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BMI variability and cardiovascular outcomes within clinical trial and real-world environments in type 2 diabetes: an IMI2 SOPHIA study.
Massey, Robert J; Chen, Yu; Panova-Noeva, Marina; Mattheus, Michaela; Siddiqui, Moneeza K; Schloot, Nanette C; Ceriello, Antonio; Pearson, Ewan R; Dawed, Adem Y.
Afiliação
  • Massey RJ; Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
  • Chen Y; Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA.
  • Panova-Noeva M; Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany.
  • Mattheus M; Center for Thrombosis and Haemostasis, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
  • Siddiqui MK; Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany.
  • Schloot NC; Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
  • Ceriello A; Centre for Primary Care, Wolfson Institute of Population Health, Queen Mary University of London, London, UK.
  • Pearson ER; Lilly Deutschland GmbH, Bad Homburg, Germany.
  • Dawed AY; IRCCS MultiMedica, Via Milanese 300, 20099, Sesto San Giovanni, MI, Italy.
Cardiovasc Diabetol ; 23(1): 256, 2024 Jul 16.
Article em En | MEDLINE | ID: mdl-39014446
ABSTRACT

BACKGROUND:

BMI variability has been associated with increased cardiovascular disease risk in individuals with type 2 diabetes, however comparison between clinical studies and real-world observational evidence has been lacking. Furthermore, it is not known whether BMI variability has an effect independent of HbA1c variability.

METHODS:

We investigated the association between BMI variability and 3P-MACE risk in the Harmony Outcomes trial (n = 9198), and further analysed placebo arms of REWIND (n = 4440) and EMPA-REG OUTCOME (n = 2333) trials, followed by real-world data from the Tayside Bioresource (n = 6980) using Cox regression modelling. BMI variability was determined using average successive variability (ASV), with first major adverse cardiovascular event of non-fatal stroke, non-fatal myocardial infarction, and cardiovascular death (3P-MACE) as the primary outcome.

RESULTS:

After adjusting for cardiovascular risk factors, a + 1 SD increase in BMI variability was associated with increased 3P-MACE risk in Harmony Outcomes (HR 1.12, 95% CI 1.08-1.17, P < 0.001). The most variable quartile of participants experienced an 87% higher risk of 3P-MACE (P < 0.001) relative to the least variable. Similar associations were found in REWIND and Tayside Bioresource. Further analyses in the EMPA-REG OUTCOME trial did not replicate this association. BMI variability's impact on 3P-MACE risk was independent of HbA1c variability.

CONCLUSIONS:

In individuals with type 2 diabetes, increased BMI variability was found to be an independent risk factor for 3P-MACE across cardiovascular outcome trials and real-world datasets. Future research should attempt to establish a causal relationship between BMI variability and cardiovascular outcomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hemoglobinas Glicadas / Biomarcadores / Doenças Cardiovasculares / Índice de Massa Corporal / Diabetes Mellitus Tipo 2 / Fatores de Risco de Doenças Cardíacas Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hemoglobinas Glicadas / Biomarcadores / Doenças Cardiovasculares / Índice de Massa Corporal / Diabetes Mellitus Tipo 2 / Fatores de Risco de Doenças Cardíacas Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article