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A Prospective Multi-Center Observational Trial to Evaluate a CMV-specific ELIspot Assay in Solid Organ Transplant (SOT) Recipients

2018· article· en· W2884726266 on OpenAlexaff
Deepali Kumar, Peter Chin‐Hong, Liise K. Kayler, David Wojciechowski, Ajit P. Limaye, Osama Gaber, Simon Ball, Aneesh K. Mehta, Ted Blanchard, Camille N. Kotton

Bibliographic record

VenueTransplantation · 2018
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineELISPOTSerostatusCytomegalovirusInternal medicineImmunologyTransplantationValganciclovirClinical endpointObservational studyKidney transplantationClinical trialViral loadCytomegalovirus infectionViral diseaseImmune systemHuman cytomegalovirusHuman immunodeficiency virus (HIV)VirusHerpesviridaeT cell

Abstract

fetched live from OpenAlex

Introduction CMV replication in transplant recipients is primarily controlled by the T-cell response. We evaluated the role of a novel CMV-specific ELISPOT assay to predict protection against CMV infection in SOT recipients. Materials and Methods This was a multi-center (43 sites), prospective, observational study of kidney transplant recipients at risk for CMV. Subjects were enrolled either pre-transplant or during initial anti-viral prophylaxis. Clinical management was performed according to local institutional protocols. Cell-mediated immunity (CMI) was determined using an ELISPOT assay that evaluated responses to CMV-specific antigens IE-1 and pp65, from the capture of IFN-γ enumerated as spot counts (T-SPOT.CMV, Oxford Immunotec). CMV CMI and quantitative PCR (Roche Cobas) were assessed at 1, 2, 3, 4 and 6 months following completion of anti-viral prophylaxis. CMV events necessitated a change in anti-viral therapy or immunotherapy to be eligible for analysis. The endpoint was the first occurrence of CMV disease or CMV infection after the completion of prophylaxis. T-SPOT values taken at the completion of prophylaxis were analyzed to predict protection against CMV up to 1 year post-transplant. Results Of the 597 subjects enrolled, 411 were included in the analysis based on having valid TSPOT counts within ± 30 days of the completion of prophylaxis and a non-missing date of completion of prophylaxis. Of the 411 subjects, 203 were R+ (49%), 178 were D+/R- (43%), 22 were D-/R- (5%) and 8 subjects had unknown CMV serostatus. The majority of patients were white (67%), male (62%), and median age was 52. Most patients received 3 months of antiviral prophylaxis (55%) vs 6 months of prophylaxis (44%). 3 subjects did not receive any antiviral prophylaxis (1%). Of the 411 eligible subjects, 87 had an IE-1 response of > 50 spots at the completion of prophylaxis. In this group, 1 of 87 developed CMV infection following the completion of prophylaxis, resulting in a negative predictive value (NPV) against the occurrence of a CMV event of 98.9% (p=0.0014) (see Figure 1). Using the same cut-off for pp65, the NPV against the occurrence of a CMV event was 96.5% (p=<0.0001) (see Figure 2).Conclusion To date, this is the largest prospective study on the use of IFN-γ release assays to predict the risk of CMV infection in organ transplant recipients. We show that T-SPOT.CMV IE-1 and pp65 spot counts > 50 at the completion of prophylaxis are a significant predictor of protection against CMV infection/disease in SOT recipients.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.115
GPT teacher head0.397
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), 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
Published2018
Admission routes1
Has abstractyes

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