Publications by authors named "Celine Peters"
Objective: To develop a highly sensitive and specific blood biomarker panel that identifies febrile children with Kawasaki disease (KD).
Methods: We tested blood samples from a single-center cohort of KD (n = 50) and control febrile children (n = 100) to develop a biomarker panel from 11 candidates selected by their assay clinical availability. We used machine learning with least absolute shrinkage and selection operator regression to identify 11 blood markers with values incorporated into a model, which provided a binary predictive risk score for KD determined with Youden's index.
Article Synopsis
- Researchers tested a machine learning-based multibiomarker panel to predict major adverse cardiovascular events (MACE) in patients with suspected myocardial infarction (MI).
- The study involved 748 patients, assessing a prognostic panel made up of four biomarkers, with a focus on MACE occurrence within one year.
- The model showed a high predictive ability with an area under the curve of 0.86 and a 99.4% negative predictive value at the optimal cut-off, indicating that a high prognostic score correlates with an increased risk for MACE.
Objective: Hypertension affects 73 million Americans and costs the US healthcare system over $73 billion annually. Despite increasing awareness of the consequences of uncontrolled hypertension, numerous antihypertensive pharmacologic clinical studies and consistent updates to hypertension guidelines, control rates are suboptimal and have not met national goals. Among treated hypertensives, only 45% of women and 51% of men have reached blood pressure (BP) levels below 140/90 mmHg.
View Article and Find Full Text PDFHypertension is a chronic disease that is controlled in the United States in only 34% of those taking antihypertensive medications. Because hypertension is a hemodynamic disorder, the patient's hemodynamic profile before and after medical intervention may assist in the decision and evaluation of ongoing antihypertensive therapy. There are several medication classes used in the management of hypertension and it is challenging at best for the clinician to determine the optimal therapeutic combination of medications for each patient.
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