All the global Cardiology information at your fingertips
Cardio Scientia is an exclusive cutomised solution that delivers key information from worldclass cardiology scientific journals and medical conferences in a simple, microlearning format.
Cardio Scientia is an exclusive cutomised solution that delivers key information from worldclass cardiology scientific journals and medical conferences in a simple, microlearning format.
CardioScientia collaborates with an esteemed scientific panel, consisting of leading experts from around the world.
MD. MPH
Director, Mount Sinai Fuster Heart Hospital Professor, Cardiovascular Medicine, Icahn School of Medicine at Mount Sinai, USA
MD
Prof. CE of Medicine Director, Hypertension Section, Dept. of Internal Medicine University of Pennsylvania School of Medicine, USA
FRCP, FESC, FACC, FAHA, FRSE, FMedSci
Professor of Medical Cardiology and honorary Consultant Cardiologist Queen Elizabeth University Hospital, Glasgow
MD
Assistant Professor of Clinical Medicine Keck School of Medicine University of Southern California, USA
Study from anywhere, using your device of choice.
Swift and user-friendly.
Content reviewed by peers.
Journals and congresses of exceptional quality.
Predicting diuretic response in different hemodynamic profiles is challenging in heart failure patients. Worsening renal function with diuretic therapy leads to decision making more difficult. Spot urinary sodium is an important milestone to determine decongestion therapy intensity. Serum biomarkers are widely used for diagnosis and follow up but more urinary biomarkers can be identified for risk stratification.
We enrolled 61 patients with decompansated heart failure on the first day of admission. Baseline characteristics and urinary biomarkers were recorded. Diuretic response was classified as good or poor response groups according to spot urine sodium within second hour after first intravenous diuretic administration. Quantitative variables were specified as mean ± standard deviation, categorical variables were specified as frequency and percentage. Mean differences were assessed with Student-T test and Welch test. Statistically significant parameters were also assessed with logistic regression analysis.