Jeffrey Ha @jeffreyha.bsky.social

161 posts

Jeffrey Ha @jeffreyha.bsky.social banner
Jeffrey Ha @jeffreyha.bsky.social

Jeffrey Ha @jeffreyha.bsky.social

@_jeffreyha

Nephrologist @SydneyLHD & Wollongong 🇦🇺 | PhD on CV risk in CKD @georgeinstitute @UNSWMedicine | @AJKDonline Editorial Intern 2022-23

Sydney Katılım Haziran 2022
611 Takip Edilen283 Takipçiler
NoWars
NoWars@KidneyWars·
Thank you @_jeffreyha for the first #NephMadness topic idea! @NephMadness can we make an award for those whose suggestions end up in the tournament?
Jeffrey Ha @jeffreyha.bsky.social@_jeffreyha

@AJKDonline @Nephro_Sparks @anna_burgner @KidneyWars @Elena_Cervants @jrkott27 Can I suggest twice weekly or incremental hemodialysis? Some of our dialysis units converting patients to twice weekly dialysis out of necessity. Saves the environment. Potentially better QOL. ajkdblog.org/2022/11/09/inc… @Kidney_Trials under recruitment aktn.org.au/inch-hd/

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KDIGO
KDIGO@goKDIGO·
The KDIGO 2025 Clinical Practice Guideline for Anemia in Chronic Kidney Disease (CKD) is available for public review through Friday, November 22. You can download the public review draft and share comments via the feedback survey on the KDIGO Anemia in CKD Guideline Website: kdigo.org/guidelines/ane… KDIGO will prepare a final version for publication based on feedback received during public review. We thank you in advance for your time and insights. #anemia #CKD
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Circulation
Circulation@CircAHA·
Chronic kidney disease (CKD) and cardiovascular disease (CVD) are closely linked, with CKD emerging as a major CVD risk factor. Early detection and novel therapies targeting both conditions could transform patient outcomes @SradhaKotwal @VladoPerkovic ahajournals.org/doi/full/10.11…
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Jeffrey Ha @jeffreyha.bsky.social
@drmjkulkarni @NEJMEvidence @Badves @MinJun____ @hswapnil @DrDanMO @SuetoniaPalmer @DavidCWheeler2 @VladoPerkovic @georgeinstitute @UNSWMedicine @tukaramj @vskeskar @SreejithDr @divyaa24 @pradeepkj79 @raja_1980 @arvindcanchi @anupamayj @Ravindraprabh16 @drvivekkute @manirath @DivyaveerSSNeph @SayaliBThakare @kidney_boy @edgarvlermamd @WomenNeph_india @womeninnephro @isn_india @VijayKher8 @thisis_drgsp @MayuriTrivedi80 @Nephro_Sparks Table 1 shows drug discontinuation rates due to any cause (death, adverse events, etc.). This was 100% in both arms in DIALOGUE 3&5 (Fig S1 in our review). Note we also analyzed treatment discontinuation rates due to adverse events separately (Fig S13).
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@drmjkulkarni @NEJMEvidence @Badves @MinJun____ @hswapnil @DrDanMO @SuetoniaPalmer @DavidCWheeler2 @VladoPerkovic @georgeinstitute @UNSWMedicine @tukaramj @vskeskar @SreejithDr @divyaa24 @pradeepkj79 @raja_1980 @arvindcanchi @anupamayj @Ravindraprabh16 @drvivekkute @manirath @DivyaveerSSNeph @SayaliBThakare @kidney_boy @edgarvlermamd @WomenNeph_india @womeninnephro @isn_india Like with no subgroup analyses done, most meta-analyses <10 studies. Egger test to assess funnel plot asymmetry/publication bias "should be used only when ≥10 studies because when there are fewer studies power of the tests is too low to distinguish chance from real asymmetry”
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@drmjkulkarni @NEJMEvidence @Badves @MinJun____ @hswapnil @DrDanMO @SuetoniaPalmer @DavidCWheeler2 @VladoPerkovic @georgeinstitute @UNSWMedicine @tukaramj @vskeskar @SreejithDr @divyaa24 @pradeepkj79 @raja_1980 @arvindcanchi @anupamayj @Ravindraprabh16 @drvivekkute @manirath @DivyaveerSSNeph @SayaliBThakare @kidney_boy @edgarvlermamd We have also highlighted this in footnotes to Figs 3&4 in the main publication for the outcomes: CV death, stroke, composite kidney outcome & cancer-related events (Figs S5, S7, S12, & S21).
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@drmjkulkarni @NEJMEvidence @Badves @MinJun____ @hswapnil @DrDanMO @SuetoniaPalmer @DavidCWheeler2 @VladoPerkovic @georgeinstitute @UNSWMedicine @tukaramj @vskeskar @SreejithDr @divyaa24 @pradeepkj79 @raja_1980 @arvindcanchi @anupamayj @Ravindraprabh16 @drvivekkute @manirath @DivyaveerSSNeph @SayaliBThakare @kidney_boy @edgarvlermamd Where no. of events wasn’t reported in ≥1 trial; generic inverse variance meta-analysis was performed. Generic inverse variance doesn’t use events data to assign study weight. Weights are calculated based on treatment effects and study size – not events data.
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@drmjkulkarni @NEJMEvidence @Badves @MinJun____ @hswapnil @DrDanMO @SuetoniaPalmer @DavidCWheeler2 @VladoPerkovic @georgeinstitute @UNSWMedicine @tukaramj @vskeskar @SreejithDr @divyaa24 @pradeepkj79 @raja_1980 @arvindcanchi @anupamayj Analyses performed separately in pts treated with dialysis & not treated with dialysis to not introduce further heterogeneity.NB despite substantial heterogeneity btw studies, still low levels of heterogeneity for primary review outcome MACE. I2<25% (low) for all comparisons Fig2
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Jordy Cohen, MD, MSCE
Jordy Cohen, MD, MSCE@jordy_bc·
Interested in what's new in the 2024 ESC Hypertension Guidelines but don't have time to read all 107 pages? See my brief overview in @HyperAHA 👇 ahajournals.org/doi/10.1161/HY… 🔥 examples: 1) Single-pill combos for all! 2) Check for primary aldo in everyone! 3) BP goal <130/80
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NEJM Evidence
NEJM Evidence@NEJMEvidence·
Due to safety concerns with erythropoiesis-stimulating agents, there is interest in developing alternative agents to treat anemia in patients with CKD. 🔬 1/3
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Gunnar Henrik Heine
Gunnar Henrik Heine@gunnar_heine·
Comprehensive review by Drs. Yeung, Toussaint & @Badves "We do not recommend routine use of vit D supplementation in (...) CKD stages 3–5, although in those with 25(OH)D deficiency there may be some rationale for replacement as benefit may outweigh harm" academic.oup.com/ckj/article/17…
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