Kurtis R. Bray
Beckman Coulter
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Publication
Featured researches published by Kurtis R. Bray.
Urology | 2000
William J. Catalona; Paula C. Southwick; Kevin M. Slawin; Alan W. Partin; Michael K. Brawer; Robert C. Flanigan; Anup Patel; Jerome P. Richie; Patrick C. Walsh; Peter T. Scardino; Paul H. Lange; Gail H. Gasior; Kathleen G. Loveland; Kurtis R. Bray
OBJECTIVES Various methods have been proposed to increase the specificity of prostate-specific antigen (PSA), including age-specific PSA reference ranges, PSA density (PSAD), and percent free PSA (%fPSA). In this multicenter study, we compared these methods for their utility in cancer detection and their ability to predict pathologic stage after radical prostatectomy in patients with clinically localized, Stage T1c cancer. METHODS Seven hundred seventy-three men (379 with prostate cancer, 394 with benign prostatic disease), 50 to 75 years old, from seven medical centers were enrolled in this prospective blinded study. All subjects had a palpably benign prostate, PSA 4.0 to 10.0 ng/mL, and a histologically confirmed diagnosis. Hybritechs Tandem PSA and free PSA assays were used. RESULTS %fPSA and age-specific PSA cutoffs enhanced PSA specificity for cancer detection, but %fPSA maintained significantly higher sensitivities. Age-specific PSA cutoffs missed 20% to 60% of cancers in men older than 60 years of age. %fPSA and PSAD performed equally well for detection (95% sensitivity) if cutoffs of 25% fPSA or 0.078 PSAD were used. The commonly used PSAD cutoff of 0.15 detected only 59% of cancers. %fPSA and PSAD also produced similar results for prediction of the post-radical prostatectomy pathologic stage. Patients with cancer with higher %fPSA values (greater than 15%) or lower PSAD values (0.15 or less) tended to have less aggressive disease. CONCLUSIONS The results of this study demonstrated that cancer detection (sensitivity) is significantly higher with %fPSA than with age-specific PSA reference ranges. %fPSA and PSAD provide comparable results, suggesting that %fPSA may be used in place of PSAD for biopsy decisions and in algorithms for prediction of less aggressive tumors since the determination of %fPSA does not require ultrasound.
American Journal of Hematology | 2011
Barry S. Skikne; Kari Punnonen; Paul H. Caldron; Michael T. Bennett; Mari Rehu; Gail H. Gasior; Janna S. Chamberlin; Linda A. Sullivan; Kurtis R. Bray; Paula C. Southwick
Anemia of chronic disease (ACD) and iron deficiency anemia (IDA) are the most prevalent forms of anemia and often occur concurrently. Standard tests of iron status used in differential diagnosis are affected by inflammation, hindering clinical interpretation. In contrast, soluble transferrin receptor (sTfR) indicates iron deficiency and is unaffected by inflammation. Objectives of this prospective multicenter clinical trial were to evaluate and compare the diagnostic accuracy of sTfR and the sTfR/log ferritin index (sTfR Index) for differential diagnosis using the automated Access® sTfR assay (Beckman Coulter) and sTfR Index. We consecutively enrolled 145 anemic patients with common disorders associated with IDA and ACD. Subjects with IDA or ACD + IDA had significantly higher sTfR and sTfR Index values than subjects with ACD (P < 0.0001). ROC curves produced the following cutoffs for sTfR: 21 nmol/L (or 1.55 mg/L), and the sTfR Index: 14 (using nmol/L) (or 1.03 using mg/L). The sTfR Index was superior to sTfR (AUC 0.87 vs. 0.74, P < 0.0001). Use of all three parameters in combination more than doubled the detection of IDA, from 41% (ferritin alone) to 92% (ferritin, sTfR, sTfR Index). Use of sTfR and the sTfR Index improves detection of IDA, particularly in situations where routine markers provide equivocal results. Findings demonstrate a significant advantage in the simultaneous determination of ferritin, sTfR and sTfR Index. Obtaining a ferritin level alone may delay diagnosis of combined IDA and ACD. Am. J. Hematol., 2011.
Blood | 2010
Jan W. Gratama; Michael Boeckh; Ryotaro Nakamura; Jan J. Cornelissen; Rik A. Brooimans; John A. Zaia; Stephen J. Forman; Karl Gaal; Kurtis R. Bray; Gail H. Gasior; Christopher S. Boyce; Linda A. Sullivan; Paula C. Southwick
Cytomegalovirus (CMV) infection is an important cause of morbidity and mortality in hematopoietic stem cell transplant recipients despite the introduction of posttransplantation viral monitoring and preemptive antiviral therapy. We evaluated the use of HLA class I tetramers in monitoring CMV-specific T-cell recovery to predict patients at risk for CMV-related complications. This prospective multicenter clinical trial obtained nearly 1400 tetramer/allele results in more than 800 biweekly blood samples from 83 patients monitored for 1 year after transplantation. Major HLA types were included (A*0101, A*0201, B*0702, B*0801, B*3501). iTAg MHC Tetramers (Beckman Coulter) were used to enumerate CMV-specific CD8(+) T cells by flow cytometry using a single-platform absolute counting method. Assay variability was 8% or less and results were available within 3 hours. Delayed recovery of CMV-specific T cells (< 7 cells/μL in all blood samples during the first 65 days after transplantation) was found to be a significant risk factor for CMV-related complications; these patients were more likely to develop recurrent or persistent CMV infection (relative risk 2.6, CI 1.2-5.8, P = .01) than patients showing rapid recovery, which was associated with protection from CMV-related complications (P = .004). CMV tetramer-based immune monitoring, in conjunction with virologic monitoring, can be an important new tool to assess risk of CMV-related complications and to guide preemptive therapeutic choices.
Clinical Chemistry | 2014
Nader Rifai; Patrick M. Bossuyt; John P. A. Ioannidis; Kurtis R. Bray; Lisa M. McShane; Robert M. Golub; Lotty Hooft
In 2004, the International Committee of Medical Journal Editors (ICMJE)10 issued guidelines requiring registration of all clinical trials that initiated recruitment after July 1, 2005. Clinical trials were to be registered in one of the primary registries in the WHO Registry Network (16 registries as of April 2014) or in ClinicalTrials.gov. Key information about each study, including eligibility criteria and primary outcome measures, are recorded in the registry before the trial starts recruiting participants. The impetus for this action was to improve the ethical standards in the conduct and reporting of research and to assist the biomedical publishing community in the production and distribution of accurate and unbiased articles. Although ICMJE has targeted only clinical trials, publication bias and selective reporting are recognized problems throughout the entire biomedical literature. Positive findings are more likely to be reported than negative ones. Some authors of studies with negative findings perform multiple comparisons and numerous subgroup analyses not defined in the study protocol, to generate positive results, while failing to report the negative observations. Reported outcomes and primary hypotheses differ from those defined in the study protocol. Authors and sponsors, rather than journal editors, appear to be primarily responsible for the reporting bias, a practice that distorts the practice of evidence-based medicine and diminishes the value of systematic reviews and metaanalyses. Selective and incomplete reporting and the failure to report negative findings lead to unnecessary duplication of efforts. Such practices corrupt the validity of literature-based estimates of the risk–benefit ratio of interventions and of the performance of medical tests and, ultimately, can erode public trust in the biomedical research community. On the basis of these considerations a movement has started that is gaining momentum toward expanding the registration of studies involving human study participants beyond clinical trials. In this Q&A, the issue …
Clinical Biochemistry | 2015
Alan B. Storrow; Richard M. Nowak; Deborah B. Diercks; Adam J. Singer; Alan H.B. Wu; Erik Kulstad; Frank LoVecchio; Christian Fromm; Gary F. Headden; Tracie Potis; Christopher Hogan; Jon W. Schrock; Daniel P. Zelinski; Marna Rayl Greenberg; Robert H. Christenson; James C. Ritchie; Janna S. Chamberlin; Kurtis R. Bray; Daniel W. Rhodes; Deirdre Trainor; Paula C. Southwick
OBJECTIVES We investigated absolute and relative cardiac troponin I (TnI) delta changes, optimal sampling protocols, and decision thresholds for early diagnosis of myocardial infarction (MI). Serial cardiac biomarker values demonstrating a rise and/or fall define MI diagnosis; however the magnitude of change, timing, and diagnostic accuracy of absolute versus relative (percentage) deltas remains unsettled. METHODS We prospectively measured TnI (AccuTnI+3™, Beckman Coulter) at serial time intervals in 1929 subjects with chest pain or equivalent symptoms of acute coronary syndrome at 14 medical centers. Diagnosis was adjudicated by an independent central committee. RESULTS Elevated TnI above a threshold of 0.03ng/mL demonstrated significant diagnostic efficacy (AUC 0.96). For patients with TnI<0.03ng/mL and symptom onset≥8h, 99.1% (NPV) were diagnosed with conditions other than MI. Absolute delta performed significantly better than relative delta at 1-3h (AUC 0.84 vs 0.69), 3-6h (0.85 vs 0.73), and 6-9h (0.91 vs 0.79). Current recommendations propose ≥20% delta within 3-6h; however, results were optimized using an absolute delta of 0.01 or 0.02ng/mL. Sensitivity results for absolute delta at 1-3h and 3-6h (75.8%, 78.3%) were superior to relative delta (48.0%, 61.3%). NPV (rule out) was 99.6% when baseline TnI<0.03ng/mL and absolute delta TnI<0.01ng/mL. CONCLUSIONS Absolute delta performed significantly better than relative delta at all time intervals. Baseline TnI and absolute delta may be used in conjunction to estimate probability of MI. Consensus recommendations are supported for sampling on admission and 3h later, repeated at 6h in patients when clinical suspicion remains high.
Clinical Biochemistry | 2015
Alan B. Storrow; Robert H. Christenson; Richard M. Nowak; Deborah B. Diercks; Adam J. Singer; Alan H.B. Wu; Erik Kulstad; Frank LoVecchio; Christian Fromm; Gary F. Headden; Tracie Potis; Christopher Hogan; Jon W. Schrock; Daniel P. Zelinski; Marna Rayl Greenberg; James C. Ritchie; Janna S. Chamberlin; Kurtis R. Bray; Daniel W. Rhodes; Deirdre Trainor; Paula C. Southwick
OBJECTIVES To compare emergency department TnI serial sampling intervals, determine optimal diagnostic thresholds, and report representative diagnostic performance characteristics for early rule-in and rule-out of MI. METHODS We prospectively measured TnI (AccuTnI+3™, Beckman Coulter) at serial time intervals in 1929 subjects with chest pain or equivalent ischemic symptoms suggestive of acute coronary syndromes at 14 medical centers. Diagnosis was adjudicated by an independent central committee. RESULTS TnI ≥0.03ng/mL provided 96.0% sensitivity and 89.4% specificity at 1-3h after admission, and 94.9% sensitivity and 86.7% specificity at 3-6h. NPV (rule-out, non-MI) was 99.5% at 1-3h, and 99.0% at 3-6h when TnI is <0.03ng/mL. NPV was 99.1% when TnI is <0.03ng/mL and time of symptom onset is ≥8h. Approximately 50-58% (PPV) of patients with TnI ≥0.03ng/mL were diagnosed with MI, depending upon time from onset or admission; PPVs emphasize the importance of serial samples and delta TnI (rising or falling pattern) when low cutoffs are used. Nevertheless, even a single elevated TnI value increased the risk of MI. As TnI values rose, the probability of MI increased. Values ≥0.20ng/mL were associated with nearly 90% probability of MI. CONCLUSIONS We report a large multicenter prospective adjudicated trial assessing troponin for early rule-in and rule-out using the Universal Definition of MI and conducted in primary care hospital-associated emergency departments. Our study demonstrates high diagnostic accuracy at early observation times, and reinforces consensus recommendations for sampling on admission and 3h later, repeated at 6h when clinical suspicion remains high.
Clinical Biochemistry | 2016
Wesley Elon Fleming; Aliya S Ferouz-Colborn; Michael K. Samoszuk; Armaghan Azad; Jiuliu Lu; John S. Riley; Amabelle B. Cruz; Susann Podolak; Doni J. Clark; Kurtis R. Bray; Paula C. Southwick
OBJECTIVE/BACKGROUND Obstructive sleep apnea (OSA) is a common disorder, affecting over 100 million adults. Untreated OSA leads to serious health consequences and perturbations in endocrine, immune, inflammatory, and metabolic systems. Study objectives are to evaluate the association between OSA and biomarkers, and to test the hypothesis that a combination of markers may be useful in screening for OSA. PATIENTS/METHODS A multicenter trial was conducted enrolling symptomatic male patients with suspected OSA. All subjects underwent in-laboratory overnight polysomnography. A non-symptomatic control group was also obtained. Eleven biomarkers were tested: HbA1c, CRP, EPO, IL-6, uric acid, cortisol, hGH, prolactin, testosterone, DHEA (Beckman Coulter UniCel DxC 600i Synchron® Access® Clinical Systems), IGF-1. RESULTS 73 male subjects were enrolled; 26 had moderate/severe OSA. ROC curve analysis showed HbA1c, CRP, EPO, IL-6, and Uric Acid (AUCs: 0.76, 0.73, 0.65, 0.65, 0.61) were superior to the Epworth Sleepiness Scale (AUC: 0.52). Concurrent elevation of HbA1c and CRP provide even greater predictive power. A combination of elevated HbA1c, CRP, and EPO provided 0.08 increase in AUC (0.84 [0.75 - 0.94]) over individual markers (p<0.05), with high sensitivity (85%), and specificity (79%) for moderate/severe OSA. CONCLUSIONS OSA induces characteristic endocrine, immune, inflammatory, and metabolic disturbances that can be detected with blood biomarkers. These biomarkers are superior to standard screening questionnaires. Various clusters of these biomarkers have an even greater association with OSA and thus may represent physiologic signatures of the disorder that may have value in initial screening for OSA as well as for follow-up of therapy response.
Clinical Chemistry | 2001
Robert J. Laffin; Daniel W. Chan; Milenko J. Tanasijevic; George A. Fischer; Wayne Markus; Joan Miller; Pat Matarrese; Lori J. Sokoll; Debra J. Bruzek; Julie Eneman; Janice Nelson; Kurtis R. Bray; Jay Huang; Kathleen G. Loveland
Archive | 1980
Alan J. Polito; Kurtis R. Bray
Clinical Chemistry | 1999
Daniel W. Chan; Cynthia Kelley; Timothy L. Ratliff; Dymphna D’Agostino; Julie Ritchey; Dolores J. Lamb; Josie Beck; Nadean Lott; Mark H. Wener; Phyllis Daum; Robert E. Henkin; Diane N. Kaske; Debbie W. Golightly; James H. McBride; Grace Layco; May K. Ota; Milenko J. Tanasijevic; Christine Grudzien; David L. Woodrum; Kurtis R. Bray; Paula C. Southwick; Gail H. Gasior; Kathleen G. Loveland