Dataset Information

Glycaemic, blood pressure and low-density lipoprotein-cholesterol control among patients with diabetes mellitus in a specialised clinic in Botswana: a cross-sectional study.

ABSTRACT:

Objective

Control of glycaemic, hypertension and low-density lipoprotein-cholesterol (LDL-C) among patients with type 2 diabetes mellitus (T2DM) is vital for the prevention of cardiovascular diseases. The current study was an audit of glycaemic, hypertension and LDL-C control among ambulant patients with T2DM in Botswana. Also, the study aimed at assessing factors associated with attaining optimal glycaemic, hypertension and LDL-C therapeutic goals.

Design

A cross-sectional study.

Setting

A specialised public diabetes clinic in Gaborone, Botswana.

Participants

Patients with T2DM who had attended the clinic for ≥3 months between August 2017 and February 2018.

Primary outcome measure

The proportion of patients with optimal glycaemic (HbA1c<7%), hypertension (blood pressure <140/90 mm Hg) and LDL-C (<1.8 mmol/L) control.

Results

The proportions of patients meeting optimal targets were 32.3% for glycaemic, 54.2% for hypertension and 20.4% for LDL-C. Age≥ 50 years was positively associated with optimal glycaemic control (adjusted OR [AOR] 5.79; 95% CI 1.08 to 31.14). On the other hand, an increase in diabetes duration was inversely associated with optimal glycemic control (AOR 0.91; 95% CI 0.85 to 0.98). Being on an ACE inhibitor was inversely associated with optimal hypertension control (AOR 0.35; 95% CI 0.14 to 0.85). Being female was inversely associated with optimal LDL-C control (AOR 0.24; 95% CI (0.09 - 0.59).

Conclusion

Patients with T2DM in Gaborone, Botswana, presented with suboptimal control of recommended glycaemic, hypertension and LDL-C targets. These findings call for urgent individual and health systems interventions to address key determinants of the recommended therapeutic targets among patients with diabetes in this setting.

SUBMITTER: Mwita JC

PROVIDER: S-EPMC6661581 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Glycaemic, blood pressure and low-density lipoprotein-cholesterol control among patients with diabetes mellitus in a specialised clinic in Botswana: a cross-sectional study.

Mwita Julius Chacha JC Francis Joel M JM Omech Bernard B Botsile Elizabeth E Oyewo Aderonke A Mokgwathi Matshidiso M Molefe-Baikai Onkabetse Julia OJ Godman Brian B Tshikuka Jose-Gaby JG

BMJ open 20190723 7

<h4>Objective</h4>Control of glycaemic, hypertension and low-density lipoprotein-cholesterol (LDL-C) among patients with type 2 diabetes mellitus (T2DM) is vital for the prevention of cardiovascular diseases. The current study was an audit of glycaemic, hypertension and LDL-C control among ambulant patients with T2DM in Botswana. Also, the study aimed at assessing factors associated with attaining optimal glycaemic, hypertension and LDL-C therapeutic goals.<h4>Design</h4>A cross-sectional study. ...[more]

PMID: 31340960

Similar Datasets

Project description:BackgroundThe non-high-density lipoprotein cholesterol (non-HDL-C)-to-high-density lipoprotein cholesterol (HDL-C) ratio (NHHR) is a strong lipid marker that has been associated with atherogenic features. This study aimed to investigate the potential association between the NHHR and gout prevalence.MethodsThis study investigated the relationship between the NHHR and gout by analyzing data gathered from the National Health and Nutrition Examination Survey (NHANES), a research study conducted in the United States from 2007 to 2018. All participants in NHANES provided written informed consent prior to participation. The NHHR was calculated as the ratio of non-HDL-C to HDL-C. Total cholesterol (TC) and HDL-C levels were sourced from NHANES laboratory data. Gout was assessed using a questionnaire. Weighted logistic regression analysis, subgroup analysis, and smoothed curve fitting were performed.ResultsThis study included 30,482 participants. The fully adjusted models showed that for each unit increase in NHHR in continuous variables, there was a 10% higher likelihood of gout prevalence (OR: 1.10, 95% CI: 1.05, 1.16). Analysis of the NHHR quartiles revealed that patients in the highest quartile had a notably greater probability of developing gout than those in the lowest quartile. (Q4 vs. Q1, OR: 1.34, 95% CI: 1.05, 1.71). Subgroup analyses yielded consistent results across categories, indicating a significant positive association between the NHHR and gout. E-value analysis suggested robustness to unmeasured confounding. Interaction tests showed that the race, education level, marital relationship, poverty-income ratio (PIR), hypertension, smoking habits, estimated glomerular filtration rate (eGFR), lipid-lowering therapy, and diabetes had no discernible effects on this association. The p-values for all the interactions were > 0.05. Nevertheless, the relationship between the NHHR and gout was significantly affected by the age and sex of the participants (interaction p < 0.05).ConclusionAmong adults in the United States, elevated NHHR levels are correlated with increased odds of gout prevalence.

Project description:Background: Heart failure is a frequent complication of type 2 diabetes mellitus (T2DM). Plasma cholesterol, particularly the proatherogenic low-density lipoprotein (LDL) cholesterol, impairs heart function by promoting atheroma formation and ventricular dysfunction. Considering the established effect of cholesterol on the cardiovascular system, we hypothesized that plasma LDL cholesterol may influence left ventricular function in individuals with T2DM. Methods: This cross-sectional study was conducted at a tertiary care hospital in Taiwan. Enrollment criteria were patients exceeding 21 years of age with T2DM who received antidiabetic and cholesterol-lowering medications. Candidates were excluded if they had heart failure, acute cardiovascular events, or familial hypercholesterolemia. Participants received blood sampling for plasma lipids after a 12-h fast, followed by transthoracic echocardiography in the cardiology clinic. Results: The study enrolled 118 participants who were divided into two groups according to their plasma LDL cholesterol levels. Demographic characteristics including age (69.7 vs. 66.9 years, P = 0.159), body mass index (26.2 vs. 25.9 kg/m2, P = 0.66), diabetes duration (5.4 vs. 5.1 years, P = 0.48), hemoglobin A1c (7.2 vs. 7.5%, P = 0.225), and systolic blood pressure (129 vs. 130 mm Hg, P = 0.735) were similar between these groups. Moreover, all participants received similar antihypertensive medications. Participants with lower plasma LDL cholesterol levels had better heart function, as measured by the left ventricular ejection fraction (LVEF), than patients with higher LDL cholesterol levels (58.0 vs. 50.5%, P = 0.022). Multivariate regression analysis also showed an inverse correlation between plasma LDL cholesterol and left ventricular function (β coefficient: -0.110, P = 0.024). Conclusion: This study observed an inverse correlation between plasma LDL cholesterol and heart function in individuals with T2DM. Patients with higher levels of plasma LDL cholesterol had worse left ventricular function. Therefore, plasma LDL cholesterol may be a modifiable risk factor of heart failure in diabetes, but prospective studies are necessary to confirm this finding.

Project description:AimTo explore the association between the non-high-density lipoprotein cholesterol (HDL-C)/HDL-C ratio (NHHR) and the risk of major adverse cardiovascular events (MACEs) and overall mortality in patients with type 2 diabetes mellitus (T2DM).Materials and methodsNHHR, calculated as (total cholesterol - HDL-C)/HDL-C, was evaluated in 10,188 participants. Cox proportional hazard regression models were employed to assess the association of NHHR with future risk of MACEs and overall mortality. Restricted cubic spline analysis, smooth curve fitting and piecewise regression models were utilized to explore the non-linear correlation and establish the threshold. Subgroup and interaction analyses verified the robustness of the findings. The area under the receiver operating characteristic area under the curve assessed the additional predictive value of NHHR beyond conventional risk factors.ResultsAfter adjusting for confounding factors, each 1-unit increase in NHHR was associated with a 12% increased risk of MACEs (hazard ratio [HR]: 1.12, 95% confidence interval [CI]: 1.07-1.16; p < 0.0001), a 5% increase in overall mortality (HR: 1.05, 95% CI: 1.01-1.10; p = 0.0256), a 10% increase in cardiovascular disease mortality (HR 1.10, 95% CI: 1.03-1.18; p = 0.0074), an 12% increase in non-fatal myocardial infarction (HR: 1.12, 95% CI: 1.05-1.18; p = 0.0002), and an 11% increase in non-fatal stroke (HR: 1.11, 95% CI: 1.02-1.20; p = 0.0123). Analyses showed a non-linear relationship between NHHR and MACEs in patients with T2DM (non-linearity p < 0.001). A two-stage linear regression model identified a threshold for MACEs at 6.28. Integration NHHR into the conventional model significantly enhanced predictive accuracy for MACEs.ConclusionsNHHR is a predictor of the risk of developing MACEs and overall mortality in patients with T2DM, with higher NHHR values independently associated with increased future MACE risks after full adjustment for confounders.

Dataset Information

Glycaemic, blood pressure and low-density lipoprotein-cholesterol control among patients with diabetes mellitus in a specialised clinic in Botswana: a cross-sectional study.

Objective

Design

Setting

Participants

Primary outcome measure

Results

Conclusion

Publications

Glycaemic, blood pressure and low-density lipoprotein-cholesterol control among patients with diabetes mellitus in a specialised clinic in Botswana: a cross-sectional study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets