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Risk reclassification ability of uric acid for cardiovascular outcomes in essential hypertension
Maria Perticone1, Giovanni Tripepi2, Raffaele Maio3
1Department of Experimental and Clinical Medicine, University Magna Græcia of Catanzaro, Italy.
Insights
High uric acid (UA) levels independently predict cardiovascular events in hypertensive patients with normal kidney function. Including UA in risk models significantly improves cardiovascular risk stratification, aiding in better patient management.
Area of Science:
- Cardiology
- Nephrology
- Clinical Risk Stratification
Background:
- Hyperuricemia is a known risk factor for cardiovascular events across diverse patient populations.
- This study investigated the prognostic value of uric acid (UA) in stratifying cardiovascular risk among hypertensive individuals with normal renal function.
Purpose of the Study:
- To determine if incorporating uric acid (UA) into Cox regression models enhances cardiovascular risk stratification in patients with hypertension and preserved renal function.
- To assess the independent predictive value of UA for cardiovascular and coronary outcomes.
Main Methods:
- Utilized multiple Cox regression models to analyze the association between UA and cardiovascular outcomes in 1522 hypertensive patients.
- Employed Harrell's C-index, Net Reclassification Index (NRI), and Integrated Discrimination Improvement (IDI) to evaluate the incremental prognostic value of UA.
- Outcomes included fatal/nonfatal cardiovascular events and coronary outcomes/death from other cardiovascular causes.
Main Results:
- Uric acid (UA) showed a strong association with cardiovascular outcomes in unadjusted analyses (P<0.001).
- Inclusion of UA in Cox models with standard risk factors and e-GFR did not alter its independent predictive power (HR=1.44-1.48, P<0.001).
- UA significantly improved prognostic accuracy, increasing Harrell's C-index (+5%), NRI (+24.9%), and IDI (+7.6%) for cardiovascular events (P<0.001).
Conclusions:
- Uric acid (UA) is an independent predictor of cardiovascular outcomes in hypertensive patients with normal renal function.
- Adding UA to risk models, including Framingham risk factors and e-GFR, significantly enhances prognostic accuracy and enables risk reclassification.
- These findings support the utility of UA measurement for improved cardiovascular risk assessment in this patient group.
Background:
Hyperuricemia is associated with incident cardiovascular events in different settings of patients. We tested whether the inclusion of uric acid (UA) in Cox models including standard risk factors allows to better stratify cardiovascular risk in a cohort of 1522 naïve hypertensives with preserved renal function.
Methods:
We used multiple Cox regression models to assess the independent effect of UA on cardiovascular outcomes, and Harrell'C index, Net Reclassification Index (NRI), and Integrated Discrimination Improvement (IDI) as indicators of the additional prognostic value of UA beyond and above that provided by standard risk factors and estimated glomerular filtration rate (e-GFR). Study outcomes were fatal and nonfatal cardiovascular events and fatal and nonfatal coronary outcomes/death due to other cardiovascular events.
Results:
UA resulted strongly related to both outcomes in unadjusted Cox regression analyses (P<0.001). Inclusion of UA into multiple Cox regression models including Framingham risk factors and e-GFR did not affect the association between UA and outcomes (fatal and nonfatal cardiovascular events, HR=1.44, 95% CI=1.36-1.55, P<0.001; fatal and nonfatal coronary outcomes/death due to other cardiovascular events, HR=1.48, 95% CI=1.36-1.61, P<0.001). Inclusion of UA into basic Cox models provided an increase in all indexes of prognostic accuracy for both outcomes: Harrell'C index: +5%; NRI: +24.9%; IDI: +7.6%, all P<0.001; and Harrell'C index: +5%; NRI: +25%; IDI: +6.3%, all P<0.001, respectively.
Conclusions:
UA is an independent predictor of cardiovascular outcomes and increases prognostic accuracy of Cox models, including Framingham risk factors and e-GFR, in hypertensives with normal renal function, allowing a risk reclassification.
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