Abstract

BackgroundGynecological bleeding including menorrhagia and postpartum hemorrhage (PPH) face women's quality of life constantly with difficulties, especially those suffering from inherited bleeding disorders. In this study, we aim to evaluate gynecological bleeding particularly menorrhagia among Iranian women patients with inherited bleeding disorders admitted to the Iranian Comprehensive Hemophilia Care Center (ICHCC). MethodsThis study was conducted on 156 females aged ≥ 12 diagnosed with an inherited bleeding disorder in ICHCC. Demographic and laboratory data were documented for all patients. Bleeding questionnaires (the International Society on Thrombosis and Hemostasis bleeding assessment tool (ISTH-BAT), Molecular and Clinical Markers for the Diagnosis and Management of Type 1 von Willebrand disease (MCMDM-1), and Pictorial blood loss assessment chart (PBAC)) were filled out for all patients. For comparing metric and categorical parameters, Mann-Whitney was performed. Spearman's rho test was used for analyzing correlation. ResultsThe mean age of patients was 33. Von Willebrand disease (VWD), Factor (F) VII deficiency and combined factor deficiency were the most diagnosed disorders. The median of ISTH-BAT, MCMDM-1, and PBAC was 7,7, and 517, respectively. Menorrhagia was the most common reason for diagnosis. Menorrhagia and PPH domain scores ≥ 2 were recorded in 82 and 34 patients, respectively, and PBAC scores > 100 were seen in 118 patients. Significant positive correlations were observed between bleeding scores and menorrhagia and PPH scores. No significant correlations were recorded for VWF: Ag and VWF: RCo with menorrhagia and PPH scores; however, significant correlations were seen for VWF: Ag and VWF: RCo with bleeding score questionnaires. ConclusionMenorrhagia is the most common problem in females affected by different types of inherited bleeding disorders, particularly VWD. Increased awareness among gynecologists and hematologists about bleeding disorders in cases with unexplained menorrhagia is an essential step for optimal management.

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