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Record W50695218 · doi:10.1155/2013/248397

Overwhelming Sepsis after a Cat Bite

2013· article· en· W50695218 on OpenAlexaff
Julie Blackburn, Émilie Tremblay, Catherine Tsimiklis, Benoît Thivierge, Valéry Lavergne

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsHôpital du Sacré-Cœur de MontréalUniversité de Montréal
Fundersnot available
KeywordsMedicineChillsSeptic shockCellulitisPast medical historySepsisChest radiographSurgeryIntensive care unitInternal medicine

Abstract

fetched live from OpenAlex

In mid-June, a 52-year-old man presented to the emergency department with fever, chills and a rapidly progressing erythema on his right hand without regional lymphadenopathy, a few days after being bitten by his domestic cat. The patient resided in a rural area and had a history of chronic alcohol consumption. The cat lived primarily outdoors and its immunization status was unknown. Pasteurella multocida cellulitis was suspected, oral amoxicillin-clavulanate was prescribed and the patient was discharged. Three days later, the cellulitis regressed completely but the patient sought medical attention for persisting fever and new-onset jaundice and dyspnea. On physical examination, he was hypotensive, exhibited hepatosplenomegaly and presented a centimetric necrotic ulcer on his right hand. The patient’s hematological results revealed leukopenia, thrombopenia and an elevated international normalized ratio. His biochemistry results revealed acute renal and liver failure. His chest radiograph was normal. The patient’s condition rapidly deteriorated to septic shock and multiple organ failure. He required mechanical ventilation, vasopressive support and renal replacement therapy. Intravenous piperacillin-tazobactam and vancomycin were empirically started; he was transferred to a tertiary care hospital the next day. On arrival to the intensive care unit, a septic workup was repeated and the patient’s hand ulcer was surgically debrided and tissue was sent for culture. Antibiotic treatment was switched to intravenous meropenem and vancomycin for sepsis of unknown origin. The patient developed further ascites. A percutaneous cholecystostomy was performed for suspected acalculous cholecystitis. The bile and the cloudy ascitic fluid were also cultured. Despite aggressive medical therapy, the patient’s condition failed to improve during the following two days and the family decided not to further pursue active treatments. At the time of the patient’s death, viral hepatitis serology and all bacterial cultures were negative. The following day, the aerobic blood cultures showed small Gramnegative coccobacilli. What is the diagnosis? DIAGNOSIS After four days of incubation, the plates of aerobic blood cultures grew small grey colonies on chocolate agar and on initial sheep blood agar. The same isolate was identified in all other specimens (necrotic ulcer, bile, ascites and endotracheal secretion). Laboratory technicians were instructed to handle the plates inside the biosafety cabinet because Francisella tularensis was suspected. The Gram stain of the colonies showed the same tiny Gram-negative coccobacilli. The organism was tetramethyl-oxidase negative, weakly catalase positive and nonmotile. The isolate was sent to the provincial reference laboratory, which confirmed the identification of F tularensis. Following the postmortem diagnosis, an investigation headed by the regional public health agency revealed that the cat was still in good health and its serology for F tularensis was negative. Other domestic and wild animals in the area also tested negative. There were no other cases of tularemia reported in the region during the rest of the summer. Nevertheless, informational pamphlets on tularemia were distributed to local small game hunters and warnings were published in regional newspapers to increase public awareness. DISCUSSION

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.363
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.003
GPT teacher head0.199
Teacher spread0.195 · 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".

Quick stats

Citations4
Published2013
Admission routes1
Has abstractyes

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