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

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

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

10.21203/rs.3.rs-225502/v1 ◽

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.

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

Diabetology & Metabolic Syndrome ◽

10.1186/s13098-021-00667-y ◽

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.

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

Cardiovascular Diabetology ◽

10.1186/s12933-019-0943-9 ◽

2019 ◽

Vol 18 (1) ◽

Cited By ~ 2

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.

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Abstract 6023: The Need for Blood Transfusion Is an Independent Predictor of Incident Cardiovascular Events and All-Cause Mortality among Patients Undergoing Percutaneous Coronary Intervention

Circulation ◽

10.1161/circ.118.suppl_18.s_1049-a ◽

2008 ◽

Vol 118 (suppl_18) ◽

Author(s):

Jasper Jan Brugts ◽

Nestor Mercado ◽

Joachim Ix ◽

Michael G Shlipak ◽

Simon R Dixon ◽

...

Keyword(s):

Diabetes Mellitus ◽

Blood Transfusion ◽

Cardiovascular Events ◽

Cox Regression ◽

Independent Predictor ◽

P Value ◽

Transfusion Rate ◽

Cox Regression Analysis ◽

Increased Risk ◽

All Cause Mortality

Periprocedural bleeding is one of the most frequent complications of percutaneours coronary interventions. We assessed the relation between blood transfusion and all-cause mortality or incident cardiovascular events (death, MI, stroke) among 6103 patients of the Evaluation of Oral Xemilofiban in Controlling Thrombotic Events (EXCITE)-trial. Subjects were followed for 7 months after enrollment for the occurrence of events. Multivariate Cox-regression analysis evaluated the independent association of blood transfusion with each outcome adjusted for age, gender, race, diabetes mellitus, hypertension, hypercholesterolemia, history of MI, PCI, CABG, heart failure, LVEF<30%, use of beta-blockers, statins, ACE-inhibitors, platelet inhibitors and allocation to treatment with xemolifiban. In addition, propensity score analyses were performed (ROC 0.80). Mean age was 59.2 years, 21.7% were female, and 18.9% had diabetes mellitus. Of the169 patients who received blood transfusion, 14 (8.3%) died and 42 (24.9%) experienced a CVD event. Of the 5934 patients without transfusion, 65 (1.1%) died (p-value: <0.001) and 555 (9,4%) experienced a CVD event (p-value: <0.001) In multivariate analysis, blood transfusion was associated with a 5.3 fold increased risk of mortality (HR 5.3; 95% CI 2.8 –10.2), and a 2.5 fold increased risk of incident CVD (HR 2.5; 95% CI 1.7–3.4.) Noteworthy, patients who were US citizens had a higher transfusion rate then non-US citizens (OR 1.45, 95%CI 1.02–2.06) The need of blood transfusion is a strong and independent predictor of all-cause mortality and incident CVD events among patients undergoing PCI.

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

American Journal of Tropical Medicine and Hygiene ◽

10.4269/ajtmh.20-1441 ◽

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.

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

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2017.v10i2.14535 ◽

2017 ◽

Vol 10 (2) ◽

pp. 116 ◽

Cited By ~ 2

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.

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Association between uric acid level and incidence of macroalbuminuria in people with type 2 diabetes mellitus: A 4.5-year cohort study

10.21203/rs.2.18350/v1 ◽

2019 ◽

Author(s):

Yun-Ju Lai ◽

Yu-Yen Chen ◽

Li-Jung Chen ◽

Po-Wen Ku ◽

Kuo-Chuan Hung ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Uric Acid ◽

Serum Uric Acid ◽

Cox Regression ◽

Characteristic Curve ◽

Cox Regression Analysis ◽

Increased Risk

Abstract Background: Using animal models and molecular biology researches, hyperuricemia has been shown to instruct renal arteriolopathy, arterial hypertension, and microvascular injury involving the renin-angiotensin system and resulting in renal function impairment. Nevertheless, the association between uric acid levels and the development of macroalbuminuria has been under-investigated in people with type 2 diabetes mellitus. Methods: Patients with type 2 diabetes and regular outpatient visits were recruited from a community hospital in Taiwan since January 2014. Demographics, lifestyle features, and medical history were gathered by well-trained interviewers. All participants underwent comprehensive physical examinations, including a biochemical assay of venous blood specimens and urine samples after an 8-hour overnight fast. Participants were followed until June 2018. The primary outcome was the macroalbuminuria incidence. Univariable and multivariable Cox regression analysis were employed to explore the relation between uric acid and incident macroalbuminuria. Uric acid cutoffs for incident macroalbuminuria were determined with the receiver operator characteristic curve. Results: We included 247 qualified subjects (mean age: 64.78 years old [standard deviation=11.29 years]; 138 [55.87%] men). During a 4.5-year follow-up duration, 20 subjects with incident macroalbuminuria were recognized. Serum uric acid was significantly associated with an increased risk of incident macroalbuminuria (adjusted hazard ratio=2.39; 95% confidence interval: 1.53-3.75; p<0.001) with potential confounders adjustment. The uric acid cutoff point was 6.9 mg/dL (area under the curve 0.708, sensitivity 60.0%, specificity 84.58%) for incident macroalbuminuria. Conclusions: Serum uric acid was associated with incident macroalbuminuria among people with type 2 diabetes.

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Abstract 3636: Ekg Left Ventricular Hypertrophy And Cardiovascular Events In Patients With Type 1 And Type 2 Diabetes Mellitus

Circulation ◽

10.1161/circ.116.suppl_16.ii_825-a ◽

2007 ◽

Vol 116 (suppl_16) ◽

Author(s):

Massimo Salvetti ◽

Maria Lorenza Muiesan ◽

Barbara Stanga ◽

Antonio Cimino ◽

Umberto Valentini ◽

...

Keyword(s):

Diabetes Mellitus ◽

Blood Pressure ◽

Total Cholesterol ◽

Odds Ratio ◽

Cardiovascular Events ◽

Prognostic Significance ◽

Type 2 Dm ◽

Increased Risk

Background: A large number of studies have demonstrated that LVH detected with standard electrocardiography is an independent predictor of future cardiovascular complications in various subsets of patients. Despite the fact that ECG represents the first cardiovascular test performed in diabetics, few data are available on the prognostic significance of EKG LVH in these patients. Aim of this study was to evaluate the relationship between EKG LVH and the risk of future cardiovascular events in a wide group of patients with diabetes mellitus (DM). Methods A total of 1131 prospectively identified patients with type 1 (n=613, age 36 ± 13 years, 40 % women, BP 127 ± 16/79 ± 8 mmHg, total cholesterol 196 ± 43 mg/dl, HbA1C 7.81 ± 1.67%) and with type 2 DM (n=618, age 53 ± 11 years, 34 % women, BP 137 ± 18/82 ± 8 mmHg, total cholesterol 208 ± 41 mg/dl, HbA1C 7.97 ± 1.72%) were studied. At baseline all subjects underwent baseline clinical examination with blood pressure measurement according to current guidelines, standard laboratory examinations and a 12 leads electrocardiogram. LVH was defined as the presence of a “Sokolow-Lyon” voltage >38 mm and/or a “Cornell voltage QRS duration product” >2440 mm* msec. Treatment was not standardized. Results LVH prevalence was 8.3 % in type 2 DM and 6.4 % in type 1 DM. Patients were followed for 63 ± 27 months (range 1–126). A first non fatal cardiovascular event occurred in 62 patients. Kaplan-Meyer analysis revealed a higher risk of cardiovascular events in patients with LVH both with type 1 and type 2 DM (Log Rank Mantel Cox p<0.01). In Cox analysis, controlling for age, gender, BMI, history of cardiovascular disease, systolic blood pressure, heart rate, total plasma cholesterol, HbA1c, albuminuria and antihypertensive treatment, the presence of LVH was associated with an increased risk of cardiovascular events in all patients (odds ratio 2.96, 95% CI 1.39 to 6.32, p<0.01) and separately in DM type 1 (odds ratio 5.71, 95% CI 1.29 to 25.17, p=0.02) and in type 2 DM (odds ratio 2.92, 95% CI 1.02 to 8.35, p=0.05). Conclusions: Our data demonstrate that in patients with DM the detection of LVH by EKG is associated to an increased risk of cardiovascular events, independently of other risk factors and represent the first demonstration of the prognostic significance of EKG-LVH in patients with type 1 diabetes

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

Endocrine Practice ◽

10.4158/ep-2019-0002 ◽

2019 ◽

Vol 25 (9) ◽

pp. 918-925 ◽

Cited By ~ 2

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

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Lipid Profile Pattern in Type 2 Diabetes Mellitus Patients

Journal of Armed Forces Medical College Bangladesh ◽

10.3329/jafmc.v14i2.45903 ◽

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

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