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Record W2765921029 · doi:10.1093/ajcp/aqx045

Is Standard Histology Sufficient to Detect Cytomegalovirus Reactivation in Inflammatory Bowel Disease?

2017· letter· en· W2765921029 on OpenAlexaff
Parul Tandon, Jeffrey D. McCurdy, Thomas C. Smyrk

Bibliographic record

VenueAmerican Journal of Clinical Pathology · 2017
Typeletter
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsInflammatory bowel diseaseHistologyMedicineCytomegalovirusPathologyImmunologyVirologyDiseaseViral diseaseVirusHerpesviridae

Abstract

fetched live from OpenAlex

We read with great interest the recent article by Solomon et al,1 who assessed the diagnostic accuracy of viral cytopathic effect (VCPE) for detecting routine viral infections in surgical specimens. The authors determined the sensitivity and specificity of VCPE from H&E-stained surgical specimens compared with immunohistochemistry (IHC) as the reference standard and evaluated if changes in therapeutic decisions were required in cases of positive IHC in the absence of detectable VCPE. We were particularly interested in the results regarding the diagnostic accuracy of IHC for cytomegalovirus (CMV). From 59 positive samples by IHC, it was demonstrated that definitive VCPE had a sensitivity of 67.8%. Therefore, the authors concluded “the presence of VCPE on H&E sections is sufficient for diagnosis in most cases.” We have substantial concerns regarding the generalizability of these results in light of potential methodologic limitations and conflicting studies, particularly when considering patients with inflammatory bowel disease (IBD). The sensitivity of H&E histology for CMV reactivation in IBD is consistently poor. We previously demonstrated that H&E histology, when assessed prospectively, has an overall sensitivity of only 25% for detecting CMV reactivation compared with IHC.2 Even in patients with high-grade CMV disease, defined as five or more inclusions by IHC, the sensitivity of H&E histology was only 44%.2 Similarly, in a systematic review and meta- analysis assessing 373 patients with IBD from nine studies, the overall sensitivity of H&E histology was 12.5% (95% confidence interval [CI], 3.6%-21.4%), 34.6% (95% CI, 13.8%-55.4%) compared with IHC as the reference standard, and 4.7% (95% CI, 1.2%-17.1%) compared with tissue polymerase chain reaction (PCR) as the reference standard.3 The low diagnostic yield of CMV in IBD may be related to a “needle in a haystack” phenomenon.4 In keeping with this concept, we previously demonstrated that the diagnostic yield is greater when samples are re-reviewed.2 In the current study, the sensitivity of VCPE for CMV was determined retrospectively by re-reviewing tissue samples instead of from the original pathology reports and was determined by three pathologists. Both of these factors are likely to have increased the overall sensitivity of VCPE and do not reflect real-world practice. It has also been proposed that the typical histologic changes associated with CMV infection, including large cells with thickened nuclear membranes, granular cytoplasmic inclusions, and basophilic intranuclear inclusion bodies surrounded by a clear halo, classically described as the “owl’s-eye” appearance, may not necessarily occur in IBD.5 Although it is unclear how many patients in the current study had underlying IBD, only 53.2% of samples in the overall study were from a gastrointestinal origin. Therefore, the results from the current study cannot be generalized to patients with IBD. Recent studies have demonstrated the usefulness of ancillary testing for predicting the pathogenicity of CMV and response to antiviral therapy. Jones et al6 recently demonstrated that the degree of viral burden by IHC predicted surgery-free survival in patients treated with antiviral therapy. Similarly, high-grade disease by tissue PCR, defined as more than 370 IU/100,000 cells, predicted resistance to multiple lines of immunosuppressive agents in patients with IBD.7 Of particular importance, none of the patients in the latter study had evidence of VCPE. These findings underscore the importance of ancillary testing for CMV detection in IBD and support the recommendations of multiple gastroenterological societies, which state that IHC or tissue PCR be the tests of choice for diagnosing colonic CMV reactivation in IBD.8,9 We agree with the authors’ assertion that ancillary tests for CMV are costly and not always necessary. Therefore, identifying patients with IBD at highest risk for CMV reactivation and those who are most likely to benefit from antiviral therapy is essential for responsible resource allocation. A clinical prediction model has recently been proposed.10 In this study, medical- refractory disease, immunomodulator exposure, and age older than 30 years inferred a higher risk of CMV reactivation. Moreover, we have previously demonstrated that patients with IBD associated with corticosteroid- refractory disease are most likely to respond to antiviral therapy.11 In conclusion, reliance on VCPE in high-risk patients with IBD without ancillary testing may miss clinically relevant CMV disease and place patients at risk of morbidity and mortality. Furthermore, IHC and tissue PCR are the only diagnostic tests that have been formally studied to help distinguish “clinically relevant” CMV from CMV that exists as an “innocent bystander.” Therefore, based on the currently available data, we recommend against standard histopathology alone without ancillary testing for CMV in patients with IBD at high risk for CMV reactivation.

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)0.024
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: none
Teacher disagreement score0.012
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0120.009
Insufficient payload (model declined to judge)0.0020.003

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 head0.058
GPT teacher head0.411
Teacher spread0.353 · 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
Published2017
Admission routes1
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