血小板体积指数作为2型糖尿病患者糖尿病并发症的预测生物标志物。
Platelet volume indices as predictive biomarkers for diabetic complications in Type 2 diabetic patients.
作者信息
Buch Archana, Kaur Supreet, Nair Rahul, Jain Ambuj
机构信息
Department of Pathology, Dr. D. Y. Patil Medical College Hospital and Research Centre, Pimpri, Pune, Maharashtra, India.
出版信息
J Lab Physicians. 2017 Apr-Jun;9(2):84-88. doi: 10.4103/0974-2727.199625.
BACKGROUND
Platelet volume indices (PVI) such as mean platelet volume (MPV), platelet distribution width (PDW), and platelet-large cell ratio (P-LCR) are the indicators of increased platelet activity and can be considered as potential biomarkers for diabetic complications.
PURPOSE
To study PVI in Type 2 diabetics with and without complications in comparison to nondiabetic patients.
MATERIALS AND METHODS
A case-control study was conducted on 300 Type 2 diabetics and 200 nondiabetics. Detailed clinical history regarding duration, hypertension, and complications was taken. PVI was obtained using automated cell counter. Fasting blood glucose, hemoglobin A1c, lipid profile, creatinine were also obtained. Diabetics were further categorized into patients with complications and without complications. Statistical analysis was performed by Statistical Package for the Social Sciences Version 17 (Chicago, IL) Student's -test and ANOVA test.
RESULTS
Platelet count was significantly decreased in diabetics (P = 0.005). MPV was significantly increased in diabetic patients with complications as compared to diabetics without complications and nondiabetic group (P < 0.0001). PDW showed statistically significant difference between diabetics with and without complications and nondiabetics (P < 0.0001). However, no statistically significant difference was observed in platelet-large cell ratio (P-LCR) among all the three study groups. We found statistically significant correlation of MPV with diabetic retinopathy (P = 0.000), nephropathy (P = 0.005), and diabetic foot (P = 0.048). PDW was significantly increased in diabetic retinopathy (P = 0.035) and nephropathy (P = 0.007). P-LCR had no statistically significant correlation with diabetic complications.
CONCLUSION
MPV and PDW are predictive biomarkers of diabetic vascular complications. They are more significant in microvascular complications than macrovascular complications.
背景
血小板体积指标（PVI），如平均血小板体积（MPV）、血小板分布宽度（PDW）和血小板大细胞比率（P-LCR），是血小板活性增加的指标，可被视为糖尿病并发症的潜在生物标志物。
目的
研究2型糖尿病伴并发症和不伴并发症患者与非糖尿病患者的血小板体积指标。
材料与方法
对300例2型糖尿病患者和200例非糖尿病患者进行了病例对照研究。记录了关于病程、高血压和并发症的详细临床病史。使用自动血细胞计数器获取血小板体积指标。还获取了空腹血糖、糖化血红蛋白、血脂谱、肌酐。糖尿病患者进一步分为有并发症和无并发症患者。采用社会科学统计软件包第17版（伊利诺伊州芝加哥）进行统计学分析，采用学生t检验和方差分析。
结果
糖尿病患者的血小板计数显著降低（P = 0.005）。与无并发症的糖尿病患者和非糖尿病组相比，有并发症的糖尿病患者的平均血小板体积显著增加（P < 0.0001）。血小板分布宽度在有并发症和无并发症的糖尿病患者与非糖尿病患者之间存在统计学显著差异（P < 0.0001）。然而，在所有三个研究组中，血小板大细胞比率（P-LCR）未观察到统计学显著差异。我们发现平均血小板体积与糖尿病视网膜病变（P = 0.000）、肾病（P = 0.005）和糖尿病足（P = 0.048）之间存在统计学显著相关性。糖尿病视网膜病变（P = 0.035）和肾病（P = 0.007）患者的血小板分布宽度显著增加。血小板大细胞比率与糖尿病并发症无统计学显著相关性。
结论
平均血小板体积和血小板分布宽度是糖尿病血管并发症的预测生物标志物。它们在微血管并发症中比大血管并发症更显著。
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