A diagnostic algorithm for pulmonary hypertension due to left heart disease in resource-limited settings: Can busy clinicians adopt a simple, practical approach?

Journal article


Dzudie, Anastase, Kengne, Andre Pascal, Lamont, Kim, Dzekem, Bonaventure Suiru, Aminde, Leopold Ndemnge, Abanda, Martin Hongieh, Thienemann, Friedrich and Sliwa, Karen. (2018). A diagnostic algorithm for pulmonary hypertension due to left heart disease in resource-limited settings: Can busy clinicians adopt a simple, practical approach? Cardiovascular Journal of Southern Africa (South Africa). 29(1), pp. 1 - 7. https://doi.org/10.5830/CVJA-2018-042
AuthorsDzudie, Anastase, Kengne, Andre Pascal, Lamont, Kim, Dzekem, Bonaventure Suiru, Aminde, Leopold Ndemnge, Abanda, Martin Hongieh, Thienemann, Friedrich and Sliwa, Karen
Abstract

Pulmonary hypertension (PH) has progressively moved from an orphan disease to a significant global health problem with a major disease burden in limited-resource countries, where over 97% of patients live. The aetiologies of PH differ between high- and low-income nations, but PH due to left heart disease is credited to be the most frequent contemporary form. Although a straightforward diagnosis of PH requires the use of right heart catheterisation (RHC), access to equipment for RHC is a deterrent. Furthermore, the risk associated with RHC limits its uptake to a selection of specialised centres. Moreover, the rigour and clinical reasoning for diagnosis in clinical medicine is rapidly changing and revealing that PH can complicate a diverse range of medical conditions needing other explora- tions. In this article, we provide for the busy clinician, a simpli- fied diagnostic algorithm for PH that is relevant for making a correct early diagnosis and limiting the impact of PH.

Keywordspulmonary hypertension; diagnostic algorithm; left heart disease
Year2018
JournalCardiovascular Journal of Southern Africa (South Africa)
Journal citation29 (1), pp. 1 - 7
PublisherClinics - Cardive Publishing Co.
ISSN1015-9657
Digital Object Identifier (DOI)https://doi.org/10.5830/CVJA-2018-042
Scopus EID2-s2.0-85062597132
Page range1 - 7
Research GroupMary MacKillop Institute for Health Research
Publisher's version
File Access Level
Controlled
Place of publicationSouth Africa
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