Most Commonly Isolated Bacteria in Urine and their In Vitro Sensitivity to Antibiotics in Men with Benign Prostatic Hyperplasia
Bibliographic record
Abstract
Benign prostatic hyperplasia (BPH) and associated lower urinary tract symptoms commonly affect older men. Men with BPH in Podgorica in almost half (47.5%) cases have positive urine culture, out of which 14.2% have polyinfection. Urinary tract infections are most common in the age group 71 to 80 years. Although both groups of men (with and without BPH) are more prone to gram-negative bacterial infections of the urinary tract, K. pneumoniae is significantly more common in men with BPH compared with men without BPH. The results indicate that treatment of men with BPH is much more complex than in men without BPH due to the fact that in the treatment, a number of strains are resistant to levofloxacin (resistance of gram-negative bacteria to levofloxacin at the level of 80.4%, with 89.7% of resistant strains of K. pneumoniae and 73.3% of E. coli strains, as well as resistance of gram-positive bacteria at level of 24.8%, with resistant strains of enterococci in 64.7% of the strains) and Ž²-lactam antibiotics (53.4% of isolated gram-negative bacteria synthesize ESBL enzymes out of which K. pneumoniae in up to 89.7% of the strains). Also, men with BPH have multi drug resistant strains in 53.1% of gram-positive bacteria and 79.7% of gram-negative bacteria. Carbapenems still represent a reserve group of drugs that have a good therapeutic effect in 93.2% of urinary tract infections in men with BPH.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".