Rationale and design of the French Observatory of Acute Heart Failure (OFICA2).

BACKGROUND: Acute heart failure (AHF) is a leading cause of hospitalization and mortality - especially in patients aged≥65 years in high-income countries - and represents a high healthcare burden. In the past decade, the epidemiology and management of heart failure (HF) has changed, with the emergence of new medical and interventional therapeutics, but up-to-date real-life data are scarce. AIMS: The main objectives are to describe baseline characteristics (with an emphasis on lifestyle, cognitive status, HF knowledge and treatment adherence), management, and in-hospital and mid-term outcomes of AHF patients in France. Secondary objectives are to investigate determinants of prognosis, modalities of treatment and follow-up, and identify gaps between guidelines and real-life management. METHODS: OFICA2 is a prospective multicentre observational survey that enrolled 1513 patients hospitalized for AHF in 80 participating centres in France during March and April 2021. The diagnosis of AHF was made according to the European Society of Cardiology guidelines definition. Inclusion criteria were age≥18years, health coverage and consent to participate. Detailed information was collected prospectively starting at admission. Thanks to direct linking with the French National Health Database, the anteriority up to 2years before inclusion, as well as a 3-year follow-up is specified for each patient and includes individual information on death, hospital admissions, major clinical events, drug delivery and use of reimbursed health resources. CONCLUSION: This cohort provides a representative snapshot on contemporary AHF, with a particular focus on self-care determinants, and will improve knowledge about AHF presentation, management and outcomes.

Use of ADAM-C and CHA2DS2-VASc scores to predict complex aortic atheroma after brain ischemia: A prospective observational study.

BACKGROUND AND AIMS: Complex aortic atheroma (CAA) is a common cause of acute brain ischemia (BI), including ischemic stroke (IS) and transient ischemic attack (TIA), and is associated with recurrence. The CHA2DS2-VASc score is a useful tool for predicting stroke in patients with atrial fibrillation (AF), and can also predict cardiovascular events in other populations, including non-AF populations. The ADAM-C score is a new risk score for predicting the diagnostic yield of transesophageal echocardiography (TEE) after BI. We aimed to evaluate the ability of CHA2DS2-VASc and ADAM-C scores to predict CAA after BI. METHODS: This prospective, multicenter, observational study included 1479 patients aged over 18 years who were hospitalized for BI. CAA was defined as the presence of one or more of the following criteria: thrombus, ulcerated plaque, or plaque thickening ≥ 4 mm. RESULTS: CAA was diagnosed in 216 patients (14.6%). CHA2DS2-VASc and ADAM-C scores were significantly higher in the CAA group versus the non-CAA group (P < .0001 for both). The CHA2DS2-VASc and ADAM-C scores appear to be good predictors of CAA (AUC 0.699 [0.635, 0.761] and 0.759 [0.702, 0.814], respectively). The sensitivity, specificity, predictive positive value (PPV), and negative predictive value (NPV) of the scores for detecting CAA were 94%, 22%, 17%, and 96%, respectively, for a CHA2DS2-VASc score < 2, and 90%, 46%, 22%, and 96%, respectively, for an ADAM-C score < 3 CONCLUSIONS: CHA2DS2-VASc and ADAM-C scores are able to predict CAA after BI. CHA2DS2-VASc < 2 and ADAM-C < 3 both have an interesting NPV of 96%.

ADAM-C score: New risk score for predicting diagnostic yield of transesophageal echocardiography after cerebral ischemia.

BACKGROUND AND AIM: The clinical utility of transesophageal echocardiography (TEE) after brain ischemia (BI) remains a matter of debate. We aimed to evaluate the clinical impact of TEE and to build a score that could help physicians to identify which patients should better benefit from TEE. METHODS: This prospective, multicenter, observational study included patients over 18 years old, hospitalized for BI. TEE findings were judged discriminant if the results showed important information leading to major changes in the management of patients. Most patients with patent foramen ovale were excluded. Variables independently associated with a discriminant TEE were used to build the prediction model. RESULTS: Of the entire population (1479 patients), 255 patients (17%) were classified in the discriminant TEE group. Five parameters were selected as predictors of a discriminant TEE. Accordingly, the ADAM-C score could be calculated as follows: Score = 4 (if age ≥60) + 2 (if diabetes) + 2 (if aortic stenosis from any degrees) + 1 (if multi-territory stroke) + 2 (if history of coronary artery disease). At a threshold lower than 3, the sensitivity, specificity, positive predictive value, and negative predictive value (NPV) of detecting discriminant TEE were 88% (95% CI 85-90), 44% (95% CI 41-47), 21% (95% CI 19-27), and 95% (95% CI 94-97), respectively. CONCLUSION: A simple score based on clinical and transthoracic echocardiographic parameters can help physicians to identify patients who might not benefit from TEE. Indeed, a score lower than 3 has an interesting NPV of 95% (95% CI 94-97).