Title |
Expanded algorithm for managing patients with acute decompensated heart failure
|
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Published in |
Heart Failure Reviews, April 2018
|
DOI | 10.1007/s10741-018-9697-9 |
Pubmed ID | |
Authors |
Joyce N. Njoroge, Baljash Cheema, Andrew P. Ambrosy, Stephen J. Greene, Sean P. Collins, Muthiah Vaduganathan, Alexandre Mebazaa, Ovidiu Chioncel, Javed Butler, Mihai Gheorghiade |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Colombia | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 9 | 15% |
Researcher | 8 | 13% |
Other | 6 | 10% |
Student > Master | 5 | 8% |
Student > Postgraduate | 4 | 7% |
Other | 6 | 10% |
Unknown | 23 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 38% |
Nursing and Health Professions | 8 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Unspecified | 1 | 2% |
Materials Science | 1 | 2% |
Other | 1 | 2% |
Unknown | 25 | 41% |