Limitations of a Cardiac Risk (QRISK2) Calculator in Patients with High Density Lipoprotein (HDL)

2016 ◽  
Vol 23 (1) ◽  
pp. 47-50 ◽  
Author(s):  
Jatinder S. Minhas ◽  
Prashanth Patel ◽  
Pankaj K. Gupta
Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Rafeal L Baker ◽  
Jean N Utumatwishima ◽  
Stephanie T Chung ◽  
Anne E Sumner

Introduction: For Africans living in the United States, the extent to which stress-induced physiologic dysfunction varies by reason for immigration is unknown. Allostatic load score (ALS) is used to assess physiologic stress. ALS has biomarkers in 3 domains: cardiovascular, metabolic and immune. However, there are many ALS equations and the number of biomarkers in each domain varies. In the cardiac domain of ALS, equations use either triglyceride (TG) or high density lipoprotein (HDL). A specific problem for African descent populations is that HDL may be superior to TG as a marker of insulin resistance and cardiac risk. Objective: Our primary goal in 95 African immigrants (71% male, age 42±10, (mean±SD), range 22-62y) was to determine if ALS varied by reason for immigration. Our secondary goal was to evaluate 4 different ALS equations to determine if there was a difference in ALS performance depending on whether HDL or TG was the included biomarker. Methods and Results: For all 4 equations, the reasons for immigration from lowest to highest ALS were: family reunification, lottery for self and immediate family, marriage, asylum, work and study (Figure 1). As the first 3 reasons for immigration promoted family unity, they were grouped together (Group 1). The Africans who came for other reasons were grouped together (Group 2). Equations 1 and 2 included HDL as a biomarker. For these equations, ALS in Group 1 vs. Group 2 were: 1.7±1.3 vs. 2.8±1.7, P <0.01 and 1.4±1.2 vs. 2.3±1.7, P <0.01 resp. Equations 3 and 4 used TG. For these two equations ALS in Group 1 vs. Group 2 were: 2.2±1.6 vs. 2.9±2.0, P =0.08 and 2.1±1.4 vs. 2.9±2.0, P =0.03 resp. In Equations 1 and 2, when HDL was replaced by TG, the significant difference in ALS between groups declined. In Equations 3 and 4, when TG was replaced by HDL, the significant difference in ALS between groups increased. Conclusions: ALS varies by reason for immigration and is easier to detect in ALS equations which use HDL rather than TG.


VASA ◽  
2014 ◽  
Vol 43 (3) ◽  
pp. 189-197 ◽  
Author(s):  
Yiqiang Zhan ◽  
Jinming Yu ◽  
Rongjing Ding ◽  
Yihong Sun ◽  
Dayi Hu

Background: The associations of triglyceride (TG) to high-density lipoprotein cholesterol ratio (HDL‑C) and total cholesterol (TC) to HDL‑C ratio and low ankle brachial index (ABI) were seldom investigated. Patients and methods: A population based cross-sectional survey was conducted and 2982 participants 60 years and over were recruited. TG, TC, HDL‑C, and low-density lipoprotein cholesterol (LDL-C) were assessed in all participants. Low ABI was defined as ABI ≤ 0.9 in either leg. Multiple logistic regression models were applied to study the association between TG/HDL‑C ratio, TC/HDL‑C ratio and low ABI. Results: The TG/HDL‑C ratios for those with ABI > 0.9 and ABI ≤ 0.9 were 1.28 ± 1.20 and 1.48 ± 1.13 (P < 0.0001), while the TC/HDL‑C ratios were 3.96 ± 1.09 and 4.32 ± 1.15 (P < 0.0001), respectively. After adjusting for age, gender, body mass index, obesity, current drinking, physical activity, hypertension, diabetes, lipid-lowering drugs, and cardiovascular disease history, the odds ratios (ORs) with 95 % confidence intervals (CIs) of low ABI for TG/HDL‑C ratio and TC/HDL‑C ratio were 1.10 (0.96, 1.26) and 1.34 (1.14, 1.59) in non-smokers. When TC was further adjusted, the ORs (95 % CIs) were 1.40 (0.79, 2.52) and 1.53 (1.21, 1.93) for TG/HDL‑C ratio and TC/HDL‑C ratio, respectively. Non-linear relationships were detected between TG/HDL‑C ratio and TC/HDL‑C ratio and low ABI in both smokers and non-smokers. Conclusions: TC/HDL‑C ratio was significantly associated with low ABI in non-smokers and the association was independent of TC, TG, HDL‑C, and LDL-C. TC/HDL‑C might be considered as a potential biomarker for early peripheral arterial disease screening.


Diabetes ◽  
1982 ◽  
Vol 31 (11) ◽  
pp. 1029-1032 ◽  
Author(s):  
J. L. Witztum ◽  
M. Fisher ◽  
T. Pietro ◽  
U. P. Steinbrecher ◽  
R. L. Elam

10.2741/1077 ◽  
2003 ◽  
Vol 8 (4) ◽  
pp. d1044-1054 ◽  
Author(s):  
Michael C Phillips

Sign in / Sign up

Export Citation Format

Share Document