دورية أكاديمية
أعرض في EDS

Non-high density lipoprotein cholesterol versus low density lipoprotein cholesterol as a discriminating factor for myocardial infarction.

التفاصيل البيبلوغرافية
العنوان: Non-high density lipoprotein cholesterol versus low density lipoprotein cholesterol as a discriminating factor for myocardial infarction.
المؤلفون: Sigdel M; Department of Biochemistry, Manipal College of Medical Sciences, Pokhara, Nepal. manoj.sigdel@hotmail.com, Yadav BK, Gyawali P, Regmi P, Baral S, Regmi SR, Jha B
المصدر: BMC research notes [BMC Res Notes] 2012 Nov 17; Vol. 5, pp. 640. Date of Electronic Publication: 2012 Nov 17.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Biomed Central Country of Publication: England NLM ID: 101462768 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-0500 (Electronic) Linking ISSN: 17560500 NLM ISO Abbreviation: BMC Res Notes Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : Biomed Central, 2008.
مواضيع طبية MeSH: Cholesterol/*blood , Cholesterol, HDL/*blood , Cholesterol, LDL/*blood , Myocardial Infarction/*blood , Myocardial Infarction/*diagnosis, Adult ; Aged ; Aged, 80 and over ; Case-Control Studies ; Cross-Sectional Studies ; Fasting/blood ; Female ; Humans ; Male ; Middle Aged ; ROC Curve ; Reference Values ; Risk Factors ; Triglycerides/blood
مستخلص: Background: Serum total cholesterol (TC) and LDL cholesterol (LDL-C) have been used as major laboratory measures in clinical practice to assess cardiovascular risk in the general population and disease management as well as prognosis in patients. However, some studies have also reported the use of non-HDL cholesterol (non-HDL-C). As non-HDL-C can be calculated by subtracting HDL-C from TC, both of which do not require fasting blood sample in contrast to LDL-C which requires fasting blood sample, we aimed to compare non-HDL-C with LDL-C as a predictor of myocardial infarction (MI).
Methods: This hospital based cross sectional study was undertaken among 51 cases of MI and equal number of controls. MI was diagnosed based on the clinical history, ECG changes and biochemical parameters. 5 mL of fasting blood sample was collected from each research participant for the analysis of lipid profile. Non-HDL-C was calculated by using the equation; Non-HDL-C = TC - HDL-C. Statistical analysis was performed using SPSS 14.0.
Results: 42 MI cases were dyslipidemic in contrast to 20 dyslipidemic subjects under control group. The differences in the median values of each lipid parameter were statistically significant between MI cases and controls. The lipid risk factors most strongly associated with MI were HDL-C (OR 5.85, 95% CI 2.41-14.23, P value = 0.000) followed by non-HDL-C (OR 3.77, 95% CI 1.64-8.66, P value = 0.002), LDL-C/HDL-C (OR 3.38, 95% CI 1.44-7.89, P value = 0.005), TC/HDL-C (OR 2.93, 95% CI 1.36-7.56, P value = 0.026), LDL-C (OR 2.70, 95% CI 1.20-6.10, P value = 0.017), TC (OR 2.68, 95% CI 1.04-6.97, P value = 0.042) and Tg (OR 2.54, 95% CI 1.01-6.39, P value = 0.047). Area under the receiver operating curve was greater for non-HDL-C than for LDL-C. Non-HDL-C was also found to be more sensitive and specific than LDL-C for MI.
Conclusions: HDL-C and non-HDL-C are better discriminating parameters than LDL-C for MI. Thus, we can simply perform test for HDL-C and non-HDL-C both of which do not require fasting blood sample rather than waiting for fasting blood sample to measure LDL-C.
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المشرفين على المادة: 0 (Cholesterol, HDL)
0 (Cholesterol, LDL)
0 (Triglycerides)
97C5T2UQ7J (Cholesterol)
تواريخ الأحداث: Date Created: 20121120 Date Completed: 20130523 Latest Revision: 20211021
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC3520710
DOI: 10.1186/1756-0500-5-640
PMID: 23158803
قاعدة البيانات: MEDLINE
الوصف
تدمد:1756-0500
DOI:10.1186/1756-0500-5-640