Yoshitsugu Obi (@yoshi_obi) 's Twitter Profile
Yoshitsugu Obi

@yoshi_obi

Nephrology, Transplant Nephrology, Epidemiology, Clinical Research

ID: 855158827351646208

calendar_today20-04-2017 20:38:47

516 Tweet

342 Followers

76 Following

Kam Kalantar-Zadeh, MD, MPH, PhD (@kamkalantar) 's Twitter Profile Photo

Dialysis #Symptom index burden & #SymptomClusters in a prospective cohort of dialysis patients #MADRAD Most common symptoms: Tired/lack of energy 71%, Dry skin 62% Trouble falling asleep 44% Muscle cramps 43% Itching 43% link.springer.com/article/10.100… #Cramps #Pruritus Connie Rhee

Dialysis #Symptom index burden & #SymptomClusters in a prospective cohort of dialysis patients #MADRAD
Most common symptoms:
Tired/lack of energy 71%, 
Dry skin 62%
Trouble falling asleep 44% 
Muscle cramps 43%
Itching 43%
link.springer.com/article/10.100…
#Cramps #Pruritus <a href="/ConnieMRhee/">Connie Rhee</a>
Arkana Laboratories (@arkanalabs) 's Twitter Profile Photo

We’re hiring more renal pathologists! At Arkana, you will find a highly supportive environment with challenging diagnostic material, an interesting daily case conference, multiple teaching opportunities, and the chance to study many rare diseases. Advance your career here.

Robert Dickson (@robertpdickson) 's Twitter Profile Photo

What luck! Starting in 2015, there was a national shortage of piperacillin-tazobactam (which devastates gut anerobes). On a dime, we switched to cefepime (which doesn't touch anaerobes). An amazing natural experiment for comparing empiric antibiotics in sepsis. 6/n

What luck! Starting in 2015, there was a national shortage of piperacillin-tazobactam (which devastates gut anerobes). On a dime, we switched to cefepime (which doesn't touch anaerobes). An amazing natural experiment for comparing empiric antibiotics in sepsis.

6/n
Navdeep Tangri (@navtangri) 's Twitter Profile Photo

@DrTariqShafi Clarissa Tio Morgan Grams Javed Butler Yoshitsugu Obi Congratulations @DrTariqShafi Clarissa Tio - Really important to get care providers to see risk across the entire spectrum of eGFRs High risk patients need identification and early intervention before kidney function is lost

Yoshitsugu Obi (@yoshi_obi) 's Twitter Profile Photo

Excited to share our latest publication on cause-of-death reporting in dialysis patients, comparing the US Renal Data System vs. the National Death Index. Important findings with implications for clinical practice and research👇: journals.lww.com/cjasn/abstract… #dialysis #epidemiology

Trisha Laxamana MD 🗽🇵🇭 (@nephrolotrish) 's Twitter Profile Photo

Dr. fernando fervenza educating us on new treatment strategies in IgA nephropathy; & reminding us that just like proteinuria, hematuria is a good marker of disease activity and should be included in evaluating patient outcomes! 💯 American Society of Nephrology #KidneyWk ✨

Dr. <a href="/fervenzafernan1/">fernando fervenza</a> educating us on new treatment strategies in IgA nephropathy; &amp; reminding us that just like proteinuria, hematuria is a good marker of disease activity and should be included in evaluating patient outcomes! 💯 <a href="/ASNKidney/">American Society of Nephrology</a> #KidneyWk ✨
Juan Carlos Q Velez (@veleznephhepato) 's Twitter Profile Photo

Abdominal banding more effective than compression stockings because it addresses the major standing venous blood pooling. Learned a lot on this lecture by Dr Shibao Vanderbilt University Medical Center #KidneyWk

Abdominal banding more effective than compression stockings because it addresses the major standing venous blood pooling. Learned a lot on this lecture by Dr Shibao <a href="/VUMCDiscoveries/">Vanderbilt University Medical Center</a> #KidneyWk
ASN Publications (@asnpublications) 's Twitter Profile Photo

Cause-specific mortality data from the USRDS form the basis for identifying CVD, specifically SCD, as the leading cause of death for patients on dialysis. This study found that significant discordance exists in the causes of death for patients on dialysis reported by the USRDS

Cause-specific mortality data from the USRDS form the basis for identifying CVD, specifically SCD, as the leading cause of death for patients on dialysis. This study found that significant discordance exists in the causes of death for patients on dialysis reported by the USRDS
Laurent ARNAUD (@lupusreference) 's Twitter Profile Photo

✅ This is one of the MOST IMPORTANT 🔥 #ACR2024 Update for #Lupus. Updated ACR #recommendations for lupus #nephritis ⬇️

Mike Putman (@ebrheum) 's Twitter Profile Photo

Interesting! Study of pts w/ ANA(-) & dsDNA(+). 1 in 5 dx with APLS! Have others seen that? I have been disgregarding this pattern, though some of that is related to my in-house assay (seems overly-sensitive) & my bias against overdiagnosis #ACR24 Dr. John Cush Abstr#2391

Interesting! Study of pts w/ ANA(-) &amp; dsDNA(+). 1 in 5 dx with APLS! Have others seen that? 

I have been disgregarding this pattern, though some of that is related to my in-house assay (seems overly-sensitive) &amp; my bias against overdiagnosis

#ACR24 <a href="/RheumNow/">Dr. John Cush</a> Abstr#2391
Hans-Joachim Anders (@hjanders_hans) 's Twitter Profile Photo

Now open access in NDT Ethical considerations on the use of big data and AI in kidney research from the ERA ethics committee 🧐Analysis observational data, prone to many biases, can finally result in low-quality medical care. ▶️academic.oup.com/ndt/article/do…

Now open access in <a href="/NDTsocial/">NDT</a>

Ethical considerations on the use of big data and AI in kidney research from the ERA ethics committee 

🧐Analysis observational data, prone to many biases, can finally result in low-quality medical care.

▶️academic.oup.com/ndt/article/do…
ASN Publications (@asnpublications) 's Twitter Profile Photo

Cause-specific mortality data from the United States Renal Data System (USRDS) form the basis for identifying cardiovascular disease (CVD), specifically sudden cardiac death (SCD), as the leading cause of death for patients on dialysis. This study found that significant

Cause-specific mortality data from the United States Renal Data System (USRDS) form the basis for identifying cardiovascular disease (CVD), specifically sudden cardiac death (SCD), as the leading cause of death for patients on dialysis. This study found that significant