Effects of dapagliflozin on hospitalisations in people with type 2 diabetes: post-hoc analyses of the DECLARE-TIMI 58 trial
Notice bibliographique
Résumé
BACKGROUND: In people with type 2 diabetes at high risk of cardiovascular or kidney disease, sodium-glucose co-transporter 2 (SGLT2) inhibitors consistently reduce the risk of hospitalisations for heart failure. Less is known about their effects on hospitalisation from any cause, especially in people with type 2 diabetes without atherosclerotic cardiovascular disease, which includes most of the global population of people with type 2 diabetes. We aimed to assess the effect of the SGLT2 inhibitor, dapagliflozin, on the risks of hospitalisations for any cause and for specific causes in people with type 2 diabetes with and without atherosclerotic cardiovascular disease. METHODS: The DECLARE-TIMI 58 trial was a double-blind, multicentre, randomised, placebo-controlled study. People with type 2 diabetes and either risk factors for or established atherosclerotic cardiovascular disease were randomly assigned (1:1) to receive oral dapagliflozin 10 mg or placebo once daily. In these post-hoc analyses, the effects of dapagliflozin on risks of first non-elective any-cause and cause-specific hospitalisation were assessed with Cox proportional hazards regression models overall and in the subset of participants without prevalent atherosclerotic cardiovascular disease. The risk of total (first plus subsequent) non-elective hospitalisations was assessed with Lin-Wei-Ying-Yang model. Investigator-reported System Organ Class terms were used to classify cause-specific hospitalisations. The trial is registered with ClinicalTrials.gov, NCT01730534. FINDINGS: Between April 25, 2013, and Sept 18, 2018, 17 160 people (6422 [37·4%] women, 10 738 [62·6%] men; mean age 63·9 years [SD 6·8]) were enrolled in the original trial, of whom 10186 (59·4%) had multiple risk factors for but did not have established atherosclerotic cardiovascular disease, and 6835 (39·8%) had both no evidence of atherosclerotic cardiovascular disease and low KDIGO risk. Over a median follow-up of 4·2 years (IQR 3·9-4·4), dapagliflozin was associated with a lower risk of first non-elective hospitalisation for any cause (2779 [32·4%] of 8582 people in the dapagliflozin group vs 3036 [35·4%] of 8578 people in the placebo group; hazard ratio [HR] 0·89 [95% CI 0·85-0·94]) and total (first plus subsequent) non-elective hospitalisations for any cause (risk ratio 0·92 [95% CI 0·86-0·97]). The association between dapagliflozin use and the risk of first non-elective hospitalisation for any cause was consistent in subgroups of participants with (HR 0·92 [95% CI 0·85-0·99] and without (0·87 [0·81-0·94]) atherosclerotic cardiovascular disease at baseline (p interaction=0·31). Compared with the placebo group, the dapagliflozin group had lower risk of first hospitalisations due to cardiac disorders (HR 0·91 [95% CI 0·84-1·00]), metabolism and nutrition disorders (0·73 [0·60-0·89]), renal and urinary disorders (0·61 [0·49-0·77]), and due to any other cause excluding these three causes (0·90 [0·85-0·96]). Treatment with dapagliflozin was also associated with a lower risk of hospitalisations due to musculoskeletal and connective tissue disorders (HR 0·81 [0·67-0·99]) and infections and infastations (HR 0·86 [0·78-0·96]). INTERPRETATION: Dapagliflozin reduced the risk of first and total non-elective hospitalisations for any cause in people with type 2 diabetes, regardless of the presence of atherosclerotic cardiovascular disease, including hospitalisations not directly attributed to cardiac, kidney, or metabolic causes. These findings might have implications on health-related quality of life for people with type 2 diabetes and on health-care costs attributable this condition. FUNDING: AstraZeneca.
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 | 0,005 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,009 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».