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Do the 2017 blood pressure cut-offs improve 10-year cardiovascular disease mortality risk prediction?
1Queensland Centre for Gynaecological Cancer Research, UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia; Cancer Research Centre, Cancer Council Queensland, Brisbane, Australia.
Insights
New blood pressure (BP) categories improve cardiovascular disease (CVD) risk reclassification and calibration, but not discrimination. These findings suggest potential for enhanced CVD primary prevention strategies using updated BP guidelines.
Area of Science:
- Cardiology
- Public Health
- Epidemiology
Background:
- High blood pressure (BP) is a major risk factor for cardiovascular disease (CVD) mortality.
- The 2017 ACC/AHA guidelines updated BP categories, but their effect on CVD mortality prediction requires investigation.
Purpose of the Study:
- To assess if new BP cut-offs improve 10-year CVD mortality prediction in US adults.
- To evaluate the impact of updated BP classifications on risk prediction models.
Main Methods:
- Population-based cohort study using NHANES and National Death Index data (1988-2015).
- Developed and compared original and modified (new BP cut-offs) Systematic COronary Risk Evaluation models.
- Assessed model performance using discrimination (Harrell's C), calibration plots, and net reclassification index (NRI).
Main Results:
- Modified models showed improved calibration and reclassification compared to original models.
- Discrimination of 10-year CVD mortality was not significantly improved by the modified models.
- Modified models increased sensitivity and negative predictive value but decreased specificity and positive predictive value.
Conclusions:
- New BP cut-offs enhance calibration and reclassification for CVD mortality risk.
- While discrimination did not improve, updated BP categories may help identify more high-risk individuals.
- Further research is needed on the clinical utility of new BP cut-offs in primary CVD prevention.
Background And Aims:
High blood pressure (BP) is a significant predictor for cardiovascular disease (CVD) mortality. The 2017 American College of Cardiology/American Heart Association guideline reclassified the BP categories; however, its impact on CVD mortality prediction is still unclear. Our study aimed to examine whether the application of new BP cut-offs could improve 10-year CVD mortality prediction among US adults.
Methods And Results:
This population-based cohort study linked data from the US National Health and Nutrition Examination Survey (1988-1994 and 1999-2004) and National Death Index (up to December 31, 2015). We constructed original and modified, using new BP cut-offs, Systematic COronary Risk Evaluation models to predict 10-year CVD mortality. We measured model discrimination and calibration using the Harrell's C statistic and calibration plots, respectively. We calculated the net reclassification index to evaluate the reclassification. In addition, we compared the sensitivity, specificity, predictive values (PVs), and likelihood ratios (LRs). Among 28,964 adults (aged ≥ 20 years), 1493 have died of CVD within ten years of follow-up. The modified models had improvements in calibration and reclassification instead of discrimination compared to the original models. The modified models have higher sensitivity and negative PV; however, they have lower specificity, positive PV, positive LR, and negative LR.
Conclusions:
The modified models failed to improve the discrimination of 10-year CVD mortality. However, they could increase the calibration and reclassification and capture more participants with high CVD risk. More studies are needed on the potential use of the new BP cut-offs in the CVD primary prevention.
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