Late Onset Sepsis and Incomplete Kawasaki Disease in a 3-Month-Old Infant: A Case Report and Literature Review
Bibliographic record
Abstract
Despite advances in the antimicrobial therapy and implementation of a multitude of screening protocols, group B streptococcus (GBS) infection remains a major cause of morbidity and mortality in newborns and young infants. The incidence of GBS septicemia, however, declines drastically with age, and it is rarely implicated as a cause of sepsis in infants older than 2 months. Recently we were involved in caring for a female infant from Brooklyn who presented with subtle signs of infection and her blood culture later grew GBS. She also had significant coronary artery dilatation suggestive of another ongoing inflammatory process which could not be justified solely by a GBS infection. Kawasaki disease (KD) is an acute febrile illness of childhood characterized by self-limited vasculitis and is known to cause coronary artery changes if not treated timely. The first case of this unusual illness was observed by Tomisaku Kawasaki in 1961 in a 4-year-old child who presented with an unremitting fever and a rash. Even though five decades have passed, no laboratory gold standard is available and like all clinical entities which are diagnosed exclusively by presence of clinical signs, KD too is vulnerable to underestimation depending upon the specificity of signs used for its identification. Int J Clin Pediatr. 2014;3(2):51-54 doi: http://dx.doi.org/10.14740/ijcp147w
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".