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Record W4379967136 · doi:10.1177/01455613231179714

SARS-CoV-2 Infection, A Risk Factor for Pituitary Apoplexy? A Case Series and Literature Review

2023· article· en· W4379967136 on OpenAlexaff
Christina Hazzi, Noémie Villemure‐Poliquin, Sylvie Nadeau, Pierre‐Olivier Champagne

Bibliographic record

VenueEar Nose & Throat Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsMedicineAsymptomaticConcomitantPituitary apoplexyInternal medicinePediatricsPandemicIntensive care medicineCoronavirus disease 2019 (COVID-19)Pituitary adenomaDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Introduction: Pituitary apoplexy (PA) is a rare phenomenon, characterized by a hemorrhagic or ischemic event of the pituitary gland, most often in association with a pituitary lesion. Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the strain of virus responsible for the internationally recognized global pandemic COVID-19. Multiple clinical manifestations associated with this virus have been described, ranging from asymptomatic, mild flu symptoms to acute respiratory distress syndrome, end-organ failure leading to death. Cases of patients with concomitant COVID-19 infections and PA are being further recognized in the literature, but the causal association between the 2 entities remains speculative. Objectives: The objectives of this case series are 3-fold: to describe additional cases of patients with concomitant COVID-19 infection and PA (1), to review the current evidence regarding this potential complication associated with a COVID-19 infection (2), and to discuss physiopathological hypotheses, treatments, and prognoses of this newly recognized association (3). Method: We conducted an electronic chart review of patients treated for PA with concomitant COVID-19 infection from March 2020 to December 2021. A literature review was performed using MEDLINE, Web of Science, and Embase databases to identify other cases of COVID-19-associated PA. Results: From March 2020 to December 2021, 3 patients presented to our center with PA following a symptomatic COVID-19 infection. Two of these patients developed PA symptoms days following the viral infection, whereas the third patient developed PA after a 2-month period. The 2 first patients were managed surgically because of persistent visual symptoms. Results from our literature review yielded 12 other cases of COVID-19-associated PAs. Conclusions: The association between COVID-19 infection and PA has been increasingly reported in the literature. With the addition of the 3 cases described in our article, a total of 15 cases have been published. Many contributing mechanisms may lead to PA following COVID-19 infection. Coagulopathy is probable major contributing cause responsible for hemorrhage or infarction of the pituitary gland. Our case series provides further arguments that PA may be a direct manifestation of a COVID-19 infection.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.327
Teacher spread0.296 · 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

Citations9
Published2023
Admission routes1
Has abstractyes

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