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AI identifies women at high risk of breast cancer

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AI technology can identify 42 per cent of breast cancers that develop between routine mammograms by flagging women at highest risk, researchers have found.

The study analysed 134,217 screening mammograms using a deep learning model known as Mirai, which estimates breast cancer risk from imaging data, tumour features and breast density.

Researchers from the University of Cambridge and Addenbrooke’s Hospital tested the tool on UK screening data collected between 2014 and 2016.

They identified 524 “interval cancers” — cases diagnosed between regular screening appointments.

The algorithm’s risk scores predicted 42.4 per cent of these interval cancers among women ranked in the highest 20 per cent for risk, equating to an additional detection rate of 1.7 cancers per 1,000 women screened.

Interval cancers tend to be more advanced when diagnosed, often larger or more aggressive than cancers found during routine screenings.

Co-author Fiona J. Gilbert is professor of radiology at the University of Cambridge and honorary consultant radiologist at Addenbrooke’s Hospital.

Gilbert said: “Interval cancers generally have a worse prognosis compared with screen-detected cancers because they tend to be either larger or more aggressive.

“That’s why it’s important to minimise the number of interval cancers that you have in any screening programme.”

The tool was most accurate for cancers developing within a year of screening, performing less well for those emerging after 12 to 36 months.

It was also less effective for women with extremely dense breast tissue — tissue with more glands and fibrous material than fat — which can make tumours harder to detect.

However, Mirai still outperformed conventional risk assessment tools.

Lead researcher Joshua W. D. Rothwell, an M.B.B.S./Ph.D. student at the University of Cambridge, said the findings could help identify women who need closer monitoring or additional imaging.

Rothwell said: “Our results suggest that further workup of mammograms within the top 20 per cent of scores could yield 42.4 per cent of interval cancers, meaning that Mirai could be used to identify women for supplemental imaging or a shortened screening interval.

In the UK, around 2.2 million women undergo breast screening each year through the triennial programme, which invites women for mammograms every three years.

The technology could refine this process by identifying those who would benefit from extra imaging such as MRI or contrast-enhanced mammography — an X-ray technique that uses dye to highlight areas of concern.

Gilbert said: “If we called back 20 per cent of women for supplemental imaging, we’d have to find the capacity to offer contrast-enhanced mammography or MRI to 440,000 women.

“Personalised breast cancer screening depends on accurately assessing an individual’s risk of developing breast cancer within a specific timeframe.

“We can use supplemental imaging and adjust screening frequency based on a woman’s breast density and likelihood of developing breast cancer within a short timeframe.”

Next steps include comparing commercially available predictive tools, conducting cost-effectiveness studies and running trials to identify which women would benefit most from additional imaging.

“Identifying women at increased risk of developing breast cancer is a complex, multifactorial problem,” Dr Gilbert said.

“The goal is to accurately identify the women most likely to have an interval cancer while minimising the amount of additional imaging required.”

Wellness

Expectations about sleep affect postpartum sleep quality, study finds

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Pregnant women’s expectations about postpartum sleep may predict sleep quality after birth, outweighing prior sleep and psychiatric history, a study suggests.

The findings suggest attitudes and beliefs about sleep during pregnancy could be a modifiable risk factor for postpartum sleep concerns.

They also indicate that, among women expecting the poorest sleep, higher postpartum anxiety may further worsen sleep quality.

Sammy Dhaliwal, lead author is clinical health psychologist and research fellow in the department of obstetrics and gynaecology at the Perelman School of Medicine at the University of Pennsylvania.

Dhaliwal said: “Most pregnant women in our sample anticipated poor postpartum sleep before it occurred, and it was striking that those expectations predicted worse sleep outcomes even after accounting for factors such as prior sleep disorders, psychiatric history, and number of previous births.

“This suggests that attitudes and beliefs about sleep during pregnancy may represent a modifiable target for early intervention before postpartum sleep problems emerge.”

Sleep disturbance affects an estimated 60 to 80 per cent of postpartum women and is linked to a higher risk of depression and anxiety.

Researchers said it is often regarded as an expected part of life after childbirth rather than a health issue that may be addressed earlier.

The study enrolled 432 pregnant women at about 24 weeks of gestation, meaning around 24 weeks into pregnancy.

Participants completed measures of their expectations about postpartum sleep, current sleep quality using the Pittsburgh Sleep Quality Index, and mood using validated depression and anxiety scales.

Assessments were repeated at six, 12 and 24 weeks postpartum.

A subset of 49 women also wore wrist actigraphy devices at six to eight weeks postpartum.

Actigraphy uses a wearable device, similar to a watch, to estimate sleep and wake patterns based on movement.

The results showed that 70 per cent of pregnant women, or 301 of 432 participants, expected poor sleep in the postpartum period.

Researchers found that predicted sleep disruption during pregnancy was a significant predictor of postpartum sleep concerns.

Among first-time pregnant women without prior health concerns, those who expected greater sleep disturbance had significantly more disrupted sleep after birth, measured by both actigraphy and self-report.

Among women who expected the worst sleep quality, higher postpartum anxiety significantly worsened both measured sleep and self-reported sleep, independent of anxiety levels during pregnancy.

Dhaliwal said the findings point to two possible areas for intervention: addressing sleep-related beliefs during pregnancy and treating postpartum anxiety.

Dhaliwal said: “Postpartum sleep disruption is often treated only after problems develop, but our findings suggest there may be an opportunity to intervene earlier during pregnancy.

“Addressing sleep-related beliefs and postpartum anxiety during prenatal and postpartum care may help improve sleep and emotional well-being in new mothers.”

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Mental health

Pilates may improve heart and metabolic health in sedentary women, study finds

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A four-week Pilates programme may improve heart, metabolic and stress measures in previously sedentary women, a small study suggests.

Pilates is a mind-body form of exercise that has been linked to better fitness, balance, posture, muscular endurance, mental wellbeing and quality of life in different groups.

Built around breathing, concentration, control, precision, centring and flow, Pilates is already used in physiotherapy, rehabilitation and preventive health. The new study looked at whether a structured four-week programme could affect cardiovascular, metabolic, body and stress-related measures in sedentary adult women.

The longitudinal study included 30 sedentary women split into two age groups, 30 to 40 and 50 to 60.

All participants completed a standardised, supervised Pilates programme lasting four weeks, with three sessions a week lasting 50 to 60 minutes.

Researchers measured resting heart rate, systolic and diastolic blood pressure, body mass index, abdominal circumference, fasting blood glucose and serum cortisol at the start and end of the programme.

Systolic and diastolic blood pressure are the top and bottom readings in a blood pressure test. Cortisol is a hormone linked to the body’s stress response.

The four-week Pilates programme was linked to improvements in cardiovascular, metabolic, body and neuroendocrine measures, although not every change reached statistical significance within each age group.

In the younger group, significant reductions were seen in heart rate, blood pressure, body mass index and fasting blood glucose after the intervention.

The reduction in blood pressure after the programme was significantly greater in the older group than in the younger group.

Older participants also showed a greater reduction in glucose and cortisol levels after the intervention than younger participants.

Analysis also found significant links between cardiovascular, metabolic and neuroendocrine changes.

In the younger group, this was particularly seen between heart rate and blood pressure responses.

In the older group, it was particularly seen between changes in body mass index and fasting glucose.

The findings suggest Pilates could be a useful multidimensional exercise approach for cardiometabolic health and stress regulation in previously sedentary women.

The researchers said the larger reduction in blood pressure seen in the older group may reflect a higher cardiometabolic burden at the start, leaving more room for improvement after the programme.

The greater reduction in fasting glucose and cortisol in older participants may similarly suggest that people with higher baseline metabolic and neuroendocrine dysfunction could benefit more from structured exercise such as Pilates.

Although Pilates is known to improve body composition through energy use, neuromuscular activation and support for healthier habits, the researchers said the fall in body mass index over four weeks is unlikely to be explained by Pilates alone.

They noted that participants were also told to avoid alcohol, sugar-containing products and sugar-sweetened drinks during the intervention, which may have contributed to the change.

In the younger group, the link between heart rate and blood pressure suggested coordinated cardiovascular responses after Pilates.

The researchers also found that cortisol appeared to be linked to blood pressure and body mass index, suggesting stress-related changes may be tied to cardiovascular and body regulation after the intervention.

In the older group, the link between body mass index and fasting glucose highlighted the relationship between body fat and metabolic regulation.

A positive link between blood pressure and body mass index in this group also suggested that improvements in vascular regulation may be associated with reductions in body mass.

Overall, the findings suggest Pilates-related physiological changes may involve interconnected cardiovascular, body, metabolic and neuroendocrine mechanisms, with different response patterns by age.

The study has important limits. It did not include a non-exercise control group, so it cannot prove Pilates directly caused the changes.

The sample size was also small, which limits how far the findings can be applied more widely.

The authors also noted that cortisol was measured using a single fasting morning sample, which limits conclusions about broader hypothalamic-pituitary-adrenal axis regulation, the system involved in the body’s stress response.

They said larger studies with longer follow-up will be needed to confirm whether Pilates causes these physiological changes over time.

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Diagnosis

Being female not a universal stroke risk factor for patients with AF, study finds

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Female sex may not raise stroke risk across all atrial fibrillation (AF) patients, with higher risk mainly seen in women aged 75 and older, a study suggests.

Researchers said stroke prevention for women with the condition should be more personalised, especially for patients under 75.

Dr Amitabh C Pandey, director of cardiovascular translational research at Tulane University School of Medicine, said: “For years, female sex has been included as a risk factor along with other factors such as high blood pressure and diabetes, meaning women were more likely to be prescribed anticoagulants.

“Our study shows younger women may not have as much added stroke risk as previously thought, while older women, particularly those over 75, appear to have a higher risk that deserves close attention.”

The new Tulane University study challenges a long-standing assumption in heart care that being female automatically increases stroke risk for patients with atrial fibrillation.

Atrial fibrillation, often called AF, is a common heart rhythm disorder that causes the heart to beat irregularly.

It is associated with a higher risk of stroke and is often treated with anticoagulants, also known as blood thinners.

The study found that stroke risk did not increase equally across all female patients with AF.

Instead, researchers said being female may act more as a risk modifier, with increased stroke risk seen primarily among women aged 75 and older or those with a greater burden of other health conditions.

Clinicians often use a scoring system to decide whether people with AF should be prescribed blood thinners.

The system gives points for factors including age, heart failure, diabetes, previous stroke, vascular disease and high blood pressure.

Women also receive one point for sex alone.

Researchers said this can mean women with AF become eligible for blood thinners earlier or more often than men with otherwise similar risk profiles.

While blood thinners can help prevent clot-related strokes, they can also increase the risk of bruising, prolonged bleeding, gastrointestinal bleeding and other serious complications.

The researchers analysed approximately 950,000 patients with AF using TriNetX, a large anonymised electronic health record database.

They compared stroke outcomes between male and female patients across three age groups: younger than 65, 65 to 74, and 75 and older.

Male and female patients were matched based on age, other health problems and whether they had been prescribed anticoagulation medicine.

Among patients younger than 75, the study found no significant difference in one-year stroke risk between men and women.

However, among patients aged 75 and older, women had a modest but statistically significant increase in stroke risk compared with men.

In patients aged 75 and older with no additional risk factors beyond age, women had about one additional stroke per 629 patients compared with their male counterparts.

The findings support growing interest in a newer AF risk score, known as CHA2DS2-VA, which removes sex as a standalone risk factor.

However, researchers said more studies are needed and medical guidance remains inconsistent.

Han Feng, assistant professor at Tulane University School of Medicine, said: “This general approach came from women being underrepresented in AFib trials and studies comprising only about one-third of study populations.

“Our study shows not all women with AFib have the same risk profile, and these decisions should be individualised.

Pandey said: “These findings highlight the need for modern tools and approaches that can personalise risk profiles to individuals.

“The goal is not to undertreat patients who need stroke prevention, but to better identify who is most likely to benefit from anticoagulation and who may be exposed to unnecessary risk.”

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