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Evaluation of Serum Uric Acid and Creatinine in Post-Menopausal
Women Residing in Maiduguri Metropolitan Council (MMC) As a
Risk Factor for Renal Failure
Lawrence Ocheme Akor., Fatima Zakari Abacha., Wadai Smith., Emeka Walter Ndubuisi., Nana Thliza
Solomon and Barka Abbas Maladi
Department of Medical Laboratory Science, University Of Maiduguri, Maiduguri, Nigeria
DOI: https://doi.org/10.51244/IJRSI.2025.120800173
Received: 08 Aug 2025; Accepted: 15 Aug 2025; Published: 17 September 2025
ABSTRACT
Menopause is a turning point in the life of a woman where the woman faces hormonal changes that may
predispose the individual to different health problems and renal dysfunction being one of them. This analysis
did an assessment on the uric acid and creatinine concentrations in the serum of post-menopausal women
living in Maiduguri Metropolitan Council (MMC) as a way of determining whether they can be used as early
predictors of the risk of renal failure. A total of 215 volunteers were recruited, of which 165 were post-
menopausal women and 50 were pre-menopausal controls of the same age group. Blood samples were taken
and blood analyzed by regular enzyme and colorimetric methods. The findings showed that there were
significantly higher levels of serum uric acid (427.10 ± 114.54µmol/L) and creatinine (118.43 ± 60.35µmol/L)
in post-menopausal women than in the control group (p < 0.05). Further, there was a weak but significant
positive correlation between serum uric acid and creatinine (r= 0 53) and each biomarker with the BMI. This is
an indication that menopause can be a predisposing factor to kidney impairment because of the loss of
protective effects that estrogen had on the kidney. It is recommended that renal biomarkers should be
monitored regularly in women, especially post-menopausal and peri-menopausal women to detect the onset of
chronic kidney disease and prevent it.
Keywords: Menopause, Post-menopausal women, chronic kidney disease (CKD), Biomarkers, Body mass
index (BMI), Estrogen, uric acid, creatinine.
INTRODUCTION
Statement Of Problem
In recent years there has been an ever increase in research on women's health in post menopause. There is no
confusion that biomedical research dominates the field. The series of complications that arises during the
postmenopausal age includes flushes/sweating, fatigue, sleep disturbances, mood swings and joint/muscle pain
(Perez et al., 2012). Joint and muscle pain are the most frequently encountered symptoms in post menopause.
This symptom if not properly diagnosed, combines with other deteriorating factors such increase in uric acid
and Creatinine which can eventually results in renal failure. Early diagnosis and treatment of this condition
will prevent the occurrence of renal failure among postmenopausal women.
Aims and objectives of the study
Aims of the study
The aim of the study is to assess the level of uric acid and Creatinine among postmenopausal women residing
in Maiduguri metropolitan council.
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Objectives of the study
The objectives of the study are;
1. To determine the level of serum uric acid in postmenopausal subject.
2. To determine the level of serum Creatinine in postmenopausal subject.
3. To correlate the level of serum uric acid and Creatinine among postmenopausal subject and control.
4. To determine if any significant correlation exist between the level of creatinine and BMI in Post-
Menopausal Women.
Significance of the study
The outcome from this research will be used to provide baseline information about the status of uric acid and
Creatinine in postmenopausal women.
Research questions
The following research question would be addressed in the process of investigating the problem of the study;
1. What is the level of serum uric acid in postmenopausal subject?
2. What is the level of serum creatinine in postmenopausal subject?
3. Is there any significant correlation between the level of serum uric acid and Creatinine among
postmenopausal subjects and normal control?
4. Is there any significant correlation between the level of creatinine and BMI in Post-Menopausal subject?
Scope of study
The study will be limited to only postmenopausal subjects residing in Maiduguri metropolitan council, Borno
state.
LITERATURE REVIEW
Menopause occurs physiologically as a result of a decrease in the hormones progesterone and estrogen
produced by the ovaries (Harlow et al., 2012). When a woman reaches menopause, also known as the
climacteric, her menstrual periods cease permanently and she is no longer able to have children (Monterrosa-
Castro et al., 2012). Typically, menopause starts between the ages of 49 and 52 (Takahashi et al., 2015). When
a woman has gone one year without having her period, she is said to be postmenopausal (Sievert and Lynnette,
2024). It may be seen to have happened at the time of surgery in people who had their uterus removed but still
had ovaries.
Usually, menopause is a normal change. Women who smoke tobacco may experience it early (Soares and
Warren, 2009). While not normally required, hormone levels in the blood or urine can be used to confirm a
diagnosis of menopause. Menopause and post-menopause symptoms can include painful intercourse, dry
vaginal tissue, low energy, stiff joints, back pain, enlarged breasts, breast pain, heart palpitations, migraines,
dizziness, rosacea, weight gain, heavy night sweats, and hot flashes (Hoffmann and Barbara, 2012).
The metabolic byproduct of purine metabolism is uric acid (Chaudhury et al., 2013). Uric acid levels are lower
in women than in males while they are younger, but this gender difference disappears as women age,
especially after menopause (Hak et al., 2010). Emerging evidence suggests hyperuricemia in post menopause
was associated with increasing risk of the incidence and progression of chronic kidney disease (CKD) (Mallet
et al., 2016).
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The breakdown of creatine and phosphocreatine in the muscle results in the production of creatinine, a non-
protein nitrogenous (NPN) waste product (Salazar, 2014). The amino acids arginine, glycine, and methionine
are transaminated to creatine it in the liver, pancreas, and kidneys (Lesley and Andrew, 2019). Muscle is where
the majority of creatinine is created. Therefore, a patient's muscle mass, diet, age, gender, and skeletal muscle
diseases all have an impact on the concentration of plasma creatinine (Lesley and Andrew, 2019). Compared to
blood urea nitrogen (BUN), creatinine is better suitable as a measure of renal function since it is less impacted
by food (Prince et al., 2010). The most used screening test for renal failures is serum creatinine. Theoretically,
because postmenopausal women have less muscle mass, serum creatinine would underestimate their level of
renal failure (Schaubelet al., 2005).
Kidney disease is usually asymptomatic with a long latent period and only becomes symptomatic when at least
50% of functional renal is lost (MacLean and Ndubuisi, 2017). In women, over 195 million cases have been
reported worldwide. Women are infrequently diagnosed with kidney diseases until they reach menopause
(Jurimae, 2007). When their sex hormone- estrogen begins to disappear from their system, the rate of kidney
disease begins to increase. As a result, estrogen is believed to have a protective effect against developing
kidney diseases (Jurimae and Jurimae, 2007).
In recent years there has been an ever increase in research on women's health in post menopause. There is no
confusion that biomedical research dominates the field. Joint and muscle pain are the most frequently
encountered symptoms in post menopause. This symptom if not properly diagnosed, combines with other
deteriorating factors such increase in uric acid and Creatinine which can eventually results in renal failure.
Early diagnosis and treatment of this condition will prevent the occurrence of renal failure among
postmenopausal women. This study was carried out to assess the level of uric acid and Creatinine among
postmenopausal women residing in Maiduguri metropolitan council.
Symptoms
Menopausal transition, also known as "perimenopause," is a predetermined period of time that starts when
menstrual cycles start to become erratic and ends until the last menstrual period occurs (Soares, 2023).
Menstrual irregularities, including heavy, protracted periods mixed with amenorrheic episodes, diminished
fertility, vasomotor symptoms, and sleeplessness, characterize this time period. A few of these symptoms
could appear four years before menstruation stops (Brinton et al., 2015). Vasomotor symptoms, urogenital
atrophy, osteoporosis, cardiovascular disease, cancer, mental symptoms, cognitive decline, and sexual issues
are among the main health concns of menopausal women (Dalal and Agarwal, 2015).
Vasomotor Symptoms
Vasomotor symptoms affect most women during the menopausal transition, although their severity and
duration vary widely between women (Mishra and kuh, 2012). Hot flashes are reported by up to 85% of
menopausal women (Utian, 2014). Hot flashes are present in as many as 55% of women even before the onset
of the menstrual irregularity that defines entry into the menopausal transition and their incidence and severity
increases as women traverse the menopause, peaking in the late transition and tapering off within the next
several years (Col et al., 2016).The duration of symptoms that are less severe, however, may be longer. Up to
25% of women still experience hot flashes five or more years following menopause (Freeman et al., 2014).
Previously, it was believed that hot flashes were exclusively caused by the withdrawal of estrogen, although a
hot flash doesn't cause an abrupt shift in blood estradiol levels (Thurston et al., 2017). Others have connected
hot flashes to fluctuating levels of follicle-stimulating hormone (FSH) and estradiol (Freeman et al., 2014).
Vulvovaginal Atrophy
When estrogen levels fluctuate during the menopausal transition and then remain low after menopause, the
delicate urogenital tissues may get damaged and exhibit painful symptoms (Freedman, 2018). About 27% and
60% of women experience mild to severe vaginal dryness or dyspareunia symptoms during menopause
(Santoroet al., 2015). High rates of dyspareunia can also be caused by uterine prolapse, vaginal shortening and
constriction, and vaginal atrophy (Castelo et al., 2015). In addition, the urethra and bladder in the urinary tract
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contain estrogen receptors, and as the lack of estrogen becomes apparent, patients may experience Ul. In
contrast to vasomotor symptoms, vulvovaginal atrophy does not go better on its own over time (Wurzet al.,
2014).
Sleep Disturbances and Insomnia
Sleep quality generally deteriorates with aging, and menopause seems to add an additional, acute layer of
complexity to this gradual process (Santoro et al., 2015). Women report more trouble sleeping as they enter
into the menopausal transition, and sleep has been shown to be worse around the time of menses, both by self-
report as well as by actigraphy (Kravitzet al., 2015). Women report sleep difficulties approximately twice as
much as do men (Manber and Armitage,2018). In addition to hormones, the menopausal transition and aging-
related hormonal changes are linked to further deterioration in sleep quality. Women's claims of sleep
problems rise over time, and by the post-menopause, more than 50% of women report having trouble sleeping
(Sherman et al., 2017). Compared to males, women appear to endure more negative sleep-related impacts as
they age (Ohayon, 2016).
Kidney Failure In Post Menopause
One of the many issues that affect elderly populations is chronic kidney disease (CKD). Age affects the
prevalence of CKD, with elderly people experiencing a much higher incidence (22.0%) than people of middle
age (6.4%) or young age (2.8%) (Park et al., 2016). Men and premenopausal women had a lower incidence of
CKD at 7.4 percent and 4.7 percent, respectively, compared to postmenopausal women, who have a higher
incidence of 20.1 percent (Yu et al., 2010).
Metabolic abnormalities are related to the development of CKD. Estrogen reduces kidney disease under
normal circumstances; however, as estrogen levels can fall by as much as 80% during menopause (Ramesh et
al., 2017). For elderly women, this poses a major risk. Therefore, it's crucial to find strategies for maintaining
renal function as people get older. Estrogen is a viable alternative for slowing the progression of CKD because
it has been demonstrated to protect against both the development and progression of CKD. By lessening
kidney damage brought on by the formation of superoxide, estrogen-based hormone replacement therapy
(HRT) has been proven to have preventive effects against kidney-related disorders (Park et al., 2018).
Uric Acid Level In Post Menopause
Up until the early 1800s, uric acid was thought to be a biologically inert waste product, but hyperuricemia is
now recognized as a well-established causal factor in gout and a potential risk factor for a number of chronic
conditions, including chronic kidney disease, cardiovascular disease, and metabolic syndrome (Johnson et al.,
2018). A common metabolic condition brought on by increased UA synthesis or poor uric acid elimination is
hyperuricemia (Matsuo et al., 2014). Pre-menopause, early menopausal transition, late menopausal transition,
and post-menopause are the transitional stages of the menopausal process, which include a gradual transition
from pre- to post-menopause (Harlow et al., 2012). Menopausal status and hyperuricemia have been linked in
prior studies (Hak and Choi, 2008). After adjusting for age and body mass index (BMI), menopause was found
to be independently linked with a high level of UA (Mumford et al., 2013). Obesity increases the risk of
cardiovascular disease in postmenopausal women and lower fertility and menstrual problems in premenopausal
women (Messinis et al., 2015). In addition to varying from nation to country, the prevalence of obesity, a risk
factor for hyperuricemia, rises following menopause (Lizcano and Guzman, 2014). Identification of the ideal
time for hyperuricemia preventative treatments depends on a better knowledge of the association between
menopausal stage and hyperuricemia (Cho et al., 2019).
UA levels are lower in women than in males when they are younger, but this gender difference vanishes as
women age, especially after menopause (Cho et al., 2019). Recent data indicates that postmenopausal
hyperuricemia was linked to an increased risk of the occurrence and progression of chronic kidney disease
(CKD) (Mallat et al., 2016).
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Mechanisms Of Hyperuricemia-Induced Renal Injury
Monosodium Urate (Msu) Crystal Deposition-Induced Renal Damage:
Uric acid has the characteristic of a weak organic acid, and most of it is ionized to MSU crystal at pH 7.4 and a
temperature of 37°C (Marangella, 2005). A solubility study showed that serum was supersaturated for MSU
crystal when the concentration of UA exceeded 6.5 mg/dL (Ruilope et al., 2016). As a consequence, UA and
urate crystals may deposit in the joints, kidneys and other tissues, inducing tissue damage.
Hyperuricemia-Induced Renal Inflammation:
During necrosis, the dying cell releases amount of danger signals, such as ATP, high-mobility group box
protein 1 (HMGB1), heat shock proteins, and UA, to activate immune response. UA may crystallize into MSU
crystal in the extracellular fluid and can be recognized by pattern recognition receptors (e.g., TLRs) expressed
on antigen-presenting cells (APCs, such as macrophages and TECs) as one of the danger-associated molecular
patterns (DAMPs), which ultimately activates immune and inflammatory responses. Notably, hyperuricemia
may induce renal inflammation via crystal-dependent and crystal-independent pathways (Braga et al., 2020).
Creatinine Level In Postmenopausal
Serum creatinine concentration increased steadily with age; in females from the age of 40 years, but it begins
to decrease at post menopause due to decreasing muscle mass (frassetto et al., 2005). At post menopause again,
the creatinine level can also increase when the woman begins to have kidney problem. The changes in serum
creatinine concentration that occur with age are relevant in interpretation of the results of renal monitoring.
Creatinine Level In Kidney Disease
When there is kidney disease, the rate of creatinine excretion is substantially lower than the rate of production,
which causes a sharp rise in blood creatinine levels, or azotemia (Jaromir and Radim, 2008). Since the body
consistently produces creatinine, testing blood creatinine levels is a great approach to determine the glomerular
filtration rate (GFR), a measure of total kidney function (Edmund and Christopher, 2015).
MATERIALS AND METHODS
Study Area
The study was carried out in Maiduguri metropolitan council (MMC). Maiduguri is the capital of Borno State,
Nigeria, which lies within Latitude 10°N and 14°N and Longitude 11°30ʼE and 14°45ʼE and an area of
61435sq.km. The state is situated in the northeastern region of the country with over 20million people
population, comprising of six states (Borno,Yobe,Adamawa,Taraba,Bauchi and Gombe) as well as sizeable
number across the borders of Cameroon, Chad and Niger Republics (Nafadaet al,. 2011).
Study Subjects
A total of 215 subjects were recruited for this study. These consist of 165 postmenopausal subject and 50
premenopausal women who were used as control sample.
Inclusion Criteria
Only subjects that were 49 years and above, who gave their informed consent and were residing in Maiduguri
metropolitan city were recruited for this study.
Exclusion Criteria
Subjects below 49 years of age and not residing in Maiduguri metropolitan were excluded from the study.
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Postmenopausal subject with diabetes, kidney disease and cardiovascular disease were excluded from this
study.
Informed Consent
The informed consent of the subject was obtained from the subjects using a standard protocol.
Ethical Consideration
Ethical approval for the study was granted by the Research and Ethics Committee of the Borno State Ministry
of Health.
Sample Size Determination
The minimum sample size was calculated from a standard formula for calculation of minimum sample size
(Petra, 2012) the formula is as shown below;
n= (z1-a)2(p)(1-p)
d2
Where;
n=minimum sample size
Z1-a=the value of standard normal deviation which is at 95% confidence intervals has been found to be 1.96
p=the estimate of the people prevalence obtained from literature review
d=the difference between the true population and the sample that can be tolerated, that is the absolute precision
required (in percentage point) on either side of the population.
At prevalence rate of menopause of 12.2% (Amehet al., 2016). Using 5% precision at 95% confidence level,
the minimum sample size n for this study was calculated as follows:
n= (z1-a)2(p)(1-P)
d2
n= (1.96)2(0.122)(1-0.122)
(0.05)2
n= 3.84×0.122×0.878
0.0025
n= 165subjects
Therefore, the minimum sample size was 165 subjects.
Sample Collection, Processing and Storage
Five milliliter (5ml) venous blood sample was collected through venipuncture and was dispensed into plain
containers. The blood in the plain container was allowed to clot, the serum was then obtained by centrifugation
at 4000 rpm for 10minutes. Serum was then stored at 4oC for batch analysis.
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Laboratory Analytical Method
Serum uric acid and creatinine were estimated using the following method;
Estimation of Serum Uric Acid
Serum uric acid was determined by enzyme colorimetric (uricase) method as described by fossattiet al. (1980).
Principle of Test
Uric acid is oxidized by uricase to allantoin and hydrogen peroxide, which under the catalytic reaction
influence of peroxidase oxidizes 3,5- dichloro-2-hydroxybenzene sulfonic acid and 4-aminophenazone to red
violet quinonamine compound. The colour Sintensity formed is proportional to the uric acid concentration.
Procedure of Serum Uric Acid Estimation
In each clean test tube labeled as blank, standard and test, 1ml of uric acid reagent was dispensed and 0.02ml
of standard and serum sample (test) was added respectively. It was mixed thoroughly and incubated for 10
minutes at room temperature. Absorbance was read against blank reagent using spectrophotometer at 546nm
wavelength.
Conc. Of Test = Abs of Test x Conc. of Standard
Abs of Standard
Reference Range: 142-416µmol/L.
Estimation of Serum Creatinine
Serum creatinine was determined by Jaffe slot alkaline picrate method as described Jaffe (1886).
Principle of Test
Alkaline picrate reagent reacts with creatinine in serum to form an orange red coloured solution whose
absorbance is directly proportional to the concentration of creatinine in the sample.
Procedure of Serum Creatinine Estimation
Procedure for serum creatinine estimation is of two stages;
Stage1: (Deproteinization Stage)
In each clean test tube labeled as blank, standard and test. 1000ul of 10% sodium tungstate (10%NaWO4) was
dispensed into the test tubes and 1000ul of sulphuric acid was added respectively. 500ul of standard and test
were added to standard and test respectively. The contents were vortexed vigorously and were centrifuged at
4000rpm for 10 minutes and the supernatant to each tube (1ml) were separated into another labeled test tubes
respectively.
Stage2: (REACTION STAGE)
1ml of picric acid was dispensed into the test tubes containing the supernatants (1ml) and 1ml of sodium
hydroxide (NaOH) was added to them respectively. The tubes were incubated for 10 minutes at room
temperature and absorbance was read against the blank using spectrophotometer at 500nm wavelength.
Conc. of Test = Abs of Test x Conc. of Standard
Abs of Standard
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Reference Range: 44-132µmol/L.
Statistical Analysis
The statistical analysis was performed using the Statistical Product and Service Solutions (SPSS) version 21.0,
2012. The statistical methods included the mean, standard error of mean. The Student t-test was used for
comparisons of data. A Pearson Correlation model was used to determine correlation between multiple data. A
value of p<0.05 was considered if it’s significant or not, a value of p<0.01 would be considered highly
significant or not.
RESULT, DISCUSSION AND CONCLUSION
Results
Two hundred and fifteen (215) subjects, who had given informed consent, were recruited into the study and it
consisted of 165 post-menopausal women (as the study subjects) with a mean age of 55.44±7.67 and 50 pre-
menopausal women (the control subjects) with a mean age of 28.20±7.16. The study accessed the level of
serum uric acid and creatinine in post-menopausal women residing in Maiduguri metropolitan city.
Table 1 shows a demographic data of the study subjects and control individuals. There was a significant
difference (p<0.05) in the mean values of ages of post-menopausal women and control subjects. On the other
hand, there is no significant difference (p> 0.05) in the means of BMI.
Table 1: Demographic Data of Post-Menopausal Women and Controls
Parameters
Post-Menopausal Subjects (n=165)
Controls (n=50)
p-value
Remarks
Age (years)
55.45 ± 7.67
28.20 ± 7.16
0.000
S
23.83 ± 2.52
23.38 ± 3.87
0.45
NS
All values are expressed as mean ± standard deviation.
NS- Not Significant and S- Significant
Table 2 shows the comparison of the biochemical parameters between post-menopausal women and control
subjects. The table revealed that there is significant difference (p< 0.05) in the mean of serum uric acid (427.10
± 114.54 vs 335.54 ± 48.22) and serum creatinine (118.43 ± 60.35 vs 66.74 ± 9.25).
Table 2: Serum Biochemical Parameters of Post-Menopausal Women and Control Subjects
Parameters
Post-Menopausal (n=165)
Controls (n=50)
P value
Remarks
Uric Acid (umol/l)
427.10 ± 114.54
335.54± 48.22
0.000
S
Creatinine (umol/l)
118.43 ± 60.35
66.74 ± 9.25
0.000
S
All values are expressed as mean ± standard deviation.
NS- Not Significant and S- Significant
Table 3 shows Karl Pearson’s correlation between the levels of serum creatinine with the serum uric acid of
post-menopausal women. It showed a weak positive significant correlation (r= 0.53; P= 0.000) between levels
of serum uric acid and serum creatinine as shown in Fig. 1. The table also shows Karl Pearson’s correlation
between serum creatinine and BMI of post-menopausal women. It showed a weak positive significant
correlation (r= 0.01; P= 0.000) as shown in Fig. 2.
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Table 3: Karl’s Pearson Correlation between Serum Creatinine with Uric Acid and BMI in Post-Menopausal
Women
Parameters
Karl Pearson Correlation Coefficient(r)
P-value
Remarks
Uric Acid (umol/l)
0.53
0.000
S
BMI
0.01
0.000
S
S- Significant
Table 4 shows Karl Pearson’s correlation between the levels of serum uric acid with BMI of post-menopausal
women. It showed a weak positive significant correlation (r= 0.04; P= 0.000) between levels of serum uric acid
and BMI as shown in Fig. 3
Table 4: Karl’s Pearson Correlation between Serum Uric Acid and BMI in Post-Menopausal Women
Parameters
Karl Pearson Correlation Coefficient(r)
P-value
Remarks
BMI
0.04
0.000
S
S- Significant
Fig 1: Scattered Graph Showing the Relationship between Serum Creatinine and Uric Acid in Post-
Menopausal Women
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Fig 2: Scattered Graph Showing the Relationship between Serum Creatinine and BMI in Post-Menopausal
Women
Fig 3: Scattered Graph Showing the Relationship between Serum Uric Acid and BMI in Post-Menopausal
women
DISCUSSION
Menopause is characterized by a change in the physiological condition as well as biochemical state of women
that in most cases causes a decrease in estrogen, which is vital in regulation of metabolism and kidney
protection (Dalal&Agarwal, 2015). This research explored the serum creatinine levels and uric acid in post-
menopausal women who might have an indication of renal dysfunction as compared to the pre-menopausal
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women who were the study controls. The increase in serum uric acid and creatinine is prominent in the post-
menopausal women due to the indicated possibility of renal health implications after menopause.
Mean serum uric acid in post-menopausal group (427.10 ± 114.54 pmol/L) was significantly higher than the
control group level (335.54 ± 48.22 pmol/L) with the value of p < 0.05, which is considered to be significant.
The result correlates with the original research conducted byHak et al. (2010), who also found that the levels of
serum uric acid elevate in women at post menopause as the estrogen levels fall since they boost the excretion
of uric acids. Estrogen is considered to have uricosuric activity; therefore, its decrease in menopause affects
the inability to eliminate uric acid and increases the predisposition of women to hyperuricemia (Mallet et al.,
2016; Lytvynet al., 2015).
Likewise, the serum creatinine levels were also significantly raised in post-menopausal women (118.43 ±
60.35 µmol/L) as compared to controls (66.74 ± 9.25 µmol/L) with a p-value < 0.05. An indicator of kidney
functioning that can be used to predict the presence of impaired glomerular filtration rate is elevated creatinine
(Edmund & Christopher, 2015). It is consistent with the results of Ikegwuonu et al. (2020) who also found
elevated creatinine levels in post-menopausal women, implying that subclinical kidney dysfunction may occur.
The study also established that there is a positive correlation between uric acid and creatinine (r = 0.53, p =
0.000) which makes it possible that the poor renal functioning could be linked to the presence of the two
waste-products. These data are added by the fact that hyperuricemia on its part can also lead to kidney damage
through processes like oxidative stress, endothelial dysfunction and inflammation based on research
(Roumeliotiset al., 2019; Braga et al., 2020).
Moreover, serum creatinine and BMI had a weak but significant positive correlation with each other (r = 0.01,
p = 0.000), as well as did the uric acid and BMI (r = 0.04, p = 0.000). These are correlations that can be
interpreted to mean that body composition is a factor that could affect renal biomarkers, but they produce poor
relationships. Earlier studies have already associated obesity and high BMI with a distorted kidney work and
uric acids metabolism, especially in post-menopausal females (Lizcano& Guzman, 2014).
The results of this research also support the need to monitor post-menopausal women with biochemical
indicators early enough due to the asymptomatic progress of chronic kidney disease (MacLean & Ndubuisi,
2017). As the world is facing an increased population of aging women, these biomarkers can act as important
indicators of renal risk factors among post-menopausal women more so in low resource environments like
Maiduguri.
CONCLUSION
This research has shown that there is a significant increase in serum uric acid and creatinine levels in post-
menopausal women in comparison to pre-menopausal women in the Maiduguri Metropolitan Council. These
data indicate that menopause is also the time of the first symptoms of renal impairment, presumably caused by
an insufficiency of estrogens and metabolic changes typical of this period in life. The correlations of serum
markers with BMI observed also indicate that body composition might alter the renal vulnerability. On the
whole, the study constitutes a piece of evidence that confirms the relation of menopause and the steadily
worsening renal functioning and promotes the use of uric acid and creatinine as predictors of early-stage renal
dysfunction in post-menopausal females.
RECOMMENDATION
1. Routine Monitoring: Health practitioners ought to promote frequent screening of serum uric acid and
creatinine among peri- and post-menopausal women during pre-preventive medical examination.
2. Community Awareness: The community should be aware of the renal health issues that may occur as a
result of menopause, and this should focus on the early symptoms and the preventive measures.
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3. Lifestyle Interventions: Healthier lifestyles in terms of weight control, balanced diet and exercise should be
recommended to post-menopausal women who need to develop healthier lifestyles to reduce risk factors with
the potential of inducing or worsening the condition of renal impairment (if they are obese).
4. Longitudinal studies: Future research would take a longitudinal study to track the change in the renal
biomarkers over the time as well as the effectiveness of hormone replacement therapy (HRT) in improving the
renal functioning.
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APPENDICES
Appendix I