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Comparison of Two Assays in Platelet Aggregometry: Whole Blood Impedance Platelet Aggregometry and Turbidimetric Platelet Aggregometry

Author: ZhangHongBo
Tutor: XieRuiQin;CuiZuo
School: Hebei Medical University
Course: Internal Medicine
Keywords: Platelet aggregation rate Electrical impedance method Turbidimetry High cholesterol
CLC: R446.1
Type: Master's thesis
Year: 2009
Downloads: 188
Quote: 1
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Abstract


Objective: Platelet aggregation is one of the important factors that affect the body's process of hemostasis and thrombosis, thrombotic diseases, evaluation of platelet aggregation, thrombus formation, prevention, and treatment monitoring is of great significance. Platelet aggregation rate is an important indicator of to reflect platelet aggregation function. More method is able to detect the rate of platelet aggregation, the most commonly used clinical turbidimetry (Turbidimetric platelet aggregometry, TPA). TPA detection platelet aggregation rate is the most commonly used method in clinical and scientific research in recent decades, in the past has been considered the gold standard. This method is by centrifugal preparation of platelet-rich plasma (platelet-rich plasma, PRP) and platelet-poor plasma (platelet-Poor Plasma, PPP), according to the difference between the PRP and PPP, using optical principles to platelet aggregation rate. But there are also many deficiencies, so application of platelet-rich plasma method must centrifugal preparation, the centrifugal process will lead to changes in platelet number and activity, thus affecting the measurement results; and this method may be affected by certain factors such as blood lipids the impact. Electrical impedance (impedance platelet aggregometry, IPA) is a newer method to detect platelet aggregation rate, using the electrical principle, the use of whole blood for testing, it overcomes the TPA certain defects, has certain advantages in the clinical testing . TPA and IPA are two ways to detect the rate of platelet aggregation and consistency is not yet clear. The research will focus on the different groups of people, two detection methods are compared and analyzed. Methods: 180 patients from December 2007 to October 2008, the Second Hospital of Hebei Medical University, Department of Cardiology hospital, including 150 cases of coronary heart disease and high blood pressure patients, 92 cases were males, 58 females, mean age (60.54 ± 9.61) years old. Suffering from liver and kidney dysfunction, cancer, multiple organ failure, cerebrovascular disease were excluded. Divided into two groups: high cholesterol group (cholesterol CHOL gt; blood lipids level of 5.72 mmol / L and / or triglycerides TG gt; 1.72 mmol / L and / or low-density lipoprotein LDL-C gt; 3.64mmol / L ) 60 cases, 35 cases were male, 25 female, mean age (60.62 ± 8.85) years old; normal blood lipid group (CHOL ≤ 5.72mmol / L and TG ≤ 1.72 mmol / L and LDL-C ≤ 3.64mmol / L) 90 cases, including 57 cases of males, 33 females, mean age (60.50 ± 10.13) years of age. Replacement of paroxysmal supraventricular tachycardia (paroxysmal supraventricular tachycardia, PSVT) pre radiofrequency ablation surgery in 30 patients as a control group. This control group crowd exclude suffering from PSVT other than any other disease, and not applied any drugs that affect platelet function in 2 weeks, no room within two weeks on the speed attack, normal blood lipid levels. 16 male and 14 females, average age (45.33 ± 14.19) years. All patients were fasting venous blood, the decimated blood samples were injected anticoagulant tube is divided into 2 parts by sodium citrate anticoagulation sent to our hospital condensate hemolytic laboratory and cardiovascular medicine laboratory within 1 hour, respectively. TPA and IPA are two ways to detect the rate of platelet aggregation. Inducing agent chosen by the two methods are ADP (adenosine diphosphate) 10μmol / l. Statistical analysis: All data were analyzed by SPSS13.0 software for statistical analysis. Measurement data were expressed as mean ± standard deviation (x ± s), of two variables using the chi-square test than the distribution of the test of the difference, the two variables to take single factor linear correlation analysis. TPA and IPA consistency analysis using MedCalc9.0 statistical software (Kappa consistency test). P lt; 0.05 was considered statistically significant difference. Results: (1) rate of platelet aggregation groups test results: TPA method results of the control group (52.90 ± 10.36)%, IPA method (11.20 ± 3.27) Ω; TPA method for high cholesterol group (50.13 ± 12.85)% IPA Act (7.75 ± 4.40) Ω; TPA method for normal blood group (51.40 ± 12.98)% IPA method (8.00 ± 3.73) Ω; of all subjects (overall group) TPA method (51.55 ± 12.55)% IPA Act (8.02 ± 4.07) Ω. The ⑵ each group of TPA and IPA detection result of comparison of the two methods: ① TPA and IPA two methods detection result constituting ratio: based on the detection results of the two methods each divided four percentile range (0-25%, 25% -50%, 50 % -75% and 75% -100%): the percentile range of the test results of the two methods of control group constituted ratio distribution no significant difference (χ2 = 0.079, P gt; 0.05); but normal blood lipid group (χ2 = 23.93 P lt; 0.05), high cholesterol group (χ2 = 38.40, P lt; 0.05) and overall (χ 2 = 76.54, P lt; 0.05), the test results of the two methods constitute percentile interval is significantly different than the distribution . ② TPA and IPA correlation of test results of the two methods: control group linear correlation analysis between the two methods results there is a positive correlation (P lt; 0.05), relevance (r = 0.50), non-highly linear related (r lt; 0.70 ); presence of normal blood group linear correlation analysis methods positive correlation (P lt; 0.05), and compared to the control group, the lower the degree of correlation (r = 0.48), the same as non-highly linear; hyperlipidemia group related lower degree (r = 0.39, P lt; 0.05), low linear (r lt; 0.40); overall group linear correlation analysis between the two methods, although there are also positively correlated with sex (P lt; 0.05), but the degree of correlation lower (r = 0.45), and also non-highly linear. ③ Two methods test results consistency analysis: Kappa consistency test: control group, normal blood group and the overall group, the two methods consistent relationship, but consistency are weaker (K, respectively 0.26,0.13,0.08, are the less than 0.40, P lt; 0.05); the hyperlipidemia group of Kappa test showed that the two methods are not consistent relationship (K = 0.02, P gt; 0.05). Conclusions: TPA and IPA are two ways to detect platelet aggregation rate results relevance is not high, the lack of highly linear correlation is also weak, and the consistency of the relationship. Especially for patients with hyperlipidemia two methods and consistency is even worse, does not suggest that the two methods in clinical alternative uses.

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CLC: > Medicine, health > Clinical > Diagnostics > Laboratory diagnosis > Biochemical testing, clinical testing
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