Literature DB >> 36212745

Impact of Severe Hypercholesterolemia on Cardiovascular Risk in Individuals With or Without Diabetes Mellitus.

Chan Joo Lee1, Sanghyun Park2, Kyungdo Han3, Sang-Hak Lee1.   

Abstract

Objective: The aim of the current study was to investigate whether the impact of low-density lipoprotein-cholesterol (LDL-C) levels on cardiovascular risk is different between individuals with severe hypercholesterolemia and diabetes mellitus (DM) and those without DM.
Methods: This study used the database of a National Health Insurance Service cohort of Korea. Among individuals who underwent health check-up, 2,261,332 were included and categorized into 3 groups with severe hypercholesterolemia, >260, 225-259, and 190-224 mg/dL groups, and a control group (<160 mg/dL). Risks of composite events (myocardial infarction [MI], coronary revascularization, and ischemic stroke) and total mortality were analyzed, according to the presence of DM.
Results: Of the study population, 5.2% had DM. During median follow-up of 6.1 years, the rates of composite events (/1,000 person-year) in non-DM and DM subjects were up to 5.66 and 8.92, respectively. Adjusted hazard ratios (aHRs) of the composite events ranged up to 3.11 and 1.44 in non-DM and DM groups, respectively (p<0.0001 between LDL-C categories in both groups). Dependency of aHR on LDL-C levels was more prominent in the non-DM group. aHRs of MI and coronary revascularization showed similar tendency to the composite events. Although aHRs of ischemic stroke (p<0.0001) and total mortality (p=0.002) were different according to LDL-C categories in the non-DM group, these relations were not observed in DM group.
Conclusion: Although individuals with severe hypercholesterolemia had high cardiovascular risk when DM was present, the impact of LDL-C on the risk was attenuated in this population.
Copyright © 2022 The Korean Society of Lipid and Atherosclerosis.

Entities:  

Keywords:  Coronary artery disease; Diabetes mellitus, type 2; Hyperlipoproteinemia type II; Outcome assessment, health care

Year:  2022        PMID: 36212745      PMCID: PMC9515734          DOI: 10.12997/jla.2022.11.3.299

Source DB:  PubMed          Journal:  J Lipid Atheroscler        ISSN: 2287-2892


INTRODUCTION

Familial hypercholesterolemia (FH) is global health burden.12 It accompanies severe hypercholesterolemia and cause very high cardiovascular risk. Therefore, patient care for cardiovascular prevention is of critical importance.34 Although these patients already have high low-density lipoprotein-cholesterol (LDL-C) levels, it is well-known that patients with further higher levels within this population show incrementally greater cardiovascular risk.5 Diabetes mellitus (DM) is also a crucial risk factor of cardiovascular disease.6 Cardiovascular prevention is also important in this population.7 Some international guidelines consider the presence of DM or DM-associated complications directly to upgrade cardiovascular risk status.8 Therefore, there are efforts to understand and predict cardiovascular risk in patients with DM separately, and utilize the results in clinical management.7 The aim of the current study was to investigate whether the impact of LDL-C levels on cardiovascular risk is different between individuals with severe hypercholesterolemia and DM and those without DM. We analyzed cardiovascular risk in this population with or without DM and compared the impact of LDL-C on cardiovascular events and total mortality.

MATERIALS AND METHODS

This study was conducted according to the Declaration of Helsinki and the study protocol was approved by Institutional Review Board of Severance Hospital, Yonsei University College of Medicine (4-2019-0516) and National Health Insurance Service (NHIS) of Korea (NHIS-2020-4-160). All study population of the present study overlap with statin non-users of our previous study.9 As NHIS database has been built for public use of health screening data with deidentified information, requirement for informed consent was waived. The data supporting the findings of the current study are available from the corresponding author upon reasonable request. We performed the present study in accordance with STROBE guidelines.

1. Database and study population

This is a retrospective cohort study using database of the NHIS, Korea9 including demographic data, diagnoses by the International Classification of Diseases Tenth Revision, Clinical Modification (ICD-10). The database also contains use of in- and outpatient services, pharmacy claims, and mortality. The NHIS, Korea provides health examination every other year for all Korean adults aged ≥20 years. It includes self-questionnaires on medical history, physical examination, and blood tests such as lipid profile. These results are included in the database anonymously. The enrollment flow of study population is shown in Fig. 1. Individuals who received the first NHIS health examination between January and December 2009 were initially screened. Among them, those who took ≥ one follow-up examination were identified. Last follow-up was performed in December 2018. The exclusion criteria were prior cardio- or cerebrovascular disease, prior statin use, no regular follow-up health examination, missing laboratory values, suspicious errors in cholesterol levels, starting statins at time point between 0–1-year follow-up, or death or cardio-/cerebrovascular events at <1-year follow-up. Finally, 2,261,332 persons were enrolled.
Fig. 1

Enrollment flow of study population.

The study population were categorized by LDL-C levels, that are as follows: ≥260, 225–259, 190–224, and <160 mg/dL. The 260 mg/dL level is from the American Make Early Diagnosis to Prevent Early Death criteria for FH aged ≥40 years.10 This age range is that of most study subjects in our cohort. The 225 mg/dL level is from the LDL-C threshold for carriers of putative FH-associated mutations from our prior study.2 The 190 mg/dL level is from the cut-off value of severe hypercholesterolemia in recent American guidelines for lipid-lowering therapy.11 As LDL-C ≥160 mg/dL is regarded “high,”12 individuals with LDL <160 mg/dL was used as a reference group.

2. Definitions

DM, hypertension, and body mass index (BMI) were assessed as clinical characteristics. The smoking status was checked based on self-questionnaires. Blood samples for lipid profiles were collected after overnight fasting, and the levels were assayed using an enzymatic measurement. DM and hypertension were defined as diagnosis history (ICD-10) and use of more than one anti-diabetic or anti-hypertensive agents, respectively. The primary outcome variable was composite of myocardial infarction (MI), coronary revascularization, and ischemic stroke. The secondary outcome variables were each component of primary outcome variable and total mortality. MI was defined according to ICD-10 codes (I12–I22) during hospitalization or these diagnostic codes found at least 2 times in the outpatient records. Coronary revascularization was defined as percutaneous coronary intervention or coronary artery bypass graft. The former included the codes M655*–M657* and the latter included the codes OA631*–OA639*, OB631*–OB639*, OA641*, OA642*, O0161*–O0171*, and O1641*–O1647*. Ischemic stroke was identified by ICD-10 codes during hospitalization and claims for brain imaging studies. Total mortality was assessed by those included in the NHIS linked to data provided by Statistics Korea.

3. Statistical analysis

Continuous variables were checked for normality using Shapiro-Wilk normality test. Those with normal distribution are presented as mean ± standard deviation and those with non-normal distribution as median (interquartile range). Categorical variables were presented as numbers (percentage). Continuous and categorical variables in subject groups were compared using Student’s t-test and χ2 test, respectively. Cox proportional hazards models were used to analyze the association between groups categorized by baseline LDL-C levels and primary and secondary outcome variables. Hazard ratios (HRs) and 95% confidence intervals were calculated in an unadjusted model 1. In model 2, 7 pre-specified potential confounders were adjusted as follows: age, sex, BMI, hypertension, smoking, triglyceride, and antiplatelet agent. Study population were analyzed according to the presence of DM.

RESULTS

1. Baseline characteristics

More than half of study population were under age of 50 (63.1%) and males were 60.2%. About 5% of the patients had DM (Table 1). Mean LDL-C levels were 110 mg/dL. Individuals with LDL-C >260, 225–259, 190–224, <160 mg/dL were 426, 1,762, 17,557, and 2,016,516, respectively. These corresponded to 0.02%, 0.08%, 0.8%, and 89.2% of total study population, respectively (Table 2).
Table 1

Clinical characteristics of the study population

VariablesGrouping by LDL-C levels (mg/dL)
>260225–259190–224<160
Non-DM (n=426)DM (n=61) p Non-DM (n=1,762)DM (n=174) p Non-DM (n=17,557)DM (n=1,287) p Non-DM (n=2,016,517)DM (n=109,350) p
Age45.2±13.253.1±14.4<0.000147.6±12.842.2±12.1<0.000148.0±12.3352.8±12.9<0.000145.0±12.955.4±12.5<0.0001
Male179 (42.0)25 (41.0)0.88795 (45.1)74 (42.5)0.5110,500 (59.8)803 (62.4)0.0671,197,817 (59.4)80,379 (73.5)<0.0001
Medical history
Hypertension92 (21.6)25 (41.0)<0.0009339 (19.2)67 (38.5)<0.00013,569 (20.3)538 (41.8)<0.0001343,800 (17.1)51,107 (46.7)<0.0001
Current smoker137 (32.2)21 (34.4)0.72503 (28.6)43 (24.7)0.285,214 (29.7)383 (29.8)0.9654,755 (27.2)33,518 (30.6)<0.0001
BMI (kg/m2)24.6±3.525.5±3.40.06124.9±3.225.6±3.70.00724.9±3.125.6±3.4<0.000123.4±3.124.7±3.3<0.0001
Lipid profile (mg/dL)
TC393±89437±1840.002319±22326±27<0.0001282±19288±22<0.0001188±29189±31<0.0001
TG133 (92–192)192 (122–275)0.002133 (98–180)160 (112–216)<0.0004126 (93–171)151 (113–208)<0.0001102 (70–151)137 (93–204)<0.0001
HDL-C55.2±16.774.4±1190.00255.0±13.855.6±17.40.5954.1±17.353.1±12.60.04655.8±20.951.1±25.0<0.0001
LDL-C306±81332±850.15236±9237±90.54201±9201±90.021108±26105±28<0.0001
Antiplatelet agent13 (3.1)4 (6.6)0.1649 (2.8)12 (6.9)0.003552 (3.1)132 (10.3)<0.000171,320 (4.0)21,370 (19.5)<0.0001

Data are presented as number (%), mean ± standard deviation or median (interquartile range) unless defined otherwise.

DM, diabetes mellitus; BMI, body mass index; TC, total cholesterol; TG, triglyceride; HDL-C, high-density lipoprotein-cholesterol; LDL-C, low-density lipoprotein-cholesterol.

Table 2

Risk of composite cardiovascular events and total mortality in the patient groups classified by LDL-C levels and DM without statin therapy

VariablesLDL-C (mg/dL)No. of patientsEventsDuration (person-year)Rate (/1,000 person-year)HR (95% CI) (model 1) p HR (95% CI) (model 2) p
Composite events
Non-DM>260426111,9425.663.20 (1.77–5.77)<0.00013.11 (1.73–5.61)<0.0001
225–2591,762357,9234.422.50 (1.79–3.48)2.22 (1.59–3.09)
190–22417,55731081,7483.792.14 (1.91–2.40)1.84 (1.65–2.06)
<1602,016,51621,83612,134,5161.8011
DM>2606122577.790.98 (0.25–3.93)0.271.08 (0.27–4.31)<0.001
225–25917456287.961.01 (0.42–2.44)1.28 (0.53–3.07)
190–2241,287444,9328.921.13 (0.84–1.52)1.44 (1.07–1.93)
<160109,3494,282538,1247.9611
MI
Non-DM>26042661,9443.096.29 (2.83–14.00)<0.00015.96 (2.69–13.23)<0.0001
225–2591,762167,9322.024.12 (2.52–6.73)3.52 (2.16–5.75)
190–22417,55711881,8221.442.94 (2.45–3.53)2.46 (2.05–2.95)
<1602,016,5166,11412,147,7690.5011
DM>2606102570-0.0002-<0.0001
225–25917436314.762.44 (0.78–7.67)2.84 (0.91–8.83)
190–2241,287174,9393.441.74 (1.08–2.82)2.12 (1.31–3.42)
<160109,3491,089540,6912.0111
Coronary revascularization
Non-DM>26042661,5183.955.63 (2.35–13.50)<0.00015.34 (2.22–12.84)<0.0001
225–2591,762216,1713.405.54 (3.58–8.59)4.94 (3.18–7.66)
190–22417,55715064,2712.333.35 (2.81–4.00)2.89 (2.42–3.45)
<1602,016,5166,98810,134,8710.6911
DM>2606101960-0.023-<0.0001
225–25917434576.572.23 (0.72–6.92)2.75 (0.89–8.54)
190–2241,287213,6605.741.29 (0.76–2.18)1.61 (0.95–2.72)
<160109,3491,541431,6133.5711
Ischemic stroke
Non-DM>26042641,9422.062.03 (0.76–5.41)<0.00011.92 (0.72–5.10)<0.0001
225–2591,762147,9261.771.74 (1.03–2.94)1.55 (0.92–2.62)
190–22417,55714381,7741.751.72 (1.46–2.03)1.48 (1.26–1.75)
<1602,016,51612,49212,140,1731.0311
DM>2606122577.791.73 (0.43–6.93)0.911.82 (0.45–7.27)0.23
225–25917426283.180.72 (0.18–2.87)0.92 (0.23–3.67)
190–2241,287204,9404.050.91 (0.59–1.41)1.16 (0.75–1.80)
<160109,3492,426539,0054.5011
Total mortality
Non-DM>260426101,9445.142.00 (1.08–3.72)0.0262.26 (1.22–4.21)0.002
225–2591,762237,9342.901.13 (0.75–1.70)1.19 (0.79–1.79)
190–22417,55724081,8412.931.14 (1.01–1.30)1.10 (0.97–1.25)
<1602,016,51631,93312,152,6072.6311
DM>26061525719.451.86 (0.78–4.48)0.00012.22 (0.92–5.33)0.25
225–259174763111.101.09 (0.52–2.29)1.50 (0.71–3.15)
190–2241,287394,9477.880.77 (0.56–1.05)1.13 (0.82–1.55)
<160109,3495,730541,34110.5811

Model 1: unadjusted. Model 2: adjusted for age, sex, body mass index, diabetes mellitus, hypertension, smoking, triglyceride, antiplatelet agent. Composite events: MI, coronary revascularization, or ischemic stroke. The p values are from Wald test for HRs of patient groups.

LDL-C, low-density lipoprotein-cholesterol; DM, diabetes mellitus; HR, hazard ratio; CI, confidence interval; MI, myocardial infarction.

Data are presented as number (%), mean ± standard deviation or median (interquartile range) unless defined otherwise. DM, diabetes mellitus; BMI, body mass index; TC, total cholesterol; TG, triglyceride; HDL-C, high-density lipoprotein-cholesterol; LDL-C, low-density lipoprotein-cholesterol. Model 1: unadjusted. Model 2: adjusted for age, sex, body mass index, diabetes mellitus, hypertension, smoking, triglyceride, antiplatelet agent. Composite events: MI, coronary revascularization, or ischemic stroke. The p values are from Wald test for HRs of patient groups. LDL-C, low-density lipoprotein-cholesterol; DM, diabetes mellitus; HR, hazard ratio; CI, confidence interval; MI, myocardial infarction.

2. Composite events in individuals with different LDL-C categories according to DM: primary outcome variable

The rates of composite events, the primary outcome variable, were up to 5.66/1,000 person-year in the non-DM group, whereas these were up to 8.92/1,000 person-year in the DM group. Adjusted HRs (aHRs) for composite events were up to 3.11 (p<0.0001 for comparison between LDL-C categories) in the non-DM group. The aHRs for the events were up to 1.44 (p<0.0001) in the DM group. Higher aHRs in individuals with higher LDL-C were more obviously observed in the non-DM group (Table 2 and Fig. 2).
Fig. 2

Incidence of outcome variables and aHRs. (A) Composite events. (B) Myocardial infarction. (C) Coronary revascularization. (D) Ischemic stroke. (E) Total mortality.

aHR, adjusted hazard ratio; DM, diabetes mellitus; LDL-C, low-density lipoprotein-cholesterol.

Incidence of outcome variables and aHRs. (A) Composite events. (B) Myocardial infarction. (C) Coronary revascularization. (D) Ischemic stroke. (E) Total mortality.

aHR, adjusted hazard ratio; DM, diabetes mellitus; LDL-C, low-density lipoprotein-cholesterol.

3. Each cardiovascular event and total mortality in individuals with different LDL-C categories according to DM: secondary outcome variables

The rates of MI were up to 3.09/1,000 person-year in the non-DM group, whereas these were up to 4.76 in the DM group. aHRs differed between individuals according to their LDL-C categories (p<0.0001 in both non-DM and DM groups) and the risk tended to be higher in individuals with higher LDL-C categories (up to 5.96 and 2.94 in non-DM and DM groups, respectively). Dependency of aHR on LDL-C levels was more prominent in the non-DM group. aHRs of coronary revascularization were up to 5.34 and 2.75 in the non-DM and DM groups, respectively, and showed similar tendency to MI (p<0.0001 for comparison between LDL-C categories). aHRs of ischemic stroke were up to 1.92 in the non-DM group according to LDL-C categories (p<0.0001). In patients with DM, interestingly, aHR between individuals with differing LDL-C categories did not show significant difference (p=0.23) (Table 2 and Fig. 2). The rates of mortality were up to 5.14 and 19.45 in the non-DM and DM groups, respectively. aHR of total mortality were up to 2.26 in the non-DM groups and revealed difference between individuals with different LDL-C categories (p=0.002). Although adjusted mortality risk were up to 2.22 in the DM group, difference between individuals with differing LDL-C categories was not significant (p=0.25) (Table 2 and Fig. 2).

DISCUSSION

The major findings of the present study include: 1) The cardiovascular event rates were consistently and considerably higher regardless of LDL-C categories in the DM group than in non-DM group. 2) Although a few variables did not show statistically significant difference, the LDL-C-dependent aHRs of most outcome variables tended to be lower in the DM group. 3) Although coronary artery disease (CAD)-related outcome variables were affected by LDL-C categories in the DM group, LDL-C levels did not have significant impact on the risk of ischemic stroke or total mortality in this group. We analyzed relative risk associated with LDL-C levels in individuals without and with DM separately. As presented in Table 2, aHRs of composite events were up to 3.11, whereas these were up to 1.44 according to LDL-C levels in those without and with DM, respectively. We expressed this tendency of smaller elevation of HR from higher LDL-C in DM patients as “impact of LDL-C was attenuated in DM.” Studies regarding whether the impact of LDL-C on cardiovascular outcomes is attenuated in patients with DM have been highly limited. In a Korean study using DM patients, DM duration, hypertension, smoking, family history of CAD but not LDL-C levels have been identified as predictors of the presence of CAD.13 In a study performed in Sweden, the impact of LDL-C level on mortality or stroke risk was lower than those of smoking, physical activity, control of DM, and blood pressure. However, LDL-C levels revealed substantial effect on MI in individuals with DM.7 In that study, LDL-C was one of top 3 factors for MI. Other high-ranked factors included glycated hemoglobin levels, systolic blood pressure, physical activity, and smoking. This finding is in accordance with our results that exhibited LDL-C level had influence on CAD-related risk in the DM group. Conversely, the impact of other cardiovascular risk factors such as low high-density lipoprotein-cholesterol (HDL-C) levels or triglyceride/HDL-C ratio could be attenuated in individuals with DM.14 Collectively, the increase of relative risk by higher LDL-C level on stroke and total mortality seems not significant in patients with DM, the presence of DM can cause risk elevation regarding CAD-related events. It is not completely clear what underlies the lack of association between LDL-C and ischemic stroke or total mortality in patients with DM. A few points could be discussed as follows. As mentioned in a prior study analyzing patients with DM, the impact of LDL-C on ischemic stroke or total mortality could be minimal compared to other risk factors.7 In addition, absolute values of relative risk associated with higher LDL-C on ischemic stroke and total mortality were smaller than those on coronary events in the current study and a previous report.9 This could have further attenuated the effect of LDL-C on these 2 outcomes. The factors elevating cardiovascular risk in patients with FH have been reported as LDL-C levels, age, history of atherosclerotic cardiovascular disease, obesity, hypertension, and smoking.5 In this study, DM did not affect the risk. Hypertension and low HDL-C were identified as predictors of CAD in the Korean FH registry study.15 However, results on a neutral effect of DM need to be interpreted cautiously, as the populations of above-mentioned studies were relatively young and the prevalence of DM was small. These factors could have influenced the negative findings. In the current study, cardiovascular risk indicated by aHR was higher when DM was present in individuals with LDL-C ≥190 mg/dL, suggesting an impact of DM on the risk. As our study population was very large, the current finding on the effect of DM seems more persuasive than others. In our study, event rates were considerably higher in patients with DM than that of the non-DM group. For instance, the composite event rate in the DM group even with LDL-C <160 mg/dL was higher than that in non-DM group with LDL-C ≥260 mg/dL. With regard to other event components, event rates of the DM group with normal LDL-C levels was similar or higher than those of non-DM group with ≥190 mg/dL or even ≥260 mg/dL. In this regard, DM itself is be a strong cardiovascular risk factor. In addition, incremental risk elevation by severe hypercholesterolemia in this people may be attenuated by some reason that remains to be elucidated. Our study is not without limitations. We cannot completely explain the reason why the impact of LDL-C level on clinical outcome is attenuated in patients with DM. However, it is worth to note that our study analyzed a large cohort of severe hypercholesterolemia that has not been well studied and compared the DM and non-DM groups. Especially, we demonstrated minimal effect of LDL-C levels on stroke and total mortality in the study population and this may have a strong power as evidence. Furthermore, we validated that impact of LDL-C levels was greater for CAD-related events than for others. In conclusion, although individuals with severe cholesterolemia had higher cardiovascular risk when DM was present, the impact of LDL-C on the risk was attenuated in this population. These results may help physicians to comprehensively control multiple risk factors in these patients at high risk.
  15 in total

1.  2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Scott M Grundy; Neil J Stone; Alison L Bailey; Craig Beam; Kim K Birtcher; Roger S Blumenthal; Lynne T Braun; Sarah de Ferranti; Joseph Faiella-Tommasino; Daniel E Forman; Ronald Goldberg; Paul A Heidenreich; Mark A Hlatky; Daniel W Jones; Donald Lloyd-Jones; Nuria Lopez-Pajares; Chiadi E Ndumele; Carl E Orringer; Carmen A Peralta; Joseph J Saseen; Sidney C Smith; Laurence Sperling; Salim S Virani; Joseph Yeboah
Journal:  J Am Coll Cardiol       Date:  2018-11-10       Impact factor: 24.094

2.  Predicting Cardiovascular Events in Familial Hypercholesterolemia: The SAFEHEART Registry (Spanish Familial Hypercholesterolemia Cohort Study).

Authors:  Leopoldo Pérez de Isla; Rodrigo Alonso; Nelva Mata; Cristina Fernández-Pérez; Ovidio Muñiz; José Luis Díaz-Díaz; Adriana Saltijeral; Francisco Fuentes-Jiménez; Raimundo de Andrés; Daniel Zambón; Mar Piedecausa; José María Cepeda; Marta Mauri; Jesús Galiana; Ángel Brea; Juan Francisco Sanchez Muñoz-Torrero; Teresa Padró; Rosa Argueso; José Pablo Miramontes-González; Lina Badimón; Raúl D Santos; Gerald F Watts; Pedro Mata
Journal:  Circulation       Date:  2017-03-08       Impact factor: 29.690

3.  Different associations between HDL cholesterol and cardiovascular diseases in people with diabetes mellitus and people without diabetes mellitus: a prospective community-based study.

Authors:  Zhijun Wu; Zhe Huang; Alice H Lichtenstein; Cheng Jin; Shuohua Chen; Shouling Wu; Xiang Gao
Journal:  Am J Clin Nutr       Date:  2021-05-21       Impact factor: 7.045

Review 4.  Diagnosis and treatment of familial hypercholesterolaemia.

Authors:  G Kees Hovingh; Michael H Davidson; John J P Kastelein; Anne M O'Connor
Journal:  Eur Heart J       Date:  2013-02-14       Impact factor: 29.983

5.  Risk Factors, Mortality, and Cardiovascular Outcomes in Patients with Type 2 Diabetes.

Authors:  Aidin Rawshani; Araz Rawshani; Stefan Franzén; Naveed Sattar; Björn Eliasson; Ann-Marie Svensson; Björn Zethelius; Mervete Miftaraj; Darren K McGuire; Annika Rosengren; Soffia Gudbjörnsdottir
Journal:  N Engl J Med       Date:  2018-08-16       Impact factor: 91.245

6.  Cardiovascular Risk and Treatment Outcomes in Severe Hypercholesterolemia: A Nationwide Cohort Study.

Authors:  Chan Joo Lee; Sanghyun Park; Kyungdo Han; Sang-Hak Lee
Journal:  J Am Heart Assoc       Date:  2022-04-26       Impact factor: 6.106

7.  Risk score model for the assessment of coronary artery disease in asymptomatic patients with type 2 diabetes.

Authors:  Gyung-Min Park; Hyonggin An; Seung-Whan Lee; Young-Rak Cho; Eun Ha Gil; Sung Ho Her; Young-Hak Kim; Cheol Whan Lee; Eun Hee Koh; Woo Je Lee; Min-Seon Kim; Ki-Up Lee; Joon-Won Kang; Tae-Hwan Lim; Seong-Wook Park; Seung-Jung Park; Joong-Yeol Park
Journal:  Medicine (Baltimore)       Date:  2015-01       Impact factor: 1.889

8.  Phenotypic and Genetic Analyses of Korean Patients with Familial Hypercholesterolemia: Results from the KFH Registry 2020.

Authors:  Hyoeun Kim; Chan Joo Lee; Sang-Hyun Kim; Jang Young Kim; Sung Hee Choi; Hyun-Jae Kang; Kyong Soo Park; Byung Ryul Cho; Byung Jin Kim; Ki Chul Sung; In-Kyung Jeong; Jin-Ok Jeong; Jang-Whan Bae; Jung Mi Park; Yunbeom Lee; Ilecheon Jeong; Hyojun Han; Ji Hyun Lee; Sang-Hak Lee
Journal:  J Atheroscler Thromb       Date:  2021-08-30       Impact factor: 4.394

9.  Dyslipidemia Fact Sheets in Korea 2020: an Analysis of Nationwide Population-based Data.

Authors:  So Mi Jemma Cho; Hokyou Lee; Hyeok-Hee Lee; Jongmin Baek; Ji Eun Heo; Hyung Joon Joo; Soon Jun Hong; Hyeon Chang Kim
Journal:  J Lipid Atheroscler       Date:  2021-04-02
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