This preprint is under consideration at Cardiovascular Diabetology. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Original investigation
The Value of Small Dense Low-Density Lipoprotein Cholesterol in Predicting the Risk and Severity of Coronary Heart Disease in Patients with Type 2 Diabetes Mellitus
Mei Jia
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8270-2297
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Elevated small density low – density lipoprotein cholesterol (sdLDL-C) particles are hallmarks of atherogenic dyslipidemia in patients with type 2 diabetes mellitus (T2DM), which is hypothesized to drive atherosclerotic risk. The present study aims to investigate the association between serum sdLDL-C level and the presence and severity of coronary heart disease (CHD).
Method: A total of 3684 consecutive patients with T2DM who received selective coronary angiography (CAG) were enrolled. The patients were subsequently divided into CHD and non-CHD groups according to results of CAG. The severity of CHD was evaluated by the number of stenotic, and the Gensini Score (GS).The patients were subsequently divided into four groups by the quartiles of sdLDL-C and evaluate the risk and severity of sdLDL-C and CHD.
Results: The sdLDL-C levels in CHD group were significantly higher than non-CHD group [0.80 (0.49) mmol/L vs 0.70 (0.30) mmol/L, P < 0.001]. The results from CHD subgroup analysis indicated that the patients with multiple-vessel disease and high GS had higher sdLDL-C levels compared with those in their matched subgroups (P < 0.05). By adjusting the confounding factors and analyzing by the multiple logistic regression, sdLDL-C had independent correlation with the presence and severity of CHD [CHD: OR = 2.757, 95%, CI = 1.662 - 5.364, P = 0.023; multiple-vessel disease: OR = 3.788, 95%, CI = 1.866 - 7.685, P = 0.026; High GS: OR = 3.054, 95%, CI = 1.944 - 5.699, P = 0.022].
Conclusion: In T2DM patients, the increase of sdLDL-C is related to the increase the prevalence and the severity of CHD. After adjustment for other risk factors, sdLDL-C was found to be an independent risk factor for CHD. Therefore, measuring sdLDL-C may allow for T2DM patients to predict the presence and severity of CHD.
Keywords
small density low – density lipoprotein, coronary heart disease, type 2 diabetes mellitus
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 09 Jun, 2020
No community comments so far
Submission checks complete
On 05 Jun, 2020
First submitted
On 03 Jun, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Learn more about our company.
This preprint is under consideration at Cardiovascular Diabetology. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Original investigation
The Value of Small Dense Low-Density Lipoprotein Cholesterol in Predicting the Risk and Severity of Coronary Heart Disease in Patients with Type 2 Diabetes Mellitus
Mei Jia
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8270-2297
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 09 Jun, 2020
No community comments so far
Submission checks complete
On 05 Jun, 2020
First submitted
On 03 Jun, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Elevated small density low – density lipoprotein cholesterol (sdLDL-C) particles are hallmarks of atherogenic dyslipidemia in patients with type 2 diabetes mellitus (T2DM), which is hypothesized to drive atherosclerotic risk. The present study aims to investigate the association between serum sdLDL-C level and the presence and severity of coronary heart disease (CHD).
Method: A total of 3684 consecutive patients with T2DM who received selective coronary angiography (CAG) were enrolled. The patients were subsequently divided into CHD and non-CHD groups according to results of CAG. The severity of CHD was evaluated by the number of stenotic, and the Gensini Score (GS).The patients were subsequently divided into four groups by the quartiles of sdLDL-C and evaluate the risk and severity of sdLDL-C and CHD.
Results: The sdLDL-C levels in CHD group were significantly higher than non-CHD group [0.80 (0.49) mmol/L vs 0.70 (0.30) mmol/L, P < 0.001]. The results from CHD subgroup analysis indicated that the patients with multiple-vessel disease and high GS had higher sdLDL-C levels compared with those in their matched subgroups (P < 0.05). By adjusting the confounding factors and analyzing by the multiple logistic regression, sdLDL-C had independent correlation with the presence and severity of CHD [CHD: OR = 2.757, 95%, CI = 1.662 - 5.364, P = 0.023; multiple-vessel disease: OR = 3.788, 95%, CI = 1.866 - 7.685, P = 0.026; High GS: OR = 3.054, 95%, CI = 1.944 - 5.699, P = 0.022].
Conclusion: In T2DM patients, the increase of sdLDL-C is related to the increase the prevalence and the severity of CHD. After adjustment for other risk factors, sdLDL-C was found to be an independent risk factor for CHD. Therefore, measuring sdLDL-C may allow for T2DM patients to predict the presence and severity of CHD.