Diagnosis
World-first at-home test delivers more accurate gestational diabetes diagnoses

Standard NHS procedures for processing gestational diabetes blood sugar tests lead to more than 50 per cent of cases being missed, shows research, which could lead to serious complications for mothers.
Such complications include the development of preeclampsia, and for the baby an increased risk of admission to the Neonatal Intensive Care Unit for breathing difficulties, low blood sugar and in some severe cases, a risk of major complications including stillbirth and death.
These risks can be reduced with timely diagnosis and intervention during the pregnancy. The study found that processing the blood sugar test of mothers at risk of gestational diabetes more quickly could lead to more accurate diagnosis of this serious condition.
Now, a new world-first at-home oral glucose tolerance test (OGTT) analyses the blood sugar tests immediately, with results instantly shared with the requesting antenatal care team for diagnosis and clinical review.

This overcomes the problems with sample processing and delayed testing carried out in hospital or community-based. The GTT@home test is already being successfully used by NHS trusts.
Using standard NHS sample processing procedures, 9 per cent of women in the study were diagnosed with gestational diabetes. The researchers found that when blood was processed more quickly, 22 per cent of women in the study were found to have gestational diabetes, a difference of 13 per cent. Without faster sample processing, more than half the women found to have gestational diabetes would have gone undiagnosed.
Professor of chemical pathology and diabetes in pregnancy, Claire Meek, said: “Gestational diabetes, which affects women in pregnancy, is very common in the UK and causes complications at the time of birth, affecting both mother and child.
“Fortunately, most complications can be prevented by accurate diagnosis and access to treatment. However, if the diagnosis is not accurate, then affected mothers cannot access the treatment they need.”
The Digostics GTT@home test not only avoids the false negative results issues identified in Professor Meek’s study but is also more convenient and accessible as the patient doesn’t have travel, especially as the test must be carried out first thing in the morning.
Travelling to take the test means patients must arrange childcare, take time off work, or manage transportation, and studies have shown that women from socio-economically deprived groups, black ethnicity, or with mental health issues are less likely to attend or complete OGTT appointments.
With at-home testing women who may have struggled to attend clinic-based tests can take the test when convenient for them.
James Jackson, founder and CEO of Digostics, said: “Professor Meek’s research definitively shows that in the UK’s standard OGTT testing is failing to diagnose more than 50 per cent of women who have gestational diabetes during pregnancy.
“Without a diagnosis, the risks of gestational diabetes cannot be mitigated and mothers and babies are being left at risk of serious, lifelong, and life-threatening health complications.
“The at-home OGTT we have developed avoids the sample processing delays identified in professor Meek’s research, and we’re identifying a higher rate of gestational diabetes than in-clinic OGTTs. Patients find the test easy to use and we’re extending access to screening to women from underserved patient groups frequently marginalised by in-clinic OGTT provision.
“The GTT@home test is in use across a number of NHS Trusts in England, and we are in discussions with many more to make this important new technology available to more expectant mothers who are at risk of gestational diabetes.”
Menopause
Menopause frequently missing from electronic health records – study

Menopause is often absent from women’s electronic health records, a study of nearly 396,000 women has found.
Researchers found menopause appeared almost seven times more often in participant surveys than in electronic health records (EHRs).
The findings suggest important reproductive health information, including age at menopause, may often be missing from health records used for research.
Audrey Hendricks, associate professor of bioinformatics at CU Anschutz and the study’s principal investigator, said: “Ultimately, we cannot study what we do not measure. We cannot treat what we do not know.
“Menopause has enormous implications for women’s health, but if we don’t consistently capture when menopause occurs and other important reproductive health information, we limit our ability to understand how this transition affects disease risk and health outcomes.”
Researchers at the University of Colorado Anschutz analysed data from women taking part in the National Institutes of Health’s All of Us Research Program.
They compared menopause information reported by participants in surveys with menopause diagnoses recorded in their electronic health records.
Around 193,000 menopause observations were identified in survey data, compared with approximately 28,000 diagnoses in EHR data.
Menopause was documented in electronic health records for only about 7 per cent of women in the dataset.
Nearly all participants with a menopause diagnosis recorded in their EHR also reported menopause in survey data. However, substantially fewer women had menopause documented in their health records.
Other important information was also frequently unavailable, including age at menopause, which researchers may use when examining links between menopause and chronic disease risk.
Menopause is a physiological transition that can affect cardiometabolic health and many other aspects of women’s health.
Researchers said relatively little is known about how factors including the timing and type of menopause influence health outcomes across diverse populations.
Large-scale programmes such as All of Us combine participant surveys, electronic health records and genomic data, but menopause-related research depends on relevant reproductive health information being available.
Missing menopause information can make it harder to investigate how the transition relates to health and disease.
The findings may also help researchers using All of Us data define menopause-related study populations, design studies and estimate how many participants are needed.
Hendricks said: “We have an enormous opportunity to use large-scale datasets to understand women’s health across the menopause transition and to identify who may be at greater risk for disease.
“But we need to make sure that the information researchers need is actually being collected.
“We must do a better job of capturing women’s health information, including reproductive health and measures related to menopause.”
Researchers said more complete and consistent collection of menopause and reproductive health information could help future studies examine factors such as age at menopause and their relationship with disease risk and health outcomes.
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