Abstract：
Stroke is the cause of one in eight deaths and adds a dreadful burden of disability for the patients. Ischemic stroke is caused by a loss of blood supply to brain due to sudden occlusion of the arterial system, caused by an emboli or thrombus. Our aim was to correlate platelet indices, total cholesterol ratio, and various comorbidities with stroke.
A cross-sectional study was performed from 2020-2022 with 132 stroke patients admitted to the SRM Medical College Hospital and Research Center, India. Detailed clinical examination was performed. Venous blood samples were drawn at the time of admission to estimate platelet count, mean platelet volume (MPV), platelet distribution width (PDW), and platelet crit (PCT). Overnight fasting serum samples were obtained for lipid profiling.
Among the participants in our study, maximum belonged to the age group 50 to 59 years (34.1%) and majority were males (79.5%). In terms of comorbidities, 85.6% of the participants had diabetes, 42.4% had hypertension and 22% had dyslipaedemia. All platelet and lipid parameters were found to be similar between patients with and without comorbidities. While all platelet indices increased with the increase in severity of stroke, we found that PDW is most reliable in predicting stroke with an area under the receiver operator curve of 0.942, with a sensitivity and specificity of 92.1% at cut-off value 14. All platelet parameters also significantly increased in patients with severe lipid dysfuction, establishing a correlation between lipid profile, platelet indices and stroke.
We found a significant relationship between all platelet parameters and stroke. Thus, we believe that patients with risk factors for atherosclerosis should have their platelet indices assessed periodically before the development of cerebrovascular events. Furthermore, dyslipidemia if properly treated, is a modifiable risk factor for stroke, which can decrease morbidity and mortality leading to a healthier society.
A cross-sectional study was performed from 2020-2022 with 132 stroke patients admitted to the SRM Medical College Hospital and Research Center, India. Detailed clinical examination was performed. Venous blood samples were drawn at the time of admission to estimate platelet count, mean platelet volume (MPV), platelet distribution width (PDW), and platelet crit (PCT). Overnight fasting serum samples were obtained for lipid profiling.
Among the participants in our study, maximum belonged to the age group 50 to 59 years (34.1%) and majority were males (79.5%). In terms of comorbidities, 85.6% of the participants had diabetes, 42.4% had hypertension and 22% had dyslipaedemia. All platelet and lipid parameters were found to be similar between patients with and without comorbidities. While all platelet indices increased with the increase in severity of stroke, we found that PDW is most reliable in predicting stroke with an area under the receiver operator curve of 0.942, with a sensitivity and specificity of 92.1% at cut-off value 14. All platelet parameters also significantly increased in patients with severe lipid dysfuction, establishing a correlation between lipid profile, platelet indices and stroke.
We found a significant relationship between all platelet parameters and stroke. Thus, we believe that patients with risk factors for atherosclerosis should have their platelet indices assessed periodically before the development of cerebrovascular events. Furthermore, dyslipidemia if properly treated, is a modifiable risk factor for stroke, which can decrease morbidity and mortality leading to a healthier society.
摘要：
目的：中风是八分之一死亡的原因，并增加了患者的残疾负担。缺血性中风是由于动脉系统突然闭塞导致大脑供血不足引起的，由栓子或血栓引起的。我们的目的是联系血小板指数,总胆固醇比率,和中风的各种合并症。
方法：从2020-2022年对SRM医学院医院和研究中心收治的132名中风患者进行了横断面研究，印度。进行了详细的临床检查。在入院时抽取静脉血样本以估计血小板计数，平均血小板体积（MPV），血小板分布宽度（PDW），和血小板暴动(PCT)。获得过夜空腹血清样品用于脂质分析。
结果：在我们研究的参与者中，最多属于50至59岁年龄组（34.1％），大多数为男性（79.5％）。在合并症方面，85.6％的参与者患有糖尿病，42.4%有高血压，22%有血脂异常。发现有和没有合并症的患者之间的所有血小板和脂质参数相似。虽然所有血小板指数都随着中风严重程度的增加而增加，我们发现PDW在预测卒中方面最可靠,受试者操作曲线下面积为0.942,在临界值14时的敏感性和特异性为92.1%.严重血脂功能紊乱患者的血小板参数也显著升高，建立脂质分布之间的相关性，血小板指数和中风。
结论：我们发现所有血小板参数与卒中之间存在显著关系。因此，我们认为，有动脉粥样硬化危险因素的患者应在脑血管事件发生前定期评估其血小板指数。此外，血脂异常如果治疗得当,是中风的一个可改变的危险因素，这可以降低发病率和死亡率，从而建立一个更健康的社会。
方法：从2020-2022年对SRM医学院医院和研究中心收治的132名中风患者进行了横断面研究，印度。进行了详细的临床检查。在入院时抽取静脉血样本以估计血小板计数，平均血小板体积（MPV），血小板分布宽度（PDW），和血小板暴动(PCT)。获得过夜空腹血清样品用于脂质分析。
结果：在我们研究的参与者中，最多属于50至59岁年龄组（34.1％），大多数为男性（79.5％）。在合并症方面，85.6％的参与者患有糖尿病，42.4%有高血压，22%有血脂异常。发现有和没有合并症的患者之间的所有血小板和脂质参数相似。虽然所有血小板指数都随着中风严重程度的增加而增加，我们发现PDW在预测卒中方面最可靠,受试者操作曲线下面积为0.942,在临界值14时的敏感性和特异性为92.1%.严重血脂功能紊乱患者的血小板参数也显著升高，建立脂质分布之间的相关性，血小板指数和中风。
结论：我们发现所有血小板参数与卒中之间存在显著关系。因此，我们认为，有动脉粥样硬化危险因素的患者应在脑血管事件发生前定期评估其血小板指数。此外，血脂异常如果治疗得当,是中风的一个可改变的危险因素，这可以降低发病率和死亡率，从而建立一个更健康的社会。
