Current Status of Bacterial Resistance in Obstetric Patients in a Third Level Center
Bibliographic record
Abstract
Background: The aim of the study was to know the range of bacterial resistance in pathogens of epidemiological importance isolated from urine samples, secretion of surgical wound and blood culture in the Instituto Nacional de Perinatologia. Methods: In this retrospective study, we reviewed all the antibiograms obtained from isolates of microorganisms from: urine, surgical wound secretion and blood culture of obstetric patients (pregnancy and puerperium) in the period from January 2016 to June 2019 at the Instituto Nacional de Perinatologia. Results: A total of 3,322 microorganisms were isolated, 2,882 from urine sample, 270 from surgical wound secretion and 170 from blood cultures. The most frequent microorganism isolated was Escherichia coli (2,223 isolates), 2,042 from urine samples, 98 from surgical wound secretion and 83 from blood cultures. Conclusions: The use of the results of antimicrobial susceptibility of the isolated microorganisms allowed producing record from 2 years of pharmacological resistance for most of the species of epidemiological importance. Same results will allow initiating an empirical management under a sustenance of scientific evidence. J Clin Gynecol Obstet. 2019;8(4):103-106 doi: https://doi.org/10.14740/jcgo599
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".