| Autor: |
El Demerdash, Doaa, El Kholy, Mohamed Talaat, Ayad, Alia Abdel-Aziz, Tawfik, Noha, Rakha, Magda, Habib, Sonia Adolf, EL Said, Manal Hamdy, Sobhy, George, Yacoub, Maha |
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| Zdroj: |
Egyptian Journal of Internal Medicine; 5/7/2024, Vol. 36 Issue 1, p1-9, 9p |
| Abstrakt: |
Background: Heavy menstrual bleeding is an important health problem in women of reproductive age and is also one of the most common symptoms in women with bleeding disorders. Data about the frequency of rare bleeding disorders are limited, and population-based studies are lacking, so we aimed to determine the frequency of rare bleeding disorders among women presented with heavy menstrual periods that cannot be attributed to obvious problems. Methods: Complete blood count and bleeding profiles include activated partial thromboplastin time, prothrombin time, factor VIII activity assay, ristocetin cofactor activity, von Willebrand antigen assay, platelet aggregation tests and other factor assays in 100 out of 300 females presented with unexplained heavy menstrual period, pictorial bleeding assessment chart (PBAC) > 100 as a screening tool for heavy menstrual periods, and or International Society of Thrombosis and Hemostasis-Bleeding Assessment Tool (ISTH-BAT) > 6. Results: A total of 300 women with heavy menstrual periods without an obvious explained cause were included in our study. Among them, we found 100 (30%) females with a mean PBAC of 234 ± 147 and mean ISTH-BAT of 9 ± 5 denoting HMB may be due to underlying bleeding disorders. Among them, the most common diagnosis was VWD in 30 (30%). Other disorders were as follows: 28 (28%) cases with clotting factor deficiencies, 24 (24%) cases were found to have platelet dysfunction, and in 18% of our studied cases, we did not find a clear cause of their bleeding disorders (unknown). Conclusion: Rare bleeding disorders are not uncommon and require comprehensive hemostatic evaluation as well as simple tools like PBAC and ISTH-BAT questionnaires for the identification of females presented with unexplained HMB. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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