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Browsing by Author "Greene, Stephen J."
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Item Heart failure with reduced ejection fraction and the intersection of cardio-renal-metabolic medicine #CaReMe(Oxford University Press, 2022-12-19) Marx, Nikolaus; Cheng, Alice Y. Y.; Agarwal, Rajiv; Greene, Stephen J.; Abuhantash, Hadi; Medicine, School of MedicineDiabetes and chronic kidney disease (CKD) are important comorbidities in patients with heart failure (HF) that can complicate the clinical management and have major implications for morbidity and mortality. In addition, the presence of these comorbidities, particularly advanced CKD, is a limitation for the implementation of guideline-directed therapies in patients with HF with reduced ejection fraction (HFrEF). Though clinical trials in patients with HFrEF trials included varying percentages of patients with diabetes and/or CKD, patients with advanced CKD have been excluded in most HF studies. Thus, management recommendations for these patients often have to be extrapolated from subgroup analyses. This article summarizes pathophysiological aspects of the interaction of HFrEF, CKD, and diabetes and addresses clinical aspects for the screening of these comorbidities. Moreover, current treatment options for patients with HFrEF and CKD and/or diabetes are discussed and novel strategies such as the use of the selective mineralocorticoid receptor antagonist Finerenone are addressed.Item Predictors of Post-discharge Mortality Among Patients Hospitalized for Acute Heart Failure(Radcliffe Cardiology, 2017-11) Chioncel, Ovidiu; Collins, Sean P.; Greene, Stephen J.; Pang, Peter S.; Ambrosy, Andrew P.; Antohi, Elena-Laura; Vaduganathan, Muthiah; Butler, Javed; Gheorghiade, Mihai; Emergency Medicine, School of MedicineAcute Heart Failure (AHF) is a " multi-event disease" and hospitalisation is a critical event in the clinical course of HF. Despite relatively rapid relief of symptoms, hospitalisation for AHF is followed by an increased risk of death and re-hospitalisation. In AHF, risk stratification from clinically available data is increasingly important in evaluating long-term prognosis. From the perspective of patients, information on the risk of mortality and re-hospitalisation would be helpful in providing patients with insight into their disease. From the perspective of care providers, it may facilitate management decisions, such as who needs to be admitted and to what level of care (i.e. floor, step-down, ICU). Furthermore, risk-stratification may help identify patients who need to be evaluated for advanced HF therapies (i.e. left-ventricle assistance device or transplant or palliative care), and patients who need early a post-discharge follow-up plan. Finally, risk stratification will allow for more robust efforts to identify among risk markers the true targets for therapies that may direct treatment strategies to selected high-risk patients. Further clinical research will be needed to evaluate if appropriate risk stratification of patients could improve clinical outcome and resources allocation.