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Record W4240664965 · doi:10.21203/rs.3.rs-32714/v1

A Real-World Study for Polymyxin B in the Treatment of Carbapenems Resistant Gram-Negative Bacilli

2020· preprint· en· W4240664965 on OpenAlexaff
Xiaojuan Zhang, Shaoyan Qi, Xiaoguang Duan, Bing Han, Shuguang Zhang, Shaohua Liu, Haixu Wang, Haibo Zhang, Tongwen Sun

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Toronto
FundersHenan UniversityZhengzhou UniversityHenan University of Science and Technology
KeywordsPolymyxinBacilliMicrobiologyPolymyxin BGramAntibioticsGram-negative bacteriaGram-negative bacterial infectionsMedicineBacteriaBiologyEscherichia coli

Abstract

fetched live from OpenAlex

Abstract Background: High morbidity and mortality due to carbapenem-resistant Gram-negative bacilli (CRGNB) was a challenge for clinicians has led to the resurgence of polymyxin B (PMB) use in the last decade. The goal of our multicenter, real-world study was to evaluate the efficacy and safety of PMB in the treatment of CRGNB.Methods: The real-world study included the patients with intravenous PMB at least 7 days during the period of October 2018 to June 2019. Data was collected from electronic patients register and follow-up. The primary outcome was 28-day mortality, the secondary outcomes included hospital mortality, occurrence of adverse events during PMB therapy. Associations between these variables and 28-day mortality or all-cause hospital mortality were explored through univariate analyses and multivariable logistic regression. At the same time, therapeutic effects were observed. Results: The study included 100 patients. There were 39% presence of septic shock, 49% need mechanical ventilation at the beginning of therapy. The infection and condition improved after 7 days of PMB treatment. The major adverse reactions occurred in 16 cases (16%). The overall 28-day mortality was 40%. In terms of clinical characteristics, mean Sequential Organ Failure Assessment (6.77 versus 9.25,P = 0.004),mean Acute Physiology and Chronic Health Evaluation II (APACHEII) scores (16.17 versus 19.78, P = 0.016) and the number of patient with mechanical ventilation (21 versus 30, P = 0.000) or septic shock (17 versus 32, P = 0.000) were lower in survivors group than nonsurvivors group. The mortality of 85 patients with identify pathogens was 38.82%, while the mortality of patients with negative pathogen culture results was 46.67% (P = 0.580). Multivariate analysis showed that mechanical ventilation (P = 0.023, OR = 3.5; CI: 1.194–10.739), septic shock (P = 0.002, OR = 5.960; CI: 1.923–18.473) were associated with 28-day mortality.Conclusion: Our research found that PMB may be as effective and safe as standard antibiotics for the treatment of CRGNB. Timely and appropriate use of PMB will have a positive impact on the clinical outcomes of patients with sepsis in CRGNB.

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)0.009
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.322
Teacher spread0.286 · 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 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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