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Prediction of acute coronary syndromes by urinary proteome analysis.

ABSTRACT: Identification of individuals who are at risk of suffering from acute coronary syndromes (ACS) may allow to introduce preventative measures. We aimed to identify ACS-related urinary peptides, that combined as a pattern can be used as prognostic biomarker. Proteomic data of 252 individuals enrolled in four prospective studies from Australia, Europe and North America were analyzed. 126 of these had suffered from ACS within a period of up to 5 years post urine sampling (cases). Proteomic analysis of 84 cases and 84 matched controls resulted in the discovery of 75 ACS-related urinary peptides. Combining these to a peptide pattern, we established a prognostic biomarker named Acute Coronary Syndrome Predictor 75 (ACSP75). ACSP75 demonstrated reasonable prognostic discrimination (c-statistic = 0.664), which was similar to Framingham risk scoring (c-statistics = 0.644) in a validation cohort of 42 cases and 42 controls. However, generating by a composite algorithm named Acute Coronary Syndrome Composite Predictor (ACSCP), combining the biomarker pattern ACSP75 with the previously established urinary proteomic biomarker CAD238 characterizing coronary artery disease as the underlying aetiology, and age as a risk factor, further improved discrimination (c-statistic = 0.751) resulting in an added prognostic value over Framingham risk scoring expressed by an integrated discrimination improvement of 0.273 ± 0.048 (P < 0.0001) and net reclassification improvement of 0.405 ± 0.113 (P = 0.0007). In conclusion, we demonstrate that urinary peptide biomarkers have the potential to predict future ACS events in asymptomatic patients. Further large scale studies are warranted to determine the role of urinary biomarkers in clinical practice.

SUBMITTER: Htun NM

PROVIDER: S-EPMC5342174 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Prediction of acute coronary syndromes by urinary proteome analysis.

Htun Nay M NM Magliano Dianna J DJ Zhang Zhen-Yu ZY Lyons Jasmine J Petit Thibault T Nkuipou-Kenfack Esther E Ramirez-Torres Adela A von Zur Muhlen Constantin C Maahs David D Schanstra Joost P JP Pontillo Claudia C Pejchinovski Martin M Snell-Bergeon Janet K JK Delles Christian C Mischak Harald H Staessen Jan A JA Shaw Jonathan E JE Koeck Thomas T Peter Karlheinz K

PloS one 20170308 3

Identification of individuals who are at risk of suffering from acute coronary syndromes (ACS) may allow to introduce preventative measures. We aimed to identify ACS-related urinary peptides, that combined as a pattern can be used as prognostic biomarker. Proteomic data of 252 individuals enrolled in four prospective studies from Australia, Europe and North America were analyzed. 126 of these had suffered from ACS within a period of up to 5 years post urine sampling (cases). Proteomic analysis o ...[more]

PMID: 28273075

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Project description:BACKGROUND: Despite advances in pharmacologic therapy and invasive management strategies for patients with non-ST-segment elevation acute coronary syndromes (NSTE ACS), these patients still suffer substantial morbidity and mortality. OBJECTIVE: The objective of this study was to analyze independent predictors of 1-year mortality in patients with high-risk NSTE ACS. DESIGN AND PARTICIPANTS: A total of 9,978 patients were assigned to receive enoxaparin or unfractionated heparin (UFH) in this prospective, randomized, open-label, international trial. MEASUREMENTS: Vital status at 1 year was collected. Univariable and multivariable predictors of 1-year mortality were identified. Three different multivariable regression models were constructed to identify: (1) predictors of 30-day mortality; (2) predictors of 1-year mortality; (3) predictors of 1-year mortality in 30-day survivors. The last model is the focus of this paper. RESULTS: Overall, 9,922 (99.4%) of patients had 1-year follow-up. Of the 56 patients (37 UFH-assigned and 19 enoxaparin-assigned) without 1-year data, 11 patients were excluded because of withdrawal of consent, and 45 could not be located. One-year mortality was 7.5% (7.7% enoxaparin-assigned patients; 7.3% UFH-assigned patients; P = 0.4). In patients surviving 30 days after enrollment, independent predictors of 1-year mortality included factors known at baseline such as increased age, male sex, decreased weight, having ever smoked, decreased creatinine clearance, ST-segment depression, history of diabetes, history of angina, congestive heart failure, coronary artery bypass grafting, increased heart rate, rales, increased hematocrit, lowered hemoglobin, and higher platelet count. Factors predictive of mortality during the hospitalization and 30-day follow-up period were decreased weight at 30 days from baseline, atrial fibrillation, decreased nadir platelet, no use of beta-blockers and statins up to 30 days, and not receiving an intervention (c-index = 0.82). CONCLUSIONS: Easily determined baseline clinical characteristics can be used to predict 1-year mortality with reasonable discriminative power. These models corroborate prior work in a contemporary aggressively managed population. A model to predict 1-year mortality in patients surviving at least 30 days may be quite helpful to healthcare providers in setting expectations and goals with patients after ACS.

Project description:ContextConflicting information exists about whether sex differences modulate short-term mortality following acute coronary syndromes (ACS).ObjectivesTo investigate the relationship between sex and 30-day mortality in ACS, and to determine whether this relationship was modified by clinical syndrome or coronary anatomy using a large database across the spectrum of ACS and adjusting for potentially confounding clinical covariates.Design, setting, and participantsA convenience sample of patients pooled from 11 independent, international, randomized ACS clinical trials between 1993 and 2006 whose databases are maintained at the Duke Clinical Research Institute, Durham, North Carolina. Of 136 247 patients, 38 048 (28%) were women; 102 004 (26% women) with ST-segment elevation myocardial infarction (STEMI), 14 466 (29% women) with non-STEMI (NSTEMI), and 19 777 (40% women) with unstable angina.Main outcome measureThirty-day mortality following ACS.ResultsThirty-day mortality was 9.6% in women and 5.3% in men (odds ratio [OR], 1.91; 95% confidence interval [CI], 1.83-2.00). After multivariable adjustment, mortality was not significantly different between women and men (adjusted OR, 1.06; 95% CI, 0.99-1.15). A significant sex by type of ACS interaction was demonstrated (P < .001). In STEMI, 30-day mortality was higher among women (adjusted OR, 1.15; 95% CI, 1.06-1.24), whereas in NSTEMI (adjusted OR, 0.77; 95% CI, 0.63-0.95) and unstable angina, mortality was lower among women (adjusted OR, 0.55; 95% CI, 0.43-0.70). In a cohort of 35 128 patients with angiographic data, women more often had nonobstructive (15% vs 8%) and less often had 2-vessel (25% vs 28%) and 3-vessel (23% vs 26%) coronary disease, regardless of ACS type. After additional adjustment for angiographic disease severity, 30-day mortality among women was not significantly different than men, regardless of ACS type. The relationship between sex and 30-day mortality was similar across the levels of angiographic disease severity (P for interaction = .70).ConclusionsSex-based differences existed in 30-day mortality among patients with ACS and vary depending on clinical presentation. However, these differences appear to be largely explained by clinical differences at presentation and severity of angiographically documented disease.

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Prediction of acute coronary syndromes by urinary proteome analysis.

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Prediction of acute coronary syndromes by urinary proteome analysis.

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