Simple risk score to screen for prediabetes: A cross‐sectional study from the Qatar Biobank cohort
Abstract Aims/Introduction The progression from prediabetes to type 2 diabetes is preventable by lifestyle intervention and/or pharmacotherapy in a large fraction of individuals with prediabetes. Our objective was to develop a risk score to screen for prediabetes in the Middle East, where diabetes p...
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doaj-8b37c52836f743ec9e494e9f83a4b2442021-06-02T01:02:41ZengWileyJournal of Diabetes Investigation2040-11162040-11242021-06-0112698899710.1111/jdi.13445Simple risk score to screen for prediabetes: A cross‐sectional study from the Qatar Biobank cohortMostafa Abbas0Raghvendra Mall1Khaoula Errafii2Abdelkader Lattab3Ehsan Ullah4Halima Bensmail5Abdelilah Arredouani6Qatar Computing Research Institute Hamad Bin Khalifa University Doha QatarQatar Computing Research Institute Hamad Bin Khalifa University Doha QatarQatar Biomedical Research Institute Hamad Bin Khalifa University Doha QatarQatar Computing Research Institute Hamad Bin Khalifa University Doha QatarQatar Computing Research Institute Hamad Bin Khalifa University Doha QatarQatar Computing Research Institute Hamad Bin Khalifa University Doha QatarQatar Biomedical Research Institute Hamad Bin Khalifa University Doha QatarAbstract Aims/Introduction The progression from prediabetes to type 2 diabetes is preventable by lifestyle intervention and/or pharmacotherapy in a large fraction of individuals with prediabetes. Our objective was to develop a risk score to screen for prediabetes in the Middle East, where diabetes prevalence is one of the highest in the world. Materials and Methods In this cross‐sectional, case–control study, we used data of 4,895 controls and 2,373 prediabetic adults obtained from the Qatar Biobank cohort. Significant risk factors were identified by logistic regression and other machine learning methods. The receiver operating characteristic was used to calculate the area under curve, cut‐off point, sensitivity, specificity, positive and negative predictive values. The prediabetes risk score was developed from data of Qatari citizens, as well as long‐term (≥15 years) residents. Results The significant risk factors for the Prediabetes Risk Score in Qatar were age, sex, body mass index, waist circumference and blood pressure. The risk score ranges from 0 to 45. The area under the curve of the score was 80% (95% confidence interval 78–83%), and the cut‐off point of 16 yielded sensitivity and specificity of 86.2% (95% confidence interval 82.7–89.2%) and 57.9% (95% confidence interval 65.5–71.4%), respectively. Prediabetes Risk Score in Qatar performed equally in Qatari nationals and long‐term residents. Conclusions Prediabetes Risk Score in Qatar is the first prediabetes screening score developed in a Middle Eastern population. It only uses risk factors measured non‐invasively, is simple, cost‐effective, and can be easily understood by the general public and health providers. Prediabetes Risk Score in Qatar is an important tool for early detection of prediabetes, and can help tremendously in curbing the diabetes epidemic in the region.https://doi.org/10.1111/jdi.13445PrediabetesQatar BiobankRisk score |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mostafa Abbas Raghvendra Mall Khaoula Errafii Abdelkader Lattab Ehsan Ullah Halima Bensmail Abdelilah Arredouani |
spellingShingle |
Mostafa Abbas Raghvendra Mall Khaoula Errafii Abdelkader Lattab Ehsan Ullah Halima Bensmail Abdelilah Arredouani Simple risk score to screen for prediabetes: A cross‐sectional study from the Qatar Biobank cohort Journal of Diabetes Investigation Prediabetes Qatar Biobank Risk score |
author_facet |
Mostafa Abbas Raghvendra Mall Khaoula Errafii Abdelkader Lattab Ehsan Ullah Halima Bensmail Abdelilah Arredouani |
author_sort |
Mostafa Abbas |
title |
Simple risk score to screen for prediabetes: A cross‐sectional study from the Qatar Biobank cohort |
title_short |
Simple risk score to screen for prediabetes: A cross‐sectional study from the Qatar Biobank cohort |
title_full |
Simple risk score to screen for prediabetes: A cross‐sectional study from the Qatar Biobank cohort |
title_fullStr |
Simple risk score to screen for prediabetes: A cross‐sectional study from the Qatar Biobank cohort |
title_full_unstemmed |
Simple risk score to screen for prediabetes: A cross‐sectional study from the Qatar Biobank cohort |
title_sort |
simple risk score to screen for prediabetes: a cross‐sectional study from the qatar biobank cohort |
publisher |
Wiley |
series |
Journal of Diabetes Investigation |
issn |
2040-1116 2040-1124 |
publishDate |
2021-06-01 |
description |
Abstract Aims/Introduction The progression from prediabetes to type 2 diabetes is preventable by lifestyle intervention and/or pharmacotherapy in a large fraction of individuals with prediabetes. Our objective was to develop a risk score to screen for prediabetes in the Middle East, where diabetes prevalence is one of the highest in the world. Materials and Methods In this cross‐sectional, case–control study, we used data of 4,895 controls and 2,373 prediabetic adults obtained from the Qatar Biobank cohort. Significant risk factors were identified by logistic regression and other machine learning methods. The receiver operating characteristic was used to calculate the area under curve, cut‐off point, sensitivity, specificity, positive and negative predictive values. The prediabetes risk score was developed from data of Qatari citizens, as well as long‐term (≥15 years) residents. Results The significant risk factors for the Prediabetes Risk Score in Qatar were age, sex, body mass index, waist circumference and blood pressure. The risk score ranges from 0 to 45. The area under the curve of the score was 80% (95% confidence interval 78–83%), and the cut‐off point of 16 yielded sensitivity and specificity of 86.2% (95% confidence interval 82.7–89.2%) and 57.9% (95% confidence interval 65.5–71.4%), respectively. Prediabetes Risk Score in Qatar performed equally in Qatari nationals and long‐term residents. Conclusions Prediabetes Risk Score in Qatar is the first prediabetes screening score developed in a Middle Eastern population. It only uses risk factors measured non‐invasively, is simple, cost‐effective, and can be easily understood by the general public and health providers. Prediabetes Risk Score in Qatar is an important tool for early detection of prediabetes, and can help tremendously in curbing the diabetes epidemic in the region. |
topic |
Prediabetes Qatar Biobank Risk score |
url |
https://doi.org/10.1111/jdi.13445 |
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