Age differences in diabetes-related complications and glycemic control

Shamshirgaran, Seyed Morteza; Mamaghanian, A.; Aliasgarzadeh, Akbar; Aiminisani, N.; Iranparvar-Alamdari, Manouchehr; Ataie, J.

doi:10.1186/s12902-017-0175-5

Cited by 75 publications

(58 citation statements)

References 22 publications

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“…Statistically significant and clinical important explanatory variables were included in multivariate analysis models. Covariates examined were HbA1c, diabetes duration, and BMI, which are routinely available and widely accepted to influence the clinical outcome of diabetes …”

Section: Methodsmentioning

confidence: 99%

Associations between circulating inflammatory markers, diabetes type and complications in youth

et al. 2019

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Background Inflammation is implicated in the pathogenesis of diabetes and its complications in adults. Little is known about the relative contribution of inflammation in common types of diabetes in youth: type 1 diabetes (T1D), type 2 diabetes (T2D), and cystic fibrosis‐related diabetes (CFRD). This study investigates inflammatory markers by diabetes type and complication status, and assesses indicators of inflammation and complications. Methods A cross‐sectional study of 134 T1D, 32 T2D, 32 CFRD and 48 subjects without diabetes (including 11 with CF and normal glucose tolerance) was undertaken. Inflammation was assessed by sE‐selectin by ELISA, hsCRP by turbidimetry, WCC and ESR. Nephropathy was defined by albuminuria, autonomic neuropathy by heart rate variability, and peripheral neuropathy by vibration and thermal threshold testing and retinopathy by seven‐field stereoscopic fundus photography. Descriptive statistics, parametric and non‐parametric ANOVA and regression analyses were performed, with significance at P < .05. Results Of 198 diabetic participants; 49% female, mean (SD) age, median diabetes duration and median HbA1c were 16 (2.5) and 6 (3–9) years, and 8.1 (6.9‐9.3)%, respectively. All inflammatory markers were lower in T1D than in other diabetes groups (P < .05) but higher than in non‐diabetic controls. T2D (n = 32) and CFRD (n = 32) subjects had comparable elevated levels of inflammation. Body mass index (BMI) was a strong independent explanatory variable of inflammation. In multivariate analysis, hsCRP and ESR were associated with complications in addition to HbA1c, BMI, and diastolic BP. Conclusions Circulating inflammatory markers are elevated in adolescents with diabetes, being higher and comparable in T2D and CFRD than in T1D. Inflammation is independently associated with diabetes complications, consistent with inflammation driving vascular pathology in diabetes.

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Section: Methodsmentioning

confidence: 99%

Associations between circulating inflammatory markers, diabetes type and complications in youth

et al. 2019

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“…Quality of Life (QOL), defined as "individual's perception of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards, and concerns" [7], is an important consideration in chronic disease management [8]. Health-Related Quality of Life (HRQOL) refers more specifically to these perceptions as they pertain to subjective impacts of physical, mental and social health states [9] and it is well recognised that the severe short and long-term complications arising from DM [10,11] can have a negative impact on HRQOL [12]. Previous studies have demonstrated that older adults with diabetes report poorer physical HRQOL than the general population [13].…”

Section: Introductionmentioning

confidence: 99%

Longitudinal assessment of the health-related quality of life among older people with diabetes: results of a nationwide study in New Zealand

et al. 2020

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Background: The current work examined experiences of Health-Related Quality of Life (HRQOL) among older adults with a diagnosis of Diabetes Mellitus (DM) over time compared to those without a diagnoses DM. Methods: The sample was drawn from six biennial waves of the New Zealand Health, Work and Retirement survey, a prospective population-based cohort study of older adults 55-70 years at baseline. Data on sociodemographic factors, health behaviours, chronic disease diagnoses and physical and mental HRQOL (SF-12v2) were obtained using six biennial surveys administered 2006-2016. Generalised Estimating Equation models, adjusted for timeconstant and -varying factors, were employed to compare HRQOL and its determinants over time for older adults with and without a diagnosis of DM. Results: DM was negatively associated with physical HRQOL [β (95% CI) − 7.43 (− 8.41, − 6.44)] with older adults affected by DM reporting scores 7.4 points lower than those without DM. Similarly, the mean Mental HRQOL score was lower among those affected by DM [β = − 4.97 (− 5.93, − 4.01)] however, scores increased over time for both groups (p < 0.001). Greater age, more chronic conditions, sight and sleep problems, obesity, lower annual income, and fewer years of education were predictors of poorer HRQOL among older adults.Conclusions: Older adults affected by diabetes experienced poorer physical and mental HRQOL compared to those not affected when controlling for a range of sociodemographic and health related indices. A management aim must be to minimise the gap between two groups, particularly as people age.

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“…In strati ed analysis, we reanalyzed the data for gender and age groups, and we showed that DM only in females and patients younger than 65 years increased the risk of death. Previous observations con rmed the age and gender differences in glycemic control and treatment responses in diabetic patients [26][27][28][29][30]. According to the evidence, women with DM are less likely to reach the ideal level of hemoglobin A1c (HbA1c) compared with men [26,27,30].…”

Section: Discussionmentioning

confidence: 99%

“…The risk of all-cause mortality was higher in females with DM. Moreover, surveys showed that younger adults have poorer glycemic control compared to older diabetic patients [28,29]. These issues are of great importance in interpreting the ndings of epidemiological studies.…”

Section: Discussionmentioning

confidence: 99%

Risk and predictors of in-hospital mortality from COVID-19 in patients with diabetes and cardiovascular disease

Rastad

Karim

Ejtahed

et al. 2020

Preprint

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Background: Diabetes mellitus (DM) and cardiovascular disease (CVD) are present in a large number of patients with novel Coronavirus disease 2019 (COVID-19). We aimed to determine the risk and predictors of in-hospital mortality from COVID-19 in patients with DM and CVD.Methods: This retrospective cohort study included hospitalized patients aged ≥ 18 years with confirmed COVID-19 in Alborz province, Iran, from 20 February 2020 to 25 March 2020. Data on demographic, clinical and outcome (in-hospital mortality) data were obtained from electronic medical records. Self-reported comorbidities were classified into the following groups: “DM” (having DM with or without other comorbidities), “only DM” (having DM without other comorbidities), “CVD” (having CVD with or without other comorbidities), “only CVD” (having CVD without other comorbidities), and “having any comorbidity”. Multivariate logistic regression models were fitted to quantify the risk and predictors of in-hospital mortality from COVID-19 in patients with these comorbidities.Results: Among 2957 patients with COVID-19, 2656 were discharged as cured, and 301 died. In multivariate model, DM (OR: 1.62 (95%CI: 1.14-2.30)) and only DM (1.69 (1.05-2.74)) increased the risk of death from COVID-19; but, both CVD and only CVD showed non-significant associations (p>0.05). Moreover, “having any comorbidities” increased the risk of in-hospital mortality from COVID-19 (OR: 2.66 (95%CI: 2.09 -3.40)). Significant predictors of mortality from COVID-19 in patients with DM were lymphocyte count, creatinine and C-reactive protein (CRP) level (all P- values < 0.05).Conclusions: Our findings suggest that diabetic patients have an increased risk of in-hospital mortality following COVID-19; also, lymphocyte count, creatinine and CRP concentrations could be considered as significant predictors for the death of COVID-19 in these patients.

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Age differences in diabetes-related complications and glycemic control

Cited by 75 publications

References 22 publications

Associations between circulating inflammatory markers, diabetes type and complications in youth

Associations between circulating inflammatory markers, diabetes type and complications in youth

Longitudinal assessment of the health-related quality of life among older people with diabetes: results of a nationwide study in New Zealand

Risk and predictors of in-hospital mortality from COVID-19 in patients with diabetes and cardiovascular disease

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