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Major Adverse Kidney Events in Pediatric Continuous Kidney Replacement Therapy

2024· article· en· W4392096571 on OpenAlexaff
Dana Y. Fuhrman, Erin K. Stenson, Issa Alhamoud, Rashid Alobaidi, Gabriella Bottari, Sarah N. Fernández, Francesco Guzzi, Taiki Haga, Ahmad Kaddourah, Eleonora Marinari, Tahagod Mohamed, Catherine Morgan, Theresa Mottes, Tara M. Neumayr, Nicholas J. Ollberding, Valeria Raggi, Zaccaria Ricci, Emily See, Natalja L. Stanski, Huaiyu Zang, Emily E. Zangla, Katja M. Gist, Emily Ahern, Ayse Akcan‐Arikan, Pilar Antón-Martín, Shanthi S. Balani, Matthew Barhight, Abby Basalely, Amee M. Bigelow, Andrea Cappoli, Eileen Ciccia, Michaela Collins, Denise Colosimo, Gérard Cortina, Mihaela Damian, Gabrielle DeAbreu, Akash Deep, Kathy L Ding, Kristin Dolan, Stephen M. Gorga, Elizabeth Harvey, Denise Hasson, Taylor Hill-Horowitza, Haleigh Inthavong, Catherine Joseph, Aadil Kakajiwala, Aaron Kessel, S Korn, Kelli A. Krallman, David M. Kwiatkowski, Jasmine Lee, Laurance Lequier, Tina Madani Kia, Kenneth E. Mah, Susan D. Martin, Shina Menon, Melissa Muff‐Luett, Siva P. Namachivayam, Sara de la Mata Navazo, Jennifer Nhan, Abigail Alexandra O'Rourke, Matthew G. Pinto, Dua Qutob, Stéphanie Reynaud, Zachary A. Rumlow, María José Santiago, David T. Selewski, Carmela Serpe, Alyss Serratore, Ananya Shah, Weiwen V. Shih, Hyungoo Shin, Cara Slagle, Sonia Solomon, Danielle E. Soranno, Rachana Srivastava, Michelle C. Starr, Amy E. Strong, Susan A. Taylor, Sameer Thadani, Amanda M. Uber, Brynna Van Wyk, Tennille N. Webb, Michael Zappitelli

Bibliographic record

VenueJAMA Network Open · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsUniversity of Alberta
FundersRoy J. and Lucille A. Carver College of Medicine, University of IowaNational Institute of General Medical SciencesSchool of Medicine, Indiana UniversityHealth Science Center, University of TennesseeUniversity of South Carolina
KeywordsMedicineRenal replacement therapyDialysisAcute kidney injuryRenal functionKidney diseaseOdds ratioAdverse effectComorbidityInternal medicineExtracorporeal membrane oxygenationIntensive care medicine

Abstract

fetched live from OpenAlex

Importance: Continuous kidney replacement therapy (CKRT) is increasingly used in youths with critical illness, but little is known about longer-term outcomes, such as persistent kidney dysfunction, continued need for dialysis, or death. Objective: To characterize the incidence and risk factors, including liberation patterns, associated with major adverse kidney events 90 days after CKRT initiation (MAKE-90) in children, adolescents, and young adults. Design, Setting, and Participants: This international, multicenter cohort study was conducted among patients aged 0 to 25 years from The Worldwide Exploration of Renal Replacement Outcomes Collaborative in Kidney Disease (WE-ROCK) registry treated with CKRT for acute kidney injury or fluid overload from 2015 to 2021. Exclusion criteria were dialysis dependence, concurrent extracorporeal membrane oxygenation use, or receipt of CKRT for a different indication. Data were analyzed from May 2 to December 14, 2023. Exposure: Patient clinical characteristics and CKRT parameters were assessed. CKRT liberation was classified as successful, reinstituted, or not attempted. Successful liberation was defined as the first attempt at CKRT liberation resulting in 72 hours or more without return to dialysis within 28 days of CKRT initiation. Main Outcomes and Measures: MAKE-90, including death or persistent kidney dysfunction (dialysis dependence or ≥25% decline in estimated glomerular filtration rate from baseline), were assessed. Results: Among 969 patients treated with CKRT (529 males [54.6%]; median [IQR] age, 8.8 [1.7-15.0] years), 630 patients (65.0%) developed MAKE-90. On multivariable analysis, cardiac comorbidity (adjusted odds ratio [aOR], 1.60; 95% CI, 1.08-2.37), longer duration of intensive care unit admission before CKRT initiation (aOR for 6 days vs 1 day, 1.07; 95% CI, 1.02-1.13), and liberation pattern were associated with MAKE-90. In this analysis, patients who successfully liberated from CKRT within 28 days had lower odds of MAKE-90 compared with patients in whom liberation was attempted and failed (aOR, 0.32; 95% CI, 0.22-0.48) and patients without a liberation attempt (aOR, 0.02; 95% CI, 0.01-0.04). Conclusions and Relevance: In this study, MAKE-90 occurred in almost two-thirds of the population and patient-level risk factors associated with MAKE-90 included cardiac comorbidity, time to CKRT initiation, and liberation patterns. These findings highlight the high incidence of adverse outcomes in this population and suggest that future prospective studies are needed to better understand liberation patterns and practices.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.342
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations26
Published2024
Admission routes1
Has abstractyes

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