A Risk Assessment Tool for Identifying Osteoporosis in Older Women with Type 2 Diabetes Mellitus

2021 ◽  
Author(s):  
Fenghui Pan ◽  
Wenxia Cui ◽  
Lei Gao ◽  
Xiaoting Shi ◽  
Mingrui Zhang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Risk Assessment ◽  
Type 2 Diabetes Mellitus ◽  
Older Women ◽  
Risk Score ◽  
Assessment Tool ◽  
Risk Assessment Tool ◽  
Characteristic Analysis

Abstract Purpose To develop a simple and clinically useful assessment tool for osteoporosis in older women with type 2 diabetes mellitus (T2DM). Methods A total of 601 women over 60 years of age with T2DM were enrolled in this study. The levels of serum sex hormones and bone metabolism markers were compared between the osteoporosis and non-osteoporosis groups. The least absolute shrinkage and selection operator regularization (LASSO) model was applied to generate a risk assessment tool. The risk score formula was evaluated using receiver operating characteristic analysis and the relationship between the risk score and the bone mineral density (BMD) and T-value were investigated. Results Serum sex hormone-binding globulin (SHBG), cross-linked C-telopeptide of type 1 collagen (CTX), and osteocalcin (OC) were significantly higher in the osteoporosis group. After adjustment for age and body mass index (BMI), SHBG was found to be correlated with the T-value or BMD. Then, a risk score was specifically generated with age, BMI, SHBG, and CTX using the LASSO model. The risk score was significantly negatively correlated with the T-value and BMD of the lumbar spine, femoral neck, and total hip (all P<0.05). Conclusion A risk score using age, BMI, SHBG, and CTX performs well for identifying osteoporosis in older women with T2DM.

scholarly journals TYPE 2 DIABETES MELLITUS PREDICTION IN MALAYSIA USING MODIFIED DIABETES RISK ASSESSMENT TOOL

2020 ◽  
Vol 20 (1) ◽  
pp. 15-21
Author(s):  
Aung Myo Oo ◽  
Al-abed Ali Ahmed Al-abed ◽  
Ohn Mar Lwin ◽  
Sowmya Sham Kanneppady ◽  
Tee Yee Sim ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Risk Assessment ◽  
Type 2 Diabetes Mellitus ◽  
High Risk ◽  
Assessment Tool ◽  
Cost Effective ◽  
Risk Assessment Tool ◽  
Type 2 Dm

Type 2 diabetes mellitus (DM) is becoming major health threat worldwide and it is extremely common in clinical setting. Malaysia is one of the highest diabetic populations among Asian countries and the new cases are increasing day to day. Early detection of people with high risk of Type 2 DM by using simple, easy and cost-effective assessment tool is the better way to identify and prevent the community from this non-communicable disease. The objectives of the study were to identify those are high risk to become type 2DM among Malaysians by using risk scoring form and to educate them how to prevent it. Total 591 subjects were recruited from the health screening programs carried out by the collaboration of Petaling Jaya Development Council (MBPJ) and Lincoln University College, Malaysia. Modified form of Finnish Type 2 Diabetes Risk Assessment Tool was used to identify people at risk of becoming type 2 DM. Descriptive analysis was performed for all included variables in this study by using SPSS version 21. The study found out that almost half of the participants were found to have family history of DM, 60% of them were overweight and obese and 47% were having above normal waist circumference. We observed that nearly 60 % of participants in the study were having moderate to high risk of becoming type 2 DM in next 10 years. To conclude, the result of our study would be helpful in implementation of cost-effective, convenient Type 2 DM risk assessment tool which has yet to be implemented in Malaysia.

Risk assessment of adult residents in ile-ife, South-Western Nigeria for type 2 diabetes mellitus

2013 ◽  
pp. 1-1
Author(s):  
Gbadebo Ajani ◽  
Rosemary Ikem ◽  
Adenike Enikuomehin ◽  
David Soyoye ◽  
Babatope Kolawole
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Risk Assessment ◽  
Type 2 Diabetes Mellitus

scholarly journals Metabolomics-based multidimensional network biomarkers for diabetic retinopathy identification in patients with type 2 diabetes mellitus

2021 ◽  
Vol 9 (1) ◽  
pp. e001443
Author(s):  
Jingjing Zuo ◽  
Yuan Lan ◽  
Honglin Hu ◽  
Xiangqing Hou ◽  
Jushuang Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Permutation Test ◽  
Linear Regression Models ◽  
Characteristic Analysis ◽  
Network Biomarkers ◽  
Validation Set

IntroductionDespite advances in diabetic retinopathy (DR) medications, early identification is vitally important for DR administration and remains a major challenge. This study aims to develop a novel system of multidimensional network biomarkers (MDNBs) based on a widely targeted metabolomics approach to detect DR among patients with type 2 diabetes mellitus (T2DM) efficiently.Research design and methodsIn this propensity score matching-based case-control study, we used ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry system for serum metabolites assessment of 69 pairs of patients with T2DM with DR (cases) and without DR (controls). Comprehensive analysis, including principal component analysis, orthogonal partial least squares discriminant analysis, generalized linear regression models and a 1000-times permutation test on metabolomics characteristics were conducted to detect candidate MDNBs depending on the discovery set. Receiver operating characteristic analysis was applied for the validation of capability and feasibility of MDNBs based on a separate validation set.ResultsWe detected 613 features (318 in positive and 295 in negative ESI modes) in which 63 metabolites were highly relevant to the presence of DR. A panel of MDNBs containing linoleic acid, nicotinuric acid, ornithine and phenylacetylglutamine was determined based on the discovery set. Depending on the separate validation set, the area under the curve (95% CI), sensitivity and specificity of this MDNBs system were 0.92 (0.84 to 1.0), 96% and 78%, respectively.ConclusionsThis study demonstrates that metabolomics-based MDNBs are associated with the presence of DR and capable of distinguishing DR from T2DM efficiently. Our data also provide new insights into the mechanisms of DR and the potential value for new treatment targets development. Additional studies are needed to confirm our findings.

Prostate cancer genetic propensity risk score may modify the association between this tumour and type 2 diabetes mellitus (MCC-Spain study)

2021 ◽  
Author(s):  
Rocío Barrios-Rodríguez ◽  
Esther García-Esquinas ◽  
Beatriz Pérez-Gómez ◽  
Gemma Castaño-Vinyals ◽  
Javier Llorca ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Risk Score ◽  
Cancer Genetic

A Descriptive Study to Assess the Risk of Stroke among Patients with Hypertension and Type 2 Diabetes Mellitus at a Selected Hospital, Bangalore

2021 ◽  
Vol 6 (3) ◽  
pp. 407-412
Author(s):  
Leena Dorothy W ◽  
Pavithra C ◽  
Umadevi A K
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Risk Assessment ◽  
Type 2 Diabetes Mellitus ◽  
Stroke Risk ◽  
Family Type ◽  
Survey Method ◽  
Risk Category

Objective: Stroke is a major public health problem, both in developed and developing countries. Stroke is becoming an important cause of early death and disability in India due to increasing prevalence of the major key modifiable risk factors like type 2 diabetes mellitus and hypertension. Hence there is an urgent need for recognition of stroke risk factors and its warning signs. With this intention the present study aimed to assess the risk of stroke among patients with hypertension and type 2 diabetes mellitus. Methods: A non-experimental, descriptive survey method was adopted. Samples were selected by using quota sampling technique and 60 hypertensive and type 2 diabetes mellitus patients who met the inclusion criteria were selected for the study. Data were collected by an interview technique using a modified stroke risk assessment tool by the National Stroke Association, USA. Results: Out of 60 samples 48.3% of them were in high-risk category, 28.3% were in caution and 23.3% in low-risk category. There was a significant association found in relation to socio demographic variables such as education qualification, type of family, type of diet, weight and complications of hypertension (P<0.05). Discussion: The findings of the study suggested that there is an increased risk of stroke in hypertension and type 2 diabetes patients which can be aggravated by other risk factors and co-morbid conditions. Hence modifying these risk factors by changing lifestyle can help in prevention of stroke. Keywords: Stroke, risk assessment, hypertension and type 2 diabetes mellitus, comorbid conditions.

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