Title |
Current Management and Future Directions of Heart Failure With Preserved Ejection Fraction: a Contemporary Review
|
---|---|
Published in |
Current Treatment Options in Cardiovascular Medicine, March 2018
|
DOI | 10.1007/s11936-018-0623-1 |
Pubmed ID | |
Authors |
Chayakrit Krittanawong, Marrick L. Kukin |
Abstract |
Heart failure with preserved ejection fraction (HFpEF), a complex and debilitating syndrome, is commonly seen in elderly populations. Exacerbation of HFpEF is among the most common reasons for hospital admission in the USA. The high rate of morbidity and mortality from this condition underscores the fact that HFpEF is heterogeneous, complex, and poorly characterized. Randomized, controlled trials have been very successful at identifying treatments for HF with reduced ejection fraction (HFrEF), but effective treatment options for HFpEF are lacking. Here, we discuss (1) the pathophysiology of HFpEF, (2) a standardized diagnostic and therapeutic approach, (3) a comparison of the management of recent guidelines, and (4) challenges and future directions for HFpEF management. The authors believe that it is important to identify new subtypes of HFpEF to better classify genotypes and phenotypes of HFpEF and to develop novel targeted therapies. It is our hypothesis that big data analytics will shine new light on unique HFpEF phenotypes that better respond to treatment modalities. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 20% |
Student > Bachelor | 5 | 11% |
Student > Master | 5 | 11% |
Student > Doctoral Student | 4 | 9% |
Lecturer | 2 | 5% |
Other | 7 | 16% |
Unknown | 12 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 20% |
Computer Science | 7 | 16% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Nursing and Health Professions | 2 | 5% |
Social Sciences | 2 | 5% |
Other | 9 | 20% |
Unknown | 13 | 30% |