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

May 2020 Intensive Care Med

Synopsis of Social media discussions

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.

A
Agreement
 Neither agree nor disagree

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

I
Interest
 High level of interest

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

E
Engagement
 Moderate level of engagement

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

I
Impact
 Moderate level of impact

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

Social Mentions

YouTube

2 Videos

Facebook

8 Posts

Twitter

190 Posts

Blogs

14 Articles

News

99 Articles

Metrics

Video Views

1,545

Total Likes

380

Extended Reach

1,004,652

Social Features

313

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Identifying High-Risk COVID-19 Patients for Better Outcomes

Identifying High-Risk COVID-19 Patients for Better Outcomes

A study analyzed data from 150 COVID-19 patients in Wuhan to identify clinical factors predicting mortality. Key predictors included older age and severe respiratory symptoms at admission. Understanding these indicators is crucial for improving treatment and patient outcomes.

Just Thinking Out Loud with Desi-Rae

March 14, 2020

1,536 views

Covid 19 Boosting Immunity

Covid 19 Boosting Immunity

Functional Health Center with Dr. Corey Riser

April 22, 2020

9 views

  • Kasai
    @sportwettenmann (Twitter)

    @kraichtaler @julian_spiegler @frei_geist_ @schizoswoche Was irrelevant ist entscheidest du?
    view full post

    July 24, 2024

  • Ghost of Corkey
    @GhostOfCorkey (Twitter)

    @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?
    view full post

    August 5, 2023

  • 1Cademy
    @1Cademy (Twitter)


    view full post

    April 19, 2023

  • THINK
    @eroded1 (Twitter)

    @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
    view full post

    January 12, 2023

  • waqar dahri
    @Dahri85Waqar (Twitter)

    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…
    view full post

    March 18, 2022

    2

  • Muskrat Elmo, Muskrat Don
    @HawkInATX (Twitter)

    @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
    view full post

    March 17, 2022

    2

  • Isatou Sarr
    @IsatouSarr4 (Twitter)

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

    April 27, 2021

    1

  • Karen Igaña-Daan
    @karenagi (Twitter)

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

    February 7, 2021

    5

  • Syed Shahrul Naz
    @drshahrul80 (Twitter)

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

    February 6, 2021

    5

  • DASAIM
    @DASAIMdk (Twitter)

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

    February 6, 2021

    5

  • Erik Rafflenbeul
    @KardiologieHH (Twitter)

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

    February 6, 2021

    5

  • Yvelynne Kelly
    @YvelynneKelly (Twitter)

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

    February 6, 2021

    5

  • Intensive Care Medicine
    @yourICM (Twitter)

    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
    view full post

    February 6, 2021

    12

    5

  • COVID Impact
    @CovidSerology (Twitter)

    @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
    view full post

    September 30, 2020

  • COVID Impact
    @CovidSerology (Twitter)

    @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
    view full post

    August 27, 2020

    1

  • مروری بر کووید-۱۹
    @Covid19_Review (Twitter)

    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
    view full post

    August 26, 2020

  • Victor
    @viciykevin (Twitter)

    @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
    view full post

    August 25, 2020

  • COVID Impact
    @CovidSerology (Twitter)

    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
    view full post

    August 9, 2020

    3

  • Professor Jarryd Willis PhD
    @DrJarryd (Twitter)

    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 )
    view full post

    July 24, 2020

  • Dei
    @IDeiniol (Twitter)

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

    July 8, 2020

  • V. Cheianov, Esq.
    @cheianov (Twitter)

    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/
    view full post

    June 24, 2020

  • wouldnt you like to know
    @countrygirlgta (Twitter)

    @StevePhillipsMD @JamesTodaroMD https://t.co/B9uD2uWCRi
    view full post

    June 21, 2020

  • ASKombo_PhD Nursing
    @kombooo2012 (Twitter)

    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
    view full post

    May 31, 2020

  • DonP OP
    @D_PedroOP (Twitter)

    @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
    view full post

    May 13, 2020

  • Rumi Khan
    @RumiKhanMD (Twitter)

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

    May 5, 2020

    37

  • jameson
    @otherjameson (Twitter)

    "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
    view full post

    April 28, 2020

    1

  • wouldnt you like to know
    @countrygirlgta (Twitter)

    @fordnation https://t.co/B9uD2uWCRi
    view full post

    April 27, 2020

  • Paola Morejón Barragán
    @paomorejon (Twitter)

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

    April 20, 2020

    5

    4

  • krillekrill
    @WebKrillekrill (Twitter)

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

    April 19, 2020

    2

  • A
    @ALinnean1000 (Twitter)

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

    April 19, 2020

    2

  • von Blåbär
    @vonBlabar (Twitter)

    @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
    view full post

    April 19, 2020

    2

    2

  • 浜菊会
    @hamagikukai (Twitter)

    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
    view full post

    April 17, 2020

  • Predimed
    @Predimed_techno (Twitter)

    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
    view full post

    April 14, 2020

  • LA CHAMADE ‏
    @LChamade (Twitter)

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

    April 14, 2020

    2

  • CHRU Strasbourg
    @CHRUStrasbourg (Twitter)

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

    April 14, 2020

    2

  • ILupo Bianco
    @ILupobianco (Twitter)

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

    April 12, 2020

    5

  • ILupo Bianco
    @ILupobianco (Twitter)

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

    April 12, 2020

  • Syed Shahrul Naz
    @drshahrul80 (Twitter)

    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…
    view full post

    April 12, 2020

    42

  • Lourdes
    @nurneaj (Twitter)

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

    April 11, 2020

    3

  • ILupo Bianco
    @ILupobianco (Twitter)

    @Ussignur_ https://t.co/RImw7cN29J
    view full post

    April 9, 2020

  • Elias Said, MD, FACEP
    @MdFacep (Twitter)

    @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
    view full post

    April 9, 2020

    8

  • Steve Gardner
    @SteveJGardner (Twitter)

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

    April 8, 2020

  • Clau Sarosky
    @zionclau (Twitter)

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

    April 8, 2020

    3

  • Leonor Vásquez MD
    @LeitoVr (Twitter)

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

    April 8, 2020

    3

  • LabGenetics
    @labgeneticsbol (Twitter)

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

    April 7, 2020

  • Angela Uyen Cateriano MD, MsC,MBA, MA.IR
    @AnGeLaUyEn (Twitter)

    @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
    view full post

    April 7, 2020

    3

  • Alexander Barrios S
    @mprimerpediatra (Twitter)

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

    April 6, 2020

    3

  • carolina grela
    @ricarogrela (Twitter)

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

    April 6, 2020

    3

  • Ruvistay Gutiérrez
    @ruvistay (Twitter)

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

    April 6, 2020

    3

  • SECIP
    @lasecip (Twitter)

    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
    view full post

    April 6, 2020

    2

    3

  • Bollito de canela
    @chicles__ (Twitter)

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

    April 5, 2020

    1

  • Franck Gabriel
    @FranckGabriel6 (Twitter)

    @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
    view full post

    April 5, 2020

  • Arnaldo Báez Neris
    @jsbaez529 (Twitter)

    @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
    view full post

    April 5, 2020

  • Arnaldo Báez Neris
    @jsbaez529 (Twitter)

    https://t.co/x8SEFt9d9i
    view full post

    April 5, 2020

  • LeAnne LawtonTancred
    @LeAnneTancred (Twitter)

    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
    view full post

    April 2, 2020

  • Edward Leigh
    @EdwardALeigh (Twitter)

    @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
    view full post

    April 2, 2020

  • Veni
    @venancio_veni (Twitter)

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

    April 2, 2020

    5

  • Carlos Alcantara
    @calcantarar2205 (Twitter)

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

    April 2, 2020

    5

  • Michael Barkett
    @MichaelB_MD (Twitter)

    https://t.co/8gnRJcwiWe https://t.co/XDRDLKiPKJ
    view full post

    April 2, 2020

    2

    1

  • Angela Uyen Cateriano MD, MsC,MBA, MA.IR
    @AnGeLaUyEn (Twitter)

    @nextaxboy @zombienietzsche https://t.co/pxoRHhoqwB
    view full post

    April 1, 2020

    3

  • Alfonso Gutiérrez Macías
    @alguma666 (Twitter)

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

    March 30, 2020

    5

  • Tati
    @TatiPicazo (Twitter)

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

    March 30, 2020

    5

  • Anupam Jaina
    @anupamjaina (Twitter)

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

    March 30, 2020

    4

  • Trevor D. McKee PhD
    @tdmckee (Twitter)

    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
    view full post

    March 29, 2020

  • Pedro mendez
    @Pedro64mendez (Twitter)

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

    March 29, 2020

    5

  • Salva García Morillo PhD. MD.
    @UCAMIraras (Twitter)

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

    March 29, 2020

    10

    5

  • drPatricioReyPsiquiatra
    @drpatriciorey (Twitter)

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

    March 28, 2020

  • vacunese por favor
    @EDiegorojas84 (Twitter)

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

    March 28, 2020

    1

  • Romain Brunel
    @DrRomainBrunel (Twitter)

    @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)
    view full post

    March 28, 2020

    2

    1

  • Syed Shahrul Naz
    @drshahrul80 (Twitter)

    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…
    view full post

    March 27, 2020

    42

  • Ahmet Kıraç
    @ahmetkirac (Twitter)

    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
    view full post

    March 26, 2020

  • (((TheTracker)))
    @IdiotTracker (Twitter)

    @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
    view full post

    March 26, 2020

    2

  • David Gallardo-Pujol
    @gallardopujol (Twitter)

    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
    view full post

    March 26, 2020

    7

  • Law
    @lawrencewlee (Twitter)

    @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
    view full post

    March 25, 2020

  • Mark Gibson
    @mdjgibson (Twitter)

    @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
    view full post

    March 25, 2020

    8

    3

  • LdGülbaran
    @mioagnusdei (Twitter)

    @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
    view full post

    March 25, 2020

  • Alnardo Lora
    @crzydoc (Twitter)

    @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
    view full post

    March 25, 2020

    1

  • Rama El-Yafawi
    @rama_elyafawi (Twitter)

    @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
    view full post

    March 22, 2020

    1

  • Matt Lattman
    @MattLatt (Twitter)

    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
    view full post

    March 22, 2020

  • Tariq Al-Shimmari
    @asteamincupoft (Twitter)

    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
    view full post

    March 22, 2020

    1

  • Wojtek Chwala
    @wojtekchwala (Twitter)

    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
    view full post

    March 21, 2020

  • Julia B.
    @JuliaB_fitness (Twitter)

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

    March 21, 2020

    1

  • N. Tany
    @N99tany (Twitter)

    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
    view full post

    March 21, 2020

    1

  • James Dalton
    @jamesdalton1980 (Twitter)

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

    March 21, 2020

    37

  • Susan ☆ Whitney ☆ E Pluribus Unum ☆Out of Many,One
    @SMBWhitney (Twitter)

    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…
    view full post

    March 21, 2020

    1

  • nancy neff
    @nancyneff2 (Twitter)

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

    March 21, 2020

    2

  • Susan ☆ Whitney ☆ E Pluribus Unum ☆Out of Many,One
    @SMBWhitney (Twitter)

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

    March 21, 2020

    2

  • Susan ☆ Whitney ☆ E Pluribus Unum ☆Out of Many,One
    @SMBWhitney (Twitter)

    @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
    view full post

    March 21, 2020

    1

    2

  • Susan ☆ Whitney ☆ E Pluribus Unum ☆Out of Many,One
    @SMBWhitney (Twitter)

    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
    view full post

    March 21, 2020

    1

  • covid19 prognosis
    @covidprognosis (Twitter)

    https://t.co/4cu05oYqc3
    view full post

    March 20, 2020

  • but to a Kwan it was all right
    @Ethnopartisan (Twitter)

    @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
    view full post

    March 20, 2020

  • Francisco Barbosa E
    @panchon_bar (Twitter)

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

    March 20, 2020

    4

  • Edgelord Messiah
    @diridj (Twitter)

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

    March 20, 2020

    1

  • Dr. Nikita Burke
    @NikitaNBurke (Twitter)

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

    March 20, 2020

  • Jonathan Afilalo
    @FrailtyMD (Twitter)

    @isa75012 @yourICM https://t.co/RkiKiXqYOa
    view full post

    March 20, 2020

  • Jim Hancock
    @EmpathyHealsU (Twitter)

    https://t.co/1xCAduk812
    view full post

    March 20, 2020

  • Vitor Bruno Holanda
    @Vitordeholanda (Twitter)

    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
    view full post

    March 19, 2020

  • Ilnomevabenecosì
    @G23Mld (Twitter)

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

    March 19, 2020

    1

  • Patty_Rosa
    @Patty_Rose_L (Twitter)

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

    March 19, 2020

    1

  • Dr Marcus Lee
    @lidistick (Twitter)

    https://t.co/Ju19uLgyA8
    view full post

    March 19, 2020

    1

  • Jeffrey Bone
    @DrJeffreyBone (Twitter)

    @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
    view full post

    March 19, 2020

    4

    1

  • Adriana
    @AdriMarquezE (Twitter)

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

    March 19, 2020

    77

  • Mónica Vázquez
    @Dra_Malvada (Twitter)

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

    March 18, 2020

  • .
    @Anygirl99 (Twitter)

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

    March 18, 2020

    39

  • ILupo Bianco
    @ILupobianco (Twitter)

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

    March 18, 2020

    1

    1

  • ILupo Bianco
    @ILupobianco (Twitter)

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

    March 18, 2020

    2

    1

  • Farhan Izani
    @farhanizani_ (Twitter)

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

    March 18, 2020

    9

  • Ally Catt
    @AllegraSgt (Twitter)

    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
    view full post

    March 17, 2020

  • HopeSeekr
    @hopeseekr (Twitter)

    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
    view full post

    March 17, 2020

    7

  • Jan Masaryk
    @Onkayaks (Twitter)

    RT @Paulaburgueo1: https://t.co/LH45Bm5t7e
    view full post

    March 17, 2020

    1

  • Dustin Hammack
    @hammack_dustin (Twitter)

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

    March 17, 2020

    39

  • jeevay jeevay PAKISTAN
    @Yellow_Blu (Twitter)

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

    March 17, 2020

    4

  • ElephantRock67
    @y2kpa00 (Twitter)

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

    March 16, 2020

    39

  • Matthew Schoenfeld
    @MSchoenfeld_MD (Twitter)

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

    March 16, 2020

    4

  • Anna Deveau
    @focusblood (Twitter)

    #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
    view full post

    March 16, 2020

    1

  • Hyper Wellbeing Innovation Labs, Inc.
    @HyperWellbeing (Twitter)

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

    March 16, 2020

    39

  • Erwin Antelo
    @antelo_erwin (Twitter)

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

    March 16, 2020

    4

  • Paula Gómez
    @pgrfarma (Twitter)

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

    March 16, 2020

    4

  • Alejandro (Alex) Barbagelata
    @barba001barbage (Twitter)

    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
    view full post

    March 16, 2020

  • Elarduspark Physio
    @Physio_Elardus (Twitter)

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

    March 16, 2020

    39

  • Eugenio Ionescu
    @eugenioionescu (Twitter)

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

    March 15, 2020

  • my2cnts
    @cblazblaz (Twitter)

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

    March 15, 2020

    39

  • Donald Oliver
    @donzaoliver (Twitter)

    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
    view full post

    March 15, 2020

  • Cherry Creek News
    @CherryCreekNews (Twitter)

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

    March 15, 2020

    39

  • Jenny Chen, M.D.
    @radbuzzz (Twitter)

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

    March 15, 2020

    39


  • @garigalAnj (Twitter)

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

    March 15, 2020

    39

  • GeekGoddess
    @VarshaBeMe (Twitter)

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

    March 15, 2020

    39

  • Scott
    @ScottOstr (Twitter)

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

    March 15, 2020

    39

  • Kathy M
    @kathym919 (Twitter)

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

    March 15, 2020

    39

  • mindbodymedicine
    @mindbodymedici1 (Twitter)

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

    March 15, 2020

    39

  • HCPG
    @HCPG (Twitter)

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

    March 15, 2020

    39

  • Sarah Keffer
    @SarahKeffer3 (Twitter)

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

    March 14, 2020

    39

  • Adrian Ibarra
    @The1WildRice (Twitter)

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

    March 14, 2020

    39

  • Martha Bellcoff
    @Mamabllz (Twitter)

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

    March 14, 2020

    39

  • Isabel Burnett | Renegade Research
    @IsabelRamirezRD (Twitter)

    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
    view full post

    March 14, 2020

  • Adam Shortt
    @adam_shortt (Twitter)

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

    March 14, 2020

    39

  • Murilo Silva Ferraz
    @murilosferraz (Twitter)

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

    March 14, 2020

    39

  • Libertarian American
    @LibertarianAmer (Twitter)

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

    March 14, 2020

    39

  • GeoffPTCWS
    @hasslegeoff77 (Twitter)

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

    March 14, 2020

    39

  • JRoddy
    @jrodgv (Twitter)

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

    March 14, 2020

    39

  • Joe Cavallo
    @JCavallo972 (Twitter)

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

    March 14, 2020

    39

  • Adam Cohen
    @CircusBoy1 (Twitter)

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

    March 14, 2020

    39

  • G. Scott
    @gscott62 (Twitter)

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

    March 14, 2020

    39

  • Click
    @napersveryown (Twitter)

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

    March 14, 2020

    39

  • Mark Bauer
    @markbauerwater (Twitter)

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

    March 14, 2020

    39

  • Kr1st0f
    @ashlarmarketing (Twitter)

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

    March 14, 2020

    39

  • PögnandDestrier
    @PognandDestrier (Twitter)

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

    March 14, 2020

    39

  • Orest Bulcano
    @dekentro (Twitter)

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

    March 14, 2020

    39

  • Sameera Jade Daniels
    @JadePinkSameera (Twitter)

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

    March 14, 2020

    39

  • Harry Becker
    @beckerman004 (Twitter)

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

    March 14, 2020

    39

  • Peter Attia
    @PeterAttiaMD (Twitter)

    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
    view full post

    March 14, 2020

    138

    39

  • Kris Haamer 漢默可
    @krishaamer (Twitter)

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

    March 14, 2020

  • Lyn Bender❤️‍
    @Lynestel (Twitter)

    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…
    view full post

    March 14, 2020

    1


  • @Watershedd (Twitter)

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

    March 13, 2020

    1

  • Vincenzo Donnarumma
    @vdonvin (Twitter)

    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…
    view full post

    March 13, 2020

    42

  • Joseph Seifert
    @Hey_Hey_Joe (Twitter)

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

    March 8, 2020

  • ヘルメットをかぶった猫・東日本回遊中
    @neko3no3te (Twitter)

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

    March 8, 2020

  • Dr.Mohamed El Tahan
    @tahan_dr (Twitter)

    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…
    view full post

    March 8, 2020

    42

  • ONG DESINFLÁMATE para la Medicina Social
    @ongdesinflamate (Twitter)

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

    March 8, 2020

    5

  • Dr. Tannahill Glen
    @tannahillglen (Twitter)

    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
    view full post

    March 7, 2020

    1

  • fabio guarracino
    @fabiodoc64 (Twitter)

    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…
    view full post

    March 7, 2020

    42

  • Ignacio Silva Ayarza
    @Ignacio_Silva_A (Twitter)

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

    March 7, 2020

    5

  • MarcoTarta
    @marco_tarta (Twitter)

    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…
    view full post

    March 7, 2020

    42

  • Area Critica
    @Area_Critica_ (Twitter)

    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…
    view full post

    March 7, 2020

    42

  • Claudia Gonzalez W.
    @cmgw2010 (Twitter)

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

    March 6, 2020

    5

  • Renato Ocampo A
    @ocountry2011 (Twitter)

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

    March 6, 2020

    5

  • Jeannette Dabanch
    @Jdabanchpena (Twitter)

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

    March 6, 2020

    5

  • Weary medic
    @stolensilver (Twitter)

    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
    view full post

    March 6, 2020

    1

  • Fernando Rios
    @drblackriver (Twitter)

    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…
    view full post

    March 6, 2020

    42

  • Gonzalo Rivera
    @AcinetoRiver (Twitter)

    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
    view full post

    March 6, 2020

    5

    5

  • Billy Bostickson
    @BillyBostickson (Twitter)

    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
    view full post

    March 6, 2020

    1

  • TIPS: The IP Strategy
    @PreventionTips (Twitter)

    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
    view full post

    March 6, 2020

    1

  • María Elena González
    @nenagoin (Twitter)

    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…
    view full post

    March 6, 2020

    42

  • Vaccine Safety Initiative
    @_VaccineSafety (Twitter)

    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
    view full post

    March 6, 2020

  • PubMed Trending
    @PubTrend (Twitter)

    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
    view full post

    March 5, 2020

  • the paper link
    @the_paper_link (Twitter)

    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
    view full post

    March 5, 2020

  • Iyam Whatiyam.
    @El_amorfati (Twitter)

    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…
    view full post

    March 5, 2020

    42

  • Yaseen Arabi
    @YaseenarabiYa (Twitter)

    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…
    view full post

    March 5, 2020

    42

  • ICU Management
    @ICU_Management (Twitter)

    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…
    view full post

    March 5, 2020

    42

  • the paper link
    @the_paper_link (Twitter)

    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
    view full post

    March 4, 2020

  • QRS_One
    @robperf (Twitter)

    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…
    view full post

    March 4, 2020

    42

  • Liz Wilcox, MD PhD ATSF
    @1791_mew (Twitter)

    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…
    view full post

    March 4, 2020

    42

  • ONG DESINFLÁMATE para la Medicina Social
    @ongdesinflamate (Twitter)

    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…
    view full post

    March 4, 2020

    42

  • the paper link
    @the_paper_link (Twitter)

    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
    view full post

    March 4, 2020

  • Stefano Romagnoli
    @StefanoRomagno9 (Twitter)

    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…
    view full post

    March 4, 2020

    42

  • Benito Navarrete
    @BenNavarrete (Twitter)

    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…
    view full post

    March 4, 2020

    42

  • zaccaria ricci
    @RicciZaccaria (Twitter)

    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…
    view full post

    March 4, 2020

    42

  • Fabio Varon MD. MsC. PhD.
    @FABIOVARON (Twitter)

    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
    view full post

    March 4, 2020

    1

  • Lluis Zapata
    @lluiszf (Twitter)

    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…
    view full post

    March 4, 2020

    42

  • Ricardo Martínez
    @riccmartinez (Twitter)

    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…
    view full post

    March 4, 2020

    42

Abstract Synopsis

  • 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.