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Record W4403071436 · doi:10.1093/clinchem/hvae106.302

A-307 Clinical utility of serum calprotectin in febrile infants presenting to the Emergency Department

2024· article· en· W4403071436 on OpenAlexaffabout
M Bohn, Aleksandra Mandic Havelka, Mats Eriksson, Khosrow Adeli

Bibliographic record

VenueClinical Chemistry · 2024
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsEmergency departmentCalprotectinMedicineEmergency medicineMedical emergencyIntensive care medicineInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Antimicrobial stewardship involves a delicate balance between the risk of undertreating individuals and the potential societal burden of overprescribing antimicrobials. However, early and accurate diagnosis of bacterial infections in critically ill patients is challenging, as the clinical manifestation is non-specific. Furthermore, the results from microbial cultures may be delayed, resulting in delayed antibiotic treatment, which is associated with increased mortality. Neutrophil activation is a major response to bacterial infection and calprotectin is the most abundant protein in the cytosolic fraction of neutrophils, shown as an early marker for neutrophil activation. The objective of this study was to evaluate the clinical performance of serum calprotectin in identifying bacterial infection in febrile infants presenting to an Emergency Department (ED) relative to other common biomarkers of infection. Methods 141 infants aged 28-90 days with suspected infectious disease presenting to the ED at The Hospital for Sick Children in Toronto, were included in this non-interventional investigation. All biomarkers except calprotectin were used in the routine clinical adjudication of the final diagnosis. Residual serum specimens collected as part of the standard care pathway were stored at -80°C prior to analysis of serum calprotectin using GCAL® assay (Gentian AS, Norway). Chart review was completed for key variables including, age (days), sex, chief complaint and temperature at ED presentation, and available laboratory test results (i.e., C-reactive protein and procalcitonin (Architect, Abbott Diagnostics), WBC count and neutrophil count (XN3000, Sysmex Europe GmbH), urinary leukocytes and nitrates, blood and/or urine bacterial culture). Final diagnosis, admission status, and antibiotic prescription at ED discharge were also extracted. Results Final discharge diagnosis in patient population included bacterial infection (n=23), viral infection (n=22), fever of unknown source (n=54) and other/unknown diagnosis (n=42). Antibiotics were prescribed in 36 cases, although bacterial infection could only be confirmed in 23 cases when final diagnosis was made. Statistically significant differences were observed in serum calprotectin (p<0.001), procalcitonin (p<0.001), and CRP (p<0.001) in patients with bacterial infections compared to patients with other discharge diagnoses. ROC curve analysis was performed for the identification of bacterial infections in the entire clinical cohort (n=141) and in only patients with laboratory confirmed bacterial or viral infection (n=41). Calprotectin and procalcitonin showed higher specificity than CRP and WBC count for differentiation between bacterial and viral infection in both cohorts. Performance of calprotectin in detection of bacterial infections was comparable to the performance of CRP, slightly better than performance of procalcitonin and superior to WBC count. Conclusions In this cohort, one third of the children that were prescribed antibiotics did not have confirmed bacterial infection. Hence, there is a need for adequate diagnostic tools to help discriminate between various kinds of infections. This study confirms serum calprotectin as a valuable biomarker for differentiation between types of infection and estimation of disease severity in febrile infants. Access to fast and accurate analysis of circulating calprotectin, combined with good clinical performance has the potential to make this biomarker a valuable complement to the current diagnostics of patients with bacterial infections and sepsis.

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)0.006
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.164
GPT teacher head0.524
Teacher spread0.360 · 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.

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
Published2024
Admission routes2
Has abstractyes

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