scholarly journals Relationship between Blood HbA1c Level and Decayed Teeth in Patients with Type 2 Diabetes: A Cross-sectional Study

2018 ◽  
Vol 60 (2) ◽  
pp. 89-96
Author(s):  
Seitaro Suzuki ◽  
Koichi Yoshino ◽  
Atsushi Takayanagi ◽  
Yoichi Ishizuka ◽  
Ryouichi Satou ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Hba1c Level ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Inconvenient relationship of haemoglobin A1c level with endothelial function in type 2 diabetes in a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e045415
Author(s):  
Takayuki Yamaji ◽  
Takahiro Harada ◽  
Yu Hashimoto ◽  
Yuji Takaeko ◽  
Masato Kajikawa ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Hba1c Level ◽  
Cross Sectional Study ◽  
Antidiabetic Drugs ◽  
Haemoglobin A1c ◽  
Sectional Study ◽  
Cross Sectional ◽  
Relationship Of ◽  
Shaped Pattern

ObjectiveThe aim of this study was to determine the relationship of haemoglobin A1c (HbA1c) level with flow-mediated vasodilation (FMD) and nitroglycerine-induced vasodilation (NID) in patients with type 2 diabetes.DesignCross-sectional study.Setting22 university hospitals and affiliated clinics in Japan.Participants1215 patients with type 2 diabetes including 349 patients not taking antidiabetic drugs.MeasuresWe evaluated FMD and HbA1c level. All patients were divided into four groups based on HbA1c level: <6.5%, 6.5%–6.9%, 7.0%–7.9% and ≥8.0%.ResultsAn inverted U-shaped pattern of association between HbA1c level and FMD was observed at the peak of HbA1c of about 7%. FMD was significantly smaller in the HbA1c <6.5% group than in the HbA1c 6.5%–6.9% group and HbA1c 7.0%–7.9% group (p<0.001 and p<0.001), and FMD values were similar in the HbA1c <6.5% group and HbA1c ≥8.0% group. There were no significant differences in NID values among the four groups. After adjustments for confounding factors, FMD was significantly smaller in the HbA1c <6.5% group than in the HbA1c 6.5%–6.9% and HbA1c 7.0%–7.9% group (p=0.002 and p=0.04). In patients not taking antidiabetic drugs, FMD was also significantly smaller in the HbA1c <6.5% group than in the HbA1c 6.5%–6.9% group and HbA1c 7.0%–7.9% group (p<0.001 and p=0.02), and there were no significant differences in NID values among the four groups.ConclusionsThese findings suggest that there is an inverted U-shaped pattern of association between FMD and HbA1c and that a low HbA1c level of <6.5% is associated with endothelial dysfunction.Trial registration numberUMIN000012950, UMIN000012951, UMIN000012952 and UMIN000003409.

scholarly journals Metabolic and bone profile in postmenopausal women with and without type 2 diabetes: a cross-sectional study

2019 ◽  
Vol 57 (1) ◽  
pp. 61-67
Author(s):  
Nicoleta Dumitru ◽  
Mara Carsote ◽  
Andra Cocolos ◽  
Eugenia Petrova ◽  
Maria Olaru ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Postmenopausal Women ◽  
Negative Correlation ◽  
Hba1c Level ◽  
Bone Markers ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional

Abstract Introduction. Current studies support the implication of metabolic changes associated with type 2 diabetes in altering bone metabolism, structure and resistance. Objective. We conducted a cross-sectional study on postmenopausal women aimed to analyze the differences in metabolic and bone profile in patients with and without type 2 diabetes Methods. We analyzed the metabolic and bone profile in postmenopausal women with and without type 2 diabetes (T2DM). Clinical, metabolic, hormonal parameters, along with lumbar, hip and femoral bone mineral density (BMD) and trabecular bone score (TBS) were evaluated. Results. 56 women with T2DM(63.57±8.97 years) and 83 non-T2DM (60.21±8.77 years) were included. T2DM patients presented a higher value of body mass index (BMI) and BMD vs. control group (p = 0.001; p = 0.03-lumbar level, p = 0.07-femoral neck and p = 0.001-total hip). Also, BMI correlated positively with lumbar-BMD and glycated hemoglobin (HbA1c) (r = 0.348, p = 0.01; r = 0.269, p = 0.04), correlation maintained even after age and estimated glomerular filtration rate (eGFR) adjustment (r = 0.383, p = 0.005; r = 0.237, p = 0.08). Diabetic patients recorded lower levels of 25(OH)D(p = 0.05), bone markers (p ≤ 0.05) and TBS(p = 0.07). For the entire patient group we found a negative correlation between HbA1c level and bone markers: r = -0.358, p = 0.0005-osteocalcin, r = -0.40, p = 0.0005-P1NP, r = -0.258, p = 0.005-crosslaps. Conclusions. Our results indicate the presence of altered bone microarchitecture in T2DZ patients according to the TBS score, combined with lower levels of bone markers, with a statistically significant negative correlation between HbA1c level and bone markers.

Large-Scale Cross-Sectional Study of the Problem Areas in Diabetes Survey among Japanese Patients with Type 2 Diabetes Mellitus

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2393-PUB
Author(s):  
KENICHIRO TAKAHASHI ◽  
MINORI SHINODA ◽  
RIKA SAKAMOTO ◽  
JUN SUZUKI ◽  
TADASHI YAMAKAWA ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Large Scale ◽  
Japanese Patients ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Diabetes Survey

scholarly journals Associations between multimorbidity and glycaemia (HbA1c) in people with type 2 diabetes: cross-sectional study in Australian general practice

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039625
Author(s):  
Jason I Chiang ◽  
John Furler ◽  
Frances Mair ◽  
Bhautesh D Jani ◽  
Barbara I Nicholl ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
General Practice ◽  
Cross Sectional Study ◽  
Secondary Outcome ◽  
Linear Regression Models ◽  
Sectional Study ◽  
Cross Sectional ◽  
Long Term Conditions ◽  
Australian General Practice

ObjectivesTo explore the prevalence of multimorbidity as well as individual and combinations of long-term conditions (LTCs) in people with type 2 diabetes (T2D) attending Australian general practice, using electronic health record (EHR) data. We also examine the association between multimorbidity condition count (total/concordant(T2D related)/discordant(unrelated)) and glycaemia (glycated haemoglobin, HbA1c).DesignCross-sectional study.SettingAustralian general practice.Participants69 718 people with T2D with a general practice encounter between 2013 and 2015 captured in the MedicineInsight database (EHR Data from 557 general practices and >3.8 million Australian patients).Primary and secondary outcome measuresPrevalence of multimorbidity, individual and combinations of LTCs. Multivariable linear regression models used to examine associations between multimorbidity counts and HbA1c (%).ResultsMean (SD) age 66.42 (12.70) years, 46.1% female and mean (SD) HbA1c 7.1 (1.4)%. More than 90% of participants with T2D were living with multimorbidity. Discordant conditions were more prevalent (83.4%) than concordant conditions (69.9 %). The three most prevalent discordant conditions were: painful conditions (55.4%), dyspepsia (31.6%) and depression (22.8%). The three most prevalent concordant conditions were hypertension (61.4%), coronary heart disease (17.1%) and chronic kidney disease (8.5%). The three most common combinations of conditions were: painful conditions and hypertension (38.8%), painful conditions and dyspepsia (23.1%) and hypertension and dyspepsia (22.7%). We found no associations between any multimorbidity counts (total, concordant and discordant) or combinations and HbA1c.ConclusionsMultimorbidity was common in our cohort of people with T2D attending Australian general practice, but was not associated with glycaemia. Although we did not explore mortality in this study, our results suggest that the increased mortality in those with multimorbidity and T2D observed in other studies may not be linked to glycaemia. Interestingly, discordant conditions were more prevalent than concordant conditions with painful conditions being the second most common comorbidity. Better understanding of the implications of different patterns of multimorbidity in people with T2D will allow more effective tailored care.

Sign in / Sign up

Export Citation Format

Share Document