Fatal Meningitis and Sepsis Caused by Nontypeable <i>Haemophilus influenzae</i>
Bibliographic record
Abstract
The rates of nontypeable Haemophilus influenzae (NTHi) invasive disease have been increasing since the introduction of the Haemophilus influenzae type b (Hib) vaccine, but its significance in adults is unclear. A 33-year-old man with human immunodeficiency virus (HIV) was admitted for fever and acute confusion. The day prior to admission he presented to another emergency department for nausea, vomiting and diarrhea where he was thought to have food poisoning and was sent home. Ten days prior to admission, his primary physician thought his nasopharyngitis symptoms were due to the common cold. The patient’s HIV had been controlled on antiretroviral therapy for the past 3 years; 1 month prior to admission his viral load was undetectable. Laboratory evaluation on admission was significant for elevated lactic acid and CD4 + cell count of less than 200. A head computed tomography (CT) was unremarkable, but a lumbar puncture was consistent with bacterial meningitis. Neisseria meningitidis was suspected and the patient was placed on empiric antibiotics. Shortly after admission the patient was intubated and suffered a cardiac arrest. The patient was placed on vasopressor support after circulation returned; a repeat head CT showed increased swelling of his brain. An electroencephalogram (EEG) indicated complete suppression of activity and the patient expired on day 2 of hospitalization. After the patient’s death, cerebrospinal fluid (CSF) cultures reported as positive for Haemophilus influenzae ( H. influenzae ) and sent to the state lab where it was further classified as NTHi, biotype I. NTHi strains can cause invasive disease in adults and should be considered as a potential pathogen for meningitis and bacteremia. J Med Cases. 2022;13(8):396-401 doi: https://doi.org/10.14740/jmc3974
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".