Heavy menstrual bleeding awareness among Saudi female population and clinical implications

Alsalman, Mortadah; Albarak, Ashjan; Busaleh, Fatemah; Alshaikh, Salwa; Alluwaim, Mariam; Busaleh, Mariya; Albarrak, Ayman

doi:10.1002/hsr2.244

Cited by 3 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We considered confounding factors that could affect the SF level for more accurate results. Literature-based covariates were identified a priori [14][15][16]. Multiple linear regression compared SF levels between regular and new donors.…”

Section: Discussionmentioning

confidence: 99%

Risk prediction of iron deficiency for plasmapheresis donors in China: Development and validation of a prediction model

Xiao,

Li,

Chen

et al. 2023

Vox Sanguinis

View full text Add to dashboard Cite

Background and ObjectivesThe present study aims to evaluate the iron stores in plasmapheresis donors and develop and validate an iron deficiency (ID) risk prediction model for plasmapheresis donors with potential or existing ID.Materials and MethodsWe assessed plasmapheresis donors' serum ferritin (SF) and haemoglobin (Hb) levels. The candidate factors showing significant differences in the multivariate logistic regression analysis were used to establish a risk prediction scoring system. The participants were divided into a training cohort and an internal validation cohort in a 7:3 ratio. Additional plasmapheresis donors from a different station were recruited for external validation.ResultsThe SF levels in both male and female donors in the high‐frequency group were significantly lower than those of new donors (male: p < 0.001; female: p = 0.008). The prevalence of ID in female regular donors with a high frequency was significantly higher than that in new donors (33.1% vs. 24.6%; odds ratio = 1.209 [95% CI: 1.035–1.412]). Donation frequency, age, Hb, body mass index and being pre‐menopausal were identified as independent risk factors for ID (p < 0.05). The developed model exhibited good discrimination ability (area under the receiver operating characteristic curve >0.7) and calibration (p > 0.05) in development, internal validation cohorts and external validation cohorts.ConclusionA higher donation frequency has been associated with reduced SF levels and an increased risk of ID in women. The developed ID risk prediction model demonstrates moderate discriminative power and good model fitting, suggesting its potential clinical utility.

show abstract

Section: Discussionmentioning

confidence: 99%

Risk prediction of iron deficiency for plasmapheresis donors in China: Development and validation of a prediction model

Xiao,

Li,

Chen

et al. 2023

Vox Sanguinis

View full text Add to dashboard Cite

show abstract

“…Menstrual bleeding is an important indicator of women's health, as heavier flows have been linked to an increased risk of anemia, hemodynamic instability, and poor quality of life [10,12]. During the COVID-19 pandemic, several factors impacted women's menstrual cycles, such as infection, emotional or physical stress, and COVID-19 vaccination.…”

Section: Discussionmentioning

confidence: 99%

“…The minimum required sample size was calculated at 397 using Cochran's formula = Z2P(1−P)/d2; the prevalence of heavy menstrual bleeding is 65% as reported by a previous Saudi study, with the desired level of precision of 10% and a confidence interval (CI) of 95% [10].…”

Section: Study Design Setting and Participantsmentioning

confidence: 99%

Impact of COVID-19 Vaccinations on Menstrual Bleeding

Alsalman,

Alhubail,

Bin obaid

et al. 2023

Cureus

Self Cite

View full text Add to dashboard Cite

Introduction: Vaccination has a fundamental role in protecting against and modifying the severity of several infectious diseases, including COVID-19. Several immune and non-immune adverse events have been reported post-COVID-19 vaccine. The aim of this study was to assess the effect of the COVID-19 vaccine on women's menstrual bleeding.Methods: A cross-sectional study was conducted among 399 vaccinated women in the Eastern Province of Saudi Arabia. Data were collected using a direct interview-based questionnaire including four sections.Results: A total of 399 women were recruited, with a mean age of 25.54 ± 6.177 years. More than half (53.9%) of the participants reported post-vaccination menstrual bleeding abnormality in terms of a heavy or irregular cycle. Out of the total number, 40 (21.4%) women reported having heavy menstrual flow, and 67 (16.8%) had non-menstrual bleeding after receiving the COVID-19 vaccine. Fully vaccinated women were at a greater risk of post-vaccination menstrual bleeding abnormality (p = 0.058). However, there was no correlation between booster shot type and menstrual bleeding abnormality (p > 0.05). In addition, there was no significant association between non-menstrual bleeding and the type of booster shot, the type of the first dose, and prior history of COVID-19 infection (p > 0.05).Conclusion: Despite vaccination being the most effective way to prevent COVID-19, it does have an impact on menstrual bleeding in terms of menorrhagia and metrorrhagia. Therefore, more studies are needed to understand the mechanism and the long-term impact of COVID-19 vaccines on the hemostatic system.

show abstract

Abnormal uterine bleeding: symptomatology, clinical impact and diagnosis

Gallo,

Di Spiezio Sardo

2023

Facts Views Vis ObGyn

View full text Add to dashboard Cite

Abnormal uterine bleeding (AUB) is one of the most common gynaecological disorders in women of all age groups, it affects quality of life (QoL) and carries high direct and indirect socioeconomic costs. The present article aims to summarise the different aetiologies of AUB, using the unambiguous terminology and systematic approach provided by the International Federation of Gynecology and Obstetrics (FIGO) PALM-COEIN classification system with its periodic evolutions; the objective is also to evaluate the clinical impact and the most accurate diagnostic management, due to continuous improvements in imaging and outpatient hysteroscopy in order to improve patient care and reduce healthcare costs.

show abstract

Heavy menstrual bleeding awareness among Saudi female population and clinical implications

Cited by 3 publications

References 18 publications

Risk prediction of iron deficiency for plasmapheresis donors in China: Development and validation of a prediction model

Risk prediction of iron deficiency for plasmapheresis donors in China: Development and validation of a prediction model

Impact of COVID-19 Vaccinations on Menstrual Bleeding

Abnormal uterine bleeding: symptomatology, clinical impact and diagnosis

Contact Info

Product

Resources

About