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Record W4311746290 · doi:10.1093/ofid/ofac492.1726

2104. Cytomegalovirus DNAemia Patterns in Mismatched Solid Organ Transplant Recipients: A Retrospective Cohort Study.

2022· article· en· W4311746290 on OpenAlexaffabout
Oscar A. Fernández‐García, Dima Kabbani, Karen Doucette, Mark L. Robbins, Carlos Cervera

Bibliographic record

VenueOpen Forum Infectious Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineRetrospective cohort studyCohortCytomegalovirusHuman cytomegalovirusInternal medicineIncidence (geometry)Cumulative incidenceSingle CenterProportional hazards modelBetaherpesvirinaeViral loadPediatricsImmunologyViral diseaseHerpesviridaeVirus

Abstract

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Abstract Background Cytomegalovirus (CMV) seronegative solid organ transplant (SOT) recipients who receive grafts from seropositive donors are at high risk of CMV disease. Antiviral prophylaxis in usually given to this group of patients to prevent illness. Patients are still at risk of CMV after completion of prophylaxis. Surveillance after prophylaxis is used in some centres to prevent late CMV disease, but there is scant information of its efficacy. Finally, little is known on CMV kinetics post-prophylaxis in high-risk patients. Methods This was a retrospective cohort study including adult CMV mismatch (D+/R-) SOT recipients between 2003-2017 at a multiorgan transplant center in Canada. Post-prophylaxis CMV kinetics were classified into 3 patterns of DNAemia: no DNAemia, single episode of DNAemia and recurrent episodes of DNAemia. We calculated the cumulative incidence of each DNAemia pattern. We also compared 5-year mortality according to CMV DNAemia pattern by Cox-regression analysis. Patients were monitored weekly with CMV viral load for 12 weeks after completion of prophylaxis. Results Two-hundred and forty-five transplant patients were included (Table 1). Median follow up time was 9.2 years (7-12.7). Death occurred in 32 patients during the study period, the median time to death was 7.3 years (4.9-10). Pattern 1 (no CMV DNAemia) occurred in 38%, 27% had a single episode (pattern 2) of CMV DNAemia and 35% had recurrent (pattern 3) CMV DNAemia. Median time to DNAemia was 186 days. The first episode occurred at a significantly shorter interval in liver recipients when compared to non-liver recipients, 158 days (134-217) vs. 208 days (149-315), p=0.0164. Recurrent CMV DNAemia (pattern 3) was significantly more common in lung transplant recipients compared to non-lung transplant recipients. (63% vs. 32% p=0.003). Mortality at 5 years was statistically not different between CMV patterns, adjusted by organ transplanted and age (Pattern 1 reference; pattern 2 HR 1.484 [0.24-9. Table 1.Population characteristics.* Includes 16 simultaneous kidney-pancreas, pancreas after kidney or pancreas alone, 1 combined liver-kidney, 1 multivisceral. ATG: Anti-thymocyte globulin. Conclusion A surveillanceafter prophylaxis strategy allowed us to characterize the CMV kinetics post-prophylaxis, with 35% of CMV mismatch patients having recurrent CMV episodes. CMV kinetic pattern was not associated with 5 years mortality in CMV high-risk patients. Disclosures Carlos Cervera, Associate Professor, Astra-Zeneca: Advisor/Consultant|AVIR Pharma: Grant/Research Support|AVIR Pharma: Honoraria|Lilly: Advisor/Consultant|Merck: Advisor/Consultant|Merck: Grant/Research Support|Merck: Honoraria|Sunovion: Advisor/Consultant|Takeda: Advisor/Consultant|Takeda: Honoraria|VerityPharma: Advisor/Consultant.

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)0.001
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.315
Teacher spread0.299 · 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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Citations0
Published2022
Admission routes2
Has abstractyes

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