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Bipolar Disorder in a Patient with VACTERL Syndrome: A Case Report

2025· article· en· W4413980836 on OpenAlexaff
Parinda Parikh, Namitha Maria Mathew, Ananya Reddy Dadem, Sahia Manepalli, Rithika Narravula, Dilinuer Wubuli, Himani J Suthar, Devita Singh, E H Lee, Arushi Chandra-Kaushik, Avish Chandra, Ishant Buddhavarapu, Mahiya Buddhavarapu, Mina Oza

Bibliographic record

VenueInternational Journal of Innovative Research in Medical Science · 2025
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsMedicineBipolar disorderPediatricsPsychologyPsychiatryMood

Abstract

fetched live from OpenAlex

VACTERL association is a non-random constellation of congenital anomalies, typically involving at least three of the following systems: vertebral defects, anal atresia, cardiac malformations, tracheoesophageal fistula, renal anomalies, and limb abnormalities. While defined by structural defects, emerging evidence suggests increased rates of correlations with neurodevelopmental and psychiatric conditions. Bipolar disorder is a chronic mood disorder marked by recurrent episodes of mania or hypomania and depression, with pathophysiology involving fronto-limbic dysregulation, neurotransmitter imbalance, neuroinflammation, mitochondrial dysfunction, and impaired neuroplasticity. We report a case of Bipolar I Disorder in a 21-year-old man with VACTERL association (vertebral anomalies, anal atresia, cardiac defects, tracheoesophageal fistula) and normal cognitive development. He presented with a two-week manic episode with psychotic features and responded well to lithium and olanzapine. To our knowledge, this is the first case reported a potential link between VACTERL association and a bipolar disorder. This case highlights the need for increased awareness of possible psychiatric comorbidities in patients with complex congenital anomalities and underscores the importance of incorporating neuropsychiatric screening into VACTERL patient care.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.458
Teacher spread0.417 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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