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Shaheen Mannan Amaju Ikomi
Replacing IADPSG with NICE glucose thresholds for diagnosing gestational diabetes: benefit or burden? Shaheen Mannan Amaju Ikomi RCOG WORLD CONGRESS 2016 BIRMINGHAM 20-22nd JUNE
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Diagnostic thresholds for gdm (mmol/l)
Criteria Fasting 1 hour 2 hours WHO 1999 6 - 7.8 IADPSG 2010 5 9.9 8.4 NICE 2015 5.6
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Background IADPSG implemented in February 2013 due to macrosomia rate of 30% in IADPSG positive, WHO negative women. Macrosomia rate in IADPSG positive, WHO negative women normalised to 10.5% post implementation of IADPSG. Release of NICE threshold in February 2015.
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Highlighted the potential of ‘falling through the net’ associated with new NICE glucose thresholds.
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Contextualised the risks by relating this to local contemporary prevalence of GDM
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Aim To predict the local impact of converting to NICE glucose thresholds for diagnosis of GDM. To ascertain the contemporary probability of ‘falling through the net’ in south west Essex.
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Method A large retrospective study of 2722, 75g antenatal GTT results. All OGTTs were performed between 2014 and 2015.
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189 women (38.2%) would have fallen through the net
Results: n = 2722 Incidence of GDM IADPSG 2010 495 (18.2%) NICE 2015 306 (11.2%) 189 women (38.2%) would have fallen through the net
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Relationship between NICE status and clinical outcomes in 135 IADPSG positive women
Frequency (%) Medication (%) Macrosomia (%) NICE –ve 74 (54.8%) 11 (14.9%) 7 (9.5%) NICE +ve 61 (45.2%) 16 (26.2%) 8 (13.1%) NICE –ve had lower medication and macrosomia (>4kg) rate of 14.9% (11/74)
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Conclusion Prospective application of IADPSG has normalised macrosomia rate. Converting to NICE would result in almost 40% of our current case load being left untreated (regressively facing a 30% macrosomia risk). In relation to the current national drive to reduce the burden of stillbirths due to missed opportunities in detecting gestational diabetes (MBRRACE-UK), this would count as a retrograde step Adjunctive application of NICE thresholds to IADPSG positive OGTT results may be of predictive value in identifying ‘milder’ gestational diabetics.
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