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Journal articles on the topic 'Universal glucose predictor'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

Bekler, Ozkan, and Alparslan Kurtul. "Non-Dipping Pattern Is Associated with Periprocedural Myocardial Infarction in Hypertensive Patients Undergoing Elective Percutaneous Coronary Intervention." Medicina 61, no. 5 (2025): 794. https://doi.org/10.3390/medicina61050794.

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Background and Objectives: Non-dipping blood pressure (BP) patterns are associated with increased cardiovascular risk, but their role in periprocedural myocardial infarction (PMI) during elective percutaneous coronary intervention (PCI) remains insufficiently clarified. The objective was to investigate whether a non-dipping BP profile independently predicts PMI in hypertensive patients undergoing elective PCI. Materials and Methods: This prospective observational study enrolled 462 hypertensive patients undergoing elective PCI, categorized as dipping or non-dipping based on 24 h ambulatory BP

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2

Jenum, Anne K., Kjersti Mørkrid, Line Sletner, et al. "Impact of ethnicity on gestational diabetes identified with the WHO and the modified International Association of Diabetes and Pregnancy Study Groups criteria: a population-based cohort study." European Journal of Endocrinology 166, no. 2 (2012): 317–24. http://dx.doi.org/10.1530/eje-11-0866.

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ObjectiveThe International Association of Diabetes and Pregnancy Study Groups (IADPSG) recently proposed new criteria for diagnosing gestational diabetes mellitus (GDM). We compared prevalence rates, risk factors, and the effect of ethnicity using the World Health Organization (WHO) and modified IADPSG criteria.MethodsThis was a population-based cohort study of 823 (74% of eligible) healthy pregnant women, of whom 59% were from ethnic minorities. Universal screening was performed at 28±2 weeks of gestation with the 75 g oral glucose tolerance test (OGTT). Venous plasma glucose (PG) was measure

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3

Tanzin, Sayeda Tania, Md Ashiqur Rahman, Khadija Begum, Farhana Haque Choudhury, Rumysa Taher Bushra, and Hasina Akter. "Association of Elevated Serum Homocysteine Level in Women with Gestational Diabetes Mellitus." Scholars International Journal of Obstetrics and Gynecology 6, no. 05 (2023): 193–200. http://dx.doi.org/10.36348/sijog.2023.v06i05.006.

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Background: In gestational diabetes mellitus (GDM), risk prediction is mostly based on maternal history and clinical risk factors and may not optimally identify high risk pregnancies. Therefore, universal screening is widely recommended. Homocysteine levels during pregnancy in women with GDM have been studied; however, it remains unclear whether hyperhomocysteinemia is a useful predictor of GDM. Objective: To determine the association of serum homocysteine level in women with gestational diabetes mellitus. Methods: Case control study was conducted in the Department of Obstetrics and Gynaecolog

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Varsha, S., Kumar Aman, H.Ramya Shree C, and Payaswini. "Analysis of Datamining Algorithms for Diabetes Prediction Levels." Advanced Innovations in Computer Programming Languages 7, no. 1 (2025): 40–45. https://doi.org/10.5281/zenodo.14800441.

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<em>Diabetes an illness that can cause a worldwide wellbeing issue concurring to the universal diabetes league. By 2035 382 million individuals around the world will have diabetes and this number will twofold to 592 million. The body changes over nourishment into sugar or glucose and at this time our pancreas has to discharge affront which is critical for the release of glucose into cells sort 1 and 2. Diabetes are the foremost common maladies gestational diabetes and other maladies that happen amid pregnancy. Machine learning may be a modern wonder within the writing where machine learning le

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Twardawa, Mateusz, Piotr Formanowicz, and Dorota Formanowicz. "The Interplay Between Carotid Intima-Media Thickness and Selected Serum Biomarkers in Various Stages of Chronic Kidney Disease." Biomedicines 13, no. 2 (2025): 335. https://doi.org/10.3390/biomedicines13020335.

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Background/Objectives: Chronic kidney disease (CKD), the most common cause of which is hypertension and diabetes, is a recognized risk factor for cardiovascular disease (CVD). This study investigated the association between selected serum biomarkers in the context of intima-media thickness (IMT) changes, a common predictor of subsequent cardiovascular (CV) events. Methods: A total of 251 individuals were enrolled in the study, divided into groups based on the severity of CKD, the presence of CVD, and healthy controls. For this purpose, the data from the following groups of participants were an

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Rakesh Motka. "Optimizing Blood Glucose Prediction Accuracy for Type-1 Diabetes with a Stacked LSTM Universal Model." Journal of Information Systems Engineering and Management 10, no. 2 (2025): 294–302. https://doi.org/10.52783/jisem.v10i2.1824.

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Integrating machine learning in diabetes care has opened the door for the development of a more advanced artificial pancreas. Multiple machine learning models have been applied to diverse datasets, including real and In Silico data, to minimize prediction errors. The goal is to develop a robust system to predict glucose levels with 60 min. of prediction horizon (PH) well in advance to prevent critical medical emergencies. Extensive research has been carried out to improve the predicting accuracy of specific models. However, the interpersonal effectiveness of the model is significant for clinic

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7

Arnoriaga-Rodriguez, Maria, Verónica Melero, Ana Barabash, et al. "Modifiable Risk Factors and Trends in Changes in Glucose Regulation during the First Three Years Postdelivery: The St Carlos Gestational Diabetes Mellitus Prevention Cohort." Nutrients 15, no. 23 (2023): 4995. http://dx.doi.org/10.3390/nu15234995.

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Objective: Evaluation of the influence of potential risk factors (RFs) on glycemic changes at 3 years postpartum. Methods: The glycemic status of 1400 women, in absence of a new pregnancy, was evaluated at 3 months (3 m) and 3 years (3 y) postpartum, after participation in the St. Carlos Gestational Study (2228 normoglycemic pregnant women followed from before gestational week 12 to delivery, from 2015–2017). Abnormal glucose regulation (AGR) was defined as fasting serum glucose > 100 mg/dL and/or HbA1c > 5.7% and/or 2 h 75 g OGTT glucose ≥ 140 mg/dL. In total, 12 modifiable and 3 unmodi

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Yanachkova, Vesselina, Radiana Staynova, Teodora Stankova, and Zdravko Kamenov. "Placental Growth Factor and Pregnancy-Associated Plasma Protein-A as Potential Early Predictors of Gestational Diabetes Mellitus." Medicina 59, no. 2 (2023): 398. http://dx.doi.org/10.3390/medicina59020398.

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Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications and one of the main causes of adverse pregnancy outcomes. An early diagnosis of GDM is of fundamental importance in clinical practice. However, the major professional organizations recommend universal screening for GDM, using a 75 g oral glucose tolerance test at 24–28 weeks of gestation. A selective screening at an early stage of pregnancy is recommended only if there are maternal risk factors for diabetes. As a result, the GDM diagnosis is often delayed and established after the appearance of complications.

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Kousta, Eleni, Adamantia Kontogeorgi, Stephen Robinson, and Desmond G. Johnston. "Long-Term Metabolic Consequences in Patients with a History of Gestational Diabetes." Current Pharmaceutical Design 26, no. 43 (2020): 5564–72. http://dx.doi.org/10.2174/1381612826666201106092423.

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Gestational diabetes mellitus is a common metabolic complication of pregnancy. Universal guidelines on gestational diabetes have been impeded by the long-term controversies on its definition and screening strategies. The prevalence of gestational diabetes is rising all over the world, is significantly influenced by ethnicity and its rise is mainly attributed to increasing maternal obesity and age. Gestational diabetes mellitus has important long-term implications, including gestational diabetes recurrence, increased risk for developing type 2 diabetes, metabolic syndrome and cardiovascular dis

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10

Belenkaia, L. V., L. V. Suturina, M. A. Darenskaya, et al. "Age-related determinants of the metabolic syndrome in women of reproductive age of the main ethnic groups of the Baikal Region." Acta Biomedica Scientifica 8, no. 4 (2023): 39–48. http://dx.doi.org/10.29413/abs.2023-8.4.5.

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The aim of the study. To determine the age limit of the initial manifestations of the metabolic syndrome in women of reproductive age of the Caucasian and Asian ethnic groups. Materials and methods. The study included women of reproductive age of the Russian and Buryat ethnic groups (n = 1231). We carried out general clinical examination, studied glycemia levels and lipid metabolism indicators. The analysis of the components of the metabolic syndrome was performed taking into account age characteristics and ethnicity. Threshold values for the age of metabolic disorders manifestation were deter

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Steves, Claire J., Mitul M. Mehta, Stephen H. D. Jackson, and Tim D. Spector. "Kicking Back Cognitive Ageing: Leg Power Predicts Cognitive Ageing after Ten Years in Older Female Twins." Gerontology 62, no. 2 (2015): 138–49. http://dx.doi.org/10.1159/000441029.

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Background: Many observational studies have shown a protective effect of physical activity on cognitive ageing, but interventional studies have been less convincing. This may be due to short time scales of interventions, suboptimal interventional regimes or lack of lasting effect. Confounding through common genetic and developmental causes is also possible. Objectives: We aimed to test whether muscle fitness (measured by leg power) could predict cognitive change in a healthy older population over a 10-year time interval, how this performed alongside other predictors of cognitive ageing, and wh

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12

Hong, Seung Pyo, Min Jeong Kim, Allison Belette, Youjin Oh, Sukjoo Cho, and Young Kwang Chae. "238 Meta-analysis on the incidence of hyperprogressive disease during immune checkpoint inhibitor therapy." Journal for ImmunoTherapy of Cancer 9, Suppl 2 (2021): A254—A256. http://dx.doi.org/10.1136/jitc-2021-sitc2021.238.

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BackgroundHyperprogressive disease (HPD) is a distinct pattern of rapid tumor progression observed in patients with cancer who are undergoing immune checkpoint inhibitor therapy. Despite the growing evidence, a universal definition of HPD remains to be established, and incidence rates vary based on the defining criteria. Therefore, a refinement of currently existing criteria is warranted to better characterize this phenomenon and evaluate its incidence.MethodsTwo independent investigators performed a systematic literature search in EMBASE and MEDLINE using keywords selected in Park et al.1: ch

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13

Sultanalieva, Roza, Bermet Zhunusova, Valeriya Knyazeva, Nazgul Abylova, and Aleksandr Sorokin. "Prevalence and Risk Factors of Carbohydrate Metabolism Disorders among Pregnant Women in Kyrgyzstan." Iranian Journal of Public Health, July 19, 2025. https://doi.org/10.18502/ijph.v54i7.19150.

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Background: We aimed to determine the prevalence of carbohydrate metabolism disorders among pregnant women in Kyrgyzstan based on the 2013 WHO diagnostic criteria, to study their frequency, and to assess the influence of key risk factors on the likelihood of developing gestational diabetes mellitus (GDM) and overt diabetes. Methods: A prospective cohort study was conducted, including 617 pregnant women between 2022 and 2024. All participants underwent an oral glucose tolerance test (OGTT) in the second half of pregnancy. Diagnosis of GDM and overt diabetes was carried out according to WHO crit

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14

HULETT, NICHOLAS A., LESLIE KNAUB, GREGORY POTT, et al. "305-OR: Short-Term Hyperglycemia Impacts Mouse Skeletal Muscle in a Sex-Specific Manner." Diabetes 72, Supplement_1 (2023). http://dx.doi.org/10.2337/db23-305-or.

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Cardiorespiratory Fitness (CRF) a universal predictor of cardiovascular and all-cause mortality, is lower in people with diabetes. Skeletal muscle is a key determinant of CRF, in particular mitochondrial content, function and oxygen extraction. Hyperglycemia is implicated in the dysfunction of microvascular blood flow. Our previous work demonstrated lower mitochondrial density/fiber and capillary mean flow velocity (MFV) with 4 weeks of hyperglycemia in males and females. Treadmill running resulted in greater capillary MFV and mitochondrial density in only hyperglycemic females. We hypothesize

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15

Nwali, Silas Alegu, Robinson Chukwudi Onoh, Ikechukwu Bo Dimejesi, Vitus Okwuchukwu Obi, Sunday Emmanuel Jombo, and Oghenevwogaga Obukohwo Edenya. "Universal versus selective screening for gestational diabetes mellitus among antenatal clinic attendees in Abakaliki: using the one-step 75 gram oral glucose tolerance test." BMC Pregnancy and Childbirth 21, no. 1 (2021). http://dx.doi.org/10.1186/s12884-021-04168-8.

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Abstract Aim To compare universal screening with selective risk factor based screening for GDM, using the one-step 75 g oral glucose tolerance test (OGTT). Materials and method A cross-sectional, comparison between universal and selective risk factor based screening for GDM, among 400 antenatal care clients at Alex-Ekwueme Federal University Teaching Hospital Abakaliki (AE-FUTHA). All the participants had 75 g OGTT at 24–28 weeks of gestation and risk factor screening for GDM. All 400 participants formed the universal group while participants with one or more of the considered risk factors for

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16

Dongling, Niu, Kang Ziwei, Sun Juanling, et al. "Universal nomogram for predicting referable diabetic retinopathy: a validated model for community and ophthalmic outpatient populations using easily accessible indicators." Frontiers in Endocrinology 16 (June 12, 2025). https://doi.org/10.3389/fendo.2025.1557166.

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PurposeThis study aimed to develop and validate a universal nomogram for predicting referable diabetic retinopathy (RDR) in type 2 diabetes mellitus (T2DM) patients, using easily accessible clinical indicators for both community and ophthalmic outpatient populations.MethodsA cross-sectional study was conducted with 1,830 T2DM patients from 14 communities in Xi’an, Shaanxi, China. Participants completed questionnaires, underwent physical exams, and ophthalmic assessments. Univariate analysis and least absolute shrinkage and selection operator (LASSO) regression identified key predictors for RDR

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17

Hirigo, Agete Tadewos, Daniel Yilma, Ayalew Astatkie, and Zelalem Debebe. "Hyperglycaemia and Its Risk Factors Among Adults Living With HIV on Follow‐Up at the Hawassa City Administration, Southern Ethiopia: A Cross‐Sectional Study." Endocrinology, Diabetes & Metabolism 8, no. 3 (2025). https://doi.org/10.1002/edm2.70054.

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ABSTRACTBackgroundEthiopia implemented the universal test and treat in 2017 and later adopted dolutegravir‐based regimens for people living with HIV (PLWH). However, the impact of these changes on glucose metabolism in Ethiopia remains unclear, highlighting the need for further investigation.MethodsA cross‐sectional study was conducted in southern Ethiopia from 5 January 2023 to 30 May 2024. We included 443 adult PLWH using systematic random sampling. American Diabetes Association criteria was used to define hyperglycaemia. To identify factors associated with hyperglycaemia, binary logistic re

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18

Ghosal, Samit, Shamita Ghosal, and Anuradha Ghosal. "The renal composite benefit of sodium glucose co-transporter 2 inhibitors should ideally be assessed based on a standardised definition: A meta-analysis of randomised controlled trials." September 12, 2023. https://doi.org/10.5281/zenodo.8336805.

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<strong>Introduction:</strong> Type 2 diabetes (T2D) is a leading cause of chronic kidney disease (CKD). Nearly 30%-40% of T2D patients develop CKD. Traditionally, good metabolic control and the use of the renin-angiotensin-aldosterone system (RAAS) have been the cornerstones of preventing and slowing the progression of CKD. Among the emerging molecules, sodium glucose cotransporter 2 inhibitors (SGLT-2is) are promising and are currently recommended as the first-line agent in the management of T2D with CKD in guidelines. However, the analytical stra

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19

Lin, Wei, Songchang Shi, Huibin Huang, Nengying Wang, Junping Wen, and Gang Chen. "Development of a Risk Model for Predicting Microalbuminuria in the Chinese Population Using Machine Learning Algorithms." Frontiers in Medicine 9 (February 7, 2022). http://dx.doi.org/10.3389/fmed.2022.775275.

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ObjectiveMicroalbuminuria (MAU) occurs due to universal endothelial damage, which is strongly associated with kidney disease, stroke, myocardial infarction, and coronary artery disease. Screening patients at high risk for MAU may aid in the early identification of individuals with an increased risk of cardiovascular events and mortality. Hence, the present study aimed to establish a risk model for MAU by applying machine learning algorithms.MethodsThis cross-sectional study included 3,294 participants ranging in age from 16 to 93 years. R software was used to analyze missing values and to perf

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20

Basil, Bruno, Izuchukwu Nnachi Mba, Blessing Kenechi Myke-Mbata, Simeon Adelani Adebisi, and Efosa Kenneth Oghagbon. "A first trimester prediction model and nomogram for gestational diabetes mellitus based on maternal clinical risk factors in a resource-poor setting." BMC Pregnancy and Childbirth 24, no. 1 (2024). http://dx.doi.org/10.1186/s12884-024-06519-7.

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Abstract Background The implementation of universal screening for Gestational Diabetes Mellitus (GDM) is challenged by several factors key amongst which is limited resources, hence the continued reliance on risk factor-based screening. Effective identification of high-risk women early in pregnancy may enable preventive intervention. This study aimed at developing a GDM prediction model based on maternal clinical risk factors that are easily assessable in the first trimester of pregnancy in a population of Nigerian women. Methods This was a multi-hospital prospective observational cohort study

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