TITLE: Manic Episodes and Brain Damage?

I have a client asking if manic episodes can cause brain damage.
Hmmm...  I know they are supposed to get worse if left untreated...

Anyone have links to research on either:
1) Manic episodes and brain damage, or
2) Manic episodes and disease progression and prognosis.

Thanks,
Michael Reeder LCPC
Baltimore, MD

~~~

@psychotherapist @psychology @socialpsych
@socialwork
@psychotherapists
@psychiatry

#psychology #counseling #socialwork #psychotherapy #research #bipolar #manicdepressive #depression #manic #braindamage #prognosis #psychiatrists

Last updated 1 year ago

SRLF [🤖]:verified: · @srlf
5 followers · 147 posts · Server med-mastodon.com

of_aic: The intensivist's experience: crucial for patient outcomes
zurl.co/4uVS
@oH

#skills #prognosis #ICU #aic #fics #srlf

Last updated 1 year ago

German Tebiev · @turbobureaucrat
51 followers · 345 posts · Server hachyderm.io

On the 23rd of March I've built one telling me that with the of 85% my team would have 153 tasks completed on the 23rd of April. Today I checked, and the number is 152. I am impressed.

#probability #prognosis

Last updated 1 year ago

SRLF [🤖]:verified: · @srlf
5 followers · 140 posts · Server med-mastodon.com

of_aic: Auto‐antibodies neutralizing type I interferons in COVID-19 patients : a not so rare finding but not associated with mortality
@ARRESTIER

zurl.co/HigU

#COVID19 #immunity #prognosis #aic #fics #srlf

Last updated 1 year ago

SRLF [🤖]:verified: · @srlf
5 followers · 136 posts · Server med-mastodon.com

of_aic: Frailty is an interesting tool in ...middle-aged patients

@de Geer
zurl.co/qZE1

#outcomes #prognosis #aic #fics #srlf

Last updated 1 year ago

Joan of Cat (she/her) 😼 · @ceruleanarc
604 followers · 245 posts · Server eldritch.cafe

A lot of are misdiagnosed with personality disorders because they show the symptoms of one or more personality disorders.

I know. That sounds weird. If you have the symptoms of a , surely you have the disorder, right?

That's true for a , but it's not true for a

A personality disorder is by definition. This means that it permeates throughout the person's life and colors every that they have. Every single one.

That means that for a to be accurately diagnosed with a personality disorder, all of that system must have the personality disorder. Not one . Not two. All of them.

By way of example, consider a plural system with a /#persecutor, a headmate who exists to protect the system, but that often also harms the system in the way that it chooses to protect the system. This protector/persecutor could be an of that system's external abuser, thereby continuing that individual's abuse on the system long after that individual is gone from the system's life.

That protector/persecutor might easily receive a of , , or Personality Disorder. But often the protector/persecutor is also unique among its headmates. The , , or diagnosis may be completely wrong for the other members of the system, and certainly for the host (if there is one), who may be the victim of the protector/persecutor's more often than not.

This means that the diagnosis of a personality disorder is wholly inaccurate. The personality disorder has not pervaded the system, and it therefore cannot be called a personality disorder. And if even one is capable of insight into the protector/persecutor, then that system's is likely to be significantly better than that of a person who has been accurately diagnosed with a personality disorder.

In short, for a system to be correctly diagnosed as having a personality disorder, all of that systems headmates must share the symptoms of the disorder. If they do not, they do not have a personality disorder.

I hope this has been helpful!

#plurals #disorder #singlet #plural #pervasive #experience #system #headmate #protector #maladaptive #introject #diagnosis #borderline #narcissistic #antisocial #bpd #npd #apd #abuse #abusive #prognosis #mentalhealth #dissociativedisorders #did #osdd #personalitydisorders

Last updated 1 year ago

Daniel Dvorkin · @medigoth
145 followers · 213 posts · Server qoto.org

For once, an issue where I *can* speak with a certain amount of authority.

I've been hearing "expert systems outperform human , so pretty soon human will be obsolete" for a few years now. It's closely akin to " fly themselves these days, so what do we need for?" In both cases, people are paying attention to the best-case scenario with no understanding of the *enormous* number of how many and various the worse cases really are.

This is complicated by the fact that in most of (although not necessarily medicine, the author's specialty) and in nearly all of air travel, the best case is also the normal case. Most of the time, whatever is wrong with you can be diagnosed and treated. Almost all the time, when you get on a plane, you'll walk off at the other end of the trip as healthy as when you boarded. It's reasonable to expect those outcomes.

Not-best and not-normal cases add up really fast.

Without any false modesty whatsoever: as a , I learned a truly impressive degree of clinical judgement. From the first moment I saw a patient, I had a pretty good idea of , , and . (Sadly, if my initial call was "this one's not going to make it," I was almost always right. The exceptions kept me going.) I learned from the best—one of my mentors had learned *his* trade in rural Guatemala, where resources were terribly sparse and human judgement was the only line between life and death. He held back death for decades, and it came for him far too early. Gene Gibbs, RIP.

I can't code that. Neither can anyone else, and if they tell you they can, they're lying.

As a , I've done a fair amount of work in (). The idea is simple, and valid: no human, or team of humans, can remember everything they need to know. There's simply too much knowledge for the brain to hold and recall on demand. Subtle relationships exist between disparate types of data that *nobody* knows, until we tease out the numbers. We're doing this, right now. It is saving lives and relieving suffering, right now.

The key word there is "support." Humans still absolutely, positively, 100% need to be in the loop.

Maybe that will change, someday. I'm not saying it's impossible, for two reasons. First, any time anyone says "computers will never be able to ___" they're usually proven wrong. Second, I don't want to limit my and my colleagues' imaginations. We need to stay focused, but it is a *good thing* for our reach to slightly exceed our grasp. That's how happens!

Just not this day, and not for many days to come. Right now, we need to keep muddling along. There's not much more human than that.

fastcompany.com/90863983/chatg

#airliners #pilots #medicine #medic #diagnosis #cds #ai #diagnostics #prognosis #clinical #physicians #researcher #decision #support #science #emergency #treatment

Last updated 1 year ago

zoran b. · @zoranbee
62 followers · 94 posts · Server home.social

news today - It’s really hard to watch how slow things move: so much talk about on for months! Either ban the damn thing or shuddup about it!
And the slow decaying of with , yet it’s still there, still full of fools clinging on. Sigh.
Wish the and the would find a new source of entertainment.

#Tech #ban #tiktok #twitter #doom #prognosis #media #politicians

Last updated 1 year ago

SRLF [🤖]:verified: · @srlf
5 followers · 57 posts · Server med-mastodon.com

RT @of_aic@twitter.com

Whats new on post-intensive care syndrome ?
🔗zcu.io/U2GK 
@GuillaumeVoiriot@twitter.com @JeremieJoffre@twitter.com

🐦🔗: twitter.com/of_aic/status/1610

#prognosis #outcomes #aic #fics #srlf

Last updated 2 years ago

Yan Leyfman, MD · @yleyfman
118 followers · 123 posts · Server med-mastodon.com
Yan Leyfman, MD · @yleyfman
117 followers · 114 posts · Server med-mastodon.com
Yan Leyfman, MD · @yleyfman
114 followers · 106 posts · Server med-mastodon.com
Yan Leyfman, MD · @yleyfman
109 followers · 99 posts · Server med-mastodon.com
C. Foix · @CFoix
24 followers · 1462 posts · Server sauropods.win
Dan Hind · @DanHind
95 followers · 116 posts · Server med-mastodon.com

Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models
jclinepi.com/article/S0895-435

"Focus is required on handling of missing values, methods for internal validation, and reporting of calibration to improve the methodological conduct of studies on machine learning-based prediction models."

#SysRev #SystematicReviews #ML #machinelearning #prediction #prognosis

Last updated 2 years ago