Evidence map›Paper›PMID 40536386›Full record

ArticleActa orthopaedica et traumatologica turcica2025

Catastrophic wound dehiscence in early onset scoliosis secondary to hyperinflammatory response: a case report.

Wasim Shihab, Aaradhana Jha, Ozgur Dede

Abstract readCase Reports
In one paragraph

Article in Acta orthopaedica et traumatologica turcica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

3 authors.

Wasim ShihabDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-3812-2025
Aaradhana JhaDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-4852-0131
Ozgur DedeDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-5283-1645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early onset scoliosis (EOS) poses significant treatment challenges, often exacerbated by postoperative wound complications. A novel case of hyperinflammatory wound complications in a child with a confirmed NFKB1 mutation is presented, successfully managed with immunomodulation. A 6-year-old boy experienced wound dehiscence and persistent inflammation following rod placement, unresponsive to conventional treatments including surgical debridement and antibiotics. Further evaluation identified an NFKB1 mutation associated with hyperinflammatory states. Targeted treatment with Anakinra, an interleukin (IL)-1 receptor antagonist, resulted in rapid wound healing and normalization of inflammatory markers. Subsequent serial rod expansions, pretreated with Anakinra, were complication-free, and the patient remained stable for 4 years post treatment. This case emphasizes the critical role of genetic predispositions, such as NFKB1 mutations, in postoperative complications. Dysregulated IL-1β activity was effectively managed with targeted immunomodulation, highlighting the importance of recognizing and addressing non-infectious hyperinflammatory processes. Patients presenting with very early wound dehiscence, disproportionate inflammatory responses, and unresponsiveness to infection management may benefit from detailed immunologic evaluation. Rare hyperinflammatory conditions should be considered in the differential diagnosis of challenging postoperative wound healing scenarios.

Indexed as

InflammationInterleukin 1 Receptor Antagonist ProteinScoliosisSurgical Wound DehiscenceChildHumansMaleTreatment OutcomeWound HealingInterleukin 1 Receptor Antagonist Protein

Identifiers

PMID40536386
PMCPMC12147324

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Registered trials

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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.