scholarly journals Community based screening for diabetes risk score during festivals in the Kingdom of Saudi Arabia, 2016-2017

2019 ◽  
Author(s):  
Fatima Alslail
Keyword(s):  
Saudi Arabia ◽  
Risk Score ◽  
Diabetes Risk ◽  
Kingdom Of Saudi Arabia ◽  
Community Based ◽  
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.

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

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
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