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Record W2325347814 · doi:10.1155/2016/8372835

Successful Treatment of Hepatitis C with Simeprevir, Sofosbuvir, and Ribavirin in an HIV Coinfected Liver Transplant Patient with Advanced Chronic Kidney Disease

2016· article· en· W2325347814 on OpenAlexaff
Anna Maruyama, Trana Hussaini, Nilufar Partovi, Siegfried R. Erb, Vladimir Marquez Azalgara, Nadia Zalunardo, Neora Pick, Mark Hull, Eric M. Yoshida

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2016
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsAIDS VancouverUniversity of British Columbia
Fundersnot available
KeywordsSimeprevirMedicineSofosbuvirRibavirinHepatitis CInternal medicineCoinfectionHepatitis C virusRegimenAdverse effectKidney diseasePopulationLiver diseaseVirologyHuman immunodeficiency virus (HIV)Virus

Abstract

fetched live from OpenAlex

Although major advances have occurred in treating patients with hepatitis C virus (HCV) with the development of new direct-acting antivirals (DAAs), treatment of liver transplant recipients with HCV, human immunodeficiency virus (HIV) coinfection, and renal disease is challenging due to the lack of efficacy and safety data in this population. We report a case of successful HCV therapy in a postliver transplant HIV coinfected patient, with stage 4 chronic kidney disease, using an all-oral regimen of simeprevir, sofosbuvir, and ribavirin. The 51-year-old male achieved SVR24, and no specific HIV-related or transplant-related adverse events were documented during the treatment period. The new DAAs show promise for HIV coinfected patients and those with severe to end-stage renal disease (ESRD); however, robust clinical trials or large cohort studies will need to be conducted to confirm the efficacy and safety of these newer agents in this setting.

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 score0.102
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.005
GPT teacher head0.232
Teacher spread0.226 · 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".

Quick stats

Citations36
Published2016
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Infectious Diseases and Medical MicrobiologySame topicHepatitis C virus researchFrench-language works237,207