Prognostic Value of Admission Mean Corpuscular Volume for Major Adverse Cardiovascular Events following Stent Implantation in Nondiabetic and Diabetic Patients with Acute Coronary Syndrome
المؤلفون المشاركون
Zhang, Lisha
Zhou, Juan
Liu, Junhui
Li, Ruifeng
Bai, Xiaofang
Cheng, Lele
Li, Wenyuan
Li, Bolin
Wu, Yue
Yuan, Zuyi
Wang, Lijun
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-18
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Background.
One of the key concerns of the clinician is to identify and manage risk factors for major adverse cardiovascular events (MACEs) in nondiabetic and diabetic patients with acute coronary syndrome (ACS) undergoing stent implantation.
Mean corpuscular volume (MCV) is a marker of erythrocyte size and activity and is associated with prognosis of cardiovascular disease.
However, the role of admission MCV in predicting MACEs following stent implantation in diabetes mellitus (DM), non-DM, or whole patients with ACS remains largely unknown.
Methods and Results.
A total of 437 ACS patients undergoing stent implantation, including 294 non-DM (59.08±10.24 years) and 143 DM (63.02±9.92 years), were analyzed.
Admission MCV was higher in non-DM than DM patients.
During a median of 31.93 months follow-up, Kaplan-Meier curve demonstrated that higher admission MCV level was significantly associated with increased MACEs in whole and non-DM, but not in DM patients.
In Cox regression analysis, the highest MCV tertile was associated with higher MACEs in whole ([HR] 1.870, 95% CI 1.113-3.144, P=0.018), especially those non-DM ([HR] 2.089, 95% CI 1.077-4.501, P=0.029) patients after adjustment of several cardiovascular risk factors.
MCV did not predict MACEs in DM patients.
During landmark analysis, admission MCV showed better predictive value for MACEs in the first 32 months of follow-up than in the subsequent period.
Finally, the receiver operating characteristic (ROC) curve was conducted to confirmed the value of admission MCV within 32 months.
Conclusion.
In patients with ACS, elevated admission MCV is an important and independent predictor for MACEs following stent implantation, especially amongst those without DM even after adjusting for lifestyle and clinical risk factors.
However, as the follow-up period increased, the admission MCV lost its ability to predict MACEs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cheng, Lele& Zhang, Lisha& Liu, Junhui& Li, Wenyuan& Bai, Xiaofang& Li, Ruifeng…[et al.]. 2020. Prognostic Value of Admission Mean Corpuscular Volume for Major Adverse Cardiovascular Events following Stent Implantation in Nondiabetic and Diabetic Patients with Acute Coronary Syndrome. Disease Markers،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1153979
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cheng, Lele…[et al.]. Prognostic Value of Admission Mean Corpuscular Volume for Major Adverse Cardiovascular Events following Stent Implantation in Nondiabetic and Diabetic Patients with Acute Coronary Syndrome. Disease Markers No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1153979
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cheng, Lele& Zhang, Lisha& Liu, Junhui& Li, Wenyuan& Bai, Xiaofang& Li, Ruifeng…[et al.]. Prognostic Value of Admission Mean Corpuscular Volume for Major Adverse Cardiovascular Events following Stent Implantation in Nondiabetic and Diabetic Patients with Acute Coronary Syndrome. Disease Markers. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1153979
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1153979
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر