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Expanded algorithm for managing patients with acute decompensated heart failure

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Abstract

Heart failure is a complex disease process, the manifestation of various cardiac and noncardiac abnormalities. General treatment approaches for heart failure have remained the same over the past decades despite the advent of novel therapies and monitoring modalities. In the same vein, the readmission rates for heart failure patients remain high and portend a poor prognosis for morbidity and mortality. In this context, development and implementation of improved algorithms for assessing and treating HF patients during hospitalization remains an unmet need. We propose an expanded algorithm for both monitoring and treating patients admitted for acute decompensated heart failure with the goal to improve post-discharge outcomes and decrease rates of rehospitalizations.

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Correspondence to Joyce N. Njoroge.

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Dr. Muthiah Vaduganathan is supported by the NHLBI T32 postdoctoral training grant (T32HL007604); Dr. Andrew P. Ambrosy is supported by the NHLBI T32 postdoctoral training grant (5T32HL069749); Dr. Sean P. Collins is supported by grants through the AHA, PCORI, NIH, AHRQ, and Novartis and is a consultant for Novartis.

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Njoroge, J.N., Cheema, B., Ambrosy, A.P. et al. Expanded algorithm for managing patients with acute decompensated heart failure. Heart Fail Rev 23, 597–607 (2018). https://doi.org/10.1007/s10741-018-9697-9

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