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A1C - DOAJ

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Last Updated: 10 May 2022

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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 involve the tooth-supporting tissue, according to Aims. The present research sought to investigate and compare salivary biomarkers, including lactate dehydrogenase and hemoglobin A1c, between patients with severe chronic periodontitis and healthy individuals. In 2021, the Zahedan University of Medical Sciences, Zahedan, Iran, measured 29 patients with severe persistent periodontitis and 30 healthy people. Conclusions: Based on the current findings, the LDH and HbA1C levels did not have sufficient sensitivity or specificity for screening chronic periodontitis.

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


Association between fat mass index, fat‐free mass index and hemoglobin A1c in a Japanese population: The Tohoku Medical Megabank Community‐based Cohort Study

With HbA1c, the intended purpose of the present study was to investigate the correlation between the fat mass index and a fat-free mass index. Both the fat mass and fat-free mass index were calculated as fat mass and fat-free mass divided by the height squared, respectively. With HbA1c adjusted for potential confounders, an analysis of covariance was used to determine correlations between the combined fat mass index and fat-free mass index. Results In all fat-free mass index subgroups, men and women had a higher body mass index, according to multivariable models. In most fat mass index subgroups, the insulin-free mass index was also linked to elevated HbA1c levels that had been excluded from the participants who had been identified as diabetes-related. When we excluded participants who had been confirmed as having diabetes, we were also related to HbA1c levels.

Source link: https://doi.org/10.1111/jdi.13729


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

BackgroundAngelized hemoglobin A1c is a key tool for monitoring blood glucose levels and diagnosing diabetes. The most commonly used method to detect HbA1c in clinical practice is high-performance liquid chromatography. To HPLC's health check-up, a 36-year-old Tujia Chinese woman was found to have unusually low HbA1c level of 3. 4 percent. Normal fasting blood glucose, routine blood tests, and serum bilirubin were all normal. Hemoglobin electrophoresis revealed low hemoglobin A and abnormal hemoglobin A levels in both Hemoglobin A and abnormal hemoglobin -chain variants, according to Hemoglobin electrophoresis. A rare form of -thalassemia was found by a thalassemia gene test, which was confirmed by a thalassemia gene mutation. The impairment of glucose tolerance and insulin resistance was demonstrated by oral glucose tolerance tests and insulin release tests. Poor HbA1c values and abnormal chromatograms by HPLC can result in low HbA1c values and abnormal chromatograms by HPLC three months after GA returned to normal, but impaired glucose tolerance and insulin resistance have increased.

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

Given recent developments in the field of partial clinical remission of type 1 diabetes, an accurate measure of PR remains uncertain. Two new studies in children with new-onset T1D revealed serious deficiencies of the existing gold standard definition of PR, as well as a higher C-peptide concentration of > 300 pmol/L. When tested by insulin-dose adjusted A1c, an acceptable clinical measure of PR, 55% of patients with new-onset T1D and a detectable SCP level of > 300 pmol/L showed low insulin sensitivity, and therefore likely not be in remission. In both A1c and IDAA1c studies, the second study, a random controlled trial of vitamin D administration in children and adolescents with new-onset T1D, showed no significant difference in SCP in both groups, but it did show a drastic decrease in the temporal trend in both A1c and IDAA1c.

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


Long-term effect of the eradication of Helicobacter pylori on the hemoglobin A1c in type 2 diabetes or prediabetes patients

This research was designed to determine the effect of H. pylori eradication on glycemic control in type 2 diabetes mellitus or prediabetes mellitus. At the 1st year and the 5th year of follow-up, we measured H. pylori status and glycated hemoglobin A1c levels, as well as a follow-up. H. pylori eradication was related to the reduction of A1C levels in patients with T2DM or preDM over a long-term follow-up period, particularly in male and subjects aged 65 years old.

Source link: https://doi.org/10.3904/kjim.2021.194


Associations of the baseline level and change in glycosylated hemoglobin A1c with incident hypertension in non-diabetic individuals: a 3-year cohort study

Background information: Diabetes mellitus raises the risk of developing hypertension. The relationship between glycosylated hemoglobin A1c level and event hypertension remains unclear. This research looked at the correlations between the baseline level and rise in the HbA1c level over three years with incident hypertension in non-diabetic individuals. HbA1c change in the fully adjusted linear regression models was highly associated with changes in systolic blood pressure and diastolic blood pressure [-coefficient, 4. 421, 1. 681]. Conclusions: A higher baseline HbA1c level was not an independent risk factor for event hypertension, but the change in HbA1c was positively associated with a rise in blood pressure and an elevated risk of incident hypertension in non-diabetic individuals.

Source link: https://doi.org/10.1186/s13098-022-00827-8


Relationship between hemoglobin A1c level and flow‐mediated vasodilation in patients with type 2 diabetes mellitus receiving antidiabetic drugs

The aim of this research was to determine the correlations between the hemoglobin A1c level and flow-mediated vasodilation and nitroglycerine-induced vasodilation in patients with type 2 diabetes mellitus who are receiving antidiabetic drugs. Methods and methods The FMD was determined in 866 patients with type 2 diabetes mellitus who were receiving antidiabetic medications. Conclusions There was an inverted U-shaped pattern of HbA1c-association with FMD in patients with type 2 diabetes mellitus who were receiving antidiabetic drugs at a level of about 7% of the peak of FMD in patients with type 2 diabetes mellitus. Conclusions: These results show that a low HbA1c 6. 5%, as well as a high HbA1c 8. 0% are associated with endothelial dysfunction in patients with type 2 diabetes mellitus who are receiving antidiabetic medications, and that vascular smooth muscle function is similar in such patients, regardless of the HbA1c level.

Source link: https://doi.org/10.1111/jdi.13705


Multistate Markov model for predicting the natural disease progression of type 2 diabetes based on hemoglobin A1c

The health status of a patient may be characterized using a limited number of disease states in studies of many chronic medical disorders. The multi-state Markov system is a simple way to identify states of a disease as time goes. Objectives: The main aim of this report is to determine the importance and significance of HbA1c as a useful disease marker for type 2 diabetes by using a three-state Markov system. Patients and Methods: This study included a total of 246 type 2 diabetic patients. In addition, transition intensities, migration rates, mean sojourn time in each state, and even predicted state specific survival time have been evaluated. According to the reports, a patient in state 1 is 16. 4 times more likely to move to state 2 than to move to a diabetic state. In comparison to a normal state, a patient in pre-diabetic is 7. 5 times more likely to move to diabetic state. Also, if a patient is in a diabetic state there is 78 percent chance of relocating to a diabetic state relative to 4% and 17% of moving to a normal or pre-diabetic state, it will be difficult to move to a diabetic state. Conclusion: In each state, the estimated total length of time in each state is expected to be four months, five months in pre-diabetic state, and 39 months in diabetic state.

Source link: https://doi.org/10.15171/npj.2019.04


A1C predicts type 2 diabetes and impaired glucose tolerance in a population at risk: the community diabetes prevention project

Methods A number of 388 people at risk of T2DM were randomised to Standard or Intervention Care and monitored at baseline and five annual follow-up visits, including blood pressure, BMI, A1C, lipids, urine albumin/creatinine ratio, VO2 max, fasting glucose, insulin, and C-peptide. The Standard group received annual lab reports and quarterly newsletters, while the Intervention group received quarterly newsletters and detailed reports of laboratory findings, routine self-directed training, semi-annual group meetings, and monthly telephone calls for continuing assistance. Compared to those with baseline A1C > 5. 8% and those with a threshold of 5. 8% were 17. 16 times higher within IGT/T2DM within five years as compared to those with baseline A1C > 5. 8%. Baseline A1C >> 5. 8% was a good predictor of IGT/T2DM within five years in a population at high risk of T2DM.

Source link: https://doi.org/10.1186/1758-5996-1-5


Effectiveness of standardized nursing care plans to achieve A1C, blood pressure, and LDL-C goals among people with poorly controlled type 2 diabetes mellitus at baseline: four-year follow-up study

Abstract Background No studies have investigated the role of nursing care services in patients with poorly controlled type 2 diabetes mellitus. In patients with poorly controlled type 2 diabetes mellitus at baseline compared to Usual Nursing Care, we first wanted to determine the efficiency of implementing Standardized languages in Nursing Care Plans for raising A1C, blood pressure, and low density lipoprotein cholesterol in patients with poorly controlled type 2 diabetes mellitus at baseline. Results More patients cared for using SNCP to achieve blood pressure goals than those who were not treated for UNC, but the differences were not significant. Conclusions In patients with poorly controlled type 2 diabetes mellitus, there are no reasons to recommend the use of SNCP instead of UNC with the intention of assisting patients in meeting their ABC objectives.

Source link: https://doi.org/10.1186/s12875-018-0800-z

* 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