scholarly journals Poorer Attainment of Hemoglobin A1C, Blood Pressure and LDL-Cholesterol Goals among Younger Adults with Type 2 Diabetes

2021 ◽  
Vol 50 (12) ◽  
pp. 3631-3645
Author(s):  
Sui Wan Kim ◽  
Noran Naqiah Hairi ◽  
Feisul Idzwan Mustapha ◽  
Khalijah Mohd Yusof ◽  
Zainudin Mohd Ali ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Ldl Cholesterol ◽  
Age Groups ◽  
Multivariate Logistic Regression Analysis ◽  
Lipid Lowering ◽  
Haemoglobin A1c ◽  
Younger Adults ◽  
Targeted Interventions

Concurrent attainment of glycated haemoglobin A1C, blood pressure, and LDL-cholesterol goals, or collectively known as the ‘ABC’ goals, help prevent cardiovascular complications in patients with type 2 diabetes (T2D). We aimed to determine the proportion of T2D patients who achieved all three ABC goals in Malaysia’s public health clinics. We also determined the association between age groups with the attainment of all the ABC goals. A cross-sectional analysis of the baseline findings from a retrospective open cohort study between 2013 and 2017 in Negeri Sembilan, Malaysia was conducted. The data was extracted from the National Diabetes Registry. The primary outcome was the proportion of patients who attained all three ABC goals. The exposure of interest was patients’ age groups, namely 18-44, 45-59 and ≥ 60 years. Multivariate logistic regression analysis was used to adjust demographics factors, comorbidities, complications and treatment profiles. Among 17,592 patients, the mean age was 59.1 years, with 56.3% females and 64.9% Malays. Overall, 4.5% (95% CI: 4.2-4.8) of the patients attained all the ABC goals. Compared to older adults aged ≥ 60 years, patients aged 18-44 and 45-59 years had adjusted odds ratios of 0.50 and 0.72, respectively, to achieve all the ABC goals. Ethnicity, body mass index, diabetes treatment modality, lipid-lowering agent and polypharmacy were independent factors associated with the outcome. In summary, achieving all the ABC goals in T2D patients is challenging, especially among younger adults. Our findings suggest that more targeted interventions should be directed towards this high-risk subpopulation.

scholarly journals Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kim Sui Wan ◽  
Noran Naqiah Hairi ◽  
Feisul Idzwan Mustapha ◽  
Khalijah Mohd Yusof ◽  
Zainudin Mohd Ali ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Insulin Treatment ◽  
Age Groups ◽  
Antihypertensive Agents ◽  
Glycosylated Haemoglobin ◽  
Haemoglobin A1c ◽  
Targeted Interventions ◽  
Younger Age ◽  
Diabetes Patients

AbstractGood control of glycosylated haemoglobin A1C in diabetes patients prevents cardiovascular complications. We aim to describe the A1C trend and determine the predictors of the trend among type 2 diabetes patients in Malaysia. Longitudinal data in the National Diabetes Registry from 2013 to 2017 were analysed using linear mixed-effects modelling. Among 17,592 patients, 56.3% were females, 64.9% Malays, and the baseline mean age was 59.1 years. The U-shaped A1C trend changed marginally from 7.89% in 2013 to 8.07% in 2017. The A1C excess of 1.07% as reported in 2017 represented about 22% higher risk of diabetes-related death, myocardial infarction, and stroke, which are potentially preventable. The predictors for higher baseline A1C were non-Chinese ethnicity, younger age groups, longer diabetes duration, patients on insulin treatment, polypharmacy use, patients without hypertension, and patients who were not on antihypertensive agents. Younger age groups predicted a linear increase in the A1C trend, whereas patients on insulin treatment predicted a linear decrease in the A1C trend. Specifically, the younger adults and patients of Indian and Malay ethnicities had the poorest A1C trends. Targeted interventions should be directed at these high-risk groups to improve their A1C control.

scholarly journals Is therapeutic inertia present in hyperglycaemia, hypertension and hypercholesterolaemia management among adults with type 2 diabetes in three health clinics in Malaysia? a retrospective cohort study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Boon-How Chew ◽  
Husni Hussain ◽  
Ziti Akthar Supian
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Ldl Cholesterol ◽  
Therapeutic Inertia ◽  
Treatment Targets ◽  
Health Clinics

Abstract Background Good-quality evidence has shown that early glycaemic, blood pressure and LDL-cholesterol control in people with type 2 diabetes (T2D) leads to better outcomes. In spite of that, diseases control have been inadequate globally, and therapeutic inertia could be one of the main cause. Evidence on therapeutic inertia has been lacking at primary care setting. This retrospective cohort study aimed to determine the proportions of therapeutic inertia when treatment targets of HbA1c, blood pressure and LDL-cholesterol were not achieved in adults with T2D at three public health clinics in Malaysia. Methods The index prescriptions were those that when the annual blood tests were reviewed. Prescriptions of medication were verified, compared to the preceding prescriptions and classified as 1) no change, 2) stepping up and 3) stepping down. The treatment targets were HbA1c < 7.0% (53 mmol/mol), blood pressure (BP) < 140/90 mmHg and LDL-cholesterol < 2.6 mmol/L. Therapeutic inertia was defined as no change in the medication use in the present of not reaching the treatment targets. Descriptive, univariable, multivariable logistic regression and sensitive analyses were conducted. Results A total of 552 cohorts were available for the assessment of therapeutic inertia (78.9% completion rate). The mean (SD) age and diabetes duration were 60.0 (9.9) years and 5.0 (6.0) years, respectively. High therapeutic inertia were observed in oral anti-diabetic (61–72%), anti-hypertensive (34–65%) and lipid-lowering therapies (56–77%), and lesser in insulin (34–52%). Insulin therapeutic inertia was more likely among those with shorter diabetes duration (adjusted OR 0.9, 95% CI 0.87, 0.98). Those who did not achieve treatment targets were less likely to experience therapeutic inertia: HbA1c ≥ 7.0%: adjusted OR 0.10 (0.04, 0.24); BP ≥ 140/90 mmHg: 0.28 (0.16, 0.50); LDL-cholesterol ≥ 2.6 mmol/L: 0.37 (0.22, 0.64). Conclusions Although therapeutic intensifications were more likely in the presence of non-achieved treatment targets but the proportions of therapeutic inertia were high. Possible causes of therapeutic inertia were less of the physician behaviours but might be more of patient-related non-adherence or non-availability of the oral medications. These observations require urgent identification and rectification to improve disease control, avoiding detrimental health implications and costly consequences. Trial registration Number NCT02730754, April 6, 2016.

scholarly journals Effective Treatment Recommendations for Type 2 Diabetes Management Using Reinforcement Learning: Treatment Recommendation Model Development and Validation (Preprint)

2021 ◽  
Author(s):  
Xingzhi Sun ◽  
Yong Mong Bee ◽  
Shao Wei Lam ◽  
Zhuo Liu ◽  
Wei Zhao ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Reinforcement Learning ◽  
Blood Lipids ◽  
Diabetes Complications ◽  
Data Driven ◽  
Lipid Lowering ◽  
Treatment Recommendation

BACKGROUND Type 2 diabetes mellitus (T2DM) and its related complications represent a growing economic burden for many countries and health systems. Diabetes complications can be prevented through better disease control, but there is a large gap between the recommended treatment and the treatment that patients actually receive. The treatment of T2DM can be challenging because of different comprehensive therapeutic targets and individual variability of the patients, leading to the need for precise, personalized treatment. OBJECTIVE The aim of this study was to develop treatment recommendation models for T2DM based on deep reinforcement learning. A retrospective analysis was then performed to evaluate the reliability and effectiveness of the models. METHODS The data used in our study were collected from the Singapore Health Services Diabetes Registry, encompassing 189,520 patients with T2DM, including 6,407,958 outpatient visits from 2013 to 2018. The treatment recommendation model was built based on 80% of the dataset and its effectiveness was evaluated with the remaining 20% of data. Three treatment recommendation models were developed for antiglycemic, antihypertensive, and lipid-lowering treatments by combining a knowledge-driven model and a data-driven model. The knowledge-driven model, based on clinical guidelines and expert experiences, was first applied to select the candidate medications. The data-driven model, based on deep reinforcement learning, was used to rank the candidates according to the expected clinical outcomes. To evaluate the models, short-term outcomes were compared between the model-concordant treatments and the model-nonconcordant treatments with confounder adjustment by stratification, propensity score weighting, and multivariate regression. For long-term outcomes, model-concordant rates were included as independent variables to evaluate if the combined antiglycemic, antihypertensive, and lipid-lowering treatments had a positive impact on reduction of long-term complication occurrence or death at the patient level via multivariate logistic regression. RESULTS The test data consisted of 36,993 patients for evaluating the effectiveness of the three treatment recommendation models. In 43.3% of patient visits, the antiglycemic medications recommended by the model were concordant with the actual prescriptions of the physicians. The concordant rates for antihypertensive medications and lipid-lowering medications were 51.3% and 58.9%, respectively. The evaluation results also showed that model-concordant treatments were associated with better glycemic control (odds ratio [OR] 1.73, 95% CI 1.69-1.76), blood pressure control (OR 1.26, 95% CI, 1.23-1.29), and blood lipids control (OR 1.28, 95% CI 1.22-1.35). We also found that patients with more model-concordant treatments were associated with a lower risk of diabetes complications (including 3 macrovascular and 2 microvascular complications) and death, suggesting that the models have the potential of achieving better outcomes in the long term. CONCLUSIONS Comprehensive management by combining knowledge-driven and data-driven models has good potential to help physicians improve the clinical outcomes of patients with T2DM; achieving good control on blood glucose, blood pressure, and blood lipids; and reducing the risk of diabetes complications in the long term.

scholarly journals Exploring the relationship between coronary heart disease and type 2 diabetes: a cross-sectional study of secondary prevention among diabetes patients

BJGP Open ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. bjgpopen18X101636 ◽  
Author(s):  
Bjørn Gjelsvik ◽  
Anh Thi Tran ◽  
Tore J Berg ◽  
Åsne Bakke ◽  
Ibrahimu Mdala ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Ldl Cholesterol ◽  
South Asians ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

BackgroundCoronary heart disease (CHD) and stroke are the major causes of death among people with diabetes.AimTo describe the prevalence and onset of CHD and stroke among patients with type 2 diabetes mellitus (T2DM) in primary care in Norway, and explore the quality of secondary prevention.Design & settingA cross-sectional study of data was undertaken from electronic medical records (EMRs) of 10 255 patients with T2DM in general practice. The study took place in five counties of Norway (Oslo, Akershus, Rogaland, Hordaland, and Nordland). Quality of care was assessed based on national guideline recommendations.MethodSummary statistics with adjustments and binary logistic regression models were used.ResultsIn total, 2260 patients (22.1%) had CHD and 759 (7.4%) had stroke. South Asians had significantly more CHD than ethnic Norwegians (29.5%, 95% confidence interval [CI] = 26.1 to 33.0 versus 21.5%, CI = 20.6 to 22.3) and other ethnic groups, and experienced onset of CHD or stroke at a mean of 7 years before Norwegians. In 47.9% of the patients, CHD was diagnosed before T2DM. Treatment target for low-density lipoprotein (LDL) cholesterol was reached for 30.0% and for systolic blood pressure (SBP) for 65.1% of the patients with CHD. Further, 20.9% of patients with CHD were present smokers, and only 5.0% of patients reached all four treatment targets (no smoking, HbA1c ≤7.0%, SBP <135 mmHg, LDL-cholesterol <1.8 mmol/l).ConclusionThe diagnosis of CHD preceded the diagnosis of T2DM in half of the patients. The prevalence of CHD was highest and onset earlier among ethnic South Asians. More intensive treatment of lipids, blood pressure, and smoking are needed in patients with T2DM and CHD.

scholarly journals Is Therapeutic Inertia Present in hyperglycaemia, Hypertension and Hypercholesterolaemia Management among Adults with type 2 Diabetes in three Health Clinics in Malaysia? A Retrospective Cohort Study

2021 ◽  
Author(s):  
Boon How Chew ◽  
Husni Hussain ◽  
Ziti Akthar Supian
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Ldl Cholesterol ◽  
Therapeutic Inertia ◽  
Treatment Targets ◽  
Health Clinics

Abstract Background: Good-quality evidence has shown that early glycaemic, blood pressure and LDL-cholesterol control in people with type 2 diabetes (T2D) leads to better outcomes. In spite of that, diseases control have been inadequate globally, and therapeutic inertia could be one of the main cause. Evidence on therapeutic inertia has been lacking at primary care setting. This retrospective cohort study aimed to determine the proportions of therapeutic inertia when treatment targets of HbA1c, blood pressure and LDL-cholesterol were not achieved in adults with T2D at three public health clinics in Malaysia.Methods: The index prescriptions were those that when the annual blood tests were reviewed. Prescriptions of medication were verified, compared to the preceding prescriptions and classified as 1) no change, 2) stepping up and 3) stepping down. The treatment targets were HbA1c < 7.0% (53 mmol/mol), blood pressure (BP) < 140/90 mmHg and LDL-cholesterol < 2.6 mmol/L. Therapeutic inertia was defined as no change in the medication use in the present of not reaching the treatment targets. Descriptive, univariable, multivariable logistic regression and sensitive analyses were conducted. Results: A total of 552 cohorts were available for the assessment of therapeutic inertia (78.9% completion rate). The mean (SD) age and diabetes duration were 60.0 (9.9) years and 5.0 (6.0) years, respectively. High therapeutic inertia were observed in oral anti-diabetic (61-72%), anti-hypertensive (34-65%) and lipid-lowering therapies (56-77%), and lesser in insulin (34-52%). Insulin therapeutic inertia was more likely among those with shorter diabetes duration (adjusted OR 0.9, 95% CI 0.87, 0.98). Those who did not achieve treatment targets were less likely to experience therapeutic inertia: HbA1c ≥ 7.0%: adjusted OR 0.10 (0.04, 0.24); BP ≥ 140/90 mmHg: 0.28 (0.16, 0.50); LDL-cholesterol ≥ 2.6 mmol/L: 0.37 (0.22, 0.64). Conclusions: Although therapeutic intensifications were more likely in the present of non-achieved treatment targets but the proportions of therapeutic inertia were high. Possible causes of therapeutic inertia were less of the physician behaviours but may be more of patient-related non-adherence or non-availability of the oral medications and these require urgent identification and rectification to improve disease control, avoiding detrimental health implications and costly consequences.

Effects of telephone call intervention on cardiovascular risk factors in T2DM: A meta-analysis

2017 ◽  
Vol 25 (2) ◽  
pp. 93-105 ◽  
Author(s):  
Junping Wei ◽  
Huijuan Zheng ◽  
Liansheng Wang ◽  
Qiuhong Wang ◽  
Fan Wei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Meta Analysis ◽  
Glycosylated Haemoglobin ◽  
Haemoglobin A1c ◽  
Telephone Calls

Background Mobile health interventions utilising telephone calls are promising tools for diabetes management. However, there is still a lack of convincing evidence demonstrating their beneficial effects on cardiovascular risk factors. The aim of this meta-analysis of randomised controlled trials was to assess the effect of telephone calls on glycaemic control and other cardiovascular risk factors in type 2 diabetes mellitus patients. Methods Two independent reviewers searched three online databases (PubMed, the Cochrane Library and EMBASE) to identify relevant English-language randomised controlled trials up to September 2017. Randomised controlled trials that assessed the effects of telephone calls on glycaemic control and other cardiovascular risk factors in type 2 diabetes mellitus patients were included. Effect size was calculated for changes in glycosylated haemoglobin A1c, weight, blood pressure and lipid levels using fixed- or random-effects models. Results Eighteen studies involving 3954 patients were included in the meta-analysis. Compared with usual care, telephone calls significantly decreased glycosylated haemoglobin A1c, by 0.12% (95% confidence interval: −0.22% to −0.02%). Univariate regression analysis showed that none of the covariates (number of participants, baseline age, baseline glycosylated haemoglobin A1c, duration of diabetes, call maker, number of calls and duration of study) had an impact on glycosylated haemoglobin A1c. For other cardiovascular risk factors, telephone calls significantly reduced systolic blood pressure by 0.19 mm Hg (95% confidence interval: −0.34% to −0.03%) but non-significantly changed diastolic blood pressure, body mass index, low-density lipoprotein cholesterol, total cholesterol, triglyceride or high-density cholesterol levels. Conclusions This meta-analysis supports the hypothesis that telephone calls offer moderate benefits for glycosylated haemoglobin A1c and systolic blood pressure reduction among type 2 diabetes mellitus patients. However, the data remain insufficient regarding the association of telephone calls with lowered diastolic blood pressure, body mass index or improved lipoprotein profiles.

scholarly journals Effectiveness of Systematic Health Education Model for Type 2 Diabetes Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Yongwen Zhang ◽  
Lanfang Chu
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Health Education ◽  
Ldl Cholesterol ◽  
Lifestyle Modification ◽  
Randomized Study ◽  
Control Group ◽  
Education Model

Background. Health education is considered to be essential in the overall care of patients with type 2 diabetes mellitus (T2DM); systematic health education integrates individual education not only during hospitalization but also extended care outside of a hospital. To test effectiveness of the systematic health education model for T2DM, we conducted a randomized study with a control group among patients with T2DM living in Nanjing, China. Methods. 998 eligible patients completed the enrollment and were randomized to systematic health education model and conventional model groups (498 and 500 patients, resp.). The systematic health education model was based on the following aspects: image education, visitation of the exhibition hall, dissemination of educational materials, individualized medical nutrition therapy and exercise programs, WeChat group and regular health lectures, evaluation of complications, lifestyle modification, systematic treatment scheme, self-monitoring of glycemic control, monthly evaluation of the therapeutic effect, proposed improvement measures, and individualized follow-up scheme. The main outcome measures were glycated hemoglobin A1c (HbA1c), blood pressure, body mass index (BMI), and lipids during the 2-year follow-up. Results. The systematic health education model led to a favorable variation in HbA1c, LDL cholesterol, and systolic blood pressure (SBP) (P<0.05). After adjusted analysis, the HbA1c decreased by 0.67% (P<0.01) in the systematic health education model, SBP decreased by 10.83 mmHg (P<0.01), and the level of diastolic blood pressure (DBP), HDL cholesterol, and total cholesterol decreased slightly and was not significant. The BMI did not change significantly during the study in either of the two groups. Conclusions. The systematic health education model is a useful method in the treatment of T2DM because it contributes to decrease in HbA1c, LDL cholesterol, and SBP levels, as well as helps in increasing the compliance with the control criteria, except for DBP and BMI.

Sign in / Sign up

Export Citation Format

Share Document