Evidence map›Paper›PMID 41653324›Full record

ArticlePediatric cardiology2026

Comparison of Near-Infrared Spectroscopy and Traditional Parameters for Monitoring Neonates with Aortic Coarctation.

Danielle P Sharp, Justin Kochanski, Shelby Lee, Nicole Weigel, Shiraz A Maskatia, Shazia Bhombal, Valerie Y Chock

Abstract read
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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.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Danielle P SharpDepartment of Pediatrics, Division of Neonatology, University of California, San Francisco, CA, USA. danielle.sharp@ucsf.edu.
Justin KochanskiStanford Cardiovascular Institute, Palo Alto, CA, USA.
Shelby LeeDepartment of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University, Stanford, CA, USA.
Nicole WeigelDepartment of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University, Stanford, CA, USA.
Shiraz A MaskatiaStanford Cardiovascular Institute, Palo Alto, CA, USA.
Shazia BhombalDepartment of Pediatrics, Division of Neonatology, Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA, USA.
Valerie Y ChockDepartment of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In neonates with aortic coarctation (CoA), near-infrared spectroscopy (NIRS) may be utilized to asses for impaired end-organ perfusion. To test the utility of Cerebral (CSat) and renal (RSat) oxygen saturations compared to traditional parameters in determining the need for surgical intervention in neonates with significant risk for CoA. This single-center, retrospective cohort study included newborns > 34 weeks gestation with fetal echocardiographic diagnosis of moderate or high-risk CoA admitted to the neonatal intensive care unit under an institutional arch watch protocol. NIRS and traditional monitoring values (pre- and post-ductal oxygen saturation, 4-extremity blood pressure, urine output, blood gas, and lactate) were measured for seven days. Fifty patients met the inclusion criteria, and 16 required surgical repair. Univariate analysis showed no significant difference between surgical and non-surgical patients for pre- and post-ductal saturations, arterial blood pH, or base deficit. CSat and RSat were significantly lower in surgical patients on days 2–6 and 1, 2, and 4, respectively. ROC analysis of NIRS measures on day 3 showed AUC of 0.77 for surgical repair. CSat and RSat values were significantly decreased in infants with CoA requiring surgery. The addition of NIRS monitoring may better identify patients who require surgical intervention than traditional monitoring alone.

Indexed as

Aortic coarctationCongenital heart diseaseNear-infrared spectroscopyNeonate

Identifiers

PMID41653324

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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.