Literature DB >> 12625691

Validity of random blood glucose as a predictor of the quality of glycaemic control by glycated haemoglobin in out-patient diabetic patients at Kenyatta National Hospital.

F C F Otieno1, L Ng'ang'a, M Kariuki.   

Abstract

BACKGROUND: Patients with diabetes mellitus in Kenya come to the hospital for follow-up visits very infrequently. For most of these patients their blood glucose monitoring is done only on the day of visit to the doctor.
OBJECTIVE: To determine how well the physician-based morning random blood level determines or reflects the quality of glycaemic control.
DESIGN: Cross-sectional study (morning, random blood glucose taken between 8.00 a.m. and 12.00 noon).
SETTING: Out-patient diabetic clinic of Kenyatta National Hospital.
SUBJECTS: Patients with diabetes mellitus either type 1 or type 2 attending the out-patient clinic. MAIN OUTCOME MEASURES: Random blood glucose (morning) and glycated haemoglobin (HbA1c).
RESULTS: The morning random glucose level had a linear relationship with glycated haemoglobin levels taken simultaneously. A blood glucose level of 7 mmol/l had 92.7% sensitivity for good control (HbA1c < or = 7.8%) on a blood sample which was taken simultaneously and 59.8% specific for the same. When blood glucose cut-off level was raised to 10 mmol/l sensitivity fell to 66.3% for HbA1c < or = 7.8%, and 83.2% specificity for poor glycaemic control (HbA1c > 7.8%). There was marked fall in sensitivity of rising random blood glucose level in predicting good glycaemic control in our study, with concomitant rise in specificity of those high cut-off levels of blood glucose in predicting poor glycaemic control.
CONCLUSION: Morning random blood glucose in the ambulatory diabetic patients related well to simultaneously assayed HbA1c. Blood glucose within usual therapeutic targets of 4-8 mmol/l predicted good glycaemic control (HbA1c < or = 7.8%) with high sensitivity at the range of 86.3-98.4%. In resource-poor settings, the morning random blood glucose assay, which is done in patients who may attend the diabetic clinic in the morning hours, may be used to predict the quality of their diabetic control. However caution should be exercised in its widespread use because its overall applicability may be clinic-specific depending largely on the average metabolic control of the diabetic population using that clinic. Further studies need to be done to relate HbA1c to blood glucose levels obtained at different times of the day in this population to determine the best predictor of good glycaemic control.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12625691     DOI: 10.4314/eamj.v79i9.9122

Source DB:  PubMed          Journal:  East Afr Med J        ISSN: 0012-835X


  7 in total

1.  Do preoperative glycosylated hemoglobin (HbA1C) and random blood glucose levels predict wound healing complications following exodontia in type 2 diabetes mellitus patients?-a prospective observational study.

Authors:  B Krishnan; G Arun Prasad; R Saravanan; B Madhan; T Kadhiravan
Journal:  Clin Oral Investig       Date:  2020-05-29       Impact factor: 3.573

2.  Vida Sana: a lifestyle intervention for uninsured, predominantly Spanish-speaking immigrants improves metabolic syndrome indicators.

Authors:  Jacob Buckley; Shahla Yekta; Valerie Joseph; Heather Johnson; Susan Oliverio; Anne S De Groot
Journal:  J Community Health       Date:  2015-02

3.  Protocol on a multicentre statistical and economic modelling study of risk-based stratified and personalised screening for diabetes and its complications in India (SMART India).

Authors:  Sobha Sivaprasad; Rajiv Raman; Ramachandran Rajalakshmi; Viswanathan Mohan; Mohan Deepa; Taraprasad Das; Kim Ramasamy; A Toby Prevost; Raphael Wittenberg; Gopalakrishnan Netuveli; Gopal Lingam; Wasim Hanif; Radha Ramakrishnan; Jayashree Ramu; Janani Surya; Dolores Conroy
Journal:  BMJ Open       Date:  2020-12-12       Impact factor: 2.692

4.  HbA1c performs well in monitoring glucose control even in populations with high prevalence of medical conditions that may alter its reliability: the OPTIMAL observational multicenter study.

Authors:  Anxious J Niwaha; Lauren R Rodgers; Rosamund Greiner; Priscilla A Balungi; Raymond Mwebaze; Timothy J McDonald; Andrew T Hattersley; Beverley M Shields; Moffat J Nyirenda; Angus G Jones
Journal:  BMJ Open Diabetes Res Care       Date:  2021-09

5.  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

6.  Single, community-based blood glucose readings may be a viable alternative for community surveillance of HbA1c and poor glycaemic control in people with known diabetes in resource-poor settings.

Authors:  Daniel D Reidpath; Nowrozy K Jahan; Devi Mohan; Pascale Allotey
Journal:  Glob Health Action       Date:  2016-08-09       Impact factor: 2.640

7.  Imputing HbA1c from capillary blood glucose levels in patients with type 2 diabetes in Sri Lanka: a cross-sectional study.

Authors:  Monica Choo; Gregory E Hoy; Sarah P Dugan; Laura N McEwen; Naresh Gunaratnam; Jennifer Wyckoff; Thangarasa Jeevaraaj; Arunachalam Saththiyaseelan; B Ganeikabahu; Prasad Katulanda; Ulysses Balis; William H Herman; Anjan K Saha
Journal:  BMJ Open       Date:  2020-07-19       Impact factor: 2.692

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.