PMID- 31239693
OWN - NLM
STAT- MEDLINE
DCOM- 20190717
LR  - 20221207
IS  - 1178-2048 (Electronic)
IS  - 1176-6344 (Print)
IS  - 1176-6344 (Linking)
VI  - 15
DP  - 2019
TI  - High level of individual lipid profile and lipid ratio as a predictive marker of 
      poor glycemic control in type-2 diabetes mellitus.
PG  - 149-157
LID - 10.2147/VHRM.S209830 [doi]
AB  - Introduction: Diabetes is often accompanied by undiagnosed dyslipidemia. The aim 
      of the study is to investigate the clinical relevance of lipid profiles and lipid 
      ratios as predictive biochemical models for glycemic control in patients with 
      type 2 diabetes mellitus (T2DM). Methods: This is a retrospective study 
      recruiting 140 patients with T2DM during a one-year period, 2018-2019, at the 
      Diabetic Center Sanglah General Hospital and Internal Medicine Polyclinic Puri 
      Raharja General Hospital. Demographic characteristics, glycosylated hemoglobin 
      (HBA1c) , and lipid profile were recorded and analyzed using SPSS version 25.0 
      for Windows. The sample is then classified into good (HBA1c</=7) and poor (HBA1c>7) 
      glycemic control. Risk analysis model, receiver operator characteristics (ROC) 
      analysis, and correlation test were used to evaluate the association of HBA1c 
      level with lipid profile and lipid ratio parameters. Result: Lipid profile 
      findings such as total cholesterol (TC), low-density lipoprotein cholesterol 
      (LDL-C) , triglycerides (TG), and lipid ratio parameter (LDL-C to high-density 
      lipoprotein cholesterol (HDL-C) ratio) were higher in patients in the poor 
      glycemic control group (p<0.05) and HDL-C was significantly lower in patients 
      with poor glycemic control (p=0.001). There is a significant positive correlation 
      between LDL, total cholesterol, LDL-C, TG, and TC to HDL-C ratio, triglycerides, 
      and TC/HDL-C ratio with HBA1c level. Meanwhile, a negative correlation was 
      observed on HDL-C with the HBA1c level. Only TC/HDL-C ratio and LDL-C/HDL-C ratio 
      parameters may be used as predictive models (AUC>0.7), with cutoff point, 
      sensitivity, and specificity of 4.68 (77%; 52%) and 3.06 (98%; 56%) respectively. 
      A risk analysis model shows that the LDL-C/HDL-C ratio parameter is the most 
      influential risk factor in the occurrence of poor glycemic control (adjusted OR 
      =38.76; 95% CI: 27.32-56.64; p<0.001). Conclusion: Lipid profiles (LDL-C) and 
      lipid ratios (LDL-C/HDL-C and TC/HDL-C ratio) show potential markers that can be 
      used in predicting glycemic control in patients with T2DM.
FAU - Artha, I Made Junior Rina
AU  - Artha IMJR
AD  - Department of Cardiology and Vascular Medicine, Faculty of Medicine, Udayana 
      University, Sanglah General Hospital, Denpasar, Bali, Indonesia.
FAU - Bhargah, Agha
AU  - Bhargah A
AD  - Department of Cardiology and Vascular Medicine, Faculty of Medicine, Udayana 
      University, Sanglah General Hospital, Denpasar, Bali, Indonesia.
AD  - Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
FAU - Dharmawan, Nyoman Khrisna
AU  - Dharmawan NK
AD  - Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
FAU - Pande, Utami Wijayaswari
AU  - Pande UW
AD  - Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
FAU - Triyana, Komang Agus
AU  - Triyana KA
AD  - Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
FAU - Mahariski, Pande Agung
AU  - Mahariski PA
AD  - Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
FAU - Yuwono, Jessica
AU  - Yuwono J
AD  - Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
FAU - Bhargah, Varennia
AU  - Bhargah V
AD  - Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
FAU - Prabawa, I Putu Yuda
AU  - Prabawa IPY
AD  - Clinical Pathology Department, Faculty of Medicine, Udayana University, Sanglah 
      General Hospital, Denpasar, Bali, Indonesia.
FAU - Manuaba, Ida Bagus Amertha Putra
AU  - Manuaba IBAP
AD  - International Ph.D Program in Medicine, College of Medicine, Taipei Medical 
      University, Taipei, Taiwan.
AD  - Medical and Health Education Unit, Faculty of Medicine, Udayana University, 
      Denpaser, Bali, Indonesia.
FAU - Rina, I Ketut
AU  - Rina IK
AD  - Cardiology Department, Puri Raharja General Hospital, Denpasar, Bali, Indonesia.
LA  - eng
PT  - Journal Article
DEP - 20190605
PL  - New Zealand
TA  - Vasc Health Risk Manag
JT  - Vascular health and risk management
JID - 101273479
RN  - 0 (Biomarkers)
RN  - 0 (Blood Glucose)
RN  - 0 (Cholesterol, HDL)
RN  - 0 (Cholesterol, LDL)
RN  - 0 (Glycated Hemoglobin A)
RN  - 0 (Lipids)
RN  - 0 (Triglycerides)
RN  - 0 (hemoglobin A1c protein, human)
SB  - IM
MH  - Biomarkers/blood
MH  - Blood Glucose/*metabolism
MH  - Cholesterol, HDL/blood
MH  - Cholesterol, LDL/blood
MH  - Diabetes Mellitus, Type 2/*blood/diagnosis
MH  - Dyslipidemias/*blood/diagnosis
MH  - Female
MH  - Glycated Hemoglobin/*metabolism
MH  - Humans
MH  - India
MH  - Lipids/*blood
MH  - Male
MH  - Middle Aged
MH  - Retrospective Studies
MH  - Triglycerides/blood
PMC - PMC6560183
OTO - NOTNLM
OT  - diabetes
OT  - dyslipidemia
OT  - glycemic
OT  - risk
COIS- The authors declare there are no conflicts of interest regarding all elements in 
      this study.
EDAT- 2019/06/27 06:00
MHDA- 2019/07/18 06:00
PMCR- 2019/06/05
CRDT- 2019/06/27 06:00
PHST- 2019/03/24 00:00 [received]
PHST- 2019/05/03 00:00 [accepted]
PHST- 2019/06/27 06:00 [entrez]
PHST- 2019/06/27 06:00 [pubmed]
PHST- 2019/07/18 06:00 [medline]
PHST- 2019/06/05 00:00 [pmc-release]
AID - 209830 [pii]
AID - 10.2147/VHRM.S209830 [doi]
PST - epublish
SO  - Vasc Health Risk Manag. 2019 Jun 5;15:149-157. doi: 10.2147/VHRM.S209830. 
      eCollection 2019.