Key result
Time-varying analyses of atherosclerotic risk factors yielded greater risk estimates for myocardial infarction for variables that changed considerably over time, such as smoking (HR 2.08), compared to time-fixed analyses.
Why the study?
Does time-varying analysis of atherosclerotic risk factors alter the risk estimates for myocardial infarction and venous thromboembolism compared to time-fixed baseline analysis?
Cohort (n=5,970)
No
Does time-varying analysis of atherosclerotic risk factors alter the risk estimates for myocardial infarction and venous thromboembolism compared to time-fixed baseline analysis?
Risk estimates for myocardial infarction and venous thromboembolism based on single baseline measurements correspond well with repeated measures, whereas correcting for regression dilution tends to overestimate risks.
BACKGROUND: Single measurements of modifiable risk factors may underestimate associations with outcomes in cohorts. We aimed to compare risk estimates of myocardial infarction (MI) and venous thromboembolism (VTE) by atherosclerotic risk factors during long follow-up using time-fixed analyses without and with correction for regression dilution and time-varying analyses. METHODS: The study included 5970 subjects enrolled in the fourth survey of the Tromsø Study (1994/95). Blood pressure, lipid levels, body mass index (BMI), diabetes and smoking status were measured at baseline, and subjects still alive at the fifth (2001/02, n = 5179) and sixth (2007/08, n = 4391) survey were re-measured. Incident events of MI (n = 714) and VTE (n = 214) were recorded until December 2010. Time-fixed and time-varying Cox regression models were used to estimate hazard ratios (HR) for MI and VTE adjusted for age and sex. RESULTS: Variations in BMI, blood pressure and lipid levels were small, and did not alter the risk estimates when time-varying analyses were compared to time-fixed analyses. For MI, variables that changed considerably over time yielded the greatest changes in risk estimates (HR for smoking changed from 1.80 (95% CI 1.55-2.10) to 2.08 (95% CI 1.78-2.42)). For VTE, only BMI was associated with increased risk in both time-fixed and time-varying analysis, but the risk estimates weakened in the time-varying analysis. Correction of time-fixed HRs with Rosner´s method tended to overestimate risk estimates compared to time-varying analysis. COMMENT: For MI and VTE, risk estimates based on baseline and repeated measures corresponded well, whereas correction for regression dilution tended to overestimate risks.
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Småbrekke et al. (2016) conducted a cohort in Myocardial infarction and venous thromboembolism (n=5,970). Time-varying atherosclerotic risk factors (e.g., smoking) vs. Time-fixed baseline measurements was evaluated on Myocardial infarction (associated with smoking in time-varying analysis) (HR 2.08, 95% CI 1.78-2.42). Time-varying analyses of atherosclerotic risk factors yielded greater risk estimates for myocardial infarction for variables that changed considerably over time, such as smoking (HR 2.08), compared to time-fixed analyses.
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