Predictors of poor glycemic control among type 2 diabetes mellitus patients treated with antidiabetic medications

Wang, Jingqing; Li, Jie; Wen, Chendong; Liu, Yan; Ma, Hongshan

doi:10.1097/md.0000000000027677

Cited by 11 publications

(8 citation statements)

References 23 publications

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“…Evidence has shown that longer diabetes duration is associated with poor glucose control (Alzaheb and Altemani, 2018;Chetoui et al, 2019;Demoz et al, 2019;Fiseha et al, 2018;Wang et al, 2021), a finding we also observed in our study. Our study also found that better fasting blood glucose was recorded amongst those with shorter diabetes duration (< 2 years).…”

Section: Discussionsupporting

confidence: 91%

Factors contributing to glycaemic control in an urban population of adults living with type 2 diabetes in Cameroon: A community-based cross-sectional study

Loveline,

Lifoter

2024

J. Diabetes Endocrinol.

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This study aimed to determine the prevalence of poor glucose control and identify contributing factors among type 2 diabetes patients in the Bamenda III health district, North West Region, Cameroon. A community-based cross-sectional study involved 162 adults with type 2 diabetes (mean age 58.7±9.5 years) in the Bamenda III health district, recruited using convenient sampling. Anthropometric measurements and blood glucose control (using fasting blood glucose as a proxy) were conducted following standard procedures. Data on sociodemographic and diabetes-related characteristics were collected using a structured questionnaire. Logistic regression calculated odds ratios (ORs) to assess the association between potential factors and poor glucose control. The prevalence of poor glucose control using fasting blood sugar levels was 51.8%. Males had a nonsignificantly (p = 0.882) higher mean fasting blood sugar (151.2mg/dl) compared to females (149.6mg/dl). Bivariate analysis showed that a family history of diabetes (OR 0.5, 95% CI, 0.3 to 0.9) and good dietary adherence (OR 0.4, 95% CI, 0.2 to 0.8) were significantly associated (p < 0.05) with good glycemic control, while age ≥ 67 years (OR 1.7, 95% CI, 0.7 to 4.6), gender (OR 1.3, 95% CI, 0.7 to 2.4), and owning a glucometer (OR 0.8, 95% CI, 0.4 to 1.7) were not significantly (p > 0.05) associated with glucose control. Multivariate analysis revealed that good dietary adherence (OR 0.4, 95% CI, 0.2 to 0.9) was significantly associated (p = 0.020) with good glucose control. This study demonstrated a high prevalence of poor glycemic control among adults with type 2 diabetes, with poor dietary adherence identified as a contributing factor in this setting.

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Section: Discussionsupporting

confidence: 91%

Factors contributing to glycaemic control in an urban population of adults living with type 2 diabetes in Cameroon: A community-based cross-sectional study

Loveline,

Lifoter

2024

J. Diabetes Endocrinol.

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“…Related research shows that residents in economically underdeveloped areas have a higher incidence of DFU [ 31 ]. Kashi Prefecture, where the patients enrolled in our study came from, is a border city in northwestern China and represents an undeveloped and poorly resourced area.…”

Section: Discussionmentioning

confidence: 99%

Neutrophil Extracellular Traps (NETs) Are Associated with Type 2 Diabetes and Diabetic Foot Ulcer Related Amputation: A Prospective Cohort Study

Ibrahim,

Nuermaimaiti,

Maimaituxun

et al. 2024

Diabetes Ther

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Introduction The prevalence of diabetes mellitus and its sequelae has been on the rise, and diabetic foot ulcer (DFU) is the leading cause of non-traumatic lower limb amputation globally. The rising occurrence and financial burden associated with DFU necessitate improved clinical assessment and treatment. Diabetes has been found to enhance the formation of neutrophil extracellular traps (NETs) by neutrophils, and excessive NETs have been implicated in tissue damage and impaired wound healing. However, there is as yet insufficient evidence to clarify the value of NETs in assessing and predicting outcomes of DFU. Methods We designed this prospective study with three cohorts formed from type 2 diabetes mellitus (T2DM) patients with DFU ( n = 200), newly diagnosed T2DM patients ( n = 42), and healthy donors ( n = 38). Serum levels of NETs were detected for all groups, and the prognostic value for DFU-related amputation was analyzed. Results The results showed that serum NET levels of the DFU group were significantly higher than in the T2DM group ( P < 0.05), which also had significantly elevated serum NET levels compared to healthy donors ( P < 0.05). Multivariate Cox regression showed that serum NET levels, diabetic foot surgical history, and Wagner grade were the risk factors for amputation ( P < 0.05), and these three variables also exhibited the highest coefficient values in additional Lasso Cox regression. For patients with DFU, Kaplan-Meier curves showed that high serum NET levels associated with higher amputation probability (HR = 0.19, P < 0.01) and ROC curve based on NET value showed good validity for amputation (AUC: 0.727, CI 0.651–0.803). Conclusion Elevated serum NET levels serve as an easily accessible serological prognostic marker for assessing the risk of DFU-related amputation, thereby offering evaluation metrics for healthcare providers. Further investigations are necessary to understand the mechanisms driving this relationship. Supplementary Information The online version contains supplementary material available at 10.1007/s13300-024-01579-6.

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“…As the duration of diabetes increases, glycaemic control worsens which has also been shown in our study. [3,20,22,[28][29][30] Similarly, in the majority of relevant studies it has been reported that a longer diabetes duration was related to poor glycaemic control. [3,4,27,[30][31][32] In contrast, in another study evaluating the risk factors related to poor glycaemic control reported that 81.0% of patients with poor glycaemic control had a diabetes duration of <7 years.…”

Section: Discussionmentioning

confidence: 99%

The relationship between poor glycaemic control and risk factors in patients with type 2 diabetes mellitus

atcı¹

2022

EJMA

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D iabetes mellitus is a chronic metabolic disease characterized mainly by hyperglycaemia, glycosuria and dyslipidaemia. Regardless of the cause, diabetes mellitus is a group of disorders with a complete or partial deficiency of insulin (which may also be accompanied by insulin resistance), and it involves various pathogenic mechanisms in which hyperglycaemia plays a major role. Type 2 diabetes, which is the most common type of diabetes and is increasing in prevalence, is one of the major health problems to emerge in recent years as its complications can lead to serious morbidity and mortality. [1][2][3] Although the primary goal in all diabetic patients is to Objectives: To identify risk factors for poor glycaemic control in type 2 diabetes mellitus patients. Methods: We obtained data from type 2 diabetes mellitus patients including their sociodemographic characteristics, body mass index (BMI), duration of diabetes, family history of diabetes, hypertension status, and current antidiabetic medications. At their last follow-up visits, the haemoglobin A1c (HbA1c), fasting glucose level, and lipid profiles were also recorded. Patients with a HbA1C ≥ 7% or a fasting plasma glucose level≥ 140 mg/dl were considered to have poor glycaemic control. Results: Of the 500 patients included in this study, 51.2% (n=256) were female. The average HbA1c level was 7.7% of whom 67% had a HbA1c level ≥ 7%, and 48% had a fasting plasma glucose≥ 140 mg/dl. Better glycaemic control rates (HbA1c < 7% and/or fasting plasma glucose < 140 mg/dl) were noted in patients with a shorter diabetes duration, no family history of diabetes, higher educational status, a lower waist circumference, and no hypertension, who were married and currently working, had been prescribed only oral antidiabetic agents and whose triglyceride levels were < 150 mg/dl. Independent risk factors for poor glycaemic control were longer duration of diabetes, diagnosed with diabetes at an earlier age, lower education level, higher triglyceride levels, being single and receiving insulin therapy. Conclusion: It could be suggested that waist circumference and triglyceride levels may be important parameters than BMI and cholesterol levels for glycaemic control. However, these data should be confirmed by further prospective studies.

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Predictors of poor glycemic control among type 2 diabetes mellitus patients treated with antidiabetic medications

Cited by 11 publications

References 23 publications

Factors contributing to glycaemic control in an urban population of adults living with type 2 diabetes in Cameroon: A community-based cross-sectional study

Factors contributing to glycaemic control in an urban population of adults living with type 2 diabetes in Cameroon: A community-based cross-sectional study

Neutrophil Extracellular Traps (NETs) Are Associated with Type 2 Diabetes and Diabetic Foot Ulcer Related Amputation: A Prospective Cohort Study

The relationship between poor glycaemic control and risk factors in patients with type 2 diabetes mellitus

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