scholarly journals Predictive Value of Small Dense Low-density Lipoprotein Cholesterol for Cardiovascular Events in Chinese Elder Diabetes Mellitus Patients

2021 ◽  
Author(s):  
Li Xu ◽  
Xu Chen ◽  
Jingfen Lu ◽  
Yan Xu ◽  
Honglin Yang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Predictive Value ◽  
Cardiovascular Events ◽  
Cox Regression ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Roc Curve Analysis ◽  
Cox Regression Analysis ◽  
Type 2 Dm

Abstract BackgroundAs a subcomponent of lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C) has been suggested to be a better predictor of cardiovascular diseases (CVD). The aim of this research was to evaluate the predictive value of the sdLDL-C in cardiovascular events (CVs) in Chinese elder type 2 diabetes mellitus (DM) patients.MethodsA total of 386 consecutive type 2 DM patients were included into this study during December 2014 to December 2016. The serum sdLDL-C level of each subject was measured by homogeneous method. During a period of 48-month’s follow-up, the occurrence of CVs and associated clinical information were recorded. Receiver operating characteristic (ROC) curves were used to assess the predictive value of serum sdLDL-C to occurrence of major CVs.ResultsA total of 92 CVs occurred during the study period. The ROC curve analysis manifested that sdLDL-C in the study population had a matchable discriminatory power (AUC for sdLDL-C was 0.7366, P = 0.003). In addition, Kaplan-Meier event-free survival curves displayed an obvious increase of CVs risk for sdLDL‐C≧26 mg/dL (log-rank = 9.10，P = 0.003). This phenomenon had analogous results in patients who received statins at baseline (log rank = 7.336，P = 0.007). Cox regression analysis revealed that the increase in HbA1c, glucose, LDL-C, sdLDL-C, non-HDL-C and ApoB and the decrease in ApoAI were obviously interrelated with heightened CVs risk . Multiple Cox regression demonstrated that the increase of sdLDL-C and HbA1c was significantly correlated with CVs. The results of the study indicated that high sdLDL-C level (＞10 mg/dL) was a risk factor for CVs in the multivariate model (HR 1.281, 95% CI 1.225-16.032; P<0.01).ConclusionsdLDL-C level could be an effective predictor in predicting the future CVs for Chinese elder type 2 DM patients with dyslipidemia.

scholarly journals Predictive Value of Small Dense Low-density Lipoprotein Cholesterol and Remnant-like Particle Cholesterol for Cardiovascular Events in Chinese Elder Diabetes Mellitus Patients

2020 ◽  
Author(s):  
Li Xu ◽  
Feifei Lu ◽  
Jingfen Lu ◽  
Yan Xu ◽  
Nuoer Chen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Predictive Value ◽  
Cardiovascular Events ◽  
Cox Regression ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Cox Regression Analysis ◽  
Type 2 Dm ◽  
Increased Risk

Abstract BackgroundAs a subcomponent of lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C) have been suggested to be a better predictor of cardiovascular diseases(CVD). This research was to evaluate the predictive of the sdLDL-C in cardiovascular events (CVs) in Chinese elder type 2 diabetes mellitus(DM) patients.MethodsSerum sdLDL-C measured by homogeneous method was compared in 386 consecutive type 2 DM patients between December 2014 and December 2016. Finally, 92 type 2 DM patients had CVs during the 48-month follow-up period. Receiver operating characteristic (ROC) curves were used for assess the predictive value of baseline parameters to major CVs.ResultsNinety-two CVs occurred during the study period.The ROC curve manifested that sdLDL-C in the study population had a matchable discriminatory power (AUC for sdLDL-C was 0.7366, P = 0.003). In addition, kaplan-Meier event-free survival curves displayed a obvious increase of CVs risk for sdLDL-C ≧ 26 mg/dL (log-rank = 9.10,P = 0.003). This phenomenon had analogousresultsin patients who received statins at baseline (log rank = 7.336༌P = 0.007).The study discovered that the increase in HbA1c, glucose, LDL-C, sdLDL-C, non-HDL-C and ApoB and the decrease in ApoA1 were obviously interrelated with heightened CVs risk through Cox regression analysis. Multivariate analysis demonstrated that the increase of sdLDL-C and HbA1c was obviously correlated with CVs. The results of the study indicated that sdLDL-C (per 10 mg/dL) was a increased risk for CVs in the multivariate model (HR 1.281, 95% CI 1.225–16.032; P < 0.01).ConclusionThe consequences demonstrated that sdLDL-C was more effective than RLP-C in predicting the future CVs of Chinese elder type 2 DM patients

scholarly journals Predictive value of small dense low-density lipoprotein cholesterol for cardiovascular events in Chinese elder diabetes mellitus patients

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Li Xu ◽  
Xu Chen ◽  
Jingfen Lu ◽  
Yan Xu ◽  
Honglin Yang ◽  
...  
Keyword(s):  
Predictive Value ◽  
Cardiovascular Events ◽  
Cox Regression ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Type 2 Dm

Abstract Background As a subcomponent of low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C) has been suggested to be a better predictor of cardiovascular diseases (CVD). The aim of this research was to evaluate the predictive value of the sdLDL-C in cardiovascular events (CVs) in Chinese elderly patients with type 2 diabetes mellitus (DM). Methods A total of 386 consecutive type 2 DM patients were included into this study during December 2014 to December 2016. The serum sdLDL-C level of each subject was measured by homogeneous method. During a period of 48-month’s follow-up, the occurrence of CVs and associated clinical information were recorded. Receiver operating characteristic (ROC) curves were used to assess the predictive value of serum sdLDL-C to occurrence of major CVs. Results A total of 92 CVs occurred during the study period. The ROC curve analysis manifested that sdLDL-C in the study population had a matchable discriminatory power (AUC for sdLDL-C was 0.7366, P = 0.003). In addition, Kaplan-Meier event-free survival curves displayed an obvious increase of CVs risk for sdLDL‐C ≧ 26 mg/dL (log-rank = 9.10, P = 0.003). This phenomenon had analogous results in patients who received statins at baseline (log rank = 7.336, P = 0.007). Cox regression analysis revealed that the increase in HbA1c, glucose, LDL-C, sdLDL-C, non-high-density lipoprotein cholesterol (non-HDL-C) and apolipoprotein B (ApoB) and the decrease in apolipoprotein AI (ApoAI) were obviously interrelated with heightened CVs risk. Multiple Cox regression demonstrated that the increase of sdLDL-C and hemoglobin A1c (HbA1c) was significantly correlated with CVs. The results of the study indicated that high sdLDL-C level (> 10 mg/dL) was a risk factor for CVs in the multivariate model (HR 1.281, 95% CI 1.225–16.032; P < 0.01). Conclusion sdLDL-C level could be an effective predictor in predicting the future CVs for Chinese elderly patients with type 2 DM and dyslipidemia.

Associations between Diabetes Mellitus and Nontuberculous Mycobacterium-Caused Diseases in Taiwan: A Nationwide Cohort Study

2021 ◽  
Author(s):  
Jui-Yang Wang ◽  
Hsin-Chung Lin ◽  
Hsin-An Lin ◽  
Chi-Hsiang Chung ◽  
Lih-Chyang Chen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
High Risk ◽  
Cox Regression ◽  
Nontuberculous Mycobacterium ◽  
Research Database ◽  
Cox Regression Analysis ◽  
Type 2 Dm ◽  
Type 1 Dm

Patients with diabetes mellitus (DM) are at greater risk of developing active tuberculosis and other intracellular bacterial infections, although the risk of acquiring infections from nontuberculous Mycobacterium (NTM) remains undefined. This study evaluated associations between DM and incidence of NTM infection-caused pulmonary and cutaneous diseases. Data for DM patients were extracted from the National Health Insurance Research Database of Taiwan. The DM cohort included 136,736 patients, and cases were matched randomly by age, gender, and index year with non-DM patients. Multivariate Cox proportional hazards regression was used to calculate adjusted hazard ratios of incident NTM-caused diseases in the DM cohort compared with non-DM control subjects. The frequency of incident NTM-caused diseases was significantly greater in DM patients (0.12%) than in non-DM patients (0.08%) (P < 0.05), including patients with type 1 DM (0.12%) and type 2 DM (0.12%) (all P < 0.05). Adjusted multivariate Cox regression analysis revealed that the incidence of NTM-caused diseases in DM patients was 1.43-fold greater than that in non-DM patients overall (P < 0.05), particularly in pulmonary (1.13-fold), other specific (excluding pulmonary, cutaneous, and disseminated diseases; 3.88-fold), and unspecific (atypical NTM infection; 1.54-fold) diseases (all P < 0.05). In conclusion, both type 1 DM and type 2 DM patients have high risk of NTM-caused diseases, suggesting that physicians need to pay more attention to this issue concerning the high risk of NTM-caused infection in DM patients.

scholarly journals “STUDY OF TOTAL CHOLESTEROL (TC), TRIACYLGLYCEROLS (TG), HIGH DENSITY LIPOPROTEIN CHOLESTEROL (HDL-C) IN TYPE II DIABETES MELLITUS.”

2017 ◽  
Vol 10 (2) ◽  
pp. 116 ◽  
Author(s):  
Smita V Patil ◽  
Anita P Mandare ◽  
Gaikwad B Pandurang
Keyword(s):  
Diabetes Mellitus ◽  
High Density Lipoprotein ◽  
Total Cholesterol ◽  
High Density Lipoprotein Cholesterol ◽  
Density Lipoprotein ◽  
High Density ◽  
Lipoprotein Cholesterol ◽  
Diabetic Patients ◽  
Type 2 Dm

Objective: There are probably 100 million people in the world with diabetes mellitus (DM), and incidences of diabetes are on the rise. Dyslipidemia is one of the common disorders which are seen in most of the diabetes patients, which causes cardiovascular disorders. The aim of this study is to investigate the total cholesterol (TC), triacylglycerols (TGs), high-density lipoprotein cholesterol (HDL-C) in Type 2 DM, and healthy controls.Methods: The study was conducted on 50 controls and 50 Type 2 diabetic subjects between age group of 30 and 60 years. Serum TC was determined by an enzymatic (cholesterol oxidase/phenol-aminophenazone [PAP]) colorimetric method and TGs were determined by an enzymatic (glycerol phosphate oxidase-PAP) method, and HDL-C was estimated by a precipitant method. Statistical analysis was done using unpaired t-test.Results: The mean value of TC, TGs, and HDL-C in normal subjects is 165.5±24.24, 118.7±41.58, 28.38±7.85 mg/dl, respectively, and the value of TC, TGs, and HDL-C in diabetic patients is 179±31.69, 164.35±27.93, 25.4±6.86 mg/dl, respectively. The observed difference in the means of TC, TGs, and HDL-C in normal and diabetic are statistically significant (p<0.05).Conclusion: From the present study, it is concluded that TC, TGs, and HDL-C levels for all persons with Type 2 DM should be done as a routine test. Furthermore, early diagnosis and treatment of dyslipidemia can be used as a preventive measure for the development of cardiovascular disease in Type 2 diabetes.Keywords: Diabetes mellitus, Dyslipidemia, Lipid profile, Total cholesterol, Triglycerides, High-density lipoprotein cholesterol.

scholarly journals Cholesterol levels and development of cardiovascular disease in Koreans with type 2 diabetes mellitus and without pre-existing cardiovascular disease

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Mee Kyoung Kim ◽  
Kyungdo Han ◽  
Han Na Joung ◽  
Ki-Hyun Baek ◽  
Ki-Ho Song ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Type 2 Diabetes Mellitus ◽  
Cox Regression ◽  
Reference Group ◽  
Density Lipoprotein ◽  
Type 2 Dm ◽  
Increased Risk

Abstract Background The aim of the present study was to identify a threshold for the cholesterol level at which the risk of cardiovascular disease (CVD) begins to increase in people with type 2 diabetes mellitus (DM). Methods Using the Korean National Health Insurance Service database, 2,077,135 people aged ≥ 40 years with type 2 DM who underwent regular health checks between 2009 and 2012 were included. Subjects with previous CVD were excluded. Cox regression analyses were performed to estimate the risk of CVD for each low-density lipoprotein cholesterol (LDL-C) group using the < 70 mg/dL as the reference group. Results There were 78,560 cases of stroke (3.91%), and 50,791 myocardial infarction (MI, 2.53%) during a median follow-up of 7.1 years. Among participants not taking statins, LDL-C levels of 130–159 mg/dL and ≥ 160 mg/dL were significantly associated with the risk of MI: the hazard ratios (HRs) (95% confidence interval) were 1.19 (1.14–1.25) and 1.53 (1.46–1.62), respectively. Among participants taking statins, all categories of LDL-C level ≥ 70 mg/dL were significantly associated with increased risk of stroke and MI. Conclusions We identified an increased risk of CVD in people with an LDL-C level ≥ 130 mg/dL among individuals with type 2 DM not taking statins. The risk of CVD was significantly higher in those taking statins with an LDL-C level ≥ 70 mg/dL.

GREATER LOW-DENSITY LIPOPROTEIN CHOLESTEROL VARIABILITY INCREASES THE RISK OF CARDIOVASCULAR EVENTS IN PATIENTS WITH TYPE 2 DIABETES MELLITUS

2019 ◽  
Vol 25 (9) ◽  
pp. 918-925 ◽  
Author(s):  
Wei-Hao Hsu ◽  
Chia-Wei Lai ◽  
Szu-Chia Chen ◽  
Hsin-Ying Clair Chiou ◽  
Pi-Jung Hsiao ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Standard Deviation ◽  
Cardiovascular Events ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Artery Disease

Objective: Variability in lipid levels has been associated with poor cardiovascular outcomes in patients with coronary artery disease. The aim of this study was to investigate whether low-density lipoprotein cholesterol (LDLC) variability can be used to predict cardiovascular events in patients with type 2 diabetes mellitus (DM). Methods: A total of 5,354 patients with type 2 DM were enrolled in this study. Cardiovascular events including peripheral arterial disease, coronary artery disease, stroke, and cardiovascular death were defined as the study endpoints, and standard deviations of lipid levels were used to define intra-individual lipid variability. Results: Univariate Cox proportional hazards analysis showed that LDL-C standard deviation (hazard ratio [HR] = 1.016; 95% confidence interval [CI] = 1.006 to 1.022; P<.001) was associated with a higher risk of cardiovascular events. Multivariate Cox proportional hazards analysis showed that an increase in LDL-C standard deviation significantly increased the risk of cardiovascular events (HR = 1.063; 95% CI = 1.025 to 1.102; P = .01). Kaplan-Meier analysis of cardiovascular event-free survival showed that the patients in tertiles 2 and 3 of the standard deviation of LDL-C had worse cardiovascular event-free survival compared to those in tertile 1. Conclusion: Variability in LDL-C could predict cardiovascular events in the patients with type 2 DM in this study. Abbreviations: CAD = coronary artery disease; CI = confidence interval; CVD = cardiovascular disease; DM = diabetes mellitus; eGFR = estimated glomerular filtration rate; HbA1c = glycosylated hemoglobin; HDL-C = high-density lipoprotein cholesterol; HR = hazard ratio; KMUHRD = Kaohsiung Medical University Hospital Research Database; LDL-C = low-density lipoprotein cholesterol; SD = standard deviation; UACR = urine albumin to creatinine ratio

scholarly journals Lipid Profile Pattern in Type 2 Diabetes Mellitus Patients

2020 ◽  
Vol 14 (2) ◽  
pp. 177-179
Author(s):  
Most Sarmin Sultana ◽  
Yasmin Akhter ◽  
Mimi Parvin ◽  
Md Mahbub Ul Alam ◽  
Lubna Naznin ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Lipid Profile ◽  
Density Lipoprotein ◽  
Armed Forces ◽  
Lipoprotein Cholesterol ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Type 2 Dm ◽  
Type 2 Diabetic

Introduction: Dyslipidemia has been noted to play an integral role in the pathogenesis and progression of micro and macrovascular complications in Diabetes Mellitus (DM) patients. Lipid profile is the indicators of dyslipidemia. Objectives: To evaluate the prevalence and pattern of dyslipidemia in type 2 DM patients. Materials and Methods: This cross sectional study was conducted at Armed Forces Institute of Pathology (AFIP) from November 2014 to October 2015. The study included 300 type 2 diabetic patients belonging to the age group 30-59 years. Personal data and history of co-existing medical conditions were collected by data collection sheet and analyzed. Results: Among 300 study subjects with type 2 DM the prevalence of dyslipidemia was 94% among them 19% had single dyslipidemia and 75% had multiple dyslipidemia. In this study, high level of total cholesterol (TC), triglycerides(TG) and Low Density Lipoprotein-Cholesterol (LDL-C) were found in 47.3%, 76.7% and 41.3% patients respectively. High Density Lipoprotein- Cholesterol (HDL-C) levels were found to be low in 60% patients. Conclusion: The study revealed that dyslipidemia is very common in type 2 diabetic patients and the most common abnormality observed was increased serum TG level followed by decreased HDL-C level. So, patients with type 2 DM should be followed up with serum lipid profile regularly. Journal of Armed Forces Medical College Bangladesh Vol.14 (2) 2018: 177-179

scholarly journals Prediction of atrial fibrillation and sudden cardiac death in type 2 diabetic patients on insulin: a territory-wide observational cohort study

2021 ◽  
Vol 10 (Supplement_1) ◽  
Author(s):  
S Lee ◽  
K Jeevaratnam ◽  
T Liu ◽  
D Chang ◽  
WKK Wu ◽  
...  
Keyword(s):  
Cox Regression ◽  
Density Lipoprotein ◽  
Adverse Outcomes ◽  
Lipoprotein Cholesterol ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Cox Regression Analysis ◽  
Hba1c Variability ◽  
Type 2 Diabetic

Abstract Funding Acknowledgements Type of funding sources: None. Introduction With the global shift towards a more personalized approach in the management of diabetes, there is an increasing interest in exploring the application of new parameters, such as HbA1c and lipid variability, to better monitor disease progression and evaluate the prognosis. Given that metabolic abnormalities may exacerbate the risk of adverse outcomes in patients with type 2 diabetes mellitus, patients who are partially or fully dependent on insulin are more likely to have severe disease and may be at higher risks of arrhythmias.  Purpose  The aim of the present study aims was to assess the predictive value of HbA1c and lipid variability towards ventricular tachycardia (VT), ventricular fibrillation (VF), or SCD, as well as incident AF in type 2 diabetic patients receiving insulin therapy. Methods The territory-wide retrospective observational study consists of type 2 diabetic patients prescribed with insulin, who attended publicly funded clinics and hospitals in Hong Kong between January 1st, 2009 to December 31st, 2009. Variability in total cholesterol, low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), triglyceride, and HbA1c were assessed through their standard deviation (SD) and coefficient of variation (CV) for patients with at least three measurements of the respective indices. Univariate and multivariate Cox regression analysis was used to predict for the primary outcomes- incident SCD and AF. Results A total of 23329 patients (mean ± SD age: 64 ± 14 years old; 51% male; mean HbA1c 8.6 ± 1.3%) were included. In total, 2512 and 1846 patients experienced incident SCD and AF respectively over the course of follow-up. On multivariate analysis, higher HbA1c variability (SD: hazard ratio [HR]: 1.45, 95% confidence interval [CI] 1.21-1.75; p &lt; 0.0001) and triglyceride variability (SD: HR: 1.36, 95%CI: 1.24-1.49; p &lt; 0.0001) were associated with increased of SCD risk. By contrast, only the increase in LDL-C variability was predictive of AF (SD: HR 2.95, 95%CI 1.37-6.39; p= 0.006). Conclusions  Higher HbA1c variability and lipid variability were associated with increased of SCD risk while only higher LDL-C variability was predictive of incident AF.  Therefore, poor glucose control and variability in lipid parameters in diabetic patients are associated with SCD and incident AF.  These observations suggest the need to re-evaluate the extent of glycemic control required for outcome optimization.

scholarly journals Association Between High-Density Lipoprotein Cholesterol and Type 2 Diabetes Mellitus Among Chinese: The Beijing Longitudinal Study of Aging

2020 ◽  
Author(s):  
Xue Cao ◽  
Zhe Tang ◽  
Jie Zhang ◽  
Haibin Li ◽  
Manjot Singh ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Cox Regression ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol

Abstract Background: Contradictory conclusions of association between high-density lipoprotein cholesterol (HDL-C) levels and type 2 diabetes mellitus (T2DM) were reported in different populations. This study aimed to clarify the effect of HDL-C on the risk of T2DM incidence using a cohort lasting for 25-year follow-up.Methods: This study included 1462 community residents aged 55 or above, excluding subjects with diabetes at baseline. Incident cases of T2DM were ascertained by self-reported T2DM or fasting plasma glucose testing. The data were collected in nine surveys held between the years 1992 to 2017. Cox regression and the Fine-Gray model were applied to evaluate the relationship between HDL-C levels and the risk of T2DM incidence.Results: 120 participants developed new diabetes during follow-up period. There was a significant negative association between HDL-C levels and the risk of newly on-set T2DM. The incidences of T2DM decreased with the increasing quartile ranges of HDL-C levels, which were 12.60, 9.70, 5.38 and 5.22 per 1000 person-years, respectively. The adjusted hazard ratios (HRs) and 95% confidence intervals were 0.78 (0.50-1.23), 0.51 (0.29-0.90) and 0.47 (0.26-0.84) for subjects with baseline HDL-C levels in ranges of 1.15-1.39, 1.40-1.69 and ≥ 1.70 mmol/L, compared with ones in the range of < 1.15 mmol/L. Similar decreased HRs of T2DM for elevated HDL-C levels were observed in time-dependent Cox regression and other sensitivity analyses.Conclusion: Higher HDL-C levels were independently related to the lower risk of the newly-onset T2DM among the elderly in China.

scholarly journals Impact of Adoption of Directly Measured Low-Density Lipoprotein-Cholesterol (LDL-C) on Targets of Lipid Control and Its Comparison With Friedewald Formula-Calculated LDL Cholesterol in People With Type-2 Diabetes Mellitus

2020 ◽  
pp. 263246362097804
Author(s):  
Rejitha Jagesh ◽  
Mathew John ◽  
Manju Manoharan Nair Jalaja ◽  
Tittu Oommen ◽  
Deepa Gopinath
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Atherosclerotic Cardiovascular Disease ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Friedewald Formula

Objectives: The accurate and precise measurement of low-density lipoprotein-cholesterol (LDL-C) is important in the assessment of atherosclerotic cardiovascular disease risk (ASCVD) in people with diabetes mellitus. This study aimed at comparing directly measured LDL-C with Friedewald formula (FF)-calculated LDL-C (c-LDL-C) in people with type-2 diabetes. Methods: Fasting lipid profiles of 1905 people with type-2 diabetes, whose LDL-C was estimated by direct LDL assay, were chosen for the study. In the same group, LDL-C was calculated with FF. Correlation and agreement between these methods were analyzed at various strata of triglycerides (TGs). The possibility of misclassifying people at various levels of LDL-C targets proposed in literature was calculated. Results: The mean LDL-C levels were lower in the c-LDL-C group across various TG strata. A significant correlation was found between c-LDL-C and direct LDL-C for all the study samples ( r = 0.948, P < .001) and across all TG strata. Analysis of agreement showed a positive bias for direct LDL-C which increased at higher strata of TGs. c-LDL-C underestimated ASCVD by misclassifying people at various LDL-C target levels. Conclusion: There is a difference between direct LDL-C and c-LDL-C values in people with diabetes and this may result in misclassifying ASCVD especially at lower levels of LDL-C and higher levels of TGs.

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