Molecular diagnosis of long QT syndrome (LQTS) can affect clinical management, including risk stratification and selection of pharmacotherapy on the basis of the type of ion channel affected, but results from the current gene panel testing requires 4 16 weeks before return to clinicians.
In addition, we discuss how a better understanding of clinical and basic pathogenic mechanisms can help to inform prognostication, decision-making, risk stratification, treatment selection, and improve study design for clinical trials.
This raises the possibility for this non-invasive metabolic imaging modality to aid in the risk stratification and selection of appropriate therapy.
Geographic variations in MRSA epidemiology may warrant the development of local prediction rules to increase the accuracy of risk stratification for selection of patients for MRSA screening.
Altogether, PIB-positive patients with MCI of the amnestic subtype are likely to have early AD, and amyloid imaging will probably have an important role in risk stratification and selection of patients who may benefit from disease-specific therapies.
Identification of parameters and biomarkers that can collectively predict prognosis for AJCC stage III patients would facilitate more accurate risk stratification, rational selection of patients who may benefit from adjuvant therapies, and development of screening and follow up protocols.
This study demonstrated the feasibility of using archival FFPE cell blocks from FNAs to establish RNA-based molecular signatures unique to pancreatic adenocarcinoma with potential applications in clinical trials for risk stratification, patient selection, and target validation.
19, 24, 28– 34 It is however still unclear whether MRIPH can predict recurrent stroke alone, which would need to be demonstrated before MRIPH could be used for risk stratification and selection criteria for invasive therapy.
In addition, this document is intended to expand understanding of patient risk stratification and case selection.
In addition, this document is intended to expand the understanding of patient risk stratification and case selection.
