Dataset Information

Factors associated with potential over- and undertreatment of hyperglycaemia and annual measurement of HbA_1c in type 2 diabetes in norwegian general practice.

ABSTRACT:

Aims

To identify individual and general practitioner (GP) characteristics associated with potential over- and undertreatment of hyperglycaemia in type 2 diabetes and with HbA_1c not being measured.

Methods

A cross-sectional study that included 10233 individuals with type 2 diabetes attending 282 GPs. Individuals with an HbA_1c measurement during the last 15 months were categorized as potentially overtreated if they were prescribed a sulphonylurea and/or insulin when the HbA_1c was less than 53 mmol/mol (7%) when aged over 75 years or less than 48 mmol/mol (6.5%) when aged between 65 and 75 years. Potential undertreatment was defined as age less than 60 years and HbA_1c > 64 mmol/mol (8.0%) or HbA_1c > 69 mmol/mol (8.5%) and treated with lifestyle modification and/or monotherapy. We used multilevel binary and multinominal logistic regression models to examine associations.

Results

Overall, 4.1% were potentially overtreated, 7.8% were potentially undertreated and 11% did not have HbA_1c measured. Characteristics associated with potential overtreatment were as follows: long diabetes duration, prescribed antihypertensive medication, cardiovascular disease and renal failure. Potential undertreatment was associated with male gender, non-western origin and low educational level. Characteristics associated with not having an HbA_1c measurement performed were male gender, age < 50 years and cardiovascular diseases. GP specialist status and GPs' use of a Noklus diabetes application reduced the risk of not having an HbA_1c measurement performed.

Conclusion

Potential overtreatment in elderly individuals with type 2 diabetes was relatively low. Nevertheless, appropriate de-intensification or intensification of treatment and regular HbA_1c measurement in identified subgroups is warranted.

SUBMITTER: Tran AT

PROVIDER: S-EPMC8359382 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundCombining HbA1c with glycated albumin (GA) may improve detection of dysglycaemia. As BMI correlates positively with HbA1c and negatively with GA, HbA1c may be more effective in obese and GA in nonobese individuals.MethodsTo relate these findings to Africans, we assessed in 1274 South Africans living in CapeTown (male 26%; age 48±16y; BMI 28.7 kg/m2 (range 15.6-73.8); obesity 39.9% and no prior diabetes history) the: (1) correlation of BMI with HbA1c and GA, (2) ability of HbA1c and GA separately and jointly, to detect OGTT-diagnosed dysglycaemia (diabetes plus prediabetes). Data collection took place between 2014 and 2016 in the City of Cape Town. Dysglycaemia was diagnosed by glucose criteria for the OGTT. Youden index was used to optimize diagnostic thresholds for HbA1c and GA.FindingsNormal glucose tolerance, prediabetes and diabetes occurred in 76%, 17% and 7%, respectively. BMI positively correlated with HbA1c [r = 0·34 [95%CI: 0·29,0·39)] and negatively with GA [-0·08 (0·13,0·03)]. For HbA1c the optimal threshold by Youden-index for dysglycaemia diagnosis was: 6·0% (95%CI: 5·8,6·2) and for GA: 13·44% (12·72,14·71). In the nonobese, obese and total cohort, HbA1c-alone detected: 51% (42-60), 72% (65,78), 63% (57,68), respectively; GA-alone detected 55% (52% (46,63), 52% (44, 59) and 53% (47,53), respectively; whereas: HbA1c+GA detected: 69% (60,76), 82% (75,87) and 76% (71, 81). Therefore, for the total cohort detection of dysglycaemia HbA1c-alone vs HbA1c+GA detected 63% (57,68) vs 76% (71,81).InterpretationThe opposite correlations of HbA1c and GA with BMI have now been demonstrated in an African-based population. Improving detection of dysglycaemia by combining HbA1c and GA has important implications for diabetes risk screening.FundingAES is supported by the intramural programs of the National Institute of Diabetes and Digestive and Kidney Diseases and the National Institute of Minority Health and Health Disparities of the National Institutes of Health (NIH, Bethesda, Maryland, USA). DBS is supported by the intramural program of the Clinical Center of NIH. The South African Medical Research Council (SAMRC) funded the VMH study with funds from the National Treasury under its Economic Competitiveness and Support Package (MRC-RFA-UFSP-01-2013/VMH Study).

Dataset Information

Factors associated with potential over- and undertreatment of hyperglycaemia and annual measurement of HbA_1c in type 2 diabetes in norwegian general practice.

Aims

Methods

Results

Conclusion

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OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Factors associated with potential over- and undertreatment of hyperglycaemia and annual measurement of HbA1c in type 2 diabetes in norwegian general practice.

Aims

Methods

Results

Conclusion

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Factors associated with potential over- and undertreatment of hyperglycaemia and annual measurement of HbA_1c in type 2 diabetes in norwegian general practice.