Clinical perspectives on the menstrual pictogram for the assessment of heavy menstrual bleeding

Author:

Singh Sukhbir S1,Calaf Alsina Joaquin2,Vannuccini Silvia3,Koga Kaori4,Lopes Silva-Filho Agnaldo5,Yang Xin6,Estrade Jean-Philippe7,Catherino William8ORCID

Affiliation:

1. University of Ottawa & Ottawa Hospital Research Institute , Ottawa, Ontario, Canada

2. Hospital de la Santa Creu i Sant Pau, Universitat Autónoma , Barcelona, Spain

3. Careggi University Hospital , Florence, Italy

4. University of Tokyo , Tokyo, Japan

5. Universidade Federal de Minas Gerais , Belo Horizonte, Brazil

6. Peking University People’s Hospital , Beijing, China

7. Clinique Bouchard-Elsan , Marseille, France

8. Uniformed Services University of the Health Sciences , Bethesda, MD, USA

Abstract

Abstract Heavy menstrual bleeding (HMB) has an estimated prevalence of 18–32% but is known to be under-reported due to poor recognition and estimation of menstrual blood loss (MBL). HMB can negatively impact quality of life, affecting social interactions, work productivity and sexual life. Abnormal menstrual bleeding may have an underlying structural or systemic cause, such as endometrial and myometrial disorders; however, for some, there is no identified pathological cause. Several methods are available for assessing MBL, including the alkaline hematin (AH) method and the menstrual pictogram (MP). The AH method is considered to be the most accurate way to monitor MBL; however, it is associated with inconvenience and expense, therefore limiting its value outside of research. The MP requires the user to select an icon from a chart that reflects the appearance of a used sanitary product; the icon is associated with a blood volume that can be used to determine MBL. Validation studies have demonstrated that the results of the MP and AH method are well correlated, showing that the MP can measure MBL with sufficient accuracy. Additionally, the MP is more convenient for users, less expensive than the AH method, may be used in regions where the AH method is unavailable and may also be used as part of a digital application. Overall, the MP offers a convenient approach to monitor MBL both in research and clinical practice settings.

Funder

Bayer AG

Publisher

Oxford University Press (OUP)

Subject

Industrial and Manufacturing Engineering,Environmental Engineering

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