Derivation of a diabetes risk score and validation of existing screening tools in rural Kerala, India

2011 ◽  
Vol 152 ◽  
pp. S32-S33
Author(s):  
Thirunavukkarasu Sathish ◽  
Kannan Srinivasan ◽  
P.S. Sarma ◽  
K.R. Thankappan
Keyword(s):  
Risk Score ◽  
Diabetes Risk ◽  
Screening Tools ◽  
Diabetes Risk Score

scholarly journals Community Based Screening for Diabetes and Prediabetes using the Indian Diabetes Risk Score among Adults in a Semi-Urban Area in Kathmandu, Nepal

2019 ◽  
Vol 21 (1) ◽  
pp. 12-20
Author(s):  
Vinutha Silvanus ◽  
N Dhakal ◽  
A Pokhrel ◽  
BK Baral ◽  
PP Panta
Keyword(s):  
High Risk ◽  
Urban Area ◽  
Risk Score ◽  
Plasma Glucose ◽  
Diabetes Risk ◽  
Low Risk ◽  
Screening Tools ◽  
Community Based ◽  
Family History Of Diabetes ◽  
Diabetes Risk Score

 Diabetes has been recognized as a “global health emergency” with an estimated 9% of adults being affected. However, about half of these adults remain undiagnosed. Conventional screening tools like fasting plasma glucose (FPG), oral glucose tolerance testing (OGTT) and glycosylated haemoglobin (HbA1c) can be inconvenient and expensive in a community-based setting. The Indian Diabetes Risk Score (IDRS) is a simple, non-invasive tool which has been validated for use in the Indian population. Age, abdominal obesity, family history of diabetes and physical activity levels have been weighted for a maximum score of 100. Persons with IDRS of <30 are categorized as low risk, 30-50 as medium risk and those with > 60 as high risk for diabetes. A community based, cross-sectional, analytical study was planned to assess the performance of IDRS among adults in a semi-urban area in Kathmandu, Nepal. A total of 256 (170 female, 86 male) persons without diabetes from 260 households were screened during the study period. A majority (46.09%) were classified as high risk, 44.53% as moderate risk and 9.38% as low risk for developing diabetes. Among them, 162 (63.28%) volunteered for definitive testing. The prevalence of undiagnosed diabetes and prediabetes was 4.32% (95% CI: 1.75% to 8.70%) and 7.14% (95% CI: 3.89% to 12.58%) respectively. IDRS predicted the combined risk of diabetes and prediabetes with sensitivity of 84.21% and specificity of 55.24% in adults with score of 60 and above. The area under the ROC curve (AUC) of IDRS for identifying diabetes and prediabetes was 0.69 as compared to the gold standard (2hour Plasma Glucose) AUC of 0.98. IDRS may be a suitable screening tool for diabetes and prediabetes in the adult Nepalese study population.

Abstract # OR-20: External Validation of the Leicester Self-Assessment Diabetes Risk Score in a Population with Intellectual Disability

2016 ◽  
Vol 22 ◽  
pp. 12
Author(s):  
Laura Gray ◽  
Yogini Chudasama ◽  
Alison Dunkley ◽  
Freya Tyrer ◽  
Rebecca Spong ◽  
...  
Keyword(s):  
Intellectual Disability ◽  
Risk Score ◽  
External Validation ◽  
Diabetes Risk ◽  
Self Assessment ◽  
Diabetes Risk Score

Evaluación del desempeño del Finnish Diabetes Risk Score (findrisc) como prueba de tamizaje para diabetes mellitus tipo 2

2017 ◽  
Vol 25 (1) ◽  
Author(s):  
Indira Rocío Mendiola Pastrana ◽  
Irasema Isabel Urbina Aranda ◽  
Alejandro Edgar Muñoz Simón ◽  
Guillermina Juanico Morales ◽  
Geovani López Ortiz
Keyword(s):  
Diabetes Mellitus ◽  
Risk Score ◽  
Diabetes Risk ◽  
De Medicina ◽  
Diabetes Risk Score

<p><span><strong>Objetivo:</strong> evaluar el desempeño del <em>Finnish Diabetes Risk Score</em> (findrisc) como prueba de tamizaje para diabetes mellitus tipo 2 (dm2). <strong>Métodos:</strong> estudio de validación de prueba diagnóstica. Se seleccionaron 295 participantes sin diagnóstico de dm2, adscritos a una unidad de medicina familiar de Acapulco, Guerrero, México, mediante muestreo aleatorio simple. Se aplicó el cuestionario findrisc para calificar el nivel de riesgo para desarrollo de dm2. Se realizó toma de glucosa en ayuno como estándar de oro para diagnóstico de dm2. Se realizó prueba de </span><span>χ</span><span>2 de Mantel y Haenszel y cálculo de or para medir la asociación y la magnitud de ésta, así como el cálculo de sensibilidad, especificidad y valores predictivos para evaluar el desempeño del cuestionario. <strong>Resultados:</strong> se determinó que 156 pacientes (52.84%) presentaban alto riesgo para desarrollar dm2 en el cuestionario, 35 de los cuales fueron diagnosticados con dm2 y 49 con prediabetes. De los pacientes con riesgo bajo en el cuestionario, 26 presentaron prediabetes y 5 dm2. Un puntaje ≥15 por findrisc se asoció con glucosa alterada en ayuno ≥100mg/dl (or: 4.06, p=0.0001), prediabetes (or: 2.82, p=0.0002) y dm2 (or: 7.75, p=0.0001). La sensibilidad y especificidad del cuestionario para el diagnóstico de dm2 fue 87.50% y 52.55% respectivamente, con ic 95% estadísticamente significativos. <strong>Conclusión:</strong> el findrisc es una herramienta que potencialmente se puede ocupar para el tamizaje de dm2 en la población mexicana, es práctica, sencilla, rápida, no invasiva, económica y puede ser utilizada en la práctica diaria del médico familiar.</span></p>

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.

Utilization of Indian diabetes risk score (IDRS) in steroid-induced diabetes

2021 ◽  
Author(s):  
Nandakrishna Bolanthakodi ◽  
Avinash Holla ◽  
Sudha Vidyasagar ◽  
Laxminarayan Bairy ◽  
B. A. Shastry ◽  
...  
Keyword(s):  
Risk Score ◽  
Diabetes Risk ◽  
Diabetes Risk Score

scholarly journals Validity of the Finnish Diabetes Risk Score for Detecting Undiagnosed Type 2 Diabetes among General Medical Outpatients in Botswana

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Bernard Omech ◽  
Julius Chacha Mwita ◽  
Jose-Gaby Tshikuka ◽  
Billy Tsima ◽  
Oathokwa Nkomazna ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Predictive Value ◽  
Total Population ◽  
Diabetes Risk ◽  
Undiagnosed Diabetes ◽  
Haemoglobin A1c ◽  
Diabetes Risk Score ◽  
Medical Outpatients

This was a cross-sectional study designed to assess the validity of the Finnish Diabetes Risk Score for detecting undiagnosed type 2 diabetes among general medical outpatients in Botswana. Participants aged ≥20 years without previously diagnosed diabetes were screened by (1) an 8-item Finnish diabetes risk assessment questionnaire and (2) Haemoglobin A1c test. Data from 291 participants were analyzed (74.2% were females). The mean age of the participants was 50.1 (SD = ±11) years, and the prevalence of undiagnosed diabetes was 42 (14.4%) with no significant differences between the gender (20% versus 12.5%,P=0.26). The area under curve for detecting undiagnosed diabetes was 0.63 (95% CI 0.55–0.72) for the total population, 0.65 (95% CI: 0.56–0.75) for women, and 0.67 (95% CI: 0.52–0.83) for men. The optimal cut-off point for detecting undiagnosed diabetes was 17 (sensitivity = 48% and specificity = 73%) for the total population, 17 (sensitivity = 56% and specificity = 66%) for females, and 13 (sensitivity = 53% and specificity = 77%) for males. The positive predictive value and negative predictive value were 20% and 89.5%, respectively. The findings indicate that the Finnish questionnaire was only modestly effective in predicting undiagnosed diabetes among outpatients in Botswana.

scholarly journals Performance of the Achutha Menon Centre Diabetes Risk Score in Identifying Prevalent Diabetes in Tamil Nadu, India

2017 ◽  
Vol 41 (5) ◽  
pp. 386 ◽  
Author(s):  
Anu Mary Oommen ◽  
Vinod Joseph Abraham ◽  
Thirunavukkarasu Sathish ◽  
V. Jacob Jose ◽  
Kuryan George
Keyword(s):  
Risk Score ◽  
Tamil Nadu ◽  
Diabetes Risk ◽  
Diabetes Risk Score

scholarly journals Performance of the Finnish Diabetes Risk Score (FINDRISC) in the Identification of Dysglycemia in an Urban Population in Ouagadougou (Burkina Faso)

2021 ◽  
Vol 11 (02) ◽  
pp. 39-54
Author(s):  
Solo Traoré ◽  
Boyo Constant Paré ◽  
Désiré Lucien Dabourou ◽  
Oumar Guira ◽  
Yempabou Sagna ◽  
...  
Keyword(s):  
Burkina Faso ◽  
Risk Score ◽  
Urban Population ◽  
Diabetes Risk ◽  
Diabetes Risk Score

scholarly journals A study on validity of Indian Diabetes Risk Score for screening of diabetes mellitus among rural adult population at Rural Health Training Centre, Bhouri, under Department of Community Medicine

2018 ◽  
Vol 5 (12) ◽  
pp. 5295
Author(s):  
Garima Namdev ◽  
Vinod Narkhede
Keyword(s):  
Diabetes Mellitus ◽  
Rural Health ◽  
Risk Score ◽  
Screening Tool ◽  
Public Health Problem ◽  
Diabetes Risk ◽  
Major Public Health Problem ◽  
Training Centre ◽  
Health Training ◽  
Diabetes Risk Score

Background: Diabetes mellitus is a major public health problem in India and many of them remain undetected throughout years. This scenario becomes worse in rural setup where limited heath care facilities are available. So, to detect risk of diabetes earlier, Indian diabetes risk score (IDRS) is to be used. There is also various socio demographic and anthropometric factors associated with the risk of occurring diabetes. The aims and objectives of the study were to study the validity of IDRS method as a screening tool in community as well as to determine the association of IDRS with socio demographic factors and body mass index (BMI).Methods: A cross sectional study was conducted on 270 study participants at rural health training centre (RHTC) for a period of around 7 months. All of them were being measured weight, height, waist circumference and calculated BMI. Along with it, they were categorized by applying IDRS method and measured blood sugar by glucometer also.Results: Out of 270 study subjects, 29% found to have high score. By applying IDRS, at score > 60, we found 32% sensitivity and 97% specificity. A statistically significant association of IDRS with age, gender, religion, socioeconomic status (SES), education, occupation and BMI was seen.Conclusions: In present study, IDRS method proved to be a good screening tool for detecting diabetes mellitus at rural set up with minimum cost.

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