scholarly journals Ability of radiofrequency echographic multispectrometry to identify osteoporosis status in elderly women with type 2 diabetes

Author(s):  
Carla Caffarelli ◽  
Maria Dea Tomai Pitinca ◽  
Antonella Al Refaie ◽  
Elena Ceccarelli ◽  
Stefano Gonnelli

Abstract Background Patients with type 2 diabetes (T2DM) have an increased or normal BMD; however fragility fractures represent one of the most important complications of T2DM. Aims This study aimed to evaluate whether the use of the Radiofrequency Echographic multi spectrometry (REMS) technique may improve the identification of osteoporosis in T2DM patients. Methods In a cohort of 90 consecutive postmenopausal elderly (70.5 ± 7.6 years) women with T2DM and in 90 healthy controls we measured BMD at the lumbar spine (LS-BMD), at femoral neck (FN-BMD) and total hip (TH-BMD) using a dual-energy X-ray absorptiometry device; moreover, REMS scans were also carried out at the same axial sites. Results DXA measurements were all higher in T2DM than in non-T2DM women; instead, all REMS measurements were lower in T2DM than in non T2DM women. Moreover, the percentage of T2DM women classified as “osteoporotic”, on the basis of BMD by REMS was markedly higher with respect to those classified by DXA (47.0% vs 28.0%, respectively). On the contrary, the percentage of T2DM women classified as osteopenic or normal by DXA was higher with respect to that by REMS (48.8% and 23.2% vs 38.6% and 14.5%, respectively). T2DM women with fragility fractures presented lower values of both BMD-LS by DXA and BMD-LS by REMS with respect to those without fractures; however, the difference was significant only for BMD-LS by REMS (p < 0.05). Conclusions Our data suggest that REMS technology may represent a useful approach to enhance the diagnosis of osteoporosis in patients with T2DM.

2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Erhan Onalan ◽  
Nevzat Gozel ◽  
Emir Donder

Objective: To examine potential associations between neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, mean platelet volume (MPV), HbA1c and microvascular complications in diabetic patients from a cost-effectiveness perspective. Methods: One hundred patients with type 2 diabetes attending our outpatient unit between May 2018 and October 2018 were included, and 100 healthy individuals served as the control group. A retrospective file search was performed to collect information on hemoglobin, mean platelet volume (MPV), glycosylated haemoglobin (HbA1c), hematocrit (Hct), neutrophil and lymphocyte count, neutrophil/lymphocyte ratio (NLR), platelets (Plt), platelet/lymphocyte ratio (PLR), and microvascular complications (neuropathy, retinopathy, nephropathy). Results: Demographic and laboratory data were retrospectively controlled between diabetes (n=100) and healthy control (n=100) groups. The mean age in diabetic patients and healthy controls was 56.34 and 36.68 years, respectively. The mean NLR in diabetics and healthy controls was 2.48 and 2.11, the difference in NLR being significant (p=0.002). MPV in diabetics and controls was 8.54 and 8.53, respectively, and the difference was not significant (p=0.93). PLR was also similar, i.e. 149.7 and 145.3 in diabetics and healthy controls (p=0.067). With respect to microvascular complications, retinopathy was found to be significantly associated with MPV and NLR (p=0.015, and p=0.051), and nephropathy showed a significant association with NLR (p=0.027) among diabetics. In contrast with the two other microvascular complications, no significant association between neuropathy and NLR could be detected, while PLR and neuropathy was significantly associated (p=0.003). Conclusion: Microvascular complications may be associated with certain hematologic parameters, as suggested by comparisons both between diabetics and healthy individuals and within the group of diabetic individuals. We believe that hematologic parameters such as hematocrit, MPV, NLR, and PLR, which can be obtained through a simple complete blood count, may be utilized as cost-effective predictors of diabetic microvascular complications. Further prospective studies with larger sample size are required to better delineate these associations. doi: https://doi.org/10.12669/pjms.35.6.1150 How to cite this:Onalan E, Gozel N, Donder E. Can hematological parameters in type 2 diabetes predict microvascular complication development? Pak J Med Sci. 2019;35(6):1511-1515. doi: https://doi.org/10.12669/pjms.35.6.1150 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Masae Miyatani ◽  
Pearl Yang ◽  
Scott Thomas ◽  
B. Catharine Craven ◽  
Paul Oh

We aimed to compare the level of agreement between leg-to-leg bioelectrical impedance analysis (LBIA) and dual-energy X-ray absorptiometry (DXA) for assessing changes in body composition following exercise intervention among individuals with Type 2 diabetes mellitus (T2DM). Forty-four adults with T2DM, age53.2±9.1years; BMI30.8±5.9 kg/m2participated in a 6-month exercise program with pre and post intervention assessments of body composition. Fat free mass (FFM), % body fat (%FM) and fat mass (FM) were measured by LBIA (TBF-300A) and DXA. LBIA assessments of changes in %FM and FM post intervention showed good relative agreements with DXA variables (P<0.001). However, Bland-Altman plot(s) indicated that there were systematic errors in the assessment of the changes in body composition using LBIA compared to DXA such that, the greater the changes in participant body composition, the greater the disparity in body composition data obtained via LBIA versus DXA data (FFM,P=0.013; %FM,P<0.001; FM,P<0.001). In conclusion, assessment of pre and post intervention body composition implies that LBIA is a good tool for assessment qualitative change in body composition (gain or loss) among people with T2DM but is not sufficiently sensitive to track quantitative changes in an individual’s body composition.


2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Xu Jing Ling ◽  
Meng Huan Xin ◽  
He Lu ◽  
Wang Xian’E ◽  
Zhang Lin

Background. Serum ratio of leptin to adiponectin has been reported to be a useful index of insulin resistance. Since these two adipokines could also be involved in many immunoinflammatory reactions, this ratio might be associated with some inflammatory diseases such as periodontitis. The present study aims to explore the difference in serum ratio of leptin/adiponectin among patients with diabetes and periodontitis, patients with periodontitis only, and healthy people and find out the correlation between this ratio and periodontal parameters. Method. 15 patients with chronic periodontitis and type 2 diabetes, 15 patients with chronic periodontitis only, and 15 healthy controls were selected. Clinical indexes and periodontal parameters were recorded and serum leptin and adiponectin levels were tested by ELISA kits. Result. The ratio of leptin/adiponectin is significantly different among three groups; the T2 DM + CP group has the highest ratio (1.91±0.48) and the healthy group has the lowest ratio (0.65±0.13). What is more, the ratio of leptin/adiponectin has strong positive correlation with periodontal parameters (P<0.001). Conclusions. Chronic periodontitis could influence the level of adipokines in serum and change the ratio of leptin/adiponectin, and the effect would be enhanced combining with type 2 diabetes.


2020 ◽  
Vol 05 (07) ◽  
Author(s):  
Misnikova IV ◽  
Kovaleva YA ◽  
Polyakova EY ◽  
Vasilyevich DA

2018 ◽  
Vol 46 (3) ◽  
pp. 222-232 ◽  
Author(s):  
I. V. Misnikova ◽  
Yu. A. Kovaleva ◽  
N. A. Klimina ◽  
E. Yu. Polyakova

Background:Obesity is an important health problem, as its prevalence has reached an epidemic level and continues to increase steadily resulting in higher risk of cardiovascular diseases and metabolic disorders. Currently, new methods and criteria are being developed to assess fat and muscle mass, as well as criteria for diagnosing obesity and sarcopenia.Aim:To assess the quantitative composition of muscle and adipose tissue in type 2 diabetes mellitus patients based on the dual-energy X-ray absorptiometry for the diagnosis of obesity and sarcopenia.Materials and methods: We examined 42 type 2 diabetic in-patients admitted to the Department of Therapeutic Endocrinology. Dual-energy X-ray absorptiometry was performed in all patients with subsequent assessment of the composition of muscle and fat tissue.Results:If assessed by the body mass index, all patients had an excess body weight: median, 32.25 [29.75; 35.70]; in men, 31.3 [28.19; 34.63], in women, 32.29 [30.26; 36.54]. 26.2% of the patients (11/42) were overweight, but not obese. Female patients had more severe obesity than male (in total, 33.3% (10/30) of women had 2ndand 3rd degree of obesity, while men 16.7% (2/12)). The assessment by the fat mass index (FMI) showed that 2.4% (1/42) of the patients were normal-weight. Median FMI was 11.91 [10.40; 13.78] (in men, 8.86 [7.46; 12.1], in women, 12.35 [11.55; 15.47]). Overweight was found in 52.4% (22/42) of the patients; in total, 2ndand 3rddegree of obesity was observed in 25% (3/12) of the men and only in 6.6% (2/30) of the women. Median Appendicular Lean Mass Index (ALMI) in the total group was 7.99 [7.32; 9.05], being expectedly higher than in women: 9.19 [8.42; 9.45] and 7.58 [7.24; 8.49], respectively. Median T-score ALMI was 2.32 [1.73; 3.08], Z-score ALMI 2.15 [1.47; 3.54]. In general, there was a decrease in the appendicular muscle mass with age. There was an inverse correlation between the age and T-score ALMI (r = -0.319, р = 0.020), as well as between the age and Z-score ALMI (r = -0.634, p = 0.000). According to the results of T-score ALMI and Z-score ALMI, there were no patients with sarcopenia. However, the calculation of the T- and Z-criteria, corrected for fat mass, has led to a significant decrease of the medians of these parameters and allowed to identify a group of patients meeting the criteria of sarcopenia (97.6%, 41/42).Conclusion:Based on ALMI, T-ALMI, and Z-ALMI, there were no patients with sarcopenia. After these criteria were corrected for fat mass, the number of such patients increased to 97.6% (41/42) and 85.7% (36/42), respectively. The potential use of the adjusted T-ALMI (FMI) and Z-ALMI (FMI) as criteria for sarcopenia and muscle mass reduction compared to the age-related normal values, as well as the classification of obesity by FMI should be studied in large epidemiological studies in different populations.


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Elisabetta Bacchi ◽  
Valentina Cavedon ◽  
Carlo Zancanaro ◽  
Paolo Moghetti ◽  
Chiara Milanese

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