Intensive Care Med May 2020 PMID 32125452

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.

Qiurong Ruan, Kun Yang, Wenxia Wang, Lingyu Jiang, Jianxin Song

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Mentions

313
Peak: 131 in Mar 2020
across 5 sources since Mar 2020

Extended reach

1,004,652
potential audience

Total likes

380

Video views

1,545

Mentions per month

Mar 2020 – Jul 2024

Where it's discussed

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AI synopsis

What people are saying

The discussions reveal a variety of perspectives on the implications of the research. For instance, several users referenced specific findings about cardiac conditions linked to the virus, using terms like 'critical insights' and highlighting the importance of underlying health conditions. The tone ranged from supportive to questioning, particularly around the quality of the study's sample size, as seen in comments suggesting that more robust data should be considered.

AgreementNeither agree nor disagree

The discussions reflect mixed feelings, with some users questioning the study's methods and others supporting its findings.

InterestHigh interest

There is a notable level of curiosity among users about the research, as many comments reflect a desire to engage with the findings.

EngagementModerate engagement

Many participants share insights about cardiovascular implications and cytokine responses, indicating varying levels of engagement.

ImpactModerate impact

While there is some belief in the study's relevance, skepticism about its implications limits its perceived impact.

Abstract in brief

  • A study analyzed data from 150 COVID-19 patients in Wuhan to identify clinical factors predicting mortality.
  • Key predictors included older age, underlying health conditions (like cardiovascular disease), and severe respiratory symptoms at the time of hospital admission.
  • The findings highlight the importance of early identification of high-risk patients to improve treatment and outcomes during the pandemic.

Top posts

Most liked on X and Bluesky
Peter Attia
@PeterAttiaMD · X

This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.” (Ruan, Q., Yang, K., Wang, W. et al.… https://t.co/S3c6XdWbML

Mar 14, 2020 · 138 likes · 39 shares · 501,666 followers View post →
Intensive Care Medicine
@yourICM · X

1⃣Predictors of mortality due to #COVID19, data from Wuhan https://t.co/VVgchKewnI 2⃣SSC guidelines on management of critically ill adults with COVID-19 https://t.co/Dqr3Ih7GZJ 3⃣ACE2 as #SARSCoV2 receptor: mechanisms & potential therapeutic target https://t.co/tjg5kkoMcT https://t.co/04PxQL0DfH

Feb 6, 2021 · 12 likes · 5 shares · 75,370 followers View post →
Salva García Morillo PhD. MD.
@UCAMIraras · X

#MedInternaHUVR La ferritina ya está aquí como predictor de riesgo de mortalidad en infección por #CODVID19 https://t.co/jZR6rJBmew

Mar 29, 2020 · 10 likes · 5 shares · 1,057 followers View post →
Elias Said, MD, FACEP
@MdFacep · X

@EM_RESUS ? "mild COVID symptoms? Acute cardiac injury c/w moderate COVID-19 with poor prognostic indicator for rapid deterioration and w/increased case fatality. Fulminant Myocarditis https://t.co/dsSlzmUcGN

Apr 9, 2020 · 8 likes · 5,011 followers View post →
Mark Gibson
@mdjgibson · X

@GiacoChiara @javierrcarrio @Lupusreference @EULAR_JC @benevolent_ai @DrPujaMehta1 This Chinese study from Wuhan included Ferritin in its supplementary material - significantly higher in patients that died from COVID compared to survivors https://t.co/qDE5CVThUI #EULARJC

Mar 25, 2020 · 8 likes · 3 shares · 141 followers View post →
HopeSeekr
@hopeseekr · X

HERE'S THE STUPID SCIENTIFIC STUDY, YOU FUCKING MORONS! You're costing people their lives going "Oh, your math is shit! Oh you're a fear monger!" https://t.co/yg275hn10y

Mar 17, 2020 · 7 likes · 2,273 followers View post →

All mentions

Kasai
@sportwettenmann · X

@kraichtaler @julian_spiegler @frei_geist_ @schizoswoche Was irrelevant ist entscheidest du?

Jul 24, 2024 · 214 followers View post →
Ghost of Corkey
@GhostOfCorkey · X

@Midge_UK @RayTwing @LozzaFox That article is basing data on myocarditis from China and seems to be a prediction based on 150 patients. “Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China” I’m sure you must have seen better quality evidence?

Aug 5, 2023 · 403 followers View post →
1Cademy
@1Cademy · X

Apr 19, 2023 · 10 followers View post →
THINK
@eroded1 · X

@igetakick @stkirsch this study was released in 2020 before vaccines "The results obtained from this study also suggest that COVID-19 mortality might be due to virus-activated “cytokine storm syndrome” or fulminant myocarditis." https://t.co/tb6Q3C7RTE

Jan 12, 2023 · 294 followers View post →
waqar dahri
@Dahri85Waqar · X

RT @nickmmark: @ktmurraymcw I hadn’t noticed this myself, but the Ruan et al study of ~150 patients in China found increased BUN, Cr, ferri…

Mar 18, 2022 · 2 shares · 457 followers View post →
Muskrat Elmo, Muskrat Don
@HawkInATX · X

@BlueLionBlog @MsTrixter @isa_picard @ChrisJohnsonMD @BafienMorin @TinFoilAwards @ktibus @mcfunny @s21519 @krebiozen @F250Roush @Juanita87722370 @4thEchelon22 @handmadekathy @Kathmarval @FrankDElia7 @SassyGirlD1 @mrhawkes @iXeno @BGLTHMND @doritmi @ThomasHarrigan8 @foofdawg @TheFrankmanMN @TruthTwt @BigBruce1972 @keithccurtis @John010708 @SkepticalMutant @Monstercoyliar @lewbloch @somethinsomethi @cappsie @lizditz @dogdownlockdown @natedoromal @GrammarianJoe @SirSydneyCamm @KitemanArgues @SHurrell1 @Rklawton @Skeptiguy1 @phil_luttazi @crabb_vicki @alisonpalk @WendyOrent @khan_we_kick_it @WaitingForPerot @heartattackvax @Vbalance03 But here you go: https://t.co/pJP33WlDoV

Mar 17, 2022 · 2 likes · 448 followers View post →
Isatou Sarr
@IsatouSarr4 · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.co/DzwRnO5APB

Apr 27, 2021 · 1 like · 32 followers View post →
Karen Igaña-Daan
@karenagi · X

RT @yourICM: 1⃣Predictors of mortality due to #COVID19, data from Wuhan https://t.co/VVgchKewnI 2⃣SSC guidelines on management of critical…

Feb 7, 2021 · 5 shares · 169 followers View post →
Syed Shahrul Naz
@drshahrul80 · X

RT @yourICM: 1⃣Predictors of mortality due to #COVID19, data from Wuhan https://t.co/VVgchKewnI 2⃣SSC guidelines on management of critical…

Feb 6, 2021 · 5 shares · 6,930 followers View post →
DASAIM
@DASAIMdk · X

RT @yourICM: 1⃣Predictors of mortality due to #COVID19, data from Wuhan https://t.co/VVgchKewnI 2⃣SSC guidelines on management of critical…

Feb 6, 2021 · 5 shares · 739 followers View post →
Erik Rafflenbeul
@KardiologieHH · X

RT @yourICM: 1⃣Predictors of mortality due to #COVID19, data from Wuhan https://t.co/VVgchKewnI 2⃣SSC guidelines on management of critical…

Feb 6, 2021 · 5 shares · 8,703 followers View post →
Yvelynne Kelly
@YvelynneKelly · X

RT @yourICM: 1⃣Predictors of mortality due to #COVID19, data from Wuhan https://t.co/VVgchKewnI 2⃣SSC guidelines on management of critical…

Feb 6, 2021 · 5 shares · 708 followers View post →
Intensive Care Medicine
@yourICM · X

1⃣Predictors of mortality due to #COVID19, data from Wuhan https://t.co/VVgchKewnI 2⃣SSC guidelines on management of critically ill adults with COVID-19 https://t.co/Dqr3Ih7GZJ 3⃣ACE2 as #SARSCoV2 receptor: mechanisms & potential therapeutic target https://t.co/tjg5kkoMcT https://t.co/04PxQL0DfH

Feb 6, 2021 · 12 likes · 5 shares · 75,370 followers View post →
COVID Impact
@CovidSerology · X

@ivaningrad @GidMK True but evidence suggests most related to COVID19 - however we must interpret with care. Moreover, IFR without excess death is still >0.3%. Furthermore, COVID19 as with influenza causes deaths through cardiovascular complications. https://t.co/NzX1iFCs13 https://t.co/NqqQJhp5mB

Sep 30, 2020 · 1,595 followers View post →
COVID Impact
@CovidSerology · X

@galinash Early data from Wuhan suggested that myocardial infractions and heart failure were involved a large portion of fatalities. https://t.co/NzX1iFCs13 Recent data including those from @EricTopol imply infection of cardiac cell is more prevalent than previously known https://t.co/IFm1lNkgNC

Aug 27, 2020 · 1 like · 1,595 followers View post →
مروری بر کووید-۱۹
@Covid19_Review · X

۶۶/ همچنین، وقتی سلولهای سالم هم آسیب ببینند باعث ایجاد عفونت ثانویه باکتریایی میشود. این طوفان همچنین باعث آسیب دیدن بقیه ارگانهای بدن هم میشود. به خصوص اگر بیمار دارای بیماری زمینه‌ای قبلی مثل بیماری قلبی هم باشد. https://t.co/hzh9JMveJ2

Aug 26, 2020 · 55 followers View post →
Victor
@viciykevin · X

@venkmurthy @CMichaelGibson @theheartorg Wouldn't this explain some of the high rates of myocardial involvement and heart failure noted by Chinese doctors in the early stages in Wuhan? Maybe a case of no one was looking too hard before now? https://t.co/kFWCobkwfO https://t.co/OfzR0BJWHF

Aug 25, 2020 · 600 followers View post →
COVID Impact
@CovidSerology · X

Links: Ischemic stroke: https://t.co/ImVT5Z1vxX Comorbidity risk: https://t.co/KIoKhRGAS9 Alzheimer's: https://t.co/0nC2N1rJ9i Acute Myocardiatis: https://t.co/NzX1iFCs13 3/n

Aug 9, 2020 · 3 likes · 1,595 followers View post →
Professor Jarryd Willis PhD
@DrJarryd · X

67-85% of #COViD patients in intensive care units developed acute respiratory distress syndrome (ARDS), making it the leading cause of mortality (Ruan et al., https://t.co/QPu7JbOkeQ )

Jul 24, 2020 · 3,466 followers View post →
Dei
@IDeiniol · X

@lagavulinlad @OLawgoch @cymrocarn @carolagerrard @BBCWalesNews https://t.co/NZmXWxBG2S

Jul 8, 2020 · 1,019 followers View post →
V. Cheianov, Esq.
@cheianov · X

For this study https://t.co/yNtm2jvtDy the odds that the sample is drawn from the Stockholm distribution are 1300 to 1 against even w/o right-truncation. 32/

Jun 24, 2020 · 1,819 followers View post →
wouldnt you like to know
@countrygirlgta · X

@StevePhillipsMD @JamesTodaroMD https://t.co/B9uD2uWCRi

Jun 21, 2020 · 211 followers View post →
ASKombo_PhD Nursing
@kombooo2012 · X

Ruan, Q., Yang, K., Wang, W., Jiang, L., & Song, J. (2020). Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive care medicine, 46(5), 846–848. https://t.co/yvyVwxHj8x

May 31, 2020 · 4 followers View post →
DonP OP
@D_PedroOP · X

@MrChickenRider @periclesaso @joanjordi98 @electo_mania Vuelves a mentir, los sintomas aparecen a los 5-7 días, mueren en su mayoría en el día 14. Si fallercieron a partir del 2 de abril se contagiaron en el periodo en el que Iglesias era responsable. https://t.co/mCmNowBBDe https://t.co/eDAQFFTXfB

May 13, 2020 · 161 followers View post →
Rumi Khan
@RumiKhanMD · X

RT @mugecevik: 2/ In a cohort of 68 fatal #COVID19 vs 82 discharged cases, underlying CVD & secondary infection increased risk of mortality…

May 5, 2020 · 37 shares · 717 followers View post →
jameson
@otherjameson · X

"Clinical Predictors of Mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China" #BIOE340 https://t.co/AlodA4Tm4Z

Apr 28, 2020 · 1 like View post →
wouldnt you like to know
@countrygirlgta · X

@fordnation https://t.co/B9uD2uWCRi

Apr 27, 2020 · 211 followers View post →
Paola Morejón Barragán
@paomorejon · X

La TC se consideró la mayor causa de mortalidad en las epidemias previas SARS-CoV & MERS-CoV De las citocinas destaca

Apr 20, 2020 · 5 likes · 4 shares · 18,408 followers View post →
krillekrill
@WebKrillekrill · X

RT @VonBlabar: @karlnilsson66 @ALinnean1000 Av Covid-19 patienter med lunginflammation (medelsvåra svåra fall) utvecklade 9% septisk chock,…

Apr 19, 2020 · 2 shares · 146 followers View post →
A
@ALinnean1000 · X

RT @VonBlabar: @karlnilsson66 @ALinnean1000 Av Covid-19 patienter med lunginflammation (medelsvåra svåra fall) utvecklade 9% septisk chock,…

Apr 19, 2020 · 2 shares · 5,822 followers View post →
von Blåbär
@vonBlabar · X

@karlnilsson66 @ALinnean1000 Av Covid-19 patienter med lunginflammation (medelsvåra svåra fall) utvecklade 9% septisk chock, 20% ARDS, 7% hjärtinfarkt https://t.co/I3uVUMhPTT Hälften av de svåra fallen fick påverkan på hjärtmuskeln https://t.co/2IsNC9ZqqK Finns många studier

Apr 19, 2020 · 2 likes · 2 shares · 4,259 followers View post →
浜菊会
@hamagikukai · X

中国の死亡者と回復者の違いを見た論文でも >https://t.co/U3nO8kxZ3h ARDS状態になってしまうと厳しくなるが、IL-6の血中濃度が高いとサイトカインストームという状況に陥っているので、肺胞細胞にダメージってなる。 tocilizumabはIL-6受容体に特異的な遮断薬であり、薬剤承認も既に通っている。 https://t.co/As7Esi9hxh

Apr 17, 2020 · 500 followers View post →
Predimed
@Predimed_techno · X

Le site https://t.co/pHjcXAiPKP réalise une veille et analyse de la littérature #médicale et #scientifique dédiée au #Coronavirus Analyse du Dr LAVAUX Thomas Télécharger l'article et l'analyse complète ici ➡️https://t.co/5h103ydv4V @CHRUStrasbourg @yourICM #COVID19 https://t.co/OQ1KxlL93U

Apr 14, 2020 · 502 followers View post →
LA CHAMADE ‏
@LChamade · X

RT @Predimed_techno: Le site https://t.co/LvmaWpUisC réalise une veille et analyse de la littérature #médicale et #scientifique dédiée au #…

Apr 14, 2020 · 2 shares · 523 followers View post →
CHRU Strasbourg
@CHRUStrasbourg · X

RT @Predimed_techno: Le site https://t.co/LvmaWpUisC réalise une veille et analyse de la littérature #médicale et #scientifique dédiée au #…

Apr 14, 2020 · 2 shares · 4,160 followers View post →
ILupo Bianco
@ILupobianco · X

@SirAlexPlini Veramente basta andarsi a leggere qualche pubblicazione...qui 150 autopsie https://t.co/RImw7cN29J

Apr 12, 2020 · 5 likes · 1,738 followers View post →
ILupo Bianco
@ILupobianco · X

@cris_cersei 150 autopsie solo in questa pubblicazione https://t.co/RImw7cN29J

Apr 12, 2020 · 1,738 followers View post →
Syed Shahrul Naz
@drshahrul80 · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Apr 12, 2020 · 42 shares · 6,930 followers View post →
Lourdes
@nurneaj · X

RT @AnGeLaUyEn: @DavidQutob Cuidado con las miocarditis fulminantes la tormenta de citoquinas e incluso las complicaciones cardio de quiene…

Apr 11, 2020 · 3 shares · 4 followers View post →
ILupo Bianco
@ILupobianco · X

@Ussignur_ https://t.co/RImw7cN29J

Apr 9, 2020 · 1,738 followers View post →
Elias Said, MD, FACEP
@MdFacep · X

@EM_RESUS ? "mild COVID symptoms? Acute cardiac injury c/w moderate COVID-19 with poor prognostic indicator for rapid deterioration and w/increased case fatality. Fulminant Myocarditis https://t.co/dsSlzmUcGN

Apr 9, 2020 · 8 likes · 5,011 followers View post →
Steve Gardner
@SteveJGardner · X

@HeikkiRay @DrEricDing https://t.co/xCioBv3HAt (Most die from Respiratory Failure some die from both respiratory and myocardial damage)

Apr 8, 2020 · 1,167 followers View post →
Clau Sarosky
@zionclau · X

RT @AnGeLaUyEn: @DavidQutob Cuidado con las miocarditis fulminantes la tormenta de citoquinas e incluso las complicaciones cardio de quiene…

Apr 8, 2020 · 3 shares · 911 followers View post →
Leonor Vásquez MD
@LeitoVr · X

RT @AnGeLaUyEn: @DavidQutob Cuidado con las miocarditis fulminantes la tormenta de citoquinas e incluso las complicaciones cardio de quiene…

Apr 8, 2020 · 3 shares · 978 followers View post →
LabGenetics
@labgeneticsbol · X

https://t.co/Jt4BTiNiuE Talking about mortality due to SARS CoV 2

Apr 7, 2020 · 37 followers View post →
Angela Uyen Cateriano MD, MsC,MBA, MA.IR
@AnGeLaUyEn · X

@Gontxi7 @DavidQutob Cuidado con las miocarditis fulminantes la tormenta de citoquinas e incluso las complicaciones cardio de quienes están en HQ. Hay que ser muy prudente para anticoagular estos pacientes https://t.co/pxoRHhoqwB

Apr 7, 2020 · 3 likes · 11,401 followers View post →
Alexander Barrios S
@mprimerpediatra · X

RT @lasecip: Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China…

Apr 6, 2020 · 3 shares · 733 followers View post →
carolina grela
@ricarogrela · X

RT @lasecip: Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China…

Apr 6, 2020 · 3 shares · 114 followers View post →
Ruvistay Gutiérrez
@ruvistay · X

RT @lasecip: Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China…

Apr 6, 2020 · 3 shares · 219 followers View post →
SECIP
@lasecip · X

Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.co/tFm52AeCzW #IntCareMed

Apr 6, 2020 · 2 likes · 3 shares · 5,613 followers View post →
Bollito de canela
@chicles__ · X

RT @MichaelB_MD: https://t.co/8gnRJcwiWe https://t.co/XDRDLKiPKJ

Apr 5, 2020 · 1 share · 315 followers View post →
Franck Gabriel
@FranckGabriel6 · X

@lorisguemart Pour ceux qui me diraient facile de prévoir après coup: accepté le 24/02 publié le 3/03 "The results obtained from this study also suggest that COVID-19 mortality might be due to virus-activated “cytokine storm syndrome” or fulminant myocarditis."... [1]-https://t.co/qaFG58kv9q

Apr 5, 2020 · 160 followers View post →
Arnaldo Báez Neris
@jsbaez529 · X

@drcorazon2016 Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China Lee esto please la mayoria de las muertes son miocarditis y cytokines storm sindrome se estan enfocando en los pulmones solamente hay ver ferritina high

Apr 5, 2020 · 19 followers View post →
Arnaldo Báez Neris
@jsbaez529 · X

https://t.co/x8SEFt9d9i

Apr 5, 2020 · 19 followers View post →
LeAnne LawtonTancred
@LeAnneTancred · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China | SpringerLink https://t.co/vmKsXcp5LD

Apr 2, 2020 · 986 followers View post →
Edward Leigh
@EdwardALeigh · X

@Williams_Racing @TomPike00075908 @JolyonMaugham @DrVikasSaini @theJeremyVine @JohnsHopkinsSPH That figure is now being widely used, but seemingly based on a very small sample of 24 patients in China: https://t.co/9AFafFNYBN Today I found another study, of 67 patients, which yields a median of 17 days from symptoms (22–23 from infection) to death: https://t.co/rALhdIgMw5

Apr 2, 2020 · 1,104 followers View post →
Veni
@venancio_veni · X

RT @UCAMIraras: #MedInternaHUVR La ferritina ya está aquí como predictor de riesgo de mortalidad en infección por #CODVID19 https://t.co/jZ…

Apr 2, 2020 · 5 shares · 379 followers View post →
Carlos Alcantara
@calcantarar2205 · X

RT @UCAMIraras: #MedInternaHUVR La ferritina ya está aquí como predictor de riesgo de mortalidad en infección por #CODVID19 https://t.co/jZ…

Apr 2, 2020 · 5 shares · 33 followers View post →
Michael Barkett
@MichaelB_MD · X

https://t.co/8gnRJcwiWe https://t.co/XDRDLKiPKJ

Apr 2, 2020 · 2 likes · 1 share · 53 followers View post →
Angela Uyen Cateriano MD, MsC,MBA, MA.IR
@AnGeLaUyEn · X

@nextaxboy @zombienietzsche https://t.co/pxoRHhoqwB

Apr 1, 2020 · 3 likes · 11,401 followers View post →
Alfonso Gutiérrez Macías
@alguma666 · X

RT @UCAMIraras: #MedInternaHUVR La ferritina ya está aquí como predictor de riesgo de mortalidad en infección por #CODVID19 https://t.co/jZ…

Mar 30, 2020 · 5 shares · 292 followers View post →
Tati
@TatiPicazo · X

RT @UCAMIraras: #MedInternaHUVR La ferritina ya está aquí como predictor de riesgo de mortalidad en infección por #CODVID19 https://t.co/jZ…

Mar 30, 2020 · 5 shares · 265 followers View post →
Anupam Jaina
@anupamjaina · X

RT @rajsinghchohan: References Young et al. 2020 https://t.co/R3x30zjPIK Ai et al. 2020 https://t.co/0c7cEjp1LA Kanne et al. 2020 https…

Mar 30, 2020 · 4 shares · 552 followers View post →
Trevor D. McKee PhD
@tdmckee · X

Interesting news article (& related scientific study: https://t.co/MlJI4QiCcN) about the risk of cytokine storm being a component making this virus deadly... For immunologists a lot more well versed in this than myself, what r ur thoughts? @JenGommerman https://t.co/El67xMgN2z

Mar 29, 2020 · 2,193 followers View post →
Pedro mendez
@Pedro64mendez · X

RT @UCAMIraras: #MedInternaHUVR La ferritina ya está aquí como predictor de riesgo de mortalidad en infección por #CODVID19 https://t.co/jZ…

Mar 29, 2020 · 5 shares · 402 followers View post →
Salva García Morillo PhD. MD.
@UCAMIraras · X

#MedInternaHUVR La ferritina ya está aquí como predictor de riesgo de mortalidad en infección por #CODVID19 https://t.co/jZR6rJBmew

Mar 29, 2020 · 10 likes · 5 shares · 1,057 followers View post →
drPatricioReyPsiquiatra
@drpatriciorey · X

Predictores clínicos de mortalidad por COVID-19 basados ​​en un análisis de datos de 150 pacientes de Wuhan, China https://t.co/8M8x1OUt4C

Mar 28, 2020 · 505 followers View post →
vacunese por favor
@EDiegorojas84 · X

RT @DrRomainBrunel: @felipelobelo @EDiegorojas84 @cperezd @AbbottNews @acinnacional https://t.co/InUBkRgEAg A total of 16% (11/68) of the p…

Mar 28, 2020 · 1 share · 1,278 followers View post →
Romain Brunel
@DrRomainBrunel · X

@felipelobelo @EDiegorojas84 @cperezd @AbbottNews @acinnacional https://t.co/InUBkRgEAg A total of 16% (11/68) of the patients in the death group had secondary infections, and 1% (1/82) of the patients in the discharge group had secondary infections (p = 0.0018)

Mar 28, 2020 · 2 likes · 1 share · 30,110 followers View post →
Syed Shahrul Naz
@drshahrul80 · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 27, 2020 · 42 shares · 6,930 followers View post →
Ahmet Kıraç
@ahmetkirac · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China Qiurong Ruan, Kun Yang, Wenxia Wang, Lingyu Jiang & Jianxin Song https://t.co/rkAjAg4wc6

Mar 26, 2020 · 875 followers View post →
(((TheTracker)))
@IdiotTracker · X

@lesliegoebel @petiteorthopac There is data, for the most part it is the same stuff that predisposes you to have a bad time with any other sort of pneumonia, but age, cardiovascular disease, and smoking are notably more predictive. https://t.co/oWACbfyxMl

Mar 26, 2020 · 2 likes · 2,230 followers View post →
David Gallardo-Pujol
@gallardopujol · X

I took the supplementary material of the paper below and computed the effect size (D) of all metab markers between Died and Discharged. Perhaps it may be useful for finding targets @oriolmitja @ToniTrilla @hospitalclinic . Scripts available on requests https://t.co/sPVP2ypO03 https://t.co/J5WdVXDJIX

Mar 26, 2020 · 7 likes · 979 followers View post →
Law
@lawrencewlee · X

@DrKoWN_ @hutchinson Here we can see how age and other health risk factors can lead to much greater mortality rates as well: https://t.co/TTwFvf5M0M https://t.co/7t45mtz4JK

Mar 25, 2020 · 93 followers View post →
Mark Gibson
@mdjgibson · X

@GiacoChiara @javierrcarrio @Lupusreference @EULAR_JC @benevolent_ai @DrPujaMehta1 This Chinese study from Wuhan included Ferritin in its supplementary material - significantly higher in patients that died from COVID compared to survivors https://t.co/qDE5CVThUI #EULARJC

Mar 25, 2020 · 8 likes · 3 shares · 141 followers View post →
LdGülbaran
@mioagnusdei · X

@mucahitkyilmaz Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.co/TrsvcLwLZV

Mar 25, 2020 · 3,315 followers View post →
Alnardo Lora
@crzydoc · X

@brianajuskowiak @medicalaxioms Yes I’ve seen a few patients with thrombocytopenia. Mild thrombocytopenia is common and a lower platelet count was found to be a poor prognostic sign https://t.co/OR100E6vwj

Mar 25, 2020 · 1 like · 2,819 followers View post →
Rama El-Yafawi
@rama_elyafawi · X

@mahrukhrizvi_MD @GrigoryMD This study found that 16% of pts who died (11/68) had a secondary infection- presumably superimposed bacterial. https://t.co/QHTmvIL6vF

Mar 22, 2020 · 1 like · 1,333 followers View post →
Matt Lattman
@MattLatt · X

The early research out of Wuhan is also showing high rates of CRP and IL-6 associated with mortality rates. https://t.co/5Kx2g4kldG https://t.co/6MT0oWi5GN

Mar 22, 2020 · 350 followers View post →
Tariq Al-Shimmari
@asteamincupoft · X

This paper (https://t.co/dAP04oIRqW) shows clinical predictors of death due to COVID-19. Patients that survived had lower levels of markers for inflammation, immune activity, and heart damage compared to patients that died. https://t.co/AnQjKQXyEs https://t.co/fjO2WPoxS2

Mar 22, 2020 · 1 like · 241 followers View post →
Wojtek Chwala
@wojtekchwala · X

According to the following research paper, an excessive immune response seems to be the fatal factor that kills many COVID-19 patients (the hypothesis has been published in a peer-reviewed journal) https://t.co/8qZG4KSs3j

Mar 21, 2020 · 119 followers View post →
Julia B.
@JuliaB_fitness · X

RT @DrJeffreyBone: @DrAricSudicky Wrong question. The question should be, “What can reduce IL-6?” The cure will be a medication/vaccine, b…

Mar 21, 2020 · 1 share · 2,272 followers View post →
N. Tany
@N99tany · X

RT @shiopii123: 中国武漢の患者150人のデータの分析に基づいたCOVID-19による死亡の臨床的予測因子 https://t.co/CArisGdTbj

Mar 21, 2020 · 1 share · 57 followers View post →
James Dalton
@jamesdalton1980 · X

RT @mugecevik: 2/ In a cohort of 68 fatal #COVID19 vs 82 discharged cases, underlying CVD & secondary infection increased risk of mortality…

Mar 21, 2020 · 37 shares · 275 followers View post →
Susan ☆ Whitney ☆ E Pluribus Unum ☆Out of Many,One
@SMBWhitney · X

RT @SMBWhitney: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.c…

Mar 21, 2020 · 1 share · 3,678 followers View post →
nancy neff
@nancyneff2 · X

RT @SMBWhitney: @nancyneff2 @karolcummins @JoeBiden @maddow @RepMaxineWaters @RepKatiePorter @duty2warn @DavidJollyFL @amyklobuchar @tedlie…

Mar 21, 2020 · 2 shares · 2,355 followers View post →
Susan ☆ Whitney ☆ E Pluribus Unum ☆Out of Many,One
@SMBWhitney · X

RT @SMBWhitney: @nancyneff2 @karolcummins @JoeBiden @maddow @RepMaxineWaters @RepKatiePorter @duty2warn @DavidJollyFL @amyklobuchar @tedlie…

Mar 21, 2020 · 2 shares · 3,678 followers View post →
Susan ☆ Whitney ☆ E Pluribus Unum ☆Out of Many,One
@SMBWhitney · X

@nancyneff2 @karolcummins @JoeBiden @maddow @RepMaxineWaters @RepKatiePorter @duty2warn @DavidJollyFL @amyklobuchar @tedlieu @RepJeffries @RWPUSA @repjohnlewis Mar 20, 2020 We need Accurate Data from China but the Chinese Govt is actively more focused on disinformation even today, making it hard to trust their motives let alone data. But we have to find the truth and not give up. https://t.co/XxLJtfzr4V Published: 03 March 2020

Mar 21, 2020 · 1 like · 2 shares · 3,678 followers View post →
Susan ☆ Whitney ☆ E Pluribus Unum ☆Out of Many,One
@SMBWhitney · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.co/XxLJtfzr4V Published: 03 March 2020

Mar 21, 2020 · 1 share · 3,678 followers View post →
covid19 prognosis
@covidprognosis · X

https://t.co/4cu05oYqc3

Mar 20, 2020 · 17 followers View post →
but to a Kwan it was all right
@Ethnopartisan · X

@animecummer Wuhan; unclear if the Jinyintan portion of the sample is distinct from Lancet's. (see supplement): https://t.co/Lh8RQZTqfz https://t.co/KFTovh8R0f

Mar 20, 2020 · 106 followers View post →
Francisco Barbosa E
@panchon_bar · X

RT @rajsinghchohan: References Young et al. 2020 https://t.co/R3x30zjPIK Ai et al. 2020 https://t.co/0c7cEjp1LA Kanne et al. 2020 https…

Mar 20, 2020 · 4 shares · 21 followers View post →
Edgelord Messiah
@diridj · X

@hakovach https://t.co/vV4o3th6QB https://t.co/tRBxyGY7Jc https://t.co/BLkHG5nFvL https://t.co/SsspVJ26mz

Mar 20, 2020 · 1 like · 854 followers View post →
Dr. Nikita Burke
@NikitaNBurke · X

@phrenohead Not much, some suggestion here https://t.co/T46xRNJONM

Mar 20, 2020 · 686 followers View post →
Jonathan Afilalo
@FrailtyMD · X

@isa75012 @yourICM https://t.co/RkiKiXqYOa

Mar 20, 2020 · 1,813 followers View post →
Jim Hancock
@EmpathyHealsU · X

https://t.co/1xCAduk812

Mar 20, 2020 · 13 followers View post →
Vitor Bruno Holanda
@Vitordeholanda · X

Uma grande parcela dos óbitos tiveram envolvimemto cardíaco. Pacientes com comorbidades cardiovasculares evoluem com pior prognóstico. Fonte: https://t.co/IeIBWOIfa0 #care #heart #covid_19… https://t.co/1HLLtw1NZR

Mar 19, 2020 · 2 followers View post →
Ilnomevabenecosì
@G23Mld · X

RT @ILupobianco: @valy_s @cris_cersei @DottAngeloC @G23Mld Non lo ripostate troppo, che sono anche capaci di farlo ritirare https://t.co/lr…

Mar 19, 2020 · 1 share · 6,447 followers View post →
Patty_Rosa
@Patty_Rose_L · X

RT @ILupobianco: @DottAngeloC @Acidelius è lo stesso virus che determina infarti https://t.co/lr1xO6uks2

Mar 19, 2020 · 1 share · 1,943 followers View post →
Dr Marcus Lee
@lidistick · X

https://t.co/Ju19uLgyA8

Mar 19, 2020 · 1 like · 122 followers View post →
Jeffrey Bone
@DrJeffreyBone · X

@DrAricSudicky Wrong question. The question should be, “What can reduce IL-6?” The cure will be a medication/vaccine, but there are likely ways to slow down the cytokines from damaging healthy tissue. This paper specifically mentions elevated IL-6. https://t.co/nHwYyGupqi

Mar 19, 2020 · 4 likes · 1 share · 647 followers View post →
Adriana
@AdriMarquezE · X

RT @MarionKoopmans: 63% of patients that died had underlying conditions, 41% that recovered. Particular impact in persons with cardiovascul…

Mar 19, 2020 · 77 shares · 865 followers View post →
Mónica Vázquez
@Dra_Malvada · X

MAPA de casos de Coronavirus en México https://t.co/Dwrb2gM6yi

Mar 18, 2020 · 1,229 followers View post →
.
@Anygirl99 · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 18, 2020 · 39 shares · 219 followers View post →
ILupo Bianco
@ILupobianco · X

@valy_s @cris_cersei @DottAngeloC @G23Mld Non lo ripostate troppo, che sono anche capaci di farlo ritirare https://t.co/lr1xO6uks2

Mar 18, 2020 · 1 like · 1 share · 1,738 followers View post →
ILupo Bianco
@ILupobianco · X

@DottAngeloC @Acidelius è lo stesso virus che determina infarti https://t.co/lr1xO6uks2

Mar 18, 2020 · 2 likes · 1 share · 1,738 followers View post →
Farhan Izani
@farhanizani_ · X

RT @JohnNosta: Clinical predictors of mortality might be due to virus-activated “cytokine storm syndrome” or fulminant myocarditis. An ana…

Mar 18, 2020 · 9 shares · 554 followers View post →
Ally Catt
@AllegraSgt · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China | SpringerLink https://t.co/k8ZlFOMBHV

Mar 17, 2020 · 331 followers View post →
HopeSeekr
@hopeseekr · X

HERE'S THE STUPID SCIENTIFIC STUDY, YOU FUCKING MORONS! You're costing people their lives going "Oh, your math is shit! Oh you're a fear monger!" https://t.co/yg275hn10y

Mar 17, 2020 · 7 likes · 2,273 followers View post →
Jan Masaryk
@Onkayaks · X

RT @Paulaburgueo1: https://t.co/LH45Bm5t7e

Mar 17, 2020 · 1 share · 2,495 followers View post →
Dustin Hammack
@hammack_dustin · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 17, 2020 · 39 shares · 73 followers View post →
jeevay jeevay PAKISTAN
@Yellow_Blu · X

RT @rajsinghchohan: References Young et al. 2020 https://t.co/R3x30zjPIK Ai et al. 2020 https://t.co/0c7cEjp1LA Kanne et al. 2020 https…

Mar 17, 2020 · 4 shares · 162 followers View post →
ElephantRock67
@y2kpa00 · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 16, 2020 · 39 shares · 309 followers View post →
Matthew Schoenfeld
@MSchoenfeld_MD · X

RT @stephenpanmd: Cardiac injury in #covid19 appears to be real and a serious indicator of adverse outcome. https://t.co/WeomCwCwPE

Mar 16, 2020 · 4 shares · 206 followers View post →
Anna Deveau
@focusblood · X

#COVID19. Should it be treated the same way as #cartcells storm? The results obtained from this study also suggest that COVID-19 mortality might be due to virus-activated “cytokine storm syndrome” or fulminant myocarditis https://t.co/Le1Obfkg5e

Mar 16, 2020 · 1 like · 859 followers View post →
Hyper Wellbeing Innovation Labs, Inc.
@HyperWellbeing · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 16, 2020 · 39 shares · 4,479 followers View post →
Erwin Antelo
@antelo_erwin · X

RT @stephenpanmd: Cardiac injury in #covid19 appears to be real and a serious indicator of adverse outcome. https://t.co/WeomCwCwPE

Mar 16, 2020 · 4 shares · 71 followers View post →
Paula Gómez
@pgrfarma · X

RT @stephenpanmd: Cardiac injury in #covid19 appears to be real and a serious indicator of adverse outcome. https://t.co/WeomCwCwPE

Mar 16, 2020 · 4 shares · 302 followers View post →
Alejandro (Alex) Barbagelata
@barba001barbage · X

Large number of sick COVID19 can have heart failure or myocarditis according to a Wuhan study Intensive Care Med https://t.co/Ok5oWuJEf2 https://t.co/HqsVbWTy9I

Mar 16, 2020 · 822 followers View post →
Elarduspark Physio
@Physio_Elardus · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 16, 2020 · 39 shares · 10 followers View post →
Eugenio Ionescu
@eugenioionescu · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.co/RGMzr8VDGk

Mar 15, 2020 · 568 followers View post →
my2cnts
@cblazblaz · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 15, 2020 · 39 shares · 2,921 followers View post →
Donald Oliver
@donzaoliver · X

RT PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.” (Ruan, Q., Yang, K., Wang, W. et al.… https://t.co/U58vJrvy9w

Mar 15, 2020 · 952 followers View post →
Cherry Creek News
@CherryCreekNews · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 15, 2020 · 39 shares · 2,228 followers View post →
Jenny Chen, M.D.
@radbuzzz · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 15, 2020 · 39 shares · 1,779 followers View post →
garigalAnj
@garigalAnj · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 15, 2020 · 39 shares · 2,375 followers View post →
GeekGoddess
@VarshaBeMe · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 15, 2020 · 39 shares · 292 followers View post →
Scott
@ScottOstr · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 15, 2020 · 39 shares · 749 followers View post →
Kathy M
@kathym919 · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 15, 2020 · 39 shares · 37 followers View post →
mindbodymedicine
@mindbodymedici1 · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 15, 2020 · 39 shares · 2 followers View post →
HCPG
@HCPG · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 15, 2020 · 39 shares · 37,228 followers View post →
Sarah Keffer
@SarahKeffer3 · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 2 followers View post →
Adrian Ibarra
@The1WildRice · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 131 followers View post →
Martha Bellcoff
@Mamabllz · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 89 followers View post →
Isabel Burnett | Renegade Research
@IsabelRamirezRD · X

Posted withregram • @peterattiamd This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.” (Ruan,… https://t.co/gxWt5bWaOg

Mar 14, 2020 · 4,045 followers View post →
Adam Shortt
@adam_shortt · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 135 followers View post →
Murilo Silva Ferraz
@murilosferraz · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 50 followers View post →
Libertarian American
@LibertarianAmer · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 720 followers View post →
GeoffPTCWS
@hasslegeoff77 · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 143 followers View post →
JRoddy
@jrodgv · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 102 followers View post →
Joe Cavallo
@JCavallo972 · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 578 followers View post →
Adam Cohen
@CircusBoy1 · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 1,232 followers View post →
G. Scott
@gscott62 · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 4 followers View post →
Click
@napersveryown · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 793 followers View post →
Mark Bauer
@markbauerwater · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 631 followers View post →
Kr1st0f
@ashlarmarketing · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 1,260 followers View post →
PögnandDestrier
@PognandDestrier · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 204 followers View post →
Orest Bulcano
@dekentro · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 1,033 followers View post →
Sameera Jade Daniels
@JadePinkSameera · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 10,912 followers View post →
Harry Becker
@beckerman004 · X

RT @PeterAttiaMD: This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an…

Mar 14, 2020 · 39 shares · 448 followers View post →
Peter Attia
@PeterAttiaMD · X

This paper is actually a week old, but still very relevant: “Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.” (Ruan, Q., Yang, K., Wang, W. et al.… https://t.co/S3c6XdWbML

Mar 14, 2020 · 138 likes · 39 shares · 501,666 followers View post →
Kris Haamer 漢默可
@krishaamer · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.co/lMc6iIOsJ7

Mar 14, 2020 · 9,898 followers View post →
Lyn Bender❤️‍
@Lynestel · X

RT @Watershedd: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.c…

Mar 14, 2020 · 1 share · 5,289 followers View post →
Watershedd
@Watershedd · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.co/gZXv5ekqVt

Mar 13, 2020 · 1 share · 1,846 followers View post →
Vincenzo Donnarumma
@vdonvin · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 13, 2020 · 42 shares · 111 followers View post →
Joseph Seifert
@Hey_Hey_Joe · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.co/PfTOdnk5RJ

Mar 8, 2020 · 135 followers View post →
ヘルメットをかぶった猫・東日本回遊中
@neko3no3te · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China https://t.co/vKu2IU9VEz

Mar 8, 2020 · 1,043 followers View post →
Dr.Mohamed El Tahan
@tahan_dr · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 8, 2020 · 42 shares · 543 followers View post →
ONG DESINFLÁMATE para la Medicina Social
@ongdesinflamate · X

RT @AcinetoRiver: Súper interesante! Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuh…

Mar 8, 2020 · 5 shares · 705 followers View post →
Dr. Tannahill Glen
@tannahillglen · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China | SpringerLink https://t.co/Og2PXMMtiz

Mar 7, 2020 · 1 like · 1,525 followers View post →
fabio guarracino
@fabiodoc64 · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 7, 2020 · 42 shares · 1,116 followers View post →
Ignacio Silva Ayarza
@Ignacio_Silva_A · X

RT @AcinetoRiver: Súper interesante! Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuh…

Mar 7, 2020 · 5 shares · 2,925 followers View post →
MarcoTarta
@marco_tarta · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 7, 2020 · 42 shares · 242 followers View post →
Area Critica
@Area_Critica_ · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 7, 2020 · 42 shares · 600 followers View post →
Claudia Gonzalez W.
@cmgw2010 · X

RT @AcinetoRiver: Súper interesante! Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuh…

Mar 6, 2020 · 5 shares · 290 followers View post →
Renato Ocampo A
@ocountry2011 · X

RT @AcinetoRiver: Súper interesante! Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuh…

Mar 6, 2020 · 5 shares · 188 followers View post →
Jeannette Dabanch
@Jdabanchpena · X

RT @AcinetoRiver: Súper interesante! Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuh…

Mar 6, 2020 · 5 shares · 10,341 followers View post →
Weary medic
@stolensilver · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China | SpringerLink https://t.co/7l4ZrfaNdF

Mar 6, 2020 · 1 like · 92 followers View post →
Fernando Rios
@drblackriver · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 6, 2020 · 42 shares · 1,023 followers View post →
Gonzalo Rivera
@AcinetoRiver · X

Súper interesante! Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China | SpringerLink https://t.co/yb9w6WrnXQ

Mar 6, 2020 · 5 likes · 5 shares · 486 followers View post →
Billy Bostickson
@BillyBostickson · X

Clinical predictors of mortality due to COVID-19 based on data of 150 patients from Wuhan: "The results from this study suggest that COVID-19 mortality might be due to virus-activated cytokine storm syndrome, respiratory failure or fulminant myocarditis." https://t.co/UQS4SdjmF9 https://t.co/UJI6xzbSn9

Mar 6, 2020 · 1 like · 18,485 followers View post →
TIPS: The IP Strategy
@PreventionTips · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China Results suggest that #COVID19 mortality might be due to virus-activated “cytokine storm syndrome” or fulminant myocarditis READ: https://t.co/MTdINF4R4L https://t.co/nZnuqRCjcE

Mar 6, 2020 · 1 like · 11,584 followers View post →
María Elena González
@nenagoin · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 6, 2020 · 42 shares · 840 followers View post →
Vaccine Safety Initiative
@_VaccineSafety · X

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China | Emphasizing significant risk for adults with underlying cardiovascular conditions https://t.co/xxbYZgVqXe

Mar 6, 2020 · 1,116 followers View post →
PubMed Trending
@PubTrend · X

Trending on PubMed: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. https://t.co/3gvMGOnlsm

Mar 5, 2020 · 5,162 followers View post →
the paper link
@the_paper_link · X

Trend new: *Ruan Q* et al (Intensive Care Med) __Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China__ https://t.co/wTK1O1COlB

Mar 5, 2020 · 136 followers View post →
Iyam Whatiyam.
@El_amorfati · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 5, 2020 · 42 shares · 182 followers View post →
Yaseen Arabi
@YaseenarabiYa · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 5, 2020 · 42 shares · 5,230 followers View post →
ICU Management
@ICU_Management · X

RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

Mar 5, 2020 · 42 shares · 34,082 followers View post →
the paper link
@the_paper_link · X

Trend up+25: *Ruan Q* et al (Intensive Care Med) __Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China__ https://t.co/wTK1O1COlB

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QRS_One
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RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

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Liz Wilcox, MD PhD ATSF
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RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

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RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

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Trend up+100: *Ruan Q* et al (Intensive Care Med) __Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China__ https://t.co/wTK1O1COlB

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Stefano Romagnoli
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RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

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RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

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RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

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Fabio Varon MD. MsC. PhD.
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Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China | SpringerLink https://t.co/leqSBJgres

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Lluis Zapata
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RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

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Ricardo Martínez
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RT @Dr_Cit: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China free read at ht…

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