scholarly journals Different type 2 diabetes risk assessments predict dissimilar numbers at risk: a cross-sectional analysis of diabetes risk-assessment tools

2020 ◽  
Vol 10 (3) ◽  
pp. 159-167
Author(s):  
Nazma Akter
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Risk Score ◽  
Diabetes Risk ◽  
Assessment Tools ◽  
Cross Sectional ◽  
Type2 Diabetes ◽  
Risk Assessment Tools ◽  
Sectional Analysis ◽  
Diabetes Risk Score

Background: Use of a validated risk-assessment tool to identify individuals at high risk of developing type2 diabetes is currently recommended. It is under-reported, however, whether a different risk tool alters the predicted risk of an individual. This study explored any differences between two commonly used validated risk-assessment tools for type2 diabetes. Methods: This is a cross-sectional study conducted between July 2018 and June 2019 in the medicine outpatient department of a tertiary care hospital in Dhaka, Bangladesh. Total 518 subjects, aged ranging from 22 to 68 years was included in the study. Randomly sampled non- diabetic subjects, and those who had previous history of high blood glucose during pregnancy or other health examination (i.e. impaired fasting glucose, impaired glucose tolerance or gestational diabetes mellitus) were included for the study. With written informed consent, both the Indian Diabetes Risk Score (IDRS) and the Finnish Diabetes Risk Score (FINDRISC) questionnaire were used to collect the data including demographic characteristics and different risk factors of an individual subject, and to calculate total risk score for predictors the risk of developing T2DM within 10 years. Results: Among 518 subjects, 48.1% were male and 51.9% were female. Differences between the risk-assessment tools were apparent following cross-sectional analysis of individuals. IDRS (Indian Diabetes Risk Score) categorized 37.8 % (male vs. female: 14.8 % vs. 23.0%) of individuals at high risk. Whereas, 8.3% (male vs. female: 1.9% vs. 6.4%) were at high risk according to FINDRISC (Finish Diabetes Risk Score) system. Conclusions: The results indicate that the prevalence of participants at risk for developing type 2 diabetes varies considerably according to the scoring system used. To adequately prevent type2 diabetes, risk scoring systems must be validated for each population considered. Birdem Med J 2020; 10(3): 159-167

Comparison of IDRS and ADA Diabetes Risk Assessment Tools Reveals Different Rsk Score in Same Population: A Cross-Sectional Analysis in a Tertiary Care Hospital

2021 ◽  
Vol 5 (1) ◽  
pp. 10-18
Author(s):  
N. Akter ◽  
N.K. Qureshi
Keyword(s):  
Type 2 Diabetes ◽  
Risk Assessment ◽  
High Risk ◽  
Risk Score ◽  
Diabetes Risk ◽  
Assessment Tools ◽  
Cross Sectional ◽  
Risk Assessment Tools ◽  
Predicted Risk

Background: To identify individuals at high risk of developing type2 diabetes (T2DM), use of a validated risk-assessment tool is currently recommended. Nevertheless, recent studies have shown that risk scores that are developed in the same country can lead to different results of an individual. The Objective of study was to reveal whether two different risk-assessment tools predict similar or dissimilar high-risk score in same population. Method: This cross-sectional analytical study was carried upon 336 non-diabetic adults visiting the outpatient department (OPD) of Medicine, MARKS Medical College & Hospital, Bangladesh from October 2018 to March 2019. Woman having previous history of Gestational Diabetes Mellitus (GDM) were also included. Both the Indian Diabetes risk Score (IDRS) and the American Diabetes (ADA) Risk Score questionnaire were used to collect the data on demographic and clinical characteristics, different risk factors of an individual subject, and to calculate predicted risk score for developing T2DM. Results: Among 336 subjects, 53.6% were female. The mean (±SD) age of the study subjects was 38.25±1.12 years. The average IDRS predicted risk score of developing T2DM was more in female subjects than male [p<0.05]. Whereas the ADA predicted increased risk score of developing type 2 diabetes was more in male subjects than female (p<0.05). IDRS categorized 37.2 % of individuals at high risk for developing diabetes; [p=0.10], while the ADA risk tool categorized 20.2% subjects in high risk group; [p<0.001]. Conclusions: The results indicate that risk for developing type 2 diabetes varies considerably according to the scoring system used. To adequately prevent T2DM, risk scoring systems must be validated for each population considered.

scholarly journals Prediction of the risk of developing diabetes mellitus among Bangladeshi adults by using risk assessment score

2019 ◽  
Vol 10 (1) ◽  
pp. 40-47
Author(s):  
Nazma Akter
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Risk Assessment ◽  
Blood Glucose ◽  
High Risk ◽  
Risk Score ◽  
Diabetes Risk ◽  
High Blood Glucose ◽  
History Of ◽  
Diabetes Risk Score

Background: Diabetes mellitus (DM) is considered as one of the major health problems worldwide. The rising prevalence of type 2 diabetes mellitus (T2DM) in Bangladesh is primarily attributed to rapid urbanization and associated changes in lifestyle, such as sedentary lifestyle, higher calorie food intake and stressful life. Studies support the utilization of riskassessment scoring systems in quantifying individual’s risk for developing T2DM. Thus, a simple risk-assessment scoring system for early screening of T2DM among Bangladeshi adults will be beneficial to identify the high-risk adults and thus taking adequate preventive measures in combating DM.The purpose of the study was to calculate the risk assessment score of developing T2DM within 10 years among Bangladeshi adults. Methods: The cross-sectional observational study was carried out in the outpatient department (OPD) of Medicine, MARKS Medical College & Hospital, a tertiary care hospital in Dhaka, Bangladesh from February 2018 to July 2018 among randomly sampled 205 adult subjects. Subjects undiagnosed with diabetes mellitus and had previous history of high blood glucose during pregnancy or other health examination (i.e. impaired fasting glucose, impaired glucose tolerance or gestational diabetes mellitus) were included. From a review of literature regarding risk factors of developing DM in Bangladesh, the Finnish Diabetes Risk Score (FINDRISC) system was found to be more useful for the Bangladeshi adults. The Finnish Diabetes Risk Score (FINDRISC) questionnaire was used to collect the data including demographic characteristics and different risk factors and to calculate total risk score for predicting the risk of developing T2DM within 10 years. Results: Among 205 subjects, male and female were 57.1% and 42.9% respectively. The Mean (±SD) age of the study subjects was 37.64±1.07 years. In this study, both non-modifiable and modifiable risk factors showed statistically significant association with the FINDRISC among Bangladeshi adults (p<0.05). There was a significant association among FINDRISC with history of previous high blood glucose, and treated hypertensive Bangladeshi adults.33.65% of the Bangladeshi adults had slightly elevated diabetes risk score (DRS). This study predicts that 17.55% of the Bangladeshi adults may have moderate to high risk to develop T2DM within the consecutive 10 years. Conclusion: This study provides a simple, feasible, non-invasive and convenient screening FINDRISC tool that identifies individuals at risk of having T2DM. People with high risk of DM should be referred for early intervention and changes to a healthy lifestyle and primary prevention to prevent or delay the onset of T2DM. Birdem Med J 2020; 10(1): 40-47

scholarly journals Prediction of risk of type 2 diabetes mellitus using Indian diabetes risk score: a cross sectional study in urban field practice area of a medical college, Bagalkot

2018 ◽  
Vol 5 (7) ◽  
pp. 2853
Author(s):  
Basavaraj S. Mannapur ◽  
Bhagyalaxmi S. Sidenur ◽  
Ashok S. Dorle
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Cross Sectional Study ◽  
Diabetes Risk ◽  
Risk Category ◽  
Cross Sectional ◽  
Medical College ◽  
High Risk Category ◽  
Field Practice ◽  
Diabetes Risk Score

Background: Diabetes is considered as a global emergency where a person dies from diabetes every 6 seconds and diabetes is seen on 1 in 11 adults. Identification of individuals who are at risk is very much necessary to prevent diabetes in India. IDRS could also help to detect people at risk of having prediabetes. The objective of the study were to estimate the prevalence of diabetes mellitus in the age group of >20 years in urban field practice area of S.N. Medical college, Bagalkot and to identify high risk subjects using Indian diabetes risk score (IDRS).Methods: A cross sectional study was done in urban field practice area of S.N. Medical College among adults >20 years of age with sample size of 207. Systematic random sampling was used to select the subjects. Data was collected using standardised questionnaire which included socio-demographic profile, standard glucometer was used to measure random blood glucose for all participants. IDRS was used to ascertain the risk of developing diabetes. Data was analysed using Pearson’s Chi square test and Fischer exact.Results: The overall prevalence of diabetes was 14.1%. Among 206 subjects, 4.8% were in low risk category. 39.6% and 55.1% were in moderate and high risk category respectively. Total of 11 subjects were newly diagnosed in our study. Among them 10 subjects were in the high risk category and 1 was in the low risk category. Sensitivity of IDRS was 90%, specificity 50%, positive predictive value 43.8% and negative predictive value 96.74%..Conclusions: This study estimates the usefulness of simplified Indian diabetes risk score for identifying high risk diabetic subjects in the community. It can be used routinely in commu­nity-based screening to find out high risk people for diabetes so that proper intervention can be done to reduce the burden of the disease. 

scholarly journals Validation of the Finnish diabetes risk score (FINDRISC) for the Caucasian population of Siberia

2016 ◽  
Vol 19 (2) ◽  
pp. 113-118 ◽  
Author(s):  
Svetlana V. Mustafina ◽  
Oksana D. Rymar ◽  
Olga V. Sazonova ◽  
Liliya V. Shcherbakova ◽  
Michail I. Voevoda
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Risk Score ◽  
Adult Population ◽  
Risk Groups ◽  
Diabetes Risk ◽  
Receiver Operating Curve ◽  
Siberian Population ◽  
Cross Sectional ◽  
Diabetes Risk Score

Aim. A validation of the Finnish diabetes risk score (FINDRISC) was conducted among the Siberian population. FINDRISC was used to study the prevalence of risk factors for type 2 diabetes mellitus (T2DM) and to estimate the incidence of T2DM in high-risk groups during a 10-year observation period. Materials and methods. A total of 9,360 subjects aged between 45 and 69 years were enrolled in this cross-sectional, population-based study. FINDRISC was used to group 8,050 people without diabetes according to their risk for T2DM. Statistical analysis was performed using SPSS. Results. When a cutoff point of 11 was used to identify those with diabetes, sensitivity was 76. 0% and specificity was 60. 2%. The area under the receiver operating curve for diabetes was 0. 73 (0. 73 for men and 0. 70 for women). More than one-third (31. 7%) of the adult population of Novosibirsk was estimated to have medium, high or very high risk of developing T2DM in the next 10 years. Cases of T2DM estimated to occur during the 10 years of follow-up had significantly higher incidence of risk factors such as BMI ≥30 kg/m2, waist circumference 102 cm in men and 88 cm in women and a family history of T2DM and were more likely to take drugs to lower blood pressure. Conclusion. FINDRISC provided good results in our sample, and we recommend its use in the Siberian population. 

scholarly journals Prevalence and susceptibility to diabetes mellitus using Indian diabetic risk score

2018 ◽  
Vol 5 (9) ◽  
pp. 4119
Author(s):  
Divya S. ◽  
Radhamani M. V. ◽  
Kiran Ravi ◽  
Deepa S.
Keyword(s):  
Diabetes Mellitus ◽  
High Risk ◽  
Risk Score ◽  
Age Of Onset ◽  
Age Groups ◽  
Educational Status ◽  
Diabetes Risk ◽  
Undiagnosed Diabetes ◽  
Cross Sectional ◽  
Diabetes Risk Score

Background: India is the diabetes capital of the world. The burden of diabetes mellitus is increasing daily. If people with higher risk for diabetes are identified before the disease has developed, then some interventions could be undertaken to reduce the modifiable risk factors. Objective of the study was to identify the high risk subjects by using Indian diabetes risk score (IDRS) for detecting undiagnosed diabetes among people aged above twenty five years in rural area of Thrissur.Methods: A cross-sectional study was conducted among 262 inhabitants above 25 in Thrissur. Fasting blood sugar within 3 months prior was noted. The risk of diabetes was assessed using Indian Diabetes Risk Score and grouped into low, moderate and high risk.Results: Majority were females (58.4%) and (80.5%) reported either of their parents as diabetic. Waist circumference was higher for majority. Most (62.2%) people had regular exercise. 199 (76%) had moderate risk. 92% were at moderate to high risk of developing diabetes. Higher the risk score higher was the FBS, and was statistically significant (p=0.035). IDRS was statistically significant with the educational status (p=0.023) and sex (0.000). Forty four (16.8%) were diabetic, 60 (22.9%) hypertensive and 12 (4.6%) had coronary artery disease.Conclusions: There is a shift in age of onset to younger age groups. Hence, the early identification of at risk individuals and appropriate intervention help to prevent, or delay, the onset of complications. This definitely suggests the importance of IDRS for identifying undiagnosed high risk diabetes.

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.

Suicide risk assessment in a large public mental health service: do suicide risk classifications identify those at risk?

2021 ◽  
pp. 103985622098403
Author(s):  
Marianne Wyder ◽  
Manaan Kar Ray ◽  
Samara Russell ◽  
Kieran Kinsella ◽  
David Crompton ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Risk Assessment ◽  
High Risk ◽  
Suicide Risk ◽  
Public Mental Health ◽  
Assessment Tools ◽  
Suicide Risk Assessment ◽  
Public Mental Health Service ◽  
Risk Assessment Tools

Introduction: Risk assessment tools are routinely used to identify patients at high risk. There is increasing evidence that these tools may not be sufficiently accurate to determine the risk of suicide of people, particularly those being treated in community mental health settings. Methods: An outcome analysis for case serials of people who died by suicide between January 2014 and December 2016 and had contact with a public mental health service within 31 days prior to their death. Results: Of the 68 people who had contact, 70.5% had a formal risk assessment. Seventy-five per cent were classified as low risk of suicide. None were identified as being at high risk. While individual risk factors were identified, these did not allow to differentiate between patients classified as low or medium. Discussion: Risk categorisation contributes little to patient safety. Given the dynamic nature of suicide risk, a risk assessment should focus on modifiable risk factors and safety planning rather than risk prediction. Conclusion: The prediction value of suicide risk assessment tools is limited. The risk classifications of high, medium or low could become the basis of denying necessary treatment to many and delivering unnecessary treatment to some and should not be used for care allocation.

scholarly journals A diabetes risk score for Qatar utilizing a novel mathematical modeling approach to identify individuals at high risk for diabetes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Susanne F. Awad ◽  
Soha R. Dargham ◽  
Amine A. Toumi ◽  
Elsy M. Dumit ◽  
Katie G. El-Nahas ◽  
...  
Keyword(s):  
High Risk ◽  
Sensitivity And Specificity ◽  
Risk Score ◽  
Area Under The Curve ◽  
Diabetes Risk ◽  
Predictive Values ◽  
Predictive Variables ◽  
Comparable Performance ◽  
Representative Random Sample ◽  
Diabetes Risk Score

AbstractWe developed a diabetes risk score using a novel analytical approach and tested its diagnostic performance to detect individuals at high risk of diabetes, by applying it to the Qatari population. A representative random sample of 5,000 Qataris selected at different time points was simulated using a diabetes mathematical model. Logistic regression was used to derive the score using age, sex, obesity, smoking, and physical inactivity as predictive variables. Performance diagnostics, validity, and potential yields of a diabetes testing program were evaluated. In 2020, the area under the curve (AUC) was 0.79 and sensitivity and specificity were 79.0% and 66.8%, respectively. Positive and negative predictive values (PPV and NPV) were 36.1% and 93.0%, with 42.0% of Qataris being at high diabetes risk. In 2030, projected AUC was 0.78 and sensitivity and specificity were 77.5% and 65.8%. PPV and NPV were 36.8% and 92.0%, with 43.0% of Qataris being at high diabetes risk. In 2050, AUC was 0.76 and sensitivity and specificity were 74.4% and 64.5%. PPV and NPV were 40.4% and 88.7%, with 45.0% of Qataris being at high diabetes risk. This model-based score demonstrated comparable performance to a data-derived score. The derived self-complete risk score provides an effective tool for initial diabetes screening, and for targeted lifestyle counselling and prevention programs.

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