Opportunistic screening for diabetes using Indian diabetes risk score among patients aged 30 years and above attending rural health training center in Delhi

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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Use of the Diabetes Risk Score for Opportunistic Screening of Undiagnosed Diabetes and Impaired Glucose Tolerance: The IGLOO (Impaired Glucose Tolerance and Long-Term Outcomes Observational) study

Diabetes Care ◽

10.2337/diacare.28.5.1187 ◽

2005 ◽

Vol 28 (5) ◽

pp. 1187-1194 ◽

Cited By ~ 92

Author(s):

M. Franciosi ◽

G. De Berardis ◽

M. C.E. Rossi ◽

M. Sacco ◽

M. Belfiglio ◽

...

Keyword(s):

Observational Study ◽

Glucose Tolerance ◽

Impaired Glucose Tolerance ◽

Risk Score ◽

Diabetes Risk ◽

Undiagnosed Diabetes ◽

Opportunistic Screening ◽

Long Term Outcomes ◽

Diabetes Risk Score

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

Endocrine Practice ◽

10.1016/s1530-891x(20)43810-8 ◽

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

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

Atención Familiar ◽

10.22201/facmed.14058871p.2018.1.62925 ◽

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

Objetivo: evaluar el desempeño del Finnish Diabetes Risk Score (findrisc) como prueba de tamizaje para diabetes mellitus tipo 2 (dm2). Métodos: 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 χ2 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. Resultados: 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. Conclusión: 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.

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

Scientific Reports ◽

10.1038/s41598-021-81385-3 ◽

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

International Journal of Diabetes in Developing Countries ◽

10.1007/s13410-021-00976-y ◽

2021 ◽

Author(s):

Nandakrishna Bolanthakodi ◽

Avinash Holla ◽

Sudha Vidyasagar ◽

Laxminarayan Bairy ◽

B. A. Shastry ◽

...

Keyword(s):

Risk Score ◽

Diabetes Risk ◽

Diabetes Risk Score

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

Journal of Diabetes Research ◽

10.1155/2016/4968350 ◽

2016 ◽

Vol 2016 ◽

pp. 1-7 ◽

Cited By ~ 11

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.

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