Neonatal Intensive Care
Neonatal Intensive Care Channel @newborn Administrator: @Vafaeeali Technical Supervisor of the Channel: Ali Vafaee, M.Sc. in Neonatal Intensive Care Ph.D. Candidate in Nursing Ms. Aida Safaei Fakhr M.Sc. in Neonatal Intensive Care
Show more📈 Analytical overview of Telegram channel Neonatal Intensive Care
Channel Neonatal Intensive Care (@newborn) in the English language segment is an active participant. Currently, the community unites 17 314 subscribers, ranking 1 357 in the Medicine category and 19 127 in the Iran region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 314 subscribers.
According to the latest data from 20 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 142 over the last 30 days and by 4 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 23.05%. Within the first 24 hours after publication, content typically collects 5.96% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 992 views. Within the first day, a publication typically gains 1 032 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 14.
- Thematic interests: Content is focused on key topics such as است, مراقبت, نوزادان, برای, نوزاد.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Neonatal Intensive Care Channel
@newborn
Administrator: @Vafaeeali
Technical Supervisor of the Channel:
Ali Vafaee, M.Sc. in Neonatal Intensive Care
Ph.D. Candidate in Nursing
Ms. Aida Safaei Fakhr M.Sc. in Neonatal Intensive Care”
Thanks to the high frequency of updates (latest data received on 21 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Medicine category.
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| Date | Subscriber Growth | Mentions | Channels | |
| 21 June | 0 | |||
| 20 June | +5 | |||
| 19 June | 0 | |||
| 18 June | 0 | |||
| 17 June | +2 | |||
| 16 June | +9 | |||
| 15 June | +4 | |||
| 14 June | +5 | |||
| 13 June | +8 | |||
| 12 June | +4 | |||
| 11 June | +3 | |||
| 10 June | +5 | |||
| 09 June | +11 | |||
| 08 June | +6 | |||
| 07 June | +5 | |||
| 06 June | +5 | |||
| 05 June | +6 | |||
| 04 June | +8 | |||
| 03 June | +3 | |||
| 02 June | +13 | |||
| 01 June | +11 |
| 2 | No text... | 578 |
| 3 | March 2026 - Stillbirth - #Clinics_in_Perinatology | 513 |
| 4 | No text... | 488 |
| 5 | December 2025 - Epidemiology and Genetics of Congenital Heart Disease - #Clinics_in_Perinatology | 513 |
| 6 | No text... | 531 |
| 7 | Neonatology for Medical Trainees.pdf | 1 226 |
| 8 | Platelet_transfusion_thresholds_for_thrombocytopenic_infants_Review.pdf | 2 619 |
| 9 | Grand Rounds June 2026.pdf | 4 353 |
| 10 | #NeoReviews - June 2026 | 3 890 |
| 11 | No text... | 4 740 |
| 12 | ❤️❤️❤️ Dear Members:
Please “BOOST” our Telegram channel to increase the quality of the content.
https://t.me/boost/newborn
https://t.me/boost/newborn
https://t.me/boost/newborn | 4 187 |
| 13 | No text... | 3 939 |
| 14 | Evidence-Based Practice Model
@newborn
@newborn | 3 345 |
| 15 | 50 Studies Every Neonatologist Should Know #requested | 3 479 |
| 16 | +1 #requested | 3 588 |
| 17 | Full version 2027 | 0 |
| 18 | Full version 2027 | 0 |
| 19 | https://t.me/boost/newborn | 0 |
| 20 | *Predicting outcomes in HIE*
A secondary analysis of an RCT of 113 asphyxiated infants compared transport using a phase-change material (PCM) mattress vs. standard care.
*_Findings_*
- 81 infants had aEEG data, 50 had LDH measured on admission
- No difference in achieving target temperature
- Poor outcomes at 18 months linked to:
– LDH >1000 U/L (89% sensitivity, 61% specificity)
– Severely depressed aEEG within 12 hours (87% sensitivity, 47% specificity)
– Combined LDH + aEEG improved prediction (91% sensitivity, 62% specificity; 81% accuracy)
The small sample size, with both LDH and aEEG assessed is 50 infants, limits statistical power and precision.
There’s also potential selection bias, since not all enrolled infants had complete data.
The combined use of LDH and aEEG is practical, but the modest specificity (62%) suggests these markers are better for ruling out poor outcomes than definitively predicting them, so they should complement—not replace—full assessment.
@newborn
@newborn
https://pubmed.ncbi.nlm.nih.gov/42059139/ | 0 |
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