
Background: Abnormal Uterine Bleeding (AUB) is a common gynecological condition affecting women of reproductive age, often necessitating tertiary care. AUB can occur at any age in various forms and has different modes of presentation. AUB has a major impact on a woman's quality of life including the consequences such as anaemia and genital malignancy..This study aimed to find out what factors associated with abnormal uterine bleeding (AUB) using the FIGO PALMCOEIN system, examining both structural and non-structural causes. Methods: The study was conducted over a period of six months, involving 102 women aged 20–50 years presenting with abnormal uterine bleeding to the Department of Obstetrics and Gynaecology. Data were collected from the women on socio demographic profile, clinical presentation, histopathological findings and distributed the cases using PALM-COEIN classification Results: According to the PALM-COEIN classification, AUB-L (leiomyoma) was the most prevalent type (46.1%). The most affected age group was 41–50 years (73.50%). Proliferative endometrium was the most common histopathological finding(42.2%). Significant associations were observed between PALM-COEIN classification and age groups (p < 0.05) as well as between PALM-COEIN classification and parity (p < 0.05). Conclusion.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
