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Record W3091493871 · doi:10.1159/000510916

Slow Recovery from Critical Coronavirus Disease 2019 Pneumonia in an Immunosuppressed Renal Transplant Recipient with Early Acute Cardiorenal Syndrome

2020· article· en· W3091493871 on OpenAlexaff
Lan Zhu, Hongge Shu, Huijun Li, Tao Qiu, Jiangqiao Zhou, Gang Chen

Bibliographic record

VenueCardiorenal Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsMinistry of Agriculture
FundersTongji Medical College, Huazhong University of Science and TechnologyTongji UniversityHuazhong University of Science and Technology
KeywordsMedicineCardiorenal syndromePneumoniaAcute kidney injuryIntensive care medicineInternal medicineKidneyDiuresisViral pneumoniaLungCoronavirus disease 2019 (COVID-19)ImmunologyDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

With the global spread of SARS-Cov-2 infections, increasing numbers of COVID-19 cases have been reported in transplant recipients. However, reports are lacking concerning the treatment and prognosis of COVID-19 pneumonia in renal transplant recipients with acute cardiorenal syndrome. We report here the complete clinical course of a renal transplant recipient with critical COVID-19 pneumonia. In the early phase of SARS-Cov-2 infection, the patient exhibited extensive lung lesions and significant acute kidney and heart injuries, which required treatment in the ICU. After correcting the arrhythmia and heart failure, the patient recovered quickly from the acute kidney injury with a treatment of intensive diuresis and strict control of fluid intake. Without cessation of oral immunosuppressive agents, the patient presented a delayed and low antibody response against SARS-Cov-2 and reappeared positive for the virus twice after being discharged. Nevertheless, the patient's pneumonia continued to improve and he fully recovered in 69 days. This effectively treated case may be meaningful and referable for the treatment of COVID-19 pneumonia in other transplant recipients with acute cardiorenal syndrome.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.374
Teacher spread0.325 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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