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Andrew Admon

@ajadmon.bsky.social
727 followers 835 following 34 posts

Working toward safer and more effective care for acutely ill patients.

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Reposted by Andrew Admon
Jack Iwashyna @iwashyna.bsky.social · 20/08/2025
jamanetwork.com/journals/jam... This is a great explanation of emerging causal discovery techniques applied to biology, by the always readable @ajadmon.bsky.social and Erin Carlton
jamanetwork.com
Causal Discovery in Sepsis
Sepsis is acute organ failure resulting from a dysregulated host response to infection.1 Given the marked patient-level heterogeneity in sepsis onset, clinical course, and recovery, investigators have...
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Reposted by Andrew Admon
Jack Iwashyna @iwashyna.bsky.social · 09/06/2025
#NotEvenTrying New in @sccmcriticalcare.bsky.social Crit Care Med, @hauschildt.bsky.social + @ajadmon.bsky.social review 120 ML or AI studies predicting sepsis, sepsis-related outcomes or sepsis treatment in adult populations NONE reported formal fairness metrics pubmed.ncbi.nlm.nih.gov/40488579/
Abstract text:
Consideration of Sociodemographics in Machine Learning-Driven Sepsis Risk Prediction
OBJECTIVES: Use of machine learning (ML) and artificial intelligence (AI) in prediction of sepsis and related outcomes is growing. Guidelines call for explicit reporting of study data demographics and stratified performance analyses to assess potential sociodemographic bias. We assessed reporting of sociodemographic data and other considerations, such as use of stratified analyses or use of so-called “fairness metrics", among AI and ML models in sepsis.
DATA SOURCES: PubMed identified systematic and narrative reviews from which studies were extracted using PubMed and Google Scholar.
STUDY SELECTION: Studies were extracted from selected review articles published between January 1, 2023, and June 30, 2024, and related to sepsis, riskprediction, and ML; we extracted studies predicting sepsis, sepsis-related outcomes, or sepsis treatment in adult populations.
DATA EXTRACTION: Data were extracted by two reviewers using predefined forms, and included study type, outcome of interest, setting, dataset used, reporting of sample sociodemographics, inclusion of sociodemographics as predictors, stratification by sociodemographics or assessment of fairness metrics, and reporting a lack of sociodemographic considerations as a limitation.
DATA SYNTHESIS: Thirteen of 96 review studies (14%) met inclusion criteria: 6 systematic reviews and 7 narrative reviews. 120 of 170 studies (71%) extracted from these review articles were included in our review. 99 of 120 studies (83%) reported a measure of geography or where data was collected. Eighty (67%) reported sex/gender, 24 (20%) reported race/ethnicity, and 4 (3%) reported other sociodemographics. Only three stratified performance results (2%) by sociodemographics; none reported formal fairness metrics. Beyond a lack of geographic heterogeneity (39/120, 33%), few studies reported a lack of sociodemographic consideration as a limitation
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Brittany Baur @brittanybaur.bsky.social · 24/04/2025
Happy to see our perspective on postmarket surveillance of clinical models out in NEJM!! ai.nejm.org/doi/full/10....
ai.nejm.org
Challenges in the Postmarket Surveillance of Clinical Prediction Models
Predictive artificial intelligence (AI) models enhance clinical workflows with applications such as prognostication and decision support, yet suffer from postdeployment performance challenges due t...
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Andrew Admon @ajadmon.bsky.social · 25/12/2024
I’m disappointed that I never got a set of these when I left the house!
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Gabriel Bosslet @gbosslet.bsky.social · 16/12/2024
#PCCMSky Update We are now 2 starter packs deep! Repost so the noobs know who the cool kids are CCM only folks definitely welcome Reply if you are not on one and should be (need to see your creds in bio) go.bsky.app/2gcvXuy go.bsky.app/88wg6oG
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Başak Çoruh @basakcoruh.bsky.social · 17/12/2024
1/ Great advice for med students & residents on the DON’Ts for a personal statement: tinyurl.com/yjewsknc ❌ Don’t write >1 page ❌ Don’t write before you think ❌ Don’t write about a momentous clinical experience ❌ Don’t focus only on medical experiences ❌ Don’t explain the specialty
tinyurl.com
What NOT to Write in Your Personal Statement
Succeeding in residency takes grit, determination, compassion, and industrial doses of caffeine. For program directors, figuring out which applicants are most likely to navigate the transition from pe...
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Andrew Admon @ajadmon.bsky.social · 16/12/2024
I’ll preorder the coffee table book
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Andrew Admon @ajadmon.bsky.social · 16/12/2024
Maggie made a checklist for her birthday party (with some spelling help :-)). This is going to be an epic fifth birthday bash!
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Julia M. Rohrer @dingdingpeng.the100.ci · 13/12/2024
You know what’s the real disappointment here? We never went all the way. We never had a logit vs probit showdown.
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Andrew Admon @ajadmon.bsky.social · 14/12/2024
I tried to add to your total but was already following you!
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Ann Leckie @annleckie.com · 12/12/2024
Do not confuse "interesting thoughts about art" for ironclad instructions about how to make art.
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Andrew Admon @ajadmon.bsky.social · 11/12/2024
Wait until we tell them about the benefits of a third stent
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Reposted by Andrew Admon
Julia M. Rohrer @dingdingpeng.the100.ci · 11/12/2024
I think they turned it into a movie later, Regression Runner
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Andrew Admon @ajadmon.bsky.social · 11/12/2024
That’s also why I like target trial emulation- it helps identify study design decisions that would have been clearly weird or impossible in an RCT (“we’ll enroll people today and start them on treatment sometime in the past six months!”) but sometimes happen anyways in observational studies
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Andrew Admon @ajadmon.bsky.social · 11/12/2024
But also this :-)
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Andrew Admon @ajadmon.bsky.social · 11/12/2024
Love it, but more importantly strong choice of colors. I'd add a line between Asthma and death too, but the measured relationship is being distorted by the open path via the "Pneumonia and hospitalized" since they're conditioning on it
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Andrew Admon @ajadmon.bsky.social · 11/12/2024
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Andrew Admon @ajadmon.bsky.social · 11/12/2024
Conditioning on hospitalization for pneumonia induces a false (inverse) association between asthma and other severe risk factors/complications that get you admitted with pneumonia and makes it look like pneumonia patients do well.
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Andrew Admon @ajadmon.bsky.social · 11/12/2024
Their inclusion criteria included both pneumonia and hospitalization, so that's the 'selection node' or 'collider' (the box at the top). Asthma is one reason for hospitalization with pneumonia (e.g., it's a risk factor for poorer outcomes, so the ED might admit). Septic shock is another.
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Andrew Admon @ajadmon.bsky.social · 11/12/2024
Oooh, I’m going to use that with my 4 year old- “I need to see more efficacy data before I keep doing that”
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Andrew Admon @ajadmon.bsky.social · 09/12/2024
Orange chicken 😢
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ATS Blue Journal @atsblueeditor.bsky.social · 05/12/2024
📣 The AJRCCM invites you to submit your cutting-edge research in pulmonary and critical care medicine @atscommunity.bsky.social #medsky SUBMIT HERE: tinyurl.com/3hezurez
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Reposted by Andrew Admon
Jack Iwashyna @iwashyna.bsky.social · 06/12/2024
last night, Hallie Prescott had her NEJM review on sepsis released: www.nejm.org/doi/full/10.... Today I had the pleasure of giving some remarks on her installation as the Toews Family Legacy Professor at the University of Michigan
nejm.org
Sepsis and Septic Shock | NEJM
Sepsis is a life-threatening, heterogeneous disorder involving a dysregulated immune response to infection. Research to identify subtypes and targeted therapies for host dysregulation is ongoing.
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Andrew Admon @ajadmon.bsky.social · 04/12/2024
Figures with manually added references…
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American Thoracic Society (ATS) @atscommunity.bsky.social · 03/12/2024
Hello, Bluesky! We've finally started building out our starter pack for our ATS member community. If you're a current or former member, let us know and we will add you. go.bsky.app/GLzJtqT #medsky #lungsky #pedsky
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Andrew Admon @ajadmon.bsky.social · 01/12/2024
8-year-old Beau. He’s a good boy and loves his little brother.
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Andrew Admon @ajadmon.bsky.social · 01/12/2024
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Andrew Admon @ajadmon.bsky.social · 30/11/2024
We’d never let you anyways
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Andrew Admon @ajadmon.bsky.social · 30/11/2024
Who’s got it better than us?!
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Andrew Admon @ajadmon.bsky.social · 30/11/2024
No matter how this turns out, GO BLUE!!! I’m so proud of you guys.
media.tenor.com
a yellow and blue flag with the letter m on it and the words go blue
ALT: a yellow and blue flag with the letter m on it and the words go blue
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Andrew Admon @ajadmon.bsky.social · 30/11/2024
You’re as cool as the other side of the pillow
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Reposted by Andrew Admon
Gabriel Bosslet @gbosslet.bsky.social · 25/11/2024
I have been a big proponent of 15 minutes of writing per day- especially for busy clinical academicians as laid out in the book "How to write a lot" (a great and quick read) We suffer from the idea that we need chunks of time to write So with this 🧵 I will put my money where my mouth is 1/
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Andrew Admon @ajadmon.bsky.social · 28/11/2024
I haven’t been able to get @nealstephenson.bsky.social’s Anathem out of my head, and am already looking forward to re-reading. And if that isn’t enough, it has DAGs!
Cover for book “Anathem” by Neal Stephenson, featuring a person in a tunic walking out of a gate beneath an analemma.
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Andrew Admon @ajadmon.bsky.social · 27/11/2024
You're (still!) the best!
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Andrew Admon @ajadmon.bsky.social · 27/11/2024
Thanks for making this so easy!
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
Of course! I owed you for the number of times on rounds we learn from your posts! Re: the estimator in an IV analysis, the time-outcome relationship is a solid option with few assumptions. But It's not the only (or even most patient-relevant) estimator. More at doi.org/10.1136/bmj-2023-078093
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
In the meantime, thanks again for all of the great stuff you post online and now here. It's done a lot to move all of our care forward.
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
More broadly, I share your healthy skepticism of observational comparative effectiveness studies and would love a well-powered RCT with extended follow-up and good separation between the anaerobe-depleting and anaerobe-preserving abx.
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
0.5% absolute increased mortality. If that was the right analysis all along, I think that's still clinically meaningful given the numbers of people treated, absent a specific indication to go with zosyn over cefepime (e.g., concern for intrabdominal infection).
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
Extra: Other criticism describes possible of collider stratification b/c we adj for flagyl. This is reasonable! But, we made this choice because our target comparison was anti-anaerobe vs anaerobe-perserving abx. Reassuringly, the same analysis w/o flagyl was in the same direction, but smaller w/...
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
5. Inconsistent with Cochrane: It'd be good to dive into each of the RCTs directly, but at first glance of the cefepime vs. pip-tazo studies, those confidence intervals look a little wide to draw any clear conclusions.
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
4. Inconsistent with ACORN: ACORN was an important study but a lot of people in the "cefepime" arm got a dose of either flagyl (47%) or zosyn (19%). And so if the effect is due to anaerobe depletion, it didn't really look at that.
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
3. Confounding by indication: Definitely a possibility! But the instrumental variable analysis (with or without flagyl- see below) helps protect against this.
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
2. Mortality differences emerge late: I agree, and I get why this feels weird for typical ICU interventions. It feels plausible for effects of anaerobe depletion, though, which may work by impacting secondary infection. While this is based on lab/animal data, I agree that this is a bit handwavy
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
1. Raw data is negative: The raw data wasn't negative (bottom of table 1, or just calculate the proportion who died who in each antibiotic group). It's still worth pursuing the instrumental variable analysis due to confounding by indication, but it's reassuring that the results are compatible.
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Andrew Admon @ajadmon.bsky.social · 26/11/2024
Thanks for sharing this, and thanks for all that you do for our field, especially bringing solid meded to Bluesky! Your work gives a lot of us a great reason to join. I was involved in the original paper and while I'm (always) open to being wrong I don't think it's for the reasons here. ...
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