Key messageWe present a relational database containing compositional and structural characteristics of 575 permanent 100 m2 shrubland plots distributed in the NE of Iberian peninsula. The datasets provide valuable information about shrubland fuels to improve fire danger prediction, study vegetation dynamics in relation to drought and fire or test aerial-based methodologies with ground-based information. Dataset access is at : https://doi.org/10.5281/zenodo.7685487 and associated metadata are available at https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/f55fcde4-113e-40f9-9a35-a2e65b0ee951.
BACKGROUNDHeart failure (HF) is a major and growing medical and economic problem, with high prevalence and incidence rates worldwide. Cardiac Biomarker is emerging as a novel tool for improving management of patients with HF.METHODSThis is a real-world, before-and after-intervention trial, that assesses the impact of a personalized follow-up procedure for HF on patient’s outcomes and care associated cost, based on a clinical model of risk stratification and personalized management according to that risk. A total of 192 patients were enrolled and studied before and after an intervention. The primary objective was the rate of readmissions, due to a HF event, post-intervention compared to pre-intervention. Secondary outcomes compared the rate of ED visits and the number of patients who had reduced NYHA score pre and post-intervention. A cost- analysis was also performed on these data.RESULTSAdmission rates significantly decreased by 41% after the intervention (total length of stay was reduced by 55%). The rate of ED visits was reduced by 55%. Thirty-one percent of patients had an improved functional class score after the intervention, whereas only 7.8% got worse. The overall cost saving associated with the intervention was €139,717.65 for the whole group over 1 year.CONCLUSIONSA personalized follow-up of HF patients led to important outcome benefits and resulted in cost savings, mainly due to the reduction of patient hospitalization readmissions and a significant reduction of care- associated costs, suggesting that greater attention should be given to this high-risk cohort to minimize the risk of hospitalization readmissions.
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