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1دورية أكاديمية
المؤلفون: Sarawut Krongsut, Chatchon Kaewkrasaesin
مصطلحات موضوعية: Medicine, Cell Biology, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Infectious Diseases, Computational Biology, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, various glucose metrics, stress hyperglycemia ratio, poor functional outcome, newly developed metric, including different types, greatest predictive power, different glucose metrics, continuous glucose metrics, acute ischemic stroke, 48 – 14, 2015 &# 8211, 59 &# 215, hba1c )&# 8722, assess adverse outcomes, 59 ], shr4, 009 ), 003 ), sich
الوقت: 3
الوصف: Subgroup analyses for the risk of in-hospital mortality by SHR1≥1.18 (for IHM, MCE, 3-month mortality and poor functional outcome) and ≥1.12 (for sICH).
الإتاحة: https://doi.org/10.1371/journal.pone.0297809.s003Test
https://figshare.com/articles/journal_contribution/Subgroup_analyses_for_the_risk_of_in-hospital_mortality_by_SHR1_1_18_for_IHM_MCE_3-month_mortality_and_poor_functional_outcome_and_1_12_for_sICH_/25121015Test -
2دورية أكاديمية
المؤلفون: Ebaa Al-Ozairi, Mohammad Irshad, Etab Taghadom, Anisha Varghese, Litty Sojan, Jumana Alkandari
المصدر: Frontiers in Endocrinology, Vol 14 (2023)
مصطلحات موضوعية: COVID-19 vaccine, type 1 diabetes, blood glucose metrics, time in range (TIR), glucose variability, SARS- CoV-2, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
الوصف: IntroductionPeople with diabetes are at a higher risk for coronavirus disease-19 (COVID-19) and hence are prioritized for vaccination. The aim of the current study was to investigate the effects of COVID-19 vaccination on blood glucose control in Arabic people with type 1 diabetes (T1D). Secondary aim was to compare the responses between the two vaccines approved for use in Kuwait.MethodThis retrospective study compared ambulatory glucose metrics, using a continuous glucose monitoring device, measured for 14 days before, and 7 days and 14 days after, the first and second dose of the COVID-19 vaccine in Arabic people with Type 1 diabetes (T1D). We also explored possible links with vaccine type and other clinical characteristics. Glucose metrics calculated were time in range (TIR, 3.9–10 mmol/L), time above range (TAR, 10.1- 13.9 mmol/L or >13.9 mmol/L), time below range (TBR, 3- 3.9 mmol/L or 10 mmol/L (2.2% ± 15.9%; p = 0.04), with no effects on TBR. These effects were not seen after the second dose or 14 days after either dose. There was a decrease in CV over the 7 days period after the first (−1.2% ± 7.4%; p = 0.02) and second vaccine doses (−1.1% ± 6.9%; p = 0.03), with no effects noted 14 days after either dose. In subgroup analysis similar effects on TIR and TAR were also seen in those who had received the viral vector-based vaccine, but not the mRNA-based vaccine, although the decrease in CV was seen in those who had received the mRNA based vaccine but not the viral vector-based vaccine.ConclusionWe found a temporary impairment in glucose control in the first 7 days, particularly among individuals receiving viral vector vaccines. The group receiving mRNA vaccine was likely to experience an increase in glucose levels above the target range. However, the temporary change in metrics appears to return to pre-vaccination levels after one-week post-vaccination. The effects on glycemic parameters were more neutral after the second dose.
وصف الملف: electronic resource
العلاقة: https://www.frontiersin.org/articles/10.3389/fendo.2023.1120384/fullTest; https://doaj.org/toc/1664-2392Test
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3دورية أكاديمية
المؤلفون: Elena Gamarra, Pierpaolo Trimboli
المصدر: Journal of Personalized Medicine; Volume 13; Issue 2; Pages: 374
مصطلحات موضوعية: menstrual cycle, type 1 diabetes mellitus, continuous glucose monitoring, glucose metrics, insulin sensitivity
الوصف: The correlation between the menstrual cycle and glucose control in type 1 diabetes has been the focus of several studies since the 1920s, but a few critical aspects made it particularly challenging to reach conclusive evidence. The aim of this systematic review is to reveal more solid information about the impact of the menstrual cycle on glycaemic outcomes and insulin sensitivity in type 1 diabetes and highlight the less researched areas. The literature was searched by two authors independently using PubMed/MEDLINE, Embase and Scopus (last search on 2 November 2022). The retrieved data did not allow us to perform a meta-analysis. We included 14 studies published between 1990 and 2022, with sample sizes from 4 to 124 patients. We found a wide heterogeneity in the definition of the menstrual cycle phases, glucose metrics, techniques for determining insulin sensitivity, hormonal assessment and other interfering factors considered, with an overall high risk of bias. There is no conclusive evidence, and published data do not allow us to achieve quantitative results. In a subset of patients, a possible worsening of insulin sensitivity and hyperglycaemia in the luteal phase could be observed. From the clinical standpoint, a cautious strategy based on patient-specific patterns can be considered until new, solid evidence is obtained.
وصف الملف: application/pdf
العلاقة: Sex, Gender and Hormone Based Medicine; https://dx.doi.org/10.3390/jpm13020374Test
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4
المؤلفون: Sarawut Krongsut, Chatchon Kaewkrasaesin
مصطلحات موضوعية: Medicine, Cell Biology, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Infectious Diseases, Computational Biology, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, various glucose metrics, stress hyperglycemia ratio, poor functional outcome, newly developed metric, including different types, greatest predictive power, different glucose metrics, continuous glucose metrics, acute ischemic stroke, 48 – 14, 2015 &# 8211, 59 &# 215, hba1c )&# 8722, assess adverse outcomes, 59 ], shr4, 009 ), 003 ), sich
الوقت: 3
الوصف: Comparison of the baseline characteristics between patients with IHM and survived.
الإتاحة: https://doi.org/10.1371/journal.pone.0297809.t001Test
https://figshare.com/articles/dataset/Comparison_of_the_baseline_characteristics_between_patients_with_IHM_and_survived_/25121024Test -
5صورة
المؤلفون: Sarawut Krongsut, Chatchon Kaewkrasaesin
مصطلحات موضوعية: Medicine, Cell Biology, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Infectious Diseases, Computational Biology, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, various glucose metrics, stress hyperglycemia ratio, poor functional outcome, newly developed metric, including different types, greatest predictive power, different glucose metrics, continuous glucose metrics, acute ischemic stroke, 48 – 14, 2015 &# 8211, 59 &# 215, hba1c )&# 8722, assess adverse outcomes, 59 ], shr4, 009 ), 003 ), sich
الوقت: 3
الوصف: Functional outcome at (A) the time of hospital discharge and (B) the 3-month follow-up in groups stratified according to the cut-off value of SHR1. (TIF)
الإتاحة: https://doi.org/10.1371/journal.pone.0297809.s001Test
https://figshare.com/articles/figure/S1_Fig_-/25121009Test -
6صورة
المؤلفون: Sarawut Krongsut, Chatchon Kaewkrasaesin
مصطلحات موضوعية: Medicine, Cell Biology, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Infectious Diseases, Computational Biology, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, various glucose metrics, stress hyperglycemia ratio, poor functional outcome, newly developed metric, including different types, greatest predictive power, different glucose metrics, continuous glucose metrics, acute ischemic stroke, 48 – 14, 2015 &# 8211, 59 &# 215, hba1c )&# 8722, assess adverse outcomes, 59 ], shr4, 009 ), 003 ), sich
الوقت: 3
الوصف: Background The stress hyperglycemia ratio (SHR), a newly developed metric, is used to assess adverse outcomes in patients with acute ischemic stroke (AIS). However, the relationship between SHR and fatal outcomes (in-hospital mortality [IHM], malignant cerebral edema [MCE], symptomatic intracerebral hemorrhage [sICH], 3-month mortality, and poor functional outcome) in AIS patients receiving recombinant tissue plasminogen activator (rt-PA) treatment is unclear, and determining the optimal threshold remains incomplete. Materials and methods We retrospectively enrolled a total of 345 AIS patients treated with rt-PA during 2015–2022 and collected data on various glucose metrics, including different types of SHR, glycemic gap (GG), random plasma glucose (RPG), fasting plasma glucose (FPG), and hemoglobin A1c (HbA1c). SHR and GG were calculated using these equations: SHR1, [FPG]/[HbA1c]; SHR2, [admission RPG]/[HbA1c]; SHR3, FPG/[(1.59 × HbA1c)−2.59]; SHR4, [admission RPG]/[(1.59 × HbA1c)−2.59]; GG, admission RPG − [(1.59 × HbA1c)−2.59]. We used multivariable logistic regression analysis (MVLR) to identify the association between different glucose metrics and outcomes while comparing their predictive values. Results SHR1 had the greatest predictive power and a more significant correlation with fatal outcomes than other continuous glucose metrics. The area under the curve of the SHR1 for IHM, MCE, and sICH, 3-month mortality, and poor functional outcome were 0.75, 0.77, 0.77, 0.76, and 0.73, respectively. SHR1 (per 1-point increases) was independently associated with IHM (Odds ratios [ORs] = 5.80; 95% CI [1.96, 17.17]; p = 0.001), MCE (ORs = 4.73; 95% CI [1.71, 13.04]; p = 0.003), sICH (ORs = 4.68, 95% CI [1.48–14.82]; p = 0.009), 3-month mortality (ORs = 10.87; 95% CI [3.56, 33.21]; p <0.001), and 3-month poor functional outcome (ORs = 8.05; 95% CI [2.77, 23.39]; p<0.001) after adjustment in MVLR. In subgroup analysis, elevated SHR1 was associated with fatal outcomes in patients with non-diabetes, SBP≥ 180 mmHg, ...
الإتاحة: https://doi.org/10.1371/journal.pone.0297809.g001Test
https://figshare.com/articles/figure/The_patient_flow_chart_/25121018Test -
7صورة
المؤلفون: Sarawut Krongsut, Chatchon Kaewkrasaesin
مصطلحات موضوعية: Medicine, Cell Biology, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Infectious Diseases, Computational Biology, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, various glucose metrics, stress hyperglycemia ratio, poor functional outcome, newly developed metric, including different types, greatest predictive power, different glucose metrics, continuous glucose metrics, acute ischemic stroke, 48 – 14, 2015 &# 8211, 59 &# 215, hba1c )&# 8722, assess adverse outcomes, 59 ], shr4, 009 ), 003 ), sich
الوقت: 3
الوصف: Note: This figure shows a comparison between SHR1≥ 1.18 for IHM, MCE, 3-month mortality, and poor functional outcome; and SHR1≥ 1.12 for sICH. The numbers next to the bar graphs reflect the percentage of each fatal outcome within this group. P -values were calculated using Pearson chi-square/Fisher exact tests where appropriate. (TIF)
الإتاحة: https://doi.org/10.1371/journal.pone.0297809.s002Test
https://figshare.com/articles/figure/Fatal_outcomes_in_groups_stratified_according_to_the_cut-off_value_of_SHR1_/25121012Test -
8
المؤلفون: Sarawut Krongsut, Chatchon Kaewkrasaesin
مصطلحات موضوعية: Medicine, Cell Biology, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Infectious Diseases, Computational Biology, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, various glucose metrics, stress hyperglycemia ratio, poor functional outcome, newly developed metric, including different types, greatest predictive power, different glucose metrics, continuous glucose metrics, acute ischemic stroke, 48 – 14, 2015 &# 8211, 59 &# 215, hba1c )&# 8722, assess adverse outcomes, 59 ], shr4, 009 ), 003 ), sich
الوقت: 3
الوصف: Univariable and multivariable logistic regression analysis of the relationship between glucose metrics and fatal outcomes.
الإتاحة: https://doi.org/10.1371/journal.pone.0297809.t003Test
https://figshare.com/articles/dataset/Univariable_and_multivariable_logistic_regression_analysis_of_the_relationship_between_glucose_metrics_and_fatal_outcomes_/25121030Test -
9صورة
المؤلفون: Sarawut Krongsut, Chatchon Kaewkrasaesin
مصطلحات موضوعية: Medicine, Cell Biology, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Infectious Diseases, Computational Biology, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, various glucose metrics, stress hyperglycemia ratio, poor functional outcome, newly developed metric, including different types, greatest predictive power, different glucose metrics, continuous glucose metrics, acute ischemic stroke, 48 – 14, 2015 &# 8211, 59 &# 215, hba1c )&# 8722, assess adverse outcomes, 59 ], shr4, 009 ), 003 ), sich
الوقت: 3
الوصف: Dataset: (A) IHM, (B) MCE, (C) sICH, (D) 3-month mortality, and (E) 3-month poor functional outcome.
الإتاحة: https://doi.org/10.1371/journal.pone.0297809.g002Test
https://figshare.com/articles/figure/The_ROC_analyses_of_SHR_GG_absolute_plasma_glucose_FPG_and_admission_RPG_and_HbA1c_for_predicting_fatal_outcomes_/25121021Test -
10
المؤلفون: Sarawut Krongsut, Chatchon Kaewkrasaesin
مصطلحات موضوعية: Medicine, Cell Biology, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Infectious Diseases, Computational Biology, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, various glucose metrics, stress hyperglycemia ratio, poor functional outcome, newly developed metric, including different types, greatest predictive power, different glucose metrics, continuous glucose metrics, acute ischemic stroke, 48 – 14, 2015 &# 8211, 59 &# 215, hba1c )&# 8722, assess adverse outcomes, 59 ], shr4, 009 ), 003 ), sich
الوقت: 3
الوصف: AuROC analysis, optimal cutoff score, predictive values of glucose metrics at admission for predicting IHM, MCE, sICH, 3-month mortality, and 3-month poor functional outcome.
الإتاحة: https://doi.org/10.1371/journal.pone.0297809.t002Test
https://figshare.com/articles/dataset/AuROC_analysis_optimal_cutoff_score_predictive_values_of_glucose_metrics_at_admission_for_predicting_IHM_MCE_sICH_3-month_mortality_and_3-month_poor_functional_outcome_/25121027Test
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