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
Authors | Dzudie, Anastase, Kengne, Andre Pascal, Lamont, Kim, Dzekem, Bonaventure Suiru, Aminde, Leopold Ndemnge, Abanda, Martin Hongieh, Thienemann, Friedrich and Sliwa, Karen |
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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. |
Keywords | pulmonary hypertension; diagnostic algorithm; left heart disease |
Year | 2018 |
Journal | Cardiovascular Journal of Southern Africa (South Africa) |
Journal citation | 29 (1), pp. 1 - 7 |
Publisher | Clinics - Cardive Publishing Co. |
ISSN | 1015-9657 |
Digital Object Identifier (DOI) | https://doi.org/10.5830/CVJA-2018-042 |
Scopus EID | 2-s2.0-85062597132 |
Page range | 1 - 7 |
Research Group | Mary MacKillop Institute for Health Research |
Publisher's version | File Access Level Controlled |
Place of publication | South Africa |
https://acuresearchbank.acu.edu.au/item/88294/a-diagnostic-algorithm-for-pulmonary-hypertension-due-to-left-heart-disease-in-resource-limited-settings-can-busy-clinicians-adopt-a-simple-practical-approach
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