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Enregistrement W4399686444 · doi:10.2337/db24-1895-lb

1895-LB: Fasting C-Peptide and Type 1 Diabetes Polygenic Score Predict Diabetic Ketoacidosis in People with Type 2 Diabetes in DECLARE-TIMI 58

2024· article· en· W4399686444 sur OpenAlexaboutno aff
Yu Mi Kang, Giorgio Melloni, Avivit Cahn, Itamar Raz, Filipe A. Moura, Deepak L. Bhatt, SILVIO E. INZUCCHI, LAWRENCE A. LEITER, Darren K. McGuire, John Wilding, I Gause-Nilsson, Jan Oscarsson, Nicholas Marston, Christian T. Ruff, Marc S. Sabatine, Stephen D. Wiviott

Notice bibliographique

RevueDiabetes · 2024
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueDiabetes and associated disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineDapagliflozinDiabetic ketoacidosisType 1 diabetesDiabetes mellitusType 2 diabetesTIMIPlaceboEndocrinologyGastroenterologyMyocardial infarction

Résumé

récupéré en direct d'OpenAlex

Introduction: We aimed to study the association of T1D polygenic score (PS) & C-peptide (C-pep) with the risk of DKA in DECLARE-TIMI 58. Methods: DECLARE-TIMI 58 was a CV outcomes trial of dapagliflozin (DAPA) vs. placebo (PBO) in pts clinically diagnosed with T2D. T1D PS consists of scores based on HLA and non-HLA allele composition. High T1D PS was defined as having both HLA and non-HLA PS within the top tertile. Fasting C-pep <0.4 nmol/L was considered low. Pts were divided into 4 groups based on the presence/absence of high T1D PS and low C-pep. Results: Among 10,956 pts with genetic data, 27 (2.5%; 21 in DAPA and 6 in PBO) had DKA over 4.2 yrs. Of all pts, 1,272 (11.6%) had high T1D PS and their risk of DKA was 4-fold higher vs the rest (HR 3.90, 95% CI 1.75-8.70). 9.3% of all pts had low C-pep, and 1.6% had both high T1D PS and low C-pep. The 4-yr KM rate for DKA in pts with no risk factors was 0.06%, followed by 0.21% in pts with high T1D PS only, 1.38% in pts with low C-pep only, and 4.28% in pts with both (Fig A). Absolute differences in rates between DAPA and PBO tended to be greater in the higher-risk groups (P-trend <0.001: Fig B). Conclusion: Although rare overall, DKA was more common in DAPA arm, and it was largely confined to high-risk pts defined by T1D PS and C-peptide. These tools can help identify pts at increased risk of DKA associated with SGTL2i. The clinical implications of these findings require further investigation. Disclosure Y. Kang: None. A. Cahn: Advisory Panel; Novo Nordisk. Speaker's Bureau; Novo Nordisk, AstraZeneca, Eli Lilly and Company, Bayer Inc. Advisory Panel; Eli Lilly and Company. I. Raz: Consultant; AstraZeneca, Eli Lilly and Company, Novo Nordisk, Johnson & Johnson Medical Devices Companies, Bayer Inc. F. Moura: Consultant; Janssen Pharmaceuticals, Inc. D.L. Bhatt: Advisory Panel; Angiowave, Bayer, Boehringer Ingelheim, CellProthera, Cereno Scientific, Elsevier Practice Update Cardiology, High Enroll, Janssen, Level Ex, McKinsey, Medscape Cardiology, Merck, MyoKardia, NirvaMed,. Board Member; American Heart Association New York City, Angiowave (stock options), Bristol Myers Squibb (stock), DRS.LINQ (stock options), High Enroll (stock);. Consultant; Broadview Ventures, GlaxoSmithKline, Hims, SFJ, Youngene. Other Relationship; Acesion Pharma, Assistance Publique-Hôpitaux de Paris, Baim Institute, Boston Scientific, Cleveland Clinic, Contego Medical, Duke Clinical Research Institute, Mayo Clinic, Mount Sinai, Novartis, Popul, ACC, Arnold and Porter Law Firm, Baim Institute, Belvoir Publications, CSL Behring, Cowen and Company, Duke Clinical Research Institute, HMP Global, Journal of the ACC, K2P, Level Ex, Medtelligence/Re, Population Health Research Institute, Wiley, Clinical Cardiology, Lexicon Pharmaceuticals, Inc. Research Support; Abbott, Acesion Pharma, Afimmune, Aker Biomarine, Alnylam, Amarin, Amgen, AstraZeneca, Bayer, Beren, Boehringer Ingelheim, Boston Scientific, Bristol-Myers Squibb, Cardax, CellProthera, Cereno Scienti, Ethicon, Faraday Pharmaceuticals, Ferring Pharmaceuticals, Forest Laboratories, Fractyl, Garmin, HLS Therapeutics, Idorsia, Ironwood, Ischemix, Janssen, Javelin, Lexicon, Lilly, Medtronic, Merck, Mode, Otsuka, Owkin, Pfizer, PhaseBio, PLx Pharma, Recardio, Regeneron, Reid Hoffman Foundation, Roche, Sanofi, Stasys, Synaptic, The Medicines Company, Youngene, 89Bio. Other Relationship; Elsevier (Editor, Braunwald’s Heart Disease), Abbott, Biotronik, Boston Scientific, CSI, Endotronix, St. Jude Medical (now Abbott), Philips, SpectraWAVE, Svelte, Vascular Solutions, American College of Cardiology, FlowCo. Stock/Shareholder; Angiowave (stock options), Bristol Myers Squibb (stock), DRS.LINQ (stock options), High Enroll (stock). S.E. Inzucchi: Consultant; AstraZeneca, Boehringer-Ingelheim, Merck & Co., Inc., Pfizer Inc., Novo Nordisk, Bayer Inc. L.A. Leiter: Advisory Panel; Abbott. Other Relationship; Amarin Corporation, Amgen Inc., Applied Therapeutics Inc. Advisory Panel; AstraZeneca. Other Relationship; Bayer Inc. Advisory Panel; Boehringer-Ingelheim. Other Relationship; CRISPR Therapeutics Other, Eli Lilly and Company. Speaker's Bureau; EOCI Pharmacomm. Research Support; ESPERION Therapeutics, Inc. Other Relationship; HLS Therapeutics Inc. Research Support; Kowa Company, Ltd., Lexicon Pharmaceuticals, Inc. Advisory Panel; Merck & Co., Inc. Speaker's Bureau; Novartis AG. Advisory Panel; Novo Nordisk. Other Relationship; Novo Nordisk Canada Inc. Speaker's Bureau; Pfizer Inc. Advisory Panel; Sanofi. Speaker's Bureau; Toronto Knowledge Translation Working Group. Other Relationship; Up-To-Date. D.K. McGuire: Other Relationship; Merck & Co., Inc., Eli Lilly and Company, Boehringer-Ingelheim, Novo Nordisk, Pfizer Inc., AstraZeneca. Consultant; Bayer Inc., Lexicon Pharmaceuticals, Inc., Altimmune Inc., Intercept Pharmaceuticals, Inc., Applied Therapeutics. J. Wilding: Speaker's Bureau; Boehringer-Ingelheim. Consultant; Eli Lilly and Company, Napp Pharmaceuticals Limited, Novo Nordisk. Advisory Panel; AstraZeneca. Consultant; Alnylam Pharmaceuticals, Inc., Rhythm Pharmaceuticals, Inc. Speaker's Bureau; Sanofi. Consultant; A. Menarini Diagnostics. I.A. Gause-Nilsson: Employee; AstraZeneca. J. Oscarsson: Employee; AstraZeneca. Stock/Shareholder; AstraZeneca. N. Marston: Research Support; Ionis Pharmaceuticals, Amgen Inc., Pfizer Inc. C.T. Ruff: Research Support; Anthos, AstraZeneca, Daiichi Sankyo, Janssen Pharmaceuticals, Inc., Novartis AG. Other Relationship; Altimmune Inc. Advisory Panel; Bayer Inc., Merck & Co., Inc., Anthos, Janssen Pharmaceuticals, Inc. M.S. Sabatine: Research Support; Abbott, Amgen Inc. Consultant; Amgen Inc. Research Support; Anthos. Consultant; Anthos. Research Support; AstraZeneca. Consultant; AstraZeneca, Beren Therapeutics. Research Support; Boehringer-Ingelheim. Consultant; Boehringer-Ingelheim. Research Support; Daiichi Sankyo. Consultant; Dr. Reddy's Laboratories. Research Support; Ionis Pharmaceuticals, Merck & Co., Inc. Consultant; Merck & Co., Inc., Moderna, Inc. Research Support; Novartis AG. Consultant; Novo Nordisk. Research Support; Pfizer Inc. Consultant; Precision Biosciences. Research Support; Saghmos Therapeutics. Consultant; Silence Therapeutics. Research Support; Verve Therapeutics. S.D. Wiviott: Consultant; Novo Nordisk, Varian, Icon. Research Support; Amgen Inc., Merck & Co., Inc., AstraZeneca, Pfizer Inc. Other Relationship; Vertex Pharmaceuticals Incorporated, Flagship Pioneering. Funding National Institutes of Health (5T32DK007529)

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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.

Tête enseignante Opus0,005
Tête enseignante GPT0,204
Écart entre enseignants0,198 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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