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Enregistrement W4315436375 · doi:10.1097/xce.0000000000000276

Type 2 diabetes and mortality in females versus males in England: the Salford diabetes cohort

2023· article· en· W4315436375 sur OpenAlexaff
Adrian Heald, Mike Stedman, Ian Laing, Martin Gibson, Martin Whyte

Notice bibliographique

RevueCardiovascular Endocrinology & Metabolism · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Disease Management Strategies
Établissements canadiensHealth Sciences Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineLife expectancyDemographyDiabetes mellitusMortality rateNational Health and Nutrition Examination SurveyType 2 diabetesCohortPopulationCohort studyEthnic groupDiseaseGerontologyNational Death IndexEnvironmental healthInternal medicineConfidence intervalHazard ratio

Résumé

récupéré en direct d'OpenAlex

Diabetes continues to be linked to a mortality rate that is greater than the background population. A previous study based on data from the National Health and Nutrition Examination Survey found that from 1971 to 2000, men with diabetes experienced a 43% relative reduction in mortality [1]. On the other hand, women with diabetes did not experience a similar decrease in mortality over this period, but instead experienced a doubling of the difference in mortality rate for women with diabetes compared with women without diabetes. The disparity in mortality rates by sex was driven by a wider gap in cardiovascular disease among women. All-cause standardised mortality rate (SMR) is an effective measure for capturing the overall impact of long-term conditions on populations. Studies have shown that, overall, the SMR for people with diabetes in England is 1.5–1.7 [2,3] with significant differences in mortality rate by ethnic group [4]. There has been little work examining the factors that could be having an impact on this, nor on what may determine sex differences in outcome. Primary care data provides an invaluable resource to address these questions. Patient data for the Salford region of England were extracted for patients with a diagnosis of type 2 diabetes (T2DM) in 2010 for the years up to 2020 including any deaths recorded [5]. The data extract was approved by the local research governance panel (application SIR022). Annual expected deaths were calculated from the annual Office of National Statistics mortality rate and life expectancy, by age and sex, relative to lower layer super output areas (LSOAs) [6], from which the Indices of Multiple Deprivation (2019) [7] were obtained. Linear regression was used to establish the relation between Index of Multiple Deprivation (IMD) and local SMR over the study period. This formula was applied to adjust the expected national mortality rate by age and sex for each patient for their local LSOA IMD. Comparing the sum of the expected patient mortalities with the actual deaths gave an SMR with deprivation (SMRd) for any selected cohort. We proceeded to examine the effect of sex differences on mortality rate over the 10 years period. The study included 9558 people with 88 102 patient years. There were 2909 recorded deaths against 1851 expected, with SMR male (M) at 1.46 and for females (F) higher at 1.72 (+18%). SMR for diabetes varied by age group, being higher in younger individuals with diabetes relative to those without diabetes. In those with diabetes, the SMR was relatively higher in younger women than younger men. Specifically, for the 33% of deaths of T2DM patients at age less than 75 years, the SMR was 1.77 (M: 1.63 and F: 2.04). For the 37% of deaths at ages 75–84, the SMR was 1.4 (M: 1.27 and F: 1.58); and for the 30% of deaths at age 85 or more, the SMR was 1.10 (M: 1.05 and F: 1.15). Thus, the sex difference in SMR diminished with advancing age. The percentage prescribed use of each drug as at least one of their medications was based on patient years use – either on their own or in combination: 85% had metformin with SMRd = 1.4 and 31% had sulfonylureas SMRd = 1.61. A total of 17% had a dipeptidyl peptidase-4–inhibitor SMRd = 1.57, whereas the 5% treated with sodium–glucose cotransporter 2 (SGLT2)–inhibitors had a relatively lower SMRd of 1.23. Drug use was similar between men and women except for SGLT2 inhibitors, where prescribing was lower in women (46%) versus men (54%). Patients on insulin plus oral treatment had much higher SMRd than oral alone, SMRd = 1.95. In multiple logistic analysis the factors most strongly associated with death were the presence of diabetes foot complications (including foot ulceration) [odds ratio (OR), 6.3; 5.6–7.1], age at diagnosis of more than 65 years (OR, 2.6; 2.3–2.9), elevated urine albumin/creatinine ratio of more than 3 mg/mmol (OR, 1.7; 1.5–2.4), and estimated glomerular filtration rate less than 60 ml/min/1.73 m2 (OR, 2.3; 2.1–2.6). HbA1c, dyslipidemia, and hypertension were not found to be significantly predictive. We have provided evidence that the relative mortality rate in women with T2DM versus women without T2DM is greater than in men with T2DM versus men without T2DM. This likely relates to a number of underlying determining factors. A systematic review of 35 prospective studies [8] found that in those with T2DM, all-cause and coronary heart disease mortality was greater in women by 17 and 97%, respectively. This effect has also been seen in type 1 diabetes, whereby mortality was 37% higher in women than in men [9]. In a recent meta-analysis, diabetes was associated with increased all-cause mortality; the relative risks were 1.59 in men and 2.00 in women [10], similar to our findings here. Glycosylated haemoglobin (HbA1c), dyslipidemia, and hypertension were not found to be significantly predictive as these patients have been under active health management for a number of years and medication keeps these conditions for most patients within clinically significant control limits Glucose-lowering therapies differ in their effects on cardiovascular mortality [11] and equality of access to these medications is essential to ensuring mitigation of sex differences in mortality. Further clarification of the factors associated with the sex difference in mortality is needed. Multifactorial interventions at the patient, provider, healthcare system, and community level are required to reduce the mortality gap between men and women with diabetes. Awareness of this can be promoted at every interaction online, or face-to-face, that occurs between a woman with diabetes and their professional care team. Acknowledgements 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)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,046
Score d'incertitude au seuil0,871

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
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 Opus0,046
Tête enseignante GPT0,303
Écart entre enseignants0,257 · 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.

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

Citations5
Publié2023
Routes d'admission1
Résumé présentoui

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