scholarly journals Gingival Crevicular Blood Glucose Evaluation in Patients with Periodontitis: Evolution of A New Screening Technique

2020 ◽  
Vol 29 (04) ◽  
pp. 193-198
Author(s):  
Quratulain Saeed ◽  
◽  
Sarwat Memon ◽  
Mervyn Hosein
Keyword(s):  
Blood Glucose ◽  
Hemoglobin A1c ◽  
Glycated Hemoglobin ◽  
Characteristic Curve ◽  
Screening Method ◽  
Capillary Blood ◽  
Screening Technique ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Glycated Hemoglobin A1c

OBJECTIVE: The aim and objective of this study was to assess if gingival crevicular blood could be utilized for blood glucose evaluation in patients with periodontitis and to check the reliability of this screening method. METHODOLOGY: The study was conducted at the department of Oral Medicine, Ziauddin Dental Hospital, Karachi. The sample size involved 348 participants with chronic periodontitis. The gingival crevicular blood produced during periodontal probing was collected on a glucometer strip to assess random glucose levels. Glycemic levels were also checked by finger capillary blood via a glucometer. Intravenous blood glycated hemoglobin A1c test was performed in patients found with blood glucose levels in pre-diabetic or diabetic range. RESULTS: The results of this study demonstrate a strong correlation (0.987, p< 0.001) between gingival crevicular blood and finger capillary blood glucose values and good correlation (0.709, p<0.001) between gingival crevicular bloodglucose and glycated Hemoglobin A1c levels. Receiver operating characteristic curve showed 94.1% sensitivity and 100% specificity of GCB glucose screening at the cut-off value of 168mg/dl. Gingival crevicular blood glucose showed significant regression with Finger capillary bloodglucose (R=0.987, R2=0.974, p<0.001) andglycated hemoglobin A1clevels (R=0.709, R2=0.502, p<0.001). CONCLUSIONS: From this study we conclude that gingival crevicular blood can be relied upon for screening of blood glucose levels in periodontitis patients presenting with bleeding on probing. KEYWORDS: Blood glucose, Diabetes Mellitus, Gingival Crevicular blood,Inflammation, Periodontitis. HOW TO CITE: Saeed Q, Memon S, Hosein M. Gingival crevicular blood glucose evoluation in patients with periodontitis: Evolution of a new screening technique. J Pak Dent Assoc 2020;29(4):193-198.

Abstract TP208: 1,5-anhydro-d-glucitol as a Predictor of Cerebral Infarction in Patients With Glycated Hemoglobin A1c-based Good Diabetes Control

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Yuji Shiga ◽  
Yuhei Kanaya ◽  
Shinichi Takeshima ◽  
Yasunori Fujikawa ◽  
Kazuhiro Takamatsu ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Cerebral Infarction ◽  
Hba1c Level ◽  
Hemoglobin A1c ◽  
Glycated Hemoglobin ◽  
Glycemic Variability ◽  
Diabetes Control ◽  
Short Term ◽  
High Group ◽  
Glycated Hemoglobin A1c

Introduction: Current guidelines set the goal of diabetes control to a glycated hemoglobin A1c (HbA1c) level of <7% in order to prevent macrovascular events. However, we often experience diabetes patients with cerebral infarction (CI), even though their HbA1c level is well-controlled. A reason for this disparity between the diabetes control status and CI onset may be the limitation of HbA1c as a diabetes control indicator. HbA1c reflects the mean blood glucose level over the past 2-3 months. Therefore, with HbA1c, we cannot evaluate short-term blood glucose control and glycemic variability, which are reported as risk factors for CI. Measurement of 1,5-anhydro-D-glucitol (1,5AG) allows the evaluation of these factors. Hypothesis: 1,5AG can be used to evaluate the risk of CI in patients with well-controlled diabetes. Methods: We retrospectively reviewed the medical records of 1169 patients with diabetes who received treatment for CI at our hospital between 2009 and 2014. These patients were divided into the following two groups according to their HbA1c-based diabetes control status: a CI-low group (HbA1c <7%, n=549) and a CI-high group (HbA1c ≧7%, n=620). We also included a non-CI group of 394 diabetes patients without CI (control group), and these patients were further divided into the following two groups in the same manner: a nonCI-low group (n=199) and a nonCI-high group (n=195). The 1,5AG levels were compared between the CI-low and nonCI-low groups, and the CI-high and nonCI-high groups. Results: There was no difference in the 1,5AG level between the CI-high and nonCI-high groups (8.8±7.3% vs. 8.9±7.1%, p=0.83). However, the 1,5AG level was significantly lower in the CI-low group than in the nonCI-low group (12.5±8.1% vs. 15.2±8.8%, p<0.001). This difference remained significant after adjusting for age and sex. Conclusion: The results of this study show that short-term glycemic control and glycemic variability have a significant relationship with existing CI especially in patients with good diabetes control. The 1,5AG level may be a surrogate measure of the risk of CI in patients with HbA1c levels that indicate good diabetes control.

scholarly journals Correlation between short- and mid-term hemoglobin A1c and glycemic control determined by continuous glucose monitoring

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Jen-Hung Huang ◽  
Yung-Kuo Lin ◽  
Ting-Wei Lee ◽  
Han-Wen Liu ◽  
Yu-Mei Chien ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Continuous Glucose Monitoring ◽  
Hemoglobin A1c ◽  
Glucose Monitoring ◽  
Mean Amplitude ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Before And After ◽  
Patients With Diabetes

Abstract Background Glucose monitoring is vital for glycemic control in patients with diabetes mellitus (DM). Continuous glucose monitoring (CGM) measures whole-day glucose levels. Hemoglobin A1c (HbA1c) is a vital outcome predictor in patients with DM. Methods This study investigated the relationship between HbA1c and CGM, which remained unclear hitherto. Data of patients with DM (n = 91) who received CGM and HbA1c testing (1–3 months before and after CGM) were retrospectively analyzed. Diurnal and nocturnal glucose, highest CGM data (10%, 25%, and 50%), mean amplitude of glycemic excursions (MAGE), percent coefficient of variation (%CV), and continuous overlapping net glycemic action were compared with HbA1c values before and after CGM. Results The CGM results were significantly correlated with HbA1c values measured 1 (r = 0.69) and 2 (r = 0.39) months after CGM and 1 month (r = 0.35) before CGM. However, glucose levels recorded in CGM did not correlate with the HbA1c values 3 months after and 2–3 months before CGM. MAGE and %CV were strongly correlated with HbA1c values 1 and 2 months after CGM, respectively. Diurnal blood glucose levels were significantly correlated with HbA1c values 1–2 months before and 1 month after CGM. The nocturnal blood glucose levels were significantly correlated with HbA1c values 1–3 months before and 1–2 months after CGM. Conclusions CGM can predict HbA1c values within 1 month after CGM in patients with DM.

scholarly journals Relation between Stable Glycated Hemoglobin A1c and Plasma Glucose Levels in Diabetes-model Mice.

1997 ◽  
Vol 46 (2) ◽  
pp. 135-140 ◽  
Author(s):  
Katsuaki DAN ◽  
Haruhisa FUJITA ◽  
Yoshiko SETO ◽  
Ryuichi KATO
Keyword(s):  
Plasma Glucose ◽  
Hemoglobin A1c ◽  
Glycated Hemoglobin ◽  
Glucose Levels ◽  
Glycated Hemoglobin A1c ◽  
Diabetes Model

scholarly journals Glycated hemoglobin a1c as a modern biochemical marker of glucose regulation

2014 ◽  
Vol 67 (9-10) ◽  
pp. 339-344 ◽  
Author(s):  
Suncica Kojic-Damjanov ◽  
Mirjana Djeric ◽  
Nevena Eremic-Kojic
Keyword(s):  
Blood Glucose ◽  
Hemoglobin A1c ◽  
Glycated Hemoglobin ◽  
Clinical Chemistry ◽  
Microvascular Complications ◽  
Reference Method ◽  
Laboratory Medicine ◽  
International Federation ◽  
Glycated Hemoglobin A1c ◽  
Diagnostic Criterion

Glycated Hemoglobin Structure and Synthesis of Molecule. Glycated hemoglobin A1c, the major fraction of glycated hemoglobin, is formed by irreversible nonenzymatic glycation. Its concentration depends only on the life span of red blood cells and blood glucose levels. Clinical Significance of Glycated Hemoglobin A1c. It is the key parameter for monitoring the regulation of diabetes and for assessing the risk of microvascular complications. It is a diagnostic criterion for diabetes as well. Its concentration reflects the average value of blood glucose over the last two to three months. The estimated average glucose, a new parameter which facilitates the patient?s self-monitoring of diabetes, can be calculated from its value. Methods for Determining Glycated Hemoglobin A1c and their Standardization. Immunoassay and ion-exchange chromatography are commonly used methods for the glycated hemoglobin determination in routine laboratory practice. The advantage of immunoassay is that there is no need for the sample pretreatment in order to eliminate unstable glycated hemoglobin A1c intermediary forms, and the possibility of false positive results is lower. The current program of standardization requires traceability to the International Federation of Clinical Chemistry and Laboratory Medicine reference method. Reporting and Interpretation of Results of Glycated Hemoglobin A1c Determination. Glycated Hemoglobin A1c can be reported as % or as mmol/mol. In our country, it is recommended to use the International Federation of Clinical Chemistry and Laboratory Medicine units (mmol/mol). When interpreting the results, the potential causes of falsely high or low values must always be taken into consideration. Recommendations for Clinical Practice. Periodic determinations of glycated hemoglobin A1c are recommended for monitoring of diabetes regulation. Additionally, the determination is recommended for the diagnosis of diabetes. The target value for the prevention of microvascular complications is < 7% and the diagnostic criterion for diabetes is ? 6.5%.

Correlation between glycaemic state and tooth mobility in periodontal patients

2021 ◽  
pp. 1-12
Author(s):  
Quratulain Saeed ◽  
Sarwat Memon ◽  
Mervyn Hosein ◽  
Aswad Ahmed ◽  
Sana Ikram
Keyword(s):  
Blood Glucose ◽  
Linear Regression ◽  
Glycosylated Hemoglobin ◽  
Capillary Blood ◽  
Strong Positive Correlation ◽  
Capillary Blood Glucose ◽  
Positive Correlation ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Tooth Mobility

Objective: To evaluate the association of tooth mobility with blood glucose levels and control in patients with periodontitisMethodology: The study was conducted at the department of Oral Medicine, Ziauddin Dental Hospital, Karachi. The study design was cross-sectional. The duration of this study was of 6 months, between December 2018 and May 2019. The study population involved 348 patients with chronic periodontitis. After recording demographic details and dental charting, tooth mobility scores were correlated with gingival crevicular blood glucose, finger capillary blood glucose and glycosylated hemoglobin levels by Pearson’s correlation. Linear regression was applied to assess the inter-relation between variables.Results: The mean age of individuals who participated in this study was 43+/-10.4 years. The average number of teeth present in patients with glucose levels <180mg/dl was 25.5+/-2.5 compared to 23.2+/-2.9 in individuals with glucose values of >200mg/dl. A moderate positive correlation (r=0.658) was seen between gingival crevicular blood glucose levels and tooth mobility. Finger capillary blood glucose levels also showed good correlation (R=0.653) with tooth mobility scores. HbA1c scores showed a strong positive correlation(R=0.733). Linear regression confirmed increased HbA1c as a risk factor for tooth mobility (R2=0.524, p value= 0.000).Conclusion: Tooth mobility and glycaemic levels are strongly interrelated. This study provides evidence that poor glycaemic control may contribute to the etiology of tooth mobility in patients with periodontitis. Continuous...

Standards of admission capillary blood glucose levels in cesarean born neonates

2017 ◽  
Vol 13 (5) ◽  
pp. 433-438 ◽  
Author(s):  
Tatiana Smolkin ◽  
Irena Ulanovsky ◽  
Pnina Carasso ◽  
Imad R. Makhoul
Keyword(s):  
Blood Glucose ◽  
Capillary Blood ◽  
Capillary Blood Glucose ◽  
Glucose Levels ◽  
Blood Glucose Levels
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