Research Article (Open access) |
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SSR Inst. Int. J. Life Sci., 10(1): 3662-3668, Jan 2024
Evaluation of
Clinical Features and Biochemical Markers in Patients with Chronic Kidney
Disease
Luzoo
Prachishree1, Chandan Kumar Gantayat2, Suryasnata Sahoo3,
Susanta Kumar Nahak2*
1Assistant Professor, Department of Obstetrics and Gynaecology, MKCG Medical College & Hospital,
Berhampur, Odisha, India
2Assistant Professor, Department of General Medicine, MKCG
Medical College & Hospital, Berhampur, Odisha, India
3Assistant Professor, Department of Anaesthesiology
and Critical Care, SCB Medical College & Hospital, Cuttack, Odisha, India
*Address
for Correspondence: Dr.
Susanta Kumar Nahak, Assistant Professor, Department of General Medicine,
MKCG Medical College & Hospital, Berhampur, Odisha, India
E-mail: nahaksusanta1234@gmail.com
Methods: The M.K.C.G. Medical College &
Hospital at Berhampur's Department of Medicine enrolled patients who met the
inclusion and exclusion criteria for chronic renal disease and received
conservative treatment. Approximately seventy-four patients with established
chronic renal disease, who were admitted to the M.K.C.G. Medical College &
Hospital's Department of Medicine between March 2021 and November 2022 and were
receiving conservative therapy were included in the research. Every patient
gave his or her informed permission.
Results: After analysis, the results were shown
as frequency, percentage, mean, and standard deviation. The chi-square test was
employed to see if the variables were related. A P value of less than 0.05 was
considered statistically significant. Microsoft Excel was used for data entry,
and the Statistical Package for Social Sciences (SPSS Ver. 24) was used for
analysis.
Conclusion: The kidney is an essential organ that
controls many body processes, such as hormone metabolism, secretion,
electrolyte balance, fluid and acid-base balance maintenance, and the excretion
of nitrogenous waste.
Keywords: Kidney, Chronic kidney disease (CKD), Type
2 diabetes, Hypertension, Cardiovascular illnesses (CVDs)
INTRODUCTION- As a crucial endocrine organ, the
kidney controls many bodily processes via secreting prostaglandins,
erythropoietin, renin, and an active form of vitamin D3 [1]. A
decline in GFR to less than 60 mL/min/1.73 m2 body surface area for
more than three months indicates CKD, which is characterized by
structural or functional damage to the kidneys.
The
prevalence of CKD, which is a major health issue, is steadily increasing,
particularly in developed nations where renal function is compromised [2].
However, recent findings point to an abrupt growth of concomitant disorders
such as type 2 diabetes, hypertension, and
CVDs in developing Asian nations [3]. An increase in the number of CKD
cases is
correlated with a significant growth in healthcare costs related to managing
CKD, particularly in the fifth stage [4].
The
incidence of CKD in India is 13.01 15.04%, with 6.62%, 5.40%, and 3.02% for
stages 1, 2, and 3. The most frequent cause of CKD is diabetic nephropathy, and
India is the world's diabetes capital. In India, there are around 7.85 million
people with CKD [5]. Chronic kidney disease is becoming
more commonplace globally, resulting in the permanent loss of metabolic,
endocrine, secretory, and excretory processes as well as nephrons [4,5].
The
last stage of chronic kidney disease that would cause death in the absence of
replacement treatment is known as end-stage renal disease. Irreversible nephron
loss, regardless of the cause, is the ultimate common pathway leading to an
altered
milieu interior, which impacts all bodily systems, including CKD. Common side
effects include hyperphosphatemia, dyslipidemia, thyroid dysfunction, and
excessive amounts of metabolic waste products, including urea and creatinine. Hypercalcaemia is one type of mineral bone problem
[6].
The kidney significantly influences
thyroid hormone metabolism, breakdown, and excretion.
The
synthesis, secretion, metabolism, and degradation of thyroid hormones can, therefore, be altered by the
long-term,
cumulative deterioration of renal structure and function, such as that seen in
CKD, which subsequently manifests itself in a variety of clinical syndromes
related to thyroid dysfunction [7,8].
These
disorders can be caused by various causes, including decreased
concentrations of circulating thyroid hormone, changes in peripheral hormone
metabolism, disrupted binding to carrier proteins, increased iodine reserves in
thyroid glands, and potential reductions in tissue thyroid content.
Eighth, even when a patient has normal
thyroid function tests, they may nevertheless have decreased levels of
tri-iodothyronine (T3), the most metabolically active thyroid hormone.
"Low T3 Syndrome" is the label used for this. Following are some
patterns in which thyroid dysfunction may manifest: thyroid hormone excess or
deficiency (hypothyroidism or hyperthyroidism); thyroid hypertrophy (diffuse or
nodular); and thyroid symptomology (asymptomatic or symptomatic, subclinical, and overt)
[7-9].
Dry
skin, cold sensitivity, asthenia, hyporeflexia, and reduced BMR are among the
clinical characteristics of patients with CKD that are like those of
hypothyroidism [6]. It is so challenging to rule out thyroid
dysfunction in CKD patients based alone on their clinical history. Thyroid
function anomalies in individuals with chronic kidney disease have been the
subject of several research. Hyperthyroidism, hypothyroidism, and euthyroidism have all been documented, although the
findings have been erratic from the start.
Comparing
the general population to those with chronic renal illness, epidemiological
studies have demonstrated a much greater frequency of thyroid function
abnormalities, particularly hypothyroidism [10]. In Nepal, South Korea, 38.6% of
patients had thyroid dysfunction; the most prevalent kinds were subclinical
hyperthyroidism (3.3%), overt hypothyroidism (8.1%), and subclinical
hypothyroidism (27.2%) [1,7]. It was revealed that thyroid
dysfunction affected 66% of CKD patients in South India (Chennai). Only 8% of
cases were due to hypothyroidism, whereas 58% were caused by low T3 syndrome.
MATERIALS AND METHODS
Source of data- Patients
who were on conservative management fulfilling criteria for chronic kidney disease
as per inclusion and exclusion criteria were admitted to the Department of
Medicine, M.K.C.G. Medical College & Hospital, Berhampur, India.
Study
subjects- Around 74 patients who
had documented chronic kidney disease, were on conservative management and were
admitted to the Department of Medicine, M.K.C.G. Medical College & Hospital
from March 2021 to November 2022 were enrolled in the study. Informed consent
was obtained from all patients.
Inclusion
criteria
✔
variations in the urinary system (proteinuria)
✏
Disorders in the blood (renal tubular syndromes)
✔
Disorders in imaging
●
Transplantation of the kidneys
Exclusion
criteria
●
Patients
on peritoneal dialysis or hemodialysis
●
Kidney
transplant patients
●
Patients
with a history of thyroid function abnormalities are already on thyroid
supplementation or anti-thyroid drugs.
●
Diabetes
●
Nephrotic
range of proteinuria
●
Acute
stress
●
Recent
surgery, trauma, burns, CVA, AMI
●
Cases
of drugs altering thyroid profile like
Method of
collection of data- Data collected in a
Pre-designed Case Investigating Proforma after obtaining consent. Then, the
participants were subjected to necessary investigations, and the results were
recorded.
Elimination
of bias- The study's most common
bias, Selection Bias, was eliminated by adding all patients who met the
Inclusion and Exclusion criteria. Accurately measuring and cross-checking all
essential study variables at least three times before classifying and reviewing
previous records eliminated information bias.
Statistical
Analysis- Methods such as
frequency, percentage, mean, and standard deviation were used to present the
results. We looked for correlations between the variables using the chi-square
test. Statistics were considered significant when the P value was less than
0.05. The statistical package for the social sciences (SPSS Ver. 24) was used
for analysis, whereas Microsoft Excel was used for data entry.
Ethical Approval- The study has been approved by the Ethical Committee
of the MKCG
Medical College & Hospital, Berhampur, Odisha.
RESULT- Male
predilection was noticed in our study with 47 males and 27 females suffering
from disease. Male to female ratio was 1.74:1. In age groups <30, 30-60, and
>60 years, 14, 27, and 6 male patients were seen. Similarly, 4, 19, and 4
female patients were seen in age groups <30, 30-60, and >60 years old. A
total of 38.11 10.8 years old were the patients. Participants' ages ranged from
22 for the youngest to 66 for the oldest. The average age of male patients was
36.62 10.6 years, and female patients were 40.7 10.8 years. There was no
statistically significant difference (p=0.11) between the sexes about age.
Table 1: Distribution of age based on gender
Age (Years) |
Male |
Female |
Total (%) |
<30 |
14 |
4 |
18
(24.3) |
30-60 |
27 |
19 |
46
(62.2) |
>60 |
6 |
4 |
10
(13.5) |
Total |
47 |
27 |
74
(100) |
Mean SD |
36.62 10.6 |
40.7 10.8 |
p=0.11NS |
Fig. 1: Distribution of age based on gender
Table 2: Distribution of presenting complaints
Symptoms |
No. of patients (N) |
Percentage (%) |
Decreased
appetite |
38 |
51.4 |
Nausea/Vomiting |
37 |
50 |
Oliguria |
21 |
28.4 |
Hiccups |
24 |
32.4 |
Weight
loss |
33 |
44.6 |
Dyspnea
|
25 |
33.8 |
Uremic
flap |
21 |
28.4 |
Fig. 2: Distribution of Presenting Symptoms
Out of 74 patients studied, most patients
(31 cases, 41.9%) had symptoms of CKD for 7 to 12 months, followed by 22
patients (29.7%) and 14 patients (18.9%) with symptoms extending from 0 to 6
months and 13 to 18 months. Four patients (5.4%) reported experiencing symptoms
from 19 to 24 months while 3 patients (4.1%) had symptoms from 25 to 30 months.
The mean duration of symptoms was 10.93 7 months with a range of 3.5 months
to 36 months.
Table 3: Distribution based on the duration of symptoms in
months
Duration (Months) |
No. of patients (N) |
Percentage (%) |
0-6 |
22 |
29.7 |
7-12 |
31 |
41.9 |
13-18 |
14 |
18.9 |
19-24 |
4 |
5.4 |
25-30 |
3 |
4.1 |
Total
|
74 |
100 |
Fig. 3: Distribution based on duration of symptoms in months
Table 4: Distribution based on blood Urea Levels (mg/dL)
Blood urea (mg/dL) |
No. of patients (N) |
Percentage (%) |
40-80 |
21 |
28.4 |
81-120 |
37 |
50 |
121-160 |
9 |
12.2 |
161-200 |
7 |
9.5 |
Total
|
74 |
100 |
Fig. 4: Distribution-based blood Urea Levels (Mg/Dl)
Serum creatinine was below 4 mg/dL
in 22 patients (29.7%), 4 to 8 mg/dL in 39 patients (52.7%), 8 to 12 mg/dl in
11 patients (14.9%) and 12 to 16 mg/dL in 2 patients (2.7%). The mean serum
creatinine was 5.8 2.6 mg/dL.
Table 5: Distribution of serum creatinine levels (mg/dL)
Serum creatinine (mg/dL) |
No. of patients (N) |
Percentage (%) |
1.1-4.0 |
22 |
29.7 |
5.0-8.0 |
39 |
52.7 |
9.0-12.0 |
11 |
14.9 |
13.0-16.0 |
2 |
2.7 |
Total
|
74 |
100 |
Fig. 5: Distribution of serum creatinine levels (Mg/Dl)
Creatinine
clearance was <15 ml/min in 30 patients (40.5%), 15 to 29 ml/min in 37
patients (50%), and 30 to 59 ml/min in 7 patients (9.5%).
Table 6: Distribution based on creatinine clearance (ml/min)
CCL ml/min |
No. of patients (N) |
Percentage (%) |
<15 |
30 |
40.5 |
15-29 |
37 |
50 |
30-59 |
7 |
9.5 |
Total |
74 |
100 |
DISCUSSION- A range of unique pathophysiological mechanisms are included
in chronic kidney disease, which is linked to impaired kidney function and a
steady decline in glomerular filtration rate. CKD is a clinical syndrome that
results from irreversible loss of renal function [11]. This loss of
function affects metabolism, the endocrine,
excretory, and synthetic systems. It also causes an accumulation of nitrogenous substances
that are not proteins, which causes metabolic disturbances and unique clinical
symptoms. End-stage renal disease is defined as the
final stage of chronic kidney disease, in which patients would not be able to
live without replacement treatment and would ultimately pass away.
Despite
having a variety of causes, CKD is the ultimate common pathway of permanent
nephron loss, which alters the interior milieu and affects many bodily systems,
including the thyroid hormone system [12]. There is a connection
between the kidney and thyroid functioning.
Thyroid
hormones are necessary for kidney growth and development and preserving water and electrolyte
balance. Consequently, iodine excretion is decreased in severe renal failure.
Poor renal clearance of iodine results in increased amounts of inorganic iodide
in the blood, which may inhibit the generation of thyroid hormone and cause the
Wolff-Chaikoff effect.
Abnormal
thyroid function is linked to low blood total and free T3 concentrations and
normal levels of reverse T3 and free T4 in patients with chronic renal disease [13-15].
Most people have TSH levels that are almost normal and are determined to be in
a euthyroid condition. Numerous investigations have been carried out to examine
aberrant thyroid function in individuals with chronic renal disease. All
anomalies, including euthyroidism, hyperthyroidism,
and hypothyroidism, have been documented in earlier research. It is unclear how
severe renal failure and thyroid dysfunction are related to one another.
The
current investigation sought to ascertain the frequency of thyroid dysfunction
in individuals with CKD and the relationship between thyroid
dysfunction and the severity of renal illness [16-20]. Numerous research with varying
degrees of CKD severity and thyroid dysfunction have been done. In
our investigation, we only looked at CKD patients receiving conservative
treatment. This is because dialysis affects the thyroid profile
differently than chronic renal disease. Patients with renal failure who get dialysis
often have alterations in their prior serum thyroid hormone levels [21-24]. Studies by Ramirez et al. and
Kayima et al. have compared individuals with HD and CKD receiving conservative
treatment. We looked at 74 CKD patients. We discovered male preponderance in
the current study, with a male-to-female ratio of 1.74:1. The patients' ages
ranged from 22 to 66 years old, with a mean age of 38.11 10.8 years. The bulk
of patients were in the 30- to 60-year-old age range. Patients who were 30
years of age or under were 18, those who were 31 to 60 years old were 46, and
those who were 60 years of age or beyond were 10. Our findings aligned
with the research by Kumar A. et al. They discovered that out of
the 50 patients in the sample, 17 were female, and 33 were male. The age range
covered was 21-70 years. Most of the patients in
the sample belonged to the 51-60 age range. 48.8 years was the
mean age.
Foundation
[25] previous investigation
supported our study's findings. Patients with aberrant thyroid profiles ranged in age from
18 to 75 years old, with an average age of 54.4 years. In contrast to our
findings, the greatest number of patients (32 individuals) were in the 50 70
age range. The ratio of men to women is 24:16. In the CKD with T. days group,
the mean age and weight were 54.4 11.0 and 55.12 6.63, respectively.
CONCLUSIONS-
This study concluded that Chronic
kidney disease (CKD) symptoms, duration, and biochemical markers in 74
patients show significant patterns. The most common symptoms were weight loss,
nausea/vomiting, and decreased appetite. The study reveals significant delays
in CKD diagnosis, with patients experiencing symptoms for 7 to 12 months before
identification. Elevated blood urea and serum creatinine levels indicate renal
impairment, stressing the importance of prompt CKD diagnosis and management intervention.
While addressing CKD prevalence and management in a specific context, the study
overlooks risk factors and challenges in developing Asian countries, notably
among those with type 2 diabetes and hypertension. Future research could
explore how these factors influence CKD progression and develop targeted
interventions.
Additionally, investigating
socioeconomic and cultural influences on CKD prevalence and management, along
with longitudinal studies tracking patient outcomes, could inform tailored CKD
management strategies in resource-limited settings, including the exploration
of new diagnostic tools and treatment approaches.
Research concept-
Susanta Kumar Nahak, Luzoo Prachishree
Research
design- Luzoo Prachishree
Supervision-
Susanta Kumar Nahak
Materials-
Chandan Kumar Gantayat
Data
collection- Chandan Kumar Gantayat
Data
analysis and Interpretation- Luzoo Prachishree, Susanta Kumar Nahak
Literature
search- Suryasnata
Sahoo
Writing
article- Luzoo Prachishree
Critical
review- Susanta Kumar Nahak
Article
editing- Luzoo Prachishree
Final
approval- Susanta Kumar Nahak
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