CC BY 4.0 · Journal of Health and Allied Sciences NU 2024; 14(03): 400-404
DOI: 10.1055/s-0043-1775844
Original Article

Evaluation of Drug Utilization and Dose Intensity Pattern in Dyslipidemic Patients with Type 2 Diabetes Mellitus

Abdul Safwan
1   Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, Karnataka, India
,
Suresh G.
2   Department of General Medicine, K.S. Hegde Medical Academy (KSHEMA), Nitte (Deemed to be University), Mangalore, Karnataka, India
,
1   Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, Karnataka, India
,
1   Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, Karnataka, India
,
Reshma Kolar
3   Department of Biostatistics, K.S. Hegde Medical Academy (KSHEMA), Nitte (Deemed to be University), Mangalore, Karnataka, India
,
1   Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, Karnataka, India
› Institutsangaben
 

Abstract

Dyslipidemia can increase the risk of cardiovascular disease in individuals with metabolic diseases. Patients may have to take multiple medications simultaneously, leading to polypharmacy. A retrospective study was conducted to evaluate drug utilization and dose intensity patterns in dyslipidemic patients with type 2 diabetes mellitus over an 8-month period at a tertiary care hospital. The study included the case sheets of patients diagnosed with dyslipidemia and type 2 diabetes. The required data for the study were collected from the patient's case sheets from the Medical Records Department (from June 2015 to May 2020). The data were documented using MS Excel 2013 and analyzed descriptively using SPSS software version 20. Among the 384 study population, 53% were males and 47% were females, with an age group of 45 to 59 years. Metformin and glimepiride were the most commonly prescribed oral hypoglycemic agents, while glibenclamide was the least prescribed. Atorvastatin was the most prescribed hypolipidemic agent. The combination of atorvastatin and fenofibrate was the most preferred combination therapy. The most frequently prescribed hypoglycemic and hypolipidemic agents were metformin and atorvastatin, respectively. Dyslipidemic patients with diabetes mellitus require the administration of multiple medications. It is crucial to monitor medication adherence and medication-related problems among these populations.


#

Introduction

Dyslipidemia is irregularities in lipid levels, including cholesterol, low-density lipoprotein cholesterol (LDL-C), triglycerides, and high-density lipoprotein (HDL).[1] Cholesterol is a fatty substance synthesized in the liver and obtained from fatty foods like oil, meat, and cheese, which is essential for the body's systematic functioning. Dyslipidemia is characterized by an excess of LDL, triglycerides, total cholesterol, and a deficient in HDL, leading to an abnormal lipid profile. Hyperlipidemia is the term used to describe the metabolic disorder of these lipoproteins. A slight increase in LDL is a warning sign of cardiovascular disease (CVD). Therefore, dyslipidemia is a significant contributor to CVD, along with type 2 diabetes mellitus (T2DM).[2] [3] [4] Recent research indicates that the prevalence of high cholesterol is approximately 25 to 30% in urban areas and 15 to 20% in rural areas, which is lower than in high-income countries.[5] According to a 2008 report by the World Health Organization (WHO), Europe (53.7%) and America (47.7%) exhibit the highest prevalence of hypercholesterolemia in adults, followed by South East Asia (30.3%). Africa, on the other hand, shows a comparatively lower prevalence (23.1%).[6] According to the WHO reports from 2019, 17.9 million people died due to CVD, accounting for approximately 32% of all global deaths.[7]

Statins are the most commonly recommended drugs for managing dyslipidemia and hypercholesterolemia in patients with T2DM, as they can prevent or serve as prophylaxis for CVD.[3] Statins are classified as high intensity and low intensity. High-intensity statin therapy is more commonly used. Other drugs used in the management of dyslipidemia include fibrates such as fenofibrate, bezafibrate, ciprofibrate, and gemfibrozil, and drugs that specifically reduce the intestinal absorption of phytosterols and dietary cholesterol, such as cholestyramine, colesevelam, colestipol, and ezetimibe. Niacin, also known as vitamin B3, PP, or nicotinic acid, substantially increases HDL levels while lowering very LDL (VLDL) levels.[8]

Insulin is widely used to treat diabetes, with approximately 4 out of 10 patients in India using it. South India shows a higher prevalence of dyslipidemia with diabetes compared to North India.[9] Therefore, we intend to analyze the drug utilization and dose intensity pattern of dyslipidemia drugs in patients with diabetes mellitus.


#

Methodology

Study Design

A retrospective study was carried out for a period of 8 months, from September 2021 to May 2022, in the general medicine department of a tertiary care hospital. The study included case sheets of 384 patients. The data needed for the study were collected from the patient's case sheets obtained from the Medical Records Department (from June 2015 to May 2020). The study was initiated after getting permission from the Institutional Ethics Committee (Ref No: NGSMIPS/IEC/11/2021).


#

Sample Size

At 5% level of significance, the anticipated proportion of 0.5, and margin of error of 5% (0.05), the sample size was calculated as 384. The sample size was calculated using the software nMaster version 2.0.


#

Study Population

The study included case sheets of inpatients of either gender above 18 years diagnosed with dyslipidemia with T2DM admitted to the general medicine department. Patients referred to another department, incomplete case records, dyslipidemia drugs used for other treatments, and pregnant women were excluded from the study.


#

Data Collection

The data were collected from medical records. Disease-related information, such as complications, and treatment-related information, including different classes of medications, medications per prescription, and dose, dosage form, and route of administration of the drugs, were extracted from the medical records. Two investigators to ensure the accuracy of the collected data performed the data extraction.


#

Statistical Analysis

The data were analyzed using the Kolmogorov test, which showed that the data were not normally distributed. Chi-square test was used to analyze the data using SPSS software version 20.0.


#
#

Results

In the study, a total of 384 patient records were included from the Medical Records Department. The files were screened using the International Classification of Diseases 10th Revision coding in the Medical Records Department software.

Age and Gender-Wise Distribution of the Study Population

Among the 384 patients, 204 were males (53%) and 179 were females (47%). The age distribution is as follows, 5 patients aged 18 to 29 years, 38 patients aged 30 to 34 years, the greatest number of patients (182) was in the age range of 45 to 59 years, 143 patients were aged 60 to 74 years, and 16 patients were aged 75 years or older.


#

Drug Utilization Pattern of Oral Hypoglycemic Agents

The most commonly prescribed hypoglycemic agent was metformin from the biguanide class, followed by glimepiride from the sulfonylureas class. The least prescribed drug was glibenclamide, also from the sulfonylureas class. Metformin was the most commonly prescribed oral antidiabetic agent, with a defined daily dose (DDD)/100 bed days of 0.0654 ([Tables 1] and [2]).

Table 1

Prescription pattern of antidiabetic agents

Class of drugs

Name of drug

Frequency (n)

Percentage (%)

Biguanides

Metformin

197

51.30

Sulphonylureas

Glimepiride

79

20.57

Gliclazide

5

1.30

Glipizide

5

1.30

Glibenclamide

8

9.37

Alpha glucosidase inhibitor

Voglibose

36

8.33

DPP4 Inhibitors

Teneligliptin

30

7.81

Vildagliptin

7

1.82

Thiazolidinediones

Pioglitazone

17

4.42

Insulin

Human insulin

223

58.07

Insulin aspart

8

2.08

Insulin glargine

43

11.19

Table 2

DDD/100 bed days of antidiabetic agents

Drug name

Dose

Route of administration

ATC code

DDD

DDD/100 bed days

Metformin

500 mg

Oral

A10BA02

2000 mg

0.0654

Glimepiride

2 mg

Oral

A10BB12

2 mg

0.0131

Gliclazide

30 mg

Oral

A10BB09

60 mg

0.0008

Glipizide

5 mg

Oral

A10BB07

10 mg

0.0006

Glibenclamide

5 mg

Oral

A10BB01

10 mg

0.0009

Voglibose

0.3 mg

Oral

A10BF03

0.6 mg

0.0034

Teneligliptin

20 mg

Oral

A10BH08

20 mg

0.0049

Insulin (human)

As per sliding scale

Subcutaneous

A10AB01

40 units

0.0647

Insulin aspart

As per sliding scale

Subcutaneous

A10AD05

40 units

0.0023

Insulin glargine

As per sliding scale

Subcutaneous

A10AE04

40 units

0.0124

Abbreviations: ATC, Anatomical Therapeutic Chemical; DDD, defined daily dose.


Human insulin was the most preferred insulin, accounting for 26.04% of prescriptions, while insulin aspart was the least prescribed at 1.04%. The average DDD/100 bed days of insulin usage was 0.0264.


#

Lipid Profile of the Study Population

The median cholesterol levels (216 mg/dL) in males and females of the study population were the same, and no significant difference was observed between them (p: 0.925), but a significant difference was observed in the VLDL level (p: 0.034) ([Table 3]).

Table 3

Comparison based on gender and lipid profile

Male

Female

Median

IQR

Median

IQR

p-Value

Cholesterol

216.00

(177–242)

216

(178.5–244.5)

0.925

Triglyceride

175.0

(131.0–220)

180

(131.5–236.5)

0.255

HDL

129

(100–177.30)

137.00

(97.5–181.5)

0.824

LDL

39.00

(32–49)

39.70

(30.20–49.0)

0.901

VLDL

32

(22.40–41.20)

35

(24.7–47.10)

0.034

Abbreviations: HDL, high-density lipoprotein; IQR, interquartile range; LDL, low-density lipoprotein; VLDL, very low-density lipoprotein.


In a comparison of lipid profiles across different age groups, significant differences were observed in the VLDL level when comparing the age groups of 30 to 44/60 to 74 (p: 0.031), 30 to 44/≥ 75 (p: 0.002), 45 to 59/60 to 74 (p: 0.000), 45 to 59/≥ 75 (p: 0.000), and 60 to 74/≥ 75 (p: 0.001). Similarly, a significant difference was observed in the total cholesterol levels between the age groups 45 to 59/60 to 74 (p: 0.011) and 45 to 59/≥ 75 (p: 0.032) ([Table 4]).

Table 4

Comparison based on age group and lipid profile

Age group

Cholesterol

Triglyceride

VLDL

U

p-Value

U

p-Value

U

p-Value

30–44/45–59

3715.0

0.606

3708.0

0.593

3879.0

0.929

30–44/60–74

2742.50

0.283

2706.50

0.234

2408.50

0.031

30–44/≥ 75

275.0

0.138

242.50

0.083

158.0

0.002

45–59/60–74

10876.0

0.011

10723.50

0.006

11710.50

0.000

45–59/≥ 75

983.50

0.032

866.0

0.007

412.50

0.000

60–74/≥ 75

979.0

0.345

888.50

0.143

567.0

0.001

Abbreviation: VLDL, very low-density lipoprotein.



#

Dose Intensity Pattern in Hypolipidemic Agents

Among statins, atorvastatin was prescribed at a low-intensity dose in 40.62% of cases, followed by rosuvastatin at a low-intensity dose in 10.41% of cases, simvastatin at a low-intensity dose in 2.60% of cases, and pitavastatin at moderate and high-intensity doses in 1.30% of cases. Fibrates, specifically fenofibrate, were prescribed at moderate and high-intensity doses in 1.56% of cases. Additionally, aspirin, an anticoagulant, was prescribed at moderate and high-intensity doses in 7.55% of cases, while clopidogrel, an antiplatelet drug, was prescribed at moderate and high-intensity doses in 6.51% of cases ([Table 5])

Table 5

Medication approach and dose intensity pattern of hypolipidemic agents

Class of drug

Name of drugs

Intensity of dose

Frequency

Percentage (%)

Statins

Atorvastatin

Low intensity

156

40.62

Rosuvastatin

Low intensity

40

10.41

Simvastatin

Low intensity

10

2.60

Pitavastatin

Moderate and high intensity

5

1.30

Fibrates

Fenofibrate

Moderate and high intensity

6

1.56

Anticoagulant

Aspirin

Moderate and high intensity

29

7.55

Antiplatelet

Clopidogrel

Moderate and high intensity

25

6.51


#

Drug Utilization Pattern of Dyslipidemic Agents

The most prescribed drug for dyslipidemia was atorvastatin, a statin, accounting for 40.62% of prescriptions. The least prescribed statin was pitavastatin, at 1.30%. The combination of atorvastatin and fenofibrate was the most preferred, accounting for 22.65% of prescriptions, while the combination of aspirin, rosuvastatin, and clopidogrel was the least prescribed, accounting for only 1.56% of prescriptions The most frequently prescribed hypolipidemic medication in our study was the combination of atorvastatin with a DDD/100 bed days of 0.0513 ([Table 6]).

Table 6

DDD/100 bed days of hypolipidemic agents

Drug name

Dose

Route of administration

ATC code

DDD

DDD/100 bed days

Atorvastatin

40 mg

Oral

C10AA05

20 mg

0.0513

Rosuvastatin

10 mg

Oral

C10AA07

10 mg

0.0066

Simvastatin

10 mg

Oral

C10AA01

30 mg

0.0016

Pitavastatin

2 mg

Oral

C10AA08

2 mg

0.0008

Fenofibrate

160 mg

Oral

C10AB05

200 mg

0.0007

Aspirin

75 mg

Oral

B01AC06

1 tablet independent of tablet strength

0.0048

Clopidogrel

75 mg

Oral

B01AC04

75 mg

0.0041

Abbreviations: ATC, Anatomical Therapeutic Chemical; DDD, defined daily dose.



#
#

Discussion

The current study analyzed 384 patients' case sheets to determine the characteristics and treatment patterns of individuals with dyslipidemia. A similar pattern was observed in the study conducted by Gazzaz et al[10] and Elnaem et al.[7]

The research revealed a higher prevalence of the disease among males compared to females, which is similar to the findings of Mehta et al.[11] However, it is important to note that the prevalence of the disease can vary depending on the geographical location. Furthermore, the study found a higher prevalence in the age group between 45 and 59, which aligns with the results reported by Gazzaz et al.[10]

Metformin was the most commonly prescribed oral antidiabetic agent, with a DDD/100 bed days of 0.0654, consistent with the findings of the study conducted by Poonam et al[12] and Hannan et al.[13] Among the study population, the most frequently prescribed combination therapy was metformin with glimepiride (17.44%). This finding is similar to the study by Dada et al[14] which reported that biguanides and sulphonylureas were the most frequently prescribed agents (32.8%).

Atorvastatin was the most commonly prescribed drug (40.62%) for patients with hyperlipidemia, consistent with the findings of Raja et al.[15] However, it is important to note that the overall utilization of hypolipidemic medication was relatively low. The most frequently prescribed hypolipidemic medication in our study was the combination of atorvastatin with a DDD/100 bed days of 0.0513. Nevertheless, the Raja et al[15] study reported that atorvastatin along with aspirin was the most frequently prescribed likely due to the presence of comorbid conditions in those patients.

The study found a significant relationship between VLDL levels and gender (p-value 0.034). In contrast, Shahwan et al[16] reported a significant difference in HDL cholesterol (HDL-C). Furthermore, we observed significant variations in cholesterol and triglyceride levels among the age group of 45 to 59 years (p-value 0.026 for cholesterol and p-value 0.007 for triglycerides). Conversely, a study conducted in China by Wei et al[17] reported higher incidences of LDL, total cholesterol, and non-HDL-C in nonelderly patients (< 60 years).

Strength and Limitations

The strength of the study is that we analyzed the medication approach of both antidiabetic and hypolipidemic agents in dyslipidemic patients with diabetes mellitus. However, there were some limitations to the study, including the retrospective design, the limited sample size, and the short duration of the study. Additionally, we did not evaluate the effectiveness of the therapy, which could be done in a larger prospective study over a longer period of time.


#
#

Conclusion

Metformin and glimepiride were the predominant oral hypoglycemic agents prescribed, while human insulin was the preferred option for insulin therapy. Atorvastatin was identified as the most commonly prescribed medication for managing dyslipidemia, often administered at lower dose intensities. The combination of atorvastatin and fenofibrate was frequently prescribed. These findings offer crucial insights to health care professionals, to provide precise treatment approaches for patients.


#
#

Conflict of Interest

None declared.

Acknowledgments

The researchers would like to express their sincere gratitude to the Department of General Medicine and Medical Records Department, Justice K. S. Hegde Charitable Hospital, for their support in the successful completion of the study.

Ethical Approval

The study was approved by the Institutional Ethics Committee, NGSM Institute of Pharmaceutical Sciences, Nitte (Deemed to be University), Karnataka, India (Ref No: NGSMIPS/IEC/11/2021).


  • References

  • 1 Rader DJ, Hoeg JM, Brewer Jr HB. Quantitation of plasma apolipoproteins in the primary and secondary prevention of coronary artery disease. Ann Intern Med 1994; 120 (12) 1012-1025
  • 2 Deepthi S, Babu A, Manjusha K. et al. Prescription pattern analysis of lipid lowering drugs in diabetic dyslipidaemia population in a tertiary care teaching hospital in Kerala. Asian J Pharm Sci 2017;7(01):
  • 3 Demoz GT, Wahdey S, Kasahun GG. et al. Prescribing pattern of statins for primary prevention of cardiovascular diseases in patients with type 2 diabetes: insights from Ethiopia. BMC Res Notes 2019; 12 (01) 386
  • 4 Melaku T, Solomon Y, Chelkeba L. Statin utilization patterns among type 2 diabetes mellitus patients with high cardiovascular disease risks in Ethiopia. J. Pharm. Care 2018; 44-51
  • 5 Gupta R, Rao RS, Misra A, Sharma SK. Recent trends in epidemiology of dyslipidemias in India. Indian Heart J 2017; 69 (03) 382-392
  • 6 Mohamed-Yassin MS, Baharudin N, Abdul-Razak S, Ramli AS, Lai NM. Global prevalence of dyslipidaemia in adult populations: a systematic review protocol. BMJ Open 2021; 11 (12) e049662
  • 7 Elnaem MH, Mohamed MHN, Huri HZ, Shah ASM. Effectiveness and prescription pattern of lipid-lowering therapy and its associated factors among patients with type 2 diabetes mellitus in Malaysian primary care settings. Ther Clin Risk Manag 2019; 15: 137-145
  • 8 Kim G, DeSalvo D, Guffey D. et al. Dyslipidemia in adolescents and young adults with type 1 and type 2 diabetes: a retrospective analysis. Int J Pediatr Endocrinol 2020; 2020 (01) 11
  • 9 Baruah MP, Kalra S, Bose S, Deka J. An audit of insulin usage and insulin injection practices in a large Indian cohort. Indian J Endocrinol Metab 2017; 21 (03) 443-452
  • 10 Gazzaz ZJ, Iftikhar R, Jameel T, Baig M, Murad MA. Association of dyslipidemia and comorbidities with risk factors among diabetic patients: a retrospective analysis. Diabetes Metab Syndr Obes 2020; 13: 935-941
  • 11 Mehta RK, Koirala P, Mallick RL, Parajuli S, Jha R. Dyslipidemia in patients with type 2 diabetes mellitus in a tertiary care centre: a descriptive cross-sectional study. JNMA J Nepal Med Assoc 2021; 59 (236) 305-309
  • 12 Poonam T, Awanish P, Rishabh P, Shambaditya G, Rashmi S. Drug use evaluation in diabetic patients at out patient department Gorakhpur. Arch Pharm Pract (Mumbai) 2010; 1 (02) 5-7
  • 13 Hannan A, Sinha SR, Ganiyani MA, Pustake M, Hannan AG. Drug utilization study of antidiabetic drugs in patients attending geriatric outpatient department at a tertiary care hospital. Cureus 2021; 13 (08) e17555
  • 14 Dada AO, Ogundele SO, Amisu MA, Williams A. Prescription pattern and treatment target in patients with type 2 diabetes attending a tertiary health center in Lagos. J Diabetol. 2021; 12 (01) 36-40
  • 15 Raja S, Mohapatra S, Kumar JS, Rani RJ. Prescription patterns of hypolipidaemic drugs in a tertiary care teaching hospital of southern India. J Clin Diagn Res 2014; 8 (04) HC01-HC03
  • 16 Shahwan MJ, Jairoun AA, Farajallah A, Shanabli S. Prevalence of dyslipidemia and factors affecting lipid profile in patients with type 2 diabetes. Diabetes Metab Syndr 2019; 13 (04) 2387-2392
  • 17 Wei Y, Qi B, Xu J. et al. Age- and sex-related difference in lipid profiles of patients hospitalized with acute myocardial infarction in East China. J Clin Lipidol 2014; 8 (06) 562-567

Address for correspondence

Juno Jerold Joel, M Pharm, MBA, PhD
Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University)
Mangalore 575018, Karnataka
India   

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08. November 2023

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  • References

  • 1 Rader DJ, Hoeg JM, Brewer Jr HB. Quantitation of plasma apolipoproteins in the primary and secondary prevention of coronary artery disease. Ann Intern Med 1994; 120 (12) 1012-1025
  • 2 Deepthi S, Babu A, Manjusha K. et al. Prescription pattern analysis of lipid lowering drugs in diabetic dyslipidaemia population in a tertiary care teaching hospital in Kerala. Asian J Pharm Sci 2017;7(01):
  • 3 Demoz GT, Wahdey S, Kasahun GG. et al. Prescribing pattern of statins for primary prevention of cardiovascular diseases in patients with type 2 diabetes: insights from Ethiopia. BMC Res Notes 2019; 12 (01) 386
  • 4 Melaku T, Solomon Y, Chelkeba L. Statin utilization patterns among type 2 diabetes mellitus patients with high cardiovascular disease risks in Ethiopia. J. Pharm. Care 2018; 44-51
  • 5 Gupta R, Rao RS, Misra A, Sharma SK. Recent trends in epidemiology of dyslipidemias in India. Indian Heart J 2017; 69 (03) 382-392
  • 6 Mohamed-Yassin MS, Baharudin N, Abdul-Razak S, Ramli AS, Lai NM. Global prevalence of dyslipidaemia in adult populations: a systematic review protocol. BMJ Open 2021; 11 (12) e049662
  • 7 Elnaem MH, Mohamed MHN, Huri HZ, Shah ASM. Effectiveness and prescription pattern of lipid-lowering therapy and its associated factors among patients with type 2 diabetes mellitus in Malaysian primary care settings. Ther Clin Risk Manag 2019; 15: 137-145
  • 8 Kim G, DeSalvo D, Guffey D. et al. Dyslipidemia in adolescents and young adults with type 1 and type 2 diabetes: a retrospective analysis. Int J Pediatr Endocrinol 2020; 2020 (01) 11
  • 9 Baruah MP, Kalra S, Bose S, Deka J. An audit of insulin usage and insulin injection practices in a large Indian cohort. Indian J Endocrinol Metab 2017; 21 (03) 443-452
  • 10 Gazzaz ZJ, Iftikhar R, Jameel T, Baig M, Murad MA. Association of dyslipidemia and comorbidities with risk factors among diabetic patients: a retrospective analysis. Diabetes Metab Syndr Obes 2020; 13: 935-941
  • 11 Mehta RK, Koirala P, Mallick RL, Parajuli S, Jha R. Dyslipidemia in patients with type 2 diabetes mellitus in a tertiary care centre: a descriptive cross-sectional study. JNMA J Nepal Med Assoc 2021; 59 (236) 305-309
  • 12 Poonam T, Awanish P, Rishabh P, Shambaditya G, Rashmi S. Drug use evaluation in diabetic patients at out patient department Gorakhpur. Arch Pharm Pract (Mumbai) 2010; 1 (02) 5-7
  • 13 Hannan A, Sinha SR, Ganiyani MA, Pustake M, Hannan AG. Drug utilization study of antidiabetic drugs in patients attending geriatric outpatient department at a tertiary care hospital. Cureus 2021; 13 (08) e17555
  • 14 Dada AO, Ogundele SO, Amisu MA, Williams A. Prescription pattern and treatment target in patients with type 2 diabetes attending a tertiary health center in Lagos. J Diabetol. 2021; 12 (01) 36-40
  • 15 Raja S, Mohapatra S, Kumar JS, Rani RJ. Prescription patterns of hypolipidaemic drugs in a tertiary care teaching hospital of southern India. J Clin Diagn Res 2014; 8 (04) HC01-HC03
  • 16 Shahwan MJ, Jairoun AA, Farajallah A, Shanabli S. Prevalence of dyslipidemia and factors affecting lipid profile in patients with type 2 diabetes. Diabetes Metab Syndr 2019; 13 (04) 2387-2392
  • 17 Wei Y, Qi B, Xu J. et al. Age- and sex-related difference in lipid profiles of patients hospitalized with acute myocardial infarction in East China. J Clin Lipidol 2014; 8 (06) 562-567