducible, biochemical criteria. The International Prognostic Indices introduced to the field of lymphoma and myelodysplastic syndrome have revolutionized the interpretation and stratification of studies.31-33 The same should hold true for patients with AL. The staging systems we suggest use simple, readily available blood tests and should be easily generalizable. Although models combining cTnT and LVEF or NT-proBNP and LVEF seem roughly comparable to troponin+NT-proBNP (data not shown), we advocate the use of our model, which is based on two inexpensive, objective, and reproducible biochemical tests. Although we did not measure brain natriuretic peptide levels and, therefore, cannot comment on the ability to translate our findings for those without access to NT-proBNP assay, there is a good correlation between brain natriuretic peptide levels and NT-proBNP levels, both from a laboratory34 and a clinical standpoint.35 Our models meet the criteria needed for a prognostic index for staging and stratifying patients with AL. Confirmatory studies from other data sets are required. The fact that our prognostic index holds true in AL patients undergoing peripheral-blood stem-cell transplantation supports the utility of our system.36
The authors indicated no potential conflicts of interest.
We thank Carol Shipman for her years of work managing the database and Tara Phelps for collecting and storing the serum samples. We thank Joseph P. McConnell for running the troponin I assays. Roche (Indianapolis, IN) provided reagents for the NT-proBNP measurements. Dade (Newark, DE) and Roche provided reagents for the second- and third-generation troponin assays, respectively.
Supported in part by grant Nos. CA 62242 (R.A.K) and CA 91561 (A.D.) from the National Cancer Institute and the Robert A. Kyle Hematology Malignancies Fund, Mayo Foundation. Authors' disclosures of potential conflicts of interest are found at the end of this article.
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Copyright © 2004 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
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