Hidden driver of mortality. A new study makes an uncomfortable point very clear. Respiratory viruses are probably involved in far more deaths than we usually recognize in day-to-day clinical practice or in official cause-of-death statistics🧵
Across 4 influenza seasons, a respiratory virus was found post mortem in 36.4% of deceased people. Influenza alone was present in 11.0%. It was not just flu either - rhinoviruses, common human coronaviruses, and RSV were also frequent.
The most striking part is how much was missed before death. Among people with influenza detected post mortem, only 17% had been diagnosed with influenza while alive.
That matters because what gets recorded as cardiac death, respiratory failure, or general decline may, in many cases, have had a hidden viral trigger helping push a frail patient over the edge.
The study does not claim every virus detected was the direct cause of death - but it strongly suggests we are overlooking a major part of the story.
These viruses are not harmless background noise. They can worsen an already fragile situation, destabilize chronic illness, and become part of fatal outcomes even when they never make it into the headline diagnosis.
The signal was especially strong in long-term care facilities, where any respiratory virus was found in 52.3% of deceased residents!
That is exactly where transmission is easier, patients are more vulnerable, and missed infections can carry the heaviest consequences.
So ignoring such a high prevalence would be a mistake. These infections are being underdiagnosed in life and undercounted in death.
The practical takeaway is simple.
Test more, think of viral etiologies more often, and stop assuming that if a patient looks cardiac, pulmonary, or just frail, infection is no longer central to what is happening.
And this study comes from the pre-COVID era. Since then, SARS-CoV-2 arrived. More severe, poorly tested, devastating in care homes, and far too often met with delayed, limited, or badly implemented antiviral access.
If we were already underestimating how flu and other respiratory viruses contribute to fatal decline, COVID only made that blind spot bigger. We need better testing, earlier recognition, and much better treatment access for the people at highest risk.
Trobajo-Sanmartín at al., Prevalence of influenza and other respiratory viral infections in deceased persons: a population-based observational study over four influenza seasons. clinicalmicrobiologyandinfection.org/article/S1198-…
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New study out of Amsterdam UMC asks a question most Long COVID imaging papers don’t tackle at once - does inflammation in the brain actually track with how well different brain regions talk to each other? 45 people, roughly 27 months post-infection!🧵
TSPO PET is a scan that lights up wherever immune cells in the brain (microglia) are activated - basically a map of where inflammation is happening. This version is fully quantitative, with blood sampling during the scan, not a shortcut estimate.
The second scan, resting-state fMRI, measures which brain regions sync up while someone just lies there doing nothing.
Severe COVID at least temporarily (years) weakens the part of the immune system that keeps dormant and opportunistic pathogens in check. 3.6 mio dataset from Chile shows this on a textbook example - tuberculosis🧵
People hospitalized with COVID had more than an eightfold higher risk of TB flaring up over the following year.
That watch has a name - cell-mediated immunity. Dormant TB is kept walled off in a tiny lesion (granuloma) by a team of T cells, IFN-γ (inflammatory signaling molecule), macrophages.
COVID ages the brain. But we keep hitting the same wall - how do you prove it when the brain changes over years and we only have data spanning months?
A new study tried to get around that wall through a completely different door. Genetics.🧵
The logic is clever. Everyone gets their genes shuffled at random at conception - and some of that shuffle makes people more prone to severe COVID.
Nobody chose that susceptibility. It was dealt randomly, for life, long before any illness. That’s what makes it almost an experiment - one that isn’t tangled up by lifestyle or by the usual which came first problem.
If you wear a Fitbit or a smartwatch, you may have noticed your HRV drop and your resting heart rate climb after COVID. Data from 1,475 people in the RECOVER cohort now confirm that pattern objectively - from passively collected sensor data🧵
The study took passive wearable data from 1,475 people a median of ~21 months (!) after infection and matched it against a symptom questionnaire. The differences between groups are small but statistically solid.
What the wearable actually measures?
HRV = the variation in the gaps between beats - higher usually means a more flexible autonomic nervous system.
Resting heart rate = how fast your heart beats at rest. Both track with cardiac health at the population level.
Researchers built a mouse with a human immune system to finally watch how human defenses fight COVID. They expected the virus to get wiped out. Instead, the human immune cells helped it spread from the lungs into other organs and muffled the body's own early alarm system🧵
Older COVID mouse models had two problems. The virus's entry lock - the ACE2 - was cranked up to artificial levels, so the mice died of things we don't see in people. And their human T cells developed badly and attacked the mouse's own body.
This mouse fixes both. Human ACE2 sits at natural levels, in the same tissues as in people. And the human T cells mature in a transplanted human thymus so they behave normally. The key study trick - some mice have a human immune system with T cells, some without. That lets you measure exactly what the T cells do.
New study in Journal of Sleep Research links long COVID to a higher burden of prodromal Parkinson's like features. 11,261 people, 16 countries.
The headline is weaker than it looks - but there is the one finding in this paper that should genuinely scare you, and almost nobody is quoting it 🧵
The main finding is mostly circular. The prodromal PD score is built from cognitive impairment, fatigue, depression, dysautonomia, anosmia, constipation. Those are long COVID. They renamed the long COVID symptom cluster prodromal PD and found long COVID predicts it.
Cognitive impairment carries OR 7.0 in their model. That's not a Parkinson's. That's brain fog wearing a different name tag.
Drop the six overlapping items and the effect barely moves aOR 1.73 - 1.66 because the overlap runs deeper than six items.