Abstract
INTRODUCTION: Heart failure (HF) poses a substantial global health burden due to its high prevalence and severe clinical outcomes. Early diagnosis is critical to optimize management and reduce the economic impact of HF. This scoping review consolidates existing knowledge on strategies to improve HF diagnosis, emphasizing the utility of biomarkers, imaging techniques, artificial intelligence (AI), and care pathways. METHODS: A systematic search of PubMed/Medline and Scopus databases identified 198 relevant studies published since 2010, focusing on adult populations without a prior HF diagnosis. The inclusion criteria centered on initiatives aimed at enhancing diagnostic processes. RESULTS: Results indicate that biomarkers, particularly natriuretic peptides such as N-terminal prohormone of BNP (NT-proBNP), are central to early HF detection, showing high sensitivity. Emerging biomarkers, like microRNAs, offer potential for improved diagnostic accuracy. Imaging techniques, including echocardiography and lung ultrasound, remain primary tools for assessing cardiac function, while AI applications in imaging and electronic health records represent a rapidly evolving field. These tools show promising potential for early identification of HF patients, although most require further validation and standardization before routine clinical implementation. Care pathways emphasizing high-resolution consultations and integrated diagnostic tools enable prompt HF diagnosis, crucial for initiating early treatments. DISCUSSION: By implementing these diagnostic strategies, particularly in high-risk populations such as those with comorbid conditions, there is potential to significantly advance patient outcomes and healthcare resource management. Nevertheless, it is essential to translate these advances and discoveries into clinical practice, considering healthcare context and socioeconomic limitations, and promoting international consensus to ensure their global adoption. In conclusion, ongoing research and refinement of these diagnostic tools are imperative to effectively address the growing challenge of HF.