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Heart attacks and strokes are among the leading causes of death globally, with millions suffering from cardiovascular diseases (CVD) every year. There are more than seven million people in the UK alone, with about 100,000 patients experiencing heart attacks annually. However, a group of researchers at University College London (UCL) estimate that one 'polypill' taken daily day could eliminate a majority of these cases dramatically lowering death tolls.
The proposed polypill, a combination of a statin and three blood pressure-lowering drugs, has been under study for over two decades. Experts argue that introducing this pill universally for individuals aged 50 and above could be more effective than the current NHS Health Check, which assesses risk factors every five years for those aged between 40 and 74.
Studies have repeatedly proven the effectiveness of the polypill in preventing CVD. A groundbreaking 2019 study in The Lancet found that five years' use of the polypill cut the risk of heart attack and stroke by a third. In addition, previous modelling analyses have estimated that if given universally to people over 55, the polypill might be able to prevent 80% of heart attacks and strokes.
Today, the NHS Health Check follows a risk-based model in which patients are tested for CVD risk factors and treated with drugs accordingly. Yet, as per UCL's study, this system has serious flaws:
Low Uptake: Just 40% of those eligible for the NHS Health Check choose to have it, leaving a considerable number of at-risk patients undiagnosed and untreated.
Ineffective Prediction of Risk: The majority of heart attacks and strokes happen to people at average risk levels, thus making it challenging to identify the need for intervention effectively.
Limited Effectiveness: Even at maximum take-up, the NHS Health Check programme is predicted to have fewer health impacts compared to a polypill initiative applied to the whole population.
One of the big benefits of the polypill is that it is so easy. In contrast to the existing screening-based model, the polypill scheme would not involve complicated medical tests or lengthy risk assessments. Instead, people reaching 50 would just have to fill out a few questions to determine possible side effects before they were prescribed.
Professor Aroon Hingorani of the UCL Institute of Cardiovascular Science, one of the strongest proponents of this scheme, says:
"Finally, the time is now to do much better on prevention. A population approach would prevent a lot more heart attacks and strokes than is done today with a strategy of trying to target a smaller group only."
Aside from the possible health implications, the polypill is also an economic solution. The drugs used are off-patent, thus cheap to produce and distribute. With the vast economic cost of managing CVD-related illnesses, a preventive model could result in substantial cost-saving for the NHS in the future.
The polypill has been proven to be effective by numerous international trials. In 2019, a randomised trial in rural Iran discovered that participants who took the polypill for five years had a 34% reduced risk of having a heart attack or stroke compared to non-participants.
Likewise, modelling research has indicated that even if only 8% of people aged over 50 took up the polypill regimen, it would still be more beneficial to their health than the NHS Health Check programme.
One of the main objections to the polypill strategy is the suggestion that it might result in the unnecessary medicalisation of a significant proportion of the population. But, it is argued, it should be considered as a preventative measure, not as mass medication.
Professor Sir Nicholas Wald of UCL's Institute of Health Informatics explains:
"Instead of being a 'medicalisation' of a significant proportion of the population, a polypill programme is a prevention measure to prevent an individual from becoming a patient."
He compares it with public health measures like water fluoridation or compulsory seatbelts—interventions that have been shown to have a significant impact in reducing public health danger at low individual cost.
With the evidence in favour of the polypill's effectiveness and viability overwhelming, experts are calling on the NHS to act now. It is their belief that substituting the NHS Health Check with a polypill-based prevention program could be the UK government's flagship policy under its pledge to put disease prevention ahead of cure.
As Professor Hingorani points out, "The status quo is not a justifiable option." With CVD still a major cause of death globally, taking a population-wide polypill approach could be a turning point for preventative medicine, potentially saving thousands of lives annually. The question now is whether the NHS will take up this call and establish a policy with the potential to transform the prevention of cardiovascular disease on a national level.
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Regaining weight is one of common effects of stopping GLP-1 treatment for obesity. But apart from this, users have reported unusual side effects like hair fall, vision loss and even psychiatric symptoms.
According to two case reports published in the Primary Care Companion for CNS Disorders, stopping GLP-1 weight-loss drugs may ensue serious psychiatric symptoms in some patients like hallucinations, paranoia, mania and severe depression.
The reports describe two men who developed acute psychiatric symptoms after abruptly discontinuing tirzepatide, sold under the brand names Mounjaro and Zepbound. Both patients needed hospitalisation and psychiatric treatment.
The latest findings raise questions about the possible psychiatric effects of stopping GLP-1 medicines on the brain.
What Happened To The Two Patients?
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The first case involved a 61-year-old man with a history of depression who stopped taking tirzepatide in August 2025 because of nausea.
Around two months later, he was hospitalised with worsening confusion and erratic behaviour. He experienced paranoia, auditory and visual hallucinations, and Cotard's delusion, a rare condition in which a person believes they are dead or no longer exist.
Medical investigations, including brain imaging, an electroencephalogram and tests of cerebrospinal fluid, did not identify a clear explanation for his symptoms. He received antipsychotic medication along with his existing antidepressant treatment.
Although his psychotic symptoms initially improved, he was readmitted weeks later with severe depression and catatonic features, a condition involving symptoms like reduced movement, unresponsiveness and difficulty communicating. He subsequently required electroconvulsive therapy.
The second case involved a 52-year-old man with a history of anxiety who abruptly stopped tirzepatide in September 2025 after losing approximately 100 pounds (45 kg) over six months.
About a month later, he developed significant mood and behavioural changes, including irritability, impulsivity, grandiosity and rapid, disorganised speech. Doctors diagnosed a manic episode. He was treated with an antipsychotic and transferred for psychiatric care.
Can Stopping GLP-1 Drugs Affect Mental Health?
Also read: Stopping Ozempic or Wegovy May Double Your Risk Of Heart Attack, Death
GLP-1 receptors are found not only in the digestive system but also in the brain, including regions involved in appetite, reward processing and mood regulation.
GLP-1 medicines influence these regions, which may partly explain why researchers are investigating their effects on mental health.
The authors of the case reports suggest that abruptly stopping the medication could contribute to sudden changes in mood or behaviour in certain vulnerable individuals. They also point towards dopamine signalling and neuroinflammatory processes.
However, researchers could not establish that withdrawal from tirzepatide was responsible for the psychiatric symptoms.
Both patients had pre-existing mental health conditions, which may have contributed to their symptoms. The second patient also had low vitamin B12 levels and increased marijuana use before developing symptoms.
The authors described the psychiatric symptoms after discontinuation of medication as “an underrecognized clinical phenomenon” and called for further research.
GLP-1 Drugs & Psychiatric Symptoms
The case reports do not mean that GLP-1 medicines cause psychosis, mania or other psychiatric disorders when stopped.
In January 2026, the US Food and Drug Administration (FDA) said its review of 91 clinical trials involving more than 107,000 participants found no increased risk of suicidal thoughts or behaviour with GLP-1 medicines.
It also found no increased risk of other psychiatric adverse events, including anxiety, depression, irritability and psychosis, compared to placebo.
However, that assessment primarily examined risks associated with taking the medicines. It does not settle the question of whether abrupt discontinuation could be linked with psychiatric symptoms in a small, vulnerable group.
The findings, however, indicate that patients should not stop GLP-1 treatment without discussing it with their healthcare provider. People may discontinue these medicines because of side effects, cost, access problems or other reasons, but a clinician can help change treatment plans.
Anyone experiencing new symptoms like confusion, hallucinations, extreme mood changes, paranoia or unusual behaviour after stopping a GLP-1 medication should seek urgent medical intervention.
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A new blood test may help identify microscopic precancerous changes linked to ovarian cancer before a tumour develops, according to a study published in Nature Medicine. Researchers found that the test could detect a molecular signal associated with an early precursor of high-grade serous ovarian cancer, one of the most common and aggressive forms of the disease.
The study, led by researchers at the Hoag Family Cancer Institute in California, identified elevated levels of an RNA molecule called Tu-Stroma in blood samples from women with a condition known as serous tubal intraepithelial carcinoma (STIC).
The findings could eventually help identify women at increased risk of developing ovarian cancer, especially those with inherited genetic mutations.
What Is STIC And How Is It Linked To Ovarian Cancer?
High-grade serous ovarian cancer mostly originates in the fallopian tubes rather than directly in the ovaries. It may begin with microscopic changes in the cells lining the fallopian tubes, known as serous tubal intraepithelial carcinoma or STIC.
These lesions are precancerous, which means they are not invasive cancer but can lead to the development of high-grade serous ovarian cancer.
STIC is difficult to detect because the abnormal cells are microscopic and cannot be identified through routine imaging. They are often discovered incidentally when women undergo surgery to remove their fallopian tubes or ovaries.
How Does The New Blood Test Work?
The researchers found that women with STIC had elevated levels of Tu-Stroma, an RNA molecule related to interactions between abnormal cells and surrounding healthy tissue.
The molecule is linked to a process in which cancer cells weaken neighbouring healthy cells, creating an environment that allows abnormal cells to thrive.
By measuring Tu-Stroma in blood samples, researchers investigated whether this molecular signal could identify STIC before invasive cancer develops.
In a separate validation group, the test detected STIC in 92.3% of women who had the precancerous condition and correctly identified 98.2% of healthy women.
Researchers also modelled how the test might perform in a population of women with inherited risk factors for ovarian cancer. They estimated that approximately 72% of positive results would be accurate, while a negative result would be correct nearly 100% of the time.
Also read: Why Lobular Breast Cancer Can Be Difficult To Detect On A Mammogram?
Could The Test Help Women With BRCA1 And BRCA2 Mutations?
The findings may be relevant to women carrying inherited mutations in the BRCA1 and BRCA2 genes, which increase the risk of ovarian and breast cancers significantly.
Women with these mutations may be advised to consider surgery to remove of their fallopian tubes and ovaries. While this can reduce ovarian cancer risk, it also has consequences like including the loss of fertility and the possibility of early menopause.
Dr Esha Madan, co-author of the study and a researcher at Hoag Family Cancer Institute, said, “For women at high risk, this could transform how we approach prevention.”
She added, “Today, decisions about preventive surgery are largely guided by inherited risk, without knowing whether precancerous lesions are actually present. Our discovery could eventually provide that missing biological information.”
Can This Blood Test Be Used For Ovarian Cancer Screening?
The study analysed previously collected blood samples from women whose diagnoses were already known. It did not test the blood marker prospectively in a large population of women undergoing routine screening.
The test performed well in samples from people with confirmed conditions and may not achieve the same accuracy in the general population.
Researchers are now planning prospective studies involving women with and without inherited risk factors. These studies will assess whether Tu-Stroma can identify precancerous changes before they progress and whether the results can shape clinical decisions.
Dr Rajan Gogna, who led the research, said, “We asked a fundamentally different question: What if we could identify the earliest molecular warning signs before invasive cancer even develops?”
The discovery offers a new direction for ovarian cancer detection, shifting the focus from finding an existing tumour to identifying biological changes that may precede it.
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Long known to be a key risk factor for lungs and heart, a new study now shows that long-term exposure to air pollution and fine particulate matter (PM2.5) may increase the risk of developing type 2 diabetes by 16%.
A rise of 10 micrograms per cubic metre in PM2.5 concentration was associated with a 10% to 16% increase in diabetes risk.
The findings come amid rising pollution levels in Delhi, highlighting the potential metabolic health consequences of prolonged exposure to poor air quality.
Published in the Journal of Vascular Diseases, the analysis found that air pollution is not just a cardiopulmonary concern but also a potential contributor to metabolic health problems.
Also read: PM2.5 Levels 66x WHO Limit In Delhi: How Air Pollution Could Affect Children's Lung Development
The researchers analysed 13 major previous reviews, covering more than 200 million participant observations worldwide.
Reviews examining new diabetes cases consistently found an association between air pollution exposure and a higher risk of developing the disease.
The studies also reported higher diabetes prevalence, elevated blood sugar levels and an increased burden of related health complications.
The association was observed even among populations living in areas classified as having clean air. Since nearly everyone is exposed to outdoor air pollution, even relatively small increases in individual risk could translate into millions of additional diabetes cases worldwide.
South and East Asia are among the regions likely to face a particularly high burden.
Dr. Anoop Misra, Padma Shri, Executive Chairman and Director, Diabetes and Endocrinology, Fortis C-Doc Hospital for Diabetes and Allied Sciences, said air pollution should be recognised as a potential contributor to metabolic disorders, including diabetes, rather than viewed only as a respiratory and environmental concern.
“Air quality management must become a core part of diabetes prevention,” he said.
He also highlighted the growing public health burden in heavily polluted South Asian cities and stressed the need to integrate air quality management into diabetes prevention.
Yashendra Sethi, first author of the study, said India must focus on improving environmental conditions to protect metabolic health.
“If India wants to tackle both diabetes and pollution, we must improve metabolic health and clean up our environment. We cannot fight diabetes while ignoring the air we breathe,” Sethi said.
The researchers emphasised that diabetes prevention should be considered alongside heart and lung health when framing clean-air guidelines.
They recommended strengthening continuous air quality monitoring, tightening emissions standards and incorporating environmental factors into national healthcare policies.
Delhi's air quality slipped into the 'very poor' category on November 11, with the 24-hour average Air Quality Index (AQI) settling at 313. This came a day after stronger winds brought some relief, pushing the AQI into the 'poor' category.
According to the Air Quality Early Warning System (EWS) for Delhi, PM2.5 and PM10 concentrations are also expected to rise over the next two days.
Of the 58 monitoring stations that recorded data on Wednesday, one reported 'severe' air quality, 34 were in the 'very poor' category, 22 in the 'poor' category and one in the 'moderate' category.
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