scholarly journals The relationship between blood glycosylated haemoglobin and home capillary blood glucose levels in diabetics

Diabetologia ◽  
1980 ◽  
Vol 19 (1) ◽  
pp. 31-34 ◽  
Author(s):  
R. B. Paisey ◽  
D. G. Macfarlane ◽  
R. J. Sherriff ◽  
M. Hartog ◽  
R. R. Slade ◽  
...  
Author(s):  
Quratulain Saeed ◽  
Sarwat Memon ◽  
Mervyn Hosein ◽  
Aswad Ahmed ◽  
Sana Ikram

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...


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

Author(s):  
Suresha R. N. ◽  
Siddamma Amoghimath ◽  
Jayanthi M. K.

Background: Diabetes mellitus (DM) consists of a group of syndromes characterised by hyperglycaemia, altered metabolism of lipids, carbohydrates and proteins and an increased risk of complications from vascular disease. There are genetic and environmental components that affect the risk of developing either type 1 or type 2 diabetes mellitus.Methods: Twelve Swiss albino rats weighing around 150-200gmsof either sex were randomly selected from the central animal facility, JSSMC, Mysore and divided into two groups. The control group received distilled water (25ml/kg body wt.) per orally, test group received Neostigmine (0.5mg/kg/day) per orally for 5 days. On the fifth day, following overnight fasting, 1 hour after drug administration in all the group of rats OGTT was performed, by administering oral glucose in dose of 0.6gm/kg body weight. The capillary blood glucose level was measured at 0, 60 and 150 minutes, by rat tail snipping method using (ACCUCHEK) glucometer.Results: The Capillary Blood Glucose levels of Neostigmine group was less when compared to control group at all-time intervals.Conclusions: Neostigmine showed the hypoglycemic activity when given for 5 days orally in euglycemic albino rats through OGTT.


Heliyon ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. e01286 ◽  
Author(s):  
Richard K.D. Ephraim ◽  
Enoch Odame Anto ◽  
Emmanuel Acheampong ◽  
Linda Ahenkorah Fondjo ◽  
Richmond B. Barnie ◽  
...  

2009 ◽  
Vol 10 (2) ◽  
pp. 10-17 ◽  
Author(s):  
Amir Moeintaghavi ◽  
Mohammad Reza Talebi Ardakani ◽  
Ahmad Haerian ◽  
Mohammad Afkhami Ardakani ◽  
Mahdi Hashemzadeh

Abstract Aim The aim of this study was to evaluate the correlation between capillary blood glucose levels (CBGLs) and sulcular blood glucose levels (SBGLs) using blood obtained from gingival tissue during routine periodontal examinations to determine if sulcular blood samples can be used as a non-invasive means to diagnosis blood glucose levels. Methods and Materials Thirty non-diabetics and 30 diabetic patients with moderate to severe periodontitis were included in the study and subjected to routine clinical periodontal examinations. Blood was collected using a 1.6-1.8 mm diameter micro bite collection tube to transport the sample from the gingival sulci of anterior teeth following periodontal pocket probing to a test strip of a glucose self-monitoring device. As a control, capillary blood was taken with a finger-stick. Statistical analysis was performed using the Pearson's correlation coefficient and a t-test. Results The blood glucose levels in patients ranged from 58 mg/dl to 477 mg/dl, and the values of blood samples taken from gingival sulcus or finger tip of the same patient showed a very high intra-patient correlation (r =0.99, p< 0.0001). Conclusion The results of this study suggest sulcular blood from a routine periodontal examination may be used for diabetes mellitus screening. Clinical Significance Considering 50% of diabetics remain undiagnosed, testing sulcular blood may provide a suitable method for identifying potential diabetic patients during routine dental visits since there is a correlation with capillary blood. Appropriate referrals to a physician can then be made when warranted. Citation Ardakani MRT, Moeintaghavi A, Haerian A, Ardakani MA, Hashemzadeh M. Correlation between Levels of Sulcular and Capillary Blood Glucose. J Contemp Dent Pract 2009 March; (10)2:010-017.


2021 ◽  
Vol 11 (5) ◽  
pp. 2006
Author(s):  
Jai-Chang Park ◽  
Seongbeom Kim ◽  
Je-Hoon Lee

Diabetes mellitus is a severe chronic disease, and the number of patients has increased. To manage blood glucose levels, patients should frequently measure their blood glucose and analyze which lifestyle habits affect blood glucose levels. However, it is hard to record and analyze the relationship between their blood glucose levels and lifestyle. The internet of things (IoT) is useful to interconnect, monitor, obtain, and process data between various devices used in everyday life to fulfill a common objective. This paper proposes an intelligent self-care platform using IoT technology that helps patients with chronic diabetes manage their blood glucose levels in their target range. In particular, we developed various devices called the self-care IoT pack. It consists of five different types of devices to obtain blood glucose levels, physical activities, food intake, medication, sleeping, and so on. They can collect blood glucose levels with lifestyles that automatically impact the patient’s blood glucose level. We also devised a self-care application to display and analyze the data obtained from the IoT pack. Consequently, the proposed self-care IoT platform collects the blood glucose levels and the lifestyles without any burden of record. By reviewing the accumulated information, the patients can find bad habits in blood glucose management and improve their lifestyle.


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