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

Abstract Aim: To establish two scoring models for identifying individuals at risk of developing Impaired Glucose Metabolism (IGM) and Type two Diabetes Mellitus (T2DM) in Qatari. Materials and Methods: A sample of 2000 individuals, from Qatar BioBank, was evaluated to determine features predictive of T2DM and IGM. Another sample of 1000 participants was obtained for external validation of the models. Several scoring models screening for T2DM were evaluated and compared to the model proposed by this study. Results: Age, gender, waist to hip ratio, history of hypertension and hyperlipidemia, and levels of educational were statistically associated with the risk of T2DM and constituted the Qatari diabetes risk score (QDRISK). Along with, the 6 aforementioned variables, the IGM model showed that BMI was statistically significant. The QDRISK performed well with an area under the curve (AUC) 0.870 and 0.815 in the development and external validation cohort, respectively. The QDRISK showed overall better accuracy and calibration compared to other evaluated scores. The IGM model showed good accuracy and calibration, AUCs 0.796 vs. 0.774 in the development and external validation cohorts, respectively. Conclusions: This study developed a Qatari-specific risk scores to identify high risk individuals and can guide the development of a nationwide primary prevention program. Key words: Diabetes, risk score, epidemiology, prevention, public health

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Derivation and external validation of a clinical version of the German Diabetes Risk Score (GDRS) including measures of HbA1c

BMJ Open Diabetes Research & Care ◽

10.1136/bmjdrc-2018-000524 ◽

2018 ◽

Vol 6 (1) ◽

pp. e000524 ◽

Cited By ~ 3

Author(s):

Kristin Mühlenbruch ◽

Rebecca Paprott ◽

Hans-Georg Joost ◽

Heiner Boeing ◽

Christin Heidemann ◽

...

Keyword(s):

Risk Score ◽

External Validation ◽

Diabetes Risk ◽

Extended Model ◽

Baseline Assessment ◽

Validation Data ◽

Age Range ◽

Incident Cases ◽

German Diabetes ◽

Diabetes Risk Score

ObjectiveThe German Diabetes Risk Score (GDRS) is a diabetes prediction model which only includes non-invasively measured risk factors. The aim of this study was to extend the original GDRS by hemoglobin A1c (HbA1c) and validate this clinical GDRS in the nationwide German National Health Interview and Examination Survey 1998 (GNHIES98) cohort.Research design and methodsExtension of the GDRS was based on the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study with baseline assessment conducted between 1994 and 1998 (N=27 548, main age range 35–65 years). Cox regression was applied with the original GDRS and HbA1c as independent variables. The extended model was evaluated by discrimination (C-index (95% CI)), calibration (calibration plots and expected to observed (E:O) ratios (95% CI)), and reclassification (net reclassification improvement, NRI (95% CI)). For validation, data from the GNHIES98 cohort with baseline assessment conducted between 1997 and 1999 were used (N=3717, age range 18–79 years). Missing data were handled with multiple imputation.ResultsAfter 5 years of follow-up 593 incident cases of type 2 diabetes occurred in EPIC-Potsdam and 86 in the GNHIES98 cohort. In EPIC-Potsdam, the C-index for the clinical GDRS was 0.87 (0.81 to 0.92) and the overall NRI was 0.26 (0.21 to 0.30), with a stronger improvement among cases compared with non-cases (NRIcases: 0.24 (0.19 to 0.28); NRInon-cases: 0.02 (0.01 to 0.02)). Almost perfect calibration was observed with a slight tendency toward overestimation, which was also reflected by an E:O ratio of 1.07 (0.99 to 1.16). In the GNHIES98 cohort, discrimination was excellent with a C-index of 0.91 (0.88 to 0.94). After recalibration, the calibration plot showed underestimation of diabetes risk in the highest risk group, while the E:O ratio indicated overall perfect calibration (1.02 (0.83 to 1.26)).ConclusionsThe clinical GDRS provides the opportunity to apply the original GDRS as a first step in risk assessment, which can then be extended in clinical practice with HbA1c whenever it was measured.

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1515-P: Thai Diabetes Risk Score Performed Less Well in Predicting Incident Diabetes in a General Population: External Validation in the HCUR Cohort

Diabetes ◽

10.2337/db19-1515-p ◽

2019 ◽

Vol 68 (Supplement 1) ◽

pp. 1515-P

Author(s):

PARINYA CHAMNAN ◽

PISSAMAI WARASOOK ◽

ORATHAI SRISAWANG ◽

NUMFON PHROMMACHART ◽

BENJAWEN WETTANA ◽

...

Keyword(s):

General Population ◽

Risk Score ◽

External Validation ◽

Diabetes Risk ◽

Incident Diabetes ◽

Diabetes Risk Score

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Developing a Conceptually Equivalent Type 2 Diabetes Risk Score for Indian Gujaratis in the UK

Journal of Diabetes Research ◽

10.1155/2016/8107108 ◽

2016 ◽

Vol 2016 ◽

pp. 1-9

Author(s):

Naina Patel ◽

Andrew Willis ◽

Margaret Stone ◽

Shaun Barber ◽

Laura Gray ◽

...

Keyword(s):

Type 2 Diabetes ◽

Risk Score ◽

Diabetes Risk ◽

Risk Scores ◽

Self Assessment ◽

Language Version ◽

Translation Methods ◽

The Uk ◽

Diabetes Risk Score

Aims.To apply and assess the suitability of a model consisting of commonly used cross-cultural translation methods to achieve a conceptually equivalent Gujarati language version of the Leicester self-assessment type 2 diabetes risk score.Methods.Implementation of the model involved multiple stages, including pretesting of the translated risk score by conducting semistructured interviews with a purposive sample of volunteers. Interviews were conducted on an iterative basis to enable findings to inform translation revisions and to elicit volunteers’ ability to self-complete and understand the risk score.Results.The pretest stage was an essential component involving recruitment of a diverse sample of 18 Gujarati volunteers, many of whom gave detailed suggestions for improving the instructions for the calculation of the risk score and BMI table. Volunteers found the standard and level of Gujarati accessible and helpful in understanding the concept of risk, although many of the volunteers struggled to calculate their BMI.Conclusions.This is the first time that a multicomponent translation model has been applied to the translation of a type 2 diabetes risk score into another language. This project provides an invaluable opportunity to share learning about the transferability of this model for translation of self-completed risk scores in other health conditions.

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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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