Validation of the new IDF-DAR risk assessment tool for Ramadan fasting in patients with diabetes.


Journal

Diabetes & metabolic syndrome
ISSN: 1878-0334
Titre abrégé: Diabetes Metab Syndr
Pays: Netherlands
ID NLM: 101462250

Informations de publication

Date de publication:
Apr 2023
Historique:
received: 28 01 2023
accepted: 20 03 2023
medline: 8 5 2023
pubmed: 30 3 2023
entrez: 29 3 2023
Statut: ppublish

Résumé

A new IDF-DAR (International Diabetes Federation - Diabetes and Ramadan Alliance) risk stratification tool was published in 2021 to better stratify the risk of Ramadan fasting in people with diabetes. We performed a prospective, survey-based study before and after Ramadan 1442/2021 to explore the ability of the new IDF-DAR risk stratification tool to predict the probability of fasting and the risk of complications from fasting in people with diabetes. A pre-Ramadan assessment was completed for 659 patients who intended to fast in Ramadan; 647(98.2%) answered the post-Ramadan follow-up questionnaire. Mean age was 53.5 years and 47.9% were females. 603(91.5%) had type 2 diabetes while 56(8.5%) had type 1 diabetes. Using the IDF-DAR risk criteria at the pre-Ramadan assessment, 339(51.4%) were categorized as low-risk (score <3), 173(26.3%) as moderate-risk (score 3.5-6) and 147(22.3%) as high-risk (score >6). 94.3%, 81.1% and 76.9% patients fasted the full 30 days in the low, moderate and high risk groups respectively (p < 0.0001). Any hypoglycaemia was reported in the low, moderate and high risk groups by 6.3%, 21.9% and 35.0% respectively while severe hypoglycaemia was reported by 3(2.1%) patients in the high, 3(1.8%) in the moderate and none(0%) in the low risk groups. Hyperglycaemia (>250 mg/dL) was reported in the low, moderate and high risk groups by 2.7%, 13.0% and 23.8% respectively. The new IDF-DAR risk assessment tool appears to reliably predict both the ability to fast during Ramadan as well as the likelihood of getting hypoglycaemia or hyperglycaemia.

Sections du résumé

BACKGROUND BACKGROUND
A new IDF-DAR (International Diabetes Federation - Diabetes and Ramadan Alliance) risk stratification tool was published in 2021 to better stratify the risk of Ramadan fasting in people with diabetes.
METHODS METHODS
We performed a prospective, survey-based study before and after Ramadan 1442/2021 to explore the ability of the new IDF-DAR risk stratification tool to predict the probability of fasting and the risk of complications from fasting in people with diabetes.
RESULTS RESULTS
A pre-Ramadan assessment was completed for 659 patients who intended to fast in Ramadan; 647(98.2%) answered the post-Ramadan follow-up questionnaire. Mean age was 53.5 years and 47.9% were females. 603(91.5%) had type 2 diabetes while 56(8.5%) had type 1 diabetes. Using the IDF-DAR risk criteria at the pre-Ramadan assessment, 339(51.4%) were categorized as low-risk (score <3), 173(26.3%) as moderate-risk (score 3.5-6) and 147(22.3%) as high-risk (score >6). 94.3%, 81.1% and 76.9% patients fasted the full 30 days in the low, moderate and high risk groups respectively (p < 0.0001). Any hypoglycaemia was reported in the low, moderate and high risk groups by 6.3%, 21.9% and 35.0% respectively while severe hypoglycaemia was reported by 3(2.1%) patients in the high, 3(1.8%) in the moderate and none(0%) in the low risk groups. Hyperglycaemia (>250 mg/dL) was reported in the low, moderate and high risk groups by 2.7%, 13.0% and 23.8% respectively.
CONCLUSION CONCLUSIONS
The new IDF-DAR risk assessment tool appears to reliably predict both the ability to fast during Ramadan as well as the likelihood of getting hypoglycaemia or hyperglycaemia.

Identifiants

pubmed: 36989583
pii: S1871-4021(23)00050-4
doi: 10.1016/j.dsx.2023.102754
pii:
doi:

Substances chimiques

Hypoglycemic Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102754

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest No potential conflicts of interest relevant to this article were reported.

Auteurs

Nagi Mohammed (N)

Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates. Electronic address: namohammed@icldc.ae.

Adam Buckley (A)

Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates. Electronic address: abuckley@icldc.ae.

Mohsin Siddiqui (M)

Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates. Electronic address: msiddiqui@icldc.ae.

Sameera Al Ahmed (S)

Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates. Electronic address: salahmad@icldc.ae.

Bachar Afandi (B)

Tawam Hospital, SEHA, Al Ain, United Arab Emirates. Electronic address: bafandi@seha.ae.

Mohamed Hassanein (M)

Dubai Hospital, Dubai Health Authority, Dubai, United Arab Emirates. Electronic address: mhassanein148@hotmail.com.

Nader Lessan (N)

Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates. Electronic address: nlessan@icldc.ae.

Mohamed Suliman (M)

Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates. Electronic address: msuliman@icldc.ae.

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