Literature DB >> 7955999

Random blood glucose estimation in type 2 diabetes: does it reflect overall glycaemic control?

G V Gill1, K J Hardy, A W Patrick, A Masterson.   

Abstract

The relationship between clinic-measured random blood glucose and glycated haemoglobin was investigated in 204 non-insulin-dependent diabetic patients to determine the value of random blood glucose on management decisions in these patients. Treatment was with diet alone in 104 patients (51%: Group 1), and diet and oral hypoglycaemic agents in 100 patients (49%: Group 2). Random blood glucose and glycated haemoglobin were lower in Group 1 than Group 2 (10.9 +/- 4.0 vs 13.0 +/- 4.0 mmol l-1, p < 0.001, and 8.5 (7.8-10.2) vs 9.6 (8.1-11.0)%, p < 0.01, respectively), and there was a positive correlation between random blood glucose and glycated haemoglobin in both groups (rGroup1 = 0.76, and rGroup2 = 0.54, both p < 0.001). In Group 1, 48 (46%) patients had a random blood glucose < 10 mmol l-1 and all but 2 of these had a glycated haemoglobin of < 10%. Thus, random blood glucose < 10 mmol l-1 was 96% sensitive for glycated haemoglobin < 10%. In Group 2 the same sensitivity was 92%. These data suggest that clinic-measured random blood glucose levels below 10.0 mmol l-1 predict acceptable overall glycaemic control in non-insulin-dependent diabetic patients, particularly in those on diet alone. However, a clinic-measured random blood glucose above 10 mmol l-1 was of limited value in predicting glycated haemoglobin values above 10% and a blood glucose cut-off of 14 mmol l-1 appeared more useful. Where resources are limited, clinic random blood glucose estimation may allow clinicians to use glycated haemoglobin measurements more discriminately.

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Year:  1994        PMID: 7955999     DOI: 10.1111/j.1464-5491.1994.tb00337.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  12 in total

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4.  Noncommunicable disease management in resource-poor settings: a primary care model from rural South Africa.

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5.  Neurodegenerative differences in the retinas of male and female patients with type 2 diabetes.

Authors:  Glen Y Ozawa; Marcus A Bearse; Kevin W Bronson-Castain; Wendy W Harrison; Marilyn E Schneck; Shirin Barez; Anthony J Adams
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Review 6.  Correlates of Blood Pressure Awareness, Treatment, and Control Among Adults 50 Years or Older by HIV Status in Northwestern Tanzania.

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Journal:  Curr Hypertens Rep       Date:  2022-04-06       Impact factor: 4.592

7.  Developing a Screening Algorithm for Type II Diabetes Mellitus in the Resource-Limited Setting of Rural Tanzania.

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8.  Process evaluation of integrated diabetes management at primary healthcare facilities in Pakistan: a mixed-methods study.

Authors:  Muhammad Amir Khan; John D Walley; Saima Ali; Rebecca King; Shaheer Ellahi Khan; Nida Khan; Faisal Imtiaz Sheikh; Haroon Jehangir Khan
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9.  Glycemic Control as an Early Prognostic Marker in Advanced Pancreatic Cancer.

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10.  Treating 4,000 diabetic patients in Cambodia, a high-prevalence but resource-limited setting: a 5-year study.

Authors:  Marie-Eve Raguenaud; Petros Isaakidis; Tony Reid; Say Chy; Lim Keuky; Gemma Arellano; Wim Van Damme
Journal:  BMC Med       Date:  2009-07-14       Impact factor: 8.775

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