ArticlePediatric cardiology2026
Acute Kidney Injury After Pediatric Heart Transplant: The Impact of Intraoperative Hemodynamics Using High-Fidelity Data.
Article in Pediatric cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute kidney injury is a frequent complication after pediatric heart transplant and is associated with long-term renal dysfunction and mortality. Factors associated with acute kidney injury have been studied; however, the role of intraoperative physiologic monitoring, particularly renal near infrared spectroscopy, remains incompletely understood. This study aimed to evaluate the association between intraoperative hemodynamic markers with the development of postoperative acute kidney injury in pediatric heart transplant recipients. This was a single-center retrospective study of pediatric patients undergoing orthotopic heart transplantation between 2021 and 2024. Percent change from baseline for various intraoperative hemodynamic indices were collected. Discriminative ability of individual predictors was assessed using receiver operating curve analysis. A multivariable random forest classifier incorporating patient characteristics, operative variables, and intraoperative physiologic changes was developed using fivefold cross-validation, and partial dependence plots were generated for all independent variables. Eighty-four patients were included; 65 (77%) developed postoperative acute kidney injury. Receiver operating curve analysis demonstrated that percent change in renal near infrared spectroscopy was significantly associated with acute kidney injury (area under the curve 0.67, p < 0.01), with an optimal cutoff at a 29% decrease from baseline. Percent change in mean arterial pressure showed modest discrimination (area under the curve 0.61, p = 0.08), while central venous pressure, cardiopulmonary bypass time, and ischemic time were not independently discriminative. The random forest model demonstrated good performance (area under the curve 0.67; Brier score 0.33). Renal near infrared spectroscopy change was the most important predictor, followed by mean arterial pressure change, and weight. Partial dependence analysis identified inflection points at approximately 30% decrease in renal near infrared spectroscopy associated with increased probability of acute kidney injury. In pediatric heart transplant recipients, renal near infrared spectroscopy demonstrated the strongest discriminative ability for postoperative acute kidney injury and outperforms traditional hemodynamic and operative variables. Renal near infrared spectroscopy may serve as a high-fidelity, real-time physiologic marker to identify patients at elevated risk for renal injury and represents a potential target for intraoperative management strategies.
Indexed as
Identifiers
42461379What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.