Dyslipidemia among patients with type 2 diabetes in Jordan: Prevalence, pattern, and associated factors

Hyassat, Dana; Al-Saeksaek, Saba; Naji, Duha; Mahasneh, Awn; Khader, Yousef; Abujbara, Mousa; El‐khateeb, Mohammad; Ajlouni, Kamel

doi:10.3389/fpubh.2022.1002466

Cited by 10 publications

(5 citation statements)

References 42 publications

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“…The majority of participants 51% (122) had a duration of disease of fewer than six years and among them 75% (91) had dyslipidemia. Similar results were observed by Hyassat et al [12].…”

Section: Discussionsupporting

confidence: 92%

“…Borle et al discovered that 28% (14) of participants exhibited isolated lipid profile abnormalities, while 58% (29) had combined and mixed lipid profile abnormalities [8]. According to Hyassat et al, 62.48% (493) of participants had combined and mixed deranged lipid profiles and 27.8% (220) had isolated lipid profile abnormality [12]. A study by Sarfraz et al also observed that 34% (68) participants had isolated and 66% (132) had combined and mixed dyslipidemia [17].…”

Section: Discussionmentioning

confidence: 99%

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Utilization of Hypolipidemic Drugs, Patterns, and Factors Affecting Dyslipidemia Among Type 2 Diabetes Mellitus at a Tertiary Care Teaching Hospital in South India

Khot¹,

Chakraborty²,

Vijaykumar³

2023

Cureus

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BackgroundThe prevalence of dyslipidemia is higher in type 2 diabetes mellitus (T2DM) and hypolipidemic drugs like statins are effective for the primary and secondary prevention of cardiovascular events. Most of the patients with type 2 diabetes have a mixed type of dyslipidemia. This study aimed to evaluate the utilization of hypolipidemic drugs, patterns, and factors affecting dyslipidemia in T2DM participants. MethodsThis cross-sectional observational study was approved by the institutional ethics committee (IEC) of the Vydehi Institute of Medical Sciences and Research Center. It was conducted for a period of one year from July 2021 to June 2022. Participants with T2DM visiting the Department of General Medicine and Endocrinology were enrolled after obtaining informed consent. Demographic details, medication history, and laboratory data were recorded in case report form and statistical measures were applied. ResultsOut of 237 participants enrolled in the study, the predominance (n=133, 56%) was males. The mean age of the study population was 47.92±9.17 years, and the mean duration of diabetes was 6.8±5.3 years. Out of the total participants, 164 (69%) had deranged lipid profiles. Out of them, 129 (78.65%) were on hypolipidemic drugs. Regarding drug utilization, 122 (94.6%) received statins either rosuvastatin (54%) or atorvastatin (40%). In the deranged lipid profiles pattern, 24% (58) participants had one abnormal lipid parameter and the majority 70% (166) had combined lipid profile abnormality. Factors like increased BMI were significantly associated with dyslipidemia (p=0.004). Utilization of hypolipidemic drugs was also significantly associated with the control of dyslipidemia (p<0.001). It was observed that participants who were not on lipid-lowering drugs had 5.38 times more chance of dyslipidemia (OR=5.38; CI=2.82-10.28; p<0.001). ConclusionA high prevalence of dyslipidemia was observed among diabetic patients. Statins were the most prescribed drug in the study. BMI and lack of pharmacotherapy were found to have a statistically significant association with dyslipidemia in diabetic patients.

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“…The majority of participants 51% (122) had a duration of disease of fewer than six years and among them 75% (91) had dyslipidemia. Similar results were observed by Hyassat et al [12].…”

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Utilization of Hypolipidemic Drugs, Patterns, and Factors Affecting Dyslipidemia Among Type 2 Diabetes Mellitus at a Tertiary Care Teaching Hospital in South India

Khot¹,

Chakraborty²,

Vijaykumar³

2023

Cureus

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“…The dyslipidemic triad was defined as the simultaneous presence of elevated TG, reduced HDL-C, and increased levels of low-dens LDL-C. In the Jordanian population, it was evident from multiple cohort studies that advanced age, hypertension, smoking status, poor lipid profile, obesity, DM, and others are major risk factors for developing ASCVDs [ 13 , 14 , 51 , 52 ].…”

Section: Resultsmentioning

confidence: 99%

A Jordanian Multidisciplinary Consensus Statement on the Management of Dyslipidemia

Al Mousa,

Al-Azzam,

Araydah

et al. 2023

JCM

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Atherosclerotic cardiovascular disease (ASCVD) is the primary contributor to global mortality rates, which significantly escalates healthcare expenditures. Risk factors for ASCVD (including dyslipidemia) frequently present in clusters rather than separately. Addressing these risk factors is crucial in the early initiation of a comprehensive management plan that involves both lifestyle modifications and pharmacotherapy to reduce the impact of ASCVD. A team of Jordanian professionals from various medical organizations and institutes took the initiative to create a set of guidelines for dyslipidemia screening and therapy. A detailed, comprehensive literature review was undertaken utilizing several databases and keywords. This consensus statement provides recommendations for dyslipidemia management in Jordanians on several issues including cardiovascular risk estimation, screening eligibility, risk categories, treatment goals, lifestyle changes, and statin and non-statin therapies. It is recommended that all Jordanian individuals aged 20 years old or older undergo lipid profile testing. This should be followed by determining the level of cardiovascular risk depending on the presence or absence of ASCVD and cardiovascular risk factors, eligibility for lipid-lowering therapy, and the target low-density cholesterol serum level to be achieved. In conclusion, prioritizing the management of dyslipidemia is of the utmost importance in improving public health and reducing the burden of cardiovascular diseases.

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“…19,20 Unlike the results of this study, other research revealed that the age of type 2 diabetic patients was significantly linked with elevated LDL-C and hypertriglyceridemia. 21 The difference may be due to the study populations. Thus, extensive research would unknot the paradox.…”

Section: Correlation Between High-density Lipoprotein and Blood Glucosementioning

confidence: 99%

“…These findings agree with those reported in several other studies providing further evidence that in poor glycemic control, the likelihood of a high concentration of LDL-C would be increased. 20,21,39 Therefore, blood glucose could be utilized to predict the level of LDL-C in diabetic patients because blood glucose can cause the defect of LDL which leads to the formation of plaque inside the artery.…”

Section: Association Of Blood Glucose and Ldl-c Concentrationsmentioning

confidence: 99%

Association of Blood Glucose and Lipid Profile Concentrations in Diabetic Patients Attending Gisenyi District Hospital in Rwanda: A Cross-Sectional Study

2024

EASci

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Background: Poor glycemic monitoring of type 2 diabetes mellitus has been linked with dyslipidemia and this led to an augmentation of mortality in diabetic patients. This study assessed the association of blood glucose and serum lipid concentrations in type 2 diabetic patients at Gisenyi District Hospital in Rwanda. Methods: This investigation was cross-sectional and used the Cochran formula (n = Z 2 PQ/d 2 ) to estimate the number of participants. Predisposing aspects of dyslipidemia such as age, gender, blood pressure, and BMI were obtained from the participants. Blood glucose was tested in capillary blood samples using Accu-Check Aviva and lipid profiles were checked in blood serum drawn from each participant, using Cobas C311. Ranges for dyslipidemia considered were: TC < 200 mg/dl, TG < 150 mg/dl, LDL-C < 100 mg/dl, 51-60 mg/dl for females, and HDL-C 41-60 mg/ dl for males. A transformed Friedewald formula was utilized to quantify LDL-C. The chi-square test (X 2 ) was considered to investigate the association between categorical variables, whereas Pearson's coefficient was utilized to find out the correlation between continuous variables. Results: A significant association was noted between the BMI and hyper TC (X 2 = 9.936; p =.001), hyper TG (X 2 = 10.761; p = .001), and hyper LDL-C (X 2 = 10.410; p = .001), whereas the association was not significant with low HDL-C (X 2 = 2.416; p = .137). A positive significant correlation was noticed between blood glucose and TC (r = 0.678, p = 0.000) and between blood glucose and LDL-C (r = 0.293, p = .039). A positive no-significant association was noted between blood glucose and TG (r = 0.163, p = .259), whereas a negative no-significant link was between blood glucose and decreased HDL-C (r = -0.126 p = .381). Conclusion: A significant association was noted between the BMI and TG, TC, and LDL-C, but the link with HDL-C was not significant as it was for age, gender, and blood pressure with serum lipids. Blood glucose levels were positively linked with TG, TC, and LDL-C levels, but negatively linked with HDL-C. Thus, poor control of type 2 diabetes results in increased serum concentrations of harmful lipids.

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Dyslipidemia among patients with type 2 diabetes in Jordan: Prevalence, pattern, and associated factors

Cited by 10 publications

References 42 publications

Utilization of Hypolipidemic Drugs, Patterns, and Factors Affecting Dyslipidemia Among Type 2 Diabetes Mellitus at a Tertiary Care Teaching Hospital in South India

Utilization of Hypolipidemic Drugs, Patterns, and Factors Affecting Dyslipidemia Among Type 2 Diabetes Mellitus at a Tertiary Care Teaching Hospital in South India

A Jordanian Multidisciplinary Consensus Statement on the Management of Dyslipidemia

Association of Blood Glucose and Lipid Profile Concentrations in Diabetic Patients Attending Gisenyi District Hospital in Rwanda: A Cross-Sectional Study

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