All the atest articles, research and news from worlds leading Critical Care Journals.
Discussion Group
https://t.me/Medical_Professionals_Forum
Contact us
https://t.me/Contact_Updates_in_Medicine_Bot
Created
28 May 2020 — measured — cross-checked against a third-party dataset (TGDataset)
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 73% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
63 measurements spanning 96 days, net +746. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 19,395–20,365 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
11 Nov 2026, 22:56
20,253
+23
9 Nov 2026, 23:09
20,230
+11
8 Nov 2026, 17:35
20,219
+3
7 Nov 2026, 11:25
20,216
+5
6 Nov 2026, 13:07
20,211
+13
5 Nov 2026, 11:56
20,198
+6
4 Nov 2026, 09:59
20,192
+2
3 Nov 2026, 11:21
20,190
+11
2 Nov 2026, 10:04
20,179
+9
1 Nov 2026, 09:59
20,170
+9
31 Oct 2026, 12:26
20,161
+8
30 Oct 2026, 08:50
20,153
+3
29 Oct 2026, 07:46
20,150
+5
28 Oct 2026, 05:40
20,145
+7
27 Oct 2026, 06:40
20,138
+6
26 Oct 2026, 05:35
20,132
+9
25 Oct 2026, 04:11
20,123
+3
24 Oct 2026, 02:18
20,120
+7
23 Oct 2026, 05:37
20,113
+3
22 Oct 2026, 06:06
20,110
first reading
Engagement
29 posts held, back to 1 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 78 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.85%
avg views ÷ 20,253 subscribers
Avg views / post
1,180
13 posts measured
Reaction rate
0.141%
reactions ÷ views · ER floor
Posts in window
13
of 29 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 7 of 13 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 13 November 2026
Posts held
29 (1 December 2025 – 13 November 2026)
Views total
15,392
Reactions total
13
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 04:11 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈61
Videos
≈2
Links
≈6,740
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
85 reactions across 22 posts, in 3 distinct kinds. The most used accounts for 68.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
58
68.2%
👍
22
25.9%
🔥
5
5.88%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 23 of the 29 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 85 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 1 December 2025 to 13 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 13 posts held from the last 30 days (7.69%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🔵 Extracorporeal Cardiopulmonary Resuscitation
This multidisciplinary consensus addresses patient selection, activation, organization and delivery of ECPR for refractory cardiac arrest. It is expert consensus for a highly selected rescue strategy, not a recommendation for routine ECPR in all cardiac arrests.
DGK and partner societies | 12 November 2026 | Consensus statement
Read the original guideline
#MedicalGui…
• Targeting normocapnia shows no mortality advantage over mild hypercapnia in an ARDS emulation
Target-trial emulation, 584 patients: 90-day in-hospital mortality was 28.8% in both groups. Normocapnia required higher respiratory rates. This was not a randomized comparison of carbon-dioxide targets; residual confounding remains possible. Abstract reviewed.
Crit Care Med | 11 November 2026
Original study: https://doi…
• Guanfacine does not show a significant adjusted delirium benefit in an ICU pilot trial
Single-centre feasibility RCT of 100 surgical/trauma ICU patients: an unadjusted difference in delirium/coma-free days was not significant after prespecified adjustment. Length of stay and ventilation duration did not differ; efficacy needs a definitive trial. Abstract reviewed.
Crit Care Med | 11 November 2026
Original study: …
• SOFA-2 underpredicts ICU mortality in older patients in external validation
Single-centre MIMIC-IV cohort of 64,015 patients: overall AUROC 0.77, falling to 0.72 at age ≥75 versus 0.85 at ages 18–44. Calibration and discrimination varied by age and language; this does not establish effects on clinical decisions. Abstract reviewed.
Crit Care Med | 11 November 2026
Original study: https://doi.org/10.1097/CCM.000000…
• Abdominal Blast Injuries
New EXTRACCT clinical practice guideline on abdominal blast injuries.
Original guidance: https://doi.org/10.1002/wjs.70669
More Critical Care guidelines:
https://updatesinmedicine.com/guidelines/critical-care
• Rapid Endovascular Haemorrhage Control in Trauma
New ACS-COT/SIR joint statement on rapid endovascular haemorrhage control in trauma.
Original guidance: https://doi.org/10.1097/XCS.0000000000002254
More Critical Care guidelines:
https://updatesinmedicine.com/guidelines/critical-care
• 2026 International Resuscitation Consensus
New ILCOR consensus on resuscitation science and treatment recommendations.
Original guidance: https://doi.org/10.1016/j.resuscitation.2026.111328
More Critical Care guidelines:
https://updatesinmedicine.com/guidelines/critical-care
• Antibiotic Prescribing for Infants With Gastroschisis
New CHNC consensus guideline on antibiotic prescribing for infants with gastroschisis.
Original guidance: https://doi.org/10.1016/j.jpedsurg.2026.163573
More Critical Care guidelines:
https://updatesinmedicine.com/guidelines/critical-care
Critical Care | Research update — 11 November 2026
Oliceridine provides noninferior ICU analgesia to remifentanil
CO-ROAM (307 randomized): analgesic control was noninferior, with fewer respiratory-depression events. Ventilation duration, ICU stay and mortality did not improve. Abstract reviewed.
Intensive Care Med • 2026-11-10
Original article: https://doi.org/10.1007/s00134-026-08643-8
Inpatient ibuprofen use is …
Resuscitation 2026: selected adult CPR updates
ILCOR highlights measured ventilation of 400–600 mL (or 6–10 mL/kg ideal/predicted body weight), and suggests against routine intravascular fluids in undifferentiated non-traumatic cardiac arrest. Suspected hypovolaemia remains an important exception.
These are weak recommendations based on very-low-certainty evidence.
Read our focused update:
https://updatesinmedicin…
🔴 Free book: Medical Mnemonics
The 654-page PDF brings together 38 chapters across seven parts of medicine, with a clickable index, bookmarks and searchable text.
Download it free from Updates in Medicine, and explore more on the website:
https://updatesinmedicine.com/books
Please share it with colleagues who might find it useful.
🚀 UpdatesInMedicine.com is now live!
For medical professionals:
• Latest clinical guidelines
• Important new research
• Practical clinical reviews
• Guidelines in Practice
• Research in Practice
• C
Showing the 12 most recent of 29 posts we hold for @CriticalCareUpdates. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
NEJM (The New England Journal of Medicine) @The_NEJM · 27,933#8
Medicina crítica - critical care medicine - medicina intensiva a la mano @medicinaintensivaalamano · 23,111#9
YOUNG INDIA INTENSIVIST Channel DEDICATED TO PROMOTE EDUCATION AND ACADEMICS IN CCM & SIMILAR FIELDS and ALBERT EINSTEIN. YI2 @youngindiaintensivist · 2,941#10
Read from Telegram’s recommendation API, most recently 29 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Medicina crítica - critical care medicine - medicina intensiva a la mano @medicinaintensivaalamano · 23,111 Telegram ranks this channel #5 of 75 here — alongside 74 others — read 19 September 2026
ICU and pulmonary medicine @ahmedyasminc1 · 26,585 Telegram ranks this channel #5 of 75 here — alongside 74 others — read 13 September 2026
NEJM (The New England Journal of Medicine) @The_NEJM · 27,933 Telegram ranks this channel #5 of 79 here — alongside 78 others — read 11 September 2026
Clinical Practice guidelines @ClinicalPharmGuideline · 62,754 Telegram ranks this channel #5 of 78 here — alongside 77 others — read 22 August 2026
CRITICAL CARE Medicine @criticalcaremedicin · 22,343 Telegram ranks this channel #6 of 78 here — alongside 77 others — read 24 September 2026
UPDATES IN MEDICINE @Updates_in_Medicine · 49,531 Telegram ranks this channel #7 of 74 here — alongside 73 others — read 26 August 2026
Hakimed: Medical Resources @HakimApps_Guideline · 34,129 Telegram ranks this channel #10 of 80 here — alongside 79 others — read 5 September 2026
Respiratory Updates @respiratoryupdates · 20,504 Telegram ranks this channel #13 of 79 here — alongside 78 others — read 30 September 2026
Cardiology Updates @Cardiology_Updates · 20,581 Telegram ranks this channel #13 of 79 here — alongside 78 others — read 30 September 2026
internal medicine @easymedicine7 · 29,544 Telegram ranks this channel #15 of 73 here — alongside 72 others — read 8 September 2026
Internal Medicine - Medicina Interna @loacro01 · 30,976 Telegram ranks this channel #16 of 72 here — alongside 71 others — read 7 September 2026
doctor's notebook @doctorsnotebooks · 25,764 Telegram ranks this channel #18 of 75 here — alongside 74 others — read 16 September 2026
Medical Guidelines 2025_2026 @Mmmmmm221234 · 37,572 Telegram ranks this channel #21 of 66 here — alongside 65 others — read 2 September 2026
Urgencias Criticas @urgenciascriticas · 24,079 Telegram ranks this channel #23 of 73 here — alongside 72 others — read 17 September 2026
Medical Books @MedicalBooksStoreA · 44,018 Telegram ranks this channel #25 of 67 here — alongside 66 others — read 29 August 2026
Artículos Urgencias 🧑🏻⚕ @EmergenxyPhysician · 19,679 Telegram ranks this channel #27 of 75 here — alongside 74 others — read 1 October 2026
THE WHITE ARMY @whitearmyofmedicos · 107,703 Telegram ranks this channel #32 of 60 here — alongside 59 others — read 26 August 2026
Pediatrics @librospediatria · 21,416 Telegram ranks this channel #33 of 79 here — alongside 78 others — read 26 September 2026
Medicina Intensiva y Emergencias Pediátricas @intensivistapediatrico · 23,300 Telegram ranks this channel #35 of 73 here — alongside 72 others — read 20 September 2026
General Physical Examination @Physical_Examinationn · 21,250 Telegram ranks this channel #42 of 79 here — alongside 78 others — read 24 September 2026
Obsterics & Gynecology @Obs_gynee · 25,694 Telegram ranks this channel #43 of 70 here — alongside 69 others — read 26 September 2026
Artículos médicos Twitter @articulosmedicosdelMedtwitter · 51,610 Telegram ranks this channel #45 of 77 here — alongside 76 others — read 24 August 2026
Medical Mnemonics @medical_mnemonics · 65,026 Telegram ranks this channel #46 of 70 here — alongside 69 others — read 26 August 2026
Artículos Médicos - Luis, el intensivista @luiselintensivista · 76,972 Telegram ranks this channel #46 of 73 here — alongside 72 others — read 22 August 2026
This channel appears in 41 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Critical Care Updates” (@CriticalCareUpdates), 20,253 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/CriticalCareUpdates.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.