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Enregistrement W4379376539 · doi:10.1101/2023.06.01.23290852

Large and small peripheral arterial disease in persons with type 2 diabetes

2023· preprint· en· W4379376539 sur OpenAlexaff
Araz Rawshani, Björn Eliasson, Jan Borén, Naveed Sattar, Deepak L. Bhatt, Linn El-Khalili, Joakim Nordanstig, Tarik Avdic, Joshua A. Beckman, Hertzel C. Gerstein, Darren K. McGuire, Elmir Ömerovic

Notice bibliographique

RevuemedRxiv · 2023
Typepreprint
Langueen
DomaineMedicine
ThématiquePeripheral Artery Disease Management
Établissements canadiensHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
Organismes subventionnairesnon disponible
Mots-clésMedicineType 2 diabetesCohortArterial diseaseDiabetes mellitusIncidence (geometry)Internal medicineRisk factorSurgeryPopulationCohort studyBlood pressureVascular diseaseEndocrinology

Résumé

récupéré en direct d'OpenAlex

Abstract Background We sought to investigate disease incidence trends and risk factor associations for large- and small-vessel peripheral arterial complications in persons with type 2 diabetes (T2D) compared with matched controls from the general population. Methods This study included persons with T2D entered into the Swedish National Diabetes Register 2001-2019 and controls matched on age, sex and county of residence. Incident diagnoses comprised extracranial large artery cerebrovascular disease (ELAD), aortic aneurysm (AA), aortic dissection (AD) and large- and small-vessel peripheral artery disease (LV-PAD; SV-PAD) of the lower extremities. Standardized incidence rates and Cox regression were used for analyses. Results The study comprises 655,250 persons with T2D; average age 64.2; 43.8% women. Among persons with T2D, the incidence rates per 100.000 person years for each peripheral arterial disease diagnosis changed between 2001 and 2019 as follows: ELAD 170.0 to 84.9; AA 40.6 to 69.2; AD 9.3 to 5.6; LV-PAD from 338.8 to 190.8; and SV-PAD from 309.8 to 226.8. Baseline hemoglobin A1c (HbA1c), systolic blood pressure (SBP), smoking status and lipid levels were independently associated with all outcomes in the T2D cohort. Within the cohort with T2D, the risk for ELAD and LV-PAD increased in a stepwise fashion for each risk factor not within target. Excess risk for peripheral arterial complications in the entire cohort for persons with T2D were as follows: ELAD HR 1.69 (95% CI, 1.65-1.73), AA 0.89 (95% CI, 0.87-0.92), AD 0.51 (95% CI, 0.46-0.57) and LV-PAD 2.59 (95% CI, 2.55-2.64). Conclusions The incidence of peripheral arterial complications has declined significantly among persons with T2D, with the exception of AA. HbA1c, smoking and blood pressure demonstrated greatest relative contribution for outcomes and lower levels of cardiometabolic risk factors are associated with reduced relative risk of outcomes. Clinical Perspective What is new? This nationwide registry data show that individuals with T2D and the general population displayed large reductions in rates of atherosclerotic peripheral arterial complications and SV-PAD, whereas aortic aneurysms increased in T2D and aortic dissections remained unchanged. Overall, excess risk for atherosclerotic peripheral arterial complications is elevated among individuals T2D, but diabetes was associated with lower risk of aortic complications. Patients with T2D versus controls with no cardiometabolic risk factor (i.e., HbA1c, SBP/DBP, LDL-C, smoking and eGFR) beyond target displayed a significant lower risk of peripheral arterial complications, with the exception of LV-PAD were T2D was still associated with increased risk. What are the clinical implications? To achieve the most substantial relative risk reduction for all peripheral arterial complications, it is crucial to focus on improving glycated hemoglobin levels, blood pressure control, and smoking cessation. SV-PAD has emerged as the most common complication affecting the peripheral arteries. Relative importance of these risk factors differs between cardiovascular disease and peripheral arterial complications, with glycated hemoglobin levels assuming a more significant role in the latter. Regarding risk factors, maintaining glycated hemoglobin and systolic blood pressure levels below the recommended therapeutic targets significantly reduces the risk of atherothrombotic peripheral arterial complications. Conversely, increasing levels of these factors were associated with a reduced risk of aortic complications.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
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 enseignants0,005
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,025
Tête enseignante GPT0,258
Écart entre enseignants0,232 · 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 tête enseignante, pas un consensus.

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
Publié2023
Routes d'admission1
Résumé présentoui

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