scholarly journals Acetylcarnitine Is Associated With Cardiovascular Disease Risk in Type 2 Diabetes Mellitus

2021 ◽  
Vol 12 ◽  
Author(s):  
Shuo Zhao ◽  
Ming-Li Liu ◽  
Bing Huang ◽  
Fu-Rong Zhao ◽  
Ying Li ◽  
...  

ObjectiveThis study aimed to identify the association between specific short-chain acylcarnitines and cardiovascular disease (CVD) in type 2 diabetes mellitus (T2DM).MethodWe retrieved 1,032 consecutive patients with T2DM who meet the inclusion and exclusion criteria from the same tertiary care center and extracted clinical information from electronic medical records from May 2015 to August 2016. A total of 356 T2DM patients with CVD and 676 T2DM patients without CVD were recruited. Venous blood samples were collected by finger puncture after 8 h fasting and stored as dried blood spots. Restricted cubic spline (RCS) analysis nested in binary logistic regression was used to identify possible cutoff points and obtain the odds ratios (ORs) and 95% confidence intervals (CIs) of short-chain acylcarnitines for CVD risk in T2DM. The Ryan–Holm step-down Bonferroni procedure was performed to adjust p-values. Stepwise forward selection was performed to estimate the effects of acylcarnitines on CVD risk.ResultThe levels of C2, C4, and C6 were elevated and C5-OH was decreased in T2DM patients with CVD. Notably, only elevated C2 was still associated with increased CVD inT2DM after adjusting for potential confounders in the multivariable model (OR = 1.558, 95%CI = 1.124–2.159, p = 0.008). Furthermore, the association was independent of previous adjusted demographic and clinical factors after stepwise forward selection (OR = 1.562, 95%CI = 1.132–2.154, p = 0.007).ConclusionsElevated C2 was associated with increased CVD risk in T2DM.

2019 ◽  
Vol 31 (7) ◽  
pp. 622-632
Author(s):  
Sheng Qian Yew ◽  
Yook Chin Chia ◽  
Michael Theodorakis

In this study, we evaluated the performance of the Framingham cardiovascular disease (CVD) and the United Kingdom Prospective Diabetes Study (UKPDS) risk equations to predict the 10-year CVD risk among type 2 diabetes mellitus (T2DM) patients in Malaysia. T2DM patients (n = 660) were randomly selected, and their 10-year CVD risk was calculated using both the Framingham CVD and UKPDS risk equations. The performance of both equations was analyzed using discrimination and calibration analyses. The Framingham CVD, UKPDS coronary heart disease (CHD), UKPDS Fatal CHD, and UKPDS Stroke equations have moderate discrimination (area under the receiver operating characteristic [aROC] curve = 0.594-0.709). The UKPDS Fatal Stroke demonstrated a good discrimination (aROC curve = 0.841). The Framingham CVD, UKPDS Stroke, and UKPDS Fatal Stroke equations showed good calibration ( P = .129 to .710), while the UKPDS CHD and UKPDS Fatal CHD are poorly calibrated ( P = .035; P = .036). The UKPDS is a better prediction equation of the 10-year CVD risk among T2DM patients compared with the Framingham CVD equation.


2021 ◽  
pp. 105477382110464
Author(s):  
Emine Karaman ◽  
Aslı Kalkım ◽  
Banu Pınar Şarer Yürekli

In this study was to determine knowledge of cardiovascular disease (CVD) risk factors and to explore related factors among adults with type 2 diabetes mellitus (DM) who have not been diagnosed with CVD. This descriptive study was conducted with 175 adults. Data were collected individual identification form and Cardiovascular Disease Risk Factors Knowledge Level (CARRF-KL) scale. A negative correlation was found between age and CARRF-KL score. A significant difference was found between educational status and CARRF-KL score. The individuals described their health status as good, managed their condition with diet and exercise, received information from nurses, adults with DM in their family and those with no DM complications had significantly higher scores in CARRF-KL. The knowledge of an individual with DM about CVD risk factors should be assessed, CVD risks should be identified at an early stage, and individuals at risk should be subjected to screening.


2007 ◽  
Vol 76 (3) ◽  
pp. 436-444 ◽  
Author(s):  
Blanca Lahoz-Rallo ◽  
Manuel Blanco-Gonzalez ◽  
Inmaculada Casas-Ciria ◽  
Jose Alberto Marín-Andrade ◽  
Juan Carlos Mendez-Segovia ◽  
...  

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