Schizophrenias Group - University of Cambridge

Emilio Fernandez-Egea

This is a podcast AI-generated with NotebookLM of our research publications. The content has been verified and approved before upload.

  1. 3 Sept

    Preventing Death in Clozapine-Treated Patients: 17 Years of Evidence

    Clozapine is the only antipsychotic shown to reduce overall mortality and suicide in schizophrenia — and yet it carries the heaviest monitoring burden in psychiatry, built almost entirely around a single rare complication. This episode asks a more useful question: when people treated with clozapine die, what do they actually die of, and how much of it could we have prevented? The discussion follows a 17-year retrospective cohort study of every clozapine-treated patient who died under Cambridgeshire and Peterborough NHS Foundation Trust between 2009 and 2025 — 87 deaths across a catchment of roughly one million people and a treated population of around 410 at any one time. Each death was reviewed individually and assigned to one of three predefined clusters: suicide, expected deaths from chronic or progressive medical illness, and non-intentional unexpected deaths. The distribution is the first surprise. Suicide accounted for 11 deaths (12.6%), an annual rate of about 0.15% — at the low end of what is expected in treatment-resistant schizophrenia, consistent with clozapine's well-established protective effect. Expected deaths made up 29 cases (33.3%). The largest group, 47 deaths (54.0%), was non-intentional and unexpected: sudden cardiac or respiratory compromise, gastrointestinal obstruction, infection, metabolic disturbance, and a substantial number — 12 cases — where no definitive cause could be established even after post-mortem and detailed clinical review. By cause, malignancy led (21 of 87, 24.1%), predominantly solid tumours of the lung, breast, pancreas and oesophagus, several of them tobacco-related; only one death was attributable to a haematological malignancy. Cardiovascular disease followed (14.9%), then respiratory and infective causes including pneumonia (10.3%). Median duration of clozapine treatment at death was 14 years. The episode then turns to what distinguished those who died unexpectedly. Compared with a clozapine-treated comparison cohort alive in 2019, they were significantly older at the reference point (55.0 vs 48.6 years) and markedly more likely to smoke (75.0% vs 34.6%). Prescribed clozapine dose and high-dose exposure did not differ significantly — a finding that pushes the explanation away from pharmacology alone and towards accumulated physical and behavioural risk. Temporal patterns add a further layer. Mortality peaked in 2021 with 20 deaths, well after the first pandemic wave, and only four deaths across the whole cohort had COVID-19 documented as a direct or contributing cause. The excess is therefore hard to attribute to the virus itself, and more plausibly reflects disrupted physical health monitoring, reduced access to services and delayed help-seeking. Uptake of the annual primary care physical health check moved in parallel — between 16.7% and 29.0% before the pandemic, more variable and generally higher afterwards. The conversation closes on the clinical implication, which is deliberately awkward for current practice. If more than half of deaths are unexpected and driven by smoking, cardiometabolic disease, infection and gastrointestinal complications, then the mandatory haematological monitoring may be doing much of its work indirectly — as scaffolding for regular clinical contact, physical health review and early detection — rather than through the blood counts themselves. Any move to relax monitoring for stable patients, an idea gaining international traction, therefore needs to be paired with a deliberate redesign of clozapine services that preserves that contact, protects cardiometabolic and infectious disease surveillance, and takes smoking cessation seriously as a mortality intervention. A frank discussion of where the real risks lie in clozapine treatment — and why the monitoring we have may be right for the wrong reasons.

    Preventing Death in Clozapine-Treated Patients: 17 Years of Evidence
  2. 24 Jul

    What's in a Name? Rethinking "Negative Symptoms" in Schizophrenia

    Summary This episode unpacks a provocative question in psychiatry: has the term "negative symptoms" outlived its usefulness? Borrowing Juliet's line "what's in a name?", the discussion traces how the label travelled from 19th-century neurology — Reynolds coined it in 1857 for the "negation of vital properties" in epilepsy, and Jackson built it into his model of the nervous system — into psychiatry, where Snezhnevsky first applied it to schizophrenia in 1968 and Strauss, Carpenter and Bartko popularised it in 1974. The core argument is that the term, despite lasting roughly half a century, may now be doing more harm than good. Four problems are laid out. First, it is pejorative and stigmatising, clashing with the hope-focused "Recovery" model — so clinicians often avoid it, leaving these symptoms under-recorded, omitted from UK clustering tools like HONOS, and clinically neglected (around 70% of UK schizophrenia patients are seen only in primary care). Second, it is semantically out of step with the rest of medicine: neurology's concept of apathy maps closely onto the anhedonia, asociality and avolition seen in schizophrenia, and a shared transdiagnostic vocabulary would help research. Third, and most important, it lacks validity — it captures no neurobiological phenomenon and masks real structure. Factor analyses consistently point to at least two dimensions (diminished expression versus motivation-and-pleasure), with growing evidence that these factors, and even individual symptoms, have distinct neurobiology and effects on functioning — an insight already hinted at in Kraepelin's opening pages. The takeaway is a call to embrace complexity rather than collapse it. Treating "negative symptoms" as a single reductionist score has stalled drug discovery and clinical progress (the failed Bitopertin programme is cited as an example). Future trials and cognitive-neuroscience tools should target specific factors such as motivation, or individual symptoms such as anhedonia, opening the door to a more precise, trans-nosological approach to a long-neglected dimension of schizophrenia.

    What's in a Name? Rethinking "Negative Symptoms" in Schizophrenia
  3. 10 Jul

    Why Psychiatrists Struggle to Measure Apathy?

    Apathy and diminished motivation are among the most disabling — and most overlooked — features of schizophrenia and many other neuropsychiatric disorders. They strongly predict long-term outcomes, yet there is still no agreement on how to measure them. Different fields use different tools, different definitions, and even different ideas of what "apathy" really is. This episode unpacks a multicenter European study of 151 people with schizophrenia that put four widely used scales side by side: two designed specifically for schizophrenia (the BNSS and PANSS, both rated by clinicians) and two transdiagnostic apathy tools (the patient-rated Apathy-Motivation Index, or AMI, and the clinician-rated Diagnostic Criteria for Apathy, or DCA). The surprising finding: these scales overlap far less than you'd expect. The patient-rated AMI showed only weak agreement with the clinician-rated schizophrenia measures and — strikingly — did not track with patients' real-world functioning at all, whereas the clinician-rated tools did. In other words, how patients rate their own motivation and how clinicians rate it can tell two quite different stories. We discuss what drives this gap — insight, self-awareness, the difference between feeling unmotivated and behaving in unmotivated ways — and why the answer isn't to crown one scale the winner. The study argues that combining patient-rated and clinician-rated measures gives a fuller, more honest picture of apathy than either can alone. For researchers chasing transdiagnostic biomarkers and for clinicians trying to track whether treatment is actually working, that distinction matters. A conversation about the messy, fascinating problem of measuring something everyone recognizes but no two instruments define the same way.

    Why Psychiatrists Struggle to Measure Apathy?

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This is a podcast AI-generated with NotebookLM of our research publications. The content has been verified and approved before upload.