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Channel

Сердечные записки

@NastyaHeartsNotes

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

928subscribers

-2 since we began measuring on 10 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002013732505
TypeChannel
Username@NastyaHeartsNotes
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 September 2026
Last confirmed live12 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 12 September 2026
On Telegramt.me/NastyaHeartsNotes

Growth

92893092910 September 2026 — 930 subscribers10 September 2026 — 930 subscribers12 September 2026 — 928 subscribers10 September 202612 September 2026
3 measurements spanning 2 days, net -2. 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 928–930 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 06:18928-2
10 Sept 2026, 08:22930no change
10 Sept 2026, 07:47930first reading

Engagement

12 posts held, back to 5 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.8%
avg views ÷ 928 subscribers
Avg views / post
165
4 posts measured
Reaction rate
6.20%
reactions ÷ views · ER floor
Posts in window
4
of 12 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 September 2026
Posts held12 (5 June 20267 September 2026)
Views total661
Reactions total41
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 08:22 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

Video runtime
10s
Average length
10s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

166 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 59.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9959.6%
🔥3521.1%
👍2716.3%
21.20%
custom 530331003094095243910.602%
❤‍🔥10.602%
🤡10.602%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 12 of the 12 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 166 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 5 June 2026 to 7 September 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

7 Sept 2026, 15:03 UTC95 views10 reactionsread 10 September 2026
Photo

#хсн Новые рекомендации по ХСН от ESC 2026: Натриуретические пептиды – новые пороговые значения ❤️Своевременная диагностика сердечной недостаточности (СН) — залог успешного лечения. В свежих европейских рекомендациях ключевая роль отводится определению уровней натриуретических пептидов, а наиболее широко используемым остается именно NT-proBNP 📌 Преимущества NT-proBNP 🏥 Стабильность: высокая устойчивость при к

7🔥2👍1

Signed Анастасия Лозицкая

3 Sept 2026, 10:07 UTC158 views5 reactionsread 10 September 2026

ESC 2026: Новые ориентиры в инвазивной кардиологии 🤩AIR-STEMI ➡️У пациентов с ИМпST и многососудистым поражением стратегия полной реваскуляризации, выполняемой под контролем функциональной ангиографии, обеспечила снижение композитной конечной точки (смерть/ИМ/инсульт/реваскуляризация) по сравнению с классическим ангиографическим подходом. ➡️Физиологическое ведение позволяет более точно отбирать поражения для

🔥5

Signed Анастасия Лозицкая

2 Sept 2026, 04:01 UTC172 views8 reactionsread 10 September 2026

Европейский конгресс 2026: заметка №2 🤩STAREE - ужасные статины оказались полезны даже для относительно здоровых пациентов 70+ ➡️В популяции самостоятельно проживающих пациентов ≥70 лет без установленного ССЗ и сахарного диабета аторвастатин снизил частоту больших сердечно-сосудистых событий на 30%. Тем не менее, терапия не продемонстрировала преимуществ в отношении общей смертности, риска деменции или стойкой ф

👍71

Signed Анастасия Лозицкая

29 Aug 2026, 07:22 UTC236 views18 reactionsread 10 September 2026

Вчера начался конгресс ESC 2026 в Мюнхене Подготовила сжатую заметку по ключевым моментам первого дня ♥️ИНФАРКТ МИОКАРДА ✉️Пятое универсальное определение инфаркта миокарда - Изменения в классификации: упразднены номерные типы инфарктов, теперь предлагается подразделять инфаркт миокарда на клинические типы: 💛первичный (ранее тип 1 - связанный с атеротромбозом) 💛вторичный (ранее тип 2) 💛связан

11👍6❤‍🔥1

Signed Анастасия Лозицкая

17 Jul 2026, 17:45 UTC359 views11 reactionsread 10 September 2026

💊Вчера FDA одобрило препарат энлицитид (энлицид) (Lipfendra; Merck) - первый пероральный ингибитор PCSK9, что стало крупным прорывом в гиполипидемической терапии. 💉До настоящего времени ингибиторы PCSK9 были доступны преимущественно в виде инъекций. 📍Решение FDA было подкреплено двумя исследованиями 3-й фазы в рамках клинической программы CORALreef. 🔺В исследовании CORALreef Lipids (NCT05952856) энлицид продем

9🔥2

Signed Анастасия Лозицкая

8 Jul 2026, 18:43 UTC385 views35 reactionsread 10 September 2026
Video

Давненько я так не нервничала, но слава Богу все кончилось. Сегодня я сдала аккредитацию. 8 лет позади. Теперь официально врач кардиолог

30🔥5

Signed Анастасия Лозицкая

7 Jul 2026, 15:10 UTC392 views11 reactionsread 10 September 2026

Пока готовлюсь ко второму этапу аккредитации, у меня сбился режим, выпал спорт, а питание на стрессе стало далеким от здорового. Самое время поделиться новыми данными про пресловутый ЗОЖ!💪 11 минут сна😴 + 4.5 минуты физической активности💃+чуть больше овощей в рационе🍆= −10% сердечного-сосудистого риска Выглядит слишком сказачно? Возможно. Но именно такой вывод получается согласно результатам одного из свежих исслед

🔥101

Signed Анастасия Лозицкая

21 Jun 2026, 07:36 UTC299 views13 reactionsread 10 September 2026
Photo

Дорогие коллеги, все, кто причастен к медицине! Поздравляю вас с профессиональным праздником!🏥 Работа в медицине - это тяжёлый труд, требующий от медика постоянного самосовершенствования , психологической устойчивости и временами даже физической подготовки. В медицине нельзя расслабиться и просто плыть по течению, ведь регулярно обновляющиеся данные заставляют нас всегда "быть в тонусе", чтобы оказывать качественну

11🔥2

Signed Анастасия Лозицкая

20 Jun 2026, 13:21 UTC263 views9 reactionsread 10 September 2026
Forwarded from @heartsnotesallPhoto

Пенза моя Пенза

8🔥1

Signed Анастасия Лозицкая

19 Jun 2026, 16:29 UTC313 views8 reactionsread 10 September 2026
Photo

На днях у нас с коллегой (у которого тоже есть классный канал) вышла новая статья, клинический случай синдрома некомпактного миокарда у молодого спортсмена Можно ознакомиться здесь

7🤡1

Signed Анастасия Лозицкая

10 Jun 2026, 12:06 UTC478 views20 reactionsread 10 September 2026

Поменяла фамилию, вчера получила новый паспорт. Больше не Яснева, теперь Лозицкая. Не теряйте✉️

👍13🔥61

Signed Анастасия Лозицкая

5 Jun 2026, 18:35 UTC538 views18 reactionsread 10 September 2026
Photo

❤️С 3 по 5 июня в Москве проходило одно из главных ежегодных кардиологических событий - конференция "Кардиология на марше" Традиционно во время конференции проводятся кардиопоединки - игра, в которой сражаются 10 лучших кардиокоманд. Вчера наша команда (ФФМ МГУ им.М.В.Ломоносова) выиграла полуфинал, а сегодня заняла почетное второе место в финале! 🏥Вот так красиво завершаем ординатуру. Дальше - аккредитация😎

15🔥2custom 53033100309409524391

Signed Анастасия Яснева

Showing the 12 most recent of 12 posts we hold for @NastyaHeartsNotes. 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.

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.

Доктор Лесков
@doctorleskov · 27,877
Telegram ranks this channel #27 of 92 here — alongside 91 others — read 10 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 12 September 2026 — this entry's latest reading, not the date you are reading this.

“Сердечные записки” (@NastyaHeartsNotes), 928 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/NastyaHeartsNotes.

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.