Hello!
I'm finishing up my dissertation now and am on the US post-doc market in clinical psychology so I'd appreciate any leads.

My interests are reinforcement sensitivity, depression/anxiety, and LGBTQ+ mental health.

Shameless thread of recent accomplishments below:

First of all, feel free to visit my website at https://t.co/DK3AaqgRJ4 for my CV and online lectures and articles. Here are twitter threads about some of them from this past year
Here's a meta-analysis on bipolar disorder and reinforcement sensitivity theory:
https://t.co/3hjvSNL8qO
Here's a meta-analysis on depression, anxiety, and reinforcement sensitivity theory:
https://t.co/LmVYrCEbXA
Here's a new tool for implicitly measuring personality:
https://t.co/HBrx0W2pFR
Here are two video interviews on my research about depression and anxiety during COVID-19, and about peer review:
https://t.co/Ja69M7uOK1
Here's a thread about a conference on LGBT+ and Orthodox Judaism that I chaired (Hebrew with English subtitles):
https://t.co/rv5LTcYfaV
Here's a clinical lecture I gave on psychotherapy among Orthodox Jewish LGBT+ people:
https://t.co/RhTNBbycL0
Here's an award that I won for my theoretical work in LGBT+ mental health:
https://t.co/E3dfknk2oL
Oh, also I bake and love baking-related puns:
https://t.co/3OCB9M3wJp
https://t.co/ga3U4xyrO6

More from Health

You gotta think about this one carefully!

Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)

The test is 99% effective in detecting both sick and healthy people.

Your test comes back positive.

Are you really sick? Explain below 👇

The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through


You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.

👇


Here is what we know:

- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative

Assuming 1 million people take the test (including you):

- 100 of them are sick
- 999,900 of them are healthy

👇

Let's now test both groups, starting with the 100 people sick:

▫️ 99 of them will be diagnosed (correctly) as sick (99%)

▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)

👇
1/15
Why can cefepime cause neurological toxicity?

And why is renal failure the main risk factor for this complication?

The answer requires us to learn about cefepime's structure and why it unexpectedly binds to a certain CNS receptor.

#MedTwitter #Tweetorial


2/
Let's establish a few facts about cefepime:

🔺4th generation cephalosporin antibiotic
🔺Excretion = exclusively in the urine (mostly as unchanged drug)
🔺Readily crosses the blood-brain barrier (so it easily accesses the brain)

https://t.co/rjYG1BfGPR


3/
The first report of cefepime neurotoxicity was in 1999.

A patient w/ renal failure received high doses of cefepime and then developed encephalopathy, tremors, myoclonic jerks, and tonic-clonic seizures.

✅All symptoms resolved after hemodialysis.

https://t.co/u7JLVitQpp


4/
Cefepime neurotoxicity is surprisingly common, occurring in up to 15% of treated critically ill patients (w/ symptoms varying from encephalopathy to seizures).

💡The main risk factors = renal failure and lack of dose adjustment for renal function.

https://t.co/nxbnzSq8AR


5/
What about cefepime induces neurotoxicity?

One clue is that it's not the only antibiotic that causes neurotoxicity, particularly seizures.

This actually is a class effect w/ other beta-lactam antibiotics (including penicillins and carbapenems).

https://t.co/Lf4BhON9IY

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