Consuelo Russo, Mario Palumbo, Sabrina Reppuccia, Giuseppe Gabriele Iorio, Elvira Nocita, Giulia Monaco, Federica Iacobini, Giorgia Soreca, Caterina Exacoustos
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TVS was conducted on all patients, recording any pelvic pathologies. We compared self-perception with pictograms across the cohort, age groups, and ultrasound findings.</p><h3>Results</h3><p>Of the cohort, 50.2% reported normal periods and 49.8% heavy periods. No significant differences were found between self-perception and pictograms in identifying NMB and HMB across all groups. However, significant differences were observed between PBAC and MP scores for NMB (56.1% vs 41.2%, <i>p</i> = 0.001) and HMB (43.9% vs 58.8%, <i>p</i> = 0.001), particularly in the 31–40 age group. Significant differences in PBAC and MP scores were noted between age groups 12–20 and 41–55, and 31–40 and 41–55. 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引用次数: 0
摘要
目的:评价初级卫生保健中的月经失血量(MBL)具有挑战性。我们的研究旨在通过两种方法来评估MBL:自我感知和象形图(图像血液评估图- pbac和月经象形图高吸收聚合物-c版本- mp)在接受阴道超声(TVS)的女性中。方法:我们招募了221名绝经前妇女,她们月经自然,没有激素治疗,没有怀孕。患者分为12-20岁、21-30岁、31-40岁、41-55岁4个年龄组。妇女自报月经正常(NMB)或月经大量出血(HMB),并填写PBAC和MP。PBAC评分≥150,MP评分≥80 ml提示HMB。所有患者均行TVS检查,记录盆腔病变。我们将自我知觉与队列、年龄组和超声结果的象形图进行了比较。结果:该队列中,50.2%报告月经正常,49.8%报告月经严重。自我知觉和象形文字在识别NMB和HMB方面在各组间无显著差异。然而,PBAC和MP评分在NMB (56.1% vs 41.2%, p = 0.001)和HMB (43.9% vs 58.8%, p = 0.001)之间存在显著差异,特别是在31-40岁年龄组。PBAC和MP评分在12-20岁和41-55岁年龄组、31-40岁和41-55岁年龄组之间存在显著差异。自我知觉与象形图在超声检查如子宫腺肌症、肌瘤、子宫内膜病理和子宫先天性畸形等方面无显著差异。结论:自我知觉是描述MBL在所有年龄组和超声表现的可靠方法。考虑到使用象形图的复杂性和潜在的错误,临床医生应该考虑依靠自我感知来评估月经周期的数量。
Evaluation of menstrual blood loss (MBL) by self-perception and pictorial methods and correlation to uterine myometrial pathology
Purpose
Evaluating menstrual blood loss (MBL) in primary healthcare is challenging. Our study aimed to assess MBL using two methods: self-perception and pictograms (Pictorial Blood Assessment Chart—PBAC and Menstrual Pictogram superabsorbent polymer-c version—MP) in women undergoing transvaginal ultrasound (TVS).
Methods
We enrolled 221 premenopausal women with spontaneous menstruation, no hormonal therapy, and no ongoing pregnancy. They were divided into four age groups (12–20, 21–30, 31–40, and 41–55 years). Women self-reported normal (NMB) or heavy menstrual bleeding (HMB) and filled out PBAC and MP. A PBAC score ≥ 150 and MP score ≥ 80 ml indicated HMB. TVS was conducted on all patients, recording any pelvic pathologies. We compared self-perception with pictograms across the cohort, age groups, and ultrasound findings.
Results
Of the cohort, 50.2% reported normal periods and 49.8% heavy periods. No significant differences were found between self-perception and pictograms in identifying NMB and HMB across all groups. However, significant differences were observed between PBAC and MP scores for NMB (56.1% vs 41.2%, p = 0.001) and HMB (43.9% vs 58.8%, p = 0.001), particularly in the 31–40 age group. Significant differences in PBAC and MP scores were noted between age groups 12–20 and 41–55, and 31–40 and 41–55. No significant differences were found between self-perception and pictograms regarding ultrasound findings like adenomyosis, fibroids, endometrial pathology, and uterine congenital malformations.
Conclusion
Self-perception could be a reliable method for describing MBL across all age groups and ultrasound findings. Given the complexity and potential errors in using pictograms, clinicians should consider relying on self-perception for assessing menstrual cycle quantity.
期刊介绍:
Founded in 1870 as "Archiv für Gynaekologie", Archives of Gynecology and Obstetrics has a long and outstanding tradition. Since 1922 the journal has been the Organ of the Deutsche Gesellschaft für Gynäkologie und Geburtshilfe. "The Archives of Gynecology and Obstetrics" is circulated in over 40 countries world wide and is indexed in "PubMed/Medline" and "Science Citation Index Expanded/Journal Citation Report".
The journal publishes invited and submitted reviews; peer-reviewed original articles about clinical topics and basic research as well as news and views and guidelines and position statements from all sub-specialties in gynecology and obstetrics.