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Record W2587868942 · doi:10.1093/ofid/ofw172.05

Use of Quantitative Polymerase Chain Reaction in Blood and Cerebrospinal Fluid as a Predictor of Severity in Congenital Cytomegalovirus Infection

2016· article· en· W2587868942 on OpenAlexaffabout
Mina Smiljkovic, Christian Renaud, Dorothée Leduc, Isabelle Boucoiran, Valérie Lamarre, Fatima Kakkar

Bibliographic record

VenueOpen Forum Infectious Diseases · 2016
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineCerebrospinal fluidPolymerase chain reactionCytomegalovirusVirologyReal-time polymerase chain reactionImmunologyPathologyHerpesviridaeVirusViral diseaseGeneticsGeneBiology

Abstract

fetched live from OpenAlex

Background. There is currently no consensus (1) on the role of quantitative polymerase chain reaction (qPCR) in the management of infants with congenital cytomegalovirus (cCMV) infection or (1) on the need for routine lumbar puncture in infected infants. We describe (1) the use of qPCR in the blood and cerebrospinal fluid (CSF) as a means of guiding treatment in cCMV infection and (2) the correlates of baseline PCR values to clinical outcome. Methods. We conducted a retrospective review of all cases of cCMV infection diagnosed at CHU Sainte-Justine, Montreal, Canada, between 2005 and 2015. Infants were included in the analysis if blood qPCR was done at time of diagnosis (baseline), and they had neuroimaging and audiology assessments. Patients were considered symptomatic if they had any abnormal hearing or neuroimaging findings. Results. Thirty-two cases of cCMV were included in the analysis. In 9 patients (28%), diagnosis was made due to maternal seroconversion during pregnancy, 19 (59%) were diagnosed on the basis of neonatal symptomatology, and 4 (12%) were diagnosed as part of neonatal screening for at-risk patients (failed neonatal screening or infant of human immunodeficiency virus-infected mother). Baseline blood qPCR was positive in all 32 patients (mean, 136 671 copies/mL; range, 513–1 077 461 copies/mL), with 11 (34%) who had a viral load (VL) <10 000 copies/mL, 13 (41%) between 10 000 and 100 000 copies/mL, and 8 (25%) greater than 100 000 copies/mL at baseline. Thirty-six percent of patients with VL <10 000 copies/mL had abnormal neuroimaging findings, versus 75% of patients with VL >100 000 copies/mL (P =0.2), whereas 50% of patients with VL <10 000 copies/mL had sensorineural hearing loss (SNHL), versus 71% of those with VL >100 000 copies/mL (P = 0.6). In 24 of the 32 patients, lumbar puncture was performed. In 7 of 24, CSF qPCR for CMV was positive (CSF+) (mean, 410 ± 238 copies/mL). Among those CSF+, 85% (6 of 7) had abnormal neuroimaging findings, versus 64% (11 of 17) of those whose CSF was negative (CSF−). Eighty-five percent of the CSF+ infants had SNHL, versus only 52% of those who were CSF−. Conclusion. Our findings suggest (1) a possible association between baseline qPCR VL >100 000 copies/mL and positive CSF and (2) the presence of SNHL and/or abnormal neuroimaging findings. Further study is necessary among larger cohorts to confirm these findings. Disclosures. All authors: No reported disclosures.

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)0.004
metaresearch head score (Gemma)0.011
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 score0.008
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.322
Teacher spread0.291 · 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".

Quick stats

Citations1
Published2016
Admission routes2
Has abstractyes

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