The American journal of medicine
-
Randomized Controlled Trial Pragmatic Clinical Trial
Do we need fasting before coronary angiography? The CORO-NF randomized pragmatic study.
Similar to procedures requiring general anesthesia, current guidelines recommend fasting for 6 hours for solids and for 2 hours for liquids prior to coronary angiography, but without data supporting such recommendation. The CORO-NF study aimed at assessing whether a shorter fasting period prior to elective coronary angiography associates with improved patient satisfaction without more complications compared with the standard fasting approach. ⋯ The significantly higher satisfaction scores among patients undergoing a shorter-than-recommended fasting period prior to coronary angiography, not counterbalanced by decreased safety, underscores the potential benefits of revising the traditional 6-hour fasting protocols.
-
Editorial Letter Randomized Controlled Trial
A Four-Year Randomized Controlled Trial of Hormone Replacement and Bisphosphonate, Alone or in Combination, in Women with Postmenopausal Osteoporosis - ScienceDirect.
-
Editorial Letter Randomized Controlled Trial
Combined therapy with estrogen and etidronate has an additive effect on bone mineral density in the hip and vertebrae: Four-year randomized study - ScienceDirect.
-
Randomized Controlled Trial
Allopurinol Prevents Cirrhosis-Related Complications: A Quadruple Blind Placebo-Controlled Trial.
Complications associated with liver cirrhosis are various and potentially fatal. The treatment options to counteract hepatic decompensation are limited. Therefore, the study aimed to explore the use of allopurinol in preventing the recurrence of liver cirrhosis-related complications. ⋯ NCT005545670.
-
Randomized Controlled Trial
Machine Learning Predicting Atrial Fibrillation as an Adverse Event in the Warfarin Versus Aspirin in Reduced Cardiac Ejection Fraction (WARCEF) Trial.
Atrial fibrillation and heart failure commonly coexist due to shared pathophysiological mechanisms. Prompt identification of patients with heart failure at risk of developing atrial fibrillation would allow clinicians the opportunity to implement appropriate monitoring strategy and timely treatment, reducing the impact of atrial fibrillation on patients' health. ⋯ The use of machine learning can prove useful in identifying novel cardiac risk factors. Our analysis has shown that "social factors," such as living alone, may disproportionately increase the risk of atrial fibrillation in the under-represented non-White patient group with heart failure, highlighting the need for more studies focusing on stratification of multiracial cohorts to better uncover the heterogeneity of atrial fibrillation.