MétaCan
Menu
Retour à la cohorte
Enregistrement W3210797516 · doi:10.1097/xce.0000000000000255

The risk factors potentially influencing risk of serious illness/death in people with diabetes, following SARS-CoV-2 infection: What needs to be done from here

2021· article· en· W3210797516 sur OpenAlexaff
Adrian Heald, Mark Livingston, Gabriela Moreno, Martin Gibson

Notice bibliographique

RevueCardiovascular Endocrinology & Metabolism · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueCOVID-19 Clinical Research Studies
Établissements canadiensHealth Sciences Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineDiabetes mellitusPandemicDiseaseObesityIntensive care medicineOdds ratioPediatricsCoronavirus disease 2019 (COVID-19)Internal medicineInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

Since early 2020 the whole world has been challenged by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus coronavirus disease 2019 (COVID-19) and the associated global pandemic [1]. People with diabetes are particularly at high risk of becoming seriously unwell after contracting this virus [2,3]. As yet we do not fully understand the underlying factors which contribute to such risk and their respective contributions to outcomes. In this regard, Barron et al. [4] reported an odds ratio (OR) for in-hospital COVID-19-related death of 2.03 (1.97–2.09) in people with type 2 diabetes mellitus (T2DM). A body of work is emerging in relation to the reasons why people with diabetes are more likely to become seriously unwell and in some cases die following a COVID-19 infection. Two recent landmark articles [5,6] have brought into sharp focus the factors that mediate increased risk of serious consequences of a COVID-19 infection in relation to hospital admission and mortality for vaccinated individuals and for nonvaccinated individuals in England. For the postvaccination study [6] the risk algorithm explained 74.1% of the variation in time to COVID-19 related death. An early COVID-19 pandemic study from Mexico [7] concluded that early-onset T2DM conferred an increased risk of hospitalization and obesity conferred an increased risk for ICU admission and intubation. The predictive score for COVID-19 lethality included age ≥65 years, diabetes, early-onset diabetes, obesity, age <40 years, chronic kidney disease, hypertension, immunosuppression and significantly discriminated lethal from nonlethal COVID-19 cases. We previously showed that in one area of the UK, the month-by-month mortality rate for people with T2DM was up to 2.2 times higher than that in the same month averaged over the previous 5 years in the early stages of the COVID-19 pandemic, with age the strongest independent predictor of death [8]. Work is continuing to understand how much a previous diagnosis of diabetes type 1 diabetes mellitus (T1DM) or T2DM increases the risk of becoming seriously unwell following a COVID-19 infection vs. absence of diabetes as a diagnosis. Since these early studies, the advent of treatment of hospitalized patients with Dexamethasone has significantly reduced mortality rates across the world. In patients hospitalized with COVID-19, the use of dexamethasone resulted in lower 28-day mortality among those who were receiving either invasive mechanical ventilation or oxygen alone at randomization [9]. Potential pathogenetic links between the SARS-CoV-2 virus and diabetes include the influence of glucose homeostasis and potentially altered immune status on the progression of the viral infection once established [10]. COVID-19 infection aggravates inflammation and alters immune system responses, leading to difficulties in blood glucose control. COVID-19 infection also increases the risk of thromboembolism and is more likely to induce cardiopulmonary failure in patients with diabetes than in patients without diabetes [11]. All of these mechanisms are now believed to contribute to the poor prognosis of some patients with preexisting diabetes and a COVID-19 infection. In conclusion, as the COVID-19 pandemic moves into a new phase in Europe and some other parts of the world, much remains to be determined about why having diabetes increases the risk of serious consequences of a COVID-19 infection. The COVID-19 global pandemic poses considerable health hazards, for patients with diabetes. The estimation of risk will require the combination of population based studies using primary and secondary care data and studies that evaluate the immunologic, metabolic and haematologic response following a COVID-19 infection at both a specific tissue and a whole body level, while keeping in mind that basic strategies such as optimizing pharmacologic management for patients at elevated cardiometabolic risk, with targeted choice of glucose lowering, antihypertensive and lipid lowering medications are as relevant to current and future research as to everyday clinical practice. Acknowledgements There was no external funding for this study. The data that support the findings of this study are available from the corresponding author upon reasonable request. Conflicts of interest There are no conflicts of interest.

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)0,001
score de la tête « metaresearch » (Gemma)0,013
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-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 enseignants0,051
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,013
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
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 Opus0,021
Tête enseignante GPT0,305
Écart entre enseignants0,284 · 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

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueCardiovascular Endocrinology & MetabolismMême sujetCOVID-19 Clinical Research StudiesTravaux en français237 207