Wong yujun Profile picture
Jun 24 7 tweets 12 min read
🔥#ACLF-3: early vs late transplant @JosephAlukal

👉UNOS database: n=3,498
✅Better 90-day and 1-year survival for early LTx (<7 days)
🤔 Selection bias who goes for early vs late LTx?

#ILC2022 #Livertwitter @EASLedu @EASLnews
@VinaySundaramMD @RajivJalan1 @DrLiver @ebtapper
🔥Urine NGAL predicts response to Terlipressin/albumin in HRS by Dr Carmine Gambino

N=162 #cirrhosis, 🇮🇹
AKI>48hrs
urine NGAL:
⏫ ATN-AKI
⬇️ in Terli responders
💡NGAL>220 predict 90-day Mortality (AUROC: 0.85)

#ILC2022 #Livertwitter @salvatore_piano @ProfPaoloAngeli
Hospitalized #cirrhosis 🌎 study by @JasmohanBajaj
n=1,383,

✅Inpatient mortality 15%
✅Inpatient transplant 3%
✅MELD-NA, infection predicts #organ failures (🧠,🫁,🫀, AKI)

👉Better outcomes in high-income countries #disparity

#ILC2022 #Livertwitter @ashok_doctor
Can urine biomarkers (CysC & uNGAL) predict AKI? by Dr Rakhi Maiwall

n=369 #cirrhosis, 🇮🇳
✅urine CysC & nGAL
🎯 AKI by D7, CKD
👉AKI at D7 80%, CKD 46%
⏫ uGAL & alcohol predict AKI at D7

#ILC2022 #Livertwitter
🤔Can ammonia predict #ACLF in stable outpt #cirrhosis? by Dr Maria Pilar Ballester

✅Most have portalHTN, 11% had #ACLF

💡Ammonia >1,4xULM predict:
✅Organ failures (liver, kidney,🧠 , 🫁 )
#ACLF grade
⏫Mortality

#ILC2022 #Livertwitter @DebbieShawcros1 @RajivJalan1

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More from @wong_yujun

Jun 25
#AIH treatment by Dr Christina Weiler-Normann #ILC2022

👉Definition of endpoints:
✅Complete response: Normal ALT & IgG (<6m)
⛔️Non-response: <50% down in ALT (<4w)
🎯Remission: HAI<4/18 (12m)

#LiverTwitter @joostphdrenth @EASLedu @EASLnews @AutoImmuneLiver @analleo
#AIH treatment by Dr Christina Weiler-Normann #ILC2022

Be aware of AEs:
👉Doctors underestimate AEs in patients (60% with steroid)
✅A lower dose steroid may be as good

🤔PROs as #AIH endpoints in future?

#LiverTwitter @joostphdrenth @analleo @EASLedu ImageImage
AS-AIH treatment by Dr Elenora De martin #ILC2022

🔮Response predictors:
Who?
👉Labs-INR/MELD
✅Radiological (Liver volume, cirrhosis?)
⛔️Clinical (HE 3-4, ascites)

💀Identify non-responder: SURFASA score: Day 3-7
✅Bactrim prophylaxis

#LiverTwitter @joostphdrenth @EASLnews ImageImage
Read 5 tweets
Jun 25
💩Gut microbiome in 🍺 by @Bernd_Schnabl

✅Untargeted:
Bugs as Drug: FMT, Probiotics:⏬ cravings @theliverdr
Drug the Bug: Rifaximin DOI: 10.1111/liv.15207

✅Targetted:
Bugs as Drug: engineered bacteria⏫IL-22

#LiverTwitter @aelsharkawy75 @jturnesv @EASLnews
✅Liver biopsy for #alcohol hepatitis
- Avoid misclassification (decomp vs alc hep)
- Avoid unnecessary steroid
- Precise fibrosis staging

⛔️Liver biopsy for🍺 hep
-? Reproducible biopsy (k<0.7)
- Access to biopsy
- Clinical diagnosis maybe as 👍

Whats' your take?😄#ILC2022
Read 6 tweets
Jun 25
🔥NIT among #NAFLD in T2DM by @JeromeBoursier #ILC2022

n=1,051 biopsy-proven NAFLD
6 NITs - NFS, FIB4, VCTE, Fibrotest, Fibrometer & blood+VCTE
✅Performance⏬in T2DM

✅Approach:
- non-T2DM: FIB4 -> VCTE
- T2DM: VCTE / Fibrometer > Fibrometer

#LiverTwitter Image
🤔Impact on #NAFLD/NASH trials?
👍Enrich-approach in patient selection

#ILC2022 @EASLedu @EASLnews #LiverTwitter @IanARowe @DrLoomba @NASH_and_coffee
🔥MEFIB vs MAST vs FAST to detect #NAFLD >F2 by @DrLoomba at #ILC2022

✅n=563 biopsy-proven NAFLD
Sig fibrosis 51.2%, DM 50%
🎯AUROC using rule-in/out criteria

🏆MEFIB > MAST or FAST to identify F2 NAFLD

#LiverTwitter @EASLnews @EASLedu ImageImage
Read 4 tweets
Jun 23
🌎Global CLEARED registry by @JasmohanBajaj

n=1,383; Reason for admission: GI bleeding🩸, HE🧠
✅Infection🦠: 25%
✅AKI: 46%
✅30-D Readmission: 33%
🪦30-D Mortality: 33%
😟Transplant: 11%

#ILC2022 #LiverTwitter @EASLedu
Recruitment/selection policy on post-LTx in ACLF-3 by Dr Thierry 🇫🇷

🪦3-year survival: ACLF-3 ⬇️ 66% vs 82%
✅Volume ⏫, survival ⏫
✅Survival gap diminished btw #ACLF-3 vs non-AC LF 3👍

How?

💡MDT, post-ICU care, TAM score, surgery/anes
✅ICU network (list from ICU)
#ILC2022
⛔️When not to transplant #ACLF-3?

Combination of:
💡Age, Lactate, MDR infection, Respiratory

Give⏲️

#ILC2022 #Livertwitter
Read 5 tweets
Jun 23
📢Personalized medicine in #NAFLD by @DrLoomba

✅Current gaps in #NAFLD:
- Rapid progressors
- non-cirrhotic HCC

😧At risk NASH (F2 beyond)? Try these👇
✅FAST (low PPV) - exclude biopsy
✅MAST (PPV 91-97) - rule-in & treat
✅MEFIB (AUROC 0.9)

#ILC2022 #Livertwitter @EASLedu
Personalized medicine in #NAFLD by @DrLoomba

🔥Gut microbiome (AUROC 0.936)
- Detect advanced #fibrosis
- Identify 1st-degree relative with #cirrhosis (ethnically universal)
👉DOI: 10.1016/j.cmet.2020.06.005

- FGF19 treatment response in #NASH

#ILC2022 #LiverTwitter @EASLedu
Personalized #NASH treatment by @DrLoomba

Choose yr drugs based on🎯
#Fibrosis reversal vs #NASH resolution?

✅Combination = way forward. Why?
⏫Efficacy
⏬Dose ( ?potentially ⏬AE)

#ILC2022 #LiverTwitter @jturnesv @aelsharkawy75 @IanARowe @DharJahnvi @drshafikuchay
Read 4 tweets
Jun 22
Improving MELD by @elizebeth_verna

🤔Why changes are needed MELD allocation? 👇

1) Changing epidemiology of cirrhosis (⏬HCV, ⏫Alcohol/NASH)
2) Creatinine - under-estimate kidney injury esp female
3) 🔼Female wait-list mortality

#ILC2022 #Livertwitter @EASLedu
Evolution of MELD

🤔What's new in MELD 3.0?
- Gender, albumin, bilirubin

✅Advantages:
- ⏬Gender-based disparity (sex & height)
- ⏬Creatinine cap
- 👍Adjust for Interaction bil-NA & creatinine-albumin

#ILC2022 #Livertwitter @elizabeth_verna @EASLedu
🔥Beyond MELD:

✅ Better predict kidney injury (nGAL) & reversibility
✅ Clinical predictor: ACLF, frailty (LFI) ?sarcopenia
✅ AI (data source? biological plausibility?)
✅ Focus on transplant benefit score > wait-list mortality

#ILC2022 #Livertwitter @elizebeth_verna
Read 4 tweets

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