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Terry M Therneau

Publications and source records attributed to Terry M Therneau.

At least 19 recordsLinked to original sources

A method for automatically interpreting mass spectra of 18O-labeled isotopic clusters.

16O/18O labeling is one differential proteomics technology among many that promises diagnostic and prognostic biomarkers of disease. Although the incorporation of 18O in the C-terminal carboxyl group during endoproteinase digestion in the presence of H2 18O makes the process of labeling facile, the ease and effectiveness of label incorporation have in some regards been outweighed by the difficulties in interpreting the resulting spectra. Complex isotope patterns result from the composition of unlabeled (18O(0)), singly labeled (18O(1)), and doubly labeled species (18O(2)) as well as contributions from the naturally occurring isotopes (e.g. 13C and 15N). Moreover because labeling is enzymatic, the number of 18O atoms incorporated can vary from peptide to peptide. Finally it is difficult to distinguish highly up-regulated from highly down-regulated or C-terminal peptides. We have developed an algorithm entitled regression analysis applied to mass spectrometry (RAAMS) that automatically, rapidly, and confidently interprets spectra of 18O-labeled peptides without requiring chemical composition information derived from product ion spectra. The algorithm is able to measure the effective 18O incorporation rate due to variable enzyme substrate specificity of the pseudosubstrate during the isotope exchange reaction and corrects for the 18O(0) abundance that remains in the labeled sample when using a two-step digestion/labeling procedure. We have also incorporated a method for distinguishing pure 18O(0) from pure 18O(2) peptides utilizing impure H2 18O. The algorithm operates on centroided peak lists and is therefore very fast: nine chromatograms of, on average, 1,168 spectra and containing, on average, 6,761 isotopic clusters were interpreted in, on average, 45 s per chromatogram. RAAMS is fast enough (average, 38 ms/spectrum) to allow the possibility of performing information-dependent MS/MS on a chromatographic time scale on species exceeding predetermined ratio thresholds. We describe in detail the operation of the algorithm and demonstrate its use on datasets with known and unknown ratios.

Algorithms↗

Global transcriptional effects of PEG-IFN-alpha and ribavirin on peripheral blood cells obtained from patients with chronic hepatitis C.

The global transcriptional profile during the first 4 weeks of treatment with pegylated interferon alfa (PEG-IFN-alpha) therapy for chronic hepatitis C (CHC) was evaluated. cDNA array technology was used to assess expression of 10,918 human genes in peripheral blood cells obtained from 17 CHC patients at days 0, 7, and 28 following treatment with PEG-IFN-alpha and ribavirin. Hierarchical average linkage clustering identified seven temporal profiles of differential expression comprising 148 genes. Gene expression profiles were comparable between the PEG-IFN-alpha-2a and PEG-IFN-alpha-2b therapy. Genes representing a broad range of molecular functions were differentially regulated with distinct temporal patterns of expression. The initial global response to interferon treatment appears to be a net up-regulation of genes, consistent with gene responses identified previously in vitro, though by 4 weeks an overall down-regulation of genes was observed. Novel transcription factors potentially involved in secondary gene regulation cascades, a potential dsRNA receptor and members of the ubiquitin signaling, including a novel predicted deubiquitinating peptidase were all identified as being up-regulated upon treatment with IFN. The overall findings provide new light on possible physiological effects of IFN-alpha and open new lines of investigations on the mode of action of PEG-IFN-alpha combination therapy.

Journal Article↗

Joint estimation of calibration and expression for high-density oligonucleotide arrays.

MOTIVATION: The need for normalization in microarray experiments has been well documented in the literature. Currently, many analysis methods treat normalization and analysis as a series of steps, with summarized data carried forward to the next step. RESULTS: We present a unified algorithm which incorporates normalization and class comparison in one analysis using probe level perfect match and mismatch data. The algorithm is based on calibration models common to most biological assays, and the resulting chip-specific parameters have a natural interpretation. We show that the algorithm fits into the statistical generalized linear models framework, describe a practical fitting strategy and present results of the algorithm applied to an example dataset as well as based on metrics used in affycomp. The algorithm ranks amongst the top third of the affycomp competitors, performing best in measures of bias. AVAILABILITY: R functions are available on request from the authors.

Algorithms↗

Immunoglobulin free light chains and solitary plasmacytoma of bone.

An abnormal serum immunoglobulin free light chain (FLC) ratio at diagnosis may identify risk of progression to myeloma in patients with solitary bone plasmacytoma (SBP). In the cohort of 116 patients, 43 have progressed to myeloma, with a median time to progression of 1.8 years. The FLC ratio was determined in all 116 patients on serum collected at time of diagnosis and was abnormal in 54 patients (47%). An abnormal FLC ratio was associated with a higher risk of progression to myeloma (P = .039). The risk of progression at 5 years was 44% in patients with an abnormal serum FLC ratio at diagnosis compared with 26% in those with a normal FLC ratio. One to 2 years following diagnosis, a persistent serum M protein level of 5 g/L (0.5 g/dL) or higher was an additional risk factor for progression. A risk stratification model was constructed using the 2 variables of FLC ratio and M protein level: patients with a normal FLC ratio at baseline and M protein level less than 5 g/L (0.5 g/dL) at 1 to 2 years following diagnosis (low risk, n = 31); with either risk factor abnormal (intermediate risk, n = 26); and with both an abnormal FLC ratio and M protein level of 5 g/L (0.5 g/dL) or higher (high risk, n = 18). The corresponding progression rates at 5 years were significantly different in the low, intermediate, and high groups: 13%, 26%, and 62%, respectively (P < .001).

Adult↗

Prevalence of monoclonal gammopathy of undetermined significance.

BACKGROUND: The prevalence of monoclonal gammopathy of undetermined significance (MGUS), a premalignant plasma-cell disorder, among persons 50 years of age or older has not been accurately determined. We used sensitive laboratory techniques to ascertain the prevalence of MGUS in a large population in a well-defined geographic area. METHODS: We identified all living residents of Olmsted County, Minnesota, as of January 1, 1995. We obtained serum that remained after the performance of routine clinical tests at Mayo Clinic or asked subjects for whom such serum was unavailable to provide a sample. Agarose-gel electrophoresis was performed on all serum samples, and any serum sample with a discrete band of monoclonal protein or thought to have a localized band was subjected to immunofixation. RESULTS: Serum samples were obtained from 21,463 of the 28,038 enumerated residents 50 years of age or older (76.6 percent). MGUS was identified in 694 (3.2 percent) of these persons. Age-adjusted rates were higher in men than in women (4.0 percent vs. 2.7 percent, P<0.001). The prevalence of MGUS was 5.3 percent among persons 70 years of age or older and 7.5 percent among those 85 years of age or older. The concentration of monoclonal immunoglobulin was less than 1.0 g per deciliter in 63.5 percent and at least 2.0 g per deciliter in only 4.5 percent of 694 persons. The concentration of uninvolved immunoglobulins was reduced in 27.7 percent of 447 persons tested, and 21.5 percent of 79 tested had a monoclonal urinary light chain. CONCLUSIONS: Among residents of Olmsted County, Minnesota, MGUS was found in 3.2 percent of persons 50 years of age or older and 5.3 percent of persons 70 years of age or older.

Age Distribution↗

Deaths on the liver transplant waiting list: an analysis of competing risks.

The usual method of estimating survival probabilities, namely the Kaplan-Meier method, is suboptimal in the analysis of deaths on the transplant waiting list. Death, transplantation, and withdrawal from list must all be considered. In this analysis, we applied the competing risk analysis method, which allows evaluating these end points individually and simultaneously, to compare the risk of waiting list death across era, blood types, liver disease diagnosis, and severity (Model for End-stage Liver Disease; MELD). Of 861 patients registered on the waiting list at Mayo Clinic Rochester between 1990 and 1999, 657 (76%) patients underwent transplantation, 82 (10%) died while waiting, 41 (5%) withdrew from the list, and 81 (9%) patients were still waiting as of February 2002. The risk of death at 3 years was 10% by the competing risk analysis. During the study period, the median time to transplantation increased from 45 to 517 days. In univariate analyses, there was no significant difference in the risk of death by era of listing (P = .25) or blood type (P = .31), whereas the risk of death was significantly higher in patients with alcohol-induced liver disease and those with higher MELD score (P < .01). A multivariable analysis showed that after adjusting for MELD, blood type, and diagnosis, patients listed in the latter era had higher mortality. In conclusion, the competing risk analysis method is useful in estimating the risk of death among patients awaiting liver transplantation.

Adult↗

Prognostic model for disease-specific and overall mortality in newly diagnosed symptomatic patients with Waldenstrom macroglobulinaemia.

We sought to define prognostic factors for survival in Waldenstrom macroglobulinaemia (WM). Of 585 patients diagnosed with WM and seen at Mayo Clinic between 1960 and 2001, 337 symptomatic patients met the inclusion criteria and were analysed for overall and disease-specific survival. The median survival from the time of diagnosis was 6.4 years. The median disease-specific survival was 11.2 years. Univariate analysis for overall survival identified the following adverse prognostic factors: age >65 years (P < 0.001), organomegaly (P < 0.001), elevated beta2-microglobulin (<0.001), anaemia (Hb < 10.0 g/dl) (P = 0.01), leucopenia (<4.0 x 10(9)/l) (P = 0.03), thrombocytopenia (<150 x 10(9)/l) (P = 0.01), serum albumin <40 g/l (P = 0.001), and quantitative IgM < 0.4 g/l (P = 0.04). On multivariate analysis, age >65 years and organomegaly were associated with poor prognosis. A prognostic model was built based on these two variables. Patients at high risk (1-2 risk factors, median survival 4.2 years) experienced worse survival than patients at low risk (0 risk factors, median survival 10.6 years), P < 0.001. The prognostic model was validated in 204 patients who were not included in the analysis cohort. Beta2-microglobulin > or =4 mg/l was associated with a threefold increase in the risk of death when added to the prognostic model. We describe a simple prognostic model for overall survival for newly diagnosed patients with WM.

Adult↗

Alcohol intake in adolescence and mammographic density.

Adolescent exposures may be important in the development of breast cancer later in life. We examined the association of adolescent alcohol consumption and adult mammographic density, a strong risk factor for breast cancer. Women within the Minnesota Breast Cancer Family Cohort with detailed mammogram and risk factor information (n = 1,893) formed our sample. Breast cancer cases were excluded. Adolescent alcohol consumption (before age 18) was solicited through a mailed questionnaire. Percent density (PD) was estimated using the computer-assisted thresholding program, Cumulus. Statistical analyses were performed using linear mixed effect models. Women who reported ever drinking alcohol before age 18 (n = 390; 21%) had a higher unadjusted PD than women who never drank during adolescence (mu(unadj) = 26.5% vs. 22.2%), but this difference disappeared with adjustment for risk factors for mammographic density (mu(adj) = 21.0% vs. 21.2%, p = 0.94). Adult PD was not associated with age at initiation, amount of alcohol consumed at one sitting or frequency of alcohol use before age 18. The lack of differences was seen across strata of menopausal status. There was suggestion of higher PD among heavy and more frequent drinkers (24.0%, 95% CI 21.1-26.8%) compared to lighter (21.3%, 95% CI 20.3-22.3%) and never drinkers (21.4%, 95% CI 20.9-21.9%) and also among regular adolescent drinkers who were daily or weekly adult drinkers (25.0%, 95% CI 23.0-27.0%) compared to less regular drinkers in these 2 time periods (23.0-23.4%). However, these associations were not statistically significant (p = 0.27 and p = 0.22, respectively). In summary, there was no evidence that adolescent alcohol use was associated with large and persistent effects on adult PD.

Adolescent↗

Serum free light chain ratio is an independent risk factor for progression in monoclonal gammopathy of undetermined significance.

We hypothesized that the presence of monoclonal free kappa or lambda immunoglobulin light chains in monoclonal gammopathy of undetermined significance (MGUS), as detected by the serum free light chain (FLC) assay increases the risk of progression to malignancy. Of 1384 patients with MGUS from Southeastern Minnesota seen at the Mayo Clinic from 1960 to 1994, baseline serum samples obtained within 30 days of diagnosis were available in 1148. At a median follow-up of 15 years, malignant progression had occurred in 87 (7.6%) patients. An abnormal FLC ratio (kappa-lambda ratio < 0.26 or > 1.65) was detected in 379 (33%) patients. The risk of progression in patients with an abnormal FLC ratio was significantly higher compared with patients with a normal ratio (hazard ratio, 3.5; 95% confidence interval [CI], 2.3-5.5; P < .001) and was independent of the size and type of the serum monoclonal (M) protein. Patients with an abnormal serum FLC ratio, non-immunoglobulin G (non-IgG) MGUS, and a high serum M protein level (> or = 15 g/L) had a risk of progression at 20 years of 58% (high-risk MGUS) versus 37% with any 2 of these risk factors (high-intermediate risk), 21% with one risk factor (low-intermediate risk), and 5% when none of the risk factors were present (low risk).

Aged↗

Experimental design and analysis of antibody microarrays: applying methods from cDNA arrays.

Protein expression microarrays, also called antibody arrays, represent a new technology that allows the expression level of proteins to be assessed directly. As is also the case with gene expression microarrays, it is hoped that protein expression microarrays will aid in biomarker discovery, predicting disease outcomes and response to treatments, and detecting molecular mechanisms and/or pathways associated with a particular disease state. However, accurately achieving these aims is dependent upon suitable experimental designs, normalization procedures that eliminate systematic bias, and appropriate statistical analyses to assess differential expression or expose expression patterns. In the last five years, a large amount of research has been devoted to two-color cDNA arrays to improve experimental design, normalization and statistical analyses to assess differential expression and classification. These methods are directly applicable to two-color antibody arrays. The objective of this article is to discuss statistical methods that have been developed for cDNA arrays and describe how the methods can be directly applied to antibody arrays.

Antibodies↗

How much of the increased incidence of heart failure in rheumatoid arthritis is attributable to traditional cardiovascular risk factors and ischemic heart disease?

OBJECTIVE: To compare the proportion of the risk for the development of heart failure (HF) that is attributable to traditional cardiovascular (CV) risk factors, ischemic heart disease (IHD), and alcohol abuse between subjects with and subjects without rheumatoid arthritis (RA). METHODS: A population-based inception cohort of RA patients was assembled along with a similar cohort of subjects without RA. All individuals were followed up through their complete medical records, until HF incidence, death, migration, or January 1, 2001. The attributable risk of HF was estimated as the difference between the observed cumulative incidence of HF in each cohort (estimated from multivariable Cox models and adjusted for the competing risk of death) and the predicted cumulative incidence of HF in the absence of risk factors, with results expressed as a percentage of the observed cumulative incidence. RESULTS: A total of 575 RA subjects and 583 non-RA subjects (mean age 57 years, 73% women) without HF at incidence/index date had a mean followup of 15.1 and 17.0 years, respectively. During that period, 165 RA and 115 non-RA subjects had a first episode of HF, with a cumulative incidence of 36.3% and 20.4%, respectively, at age 80 years. Among non-RA subjects, 77% of the HF at age 80 years was attributable to CV risk factors, IHD, and alcohol abuse combined, whereas among RA subjects, only 54% of the HF at age 80 years was attributable to these factors (P < 0.01). CONCLUSION: The excess risk of HF among RA patients is not explained by an increased frequency or effect of CV risk factors and IHD.

Adult↗

Random-effects Cox proportional hazards model: general variance components methods for time-to-event data.

Proportional hazards regression models are commonly used to study factors associated with time-to-event data. Because many complex genetic diseases exhibit variation in age at onset, it is important to have the capability to perform survival analyses on data collected from individuals whose observations are correlated due to shared genes or environment. While there are widely accepted methods for variance components analysis for simple quantitative traits, a parallel methodology for survival data has not been available. This manuscript outlines a method to perform variance component analyses under general random effects proportional hazards models. This method is based on a Laplace approximation, and makes computation for correlated time-to-event data feasible. The correlated frailty models described here can be used to perform genetic analyses, and other analyses with structured random effects, on age-at-onset data in a manner analogous to standard variance components methods for quantitative traits. We illustrate the use of the method by examining the heritability of breast cancer in a large familial cohort study. We also perform variance components linkage analyses on data simulated for the Twelfth Genetic Analysis Workshop (GAW12), and further examine the performance of this method for linkage analysis in a simulation study. The breast cancer analyses support significant heritability of disease age-at-onset that is of moderate size. The variance component linkage analyses successfully identify the location of the disease genes that were simulated to have a direct impact on age-at-onset. The methods outlined here make it possible to perform general variance components analyses on time-to-event endpoints, even on large data sets, in a computationally efficient manner.

Age of Onset↗

Mortality and hospital utilization for hepatocellular carcinoma in the United States.

BACKGROUND & AIMS: The incidence of hepatocellular carcinoma (HCC) has been increasing in the United States. Although resource-intensive treatment modalities have been increasingly applied, these patients still have poor survival. We examined 2 nationally representative databases, the Multiple Cause of Death file and the Nationwide Inpatient Sample database, to examine trends in mortality and hospital service utilization related to HCC. METHODS: In both databases, a priori criteria were used to identify cases of HCC. All other available diagnostic fields were examined to characterize coexistent liver disease. Age-, sex-, and race-specific mortality from HCC was calculated, and temporal changes in mortality rates were evaluated using the multivariable Poisson model. Hospital service utilization was estimated based on length of stay, total hospitalization charges, and principal procedures. RESULTS: The age-, sex-, and race-specific mortality from HCC increased from 1.54 to 2.58 per 100,000 per year between 1980 and 1998. Male sex, African and Asian race, and increasing age were also associated with higher mortality. The estimated total charge for HCC hospitalizations nationwide increased from 241 million US dollars in 1988 to 509 million US dollars in 2000 after inflation adjustment. Commonly employed procedures in 2000 included angiography/embolization, resection, local ablative therapy, and liver transplantation. CONCLUSIONS: In the recent past, mortality and hospital service utilization related to HCC increased substantially. Closer epidemiologic surveillance to understand causation of HCC at the population level and to help implement primary and secondary prevention is urgently warranted.

Adult↗

Multicentre versus single centre approach to rare diseases: the model of systemic light chain amyloidosis.

BACKGROUND: Early diagnosis and supportive therapy are important in primary systemic amyloidosis (AL). In 1986, a national network was started in Italy to increase the awareness of medical professionals, achieve early diagnoses, and provide locally qualified care. We compared the AL patient population observed at a referral center, Mayo Clinic, with that recruited through the Italian network. METHODS: All the patients diagnosed with AL between 1988 and 1998 at Mayo Clinic or in any of the centers of the Italian Amyloidosis Study Group were included. FINDINGS: The median survival of Italian patients was 30 months versus 12 months in the Mayo cohort (P<0.001). Mayo Clinic patients were older (66.4 vs. 60.1 y, P<0.001). In the Italian cohort, dominant kidney involvement was more frequent (49.3% vs. 27.8%, P<0.001), while in the Mayo group more patients had dominant cardiac amyloidosis (37.4% vs. 27.8%, P=0.03). Italian patients were more likely to have kidney involvement without heart involvement (43.7% vs. 19.6%, P<0.001). Among Italian patients, 78.9% received alkylating agents versus 60.9% in the Mayo cohort (P<0.001). The multivariate analysis showed that age, performance status, dominant heart involvement, >or=2 organs involved, and treatment with alkylating agents independently predicted survival. This study shows that AL patient populations may differ significantly between centers according to their accrual systems, with possible impact on treatment trials.

Amyloidosis↗

Employment and health insurance in long-term liver transplant recipients.

This study was conducted to examine factors affecting health insurance and employment status in long-term liver transplant (OLT) recipients. All adult primary OLT recipients surviving at least 1 year were surveyed using existing questionnaires. Out of 217 eligible recipients, 186 (86%) responded. The median age of respondents was 55 years with a median survival after OLT of 3.4 years. The majority (98%) of respondents had health insurance coverage. Thirty-four (18%) reported having lost and/or having been denied health insurance since OLT, and 63 (34%) switched health insurance since OLT. Of the 179 that reported employment status, 98 (55%) were employed, including homemakers and students, while 39 (22%) were retired and 42 (24%) unemployed. The majority (76%) of those unemployed cited poor health as the reason for unemployment, followed by 5 (12%) who feared loss of disability or Medicaid benefits. Fourteen reported to have been denied or terminated from employment because of their transplant. In the regression analysis, employment prior to transplantation (odds ratio (OR)=5.1), age less than 57 (OR=5.1), physical function score>52.4 (OR=3.6) and general health score>33.3 (OR=7.6) were significantly associated with employment. These data may help identify high-risk pre-OLT patients for intervention measures such as work rehabilitation.

Adult↗

Prognostic factors and predictors of outcome of immunoglobulin M monoclonal gammopathy of undetermined significance.

Monoclonal gammopathy of undetermined significance (MGUS) of the immunoglobulin M (IgM) class was diagnosed at our institution in 213 patients who resided in the 11 counties of southeastern Minnesota from 1960 to 1994. The median age at diagnosis was 74 years and the median concentration of serum M-protein was 1.2 g/dL. The 213 patients were monitored for 1567 person-years (median, 6.3 years), during which 71% died. During follow-up, non-Hodgkin's lymphoma (n = 17), Waldenstrom's macroglobulinemia (n = 6), primary amyloidosis (n = 3), and chronic lymphocytic leukemia (n = 3) developed in 29 patients (14%). The number of patients with progression to lymphoid neoplasms was 15.9 times that expected in the general population. The cumulative probabilities of progression to one of these disorders were 10% at 5 years, 18% at 10 years, and 24% at 15 years. The overall average risks for progression were approximately 1.5% per year. Rates of death resulting from other diseases (cardiovascular, cerebrovascular, etc.) were 31% at 5 years, 52% at 10 years, and 65% at 15 years. Multivariate analysis revealed that only the concentration of serum M-protein at diagnosis and the serum albumin value were independent predictors of progression. It was concluded that the patients with IgM MGUS should be followed indefinitely.

Adult↗

Incidence of multiple myeloma in Olmsted County, Minnesota: Trend over 6 decades.

BACKGROUND: Previous studies have indicated that the incidence and mortality rates for multiple myeloma have increased in the United States. The authors reported on the incidence of multiple myeloma in Olmsted County, Minnesota, between 1991 and 2001 and on trends in multiple myeloma incidence over the last 56 years. METHODS: Using the files of the Mayo Clinic and the Olmsted Medical Center (Rochester, MN), the authors identified all residents of Olmsted County who had multiple myeloma, suspected myeloma, or a related disorder. Reports of all laboratory determinations, in addition to autopsy findings and death certificates, were obtained. The criteria for the diagnosis of multiple myeloma have not changed during the last 6 decades. RESULTS: All but 1 of the 47 residents with multiple myeloma first diagnosed between 1991 and 2001 were recognized antemortem. Fifty-five percent had a previous monoclonal gammopathy of undetermined significance, smoldering multiple myeloma, or solitary plasmacytoma before multiple myeloma was diagnosed. From 1991 to 2001, the overall annual incidence rate, age-adjusted to the 2000 U.S. population, was 4.3 per 100,000 (95% confidence interval, 3.0-5.5 per 100,000). Poisson regression analysis showed no statistically significant trend in Olmsted County incidence rates over 56 years. In similar fashion, the authors adjusted multiple myeloma incidence rates from nine other studies worldwide for which adequate data were available and documented similar findings in each case, except for one study that included patients with smoldering multiple myeloma. CONCLUSIONS: The overall incidence of multiple myeloma in Olmsted County, Minnesota, has not changed in almost 6 decades. The apparent increase in incidence elsewhere is unexplained but probably is attributable to improvements in diagnostic techniques, particularly in older patients.

Adolescent↗

Serum cardiac troponins and N-terminal pro-brain natriuretic peptide: a staging system for primary systemic amyloidosis.

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 microg/L, and cTnI < 0.1 microg/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.

Adult↗