Sentence examples for multiple biomarkers at from inspiring English sources

Multiple biomarkers at admission are associated with angiographic, electrocardiographic, and imaging cardiovascular mechanistic markers of outcomes in patients undergoing primary percutaneous coronary intervention for acute ST-elevation myocardial infarction.

In this exploratory study we chose to include a sample size of 131 patients to be able to test multiple biomarkers at a reasonable cost and generate useful hypotheses for future research.

To obtain an integrated assessment of the impact of pollution on populations, the use of multiple biomarkers at different levels of biological organization has been strongly suggested [ 2, 7, 11].

However, requiring positivity for multiple biomarkers at screening quickly limits the number of eligible participants, highlighting the tradeoff between recruiting from a large pool of lower-risk participants versus a small pool of higher-risk participants.

SPR biosensors are capable of detecting multiple biomarkers at once and can be of high sensitivity overcoming traditional ELISA while significantly decreasing the cost and time required for the assay [ 31– 31].

In conclusion, by assessing multiple biomarkers at discharge, our data suggest that, when NTproBNP levels are between 2000 and 8000 ng/l, a composite risk factor score that includes the levels of TnT, CysC and age provided superior risk stratification for mortality compared with NTproBNP alone.

To further elucidate the value of biomarkers in the post-AMI risk assessment, a recently published large study by O'Malley et al. compared the prognostic performance of multiple biomarkers sampled at enrollment among 4,432 prospectively recruited subjects with NSTE-ACS [ 20].

An electrogenerated chemiluminescence (ECL) biosensor array for the individual and simultaneous detection of multiple biomarkers has been developed at first time on the basis of the aptamer-based biosensor incorporating a versatile signal probe.

In studies looking at multiple biomarkers or using proteomic, genomic, or other multi-analyte approaches, data analysis and study design are critical because of the potential for false-positive discovery in these studies; validation using multiple sample sets is essential.

Multiple biomarkers have been proposed for identifying patients at risk of developing the syndrome of acute kidney injury (AKI) [ 1].

These challenges included the possibility of having to evaluate multiple biomarkers and the existence of few validated assays at the start of the study.