Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify undetected type 2 diabetes, abnormal glucose tolerance and metabolic syndrome

2005 ◽  
Vol 2 (2) ◽  
pp. 67-72 ◽  
Author(s):  
Timo Saaristo ◽  
Markku Peltonen ◽  
Jaana Lindström ◽  
Liisa Saarikoski ◽  
Jouko Sundvall ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Glucose Tolerance ◽  
Risk Score ◽  
Diabetes Risk ◽  
Abnormal Glucose Tolerance ◽  
Cross Sectional ◽  
Diabetes Risk Score

scholarly journals The Efficacy of New Chinese Diabetes Risk Score in Screening Undiagnosed Type 2 Diabetes and Prediabetes: A Community-Based Cross-Sectional Study in Eastern China

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Tao Mao ◽  
Jiayan Chen ◽  
Haijian Guo ◽  
Chen Qu ◽  
Chu He ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Eastern China ◽  
Cross Sectional Study ◽  
Diabetes Risk ◽  
Undiagnosed Diabetes ◽  
Cross Sectional ◽  
Community Residents ◽  
Diabetes Risk Score

The New Chinese Diabetes Risk Score (NCDRS) is one of the recommended tools for screening undiagnosed type 2 diabetes in China. However, its performance in detecting undiagnosed diabetes needs to be verified in different community populations. Also, it is unknown whether NCDRS can be used in detecting prediabetes. In the present study, we aimed to evaluate the performance of NCDRS in detecting undiagnosed diabetes and prediabetes among the community residents in eastern China. We applied NCDRS in 7675 community residents aged 18-65 years old in Jiangsu Province. The results showed that the participants with undiagnosed diabetes reported the highest NCDRS value, followed by those with prediabetes (P<0.001). The best cut-off points of NCDRS for detecting undiagnosed diabetes and prediabetes were 27 (with a sensitivity of 78.0% and a specificity of 57.7%) and 27 (with a sensitivity of 66.0% and a specificity of 62.9%). The AUCs of NCDRS for identifying undiagnosed diabetes and prediabetes were 0.749 (95% CI: 0.739~0.759) and 0.694 (95% CI: 0.683~0.705). These results demonstrate the excellent performance of NCDRS in screening undiagnosed diabetes in the community population in eastern China and further provide evidence for using NCDRS in detecting prediabetes.

scholarly journals Diagnostic accuracy of the Finnish Diabetes Risk Score for the prediction of undiagnosed type 2 diabetes, prediabetes, and metabolic syndrome in the Lebanese University.

2020 ◽  
Author(s):  
Maher Abdallah ◽  
Safa SHARBAJI ◽  
Marwa SHARBAJI ◽  
Zeina DAHER ◽  
Tarek FAOUR ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Risk Score ◽  
Diabetes Risk ◽  
Oral Glucose ◽  
Sample Population ◽  
Non Invasive ◽  
The Metabolic Syndrome ◽  
Diabetes Risk Score

Abstract Background: Risk scores were mainly proved to predict undiagnosed type 2 diabetes mellitus (UT2DM) in a non-invasive manner and to guide earlier clinical treatment. The objective of the present study was to assess the performance of the Finnish Diabetes Risk Score (FINDRISC) for detecting three outcomes: UT2DM, prediabetes, and the metabolic syndrome (MS).Methods: This was a prospective, cross-sectional study during which employees aged between 30 and 64, with no known diabetes and working within the faculties of the Lebanese University (LU) were conveniently recruited. Participants completed the FINDRISC questionnaire and their glucose levels were examined using both fasting blood glucose (FBG) and oral glucose tolerance tests (OGTT). Furthermore, they underwent lipid profile tests with anthropometry.Results: Of 713 subjects, 397 subjects (55.2% female; 44.8% male) completed the blood tests and thus were considered as the sample population. 7.6% had UT2DM, 22.9% prediabetes and 35.8% had MS, where men had higher prevalence than women for these 3 outcomes (P = 0.001, P = 0.003 and P = 0.001) respectively. The AUROC value with 95% Confidence Interval (CI) for detecting UT2DM was 0.795 (0.822 in men and 0.725 in women), 0.621(0.648 in men and 0.59 in women) for prediabetes and 0.710 (0.734 in men and 0.705 in women) for MS. The correspondent optimal cut-off point for UT2DM was 11.5 (sensitivity = 83.3% and specificity = 61.3%), 9.5 for prediabetes (sensitivity = 73.6% and specificity = 43.1%) and 10.5 (sensitivity = 69.7%; specificity = 56.5%) for MS.Conclusion: The FINDRISC can be considered a simple, quick, inexpensive, and non-invasive instrument to use in a Lebanese community of working people who are unaware of their health status and who usually report being extremely busy because of their daily hectic work for the screening of UT2DM and MS. However, it poorly screens for prediabetes in this context.

scholarly journals Risk assessment of type-2 diabetes using the Indian diabetes risk score: a cross-sectional study on medical students from a tertiary care hospital

2021 ◽  
Vol 8 (12) ◽  
pp. 6017
Author(s):  
Aditya Pandey ◽  
Amit Patel
Keyword(s):  
Type 2 Diabetes ◽  
Medical Students ◽  
High Risk ◽  
Risk Score ◽  
Cross Sectional Study ◽  
Diabetes Risk ◽  
Sectional Study ◽  
Cross Sectional ◽  
Diabetes Risk Score

Background: Diabetes mellitus is a major public health problem which affects all age groups and has now been identified in young. Indian diabetes risk score (IDRS), devised and developed by Mohan et al. at the Madras Diabetes Research Foundation, is a validated tool to identify individuals with high risk of developing type 2 diabetes mellitus.Methods: Present cross-sectional study was conducted among medical students of a medical college in Jhansi from June 2021 to September 2021. A semi-structured interview schedule for socio demographic details of subjects like age, gender, education/occupation of parents and physical activity. Written informed consent was taken. Statistical analysis used was SPSS trial version was used for data analysis. P<0.05 was considered as statistically significant.Results: A total of 300 medical students were included in the study. IDRS categorization revealed 10 (3.3%) respondents had score >60 (high risk) and 84 (28%) respondents had score between 30-50 (moderate risk). While 206 (68.6%) respondent had score <30 (low risk).Conclusions: Our study supports the use of IDRS method as screening of diabetes at mass level as it is cost effective as well as time saving procedure.

scholarly journals Diagnostic accuracy of the Finnish Diabetes Risk Score for the prediction of undiagnosed type 2 diabetes, prediabetes, and metabolic syndrome in the Lebanese University

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Maher Abdallah ◽  
Safa Sharbaji ◽  
Marwa Sharbaji ◽  
Zeina Daher ◽  
Tarek Faour ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Risk Score ◽  
Diabetes Risk ◽  
Oral Glucose ◽  
Sample Population ◽  
Non Invasive ◽  
The Metabolic Syndrome ◽  
Diabetes Risk Score

Abstract Background Risk scores were mainly proved to predict undiagnosed type 2 diabetes mellitus (UT2DM) in a non-invasive manner and to guide earlier clinical treatment. The objective of the present study was to assess the performance of the Finnish Diabetes Risk Score (FINDRISC) for detecting three outcomes: UT2DM, prediabetes, and the metabolic syndrome (MS). Methods This was a prospective, cross-sectional study during which employees aged between 30 and 64, with no known diabetes and working within the faculties of the Lebanese University (LU) were conveniently recruited. Participants completed the FINDRISC questionnaire and their glucose levels were examined using both fasting blood glucose (FBG) and oral glucose tolerance tests (OGTT). Furthermore, they underwent lipid profile tests with anthropometry. Results Of 713 subjects, 397 subjects (55.2% female; 44.8% male) completed the blood tests and thus were considered as the sample population. 7.6% had UT2DM, 22.9% prediabetes and 35.8% had MS, where men had higher prevalence than women for these 3 outcomes (P = 0.001, P = 0.003 and P = 0.001) respectively. The AUROC value with 95% Confidence Interval (CI) for detecting UT2DM was 0.795 (0.822 in men and 0.725 in women), 0.621(0.648 in men and 0.59 in women) for prediabetes and 0.710 (0.734 in men and 0.705 in women) for MS. The correspondent optimal cut-off point for UT2DM was 11.5 (sensitivity = 83.3% and specificity = 61.3%), 9.5 for prediabetes (sensitivity = 73.6% and specificity = 43.1%) and 10.5 (sensitivity = 69.7%; specificity = 56.5%) for MS. Conclusion The FINDRISC can be considered a simple, quick, inexpensive, and non-invasive instrument to use in a Lebanese community of working people who are unaware of their health status and who usually report being extremely busy because of their daily hectic work for the screening of UT2DM and MS. However, it poorly screens for prediabetes in this context.

Assessment of risk of type 2 diabetes using simplified Indian Diabetes Risk Score - Community-based cross-sectional study

2016 ◽  
Vol 5 (12) ◽  
pp. 2522
Author(s):  
Krutarth Brahmbhatt ◽  
Tamal Chakraborty ◽  
Chandana Gopal ◽  
Shwethashree M ◽  
Sajjan Madappady ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Cross Sectional Study ◽  
Diabetes Risk ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Diabetes Risk Score
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