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Aug 17, 2022 9 tweets 5 min read Read on X
1/ What are 3 Qs you can ask yourself when looking at non-inferiority trials?

Q1) Was the trial planned i.e. pre-specified as comparing an intervention which is non-inferior to control?

WHY?

Bc changing the analysis *afterwards* introduces bias #StatswithCoreIM
2/ Q2) was the control treatment administered to the full std of care?

The trial relies on strict adherence to full standard of care for the control arm, otherwise the whole confidence interval shifts with a relative⬆️in benefit of the intervention compared to control
3/ Q3) Did investigators perform both a per protocol and intention to treat analysis?

Per protocol:
Exaggerates group difference when intervention is inferior
Less likely to result in false positive

Intention to treat:
Makes groups prognostically 🟰
Benefit of randomization
4/ Now, let's dive deeper into how the non-inferiority margin is chosen?
5/ What are the implications of the non-inferiority margin?

Let’s use an example!

The EXCEL trial asked if PCI is non-inferior to CABG in the treatment of left main disease for primary endpoint of death, stroke, or MI

The non-inferiority margin was determined to be 4.2%.
6/ At 3 years of follow-up, 15.4% of PCI patients vs. 14.7% of CABG patients experienced a primary end-point event (death, stroke, MI).

The between-group difference was 0.7%
7/ Non-inferiority margin of 4.2% meant that non-inferiority was demonstrated (p=0.02) BUT

- Worse case 4.2% more pts with PCI may suffer an adverse event compared to CABG
- On average 0.7% more pts have an event with PCI

So, reasonable to choose CABG over PCI in low risk pts
8/ Finally, take home points:

Sources of biases:
✔️Retroactive or re-analysis of superiority trial as non-inferiority
✔️Substandard care in control group
✔️Failure to perform both per protocol & intention to treat

Think critically about the non-inferiority margin!
9/ That’s all for #StatswithCoreIM. Thanks for learning some #biostatistics with us this Wednesday and big shout-out to the author with this byte Dr. Robert Wharton and graphics by @ivannatang

For more #noninferiority trials byte:

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More from @COREIMpodcast

Jun 5
1/ 🚨 NEW #5Pearls on HFpEF!

HFpEF is:
- Clinical syndrome of heart failure w/ EF 50%+
- ☂️ term | Heterogeneous disease 

HFpEF is NOT:
- Classic high BP, causing stiff ventricles

🖥️ :
ACP CME:
Sponsor:  coreimpodcast.com/2024/06/05/hfp…
bit.ly/CIMCME
coreimpodcast.com/Freed
Image
2/ Clinically, HFpEF is:

🫀Dyspnea on exertion
🫀PND
🫀Orthopnea
🫀Fatigue
🫀Exercise intolerance
🫀JVD
🫀Pulmonary rales
🫀LE edema
3/ On echo, HFpEF is NOT:
🫀Just diastolic dysfunction

**Diastolic dysfunction CAN be seen in HFpEF 

But, it was not observed on resting echocardiograms of ⅓ of HFpEF patients in the Paragon-HF trial ‼️
Read 7 tweets
May 13
1/ 🚨 NEW #5Pearls episode on Cardiorenal Considerations 🫀🫘

So many diuretic options, so which to choose and why?

Use the toolkit ⤵️ for all your diuresis needs!

🖥️:
CME: 
Sponsor:  bit.ly/3wx8tnB
bit.ly/CIMCME
coreimpodcast.com/Freed
Image
2/ Not all AKI in heart failure is cardiorenal syndrome!

In pure cardiorenal, expect a “bland” UA with no:
🥩 Protein
🩸 Blood
🦠 Granular or other cell casts!

**Remember, keep a broad differential for AKI
3/ You suspect volume overload in a patient…what dose of diuretic do you start with?

2.5x their home dose of diuretic (in IV form)!

IV options include:
💉 Furosemide
💉 Bumetanide

**Bumetanide drip at higher doses is associated with myalgias
Read 9 tweets
Jun 8, 2023
1/ Time for #12LeadThursday!

What’s the axis and do you notice anything about the precordial leads? Image
2/ What do you see on ECG to identify extreme axis deviation?

Negative deflection in lead I + negative deflection in aVF = extreme axis deviation Image
3/ What about the precordial leads?

Do you notice dominant R waves, S waves, or T-wave inversions? Image
Read 5 tweets
Apr 13, 2023
1/ What better way to end off a week of pacemakers and ICDs than recapping and revisiting our #12LeadThursday series!

🧵 Image
2/ Which patients get pacemakers?

Think of 2 big buckets: conduction disease and heart failure Image
3/ Let’s start with conduction disease!

Refresh your memory with this past byte - 80 y/o M with hx of CABG…what's the rhythm?
bit.ly/40cAry0
Read 15 tweets
Jan 18, 2023
1/ Atrial Fibrillation: #GrayMatters Series

What do you do with that episode of #Afib when sick or post-op in the hospital?

What type of monitoring is best?

🎧: link.chtbl.com/Afib
🗒️: bit.ly/3QPiLFt
CME: bit.ly/CIMCME
Sponsor: go.amboss.com/CoreIM-E9
2/ When do you start AC for new Afib post-op?

We hope this infographic will be handy for the many times we may be in the gray zone!

From @accpchest guidelines

A few things to consider:
🤔 Patient specific risk
🤔 Blood thinner of choice
🤔 Bleeding risk of the surgery
3/ Credit to the team that worked tirelessly on this!

Hosts: Dr. Nick Villano, @Ali_Trainor, @FreedoBaggins
Off-air producer: @ShreyaTrivediMD
Experts: @jasonmatosmd, @PoojaJagadishMD, @gregorykatz
Graphic: Josie Levey

🎧:link.chtbl.com/Afib

coreimpodcast.com/2023/01/18/dia…
Read 5 tweets
Dec 15, 2022
1/🚨New Episode🚨
The Lipid Panel Reimagined: #MindtheGap Segment

How do you interpret the #lipidpanel to help inform patients' risk for #cardiovascular disease? Do you use #ApoB? 🧐

🎧: link.chtbl.com/Lipids
Sponsor: go.amboss.com/CoreIM-E8
2/ Unfortunately, our patient is stuck in "bumper-to-bumper" #cholesterol traffic 🚗!

See traffic analogy to understand why ApoB can give us information that LDL-C may not:

#Mindblown! 🤯
3/ Overall, LOWER ⬇️ is better for both #LDL-C and #ApoB in terms of reducing #CV disease risk!

But #discordance between LDL-C vs. ApoB is actually quite common!

Take a look at the orange line to see how ApoB confers a higher CVD risk over time 👇
Read 5 tweets

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