Key result
High visit-to-visit variability across multiple biological measurements linked to ~2.5-fold higher CVD risk.
Why the study?
Visit-to-visit variability in single biological measurements is associated with cognitive decline and cardiovascular disease, but the effect of variability across multiple measures is underexplored.
Does high visit-to-visit variability in multiple biological measurements increase the risk of cardiovascular disease and cognitive decline in patients with dysglycemia?
Cohort (n=12,085)
Yes
Does high visit-to-visit variability in multiple biological measurements increase the risk of cardiovascular disease and cognitive decline in patients with dysglycemia?
High visit-to-visit variability across multiple routine biological measurements is cumulatively associated with an increased risk of cognitive decline and cardiovascular events in patients with dysglycemia.
Answers are grounded in this paper and cite their sources.
High multi-measurement variability was associated with higher CVD risk; leaves open whether variability monitoring aids risk stratification in dysglycemia.
Background: Visit-to-visit variability in single biological measurements has been associated with cognitive decline and an elevated risk of cardiovascular diseases (CVD). However, the effect of visit-to-visit variability in multiple biological measures is underexplored. We investigated the effect of visit-to-visit variability in blood pressure (BP), heart rate (HR), weight, fasting plasma glucose, cholesterol, and triglycerides on cognitive performance and CVD. Methods: Data on BP, HR, weight, glucose, cholesterol, and triglycerides from study visits in the Outcome Reduction with Initial Glargine Intervention (ORIGIN) trial were used to estimate the association between visit-to-visit variability, cognitive performance (Mini Mental State Examination (MMSE) score) and CVD (non-fatal stroke, non-fatal myocardial infarction, or cardiovascular death). Visit-to-visit variation for each measurement was estimated by calculating each individuals visit-to-visit standard deviation for that measurement. Participants whose standard deviation was in the highest quarter were classified as having high variation. Participants were grouped into those having 0, 1, 2, 3, or ≥ 4 high variation measurements. Regression and survival models were used to estimate the association between biological measures with MMSE and CVD with adjustment for confounders and mean measurement value. Results: After adjustment for covariates, higher visit-to-visit variability in BP, HR, weight, and FPG were associated with poorer MMSE and a higher risk of CVD. Effect sizes did not vary greatly by measurement. The effects of high visit-to-visit variability were additive; compared to participants who had no measurements with high visit-to-visit variability, those who had high visit-to-visit variability in ≥4 measurements had poorer MMSE scores (-0.63 (95 % CI -0.96 to -0·31). Participants with ≥4 measurements with high visit-to-visit variability compared to participants with none had higher risk of CVD (hazard ratio 2.46 (95 % CI 1.63 to 3.70). Conclusion: Visit-to-visit variability in several measurements were associated with cumulatively poorer cognitive performance and a greater risk of CVD.
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Sherlock et al. (2024) conducted a cohort in Dysglycemia with cardiovascular risk factors (n=12,085). High visit-to-visit variability in >=4 biological measurements vs. 0 measurements with high visit-to-visit variability was evaluated on Incident cardiovascular disease (non-fatal stroke, non-fatal myocardial infarction, or cardiovascular death) (HR 2.46, 95% CI 1.63 to 3.70). High visit-to-visit variability in 4 or more biological measurements was associated with an increased risk of incident cardiovascular disease (HR 2.46) compared to participants with no high variability measurements.
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