Random blood glucose may be used to assess long-term glycaemic control among patients with type 2 diabetes mellitus in a rural African clinical setting
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Random blood glucose may be used to assess long-term glycaemic control among patients with type 2 diabetes mellitus in a rural African clinical setting. / Rasmussen, Jon B; Nordin, Lovisa S; Rasmussen, Niclas S; Thomsen, Jakúp A; Street, Laura A; Bygbjerg, Ib C; Christensen, Dirk Lund.
I: Tropical Medicine & International Health, Bind 19, Nr. 12, 08.10.2014, s. 1515-19.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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T1 - Random blood glucose may be used to assess long-term glycaemic control among patients with type 2 diabetes mellitus in a rural African clinical setting
AU - Rasmussen, Jon B
AU - Nordin, Lovisa S
AU - Rasmussen, Niclas S
AU - Thomsen, Jakúp A
AU - Street, Laura A
AU - Bygbjerg, Ib C
AU - Christensen, Dirk Lund
N1 - © 2014 John Wiley & Sons Ltd.
PY - 2014/10/8
Y1 - 2014/10/8
N2 - OBJECTIVES: To investigate the diagnostic accuracy of random blood glucose (RBG) on good glycaemic control among patients with diabetes mellitus (DM) in a rural African setting.METHODS: Cross-sectional study at St. Francis' Hospital in eastern Zambia. RBG and HbA1c were measured during one clinical review only. Other information obtained was age, sex, body mass index, waist circumference, blood pressure, urine albumin-creatinine ratio, duration since diagnosis and medication.RESULTS: One hundred and one patients with DM (type 1 DM = 23, type 2 DM = 78) were included. Spearman's rank correlation coefficient revealed a significant correlation between RBG and HbA1c among the patients with type 2 DM (r = 0.73, P < 0.001) but not patients with type 1 DM (r = 0.17, P = 0.44). Furthermore, in a multivariate linear regression model (R(2) = 0.71) RBG (per mmol/l increment) (B = 0.28, 95% CI:0.24-0.32, P < 0.001) was significantly associated with HbA1c among the patients with type 2 DM. Based on ROC analysis (AUC = 0.80, SE = 0.05), RBG ≤7.5 mmol/l was determined as the optimal cut-off value for good glycaemic control (HbA1c <7.0% [53 mmol/mol]) among patients with type 2 DM (sensitivity = 76.7%; specificity = 70.8%; positive predictive value = 62.2%; negative predictive value = 82.9%).CONCLUSIONS: Random blood glucose could possibly be used to assess glycaemic control among patients with type 2 DM in rural settings of sub-Saharan Africa.
AB - OBJECTIVES: To investigate the diagnostic accuracy of random blood glucose (RBG) on good glycaemic control among patients with diabetes mellitus (DM) in a rural African setting.METHODS: Cross-sectional study at St. Francis' Hospital in eastern Zambia. RBG and HbA1c were measured during one clinical review only. Other information obtained was age, sex, body mass index, waist circumference, blood pressure, urine albumin-creatinine ratio, duration since diagnosis and medication.RESULTS: One hundred and one patients with DM (type 1 DM = 23, type 2 DM = 78) were included. Spearman's rank correlation coefficient revealed a significant correlation between RBG and HbA1c among the patients with type 2 DM (r = 0.73, P < 0.001) but not patients with type 1 DM (r = 0.17, P = 0.44). Furthermore, in a multivariate linear regression model (R(2) = 0.71) RBG (per mmol/l increment) (B = 0.28, 95% CI:0.24-0.32, P < 0.001) was significantly associated with HbA1c among the patients with type 2 DM. Based on ROC analysis (AUC = 0.80, SE = 0.05), RBG ≤7.5 mmol/l was determined as the optimal cut-off value for good glycaemic control (HbA1c <7.0% [53 mmol/mol]) among patients with type 2 DM (sensitivity = 76.7%; specificity = 70.8%; positive predictive value = 62.2%; negative predictive value = 82.9%).CONCLUSIONS: Random blood glucose could possibly be used to assess glycaemic control among patients with type 2 DM in rural settings of sub-Saharan Africa.
U2 - 10.1111/tmi.12391
DO - 10.1111/tmi.12391
M3 - Journal article
C2 - 25294180
VL - 19
SP - 1515
EP - 1519
JO - Tropical Medicine & International Health
JF - Tropical Medicine & International Health
SN - 1360-2276
IS - 12
ER -
ID: 127225170