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
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».