scholarly journals Non-fasting lipid profile for cardiovascular risk assessments using China ASCVD risk estimator and Europe SCORE risk charts in Chinese participants

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Shi-Lan Zhang ◽  
Xiao Du ◽  
Jin Xu ◽  
Qun-Yan Xiang ◽  
Ling Liu
2020 ◽  
Author(s):  
Shi-Lan Zhang ◽  
Xiao Du ◽  
Jin Xu ◽  
Qun-yan Xiang ◽  
Ling Liu

Abstract Background Previous studies have shown that non-fasting lipids have similar values in cardiovascular risk estimation as fasting, but it is not clear whether this could also be applicable to Chinese participants.Methods A total of 127 (76 men, 51 women) participants without atherosclerotic cardiovascular diseases (ASCVD) were enrolled in the study. Serum levels of blood lipids were monitored at 0 h, 2 h and 4 h after a daily breakfast. Ten-year cardiovascular disease (CVD) risk was estimated with China ASCVD risk estimator and Europe SCORE risk charts. Kappa statistic was used to determine agreement among estimators.Results there was substantial agreement between China ASCVD risk estimator based on fasting and non-fasting lipid profiles (Kappa = 0.731 or 0.718, P < 0.001), but poorly agreement between China ASCVD risk estimator and SCORE low- or high-risk chart (Kappa = 0.339 or 0.300, P < 0.001).Conclusions Promoting use of non-fasting blood lipids in diagnosis, evaluation, and prediction of CVD are feasible. Furthermore, non-fasting blood lipids could be used in China ASCVD risk estimator to evaluate assess 10-year risk of ASCVD among Chinese general participants.


2013 ◽  
Vol 154 (43) ◽  
pp. 1709-1712 ◽  
Author(s):  
Csaba Móczár

Introduction: Cardiovascular risk assessment may help in the identification of symptom-free subjects with high cardiovascular risk. Aim: The author studied the correlation between SCORE and Reynolds risk assessment systems based on data from the cardiovascular risk screening program carried out in subjects without cardiovascular disease. Method: Data obtained from 4462 subjects (1977 men and 2485 women; mean age, 47,4 years) were analysed. The comparison was based on risk categories of the SCORE system. Results: There was a strong correlation between the two scoring systems in the low risk population (under <2% SCORE risk the Spearman rho = 1, p < 0.001). A weak correlation was found in the medium risk group (between 3–4% the Spearman rho = 0.59–0.49, p < 0.001 and between 10–14% the Spearman rho = 0.42, ns.) and a stronger correlation in the high risk group (>15% the Spearmen rho = 0.8, p = 0.017). When correlations were analysed in gender and age categories, the weakest correlation was detected in medium risk women over 40 years of age. In cases when the differences between the two scoring systems were significant, the hsCRP levels were significantly higher (4.1 vs. 5.67 mg/L, p < 0.001). Conclusions: Introduction of hsCRP into cardiovascular risk assessments can refine the risk status of symptom-free subjects, especially among intermediate risk middle-age women (two-step risk assessment). Orv. Hetil., 154 (43), 1709–1712.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Andrea Giacomelli ◽  
Federico Conti ◽  
Laura Pezzati ◽  
Letizia Oreni ◽  
Anna Lisa Ridolfo ◽  
...  

Abstract Background We aimed to assess the overall cardiovascular and metabolic effect of the switch to three different single tablet regimens (STRs) [tenofovir alafenamide/emtricitabine/rilpivirine (TAF/FTC/RPV), TAF/FTC/elvitegravir/cobi (TAF/FTC/EVG/cobi) and ABC/lamivudine/dolutegravir (ABC/3TC/DTG)] in a cohort of people living with HIV/AIDS (PLWH) under effective ART. Methods All PLWH aged above 18 years on antiretroviral treatment with an HIV-RNA < 50 cp/mL at the time of the switch to TAF/FTC/RPV, TAF/FTC/EVG/cobi and ABC/3TC/DTG were retrospectively included in the analysis. Framingham risk score modification after 12 months from the switch such as lipid profile and body weight modification were assessed. The change from baseline to 12 months in mean cardiovascular risk and body weight in each of the STR’s group were assessed by means of Wilcoxon signed-rank test whereas a mixed regression model was used to assess variation in lipid levels. Results Five-hundred and sixty PLWH were switched to an STR regimen of whom 170 (30.4%) to TAF/FTC/EVG/cobi, 191 (34.1%) to TAF/FTC/RPV and 199 (35.5%) to ABC/3TC/DTG. No difference in the Framingham cardiovascular risk score was observed after 12 months from the switch in each of the STR’s groups. No significant overtime variation in mean total cholesterol levels from baseline to 12 months was observed for PLWH switched to ABC/3TC/DTG [200 (SD 38) mg/dl vs 201 (SD 35) mg/dl; p = 0.610] whereas a significant increment was observed in PLWH switched to TAF/FTC/EVG/cobi [192 (SD 34) mg/dl vs 208 (SD 40) mg/dl; p < 0.0001] and TAF/FTC/RPV [187 (SD 34) mg/dl vs 195 (SD 35) mg/dl; p = 0.027]. In addition, a significant variation in the mean body weight from baseline to 12 months was observed in PLWH switched to TAF/FTC/EVG/cobi [72.2 (SD 13.5) kilograms vs 74.6 (SD 14.3) kilograms; p < 0.0001] and TAF/FTC/RPV [73.4 (SD 11.6) kilograms vs 75.6 (SD 11.8) kilograms; p < 0.0001] whereas no difference was observed in those switched to ABC/3TC/DTG [71.5 (SD 12.8) kilograms vs 72.1 (SD 12.6) kilograms; p = 0.478]. Conclusion No difference in the cardiovascular risk after 1 year from the switch to these STRs were observed. PLWH switched to TAF/FTC/EVG/cobi and TAF/FTC/RPV showed an increase in total cholesterol levels and body weight 12 months after the switch.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Kolossvary ◽  
E.K Fishman ◽  
G Gerstenblith ◽  
D.A Bluemke ◽  
R.N Mandler ◽  
...  

Abstract Background/Introduction Cross-sectional studies are inconsistent on the potential independent adverse effects of human immunodeficiency virus (HIV)-infection on coronary artery disease (CAD). Furthermore, there is no information on the potential effects of HIV-infection on plaque volumes. Also, only the independent effects of HIV-infection on CAD have been investigated. Purpose In a prospective longitudinal observational cohort, we wished to assess whether HIV-infection accelerates CAD independently, or by acting in synergistic fashion with conventional and nonconventional cardiovascular risk factors to accelerate disease progression as assessed by clinical and volumetric parameters of CAD on coronary CT angiography (CCTA). Methods Overall, 300 asymptomatic individuals without cardiovascular symptoms but with CCTA-confirmed coronary plaques (210 males, age: 48.0±7.2 years) with or without HIV (226 HIV-infected) prospectively underwent CCTA at two time points (mean follow-up: 4.0±2.3 years). Agatston-score, number of coronary plaques, segment stenosis score were calculated, and we also segmented the coronary plaques to enumerate total, noncalcified (−100–350HU) and calcified (≥351HU) plaque volumes. Linear mixed models were used to assess the effects of HIV-infection, atherosclerotic cardiovascular disease (ASCVD) risk, years of cocaine use and high-sensitivity C-reactive protein on CCTA markers of CAD. Results In univariate analysis, there was no significant difference in CAD characteristics between HIV-infected and -uninfected, neither at baseline nor at follow-up (p&gt;0.05 for all). Furthermore, there was no significant difference in annual progression rates between the two groups (p&gt;0.05 for all). By multivariate analysis, HIV was not associated with any CAD parameter (p&gt;0.05 for all). However, among HIV-infected individuals, each year of cocaine use significantly increased all CAD parameters (p&lt;0.05 for all), while ASCVD risk score was significantly associated with CAD parameters except for Agatston-score (p&lt;0.05). These associations were only present among HIV-infected individuals. Conclusion(s) Instead of directly worsening CAD, HIV may promote CAD through increased susceptibility to conventional and nonconventional cardiovascular risk factors. Therefore, aggressive management of both conventional and nonconventional cardiovascular risk factors is needed to reduce cardiovascular burden of HIV-infection. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Institutes of Health, National Institute on Drug Abuse


2021 ◽  
Vol 6 (4) ◽  
pp. S231
Author(s):  
I. Nasri ◽  
M. Khadhar ◽  
S. Bouassida ◽  
R. Lazzez ◽  
S. Agrebi ◽  
...  

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1719.1-1720
Author(s):  
V. Savio ◽  
Y. Tissera ◽  
M. I. Quaglia ◽  
J. A. Albiero ◽  
C. G. Alonso ◽  
...  

Background:Psoriatic arthritis (PsA) is a chronic inflammatory disease associated with higher risk of cardiovascular events and metabolic syndrome. The inflammation not only accelerates atherosclerosis, but also may influence cardiovascular (CV) risk factors such as lipid profile, blood pressure and insulin resistance. Lipid profile has previously been studied in PsA, however this association is still controversial.Objectives:To study the frequency of altered lipid profile in patients with PsA and its association with disease activity.Methods:We studied all the patients with diagnosis of PsA who consecutively attended to Rheumatology Unit at Cordoba Hospital from July 2018 to December 2019. PsA was diagnosed according CASPAR criteria. Clinical and laboratory data were collected. The activity of the disease was evaluated by PASI, MDA and DAPSA. Quantitative variables will be expressed in median and 1st and 3rd interquartile; qualitative variables expressed in frequency and percentage. Correlation analysis was calculated using Spearman’s rank correlation coefficient. P<0.05 was considered statistically significant.Results:42 PsA patients were included. Mean age was 56 years old (47.25-62.75) and 54.76% were female (n=23). 92.86% (n=39) of the patients had plaque Psoriasis and 87.8% (n=36) had peripheral joint involvement.Frequency of comorbidities in PsA are shown in Graphic 1. 31 (73.8%) of the patients were treated with topical therapy, 3 (7.14%) with phototherapy, 31 (73.8%) with Methotrexate and 17 (41.46%) with biologics and JAK inhibitor. Activity Disease Index and Lipid profile are shown in Table 1 and 2.There was not association between Apo B/Apo A coefficient with DAPSA (rho=0.013; p=0.940) and MDA (rho=-0.029; p=0.867).Conclusion:In spite of the presence of cardiovascular factors in the majority of PsA patients, lipid profile is not correlated with disease activity in this population.References:[1]Ahlehoff O, Gislason GH, Charlot M, et al. Psoriasis is associated with clinically significant cardiovascular risk: A Danish nationwide cohort study. J Intern Med 2011;270:147-57.[2]Mallbris, L., Ritchlin, C.T., Ståhle, M. “Metabolic disorders in patients with psoriasis and psoriatic arthritis.” Curr RheumatolRep.8(5): 355–363. 2006[3]Ng CY, Tzeng I-S, Liu S-H, Chang Y-C, Huang Y-H. Metabolic parameters in psoriatic patients treated with interleukin-12/23 blockade (Ustekinumab). J Dermatol 2018; 45:309–313[4]Kaur S, Kingo K, Zilmer M. Psoriasis and cardiovascular risk – do promising new biomarkers have clinical impact? Mediators Inflamm 2017; 2017: 7279818[5]Gentile M, Peluso R, Di Minno MN, et al. Association between small dense LDL and sub-clinical atherosclerosis in patients with psoriatic arthritis. ClinRheumatol 2016; 35: 2023-9.Graphic 1.Comorbidities in PsATable. 1.Activity Disease Index in PsAACTIVITY INDEXn=42DAPSA14.45 (9.72-23.92)DAPSA≤4 REMISSION3>4 y ≤14 low disease activity16>14 y ≤28 moderate disease activity17>28 high disease activity3cDAPSA14.00 (8.00-23.00)/41*MDA9 (25)/36PASI2.20 (0.20-6.80)/41**Expressed in median and interquartiles.Qualitative variables expressed in frequency and percentage.Table. 2.Lipid Profile in PsA patients.Cholesterol (mg/dl)194.5 (164.8-218.2)HDL (mg/dl)48.00 (37.00-57.00)LDL (mg/dl)114.5 (78.5-140.8)TG (mg/dl)139.50 (89.25-191.20)Expressed in median and interquartiles.Disclosure of Interests:None declared


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