AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures

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.

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105RANDOM NON-FASTING C-PEPTIDE CAN BE USED AS A RISK ASSESSMENT TOOL FOR HYPOGLYCAEMIA IN ELDERLY NSULIN-TREATED PATIENTS WITH TYPE 2 DIABETES

Age and Ageing ◽

10.1093/ageing/afx061.105 ◽

2017 ◽

Vol 46 (suppl_1) ◽

pp. i27-i27

Author(s):

S V Hope ◽

B A Knight ◽

B M Shields ◽

A Hill ◽

P Choudhary ◽

...

Keyword(s):

Type 2 Diabetes ◽

Risk Assessment ◽

Assessment Tool ◽

Risk Assessment Tool ◽

C Peptide

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

Experimental and Clinical Endocrinology & Diabetes ◽

10.1055/a-1702-5168 ◽

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.

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