&lt;p&gt;Self-Monitoring of Blood Glucose and Hypoglycemia Association During Fasting in Ramadan Among Patients with Diabetes&lt;/p&gt;

Mansouri, Deyaa Abdulla; Khayat, E; Khayat, Mohannad; Aboawja, Muteb; Aseeri, Areej; Banah, Faisal; Alsiary, Khulood; Rammal, Lama; Almalki, Adel D; Hasaballah, Mohammed

doi:10.2147/dmso.s234675

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…Mansouri et al [11] assessed the current practices of patients with diabetes to control blood glucose levels during Ramadan in a cross-sectional study. Data were collected through a structured and interview-based questionnaire to assess the association between self-monitoring of blood glucose (SMBG) and hypoglycemia.…”

Section: Epidemiology Of Diabetes and Ramadanmentioning

confidence: 99%

Ramadan fasting and diabetes (2020): The year in review

Hafidh

Ali

Abbas

et al. 2021

Journal of Diabetes and Endocrine Practice

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Review Article introduCtionRamadan fasting (RF) observed by adult Muslims entails abstinence from food, water, all oral substances, intravenous fluid therapy, and smoking between dawn and sunset during the 9 th month of the Muslims' lunar calendar. [1] Ramadan's impact on health and disease stems from the biological effects of prolonged fasting during the daytime and possible overfeeding at night and its various social changes. The last three decades witnessed a rising interest in the research on RF in health and disease. [2] Diabetes has been the most extensively studied single medical condition in connection with RF. [3] Despite the increase in volume of the literature, concern has been voiced regarding the quality of publications on the subject. [4,5] The literature on health aspects of Ramadan fasting (RF) is widely spread in many journals, making it not readily accessible to those interested in the subject. We therefore aimed to provide a thematic overview of the global research work conducted in the realm of RF during 2020 on the impact of RF in people with diabetes. We aimed to provide a concise bird's eye view of the literature published in a year and to identify the basis of evidence that may guide clinical practices for the years to come. matErials and mEthodsThis is a narrative, nonsystematic review of the literature retrieved from one online database over a full calendar year (2020). The PubMed search engine of the National Center for Biotechnology Information at the U.S. National Library of Medicine was used. The search term ("Ramadan Fasting" OR "Fast of Ramadan") AND diabetes, with time filters from January 1, 2020, to December 31, 2020, was used to identify the relevant records. Retrieved articles were examined forThe literature on health aspects of Ramadan fasting (RF) is widely spread in many journals, making it not readily accessible to those interested in the subject. We aimed to provide a narrative overview of the global literature production in 1 year (2020) on diabetes and RF. This was a narrative, nonsystematic review of the international literature from a single major medical online database (i.e., PubMed) during the year 2020. The search term "Ramadan fasting AND Diabetes" was used, and the relevant literature was narrated in a concise thematic account. The publications spanned a vast array of topics related to RF, including assessments of safety and efficacy profiles of older and newer diabetes therapies, modes of insulin delivery, evaluating the role of utilizing advanced technology for the treatment, and monitoring of blood glucose during RF. Increased interest was evident in capturing patients' perspectives and healthcare professionals' perceptions, attitudes, and practices during Ramadan. Fasting by high-risk groups was studied. Not surprisingly, some reports covered COVID-19 and Ramadan and the role of telemedicine in ramadan. The current literature review presents this year's research data on the safety of fasting practices, care models, and patients' experiences and perspectives....

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Section: Epidemiology Of Diabetes and Ramadanmentioning

confidence: 99%

Ramadan fasting and diabetes (2020): The year in review

Hafidh

Ali

Abbas

et al. 2021

Journal of Diabetes and Endocrine Practice

View full text Add to dashboard Cite

show abstract

“…Fifth, if they had asymptomatic hypoglycemia, and finally, if they felt and treated hypoglycemia without checking. Mansouri et al 15 carried out a study on self-monitoring of blood sugar during Ramadan. They concluded that sugar levels fluctuated with age, and with better understanding and change in lifestyle, fasting can be made safe.…”

Section: Discussionmentioning

confidence: 99%

Sodium-Glucose Cotransporter 2 (SGLT-2) Inhibitor drugs: Assessment of safety in Fasting Diabetics

Khan¹,

Shakeel²,

Azhar³

et al. 2021

JRMC

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Introduction: Ramadan is a holy month and the majority of Muslims fast in it, without considering background illnesses. SGLT-2 drugs were available for Pakistani patients recently, and this was the first year to fast in their presence.Objectives: To assess the risk of hypoglycemia in fasting diabetics using SGLT-2 drugs, comparing it with Sulphonylurea (SU) drugs. Also, a change in HbA1c and eGFR was checked. Hence, evidence was collected to recommend their use in fasting Diabetics with safety. Material and Methods: A total of 5500 patients from three different sites were included. Only 500 fulfilled the criteria of inclusion. Pregnant, lactating, advanced Chronic Kidney Disease (CKD), and those recording hypoglycemia frequently were not included. Ages between 20 to 70 years, HbA1c between 7 to 11, and patients taking SU or SGLT-2 were included. Conclusion: The eGFR was comparable in both groups post-Ramadan. HbA1c was significantly reduced in the SGLT-2 group. Bitter taste and thirst were common with the SU group. Hypoglycemia was comparable in both groups. We concluded that SGLT-2 drugs were safe during Ramadan, and caused more HbA1c reduction.

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“…The risk prediction of hypoglycemia based on a physiological model is achieved by establishing equations based on pathological/physiological fundamental laws. Physiological models are mostly established based on patients' blood sugar data [14][15] , but only focusing on blood sugar changes makes it di cult to comprehensively assess the risk of hypoglycemia. In addition, a continuous glucose monitoring system is not affordable for everyone, so the promotion and applicability of this method are greatly limited.…”

Section: Introductionmentioning

confidence: 99%

Predicting Hypoglycemia in Elderly Inpatients with Type 2 Diabetes: The ADOCHBIU Model

Zhang,

Liu,

Sun

et al. 2024

Preprint

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Background Hypoglycemic episodes cause varying degrees of damage in the functional system of elderly inpatients with type 2 diabetes mellitus (T2DM). The purpose of the study is to construct a nomogram prediction model for the risk of hypoglycemia in elderly inpatients with T2DM and to evaluate the predictive performance of the model.Methods From August 2022 to April 2023, 546 elderly inpatients with T2DM were recruited in seven tertiary-level general hospitals in Beijing and Inner Mongolia province, China. Medical history and clinical data of the inpatients were collected with a self-designed questionnaire, with follow up on the occurrence of hypoglycemia within one week. Factors related to the occurrence of hypoglycemia were screened using regularized logistic analysis(r-LR), and a nomogram prediction visual model of hypoglycemia was constructed. AUROC, Hosmer-Lemeshow, and DCA were used to analyze the prediction performance of the model.Results The incidence of hypoglycemia of elderly inpatients with T2DM was 41.21% (225/546). The risk prediction model included 8 predictors as follows(named ADOCHBIU): duration of diabetes (OR = 2.276, 95%CI 2.097ཞ2.469), urinary microalbumin(OR = 0.864, 95%CI 0.798ཞ0.935), oral hypoglycemic agents (OR = 1.345, 95%CI 1.243ཞ1.452), cognitive impairment (OR = 1.226, 95%CI 1.178ཞ1.276), insulin usage (OR = 1.002, 95%CI 0.948ཞ1.060), hypertension (OR = 1.113, 95%CI 1.103ཞ1.124), blood glucose monitoring (OR = 1.909, 95%CI 1.791ཞ2.036), and abdominal circumference (OR = 2.998, 95%CI 2.972ཞ3.024). The AUROC of the prediction model was 0.871, with sensitivity of 0.889 and specificity of 0.737, which indicated that the nomogram model has good discrimination. The Hosmer-Lemeshow was χ2 = 2.147 (P = 0.75), which meant that the prediction model is well calibrated. DCA curve is consistently higher than all the positive line and all the negative line, which indicated that the nomogram prediction model has good clinical utility.Conclusions The nomogram hypoglycemia prediction model constructed in this study had good prediction effect. It is used for early detection of high-risk individuals with hypoglycemia in elderly inpatients with T2DM, so as to take targeted measures to prevent hypoglycemia.Trial registration ChiCTR2200062277. Registered on 31 July 2022.

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<p>Self-Monitoring of Blood Glucose and Hypoglycemia Association During Fasting in Ramadan Among Patients with Diabetes</p>

Cited by 9 publications

References 14 publications

Ramadan fasting and diabetes (2020): The year in review

Ramadan fasting and diabetes (2020): The year in review

Sodium-Glucose Cotransporter 2 (SGLT-2) Inhibitor drugs: Assessment of safety in Fasting Diabetics

Predicting Hypoglycemia in Elderly Inpatients with Type 2 Diabetes: The ADOCHBIU Model

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