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Journal of Drug Delivery and Therapeutics
Open Access to Pharmaceutical and Medical Research
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Open Access Full Text Article Research Article
Evaluation of Platelet Indices, PT and PTT in Sudanese Chronic Renal Failure Patients at Khartoum state, 2022
Mohamed Hassan Osman Ebar1*, Hisham Rabei Mohammed Alfaki Mustafa1, Mohamed Osman Mohamed Isse2 Albara Abdulfatah Mohammed1,3
1 Faculty of Medical Laboratory Science, National University, Sudan
2 Alzaiem Alazhari University, Sudan
3 Alfajri College, Sudan
|
Article Info: _____________________________________________ Article History: Received 11 Sep 2022 Reviewed 18 Oct 2022 Accepted 29 Oct 2022 Published 15 Nov 2022 _____________________________________________ Cite this article as: Ebar MHO, Mustafa HRMA, Isse MOM, Mohammed AA, Evaluation of Platelet Indices, PT and PTT in Sudanese Chronic Renal Failure Patients at Khartoum state, 2022, Journal of Drug Delivery and Therapeutics. 2022; 12(6):52-55 DOI: http://dx.doi.org/10.22270/jddt.v12i6.5800 _____________________________________________ *Address for Correspondence: Mohamed Hassan Osman Ebar, Faculty of Medical Laboratory Science, National University, Sudan |
Abstract ___________________________________________________________________________________________________________________ Background: Chronic renal failure is a global public health problem; Kidney transplantation and dialysis are possible solutions of kidney failure. The aim of our study was to assess the platelet count, platelet indices, prothrombin time (PT) and partial thromboplastin time (PTT) in Sudanese chronic renal failure patients at Khartoum sate, 2022. Materials and Method: This was analytical case control study conducted at Khartoum state. A total of 200 blood samples were collected (100 samples from chronic renal failure patients and 100 healthy individuals from control group). A total of five ml of whole blood was collected from each participant and divided into EDTA anticoagulated tube for platelet count and platelet indices, and into sodium citrate anticoagulated tube. for PT and PTT measurement. Examination of platelet count and platelet indices was done by using Haematology analyser (Sysmex-XP-300), where PT and APTT measurement was done by using coagulation analyser (Coatron-M-1). Results: The study revealed that in the case group; the mean age was (48.19± 15.53), 42.1% of them were female and 57.1% were male, where in the control group; the mean age was (45.54 ± 16.82), 57.9% were female and 42.9% were male. Regarding to the haematological results; the mean platelet count and PCT of the case group was significantly decreased when compared with the control group with P-value of 0.000. where the mean average of MPV, PDW and PLCR showed no statistically significant differences between cases and control with P-value of > 0.05. According to the PT and PTT; they were increased in the case group when compared with the control group with P-value of 0.000. Conclusion: The study concluded that platelet count and plateletcrit was decreased, where mean platelet volume and platelet distribution width in addition to PLCR, showed no statstically significant difference. PT and PTT were increased in chronic renal failure patients. Keywords: Platelet count, Platelet indices, PT, PTT, chronic renal failure, haemodialysis, bleeding |
Renal failure is a condition in which the kidneys fail to remove metabolic end-products from the blood and regulate the fluid, electrolyte, and pH balance of the extracellular fluids. Renal failure can occur as an acute or a chronic disorder. [16] Renal failure is a global public health problem; Kidney transplantation and dialysis are possible solutions of kidney failure. The proportion of kidney failure is increasing world widely..1.
The most common type of dialysis is haemodialysis which uses a machine filter called a dialyzer or artificial kidney to remove excess water and salt, to balance the other electrolytes in the body, and to remove waste products of metabolism. Blood is removed from the body and flows through tubing into the machine, where it passes next to a filter membrane. A specialized chemical solution (dialysate) flows on the other side of the membrane. The dialysate is formulated to draw impurities from the blood through the filter membrane. Blood and dialysate never touch in the artificial kidney machine. 2.
The incidence of renal failure has been estimated to be 209 patients per million population per year, with 36% of patients requiring renal replacement therapy 3.
In Sudan, according to ministry of health records, the prevalence of renal failure is increasing through the few past years; approximately 70 to 140 new patients pmp undergo dialysis each year. This high frequency is thought to be due to epidemic malarial infection, which is well known to cause glomerulonephritis. 4
There are many risk factors that can lead to renal failure, like poorly controlled diabetes, poorly controlled high blood pressure, chronic glomerulonephritis, polycystic kidney disease, reflux nephropathy (damage caused by urine backflow from the bladder into the ureters and kidney), Nephrotic syndrome, Alport's disease, Kidney stones, and Prostate diseas 5
Many researchers have shown that the dialysis can impact the platelet count, platelet indices, PT and PTT which can lead to a bleeding to these patients.
Regarding to the less of data available in Sudanese chronic renal failure patients about the impact of chronic renal failure on haematological parameters, we aimed this study to evaluate the platelet count, platelet indices, PT and PTT in Sudanese chronic renal failure patients at Khartoum state.
MATERIALS AND METHODS
This study was analytical case control hospital-based study at Sudan Renal Transplantation Association Centre, Khartoum state, Sudan, during the period from May 2022 to August 2022. Patients attending at Sudan Renal Transplantation Association Centre and diagnosed with chronic renal failure during the aforementioned period were included. In addition to healthy participants were selected as control group. A total of five ml of whole blood was collected from each participant and divided into EDTA anticoagulated containers for platelet count and platelet indices, and into sodium citrate anticoagulated containers for PT and PTT measurement. Examination of platelet count and platelet indices was done by using Haematology analyser (Sysmex-XP-300), where PT and APTT measurement was done by using coagulation analyser (Semi-automated M1 coatron). The data was gathered using pre-designed structural questionnaire and the SPSS 23.0 statistical software (SPSS Inc., USA) was used for statistical analysis. Finally, the study was licensed by the ethical committee ethical committee of national university.
RESULTS
Socio- demographic data
A total of 200 samples were collected from the study population, 100 blood samples were chronic renal failure patients and selected as case group, where 100 of them were healthy participants and selected as control group. In the case group; the mean age was (48.19 ± 15.53), 42.1%were female and 57.1% of them were male, where in the control group; the mean age was (45.54 ± 16.82), 57.9% of them were female and 42.9% were male. In the distribution of the family history of chronic renal failure in the case group; 22.0% had family history of chronic renal failure, where 78.0% of them had no family history of chronic renal failure. The mean duration of dialysis in the case group was 32.61 ± 24.54. Regarding to the distribution of chronic diseases in the case group; 42% of patients had hypertension, 5% of them had diabetes, 12% of them had both hypertension and diabetes, and 42% of them had other chronic diseases (Tables 1, 2,3,4,5).
Table 1: Comparison of study population according to the age
|
|
Chronic renal failure |
N |
Mean |
Std. Deviation |
Std. Error Mean |
P-value |
|
Age |
yes |
100 |
48.19 |
15.53 |
1.55 |
0.249 |
|
No |
100 |
45.54 |
16.82 |
1.68 |
|
Table 2: Distribution of gender in the study population
|
|
|
|
Renal failure on dialysis |
|
|
|
|
|
Yes |
No |
|
Gender |
Male |
Count |
60 |
45 |
|
% Within Gender |
57.1% |
42.9% |
||
|
female |
Count |
40 |
55 |
|
|
% Within Gender |
42.1% |
57.9% |
||
|
Total |
Count |
100 |
100 |
|
|
% Within Gender |
50.0% |
50.0% |
||
Table 3: Distribution of family history of chronic renal failure
|
Family history |
Frequency |
Percent |
|
Yes |
22 |
22.0 |
|
No |
78 |
68.0 |
|
Total |
100 |
100 |
|
|
N |
Minimum |
Maximum |
Mean |
Std. Deviation |
|
Age |
200 |
15.00 |
85.00 |
46.8650 |
16.20462 |
|
Duration of dialysis |
100 |
6.00 |
144.00 |
32.6100 |
24.54635 |
|
Valid N (listwise) |
100 |
|
|
|
|
Table 4: Age and duration of dialysis descriptive statistics
Table 5: Distribution of chronic diseases in the cases
|
|
Other disease |
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
hypertension |
42 |
21.0 |
42.0 |
42.0 |
|
Diabetes |
5 |
2.5 |
5.0 |
47.0 |
|
|
hypertension + diabetes |
12 |
6.0 |
12.0 |
59.0 |
|
|
other chronic diseases |
41 |
20.5 |
41.0 |
100.0 |
|
|
Total |
100 |
50.0 |
100.0 |
|
|
|
Missing |
System |
100 |
50.0 |
|
|
|
Total |
200 |
100.0 |
|
|
|
Haematological data finding
When compared some haematological parameters between cases and control group, the results revealed: the mean platelet count of the case group where decreased when compared with the control group (0.000). In platelet indices; mean platelet volume (MPV) and platelet distribution width (PDW) in addition to PLCR, showed no statistically significant differences between cases and control with P-value of > 0.05, where plateletcrit (PCT) was decreased in case group when compared with control group (P-value=0.000). regarding to the PT and PTT; they were increased in the case group when compared with the control group with P-value of 0.000. (Table 6).
Table 6: Comparison of study population according to the haematological parameters.
|
|
Renal failure on dialysis |
N |
Mean |
Std. Deviation |
Std. Error Mean |
P-value |
|
platelet count |
Yes |
100 |
228.17 |
70.47946 |
7.04795 |
0.000
|
|
No |
100 |
281.05 |
53.71462 |
5.37146 |
||
|
PDW |
Yes |
100 |
12.0060 |
2.04301 |
.20430 |
0.324 |
|
No |
100 |
12.2640 |
1.62633 |
.16263 |
||
|
MPV |
Yes |
100 |
9.7720 |
1.02839 |
.10284 |
0.490
|
|
No |
100 |
9.8640 |
.84238 |
.08424 |
||
|
P-LCR |
Yes |
100 |
23.4640 |
7.60351 |
.76035 |
0.480 |
|
No |
100 |
24.1887 |
6.89909 |
.68991 |
||
|
PCT |
Yes |
100 |
0.2354 |
0.08894 |
0.00889 |
0.003 |
|
No |
100 |
0.2666 |
0.05465 |
0.00546 |
||
|
PT |
Yes |
100 |
16.8570 |
2.00601 |
0.20060 |
0.000 |
|
No |
100 |
15.0720 |
1.48902 |
0.14890 |
||
|
PTT |
Yes |
100 |
36.2950 |
5.23538 |
0.52354 |
0.000 |
|
No |
100 |
33.0560 |
3.38602 |
0.33860 |
DISCUSSION
Renal failure is a condition in which the kidneys fail to remove metabolic end-products from the blood and regulate the fluid, electrolyte, and pH balance of the extracellular fluids. Chronic renal failure is a global public health problem; Kidney transplantation and dialysis are possible solutions of kidney failure. The present study was analytical case control hospital-based study conducted at Sudan Renal Transplantation Association Centre, for the evaluation of platelet count, platelet indices, prothrombin time (PT) and partial thromboplastin time (PTT) in Sudanese chronic renal failure patients, at Khartoum state, Sudan, 2022.
The results of our study were revealed that; In the case group; the mean age was (48.19 ± 15.53), 42.1% of them were female and 57.1% were male, where in the control group; the mean age was (45.54 ± 16.82), 57.9% of them were female and 42.9% were male, which shows that male patients were predominant in our study. These findings agree with a study done by Dr. Maria Aashitha, which stated that male patients were predominant and age group between 41 to 60 were commonly affected.7
In the distribution of the family history of chronic renal failure in the case group; 22.0% had family history of chronic renal failure, where 78.0% of them had no family history of chronic renal failure. The mean duration of dialysis in the case group was 32.61 ± 24.54. Regarding to the distribution of chronic diseases in the case group; 42% of patients had hypertension, 5% of them had diabetes, 12% of them had both hypertension and diabetes, and 42% of them had other chronic diseases. These findings agree with a study done by Magid M. Yassin, et al which stated that hypertension and diabetes were the most common self-reported disorders among the haemodialysis patients and also stated that haemodialysis duration was 3.2±2.9 year at frequency of 2.6±0.6/week. 8
In platelet count, our results revealed that; the mean platelet count of the case group where decreased when compared with the control group (0.000). which was similar with a study done by Gafter U., et al which stated that platelet count in chronic renal failure were reduced. 9 also our results agree with a study done by Anwar Habib, et al which found that platelets counts are significantly reduced in the patients of chronic renal failure and the process of haemodialysis further decreases the level of platelet count. 10
Regarding to the findings of platelet indices in our study revealed that; mean platelet volume (MPV) and platelet distribution width (PDW) in addition to PLCR, showed no statistically significant differences between cases and control with P-value of > 0.05, where plateletcrit (PCT) was decreased in case group when compared with control group (P-value=0.000). which agree with a study done by Dr. Maria Aashitha, et al which found that, there were no statistically significant differences in PLT indices (mean platelet volume, platelet distribution width), in contrast with platelet count and plateletcrit which they found also that there were no statistically significant differences. 7
The PT and PTT findings of our study revealed that; they were increased in case group when compared with the control group (P-value=0.000). Similar results have been found by John, et al, which reported that PT and PTT were prolonged among case group when compared with the control group 11
CONCLUSION
The study concluded that platelet count and plateletcrit was decreased, where mean platelet volume and platelet distribution width in addition to PLCR, showed no statistically significant difference. PT and PTT were increased in chronic renal failure patients.
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