SlideShare une entreprise Scribd logo
1  sur  6
Télécharger pour lire hors ligne
International Journal of Medical, Pharmacy and Drug Research (IJMPD)
Article DOI: https://dx.doi.org/10.22161/ijmpd.7.1.3
Peer-Reviewed Journal Int. J. Med. Phar. Drug Re., 7(1), 2023
ISSN: 2456-8015
Int. J. Med. Phar. Drug Re., 7(1), 2023
Online Available at: https://www.aipublications.com/ijmpd/ 19
Assessment Outcomes Dyslipidaemia in Dialysis
Patient
Dr. Sabah Ali Jaber Alhelu*1, Dr. Thaer Jabbar AL-Zaidy2, Dr. Ayad Hameed
Tailan3
1Ministry of Higher Education and Scientific Research, Jabir Ibn Hayyan Medical University, College of Medicine, Al-Najaf,
Iraq. M.B.Ch.B.  F.A.B.H.S.  (Consultant Internist  Diabetologist)
2M.B.Ch.B.  C.A.B.M.S.  M.D.  (Medicine) Iraqi Ministry of Health, Thi-Qar Health Office, Al-Nasiryah Teaching Hospital,
Thi-Qar
3M.B.Ch.B.  C.A.B.M.S. (Nephro) & C.A.B.M.S.  (Medicine) Iraqi Ministry of Health, Thi-Qar Health Office, Al-Nasiryah
Teaching Hospital, Thi-Qar, Iraq
*Corresponding Author
Received: 17 Jan 2023; Received in revised form: 11 Feb 2023; Accepted: 20 Feb 2023; Available online: 28 Feb 2023
©2023 The Author(s). Published by AI Publications. This is an open access article under the CC BY license
(https://creativecommons.org/licenses/by/4.0/)
Abstract
Background: Chronic kidney disease is defined as the presence, for more than three months, of changes in the
structure or function of the kidneys, secondary to a progressive decline in the number of nephrons, with a
consequent deterioration in health resulting from the inability of the kidneys to perform their excretory functions,
softener, and metabolism. Chronic kidney disease (CKD) is a clinical condition caused by the progressive and
progressive loss of kidney function. Chronic kidney disease is not only implicated by the gradual deterioration of
quality of life and life expectancy when it progresses to more advanced stages but also by the increase in
cardiovascular morbidity and mortality, which is the leading cause of death in these patients. Aim: This paper aims
to assess the outcomes of dyslipidemia in a dialysis patient. Patients and method: In this study, a descriptive cross-
sectional study was applied to study the Assessment Outcomes of Dyslipidemia in Dialysis Patients in Iraq from
4th January 2021 to 7th August 2022. Data were collected for 150 patients in different hospitals in Iraq, where the
patients were divided into two groups, the first group of patients, which included DIALYSIS PATIENTS, which
included 80, and the second group, the control group, which included patients, which include 70 patients. Results
and discussions: collected 150 cases distributed according to dialysis patients (80) and controls (70); the most
frequent ages in this study ranged from 40-49 years old 34 (42.5%) patients group, 33 (47.14%) control group with
a statistical difference of 0.0831. In this study was evaluated the Outcomes of dyslipidemia in a dialysis patient.
Imbalances were found in levels of dyslipidemia which LDL 5.12±3.4 of the patients' group, as for the control group
2.1±3.3-HDL 2.43±2.4 of the patients' group, 1.4±1.5 for the control group, TRIGLYCERIDE 1.75±1.8 of patients
group, 0.55±0.43 for the control group with A statistically significant relationship were found between dyslipidemia
levels and outcomes in the group of patients at P value < 0.05.
Keywords— HDL, LDL, CKD, Cirrhosis and Diabetes
I. INTRODUCTION
Chronic kidney disease is defined as the presence, for
more than three months, of changes in the structure or
function of the kidneys, secondary to a progressive
decline in the number of nephrons, with a consequent
deterioration in health resulting from the inability of
the kidneys to perform their excretory functions,
softener, and metabolism [1]. Chronic kidney disease
(CKD) is a clinical condition caused by the progressive
Alhelu et al./ Assessment Outcomes Dyslipidaemia in Dialysis Patient
Int. J. Med. Phar. Drug Re., 7(1), 2023
Online Available at: https://www.aipublications.com/ijmpd/ 20
and progressive loss of kidney function. Chronic
kidney disease is not only implicated by the gradual
deterioration of quality of life and life expectancy
when it progresses to more advanced stages but also
by the increase in cardiovascular morbidity and
mortality, which is the leading cause of death in these
patients [2]. The death rate for end-stage CKD is 30
times higher than that of the general population and
may be up to 1,000 times higher when it affects lower-
risk populations, such as children and adolescents,
where its prevalence is increasing due to the higher life
expectancy of the general population. [3,4]. Moreover,
the prevalence of chronic kidney disease in Spain,
according to the data of the EPIRCE study, is close to
10% when jointly assessing eGFR and albuminuria,
with 21.4% of subjects over 64 years of age reporting
only an eGFR < 60 mL/min / 1.73 sq. m. Age is the
risk factor that has been associated primarily with
CKD, with loss of function marked onset from the
third decade of life, with significant loss of renal
function from 60 years of age [5]. Based on German
studies, CKD is an independent risk factor for
cardiovascular disease, even in children and
adolescents whose exposure to other cardiovascular
risk factors is lower than in adults [6]. As a result,
atherosclerosis in patients with chronic kidney disease,
both pre-existing and new, presents an accelerated
progression, increasing the incidence of premature
cardiovascular events (in men <55 years or women <65
years). This effect may be related to a diffuse
inflammatory pattern that persists, although some
triggering factors can be corrected, such as renal artery
revascularization in cases of renal artery stenosis [7,8].
For all these reasons, chronic kidney disease should be
considered as a high and even very high
cardiovascular risk condition, which requires early
diagnosis and treatment and treatment of potentially
modifiable risk factors identified during the disease
[9]. Based on studies in the US, it is estimated that 6%
of the US population is in stages 1 and 2, while 4.5% is
focused on stages 3 and 4 of the same. 1 In Venezuela
for 2008, the figures for deaths from this disease were
dealt with for 1923, which accounted for 1.44% of all
deaths. As for the Spanish study, it indicates that
abnormalities of lipid metabolism similar to those
implicated in atherosclerosis (increased triglycerides,
total cholesterol, LDL, lipoprotein B, and decreased
non-HDL cholesterol) may also contribute to the
development of kidney injury, in particular, if
associated with proteinuria or high blood pressure
[11]. Plasma triglycerides begin to rise in the early
stages of CKD and are the result of elevated
production of lipoproteins rich in triglycerides,
increased synthesis of VLDL, and decreased rate of
partial catabolism due to decreased activity of
endothelial lipase (lipoprotein lipase (LPL) and liver
lipase). As a result, CKD patients had reduced plasma
HDL-cholesterol concentrations compared to non-
uremic individuals. Due to the lower apo A1 level and
lower LCAT activity, the reduced capacity of HDL
cholesterol particles may impair the reverse transport
of cholesterol from peripheral cells to the liver, thus
burdening the vascular system and promoting
atherosclerosis [12]. To follow up, the decrease in
lipoprotein lipase (LPL) activity and the consequent
decrease in VLDL catabolism play an important role,
leading to increased triglycerides and lower HDL
cholesterol. On the other hand, coexisting
hypoalbuminemia, by increasing levels of free lecithin,
can reduce lecithin- cholesterol acyltransferase (LCAT)
activity [13]. Cerebrovascular disease (CVD) begins
and Progresses during renal disease, years before
developing renal failure. On initiation of dialysis
treatment, 18% of patients had an acute myocardial
infarction (AMI), 22% had angina, 37% had episodes of
congestive heart failure, and approximately 80% had
left ventricular low ejection fraction (LVEF) <40% or
left ventricular hypertrophy or both [14]. Therefore,
they constitute the number one cause of mortality in
chronic kidney disease, and atherogenic lipoproteins
play an essential role in its development. Patients
deficient in this enzyme develop renal fatty deposits,
and progressive renal failure as chronic
hyperlipidemia (CKD) is associated with the
thickening of the carotid intima and media [15]. In the
early stages, there are also prebiotic changes: nocturnal
hypertension, insulin resistance, increased serum
lipoprotein, C-reactive protein, fibrinogen, and
parathyroid hormone changes that contribute to
cardiovascular (CV) damage. This paper aims to assess
the outcomes of dyslipidemia in a dialysis patient. [16]
II. MATERIAL AND METHOD
In this study, a descriptive cross-sectional study was
applied to study the Assessment Outcomes of
Alhelu et al./ Assessment Outcomes Dyslipidaemia in Dialysis Patient
Int. J. Med. Phar. Drug Re., 7(1), 2023
Online Available at: https://www.aipublications.com/ijmpd/ 21
Dyslipidemia in Dialysis Patients in Iraq from 4th
January 2021 to 7th August 2022. Data were collected
for 150 patients from different hospitals in Iraq, where
the patients were divided into two groups, the first
group of patients, which included DIALYSIS
PATIENTS for 80 cases, and the second group, which
was the control group which include 70 patients.
A statistical study was conducted for patients with
osteoporosis using the SPSS program, and This study
presented the demographic results of dialysis patients,
which included age between 30- 60 years and BMI
between <25, 25-30, >30, as well as CHRONIC
DISEASES, which included Stroke, Diabetes,
Hypertension, and Cirrhosis, including economic level
and social status classification, which was divided into
single and married, where these collected data were
presented and shown in Table 1. As shown in Table 2,
where the study of this research paper relied on the
Outcomes of dyslipidemia in a dialysis patient to
present the data presented, which included LDL, HDL,
TRIGLYCERIDE as well as DESIRABLE, NON-
DESIRABLE, which were applied to both groups, one
of which is the DIALYSIS PATIENTS group and the
other group CONTROLS as is evident in Table 2. Table
3 it showed a comprehensive evaluation of CKD
patients Distribution of patients based on stages of
CKD, which was divided into five stages, which
included S1, S2, S3, S4, and S5, which depended on the
degree of eGFR, which was distributed to the
FREQUENCY OF PATIENTS GROUP for CKD As
shown in Table 3. In addition, the collected data were
evaluated statistically and analyzed logistically, which
included age, stroke, diabetes, hypertension, LDL,
HDL, TRIGLYCERIDE, S3, and BMI, which were
distributed to both groups, hemodialysis patients and
control patients, as shown in Table 4.
III. RESULTS
Table 1- The demographic results of dialysis patients.
ITEMS
DIALYSIS
PATIENTS(80)
CONTROLS(70) P-VALUE
AGE
30-39 25 (31.25%) 17 (24.29%) 0.044
40-49 34 (42.5%) 33 (47.14%) 0.0831
50-60 21 (26.25%) 20 (28.57%) 0.0475
BMI
< 25 17 (21.25%) 14 (20%) 0.0491
25-30 29 (36.25%) 25 (35.71%) 0.0493
>30 34 (42.5%) 31 (44.29%) 0.0485
CHRONIC DISEASES
Stroke 22 (27.5%) 16 (22.86%) 0.0433
Diabetes 17 (21.25%) 14 (20%) 0.0492
Hypertension 14 (17.5%) 18 (25.71%) 0.03853
Cirrhosis 27 (33.75%) 22 (31.43%) 0.0485
ECONOMIC LEVEL
LOW 35 (43.75%) 17 (24.29%) 0.0266
MIDDLE 25 (31.25%) 33 (47.14%) 0.0315
HIGH 21 (26.25%) 20 (28.57%) 0.0487
MARITAL STATUS
SINGLE 22 (27.5%) 18 (25.71%) 0.0481
MARRIED 58 (72.5%) 52 (74.29%) 0.0482
Alhelu et al./ Assessment Outcomes Dyslipidaemia in Dialysis Patient
Int. J. Med. Phar. Drug Re., 7(1), 2023
Online Available at: https://www.aipublications.com/ijmpd/ 22
Table 2- Outcomes of dyslipidemia in a dialysis patient.
ITEMS
DIALYSIS
PATIENTS(80)
CONTROLS
(70)
P-VALUE
LDL 5.12±3.4 2.1±3.3 0.0474
HDL 2.43±2.4 1.4±1.5 0.0483
TRIGLYCERIDE 1.75±1.8 0.55±0.43 0.049
TOTAL CHOLESTEROL
DESIRABLE 2.75±1.7 1.2±0.32 0.0486
NON- DESIRABLE 4.9±1.34 3.6±0.47 0.0452
Table 3- Distribution of patients based on stages of CKD.
STAGES EGFR F (%)
S1 17±3.2 15 (18.75%)
S2 70±10 21 (26.25%)
S3 45±12 17 (21.25%)
S4 22±7.4 8 (10%)
S5 9±6.6 19 (23.75%)
Table 4 - Logistic Evaluation of affected parameters of ‘dialysis patient’ analysis.
ITEMS DIALYSIS PATIENTS(80) CONTROL P-VALUE
AGE
30-39 0.62 (0.63-1.4) 0.75 (0.65-1.7) 0.0424
40-49 1.63 (0.77-1.85) 1.4 (0.82-1.7) 0.0421
50-60 1.43 (1.2-1.9) 1.232 (0.84-1.52) 0.0432
Stroke 1.86 (1.65-2.5) 2.24 (1.9-6.4) 0.0452
Diabetes 1.5 (1.24-1.6) 1.42 (1.2-2.2) 0.0422
Hypertension 5.32 (2.3-6.67) 1.22 (0.5-2.1) 0.0387
LDL 1.4(1.34-1.6) 1.3 (1.0-2.6) 0.0444
HDL 1.4 (0.63-1.5) 1.23 (0.76-1.43) 0.0478
TRIGLYCERIDE 1.423 (1.0-1.6) 1.35 (0.77-1.66) 0.045
S3 1.45 (1.4-1.65) 1.36 (1.1-2.5) 0.0422
BMI
< 25 1.43 (0.6-1.63) 1.4 (0.88-1.7) 0.0413
25-30 0.66 (0.64-1.2) 0.73 (0.65-1.5) 0.044
>30 0.645 (0.64-1.2) 0.73 (0.65-1.53) 0.0422
Alhelu et al./ Assessment Outcomes Dyslipidaemia in Dialysis Patient
Int. J. Med. Phar. Drug Re., 7(1), 2023
Online Available at: https://www.aipublications.com/ijmpd/ 23
IV. DISCUSSION
Changes in lipid metabolism are a consistent finding
in CKD, as dyslipidemia is an exacerbating factor in
CKD that increases the risk of atherosclerosis and its
complications [17]. Adequate control contributes to
reducing the high rates of cardiovascular disease and
mortality experienced by these patients [18]. As shown
in Table 1, where the collected data were presented for
both groups, which includes the Dialysis Patient group
and the control group, where the data included The
demographic results of dialysis patients, where the
ages presented were between 30-60, which showed 25
(31.25%) dialysis patients 17 (24.29%) ) for the control
group for ages between 30-39 years, while the ages
with the upper limit, which included the ages between
40-49 years, which contained 34 (42.5%) for the group
of dialysis patients33 (47.14%) while 0.0431 for the
group of control patients. However, the BMI results
showed a discrepancy in the evaluation of pathological
cases, where 17 (21.25%) were dialysis patients, while
14 (20%) were control patients, but in the case of >30, it
showed a sharp rise in dialysis
Patients were 34 (42.5%) were dialysis patients. and
31 (44.29%) for control patients with a 0.0485 P-
VALUE. Moreover, the demographic results showed
that the patients in Cirrhosis presented 27 (33.75%) for
dialysis patients and 22 (31.43%) for control patients
with P- VALUE 0.0485, as shown in Table 1. In chronic
kidney disease, early and aggressive intervention for
dyslipidemia appears to be a priority before a
significant decline in renal function occurs. Statin
therapy has been shown to be safe and effective in
lowering LDL-C and in reducing cardiovascular events
in individuals with chronic kidney disease or after
kidney transplantation; However, the evidence in
dialysis patients is lower, as shown in Table 2.
Outcomes of dyslipidemia in a dialysis patient were
found to be 5.12 ± 3.4 for dialysis patients and 2.1 ± 3.3
for control patients with a P-value of 0.0474, while
TOTAL CHOLESTEROL was found to be very high.
Where it appeared that the pathological incidence of
DESIRABLE was 2.75 ± 1.7 for patients of the first
group, which was represented by dialysis patients, but
1.2 ± 0.32 for control patients. Results were also
presented for non-desirable patients, as it was
4.9 ± 1.34 for the group of dialysis patients and 3.6 ±
0.47 for control patients. In addition, the results
presented for the evaluation of HDL in patients were
2.43 ± 2.4 for hemodialysis patients and 1.4 ± 1.5 for
control patients, as shown in Table 2. A general
evaluation of the distribution of patients based on
stages of CKD was conducted, as it showed in five
stages, the second stage was more severe and
susceptible, as it was found according to the
evaluation of the EGFR score 70 ± 10 and the
FREQUENCY OF PATIENTS GROUP at a rate of 21
(26.25%), and the least affecting stages were the fourth
and five stages Where it showed in the fourth stage 22
± 7.4 for the EGFR score and the FREQUENCY OF
PATIENTS GROUP 8 (10%) and the S5 for EGFR 9 ±
6.6 and the FREQUENCY OF PATIENTS GROUP 19
(23.75%) as shown in Table 3. Also presented in Table
4, the logistic analysis of the collected data, which was
evaluated based on the pathological conditions,
showed Stroke 1.86 (1.65-2.5) for the group of dialysis
patients and 2.24 (1.9-6.4) for the group of control
patients, while Diabetes was found to be 1.5 (1.24-1.6)
for patients Hemodialysis and 1.42 (1.2-2.2) for control
patients, as well as Hypertension showed a rise, as 5.32
(2.3-6.67) for the dialysis patients group and 1.22 (0.5-
2.1) for control patients, in addition to HDL 1.4 (0.63-
1.5) for dialysis patients and 1.23 (1.23). 0.76-1.43) for
control patients. American studies showed that
dyslipidemia is a factor in the development of chronic
kidney disease, which increases the risk of
atherosclerosis and its complications [19,20].
Appropriate control contributes to reducing the high
cardiovascular morbidity and mortality presented by
these patients were. This effect may be related to a
diffuse inflammatory pattern that persists, although
some triggering factors can be corrected [21]
V. CONCLUSION
Changes in lipid metabolism are common in
hemodialysis patients. The classic pattern of
dyslipidemia on dialysis is determined by elevated
serum triglycerides, low HDL cholesterol, and in most
cases, normal or slightly elevated total cholesterol and
low-density lipoprotein cholesterol. Although serum
cholesterol levels were not particularly high, the
atherogenic index improved in a quarter of the
patients due to lower levels of HDL cholesterol, and
thus the risk of atherosclerosis was high in these
individuals. Although total cholesterol levels are
stable, this group may have alterations, particularly in
low-density lipoprotein (LDL), that confer a greater
propensity for atherosclerosis. Therefore, this study
concludes that the control patients were less at risk
Alhelu et al./ Assessment Outcomes Dyslipidaemia in Dialysis Patient
Int. J. Med. Phar. Drug Re., 7(1), 2023
Online Available at: https://www.aipublications.com/ijmpd/ 24
and better in terms of complications than the group of
dialysis patients.
REFERENCES
[1] Parmar JA, Joshi AG, Chakrabarti M.
Dyslipidemia and chronic kidney disease. ISRJ.
2014;3:396–397. [Google Scholar]
[2] Charles RH, Terry AJ. Managing dyslipidemia in
chronic kidney disease. J Am Coll Cardiol. 2008;51:2375–
2384. [PubMed] [Google Scholar]
[3] Ahmed MH, Khalil AA. Ezetimibe is a potential
treatment for dyslipidemia associated with chronic renal
failure and renal transplant. Saudi J Kidney Dis
Transplant. 2010;21:1021– 1029. [PubMed] [Google
Scholar]
[4] Balode AA, Khan ZH. Serum lipid profile in chronic
kidney disease patients on hemodialysis. IJAR.
2013;3:20–22. [Google Scholar]
[5] Burmeister JE, Mosmann CB, Veridiana Borges Costa
VB, et al. Prevalence of cardiovascular risk factors in
hemodialysis patients – the CORDIAL study. Arq Bras
Cardiol. 2014;102:473–480. [PMC free article] [PubMed]
[Google Scholar]
[6] Kwan BCH, Kronenberg F, Beddhu S, Cheung AK.
Lipoprotein Metabolism and lipid management in
chronic kidney disease. J Am Soc Nephrol.
2007;18:1246– 1261. [PubMed] [Google Scholar]
[7] Chen S-C, Hung C-C, Kuo M-C, et al. Association of
dyslipidemia with renal outcomes in chronic kidney
disease. PLoS One. 2013;8:e55643. [PMC free article]
[PubMed] [Google Scholar]
[8] Wanner C, Ritz E. Reducing lipids for CV protection in
CKD patients—current evidence. Kidney Int. 2008;74:24–
28. [PubMed] [Google Scholar]
[9] Tsimihodimos V, Mitrogianni Z, Elisaf M. Dyslipidemia
associated with chronic kidney disease. Open
Cardiovasc Med J. 2011;5:41–48. [PMC free article]
[PubMed] [Google Scholar]
[10] Molitch ME. Management of dyslipidemias in patients
with diabetes and chronic kidney disease. Clin J Am Soc
Nephrol. 2006;1:1090–1099. [PubMed] [Google Scholar]
[11] Kimura H, Miyazaki R, Imura T, Masunaga S, Suzuki S,
Gejyo F, Yoshida H. Hepatic lipase mutation may
reduce vascular disease prevalence in hemodialysis
patients with high CETP levels. Kidney Int.
2003;64:1829–1837. [PubMed] [Google Scholar]
[12] Kronenberg F, Lingenhel A, Neyer U, et al. Prevalence of
dyslipidemic risk factors in hemodialysis and CAPD
patients. Kidney Int Suppl. 2003;84:113–116. [PubMed]
[Google Scholar]
[13] Iseki K, Yamazato M, Tozawa M, Takishita S.
Hypocholesterolemia is a significant predictor of death
in a cohort of chronic hemodialysis patients. Kidney Int.
2002;61:1887– 1893. [PubMed] [Google Scholar]
[14] Liu Y, Coresh J, Eustace JA, et al. Association between
cholesterol level and mortality in dialysis patients: role
of inflammation and malnutrition. JAMA. 2004;291:451–
459. [PubMed] [Google Scholar]
[15] Mikolašević I, Lukenda V, Sladoje-Martinović B, et al.
Metabolic complications after solid organ
transplantation. Medicina Fluminensis. 2014;50:61–66.
[Google Scholar]
[16] Kahwaji JM, Dudek RR. How can we manage
hyperlipidemia and avoid rhabdomyolysis in transplant
patients? Perm J. 2006;10:26–28. [PMC free article]
[PubMed] [Google Scholar]
[17] Mesquita J, Varela A, Medina JL. Dyslipidemia in renal
disease: causes, consequences, and treatment.
Endocrinol Nutr. 2010;57:440–448. [PubMed] [Google
Scholar]
[18] Thompson M, Ray U, Yu R. Kidney function as a
determinant of HDL and triglyceride concentrations in
the Australian population. J Clin Med. 2016;5:35.
[PMC free article] [PubMed] [Google Scholar]
[19] Omran J, Al-Dadah A, Dellsperger KC. Dyslipidemia in
patients with chronic and end-stage kidney disease.
Cardiorenal Med. 2013;3:165–177. [PMC free article]
[PubMed] [Google Scholar]
[20] Wanner C, Tonelli M, Kidney Disease: Improving Global
Outcomes Lipid Guideline Development Work Group
Members KDIGO clinical practice guideline for lipid
management in chronic kidney disease. Kidney Int
Suppl. 2013;3:259–305. [Google Scholar]
[21] Türk TR, Voropaeva E, Kohnle M, et al. Ezetimibe
treatment in hypercholesterolaemic kidney transplant
patients is safe and effective and reduces the decline of
renal allograft function: a pilot study. Nephrol Dial
Transplant. 2008;23:369–373. [PubMed] [Google Scholar]

Contenu connexe

Similaire à Assessment Outcomes Dyslipidaemia in Dialysis Patient

Anaemia in Chronic Renal Failure Patients Undergoing Haemodialysis: A across ...
Anaemia in Chronic Renal Failure Patients Undergoing Haemodialysis: A across ...Anaemia in Chronic Renal Failure Patients Undergoing Haemodialysis: A across ...
Anaemia in Chronic Renal Failure Patients Undergoing Haemodialysis: A across ...Neeleshkumar Maurya
 
Comparative Study of Hscrp in Chronic Kidney Disease
Comparative Study of Hscrp in Chronic Kidney DiseaseComparative Study of Hscrp in Chronic Kidney Disease
Comparative Study of Hscrp in Chronic Kidney Diseaseiosrphr_editor
 
SaudiJKidneyDisTranspl265924-5911237_162512
SaudiJKidneyDisTranspl265924-5911237_162512SaudiJKidneyDisTranspl265924-5911237_162512
SaudiJKidneyDisTranspl265924-5911237_162512kifayat ullah
 
Impact of Hemodialysis on lipid profile among chronic renal failure patients ...
Impact of Hemodialysis on lipid profile among chronic renal failure patients ...Impact of Hemodialysis on lipid profile among chronic renal failure patients ...
Impact of Hemodialysis on lipid profile among chronic renal failure patients ...Neeleshkumar Maurya
 
Study of Endothelial Dysfunction in Type 2 Diabetes Mellitus
Study of Endothelial Dysfunction in Type 2 Diabetes MellitusStudy of Endothelial Dysfunction in Type 2 Diabetes Mellitus
Study of Endothelial Dysfunction in Type 2 Diabetes Mellitusiosrjce
 
Study of Clinical Evaluation of Autonomic Dysfunction in Type 2 DM
Study of Clinical Evaluation of Autonomic Dysfunction in Type 2 DMStudy of Clinical Evaluation of Autonomic Dysfunction in Type 2 DM
Study of Clinical Evaluation of Autonomic Dysfunction in Type 2 DMiosrjce
 
cardiorenal syndrome and its characteristics and complications and causes.pptx
cardiorenal syndrome and its characteristics and complications and causes.pptxcardiorenal syndrome and its characteristics and complications and causes.pptx
cardiorenal syndrome and its characteristics and complications and causes.pptxArunDeva8
 
Fatty liver index correlates with non-alcoholic fatty liver disease, but not ...
Fatty liver index correlates with non-alcoholic fatty liver disease, but not ...Fatty liver index correlates with non-alcoholic fatty liver disease, but not ...
Fatty liver index correlates with non-alcoholic fatty liver disease, but not ...Enrique Moreno Gonzalez
 
Sample manuscript-original isi
Sample manuscript-original isiSample manuscript-original isi
Sample manuscript-original isianaana339
 
Disparity of Interstitial Glucose for Capillary Glucose in Dialysis Diabetic ...
Disparity of Interstitial Glucose for Capillary Glucose in Dialysis Diabetic ...Disparity of Interstitial Glucose for Capillary Glucose in Dialysis Diabetic ...
Disparity of Interstitial Glucose for Capillary Glucose in Dialysis Diabetic ...semualkaira
 
Running head MEDICAL CARE PLANNING FOR PATIENTS WITH CHRONIC KIDN.docx
Running head MEDICAL CARE PLANNING FOR PATIENTS WITH CHRONIC KIDN.docxRunning head MEDICAL CARE PLANNING FOR PATIENTS WITH CHRONIC KIDN.docx
Running head MEDICAL CARE PLANNING FOR PATIENTS WITH CHRONIC KIDN.docxjeanettehully
 
Diabetes,dysglycemia; and chronic kidney disease by prof alaa wafa
Diabetes,dysglycemia; and chronic kidney disease by prof alaa wafaDiabetes,dysglycemia; and chronic kidney disease by prof alaa wafa
Diabetes,dysglycemia; and chronic kidney disease by prof alaa wafaalaa wafa
 
Diabetes management in hemodialysis by prof alaa wafa
Diabetes management in hemodialysis by prof alaa wafaDiabetes management in hemodialysis by prof alaa wafa
Diabetes management in hemodialysis by prof alaa wafaalaa wafa
 
Glycated Hemoglobin and Triglycerides in type 2 diabetes mellitus
Glycated Hemoglobin and Triglycerides in type 2 diabetes mellitusGlycated Hemoglobin and Triglycerides in type 2 diabetes mellitus
Glycated Hemoglobin and Triglycerides in type 2 diabetes mellitusDeepak Chinagi
 
Study of Hyponatremia and its Outcome in Cirrhosis of Liver
Study of Hyponatremia and its Outcome in Cirrhosis of LiverStudy of Hyponatremia and its Outcome in Cirrhosis of Liver
Study of Hyponatremia and its Outcome in Cirrhosis of Liversemualkaira
 
Type 2 Diabetes Mellitus: The Concerned Complications and Target Organs
Type 2 Diabetes Mellitus: The Concerned Complications and Target OrgansType 2 Diabetes Mellitus: The Concerned Complications and Target Organs
Type 2 Diabetes Mellitus: The Concerned Complications and Target OrgansApollo Hospitals
 
Dr. Mohit Boora Thesis Protocolfinal.pdf
Dr. Mohit Boora Thesis Protocolfinal.pdfDr. Mohit Boora Thesis Protocolfinal.pdf
Dr. Mohit Boora Thesis Protocolfinal.pdfDrEshaanSinghSaini
 

Similaire à Assessment Outcomes Dyslipidaemia in Dialysis Patient (20)

Anaemia in Chronic Renal Failure Patients Undergoing Haemodialysis: A across ...
Anaemia in Chronic Renal Failure Patients Undergoing Haemodialysis: A across ...Anaemia in Chronic Renal Failure Patients Undergoing Haemodialysis: A across ...
Anaemia in Chronic Renal Failure Patients Undergoing Haemodialysis: A across ...
 
Comparative Study of Hscrp in Chronic Kidney Disease
Comparative Study of Hscrp in Chronic Kidney DiseaseComparative Study of Hscrp in Chronic Kidney Disease
Comparative Study of Hscrp in Chronic Kidney Disease
 
SaudiJKidneyDisTranspl265924-5911237_162512
SaudiJKidneyDisTranspl265924-5911237_162512SaudiJKidneyDisTranspl265924-5911237_162512
SaudiJKidneyDisTranspl265924-5911237_162512
 
Impact of Hemodialysis on lipid profile among chronic renal failure patients ...
Impact of Hemodialysis on lipid profile among chronic renal failure patients ...Impact of Hemodialysis on lipid profile among chronic renal failure patients ...
Impact of Hemodialysis on lipid profile among chronic renal failure patients ...
 
Study of Endothelial Dysfunction in Type 2 Diabetes Mellitus
Study of Endothelial Dysfunction in Type 2 Diabetes MellitusStudy of Endothelial Dysfunction in Type 2 Diabetes Mellitus
Study of Endothelial Dysfunction in Type 2 Diabetes Mellitus
 
Correlation study between total lipid profile and glycosylated hemoglobin amo...
Correlation study between total lipid profile and glycosylated hemoglobin amo...Correlation study between total lipid profile and glycosylated hemoglobin amo...
Correlation study between total lipid profile and glycosylated hemoglobin amo...
 
Study of Clinical Evaluation of Autonomic Dysfunction in Type 2 DM
Study of Clinical Evaluation of Autonomic Dysfunction in Type 2 DMStudy of Clinical Evaluation of Autonomic Dysfunction in Type 2 DM
Study of Clinical Evaluation of Autonomic Dysfunction in Type 2 DM
 
cardiorenal syndrome and its characteristics and complications and causes.pptx
cardiorenal syndrome and its characteristics and complications and causes.pptxcardiorenal syndrome and its characteristics and complications and causes.pptx
cardiorenal syndrome and its characteristics and complications and causes.pptx
 
Fatty liver index correlates with non-alcoholic fatty liver disease, but not ...
Fatty liver index correlates with non-alcoholic fatty liver disease, but not ...Fatty liver index correlates with non-alcoholic fatty liver disease, but not ...
Fatty liver index correlates with non-alcoholic fatty liver disease, but not ...
 
SXGYFL
SXGYFLSXGYFL
SXGYFL
 
Moghissi
MoghissiMoghissi
Moghissi
 
Sample manuscript-original isi
Sample manuscript-original isiSample manuscript-original isi
Sample manuscript-original isi
 
Disparity of Interstitial Glucose for Capillary Glucose in Dialysis Diabetic ...
Disparity of Interstitial Glucose for Capillary Glucose in Dialysis Diabetic ...Disparity of Interstitial Glucose for Capillary Glucose in Dialysis Diabetic ...
Disparity of Interstitial Glucose for Capillary Glucose in Dialysis Diabetic ...
 
Running head MEDICAL CARE PLANNING FOR PATIENTS WITH CHRONIC KIDN.docx
Running head MEDICAL CARE PLANNING FOR PATIENTS WITH CHRONIC KIDN.docxRunning head MEDICAL CARE PLANNING FOR PATIENTS WITH CHRONIC KIDN.docx
Running head MEDICAL CARE PLANNING FOR PATIENTS WITH CHRONIC KIDN.docx
 
Diabetes,dysglycemia; and chronic kidney disease by prof alaa wafa
Diabetes,dysglycemia; and chronic kidney disease by prof alaa wafaDiabetes,dysglycemia; and chronic kidney disease by prof alaa wafa
Diabetes,dysglycemia; and chronic kidney disease by prof alaa wafa
 
Diabetes management in hemodialysis by prof alaa wafa
Diabetes management in hemodialysis by prof alaa wafaDiabetes management in hemodialysis by prof alaa wafa
Diabetes management in hemodialysis by prof alaa wafa
 
Glycated Hemoglobin and Triglycerides in type 2 diabetes mellitus
Glycated Hemoglobin and Triglycerides in type 2 diabetes mellitusGlycated Hemoglobin and Triglycerides in type 2 diabetes mellitus
Glycated Hemoglobin and Triglycerides in type 2 diabetes mellitus
 
Study of Hyponatremia and its Outcome in Cirrhosis of Liver
Study of Hyponatremia and its Outcome in Cirrhosis of LiverStudy of Hyponatremia and its Outcome in Cirrhosis of Liver
Study of Hyponatremia and its Outcome in Cirrhosis of Liver
 
Type 2 Diabetes Mellitus: The Concerned Complications and Target Organs
Type 2 Diabetes Mellitus: The Concerned Complications and Target OrgansType 2 Diabetes Mellitus: The Concerned Complications and Target Organs
Type 2 Diabetes Mellitus: The Concerned Complications and Target Organs
 
Dr. Mohit Boora Thesis Protocolfinal.pdf
Dr. Mohit Boora Thesis Protocolfinal.pdfDr. Mohit Boora Thesis Protocolfinal.pdf
Dr. Mohit Boora Thesis Protocolfinal.pdf
 

Plus de AI Publications

The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...
The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...
The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...AI Publications
 
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition System
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition SystemEnhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition System
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition SystemAI Publications
 
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...AI Publications
 
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...AI Publications
 
Lung cancer: “Epidemiology and risk factors”
Lung cancer: “Epidemiology and risk factors”Lung cancer: “Epidemiology and risk factors”
Lung cancer: “Epidemiology and risk factors”AI Publications
 
Further analysis on Organic agriculture and organic farming in case of Thaila...
Further analysis on Organic agriculture and organic farming in case of Thaila...Further analysis on Organic agriculture and organic farming in case of Thaila...
Further analysis on Organic agriculture and organic farming in case of Thaila...AI Publications
 
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...AI Publications
 
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...AI Publications
 
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...AI Publications
 
Neuroprotective Herbal Plants - A Review
Neuroprotective Herbal Plants - A ReviewNeuroprotective Herbal Plants - A Review
Neuroprotective Herbal Plants - A ReviewAI Publications
 
A phytochemical and pharmacological review on canarium solomonense
A phytochemical and pharmacological review on canarium solomonenseA phytochemical and pharmacological review on canarium solomonense
A phytochemical and pharmacological review on canarium solomonenseAI Publications
 
Influences of Digital Marketing in the Buying Decisions of College Students i...
Influences of Digital Marketing in the Buying Decisions of College Students i...Influences of Digital Marketing in the Buying Decisions of College Students i...
Influences of Digital Marketing in the Buying Decisions of College Students i...AI Publications
 
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...AI Publications
 
Imaging of breast hamartomas
Imaging of breast hamartomasImaging of breast hamartomas
Imaging of breast hamartomasAI Publications
 
A retrospective study on ovarian cancer with a median follow-up of 36 months ...
A retrospective study on ovarian cancer with a median follow-up of 36 months ...A retrospective study on ovarian cancer with a median follow-up of 36 months ...
A retrospective study on ovarian cancer with a median follow-up of 36 months ...AI Publications
 
More analysis on environment protection and sustainable agriculture - A case ...
More analysis on environment protection and sustainable agriculture - A case ...More analysis on environment protection and sustainable agriculture - A case ...
More analysis on environment protection and sustainable agriculture - A case ...AI Publications
 
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...AI Publications
 
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...AI Publications
 
The Impacts of Viral Hepatitis on Liver Enzymes and Bilrubin
The Impacts of Viral Hepatitis on Liver Enzymes and BilrubinThe Impacts of Viral Hepatitis on Liver Enzymes and Bilrubin
The Impacts of Viral Hepatitis on Liver Enzymes and BilrubinAI Publications
 
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...AI Publications
 

Plus de AI Publications (20)

The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...
The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...
The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...
 
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition System
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition SystemEnhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition System
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition System
 
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...
 
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...
 
Lung cancer: “Epidemiology and risk factors”
Lung cancer: “Epidemiology and risk factors”Lung cancer: “Epidemiology and risk factors”
Lung cancer: “Epidemiology and risk factors”
 
Further analysis on Organic agriculture and organic farming in case of Thaila...
Further analysis on Organic agriculture and organic farming in case of Thaila...Further analysis on Organic agriculture and organic farming in case of Thaila...
Further analysis on Organic agriculture and organic farming in case of Thaila...
 
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...
 
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...
 
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...
 
Neuroprotective Herbal Plants - A Review
Neuroprotective Herbal Plants - A ReviewNeuroprotective Herbal Plants - A Review
Neuroprotective Herbal Plants - A Review
 
A phytochemical and pharmacological review on canarium solomonense
A phytochemical and pharmacological review on canarium solomonenseA phytochemical and pharmacological review on canarium solomonense
A phytochemical and pharmacological review on canarium solomonense
 
Influences of Digital Marketing in the Buying Decisions of College Students i...
Influences of Digital Marketing in the Buying Decisions of College Students i...Influences of Digital Marketing in the Buying Decisions of College Students i...
Influences of Digital Marketing in the Buying Decisions of College Students i...
 
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...
 
Imaging of breast hamartomas
Imaging of breast hamartomasImaging of breast hamartomas
Imaging of breast hamartomas
 
A retrospective study on ovarian cancer with a median follow-up of 36 months ...
A retrospective study on ovarian cancer with a median follow-up of 36 months ...A retrospective study on ovarian cancer with a median follow-up of 36 months ...
A retrospective study on ovarian cancer with a median follow-up of 36 months ...
 
More analysis on environment protection and sustainable agriculture - A case ...
More analysis on environment protection and sustainable agriculture - A case ...More analysis on environment protection and sustainable agriculture - A case ...
More analysis on environment protection and sustainable agriculture - A case ...
 
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...
 
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...
 
The Impacts of Viral Hepatitis on Liver Enzymes and Bilrubin
The Impacts of Viral Hepatitis on Liver Enzymes and BilrubinThe Impacts of Viral Hepatitis on Liver Enzymes and Bilrubin
The Impacts of Viral Hepatitis on Liver Enzymes and Bilrubin
 
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...
 

Dernier

Environment modelling and its environmental aspects
Environment modelling and its environmental aspectsEnvironment modelling and its environmental aspects
Environment modelling and its environmental aspectsMansi Rastogi
 
BACTERIAL SECRETION SYSTEM by Dr. Chayanika Das
BACTERIAL SECRETION SYSTEM by Dr. Chayanika DasBACTERIAL SECRETION SYSTEM by Dr. Chayanika Das
BACTERIAL SECRETION SYSTEM by Dr. Chayanika DasChayanika Das
 
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learning
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep LearningCombining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learning
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learningvschiavoni
 
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPRPirithiRaju
 
Timeless Cosmology: Towards a Geometric Origin of Cosmological Correlations
Timeless Cosmology: Towards a Geometric Origin of Cosmological CorrelationsTimeless Cosmology: Towards a Geometric Origin of Cosmological Correlations
Timeless Cosmology: Towards a Geometric Origin of Cosmological CorrelationsDanielBaumann11
 
lect1 introduction.pptx microbiology ppt
lect1 introduction.pptx microbiology pptlect1 introduction.pptx microbiology ppt
lect1 introduction.pptx microbiology pptzbyb6vmmsd
 
Science (Communication) and Wikipedia - Potentials and Pitfalls
Science (Communication) and Wikipedia - Potentials and PitfallsScience (Communication) and Wikipedia - Potentials and Pitfalls
Science (Communication) and Wikipedia - Potentials and PitfallsDobusch Leonhard
 
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...Chayanika Das
 
Oxo-Acids of Halogens and their Salts.pptx
Oxo-Acids of Halogens and their Salts.pptxOxo-Acids of Halogens and their Salts.pptx
Oxo-Acids of Halogens and their Salts.pptxfarhanvvdk
 
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...Sérgio Sacani
 
Pests of Sunflower_Binomics_Identification_Dr.UPR
Pests of Sunflower_Binomics_Identification_Dr.UPRPests of Sunflower_Binomics_Identification_Dr.UPR
Pests of Sunflower_Binomics_Identification_Dr.UPRPirithiRaju
 
Understanding Nutrition, 16th Edition pdf
Understanding Nutrition, 16th Edition pdfUnderstanding Nutrition, 16th Edition pdf
Understanding Nutrition, 16th Edition pdfHabibouKarbo
 
Food_safety_Management_pptx.pptx in microbiology
Food_safety_Management_pptx.pptx in microbiologyFood_safety_Management_pptx.pptx in microbiology
Food_safety_Management_pptx.pptx in microbiologyHemantThakare8
 
Environmental acoustics- noise criteria.pptx
Environmental acoustics- noise criteria.pptxEnvironmental acoustics- noise criteria.pptx
Environmental acoustics- noise criteria.pptxpriyankatabhane
 
Environmental Acoustics- Speech interference level, acoustics calibrator.pptx
Environmental Acoustics- Speech interference level, acoustics calibrator.pptxEnvironmental Acoustics- Speech interference level, acoustics calibrator.pptx
Environmental Acoustics- Speech interference level, acoustics calibrator.pptxpriyankatabhane
 
AICTE activity on Water Conservation spreading awareness
AICTE activity on Water Conservation spreading awarenessAICTE activity on Water Conservation spreading awareness
AICTE activity on Water Conservation spreading awareness1hk20is002
 
Interpreting SDSS extragalactic data in the era of JWST
Interpreting SDSS extragalactic data in the era of JWSTInterpreting SDSS extragalactic data in the era of JWST
Interpreting SDSS extragalactic data in the era of JWSTAlexander F. Mayer
 
DNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptxDNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptxGiDMOh
 

Dernier (20)

Environment modelling and its environmental aspects
Environment modelling and its environmental aspectsEnvironment modelling and its environmental aspects
Environment modelling and its environmental aspects
 
BACTERIAL SECRETION SYSTEM by Dr. Chayanika Das
BACTERIAL SECRETION SYSTEM by Dr. Chayanika DasBACTERIAL SECRETION SYSTEM by Dr. Chayanika Das
BACTERIAL SECRETION SYSTEM by Dr. Chayanika Das
 
Interferons.pptx.
Interferons.pptx.Interferons.pptx.
Interferons.pptx.
 
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learning
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep LearningCombining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learning
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learning
 
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
 
Timeless Cosmology: Towards a Geometric Origin of Cosmological Correlations
Timeless Cosmology: Towards a Geometric Origin of Cosmological CorrelationsTimeless Cosmology: Towards a Geometric Origin of Cosmological Correlations
Timeless Cosmology: Towards a Geometric Origin of Cosmological Correlations
 
lect1 introduction.pptx microbiology ppt
lect1 introduction.pptx microbiology pptlect1 introduction.pptx microbiology ppt
lect1 introduction.pptx microbiology ppt
 
Science (Communication) and Wikipedia - Potentials and Pitfalls
Science (Communication) and Wikipedia - Potentials and PitfallsScience (Communication) and Wikipedia - Potentials and Pitfalls
Science (Communication) and Wikipedia - Potentials and Pitfalls
 
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...
 
Oxo-Acids of Halogens and their Salts.pptx
Oxo-Acids of Halogens and their Salts.pptxOxo-Acids of Halogens and their Salts.pptx
Oxo-Acids of Halogens and their Salts.pptx
 
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
 
Pests of Sunflower_Binomics_Identification_Dr.UPR
Pests of Sunflower_Binomics_Identification_Dr.UPRPests of Sunflower_Binomics_Identification_Dr.UPR
Pests of Sunflower_Binomics_Identification_Dr.UPR
 
Understanding Nutrition, 16th Edition pdf
Understanding Nutrition, 16th Edition pdfUnderstanding Nutrition, 16th Edition pdf
Understanding Nutrition, 16th Edition pdf
 
Introduction Classification Of Alkaloids
Introduction Classification Of AlkaloidsIntroduction Classification Of Alkaloids
Introduction Classification Of Alkaloids
 
Food_safety_Management_pptx.pptx in microbiology
Food_safety_Management_pptx.pptx in microbiologyFood_safety_Management_pptx.pptx in microbiology
Food_safety_Management_pptx.pptx in microbiology
 
Environmental acoustics- noise criteria.pptx
Environmental acoustics- noise criteria.pptxEnvironmental acoustics- noise criteria.pptx
Environmental acoustics- noise criteria.pptx
 
Environmental Acoustics- Speech interference level, acoustics calibrator.pptx
Environmental Acoustics- Speech interference level, acoustics calibrator.pptxEnvironmental Acoustics- Speech interference level, acoustics calibrator.pptx
Environmental Acoustics- Speech interference level, acoustics calibrator.pptx
 
AICTE activity on Water Conservation spreading awareness
AICTE activity on Water Conservation spreading awarenessAICTE activity on Water Conservation spreading awareness
AICTE activity on Water Conservation spreading awareness
 
Interpreting SDSS extragalactic data in the era of JWST
Interpreting SDSS extragalactic data in the era of JWSTInterpreting SDSS extragalactic data in the era of JWST
Interpreting SDSS extragalactic data in the era of JWST
 
DNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptxDNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptx
 

Assessment Outcomes Dyslipidaemia in Dialysis Patient

  • 1. International Journal of Medical, Pharmacy and Drug Research (IJMPD) Article DOI: https://dx.doi.org/10.22161/ijmpd.7.1.3 Peer-Reviewed Journal Int. J. Med. Phar. Drug Re., 7(1), 2023 ISSN: 2456-8015 Int. J. Med. Phar. Drug Re., 7(1), 2023 Online Available at: https://www.aipublications.com/ijmpd/ 19 Assessment Outcomes Dyslipidaemia in Dialysis Patient Dr. Sabah Ali Jaber Alhelu*1, Dr. Thaer Jabbar AL-Zaidy2, Dr. Ayad Hameed Tailan3 1Ministry of Higher Education and Scientific Research, Jabir Ibn Hayyan Medical University, College of Medicine, Al-Najaf, Iraq. M.B.Ch.B. F.A.B.H.S. (Consultant Internist Diabetologist) 2M.B.Ch.B. C.A.B.M.S. M.D. (Medicine) Iraqi Ministry of Health, Thi-Qar Health Office, Al-Nasiryah Teaching Hospital, Thi-Qar 3M.B.Ch.B. C.A.B.M.S. (Nephro) & C.A.B.M.S. (Medicine) Iraqi Ministry of Health, Thi-Qar Health Office, Al-Nasiryah Teaching Hospital, Thi-Qar, Iraq *Corresponding Author Received: 17 Jan 2023; Received in revised form: 11 Feb 2023; Accepted: 20 Feb 2023; Available online: 28 Feb 2023 ©2023 The Author(s). Published by AI Publications. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/) Abstract Background: Chronic kidney disease is defined as the presence, for more than three months, of changes in the structure or function of the kidneys, secondary to a progressive decline in the number of nephrons, with a consequent deterioration in health resulting from the inability of the kidneys to perform their excretory functions, softener, and metabolism. Chronic kidney disease (CKD) is a clinical condition caused by the progressive and progressive loss of kidney function. Chronic kidney disease is not only implicated by the gradual deterioration of quality of life and life expectancy when it progresses to more advanced stages but also by the increase in cardiovascular morbidity and mortality, which is the leading cause of death in these patients. Aim: This paper aims to assess the outcomes of dyslipidemia in a dialysis patient. Patients and method: In this study, a descriptive cross- sectional study was applied to study the Assessment Outcomes of Dyslipidemia in Dialysis Patients in Iraq from 4th January 2021 to 7th August 2022. Data were collected for 150 patients in different hospitals in Iraq, where the patients were divided into two groups, the first group of patients, which included DIALYSIS PATIENTS, which included 80, and the second group, the control group, which included patients, which include 70 patients. Results and discussions: collected 150 cases distributed according to dialysis patients (80) and controls (70); the most frequent ages in this study ranged from 40-49 years old 34 (42.5%) patients group, 33 (47.14%) control group with a statistical difference of 0.0831. In this study was evaluated the Outcomes of dyslipidemia in a dialysis patient. Imbalances were found in levels of dyslipidemia which LDL 5.12±3.4 of the patients' group, as for the control group 2.1±3.3-HDL 2.43±2.4 of the patients' group, 1.4±1.5 for the control group, TRIGLYCERIDE 1.75±1.8 of patients group, 0.55±0.43 for the control group with A statistically significant relationship were found between dyslipidemia levels and outcomes in the group of patients at P value < 0.05. Keywords— HDL, LDL, CKD, Cirrhosis and Diabetes I. INTRODUCTION Chronic kidney disease is defined as the presence, for more than three months, of changes in the structure or function of the kidneys, secondary to a progressive decline in the number of nephrons, with a consequent deterioration in health resulting from the inability of the kidneys to perform their excretory functions, softener, and metabolism [1]. Chronic kidney disease (CKD) is a clinical condition caused by the progressive
  • 2. Alhelu et al./ Assessment Outcomes Dyslipidaemia in Dialysis Patient Int. J. Med. Phar. Drug Re., 7(1), 2023 Online Available at: https://www.aipublications.com/ijmpd/ 20 and progressive loss of kidney function. Chronic kidney disease is not only implicated by the gradual deterioration of quality of life and life expectancy when it progresses to more advanced stages but also by the increase in cardiovascular morbidity and mortality, which is the leading cause of death in these patients [2]. The death rate for end-stage CKD is 30 times higher than that of the general population and may be up to 1,000 times higher when it affects lower- risk populations, such as children and adolescents, where its prevalence is increasing due to the higher life expectancy of the general population. [3,4]. Moreover, the prevalence of chronic kidney disease in Spain, according to the data of the EPIRCE study, is close to 10% when jointly assessing eGFR and albuminuria, with 21.4% of subjects over 64 years of age reporting only an eGFR < 60 mL/min / 1.73 sq. m. Age is the risk factor that has been associated primarily with CKD, with loss of function marked onset from the third decade of life, with significant loss of renal function from 60 years of age [5]. Based on German studies, CKD is an independent risk factor for cardiovascular disease, even in children and adolescents whose exposure to other cardiovascular risk factors is lower than in adults [6]. As a result, atherosclerosis in patients with chronic kidney disease, both pre-existing and new, presents an accelerated progression, increasing the incidence of premature cardiovascular events (in men <55 years or women <65 years). This effect may be related to a diffuse inflammatory pattern that persists, although some triggering factors can be corrected, such as renal artery revascularization in cases of renal artery stenosis [7,8]. For all these reasons, chronic kidney disease should be considered as a high and even very high cardiovascular risk condition, which requires early diagnosis and treatment and treatment of potentially modifiable risk factors identified during the disease [9]. Based on studies in the US, it is estimated that 6% of the US population is in stages 1 and 2, while 4.5% is focused on stages 3 and 4 of the same. 1 In Venezuela for 2008, the figures for deaths from this disease were dealt with for 1923, which accounted for 1.44% of all deaths. As for the Spanish study, it indicates that abnormalities of lipid metabolism similar to those implicated in atherosclerosis (increased triglycerides, total cholesterol, LDL, lipoprotein B, and decreased non-HDL cholesterol) may also contribute to the development of kidney injury, in particular, if associated with proteinuria or high blood pressure [11]. Plasma triglycerides begin to rise in the early stages of CKD and are the result of elevated production of lipoproteins rich in triglycerides, increased synthesis of VLDL, and decreased rate of partial catabolism due to decreased activity of endothelial lipase (lipoprotein lipase (LPL) and liver lipase). As a result, CKD patients had reduced plasma HDL-cholesterol concentrations compared to non- uremic individuals. Due to the lower apo A1 level and lower LCAT activity, the reduced capacity of HDL cholesterol particles may impair the reverse transport of cholesterol from peripheral cells to the liver, thus burdening the vascular system and promoting atherosclerosis [12]. To follow up, the decrease in lipoprotein lipase (LPL) activity and the consequent decrease in VLDL catabolism play an important role, leading to increased triglycerides and lower HDL cholesterol. On the other hand, coexisting hypoalbuminemia, by increasing levels of free lecithin, can reduce lecithin- cholesterol acyltransferase (LCAT) activity [13]. Cerebrovascular disease (CVD) begins and Progresses during renal disease, years before developing renal failure. On initiation of dialysis treatment, 18% of patients had an acute myocardial infarction (AMI), 22% had angina, 37% had episodes of congestive heart failure, and approximately 80% had left ventricular low ejection fraction (LVEF) <40% or left ventricular hypertrophy or both [14]. Therefore, they constitute the number one cause of mortality in chronic kidney disease, and atherogenic lipoproteins play an essential role in its development. Patients deficient in this enzyme develop renal fatty deposits, and progressive renal failure as chronic hyperlipidemia (CKD) is associated with the thickening of the carotid intima and media [15]. In the early stages, there are also prebiotic changes: nocturnal hypertension, insulin resistance, increased serum lipoprotein, C-reactive protein, fibrinogen, and parathyroid hormone changes that contribute to cardiovascular (CV) damage. This paper aims to assess the outcomes of dyslipidemia in a dialysis patient. [16] II. MATERIAL AND METHOD In this study, a descriptive cross-sectional study was applied to study the Assessment Outcomes of
  • 3. Alhelu et al./ Assessment Outcomes Dyslipidaemia in Dialysis Patient Int. J. Med. Phar. Drug Re., 7(1), 2023 Online Available at: https://www.aipublications.com/ijmpd/ 21 Dyslipidemia in Dialysis Patients in Iraq from 4th January 2021 to 7th August 2022. Data were collected for 150 patients from different hospitals in Iraq, where the patients were divided into two groups, the first group of patients, which included DIALYSIS PATIENTS for 80 cases, and the second group, which was the control group which include 70 patients. A statistical study was conducted for patients with osteoporosis using the SPSS program, and This study presented the demographic results of dialysis patients, which included age between 30- 60 years and BMI between <25, 25-30, >30, as well as CHRONIC DISEASES, which included Stroke, Diabetes, Hypertension, and Cirrhosis, including economic level and social status classification, which was divided into single and married, where these collected data were presented and shown in Table 1. As shown in Table 2, where the study of this research paper relied on the Outcomes of dyslipidemia in a dialysis patient to present the data presented, which included LDL, HDL, TRIGLYCERIDE as well as DESIRABLE, NON- DESIRABLE, which were applied to both groups, one of which is the DIALYSIS PATIENTS group and the other group CONTROLS as is evident in Table 2. Table 3 it showed a comprehensive evaluation of CKD patients Distribution of patients based on stages of CKD, which was divided into five stages, which included S1, S2, S3, S4, and S5, which depended on the degree of eGFR, which was distributed to the FREQUENCY OF PATIENTS GROUP for CKD As shown in Table 3. In addition, the collected data were evaluated statistically and analyzed logistically, which included age, stroke, diabetes, hypertension, LDL, HDL, TRIGLYCERIDE, S3, and BMI, which were distributed to both groups, hemodialysis patients and control patients, as shown in Table 4. III. RESULTS Table 1- The demographic results of dialysis patients. ITEMS DIALYSIS PATIENTS(80) CONTROLS(70) P-VALUE AGE 30-39 25 (31.25%) 17 (24.29%) 0.044 40-49 34 (42.5%) 33 (47.14%) 0.0831 50-60 21 (26.25%) 20 (28.57%) 0.0475 BMI < 25 17 (21.25%) 14 (20%) 0.0491 25-30 29 (36.25%) 25 (35.71%) 0.0493 >30 34 (42.5%) 31 (44.29%) 0.0485 CHRONIC DISEASES Stroke 22 (27.5%) 16 (22.86%) 0.0433 Diabetes 17 (21.25%) 14 (20%) 0.0492 Hypertension 14 (17.5%) 18 (25.71%) 0.03853 Cirrhosis 27 (33.75%) 22 (31.43%) 0.0485 ECONOMIC LEVEL LOW 35 (43.75%) 17 (24.29%) 0.0266 MIDDLE 25 (31.25%) 33 (47.14%) 0.0315 HIGH 21 (26.25%) 20 (28.57%) 0.0487 MARITAL STATUS SINGLE 22 (27.5%) 18 (25.71%) 0.0481 MARRIED 58 (72.5%) 52 (74.29%) 0.0482
  • 4. Alhelu et al./ Assessment Outcomes Dyslipidaemia in Dialysis Patient Int. J. Med. Phar. Drug Re., 7(1), 2023 Online Available at: https://www.aipublications.com/ijmpd/ 22 Table 2- Outcomes of dyslipidemia in a dialysis patient. ITEMS DIALYSIS PATIENTS(80) CONTROLS (70) P-VALUE LDL 5.12±3.4 2.1±3.3 0.0474 HDL 2.43±2.4 1.4±1.5 0.0483 TRIGLYCERIDE 1.75±1.8 0.55±0.43 0.049 TOTAL CHOLESTEROL DESIRABLE 2.75±1.7 1.2±0.32 0.0486 NON- DESIRABLE 4.9±1.34 3.6±0.47 0.0452 Table 3- Distribution of patients based on stages of CKD. STAGES EGFR F (%) S1 17±3.2 15 (18.75%) S2 70±10 21 (26.25%) S3 45±12 17 (21.25%) S4 22±7.4 8 (10%) S5 9±6.6 19 (23.75%) Table 4 - Logistic Evaluation of affected parameters of ‘dialysis patient’ analysis. ITEMS DIALYSIS PATIENTS(80) CONTROL P-VALUE AGE 30-39 0.62 (0.63-1.4) 0.75 (0.65-1.7) 0.0424 40-49 1.63 (0.77-1.85) 1.4 (0.82-1.7) 0.0421 50-60 1.43 (1.2-1.9) 1.232 (0.84-1.52) 0.0432 Stroke 1.86 (1.65-2.5) 2.24 (1.9-6.4) 0.0452 Diabetes 1.5 (1.24-1.6) 1.42 (1.2-2.2) 0.0422 Hypertension 5.32 (2.3-6.67) 1.22 (0.5-2.1) 0.0387 LDL 1.4(1.34-1.6) 1.3 (1.0-2.6) 0.0444 HDL 1.4 (0.63-1.5) 1.23 (0.76-1.43) 0.0478 TRIGLYCERIDE 1.423 (1.0-1.6) 1.35 (0.77-1.66) 0.045 S3 1.45 (1.4-1.65) 1.36 (1.1-2.5) 0.0422 BMI < 25 1.43 (0.6-1.63) 1.4 (0.88-1.7) 0.0413 25-30 0.66 (0.64-1.2) 0.73 (0.65-1.5) 0.044 >30 0.645 (0.64-1.2) 0.73 (0.65-1.53) 0.0422
  • 5. Alhelu et al./ Assessment Outcomes Dyslipidaemia in Dialysis Patient Int. J. Med. Phar. Drug Re., 7(1), 2023 Online Available at: https://www.aipublications.com/ijmpd/ 23 IV. DISCUSSION Changes in lipid metabolism are a consistent finding in CKD, as dyslipidemia is an exacerbating factor in CKD that increases the risk of atherosclerosis and its complications [17]. Adequate control contributes to reducing the high rates of cardiovascular disease and mortality experienced by these patients [18]. As shown in Table 1, where the collected data were presented for both groups, which includes the Dialysis Patient group and the control group, where the data included The demographic results of dialysis patients, where the ages presented were between 30-60, which showed 25 (31.25%) dialysis patients 17 (24.29%) ) for the control group for ages between 30-39 years, while the ages with the upper limit, which included the ages between 40-49 years, which contained 34 (42.5%) for the group of dialysis patients33 (47.14%) while 0.0431 for the group of control patients. However, the BMI results showed a discrepancy in the evaluation of pathological cases, where 17 (21.25%) were dialysis patients, while 14 (20%) were control patients, but in the case of >30, it showed a sharp rise in dialysis Patients were 34 (42.5%) were dialysis patients. and 31 (44.29%) for control patients with a 0.0485 P- VALUE. Moreover, the demographic results showed that the patients in Cirrhosis presented 27 (33.75%) for dialysis patients and 22 (31.43%) for control patients with P- VALUE 0.0485, as shown in Table 1. In chronic kidney disease, early and aggressive intervention for dyslipidemia appears to be a priority before a significant decline in renal function occurs. Statin therapy has been shown to be safe and effective in lowering LDL-C and in reducing cardiovascular events in individuals with chronic kidney disease or after kidney transplantation; However, the evidence in dialysis patients is lower, as shown in Table 2. Outcomes of dyslipidemia in a dialysis patient were found to be 5.12 ± 3.4 for dialysis patients and 2.1 ± 3.3 for control patients with a P-value of 0.0474, while TOTAL CHOLESTEROL was found to be very high. Where it appeared that the pathological incidence of DESIRABLE was 2.75 ± 1.7 for patients of the first group, which was represented by dialysis patients, but 1.2 ± 0.32 for control patients. Results were also presented for non-desirable patients, as it was 4.9 ± 1.34 for the group of dialysis patients and 3.6 ± 0.47 for control patients. In addition, the results presented for the evaluation of HDL in patients were 2.43 ± 2.4 for hemodialysis patients and 1.4 ± 1.5 for control patients, as shown in Table 2. A general evaluation of the distribution of patients based on stages of CKD was conducted, as it showed in five stages, the second stage was more severe and susceptible, as it was found according to the evaluation of the EGFR score 70 ± 10 and the FREQUENCY OF PATIENTS GROUP at a rate of 21 (26.25%), and the least affecting stages were the fourth and five stages Where it showed in the fourth stage 22 ± 7.4 for the EGFR score and the FREQUENCY OF PATIENTS GROUP 8 (10%) and the S5 for EGFR 9 ± 6.6 and the FREQUENCY OF PATIENTS GROUP 19 (23.75%) as shown in Table 3. Also presented in Table 4, the logistic analysis of the collected data, which was evaluated based on the pathological conditions, showed Stroke 1.86 (1.65-2.5) for the group of dialysis patients and 2.24 (1.9-6.4) for the group of control patients, while Diabetes was found to be 1.5 (1.24-1.6) for patients Hemodialysis and 1.42 (1.2-2.2) for control patients, as well as Hypertension showed a rise, as 5.32 (2.3-6.67) for the dialysis patients group and 1.22 (0.5- 2.1) for control patients, in addition to HDL 1.4 (0.63- 1.5) for dialysis patients and 1.23 (1.23). 0.76-1.43) for control patients. American studies showed that dyslipidemia is a factor in the development of chronic kidney disease, which increases the risk of atherosclerosis and its complications [19,20]. Appropriate control contributes to reducing the high cardiovascular morbidity and mortality presented by these patients were. This effect may be related to a diffuse inflammatory pattern that persists, although some triggering factors can be corrected [21] V. CONCLUSION Changes in lipid metabolism are common in hemodialysis patients. The classic pattern of dyslipidemia on dialysis is determined by elevated serum triglycerides, low HDL cholesterol, and in most cases, normal or slightly elevated total cholesterol and low-density lipoprotein cholesterol. Although serum cholesterol levels were not particularly high, the atherogenic index improved in a quarter of the patients due to lower levels of HDL cholesterol, and thus the risk of atherosclerosis was high in these individuals. Although total cholesterol levels are stable, this group may have alterations, particularly in low-density lipoprotein (LDL), that confer a greater propensity for atherosclerosis. Therefore, this study concludes that the control patients were less at risk
  • 6. Alhelu et al./ Assessment Outcomes Dyslipidaemia in Dialysis Patient Int. J. Med. Phar. Drug Re., 7(1), 2023 Online Available at: https://www.aipublications.com/ijmpd/ 24 and better in terms of complications than the group of dialysis patients. REFERENCES [1] Parmar JA, Joshi AG, Chakrabarti M. Dyslipidemia and chronic kidney disease. ISRJ. 2014;3:396–397. [Google Scholar] [2] Charles RH, Terry AJ. Managing dyslipidemia in chronic kidney disease. J Am Coll Cardiol. 2008;51:2375– 2384. [PubMed] [Google Scholar] [3] Ahmed MH, Khalil AA. Ezetimibe is a potential treatment for dyslipidemia associated with chronic renal failure and renal transplant. Saudi J Kidney Dis Transplant. 2010;21:1021– 1029. [PubMed] [Google Scholar] [4] Balode AA, Khan ZH. Serum lipid profile in chronic kidney disease patients on hemodialysis. IJAR. 2013;3:20–22. [Google Scholar] [5] Burmeister JE, Mosmann CB, Veridiana Borges Costa VB, et al. Prevalence of cardiovascular risk factors in hemodialysis patients – the CORDIAL study. Arq Bras Cardiol. 2014;102:473–480. [PMC free article] [PubMed] [Google Scholar] [6] Kwan BCH, Kronenberg F, Beddhu S, Cheung AK. Lipoprotein Metabolism and lipid management in chronic kidney disease. J Am Soc Nephrol. 2007;18:1246– 1261. [PubMed] [Google Scholar] [7] Chen S-C, Hung C-C, Kuo M-C, et al. Association of dyslipidemia with renal outcomes in chronic kidney disease. PLoS One. 2013;8:e55643. [PMC free article] [PubMed] [Google Scholar] [8] Wanner C, Ritz E. Reducing lipids for CV protection in CKD patients—current evidence. Kidney Int. 2008;74:24– 28. [PubMed] [Google Scholar] [9] Tsimihodimos V, Mitrogianni Z, Elisaf M. Dyslipidemia associated with chronic kidney disease. Open Cardiovasc Med J. 2011;5:41–48. [PMC free article] [PubMed] [Google Scholar] [10] Molitch ME. Management of dyslipidemias in patients with diabetes and chronic kidney disease. Clin J Am Soc Nephrol. 2006;1:1090–1099. [PubMed] [Google Scholar] [11] Kimura H, Miyazaki R, Imura T, Masunaga S, Suzuki S, Gejyo F, Yoshida H. Hepatic lipase mutation may reduce vascular disease prevalence in hemodialysis patients with high CETP levels. Kidney Int. 2003;64:1829–1837. [PubMed] [Google Scholar] [12] Kronenberg F, Lingenhel A, Neyer U, et al. Prevalence of dyslipidemic risk factors in hemodialysis and CAPD patients. Kidney Int Suppl. 2003;84:113–116. [PubMed] [Google Scholar] [13] Iseki K, Yamazato M, Tozawa M, Takishita S. Hypocholesterolemia is a significant predictor of death in a cohort of chronic hemodialysis patients. Kidney Int. 2002;61:1887– 1893. [PubMed] [Google Scholar] [14] Liu Y, Coresh J, Eustace JA, et al. Association between cholesterol level and mortality in dialysis patients: role of inflammation and malnutrition. JAMA. 2004;291:451– 459. [PubMed] [Google Scholar] [15] Mikolašević I, Lukenda V, Sladoje-Martinović B, et al. Metabolic complications after solid organ transplantation. Medicina Fluminensis. 2014;50:61–66. [Google Scholar] [16] Kahwaji JM, Dudek RR. How can we manage hyperlipidemia and avoid rhabdomyolysis in transplant patients? Perm J. 2006;10:26–28. [PMC free article] [PubMed] [Google Scholar] [17] Mesquita J, Varela A, Medina JL. Dyslipidemia in renal disease: causes, consequences, and treatment. Endocrinol Nutr. 2010;57:440–448. [PubMed] [Google Scholar] [18] Thompson M, Ray U, Yu R. Kidney function as a determinant of HDL and triglyceride concentrations in the Australian population. J Clin Med. 2016;5:35. [PMC free article] [PubMed] [Google Scholar] [19] Omran J, Al-Dadah A, Dellsperger KC. Dyslipidemia in patients with chronic and end-stage kidney disease. Cardiorenal Med. 2013;3:165–177. [PMC free article] [PubMed] [Google Scholar] [20] Wanner C, Tonelli M, Kidney Disease: Improving Global Outcomes Lipid Guideline Development Work Group Members KDIGO clinical practice guideline for lipid management in chronic kidney disease. Kidney Int Suppl. 2013;3:259–305. [Google Scholar] [21] Türk TR, Voropaeva E, Kohnle M, et al. Ezetimibe treatment in hypercholesterolaemic kidney transplant patients is safe and effective and reduces the decline of renal allograft function: a pilot study. Nephrol Dial Transplant. 2008;23:369–373. [PubMed] [Google Scholar]