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Record W3108842476 · doi:10.3949/ccjm.87a.19132

Fever in a lung transplant recipient

2020· article· en· W3108842476 on OpenAlexaff
Graham Walter, Hanna Lyubetska, Aditya Sharma

Bibliographic record

VenueCleveland Clinic Journal of Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineChillsNauseaDiarrheaLungIntensive care medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

A 36-year-old woman presented to the emergency department in June 2019 after experiencing high fevers, chills, nausea, decreased oral intake, and diarrhea for 4 days.Her medical history included cystic fi brosis with resultant exocrine insuffi ciency, and type 2 diabetes mellitus.In addition, she had received a double lung transplant 9 years earlier, for which she was on a long-term immunosuppressive regimen.The donor had been positive for cytomegalovirus (CMV), whereas the patient had been negative for both CMV and Epstein-Barr virus (EBV).The EBV status of her donor was unavailable.However, the patient's EBV serology was negative when tested 6 months before this presentation, and she was also known to be negative for both hepatitis B and hepatitis C.She also had a history of stage 3a proteinuric chronic kidney disease with a baseline serum creatinine level of 1.2 mg/dL, hypertension, and an episode of acute transplant rejection in 2014, which resolved with conservative treatment with glucocorticoids.Her home medications were azathioprine, calcium carbonate, cholecalciferol, ferrous sulfate, insulin neutral protamine Hagedorn, insulin aspart with meals, labetalol, a daily multivitamin, prednisone, tacrolimus, ranitidine, and pancreatic enzyme replacement with meals.She was a lifelong nonsmoker with little alcohol intake, and she said she does not use illicit drugs.She had no recent sick contacts, though she had been hospitalized 4 months earlier for Pseudomonas aeruginosa pneumonia, from which she had fully recovered. ■ INITIAL EVALUATION Physical examinationOn presentation to the emergency department, she was normotensive, febrile with a temperature of 39.5°C (103.1°F), and tachycardic with a heart rate of 133 beats per minute.Jugular venous pulsation was visible 1 cm above the sternal angle, and respiratory examination revealed fi ne crackles in the right upper lobe.There was a soft systolic ejection murmur, grade 2 on a scale of 6, heard best at the right upper sternal border.Her abdomen was nontender on palpation, but her liver could be felt 3 cm below the right costal margin and the spleen at 7 cm below the left costal margin.Palpation of the head and neck revealed small diffuse lymphadenopathy.The patient also had prominent right axillary and inguinal lymphadenopathy. Initial investigationsOn initial testing (Table 1), her serum sodium concentration was 131 mmol/L and her potassium level was 5.6 mmol/L.Her creatinine level was 2.5 mg/dL, up from a baseline of 1.24 mg/dL, consistent with an "acute-on-chronic" kidney injury.She had elevated liver enzymes and bilirubin, as well as neutropenia with an absolute neutrophil count of 0.57 × 10 9 /L.Urinalysis was negative for nitrites, leukocytes, glucose, bilirubin, and protein, with a nonactive sediment on microscopy.Liver enzyme analysis revealed the following levels: aspartate aminotransferase 43 U/L, alanine aminotransferase 33 U/L, lactate dehydrogenase 563 U/L, gamma-glutamyl transferase 342 U/L, and alkaline phosphatase 888 U/L.Ferritin was elevated at 1,983 ng/mL (normal 20-200 ng/mL), and her nonfasting

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.093
GPT teacher head0.385
Teacher spread0.291 · 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 designCase report
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

Citations0
Published2020
Admission routes1
Has abstractyes

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