Advanced searches left 3/3

A1C - Crossref

Summarized by Plex Scholar
Last Updated: 10 May 2022

* If you want to update the article please login/register

Hemoglobin A1c as a Diagnostic Tool: Public Health Implications From an Actor–Network Perspective

The reasons for collecting hemoglobin A1c data, particularly in clinical settings, should be reframed to place more emphasis on nonmedical determinants of population health. Public health researchers must pay close attention to diagnostic results and their usages, as well as rhetorical uses in this comparison. The second scenario predicts downstream interventions but also upstream interventions targeting environments.

Source link: https://doi.org/10.2105/ajph.2011.300329


Text Message Responsiveness to BG Monitoring (BGM) Reminders Improves A1c in Teens with Type 1 Diabetes (T1D)

For more than 18 months, we tested a text messaging intervention in teens with T1D and found the causes associated with text responsiveness and glycemic benefit. Methods: Teens with T1D (ages 13-17 years) were sent by text message at self-selected times to check BG levels and reply by text with BG findings. The mean number of days with 1+ BG responses decreased over time. Although High Responders' age, T1D duration, and sex distribution were similar, However, High Responders had lower baseline A1c and higher daily BGM frequency compared to "Low Responders" who were similar, but High Responders had lower baseline A1c and higher daily BGM frequency. In comparison to a significant A1c increase in Low Responders despite a significant rise in Low Responders, a regression analysis based on baseline A1c found no significant change in A1c from baseline to 18 months in High Responders. High Responders were 2. 6 times more likely than Low Responders to raise A1c by 0. 5 percent from baseline to 18 months in teens with baseline A1c 8 percent.

Source link: https://doi.org/10.2337/db18-161-lb


Trends in Glycemic Control Based on A1C Factorisation across Different Clinical Settings

Around, 20-40% patients with diabetes reach the glycemic target, globally. ANOVA findings[1264 patients with an A1C 6%, and 2709 patients between 6-9 percent across centers]; demonstrating well-controlled patients and the uncontrolled patient population. Patients with A1C between 77. 3 percent and 8-9. 9% respectively, the former group, with 22. 52% and 23. 4 percent patients, represented a group that could be aggressively treated to eliminate the "missed opportunities" in achieving glycemic control and rise the percentage of patients achieving target targets and raise the percentage of patients meeting target goals. 13267837686807162. 1848. 61466761716. 26747667:24 people 136363670276866. 374. 64396769196711. 268. 6944666111261. 7690. 291. 363656808561706716. 69689208181. 7666666636811696911. 06268441718212966. 126. 444. 122. 47316. 1906876136.

Source link: https://doi.org/10.2337/db18-1685-p


Efficacy of A1C in the Presence of HbC Trait Needs Evaluation

In 15% of West Africans, Hemoglobin C trait is a Hb variant. Many studies have found that the HbS trait may influence A1C's diagnostic efficiency. There are no studies on the effect of the HbC trait on A1C. We wanted to determine by Hb-type the sensitivity and specificity of A1C as a diagnostic tool for the detection of abnormal glucose tolerance in 369 blacks born in Africa and currently reside in the Washington, DC area. A1C detected no one in the HbC trait group with abnl-GT by A1C. Moreover, specificity of A1C in the HbC trait group was 100 percent, with no one with normal glucose tolerance having A1C5. 7%. Although the number of individuals with HbC trait was small, our findings suggest that greater investigation into A1C's diagnostic performance in the presence of the HbC gene should be carried out.

Source link: https://doi.org/10.2337/db18-1621-p


Hemoglobin A1c, hemoglobin glycation index, and triglyceride and glucose index: Useful tools to predict low feed intake associated with glucose intolerance in lactating sows

The aim of this research was to determine hemoglobin A1c, the hemoglobin glycation index, and triglyceride and glucose index as predictive indicators of poor feeding intake in lactating sows due to glucose intolerance. On day 3 of lactation, the highest blood glucose level was recorded. On farrowing day and day 21 of lactation, the average glycemic concentrations obtained from HbA1c were lower than those measured by a glucometer on the same days. When the TG index was calculated using blood glucose measurements determined by a glucometer, 50% of G2 did not have glucose intolerance when it was determined using the HGI, compared to 54% when it was calculated using blood glucose concentrations determined by a glucometer.

Source link: https://doi.org/10.1371/journal.pone.0267644


Case Report: Abnormally Low Glycosylated Hemoglobin A1c Caused by Clinically Silent Rare β-Thalassemia in a Tujia Chinese Woman

Background The hemoglobin A1c is a commonly used tool for monitoring blood glucose control and diagnosing diabetes. The most commonly used method to detect HbA1c in clinical practice is high-performance liquid chromatography. Case Description In a health check-up, a 36-year-old Tujia Chinese woman was found with unusually low HbA1c level of 3. 4 percent by HPLC. Normal blood glucose, routine blood tests, and serum bilirubin were all normal. Low hemoglobin A and abnormal hemoglobin -chain variants were found in Hemoglobin electrophoresis, as well as other hemoglobin -chain variants. A unique form of -thalassemia' is shown by a thalassemia gene test. Oral glucose tolerance and insulin resistance were demonstrated by urine glucose tolerance and insulin resistance by oral glucose tolerance tests and insulin release studies. The patient's lifestyle change was recommended by an endocrinologist. GA returned to normal three months after, and insulin resistance and impaired glucose control improved. Conclusions: By being physically impaired, it could lead to low HbA1c values and distorted chromatograms by HPLC.

Source link: https://doi.org/10.3389/fendo.2022.878680


Partial Clinical Remission of Type 1 Diabetes: The Need for an Integrated Functional Definition Based on Insulin-Dose Adjusted A1c and Insulin Sensitivity Score

When assessing by insulin-dose adjusted A1c, an accepted clinical measure of PR, 55% of subjects with new-onset T1D and a detectable SCP level of > 300 pmol/L showed poor insulin sensitivity, meaning they were not in remission and therefore not in remission. In both A1c and IDAA1c in the ergocalciferol group, the second research, a randomized controlled trial of vitamin D therapy in children and adolescents with new-onset T1D, showed no significant difference in SCP, but it did show a significant decrease in the temporal trend in both A1c and IDAA1c. To obtain a credible analysis of PR that extends beyond SCP's static changes, these shortcomings call for a broader definition of PR using a combination of functional metrics such as IDAA1c and ISS.

Source link: https://doi.org/10.3389/fendo.2022.884219


Ancestral Differences in Hemoglobin A1C (A1C) Associations of Erythrocyte Genes Using NHLBI Trans-Omics for Precision Medicine (TOPMed) Whole Genome Sequence (WGS) Data

The most recent transethnic genome wide association study on A1C found 22 loci that change A1C independently of glycemia. We used TOPMED WGS results to determine ancestral links with A1C at these loci and 23 additional erythrocyte genes that were not previously reported to be connected to A1C. The Jackson Heart Study and Amish, 2005, A1C in 5224 non-diabetic individuals [2662 European ancestry] in the United States and Amish, respectively; 562 African ancestry — The Jackson Heart Study and Amish were conducted in WGS association analyses of A1C in 5224 nondiabetic individuals [2662 European ancestry, 1162 African ancestry : Using age and sex-a An A1C response and MAF are caused by genetic variation at erythrocyte genes, which result in ancient variations in A1C formation and MAF.

Source link: https://doi.org/10.2337/db18-1712-p


Diagnostic Accuracy of Salivary Biomarkers including Lactate Dehydrogenase and Hemoglobin A1c for Screening Chronic Periodontitis

Periodontitis is one of the most common chronic bacterial infections in humans that affects the tooth-supporting tissue. Aims: Periodontitis is one of the most common chronic bacterial infections in humans. The aim of this investigation was to determine and compare salivary biomarkers, including lactate dehydrogenase and hemoglobin A1c, among patients with severe persistent periodontitis and healthy individuals. Methods: This research was done at Zahedan University of Medical Sciences, Zahedan, Iran, 2021, on 29 patients with severe persistent periodontitis and 30 healthy people. LDH and HbA1C levels in the present study did not have sufficient sensitivity or specificity for screening chronic periodontitis.

Source link: https://doi.org/10.1155/2022/1119038

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions