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Investigating/characterizing platelet & leukocyte adsorption in circuits
💡detailed protocol utilizing immunofluorescence to help extend knowledge in binding mechanisms + pathophysiology of adsorption, providing guidance for better circuit design. Protocol enabling comprehensive characterization of cellular binding to circuits collected from patients, could also be adapted to circuit binding studies of other systems, such as , , devices.
🖇️ bit.ly/3XK4oYD

📢 June issue of Intensive Care Medicine is now available!!
💦 European Society of Intensive Care Medicine (ESICM) fluid therapy guidelines
🗺️ critical care in LMICs
🩸emergency chemotherapy for hematological patients in
🫘 in PedsICU
🧫 & bloodstream infection
🫁 proning in
🫁 Pes
🫀 in cardiogenic shock
🧠 neuromonitoring
& more! Full texts free to read if you follow the links we share in our social media posts... enjoy!
📎 bit.ly/ICMJun2024

Renal replacement therapy in comatose patients with severe : possible harmful consequence of delaying initiation?? Post hoc secondary analysis analysis of AKIKI2 multicenter randomized controlled trial:
🔍168 pts, 2 initiation strategies
🫘 more-delayed strategy (vs currently recommended) resulted in lower chance of awakening
🫘 in selected pts RRT may reduce duration of coma
Full results free to read on @ICM at
🔓 rdcu.be/dF3qU
⬇️ Below visual abstract

Concurrent renal replacement therapy & extracorporeal membrane oxygenation: what pediatric nephrologists need to know
🩸 modalities & their usages
🔥 pathophysiology of inflammation during
🫘
💦 fluid overload
🩸 anticoagulation strategies in ECMO
🔄 therapeutic plasma exchange
🫘 indications & modalities of
⚙️ technical aspects of implementing into the extracorporeal circuit
📊 outcomes associated with RRT in

🔓 rdcu.be/dzuG4

🫘 Initiation of renal replacement therapy in ? Optimal modality to deliver of to critically ill patients with severe acute kidney injury controversial: any potential link between RRT modality and kidney recovery?? In this retrospective analysis of STARRT trial CRRT vs IHD associated
with significant reduction of risk of death or RRT dependence at 90 days.
Free to read on @ICM 🔓 rdcu.be/dosj9

Accelerated initiation in CKD, secondary analysis of STARRT-AKI
💧 no reduction in mortality irrespective of pre-existing CKD
💧 3-fold higher risk of 90-day RRT dependence among patients with pre-existing CKD; no effect in absence of CKD
Full results free to read on @ICM
📑 rdcu.be/cY0Oi
⬇️ Below visual abstract

Renal replacement therapy on support?? Might be commonly required... can be offered via a dedicated catheter or via the circuit: do you want to know more? Details in module 37 of the ELSO Foundations Adult ECMO Training Course. Register now!!
📎 bit.ly/ELSOAcademy
ELSO Foundations qualifies as one of the criteria required to sit for the ELSO Adult ECMO Certification Exam E-AEC. All info at bit.ly/E-AEC
🇪🇸 El curso formativo está ahora disponible en Español también!

The #RStats package #RRreg is again available at #CRAN (unfortunately, I did not receive a warning before it was removed):

CRAN.R-project.org/package=RRr

RRreg provides univariate and multivariate methods to analyze data collected with the randomized response technique (RRT) in #survey designs. #RRT is useful to reduce social desirability bias when asking sensitive questions.

cran.r-project.orgRRreg: Correlation and Regression Analyses for Randomized Response Data Univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69, <<a href="https://doi.org/10.2307%2F2283137">doi:10.2307/2283137</a>>). Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression (with or without random effects), or as predictors in a linear regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85(2), 1–29, <<a href="https://doi.org/10.18637%2Fjss.v085.i02">doi:10.18637/jss.v085.i02</a>>). For simulations and the estimation of statistical power, RR data can be generated according to several models. The implemented methods also allow to test the link between continuous covariates and dishonesty in cheating paradigms such as the coin-toss or dice-roll task (Moshagen, M., & Hilbig, B. E. (2017). The statistical analysis of cheating paradigms. Behavior Research Methods, 49, 724–732, <<a href="https://doi.org/10.3758%2Fs13428-016-0729-x">doi:10.3758/s13428-016-0729-x</a>>).