Glycaemic control, treatment satisfaction and quality of life in type 2 diabetes patients in Greece: The PANORAMA study Greek results

Predictor factors of uncontrolled diabetes

OBJECTIVE

The most significant challenge faced by individuals with diabetes is poor blood sugar control. The objective of this review is to identify the most crucial predictors of poor glycemic control among patients with diabetes.

MATERIALS

This review employed a comprehensive approach, utilizing all available analytical cross-sectional, case control and cohort studies to ascertain the pooled odds ratio/risk ratio of uncontrolled diabetes. The review encompassed articles from international databases, including Web of Science, PubMed, Scopus, and Google Scholar without restrictions on publication date or language. Data extraction was conducted until May 11, 2024, with statistical analyses performed using Stata 17 software, employing a random effects model at a 95% confidence level.

RESULTS

Out of 157,841 records, a total of 59 cross-sectional studies, 4 case-control studies, and 3 cohort studies were included, comprising 284,558 participants with a mean age of 53.78 years (SD = 6.33). There was no statistically significant association between the seven factors analyzed-age, gender, smoking status, education level, systolic blood pressure, diastolic blood pressure, and BMI. However, we observed a significant decrease in the likelihood of poor glycemic control with each unit increase in physical activity. Specifically, as physical activity levels increased, the likelihood of poor glycemic control decreased (adjusted OR 0.41; 95% CI: 0.24, 0.72; p-value = 0.02).

CONCLUSION

Our systematic review and meta-analysis study showed that increased levels of physical activity in individuals with type 2 diabetes enhance the chances of achieving better glycemic control.

The Impact of Diabetes Education by Clinical Pharmacist on Quality of Life and Treatment Satisfaction of Sudanese Individuals With Type II Diabetes Mellitus: Randomized, Double-Blind, Controlled Trial

BACKGROUND

Patients' satisfaction with their treatment directly impacts the control of their diabetes. Quality of life is crucial for patients with diabetes mellitus to maintain long-term health and minimize complications. The current study aimed to evaluate the impact of diabetes education on quality of life (QoL) and treatment satisfaction of patients with type 2 diabetes mellitus.

METHODS

The current study was a randomized controlled trial. Patients with type 2 diabetes who were attending the diabetes clinic for 1 year were recruited. The overall sample in this study was 364 participants; 182 controls 182 cases. The interventional and control group participants were assigned randomly by simple random sampling technique. Controls were managed per usual care while cases were managed per usual care plus education done by the researcher. Pre-structured standardized questionnaires were used to collect the data. Data were processed and analyzed by using SPSS; version 28.

RESULTS

More than three-fourth of the participants; 76.4% were females. The average (±SD) age of the cases was 54.5 (±10) years, while was 56 (±9.8) years for controls. The overall median (IQR) years of DM diagnosis for all participants was 8 (4-14) years. The results showed a statistically significant difference between the mean satisfaction score from baseline to 12 months in the cases compared the controls (P < .001). Furthermore, there are statistically insignificant differences between the changes of mean overall QoL score from baseline to 12 months among the 2 groups.

CONCLUSION

The education provided improved self-reported treatment-satisfaction among individuals with diabetes .A statistically insignificant differences in QoL between the 2 groups compared to baseline have been shown at the study end.The trial registration number is PACTR202311766174946 which was registered by pan African clinical trials registry, https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=26928.

Use Of The GLYCEMIZER® Tool By General Practitioners To Meet Individual Glycated Hemoglobin Goals In Patients With Type 2 Diabetes Mellitus

Background — For general practitioners (GPs), it is often not easy to determine the individual glycated hemoglobin (HbA1c)-goal of patients with type 2 diabetes mellitus (T2DM) in order to offer them a tailored treatment and minimize side effects. Usually, they simply rely on their gut feeling. Objective — We assessed the usefulness of an easy-to-use algorithm (GLYCEMIZER®) to calculate individual HbA1c-goals and compared them with targeted (‘gut feeling’ of the GP’s) and achieved levels. Material and Methods — In this cross-sectional survey, general practitioners were asked to report anonymized data of at least 30 consecutive patients with T2DM presenting in their offices from May 1st to August 15th 2016 after obtaining informed consent. Demographic, clinical and biochemical data were used for the GLYCEMIZER® tool to calculate the individual HbA1c-goals. A statistical analysis was conducted in order to compare the calculated HbA1c-goals with targeted and achieved HbA1c-levels. Results — A total of 184 patients (mean age: 69y) were enrolled by 6 participating general practitioners from the Werdenberg-Sarganserland region in eastern Switzerland. Four patients did not meet the inclusion criteria. The overall median calculated HbA1c-goal did not differ from the targeted and achieved levels (7.1% vs. 7.0% vs. 7.1%, p=0.894). There was a significant difference between achieved and calculated HbA1c-levels in patients aged <50 (n=13, median 7.2% vs. 6.5%, p=0.014), goals not achieved) and patients aged >71 (n=85, median 6.9% vs. 7.5%, p=0.005), lower levels achieved in relation to calculated HbA1c-goals). Both in patients treated with insulin (n=44) and in patients without insulin (n=136) the achieved HbA1c-levels met the calculated goals (no insulin: 6.9% vs. 7.0%, ns; with insulin: 7.8% vs. 7.7%, ns). In regard to CKD-stages 3 and 4 the achieved HbA1c-levels were significantly lower than calculated (n= 41, median 6.9% vs. 7.6%, p=0.001). Conclusion — Calculating HbA1c-goals using the GLYCEMIZER tool is more accurate than relying on gut feeling alone, and is specifically useful in the treatment of patients with T2DM of less than 50, as well as more than 70 years of age. Furthermore, it is helpful to meet individual HbA1c-goals in patients with CKD-stages 3+.

Real-world clinical outcomes and costs in type 2 diabetes mellitus patients after initiation of insulin therapy: A German claims data analysis

BACKGROUND

This study describes real-world treatment-related outcomes and healthcare costs of German type 2 diabetes mellitus (T2D) patients who initiated insulin therapy.

METHODS

This retrospective analysis includes German claims data from 01/01/2012 until 31/12/2016. Identification of eligible patients took place between 01/01/2013 and 31/12/2015, allowing for at least 1 year of follow-up. Clinical outcomes, such as HbA1c values and body mass index, were observed in a subpopulation participating in a Disease Management Program. Healthcare expenditures were evaluated for the first year of therapy.

RESULTS

Overall, 27,340 insulin starters with T2D were observed (mean age: 72.2 years, female: 51.4%). Treatment-related outcomes were evaluated in a subsample of 12,034 patients. Patients who started insulin combined with other antidiabetic drugs (ADs) achieved their HbA1c goals more frequently than patients on insulin monotherapy (+10.7 percentage points [pp] vs. +21.1 pp for insulin plus metformin). All-cause costs were by far highest among patients with insulin monotherapy (€ 12,283 per patient-year) compared with patients receiving a combined AD regimen (€ 9,947-10,509 per patient-year).

CONCLUSIONS

Changes in HbA1c values were not in favor of insulin monotherapy, compared to regimens including other ADs. It was also associated with higher costs, suggesting that insulin alone is a suboptimal treatment.

Self-Reported Satisfaction to Treatment, Quality of Life and General Health of Type 2 Diabetes Patients with Inadequate Glycemic Control from North-Eastern Romania

Type 2 diabetes mellitus (T2DM) undermines health and quality of life (QoL). This cross-sectional study surveyed 138 consenting T2DM patients from North-Eastern Romania with regard to their satisfaction with treatment, diabetes-related impact on QoL, and general health. The Romanian versions of Diabetes Treatment Satisfaction Questionnaire (DTSQ), Audit of Diabetes Dependent Quality of Life (ADDQoL-19), and 36-Item Short Form Health Survey (SF-36) questionnaires were used. Self-reports were analyzed in conjunction with clinical and metabolic profiling. The patients were 57.86 ± 8.82 years old, 49.3% men, treated with oral glucose-lowering drugs, presenting with inadequate glycemic control but without cardiovascular manifestations. The mean DTSQ and ADDQoL scores were 25.46 ± 0.61 and −2.22 ± 1.2, respectively. Freedom to eat, holidays, journeys, leisure, physical health, sex life, freedom to drink, and feelings about the future scored below average. The mean SF-36 physical and mental health scores were 47.78 ± 1.03 and 50.44 ± 1.38, respectively. The mean SF-6D score was 0.59 ± 0.04 (generated retrospectively using SF-36 data). Negative associations were significant between ADDQoL, age (r = −0.16), and body mass index (r = −0.23), p < 0.01. Overall scores did not correlate with diabetes duration (except DTSQ, r = −1.18, p = 0.02) or HbA_1c. The results confirm other researchers’ findings in Europe and nearby countries. Our patients seemed satisfied with treatment despite glycemic imbalance and viewed diabetes as a burden on QoL and especially freedom to eat.

Total-body PET Imaging: A New Frontier for the Assessment of Metabolic Disease and Obesity

Obesity and associated metabolic syndrome are a global public health issue. Understanding the pathophysiology of this systemic disease is of critical importance for the development of future therapeutic interventions to improve clinical outcomes. The multiorgan nature of the pathophysiology of obesity presents a unique challenge. Total-body PET imaging, either static or dynamic, provides a vital set of tools to study organ crosstalk. The visualization and quantification of tissue metabolic kinetics with total-body PET in health and disease provides essential information to better understand disease physiology and potentially develop diagnostic and therapeutic modalities.

Profile and factors associated with glycaemic control of patients with type 2 diabetes in Greece: results from the diabetes registry

BACKGROUND

Strict glycaemic control early in the treatment process has been shown to reduce the occurrence of micro- and macro- vascular complications of diabetes in the long-term. Thus, treatment guidelines advise early intensification of treatment to achieve glycaemic control goals. However, evidence in Greece suggests that, despite guideline recommendations, glycaemic control among patients with T2DM remains challenging. This study presents the demographic and clinical characteristics of patients with T2DM in Greece using data from an electronic registry designed specifically for this treatment category and investigates the factors that are independently associated with glycaemic control.

METHODS

This is a multi-center, observational, cross-sectional study to investigate epidemiological and clinical factors affecting glycaemic control among patients with T2DM in Greece. Data was collected via a web-based disease registry, the Diabetes Registry, which operated from January 1st to December 31st, 2017. Five large specialized diabetes centers operating in Greek hospitals participated in the study.

RESULTS

Data for 1141 patients were retrieved (aged 63.02 ± 12.65 years, 56.9% male). Glycaemic control (Hb1Ac < 7%) was not achieved in 57.1% of patients. Factors independently associated with poor glycaemic control were: family history of diabetes [OR: 1.53, 95% CI: 1.06-2.23], BMI score between 25 to 30 [OR: 2.08, 95% CI: 1.05-4.13] or over 30 [OR: 2.12, 95% CI 1.12-4.07], elevated LDL levels [OR: 1.53, 95% 1.06-2.21] and low HDL levels [OR: 2.12, 95% CI: 1.44-3.12]. Lastly, use of injectable antidiabetic agents (in monotherapy or in combination) was less likely to be associated with poor glycaemic control versus treatment with combination of oral and injectable agents [OR: 0.50, 95% CI: 0.24-1.01]. This association was found to be marginally statistically significant.

CONCLUSION

Inadequate lipid control, family history of diabetes and presence of obesity (ΒΜΙ ≥ 30 kg/m²) were associated with poor glycaemic control among study sample, whereas use of injectable antidiabetic agents was less likely to be associated with poor glycaemic control. These findings indicate how complex optimal glycaemic control is, highlighting the need for tailored interventions in high-risk subpopulations with T2DM.

Evaluating glycaemic control in patients poorly controlled on oral antidiabetic drugs in real-world setting: Results from assessing the Appropriate Timing of Type 2 diAbetes INtensification (ATTAIN)

INTRODUCTION

Many patients with type 2 diabetes mellitus (DM) fail to achieve glycaemic control despite recommended treatment strategies to reduce glycated haemoglobin (HbA1c). This real-world retrospective cohort study compared HbA1c change and treatment patterns between those intensifying and not intensifying therapy with oral antidiabetic drugs (OADs).

MATERIALS AND METHODS

Patients suboptimally controlled on OADs (>58 mmol/mol [>7.5%] or >64 mmol/mol [>8.0%] for high risk, index 1) were included from IQVIA Medical Research Data. Intensifiers within 12 months of index 1 were matched (1:1) to nonintensifiers. Primary outcomes were HbA1c change and proportion of participants achieving HbA1c targets 6 and 12 months post-index 2 (date of intensification [intensifiers] or pseudodate [nonintensifiers]). Therapy adherence was also assessed.

RESULTS

A total of 10 832 participants (5539 intensifiers and 5293 nonintensifiers) were included. Mean HbA1c decrease from baseline to 6 months was -1.13% (intensifiers) vs -0.75% (nonintensifiers), with no substantial further change at 12 months. Cox proportional hazards (PH) analysis suggested a nearly 20% greater chance of target achievement at 6 months for intensifiers vs nonintensifiers (hazard ratio [HR]: 0.79 [95% confidence interval [CI]: 0.73-0.86]), which was similar at 12 months (HR: 0.80 [95% CI: 0.74-0.86]). Intensifiers tended towards greater adherence to baseline therapy (90% [standard deviation (SD): 14.9] vs nonintensifiers 87% [SD: 16.0]), which decreased following intensification.

CONCLUSIONS

Significant reductions in HbA1c were evident at 6 months and were greater in intensifiers vs nonintensifiers. Little additional clinical benefit was seen 12 months postintensification. Despite good treatment adherence, many participants failed to achieve target HbA1c; actions beyond improved adherence are needed to improve suboptimal HbA1c.

Evaluating Glycemic Control in Patients with Type 2 Diabetes Suboptimally Controlled on Basal Insulin: UK ATTAIN Real-World Study

INTRODUCTION

This retrospective, observational cohort study evaluated the effect of therapy intensification on change in glycated hemoglobin (HbA1c) at 6 and 12 months post intensification in patients with type 2 diabetes (T2D) suboptimally controlled on basal insulin (BI) (i.e., HbA1c ≥ 7.5% [≥ 58 mmol/mol]).

METHODS

Patients with T2D with suboptimal glycemic control using BI were identified from The Health Improvement Network (THIN) database. Patients who underwent therapy intensification (intensifiers) within 12 months of index 1 (the date of the first incidence of suboptimally controlled HbA1c) were matched (1:1) to patients who did not intensify therapy (non-intensifiers). Index 2 was the date of therapy intensification for intensifiers, or a pseudo date for non-intensifiers that resulted in the same duration from index 1 to index 2 as their matched intensifier patient. Primary outcomes were HbA1c change and proportion of patients achieving the HbA1c target at 6 and 12 months post index 2.

RESULTS

A total of 1342 patients (n = 646 intensifiers; n = 696 non-intensifiers) were included in the analysis. At post index 2, mean HbA1c change was substantially greater at 6 months for intensifiers than for non-intensifiers (- 0.81% vs. - 0.35%), with no additional benefit at 12 months (- 0.81% vs. - 0.49%, respectively). Compared with non-intensifiers, a greater proportion of intensifiers achieved target HbA1c at 6 months (25.1% vs. 18.8%) and at 12 months (33.4% vs. 28.2%).

CONCLUSIONS

Many real-world patients with T2D suboptimally controlled with BI do not have their therapy intensified. The results of this study suggest that in this patient population, therapy intensification achieves significant reductions in HbA1c at 6 months post intensification, with little additional clinical benefit at 12 months. This suggests that, for patients who fail to achieve their glycemic targets at 6 months, since no meaningful additional clinical benefit is observed at 12 months when continuing the same therapy, further therapy intensification or change should be promptly considered.

FUNDING

This study and the Rapid Service Fees were funded by Sanofi.

TRIAL REGISTRATION

17THIN068.

Health status and quality of life in patients with diabetes in Switzerland

AIMS

We aimed to assess the health status and quality of life (QoL) of patients with diabetes and explore the associated factors in a French-speaking region of Switzerland.

METHODS

This cross-sectional study analyzed self-reported data from 585 patients with diabetes. We ran univariate and multivariate regressions analyses on health status (Physical and Mental Component Summary scores (PCS, MCS) of the SF-12) and diabetes-specific QoL (ADDQoL score).

RESULTS

Mean PCS was 43.1±10.4 and mean MCS was 46.7±11.1. The overall ADDQoL score was -1.6±1.6; the life domains of the ADDQoL with the lowest scores were freedom to eat, sex life and freedom to drink. Being older was independently and significantly associated with higher mental health and QoL, while lower income was associated with lower physical health, mental health, and QoL. Having diabetes for over 10 years was associated with lower QoL, while insulin treatment and complications were correlated with lower physical health and QoL.

CONCLUSIONS

This study provides key information on the health status and QoL of patients with diabetes in Switzerland and their associated factors, which can help healthcare providers to identify patients at higher risk of lower health and QoL.

Effectiveness of Digital Interventions for Improving Glycemic Control in Persons with Poorly Controlled Type 2 Diabetes: A Systematic Review, Meta-analysis, and Meta-regression Analysis

BACKGROUND

Digital interventions may assist patients with type 2 diabetes in improving glycemic control. We aimed to synthesize effect sizes of digital interventions on glycated hemoglobin (HbA1c) levels and to identify effective features of digital interventions targeting patients with poorly controlled type 2 diabetes.

MATERIALS AND METHODS

MEDLINE, ISI Web of Science, and PsycINFO were searched for randomized controlled trials (RCTs) comparing the effects of digital interventions with usual care. Two reviewers independently assessed studies for eligibility and determined study quality, using the Cochrane Risk of Bias Assessment Tool. The Behavioral Change Technique Taxonomy V1 (BCTTv1) was used to identify BCTs used in interventions. Mean HbA1c differences were pooled using analysis of covariance to adjust for baseline differences and pre-post correlations. To examine effective intervention features and to evaluate differences in effect sizes across groups, meta-regression and subgroup analyses were performed.

RESULTS

Twenty-three arms of 21 RCTs were included in the meta-analysis (n = 3787 patients, 52.6% in intervention arms). The mean HbA1c baseline differences ranged from -0.2% to 0.64%. The pooled mean HbA1c change was statistically significant (-0.39 {95% CI: [-0.51 to -0.26]} with substantial heterogeneity [I² statistic, 80.8%]) and a significant HbA1c reduction was noted for web-based interventions. A baseline HbA1c level above 7.5%, β = -0.44 (95% CI: [-0.81 to -0.06]), the BCTs "problem solving," β = -1.30 (95% CI: [-2.05 to -0.54]), and "self-monitoring outcomes of behavior," β = -1.21 (95% CI: [-1.95 to -0.46]) were significantly associated with reduced HbA1c levels.

CONCLUSIONS

Digital interventions appear effective for reducing HbA1c levels in patients with poorly controlled type 2 diabetes.

Effectiveness of behavioral change techniques employed in eHealth interventions designed to improve glycemic control in persons with poorly controlled type 2 diabetes: a systematic review and meta-analysis protocol

BACKGROUND

The incorporation of Behavioral Change Techniques (BCTs) in eHealth interventions for the management of non-communicable diseases (NCDs), such as type 2 diabetes mellitus (T2DM), might be a promising approach to improve clinical and behavioral outcomes of NCDs in the long run. This 3paper reports a protocol for a systematic review that aims to (a) identify the effects of individual BCTs in eHealth interventions for lowering glycated hemoglobin levels (HbA1c) and (b) investigate which additional intervention features (duration of intervention, tailoring, theory-base, and mode of delivery) affect levels of HbA1c in this population. The protocol follows the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) 2015 guideline.

METHODS/DESIGN

To identify eligible studies, an extensive systematic database search (PubMed, Web of Science, and PsycINFO) using keywords will be conducted. This review will include randomized controlled trials examining the effects of eHealth interventions on HbA1c in persons with poorly controlled T2DM over a minimum follow-up period of 3 months. Relevant data will be extracted from the included studies using Microsoft Excel. The content of the interventions will be extracted from the description of interventions and will be classified according to the BCT taxonomy v1 tool. The quality of studies will be independently assessed by two reviewers using the Cochrane risk of bias tool. If the studies have adequate homogeneity, meta-analysis will be considered. The effect sizes of each BCT will be calculated using the random effect model. The quality of the synthesized evidence will be evaluated employing the Grading of the Recommendations Assessment, Development and Evaluation (GRADE) criteria.

DISCUSSION

This systematic review is one of the firsts to appraise the effectiveness of eHealth interventions employing BCTs which aimed at improving glycemic control in persons with poorly controlled T2DM. The review will aggregate the effect sizes of BCTs on HbA1c levels. The results may inform future eHealth interventions targeting poorly controlled T2DM populations.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42016049940.

Qualidade de vida, conhecimento e atitude após programa educativo para Diabetes

Resumo Objetivo Avaliar a qualidade de vida, o conhecimento sobre a doença e a atitude de indivíduos com diabetes mellitus tipo 2 antes e após participação em programa educativo. Métodos Estudo quase experimental, realizado com 110 indivíduos atendidos no ambulatório de um Hospital Universitário. No Grupo Controle, os indivíduos receberam o atendimento de rotina (n=74) e no Grupo Teste, além de receber o acompanhamento de rotina participaram das intervenções educativas (n=36). Foram utilizados o Whoqol-bref e o B-PAID para avaliar a qualidade de vida; DKN-A para avaliação do conhecimento e o ATT-19, a atitude. Resultados Houve melhora da qualidade de vida após participação no programa educativo, particularmente, no domínio Relações sociais; diminuição do sofrimento em viver com DM e aquisição de conhecimento estatisticamente significante. Na atitude o aumento foi discreto. Conclusão O programa educativo para DM2 contribuiu para o aumento da qualidade de vida, com diminuição do sofrimento; aumento do conhecimento sobre a doença, tratamento e melhor enfrentamento a doença.

Diet-Related Knowledge and Physical Activity in a Large Cohort of Insulin-Treated Type 2 Diabetes Patients: PROGENS ARENA Study

There is no doubt that behavioral intervention is crucial for type 2 diabetes mellitus (T2DM) prevention and management. We aimed to estimate dietary habits and diet-oriented knowledge as well as the level of physical activity in 2500 insulin-treated Polish type 2 diabetes mellitus (T2DM) patients (55.4% women). The mean age of the study participants was 64.9 ± 9.3 years, mean BMI was 31.4 kg/m² ± 4.5, mean diabetes duration was 12.4 ± 6.9 years, and mean baseline HbA1c was 8.5%  ± 1.2. At the study onset, all the patients completed a questionnaire concerning health-oriented behavior. Results showed a significant lack of diet-related knowledge. For example, only 37.5% recognized that buckwheat contains carbohydrates; the percentage of correct answers in questions about fruit drinks and pasta was 56.4% and 61.2%, respectively. As for the physical activity, only 57.4% of examined T2DM patients declared any form of deliberate physical activity. To conclude, the cohort of poorly controlled insulin-treated T2DM patients studied by us is characterized by insufficient diet-related knowledge and by a very low level of physical activity. Further studies on other populations of insulin-treated T2DM patients are required to confirm these findings.