Risk factors and drug resistance of adult community-onset urinary tract infections caused by <i>Escherichia coli-</i> producing extended-spectrum β-lactamase in the Chongqing region, China: a retrospective case–control study
Bibliographic record
Abstract
Objective To evaluate the prevalence, resistance and risk factors of community-onset urinary tract infections (COUTIs) caused by extended-spectrum β-lactamase-producing Escherichia coli (ESBL-EC) for providing a basis for the selection of clinical therapeutic agents. Design A retrospective case–control study. Setting The Affiliated Dazu Hospital of Chongqing Medical University (also known as The People’s Hospital of Dazu Chongqing), a 1000-bed tertiary hospital in China. Data and participants This study encompassed adult patients diagnosed with community-acquired urinary tract infections (UTIs) caused by E. coli between May 2017 and December 2022 with exclusion criteria including incomplete clinical data, disagreement to participate in the study, hospitalisation duration exceeding 48 hours prior to confirmation of diagnosis and prior history of urinary tract infection caused by E. coli . Outcome measures The risk factors for COUTIs caused by ESBL-EC were evaluated using a case–control design, defining patients who were diagnosed with UTIs and had an ESBL-positive urine culture as the case group and patients who were diagnosed with UTIs and had an ESBL-negative urine culture as the control group. Perform drug susceptibility testing and resistance analysis on isolated ESBL-EC. Results In total, 394 cases of COUTIs caused by E. coli were included; 192 cases were ESBL-positive with a detection rate of 48.7% (192/394). Parenchymal tumour, history of urolithiasis stone fragmentation, history of urological surgery, hospitalisation within 6 months, indwelling catheter outside the hospital and antibiotic use (mainly third-generation cephalosporins) were the factors significantly associated with COUTIs caused by ESBL-EC (p<0.05) through logistic regression for univariate analysis. Multivariate analysis revealed that a history of urolithiasis stone fragmentation (OR=2.450; 95% CI: 1.342 to 4.473; p=0.004), urological surgery (OR=3.102; 95% CI: 1.534 to 6.270; p=0.002), indwelling catheter outside hospital (OR=2.059; 95% CI: 1.025 to 4.133; p=0.042), hospitalisation within 6 months (OR=2.127; 95% CI: 1.207 to 3.748; p=0.009) and use of third-generation cephalosporins (OR=1.903; 95% CI: 1.069 to 3.389; p=0.029) were the independent risk factors for COUTIs caused by ESBL-EC. The results of the drug susceptibility testing revealed that ESBL-EC exhibited the highest resistance rates to ampicillin, ceftriaxone and cefixime, all at 100%. Mezlocillin followed with a resistance rate of 98.7%. On the other hand, ESBL-EC strains displayed the highest sensitivity to carbapenem antibiotics (imipenem, meropenem, ertapenem) and amikacin, all at 100%. Sensitivity rates were also high for cefotetan at 96.6%, piperacillin/tazobactam at 95.3% and nitrofurantoin at 87.9%. Conclusions Our results revealed high ESBL-EC detection rates. COUTIs caused by ESBL-EC are more likely to occur in patients with parenchymal tumour, a history of urolithiasis stone fragmentation, a history of urological surgery, hospitalisation within 6 months, indwelling catheter outside the hospital and use of third-generation cephalosporins. These patients were highly resistant to penicillins, cephalosporins and quinolones.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".