Abstract
Introduction: Abnormal uterine bleeding (AUB) poses a significant health and financial burden, especially
in perimenopausa l women. Despite the PALM -COEIN classification, gaps persist in correlating clinical
and histopathological aspects. Our study, utilizing diagnostic modalities like Ultrasonography,
Hysteroscopy, and Endometrial sampling, seeks to enhance diagnostic precisi on in AUB, contributing to
improved management strategies and patient outcomes.
Materials and methods
This descriptive study investigated Abnormal Uterine Bleeding (AUB) in 126
women aged 35 and above at our hospital from September 2019 to February 2021. The study utilized the
PALM-COEIN classification system for categorizing AUB causes. Inclusion criteria covered various AUB
presentations, while exclusion criteria excluded specific conditions. Data collection involved a structured
proforma, and diagnostic interventions encompassed Ultrasonography, Hysteroscopy, and Endometrial
sampling. Statistical analysis employed various measures, including the concordance index and Chi -square
test, utilizing SPSS 21.
Results
This hospital-based study enrolled 126 women presenting with abnormal uterine bleeding (AUB),
offering comprehensive insights into their demographic, clinical, and histopathological profiles. The mean
age of the cohort was 45.96 years, with a notable concentration in the 40 -44.99 age group. The maj ority
resided in urban areas (96.83%) and belonged to the upper middle class (65.87%), with housewives
constituting 97.62%. AUB patterns, including irregular bleeding (56.35%) and postmenopausal bleeding
(15.87%), were meticulously examined. Comorbidities, predominantly hypertension (31 patients) and
hypothyroidism (22 patients), were identified in 60 patients. Ultrasonography revealed Leiomyoma in
54.76% and Adenomyosis in 24.6%. Clinical diagnoses, utilizing the PALM -COEIN classification,
highlighted AUB -L as the primary cause (54.76%). Diagnostic modalities such as Hysteroscopy,
Hysterectomy, and concordance analyses contributed to enhanced diagnostic precision, emphasizing the
multidimensional approach imperative for effective AUB management in clinical practice.
Conclusion
Our study underscores the efficacy of the PALM -COEIN classification in correlating clinical
and histopathological findings for Abnormal Uterine Bleeding (AUB). Leiomyoma emerged as the primary
etiology, showcasing the classification's utility in identifying dual pathologies. Histopathological
examination significantly complemented clinical diagnoses, emphasizing the system's value in optimizing
patient care.
Keywords
Abnormal Uterine Bleeding (AUB), PALM-COEIN classification, Diagnostic modalities,
Perimenopausal women
Introduction
Abnormal uterine bleeding (AUB) is characterized by irregular, voluminous, frequent, or
prolonged bleeding from the uterine corpus, excluding pregnancy [1]. This condition, prevalent
among perimenopausal women, not only leads to physical and mental distress but also places a
substantial financial burden on affected individuals [2]. Constituting more than 70% of
gynecological consultations during the perimenopausal and postmenopausal years, AUB
accounts for 35% of Gynecology OPD visits and 25% of gynecological surgeries [3]. Its
prominence during the 2-8 years preceding menopause underscores the need for comprehensive
understanding and effective management [4].
While the International Federation of Gynecolog y and Obstetrics (FIGO) has introduced the
PALM-COEIN classification to categorize AUB causes, incorporating structural (PALM) and
functional (COEIN) elements, there remains a gap in correlating clinical presentations with
histopathological findings [4]. Acute AUB, necessitating immediate intervention, and chronic
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AUB, persisting for the majority of the last 6 months, further
complicate the diagnostic landscape [5]. The potential severity of
underlying causes, ranging from physiological processes to
possible malignancies, underscores the importance of accurate
identification through minimally invasive means.
Diagnostic modalities, such as Ultrasonography, Hysteroscopy,
and Endometrial sampling, play pivotal roles in discerning
structural and functional ca uses of AUB. Ultrasonography, as a
primary diagnostic tool, aids in detecting uterine abnormalities,
while Hysteroscopy allows direct visualization and treatment in
a single session. Endometrial sampling, a simple OPD
procedure, effectively rules out malig nancy. The historical
reliance on Dilatation and Curettage (D and C) for endometrial
sampling has diminished due to associated risks, expenses, and
the availability of less invasive alternatives [6]. Despite
advancements, diagnosing AUB remains challenging, prompting
the need for a comprehensive study to bridge the clinical -
histopathological gap.
This study seeks to address the existing knowledge gaps by
correlating clinical findings with histopathological insights in
AUB, employing the PALM -COEIN classific ation. The
overarching aim is to enhance diagnostic precision, particularly
in cases where conventional methods may fall short. By
elucidating these connections, we aspire to contribute to the
refinement of AUB management strategies, ultimately
improving patient outcomes.
Materials and methods
Study Design
This descriptive study was done which investigated Abnormal
Uterine Bleeding (AUB) in women aged 35 and above who
presented to our hospital, from September 2019 to February
2021.
Inclusion criteria
1. Women of age 35 years and above.
2. Patients having heavy menstrual bleeding.
3. Frequent cycles.
4. Frequent and heavy menstrual bleeding.
5. Intermenstrual bleeding.
6. Post-menopausal bleeding.
Exclusion criteria
1. Vaginal bleeding related to pregnancy.
2. Pelvic inflammatory disease.
3. Genital prolapse.
4. Hormone therapy.
5. IUCD insertion.
Sample size
The sample size was calculated using the formula n=z²α x P x
(Q)/d². In this study, Pearson coefficient, commonly used for
correlation studies, was deemed inapplicable due to the
categorical nature of variables. Utilizing assumptions with a
likelihood value (P) of 0.09, margin of error (d) of 0.05, and a
standard normal variate (z) of 1.96, the sample size was
determined to be 126.
Sample technique
The sampling technique used was non -probabilistic sampling
Method
of purposive sampling where all the patients attending to
the Department of Obstetrics and Gynecology (OPD and IPD),
of our hospital from 1 st September 2019 to 28th February 2021
(18 months), with complaints of AUB, were screened as per
inclusion and exclusion criteria and subsequently included or
excluded from the study.
Data Collection
Data collection for this study was conducted by the observer,
using a designated study proforma. Prior to participation,
eligible women were briefed about the study in their local
vernacular language, and informed consent was obtained
through a pre -approved proforma sanctioned by our ethical
committee. Participants were explicitly granted the freedom to
withdraw from the study at any stage.
Methods
This descriptive study was executed within the Obstetrics and
Gynecology department at our hospital, involving 126 patients
diagnosed with Abnormal Uterine Bleeding (AUB) who met the
predetermined inclusion criteria. Prior to the commencement of
the study, informed written consent was meticulously obtained
from all parti cipants, and ethical approval from the institutional
review committee was secured.
A comprehensive medical history, encompassing chief
complaints, history of present illness, demographic details,
detailed menstrual history, obstetric history, past medical and
surgical history, and personal history, was systematically
documented. Subsequent to this, a thorough general physical
examination, with a specific focus on identifying features of
anemia, was conducted.
Vital signs, including pulse, blood pressure, re spiratory rate, and
temperature, were recorded, and a systemic examination
covering cardiovascular, respiratory, and per abdomen aspects
was undertaken. Pelvic examinations, incorporating local
examination, per speculum, and bimanual pelvic examination,
were meticulously performed.
The investigative phase comprised a set of routine examinations,
including Complete Blood Count (CBC), Urine
Routine/Microscopy, ABORh, Random Blood Sugar (RBS),
Thyroid Stimulating Hormone (TSH), Coagulation profile
(aPTT, PTINR), viral markers, PAP smear, and Ultrasonography
(TAS - 3-5 MHZ, TVS - 5-7.5 MHZ). Ultrasonography was
conducted using the E soate Ultrasound Machine. Additional
investigations, such as X-ray and ECG, were implemented when
deemed necessary.
Upon establishi ng a provisional diagnosis, patients underwent
either Dilatation and Curettage / Endometrial sampling or
Hysteroscopic evaluation. Tissue obtained was systematically
subjected to histopathological examination. For patients
undergoing Hysterectomy (open/lap aroscopic), specimens
comprising the uterus, cervix, and ovaries were sent for
macroscopic and histopathological examination.
All findings were meticulously correlated with the PALM -
COEIN classification system, encompassing categories such as
AUB-P, AUB -A, AUB-L, AUB -M, AUB -C, AUB -O, AUB -E,
AUB-I, and AUB -N. Subsequently, statistical analyses were
performed to discern patterns and associations within these
classifications, thereby contributing to a comprehensive
understanding of Abnormal Uterine Bleeding in this cohort.
Statistical Analysis
The statistical analysis encompassed a comprehensive
examination of the data, employing various measures to
elucidate the characteristics of the study cohort. Descriptive
statistics, including range, mean ± standard devi ation (± SD),
frequencies (number of cases), and relative frequencies
(percentages) were meticulously calculated as deemed
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appropriate for each variable. To compare categorical data, the
analysis incorporated concordance measures, including the
concordance index and Chi -square (χ²) test when applicable.
Concordance, indicative of the agreement rate between two
variables, was assessed through the concordance index, a metric
evaluating the predictions made by the algorithm. The
Concordance Index values were c ategorized based on their
strength of correlation (>0.20: Poor, 0.21 –0.40: Fair, 0.41–0.60:
Moderate, 0.61–0.80: Good, 0.81 –1.0: Very good). In instances
where expected frequencies were less than 5, the Fisher exact
test was employed. A probability value ( p-value) less than 0.05
was deemed statistically significant. All statistical computations
were meticulously conducted using the Statistical Package for
the Social Science (SPSS) 21 version, a widely recognized
statistical program for Microsoft Windows dev eloped by SPSS
Inc. in Chicago, IL, USA.
Results
The present study, conducted at our hospital, focused on 126
women presenting with abnormal uterine bleeding, yielding
valuable insights into various aspects of their demographic,
clinical, and histopathological profiles.
The mean age of the study population was 45.96 years, with a
notable concentration in the age group of 40 -44.99 years.
Regarding parity, the majority of subjects were Para 2,
constituting 63.49%. Urban residency was predominant, with
96.83% of subjects residing in urban areas. In terms of
socioeconomic status, the study found that 65.87% belonged to
the upper middle class. Additionally, an overwhelming majority
of the participants, 97.62%, were housewives. Obesity and
overweight were observe d in 14.28% and 26.98% of subjects,
respectively. (Table 1)
Predominantly, irregular menstrual bleeding was identified as
the primary concern, with a noteworthy emphasis on Heavy
Menstrual Bleeding (HMB), observed in 56.35% of subjects.
Postmenopausal bleeding, accounting for 15.87% of cases, was
also a significant aspect of the AUB spectrum. A nuanced
analysis revealed that 49.3% of participants experiencing HMB
endured it for 6 -12 months. For those with postmenopausal
bleeding, 40% reported a duration of 10-30 days, while another
40% encountered bleeding for 30.1-6 months. This study further
elucidated additional AUB patterns, including Heavy and
Prolonged Menstrual Bleeding (9.52%), Prolonged Menstrual
Bleeding and Frequent Cycles (6.35% each), and the le ss
common pattern of Frequent and Heavy Menstrual Bleeding
(5.56% of subjects). The detailed exploration of these AUB
patterns contributes valuable insights to the existing body of
medical knowledge, providing a comprehensive understanding
of the diverse presentations of abnormal uterine bleeding. (Table
2)
The investigation involved 60 patients, among whom
hypertension (31 patients) and hypothyroidism (22 patients)
were the predominant comorbidities. A subset of patients (7
cases) had undergone previous gy necological surgeries, with
tubectomy being the most common procedure (5 patients). The
study provides a thorough examination of comorbidity
prevalence, highlighting hypertension as the most prevalent
medical disorder, followed by hypothyroidism and diabet es
mellitus. A substantial proportion (52.38%) of patients exhibited
no comorbidities, while 35.71% had a single comorbidity, and
11.9% presented with multiple comorbidities. Among the
participants, 26 had a history of surgical procedures, with 7
undergoing gynecological surgeries, primarily tubectomy.
General surgical interventions included cholecystectomy (11
patients), appendicectomy (3 patients), and various others such
as hemorrhoidectomy, hernia operation, breast lump excision,
craniotomy, and VP shun t, each observed in 1 patient. This in -
depth analysis sheds light on the spectrum of comorbidities and
surgical histories within the patient population under study.
(Table 3)
In the present study, abdominal examination revealed that
78.57% of subjects had a non -palpable uterus, with 10.3%,
4.76%, 3.96%, and 2.38% exhibiting palpable uteri of 12 -14
weeks, 14.1 -16 weeks, 16.1 -18 weeks, and >18 weeks sizes,
respectively. Pelvic examination, including per speculum
examination, identified various cervical condit ions, such as a
healthy cervix in 65.08% of subjects, along with hypertrophy,
chronic cervicitis, erosion, polyps, atrophy, and growth in
smaller percentages. Bimanual pelvic examination indicated
diverse uterine sizes, ranging from normal to atrophic, wit h
specific percentages corresponding to each size category. (Table
4)
On ultrasound (USG), 54.76% of subjects exhibited Leiomyoma,
and 24.6% showed Adenomyosis. Additionally, Endometrial
Hyperplasia was detected in 17.46% of cases, Endometrial Polyp
in 16. 66%, Endocervical Polyp in 6.35%, Endometrial
Carcinoma in 1.59%, and Cervical Carcinoma in 0.79%.
Clinically, Leiomyoma was identified as the predominant cause
of Abnormal Uterine Bleeding, primarily diagnosed through
ultrasonography. (Table 5)
Clinical p rovisional diagnoses were established through the
correlation of clinical history, examinations, and ultrasound
(USG) findings, with PALM -COEIN classification guiding the
categorization. AUB -L emerged as the predominant clinical
diagnosis, affecting 54.76% of subjects, followed by AUB -A
(24.6%), AUB-P (23.01%), and AUB -M (19.84%). Notably, no
subjects exhibited components of COEIN as the cause of AUB
in our study. Endometrial pathology was determined through
endometrial curettings, collected via Hysteroscop y, Pipelle's
biopsy, or Dilatation and Curettage (D&C). Among the 39
subjects who underwent hysteroscopy, two necessitated
subsequent hysterectomy due to confirmed endometrial
carcinoma, while the remaining 37 subjects recovered through
hysteroscopic interventions. Proliferative pattern emerged as the
prevailing endometrial pattern in our study, evident in 64.11% of
subjects on Hysteroscopic curettings and 67.74% on Pipelle's
biopsy. The study underscores the diagnostic significance of
histopathological eva luations in refining clinical diagnoses and
optimizing treatment decisions. (Table 6, 7)
In the study, Hysteroscopy was performed in 30.95% of
subjects, Hysterectomy in 66.66%, Myomectomy in 3.17%, and
Cervical biopsy in 0.79% of subjects. Among the total 126
subjects, 29.3% underwent Hysteroscopy only, 1.58% had both
Hysteroscopy and Hysterectomy, 24.6% underwent Pipelle‟s
biopsy and Hysterectomy, 0.79% underwent D&C and
Hysterectomy, 39.68% directly underwent Hysterectomy, and
3.17% had Laparoscopic myome ctomy. One subject was
diagnosed with cervical carcinoma on cervical biopsy and was
advised Radiotherapy and Chemotherapy.
Regarding Hysteroscopy, out of 39 subjects, 2 underwent
hysterectomy due to proven endometrial carcinoma in
hysteroscopic curettings , while the remaining 37 subjects
recovered after Hysteroscopic polypectomy (30), myomectomy
(2), or curettage (5). USG diagnosed polyps in 29 subjects, and
Hysteroscopy confirmed polyps in 25 subjects. In one case, USG
misdiagnosed endometrial hyperplasia as a polyp, and in three
cases (2 with polyp and leiomyoma, 1 with polyp and
adenomyosis), subjects directly underwent Hysterectomy due to
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multiple causes. Hysteroscopy detected polyps in 30 subjects,
consistent with USG findings in 25 subjects, while in the
remaining 5 cases, USG misdiagnosed polyps as endometrial
hyperplasia, later confirmed as polyps on Hysteroscopy. (Table
8)
In the context of Hysterectomy, out of 84 subjects, 34 had prior
endometrial sampling, and the remaining 50 underwent direct
Hysterectomy as they did not provide consent for endometrial
sampling. (Table 8)
In the operative findings, Leiomyoma was the predominant
pathology observed in 67 subjects, followed by Adenomyosis in
41 subjects, Endometrial Polyp in 24 subjects, Endocervical
Polyp in 8 subjects, Endometrial Hyperplasia in 10 subjects, and
Bulky uterus in 5 subjects where no other structural
abnormalities were detected grossly. On histopathology,
Leiomyoma remained the most prevalent pathology in 67
subjects, followed by Adeno myosis in 46 subjects, Endometrial
Polyp in 30 subjects, and Endocervical polyp in 8 subjects.
Additionally, Endometrial Hyperplasia was identified in 15
subjects, endometrial carcinoma in 4 subjects, CIN in 3 subjects,
and cervical cancer in 1 subject. The proliferative phase emerged
as the most common endometrial pattern in 83 subjects,
followed by the secretory phase in 15 subjects, and atrophic
endometrium in 4 subjects. In 121 subjects, the proliferative
pattern prevailed as the most common endometrial pattern in
68.6%, while the secretory and endometrial hyperplasia patterns
were observed in 12.4% each, and atrophic and endometrial
carcinoma in 3.3% each. (Table 9)
In our study, the final diagnosis, based on histopathology reports
and following the PAL M-COEIN classification, revealed that
AUB-L was the predominant cause of abnormal uterine bleeding
(AUB), accounting for 53.17% of subjects, followed by AUB -A
in 36.5%, AUB -P in 30.15%, and AUB -M in 15.87% of
subjects. Among AUB -M cases, Simple Hyperplasia without
atypia was the most frequent finding (50%), followed by
Malignancy (25%), with four cases of endometrial carcinoma
and one case of cervical cancer.
In terms of clinical diagnosis, 78.57% had a single identified
cause of AUB, with AUB -L being the m ost common (38.09%),
followed by AUB -P (17.46%), AUB -A (10.31%), and AUB -M
(12.70%). Multiple causes were observed in 21.43% of cases,
with AUB -A, L being the most common (10.31%). Regarding
histopathological analysis, 69.04% of subjects exhibited a single
PALM component, with Leiomyoma being the most common
(25.4%), followed by Polyp (21.43%), Hyperplasia/Malignancy
(11.9%), and Adenomyosis (10.31%). Multifactorial cases
included Adenomyosis and Leiomyoma (20.63%), Leiomyoma
and Polyp (1.59%), Polyp and Hyperplasia/Malignancy (2.38%),
Leiomyoma and Hyperplasia/Malignancy, Polyp and
Adenomyosis (0.79% each), Adenomyosis, Leiomyoma, and
Malignancy/Hyperplasia (0.79%), and Polyp, Adenomyosis, and
Leiomyoma together (3.97%). (Table 10)
Discussion
Abnormal uterine bleeding is defined as any bleeding from the
genital tract, which is a deviation from the normal in volume,
duration, regularity or frequency. In present study, 126 women
with AUB were examined in Obstetrics and Gynecology
department. A detailed histor y, clinical examination and routine
investigations were done. USG was offered as initial non -
invasive investigation. Further evaluation was done by
endometrial curettage, either by Dilatation and Curettage,
Pipelle’s biopsy or Hysteroscopy. In subjects who did not give
consent for endometrial curettage, they were subjected directly
to major surgery (Myomectomy / Hysterectomy). And for
remaining subjects, further intervention was done as per the
endometrial histopathology. Various parameters of our study
were compared with studies of different authors.
In our study, the mean age of participants was 45.96 years,
aligning with the findings of Suseela T L et al . [7]. Regarding
parity distribution, 80% of women in our study were
multiparous, a result consistent with studies by Mohammed N et
al. [8], Lotha L et al. [3], and Snehkiran et al. [9]. Body Mass Index
(BMI) was assessed in our study and compared with the research
of Sajitha et al. [10] (2014) and Mishra D et al. [4] (2017). Mishra
D et al. [4] reported obesity in 9.3% of women, while Sajitha et
al. [10] found 3.8% to be obese. In our cohort of 126 women,
14.28% were classified as obese, demonstrating similarity to the
findings of Mishra D et al. [4]. This correspondence underscores
the consistency of BMI r esults between our study and Mishra D
et al. [4].
It was found that, Heavy Menstrual Bleeding (HMB) was
prevalent in 56.35% of subjects, aligning with findings in studies
by Bashir H et al . [11] and Khan R et al . [12]. Regarding PAP
smear results, our stud y demonstrated normal findings in
85.71% of cases, comparable to the 96% normalcy reported in
the study by Mahapatra M et al. [13].
In our study, the provisional diagnosis was established by
integrating clinical history, examination, and ultrasound (USG)
findings. Sudhamani S et al . [14] reported AUB -L in 28% of
subjects, AUB -M in 18%, AUB -A in 5%, and AUB -P in 3%.
Similarly, Mishra D et al. [4] found AUB-L in 41.1% of subjects,
followed by AUB -A, AUB -P, and AUB -M. Misra B et al . [15]
reported AUB-L in 48.25%, AUB-A in 25.75%, and AUB-P and
AUB-M in 4.25% each. In our study, AUB -L was the most
prevalent, observed in 54.76% of 126 subjects, followed by
AUB-A in 24.6%, AUB -P in 23.01%, and AUB -M in 19.84%.
Our clinical diagnosis aligns with Sudhamani S et al. [14], Mishra
D et al. [4], and Misra B et al. [15], emphasizing AUB -L as the
most common diagnosis.
Regarding endometrial patterns, our study obtained curettings
from 121 subjects via Pipelle's biopsy, D&C, Hysteroscopy, and
Hysterectomy. Proliferative pat terns were prevalent in 67.74%
of subjects in our study, akin to findings in studies by Banale M
et al. [16], Suneet K et al. [17], and Maurya MK et al. [18], where
proliferative patterns accounted for 32.63%, 36%, and 30.6% of
subjects, respectively. Thus, the proliferative pattern observed in
our study is consistent with previous literature [16-18].
In Hysteroscopic curettage, the proliferative endometrial pattern
was identified as the most common pattern in studies by Afghan
S et al . [19] (34.6%) and Mah apatra M et al . [13] (45.7%). Our
2021 study found a maximum proliferative pattern in 64.11% of
subjects, aligning with Afghan S et al. [19] and Mahapatra M et
al. [13].
Regarding Hysterectomy specimens, Khushnood M et al . [20]
reported proliferative patterns as the most prevalent, constituting
53%. In our 2021 study, a maximum proliferative pattern was
observed in 74% of subjects, consistent with Khushnood M et al.
[20].
Of the 126 subjects, AUB -L was identified as the most common
histopathological diagnosis in 53.17% of subjects, followed by
AUB-A (36.5%), AUB-P (30.15%), and AUB-M (15.87%). This
HPE diagnosis aligns with Neena Y et al. [21], Mohammed N et
al. [8], Mandal SK et al. [22], Mishra D et al. [4], and Misra B et al.
[15] studies, where AUB -L con sistently emerged as the
predominant HPE diagnosis.
For the AUB -M component, our study revealed a prevalence of
15.87%, a finding comparable to the study conducted by Misra
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B et al. [15]. The distribution of AUB -M, our study reported that
Simple hyperplasi a without atypia was the most common
subtype, observed in 50% of subjects. This prevalence
corresponds with the findings of Misra B et al. [15], where Simple
hyperplasia without atypia accounted for 44.11%.
the clinicopathological correlation was highest i n subjects with
AUB-L, followed by AUB -M, then AUB -P, with the least
correlation observed in subjects with AUB -A. This pattern
aligns with findings from Mishra D et al. [4] and Misra B et al.
[15] studies, where AUB -L exhibited the highest
clinicopathological correlation, consistent with our present
study. Similar to Misra B et al. [15] and Mishra D et al. [4] studies,
AUB-A demonstrated the least clinicopathological correlation in
our investigation.
We observed a statistically significant difference (p< 0.05) in the
clinical and histopathological diagnosis of AUB -A in our study,
both when counted alone and in combination with other PALM
component pathologies, a result comparable to Mishra D et al.
[4]. Furthermore, the significant p -value in the clinical an d
histopathological diagnosis of the combination of AUB -A, L
mirrors findings in the Mishra D et al. [4] study.
Our study highlighted that perimenopausal women, presenting
with heavy menstrual bleeding, were predominantly affected.
The primary etiology of AUB was clinically and
histopathologically identified as Leiomyoma. Adenomyosis was
better diagnosed on histopathological examination, underscoring
the significance of HPE in its detection. We observed good
clinicopathological correlation for AUB -P, AUB -L, and AUB -
M, while histopathological examination revealed cases of AUB -
A that were missed clinically. This underscores the gold
standard status of HPE in AUB diagnosis.
Table 1: Age distribution, demographic profile, and BMI distribution
Age (Yrs) No. of Subjects Percentage
35-39.99 18 14.29%
40-44.99 40 31.75%
45-49.99 36 28.57%
50-54.99 18 14.29%
55-59.99 9 7.14%
> 60 5 3.97%
Total Age Distribution 126 100%
Demographic Parameters No. of Subjects Percentage
Rural/Urban Rural 4 3.17%
Urban 122 96.83%
Religion
Hindu 58 46.03%
Sikh 67 53.17%
Muslim 1 0.79%
Occupation
Housewife 123 97.62%
Employed 3 2.38%
Socioeconomic Status
UMC (Upper Middle Class) 83 65.87%
MC (Middle Class) 43 34.13%
Total Demographic Profile 126 100%
BMI No. of Subjects Percentage
Normal 74 58.73%
Overweight 34 26.98%
Obese 18 14.28%
Total BMI Distribution 126 100%
Parity No. of Subjects Percentage
0 1 0.79%
1 15 11.90%
2 80 63.49%
3 22 17.46%
>3 8 6.35%
Total 126 100%
Table 2: Abnormal uterine bleeding and parity
Abnormal Uterine Bleeding No. of Subjects Percentage
Heavy Menstrual Bleeding 71 56.35%
Prolonged Menstrual Bleeding 8 6.35%
Heavy and Prolonged Menstrual Bleeding 12 9.52%
Frequent Cycles 8 6.35%
Frequent and Heavy Menstrual Bleeding 7 5.56%
Postmenopausal Bleeding 20 15.87%
Total 126 100%
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Table 3: Comorbidities and Previous Gynecological Surgery
Comorbidities No. of subjects Percentage (%)
No comorbidity 66 52.38%
Single 45 35.71%
Multiple 15 11.90%
Total 126 100%
Gynecological Surgery No. of subjects Percentage
Tubectomy 5 71.42%
Salpingectomy 1 14.28%
Hysteroscopic Polypectomy 1 14.28%
Total 7 100%
Table 4: Abdominal and pelvic examination findings
Abdominal and Pelvic Examination No. of Subjects Percentage (%)
Uterus palpable in weeks
Not palpable 99 78.57%
12-14 weeks 13 10.31%
14.1-16 weeks 6 4.76%
16.1-18 weeks 5 3.96%
>18 weeks 3 2.38%
Total 126 100%
Per speculum findings No. of Subjects Percentage (%)
Healthy cervix 82 65.08%
Cx Hypertrophied 12 9.52%
Cervical erosion 8 6.35%
Cervical polyp 6 4.76%
Chronic cervicitis 12 9.52%
Cx atrophic 5 3.97%
Cx growth 1 0.79%
Total 126 100%
Size of uterus No. of Subjects Percentage (%)
Normal 24 19.05%
18 weeks 3 2.38%
Atrophic 3 2.38%
Total 126 100%
Table 5: USG findings
USG findings No. of subjects Percentage (%)
Leiomyoma 69 54.76%
Adenomyosis 31 24.60%
Endometrial Hyperplasia 22 17.46%
Endometrial polyp 21 16.66%
Endocervical polyp 8 6.35%
Endometrial carcinoma 2 1.59%
Cervical carcinoma 1 0.79%
Table 6: Provisional diagnosis and endometrial curettings
Provisional Diagnosis No. of subjects Percentage (%)
AUB-P 29 23.01
AUB-A 31 24.6
AUB-L 69 54.76
AUB-M 25 19.84
COEIN 0 0
Endometrial Curettings
Procedure (No. of subjects) Hysterectomy done Hysterectomy not done
Hysteroscopy (39) 2 37
Pipelle's Biopsy (31) 31 0
Dilatation and Curettage (1) 1 0
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Table 7: Pattern of endometrium
Endometrial Pattern
Endometrial curettings
Hysteroscopy (n = 39) Pipelle’s Biopsy (n = 31) D&C (n = 1)
No. % No. % No. %
Proliferative 25 64.11% 21 67.74% 0 0%
Secretory 3 7.69% 4 12.90% 0 0%
Simple hyperplasia without atypia 6 15.38% 3 9.68% 0 0%
Simple hyperplasia with atypia 0 0% 1 3.23% 1 100%
Complex hyperplasia without atypia 1 2.56% 0 0% 0 0%
Complex hyperplasia with atypia 0 0% 0 0% 0 0%
Atrophic 2 5.13% 0 0% 0 0%
Endometrial ca 2 5.13% 2 6.45% 0 0%
Table 8: Hysteroscopy and Hysterectomy
Hysteroscopy No. of subjects
Hysteroscopic Polypectomy 30
Hysteroscopic Myomectomy 2
Hysteroscopic Curettings 5
Hysteroscopy and Hysterectomy 2
Total 39
Hysterectomy No. of subjects
Hysteroscopy and Hysterectomy 2
D&C and Hysterectomy 1
Pipelle's Biopsy and Hysterectomy 31
Direct Hysterectomy 50
Total 84
Table 9: Showing operative findings, HPE and Endometrial Pattern
Operative Findings No. of Subjects
Leiomyoma 67
Adenomyosis 41
Bulky Uterus 5
Endometrial Polyp 24
Endocervical Polyp 8
Endometrial Hyperplasia 10
HPE (Histopathology) No. of Subjects
Leiomyoma 67
Adenomyosis 46
Endometrial Polyp 30
Endocervical Polyp 8
Endometrial Hyperplasia 15
Endometrial Carcinoma 4
Atrophic 4
CIN 3
Cervical Cancer 1
Endometrial Pattern No. of Subjects
Proliferative 83
Secretory 15
Endometrial Hyperplasia 15
Atrophic 4
Endometrial Carcinoma 4
Total 121
Table 10: Distribution of cases as per clinical diagnosis and histopathology
Clinical Diagnosis No. of Subjects Percentage
AUB-P 22 17.46%
AUB-A 13 10.31%
AUB-L 48 38.09%
Single factor AUB-M 16 12.70%
AUB-P, A 3 2.38%
AUB-P, L 2 1.59%
AUB-P, M 2 1.59%
AUB-A, L 13 10.31%
Multiple factors AUB-A, M 1 0.79%
AUB-L, M 5 3.97%
International Journal of Clinical Obstetrics and Gynaecology https://www.gynaecologyjournal.com
~ 87 ~
AUB-A, L, M 1 0.79%
AUB-P, A, L 0 0%
Total 126 100%
Histopathological Diagnosis No. of Subjects Percentage
AUB-P 27 21.43%
AUB-A 13 10.31%
Single factor AUB-L 32 25.40%
AUB-M 15 11.90%
AUB-P, A 1 0.79%
AUB-P, L 2 1.59%
AUB-P, M 3 2.38%
AUB-A, L 26 20.63%
AUB-A, M 0 0%
Multi factorial AUB-L, M 1 0.79%
AUB-A, L, M 1 0.79%
AUB-P, A, L 5 3.97%
Total 126 100%
Conclusion
In conclusion, our study demonstrated a robust
clinicopathological correlation when employing the PALM -
COEIN classification system. Notably, Leiomyoma emerged as
the predominant etiology contributing to Abnormal Uterine
Bleeding (AUB) in the perimenopausal age group. The inclusion
of multiple etiologies in this classification facilitated the
identification of dual pathologies, such as AUB-A, L, and AUB-
A, P in our investigation. Histopathological examination proved
indispensable in accurately diagnosing cases overlooked
clinically. Therefore, we assert that the PALM -COEIN
classification system is a valuable tool, serving both cl inical and
histopathological aspects, with mutual complementarity. Proper
categorization within this system aids in optimizing patient
treatment.
In the con text of AUB -A, a significant ( p< 0.05) disparity
between clinical and histopathological diagnoses wa s noted.
This discrepancy is attributed to the similarity in symptoms and
signs between adenomyosis and leiomyoma, making clinical
differentiation challenging. Our study further emphasized the
significance of histological examination as a complementary
diagnostic tool, particularly evide nt in the highly significant ( p<
0.03) clinical and histopathological diagnosis of the AUB -A, L
combination within the PALM component of AUB.
Acknowledgments
I extend sincere gratitude to Dr. Kumkum Avasthi for her
meticulous guidance and to Dr. Zeenie Sarda Girn for invaluable
support in Obstetrics and Gynaecology. Thanks to Dr. Venus
Bansal, Dr. Muskaan Chhabra, and Dr. Aikaj Jindal for their
contributions. I acknowledge Dr. Sonam Gilhotra and colleagues
for their unwaveri ng support. Thanks to Miss Sakshi, Mrs.
Jaswinder, and Mrs. Namita Bansal for their assistance. I
appreciate Mrs. Namita Bansal's statistical analysis and Mr.
Gurdeep Singh (ALPS) for manuscript attention. Profound
thanks to the Department of Obstetrics an d Gynaecology staff.
Lastly, heartfelt appreciation to the patients for their invaluable
cooperation in the clinical study.
Conflict of Interest
Not available
Financial Support
Not available
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How to Cite This Article
Avasthi K, Bhavani BH, Gilhotra S , Goyal A. A study to correlate cl inical
with pathological findings in abnormal uterine bleeding (AUB) .
International Journal of Clinical Obstetrics and Gynaecology 2023; 7(6):
80-88.
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