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Cardiovascular Diabetology
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BMI Variability and Cardiovascular Outcomes Within Clinical Trial and Real-World Environments in Type 2 Diabetes: An IMI2 SOPHIA study

Authors: Robert J Massey; Yu Chen; Marina Panova-Noeva; Michaela Mattheus; Moneeza K Siddiqui; Nanette C Schloot; Antonio Ceriello; +2 Authors

BMI Variability and Cardiovascular Outcomes Within Clinical Trial and Real-World Environments in Type 2 Diabetes: An IMI2 SOPHIA study

Abstract

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.

Keywords

Male, Blood Glucose, Time Factors, 610, /dk/atira/pure/subjectarea/asjc/2700/2705, name=Internal Medicine, Risk Assessment, Body Mass Index, BMI variability, Risk Factors, /dk/atira/pure/subjectarea/asjc/2700/2724, Diseases of the circulatory (Cardiovascular) system, Humans, Diabetes management ; Sodium-Glucose Transporter 2 Inhibitors/therapeutic use [MeSH] ; Type 2 diabetes ; Aged [MeSH] ; Risk Assessment [MeSH] ; Cardiovascular disease ; Cardiovascular Diseases/diagnosis [MeSH] ; Risk Factors [MeSH] ; Diabetes Mellitus, Type 2/mortality [MeSH] ; Randomized Controlled Trials as Topic [MeSH] ; 3P-MACE risk ; HbA1c variability ; Heart Disease Risk Factors [MeSH] ; Male [MeSH] ; Health outcomes ; Cardiovascular Diseases/mortality [MeSH] ; Sodium-Glucose Transporter 2 Inhibitors/adverse effects [MeSH] ; Diabetes Mellitus, Type 2/diagnosis [MeSH] ; BMI variability ; Female [MeSH] ; Diabetes Mellitus, Type 2/complications [MeSH] ; Biomarkers/blood [MeSH] ; Humans [MeSH] ; Treatment Outcome [MeSH] ; Cardiovascular Diseases/epidemiology [MeSH] ; Middle Aged [MeSH] ; Diabetes Mellitus, Type 2/blood [MeSH] ; Time Factors [MeSH] ; Body Mass Index [MeSH] ; Glycated Hemoglobin/metabolism [MeSH] ; Research ; Blood Glucose/metabolism [MeSH] ; Blood Glucose/drug effects [MeSH], Sodium-Glucose Transporter 2 Inhibitors, Aged, Randomized Controlled Trials as Topic, Glycated Hemoglobin, 3P-MACE risk, HbA1c variability, Research, Type 2 diabetes, Health outcomes, Middle Aged, Cardiovascular disease, Diabetes and Metabolism, Diabetes management, Treatment Outcome, Diabetes Mellitus, Type 2, Cardiovascular Diseases, Heart Disease Risk Factors, /dk/atira/pure/subjectarea/asjc/2700/2712, RC666-701, Female, name=Endocrinology, Biomarkers, name=Cardiology and Cardiovascular Medicine

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
gold