Sentence examples for risk stratification techniques from inspiring English sources

However, novel biomarker discovery and new risk stratification techniques have led to enhanced detection and diagnostic strategies.

Methods The Heinz Nixdorf RECALL (Risk Factors, Evaluation of Coronary Calcium and Lifestyle) study is a population-based, prospective cohort study of the comparative value of modern risk stratification techniques for "hard" cardiac events.

The EUTrigTreat clinical study—a multicentre observational risk stratification study—investigates whether comprehensive assessment of multiple electrophysiological (EP) risk stratification techniques that are independently associated with risk can improve risk stratification to improve patient selection for ICD therapy.

From this, we will identify where there is a need for a systematic review of the literature (eg, there may be sufficient literature on validated risk stratification techniques) and where gaps in the literature exist and primary prospective studies are needed.

With these advances in risk stratification and surgical technique, there have been calls for a move away from the use of neoadjuvant chemoradiotherapy in selected cases [ 64].

The following data was collected: patient details; operation, anaesthetist and surgeon; anaesthetic technique; preoperative risk stratification (Parsonnet and Euro-scores); time to extubation; principal reason for continued ventilation (recorded every 2 h for 24 h); and hospital discharge date.

Future experiments need to prove the ability to use these techniques for rupture risk stratification in AAA patients.

New developments in CT, such as ECG-gated CTA and dual-source CT, have the potential to further help us in the risk stratification of PE as these new techniques give us the possibility to obtain both functional and dynamic information at the same time in patients with suspected PE.

The integration of anatomical and physiological information of the plaque using PET/CT with specific plaque target agents may provide additional information for the clinician by the improved risk stratification and diagnostic accuracy of integrated techniques.

We will concentrate on methods of risk stratification and the implementation of non-invasive techniques in patients with type 2 diabetes, as the value of these techniques has scarcely been studied in type 1 diabetes.

The conditional models usually define different risk sets for different recurrent events using stratification techniques [ 8, 10].