Primary Care Strategy Fails to Reduce Kidney-Dysfunction Triad Hospitalizations
Using a personalized algorithm to identify primary care patients with chronic kidney disease (CKD), type 2 diabetes, and hypertension (the kidney-dysfunction triad) — plus practice facilitators to help providers deliver guideline-based interventions — didn’t move the needle for reducing hospitalizations, the ICD-Pieces study found. At 1 year, the hospitalization rate of patients in the intervention […]
Tool Predicts PsA Progression From Psoriasis, No Fancy Biomarkers Needed
A risk-prediction algorithm was modestly accurate for identifying patients with psoriasis who are likely to progress to psoriatic arthritis (PsA), researchers reported. Based on patients’ demographics and clinical presentations routinely assessed during office visits, the model was about 72% effective in predicting 1-year risk of progression, and 75% effective (using slightly different input data) for […]
Predicting sudden cardiac arrest: Distinguishing between treatable and untreatable sudden cardiac arrest
Clinician-scientists in the Smidt Heart Institute at Cedars-Sinai developed a clinical algorithm that, for the first time, distinguishes between treatable sudden cardiac arrest and untreatable forms of the condition. The findings, published today in the peer-reviewed Journal of the American College of Cardiology: Clinical Electrophysiology, have the potential to enhance prevention of sudden cardiac arrest […]