P1013CANAGLIFLOZIN AND RISK OF GENITAL INFECTIONS AND URINARY TRACT INFECTIONS IN PEOPLE WITH DIABETES MELLITUS AND KIDNEY DISEASE- A POST-HOC ANALYSIS OF THE CREDENCE TRIAL
Notice bibliographique
Résumé
Abstract Background and Aims To describe genital mycotic infections (GMI) and urinary tract infections (UTI) in the CREDENCE trial, determine whether canagliflozin increased the risk of these infections overall and in subgroups, and describe predictors of risk for genital mycotic infections. Method The CREDENCE trial randomised people with type 2 diabetes and albuminuric stage 2 and 3 chronic kidney disease to canagliflozin 100mg daily or placebo. We analysed the risk of GMI and UTI with canagliflozin compared to placebo overall and in patient subgroups. The primary analysis was conducted in the on-treatment population, as the more conservative approach with sensitivity analyses conducted using an intention-to-treat population. When canagliflozin increased risk, we determined patient risk factors for GMIs using multivariable Cox regression models adjusting for age, gender, race, markers of disease severity (body mass index (BMI), haemoglobin A1c, diabetes duration, other glucose lowering medications at baseline and kidney function). Results Overall 31/2905 (1.1%) men and 32/1492 (2.1%) women experienced 91 GMIs and 166/2905 (5.7%) men and 300/1492 (20.1%) women experienced 669 UTIs. Canagliflozin increased the risk of GMI (HR 3.83 [95% CI 2.08-7.06] p<0.0001). The hazard ratio for canagliflozin compared to placebo was consistent across most subgroups, though the risk with canagliflozin was greater in those with a higher BMI (HR 5.91 [95% CI 2.65-13.15] for BMI ≥30 kg/m2 vs HR 1.36 [95% CI 0.47-3.92] for BMI<30 kg/m2, p interaction=0.03) and was higher in men (HR 9.30 [95% CI 2.83-30.60] vs HR 2.10 [95% CI 1.00-4.45] for men and women respectively, p interaction=0.04). In those who were randomised to canagliflozin, independent risk factors for GMI were higher BMI (HR 1.53 [95% CI 1.29-1.83] per 5 units p<0.0001) and longer diabetes duration (HR 1.18 [95% CI 1.01-1.40] per 5 years p=0.04). Canagliflozin did not affect the risk of UTI over placebo (HR 1.08 [95% CI 0.90-1.29] p=0.42) overall or in any subgroup, however risk was higher in women (HR 1.23 [95% CI 0.98-1.54] vs HR 0.82 [0.60-1.11] for women and men respectively, p interaction=0.04).58/669 (8.7%) UTIs but no GMIs were reported as serious. Drug was continued in 56/63 (89%) of first GMIs, with similar frequency of subsequent GMI in those continuing on canagliflozin (13/43, 30.2%) or placebo (4/13, 30.8%). Drug was continued in 385/466 (82.6%) first UTIs, with similar frequency of subsequent UTIs in those continuing on cangliflozin (50/199 (25.1%) or placebo 49/186 (26.3%). All findings were similar when conducted using an intention-to-treat approach. Conclusion Canagliflozin increased the risk of genital mycotic infections but not urinary tract infections. The risk of genital mycotic infections from canagliflozin over placebo was higher in men and those with higher BMI. In those treated with canagliflozin, higher BMI and longer diabetes duration independently predicted infection. Most participants continued treatment following their first infection with similar recurrence rates in the canagliflozin and placebo groups.These findings will be useful in clinical care, and help identify those at greatest risk for genital infections with canagliflozin treatment.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,009 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,006 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».