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S2819 Late Presentation of Posterior Reversible Encephalopathy Syndrome Following Liver Transplantation in the Setting of Tacrolimus and Cannabis Use

2021· article· en· W3210486030 on OpenAlexaff
Felix Zhou, Andreu F. Costa, Magnus McLeod

Bibliographic record

VenueThe American Journal of Gastroenterology · 2021
Typearticle
Languageen
FieldMedicine
TopicNeurological Complications and Syndromes
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTacrolimusMedicineLiver transplantationPosterior reversible encephalopathy syndromeTransplantationEncephalopathyPediatricsInternal medicineSurgeryMagnetic resonance imagingRadiology

Abstract

fetched live from OpenAlex

Introduction: The occurrence of PRES in patients after transplantation secondary to tacrolimus is well-documented in the literature. A 2016 review of PRES after liver transplantation found that most cases developed 2 to 3 months after transplantation. In independent case reports, the longest time elapsed from transplantation to development of PRES was 110 days. To our knowledge, this case represents the longest documented time elapsed between liver transplantation and development of PRES (3 years) in the existing literature and reinforces the importance of maintaining a high index of suspicion for PRES in patients presenting with altered mental status and visual disturbances, even long after transplantation. Case Description/Methods: A 45-year-old female presented to hospital with confusion and visual disturbances. She had a liver transplantation 3 years prior for cirrhosis secondary to primary biliary cholangitis. Computed tomography and magnetic resonance imaging of the brain showed features consistent with posterior reversible encephalopathy syndrome. Her medications included tacrolimus, sirolimus, and prednisone. She endorsed smoking 4 grams of cannabis per day. Following cessation of tacrolimus, the patient’s encephalopathy and visual disturbances resolved. Discussion: To our knowledge, this case represents the longest documented time elapsed between liver transplantation and development of PRES. In our case, we postulate that the patient’s substantial cannabis use contributed to this unique, late presentation of tacrolimus-associated PRES. The constituents of cannabis are inhibitors of CYP 3A4 and acts as a substrate for P-glycoprotein, two proteins that affect the metabolism of tacrolimus. There are case reports of cannabis use influencing tacrolimus metabolism in both hematopoietic stem cell and kidney transplant recipients. A 2019 case report documented the development of PRES 5 days post-liver transplantation in a patient on tacrolimus as well as medical cannabis lozenges. Our case reinforces the need to consider PRES in the differential diagnosis of liver transplant patients presenting with altered mental status, as well as a potentially dangerous association between cannabis use and tacrolimus-associated PRES. Healthcare providers should familiarize themselves with potential drug-drug interactions involving cannabis. This is particularly true for tacrolimus given the increasing number of reports documenting tacrolimus toxicity associated with cannabis use in patients with solid organ transplants.Figure 1.: (a) A 45-year-old woman underwent an emergent computerized tomography of her head for altered mental status and visual disturbances. There were areas of hypoattenuation in the subcortical occipital lobes bilaterally (white arrow). (b) Subsequent fat-saturated T2-weighted magnetic resonance images of the brain showed hyperintense signal in the subcortical white matter of the posterosuperior frontal (white arrowheads) and superior parietal (black arrowheads) lobes. There was also involvement of the occipital lobes and left cerebellum (not shown). (c,d) Axial T2-weighted fluid attenuated inversion recovery (FLAIR) images demonstrate hyperintense signal in the posterior occipital (c, arrowheads) and parietal (d, arrowheads) lobes. The findings were favored to represent posterior reversible encephalopathy syndrome.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.160

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 head0.016
GPT teacher head0.265
Teacher spread0.250 · 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 designObservational
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".

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Citations1
Published2021
Admission routes1
Has abstractyes

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