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ORIGINAL RESEARCH

Cholesterol and Hypertension Treatment Improve Coronary Risk Prediction but Not Time-Dependent Covariates or Competing Risks

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Pages 1145-1154 | Received 23 May 2022, Accepted 12 Aug 2022, Published online: 11 Oct 2022

Figures & data

Table 1 Baseline Demographic Characteristics and Cardiovascular Risk Factors of the Included Participants by Groups Depending on the Event That Occurred in the Follow-Up

Figure 1 Cumulative incidence of coronary events, stroke, other cardiovascular mortality, and cancer mortality during the follow-up. Incidence units are 1/100 inhabitants.

Abbreviation: CV, cardiovascular.
Figure 1 Cumulative incidence of coronary events, stroke, other cardiovascular mortality, and cancer mortality during the follow-up. Incidence units are 1/100 inhabitants.

Table 2 Variable Estimates in the Models with Best Discrimination

Figure 2 Discrimination of the models.

Abbreviations: AUC, area under the receiver operating characteristic curve; CI, confidence interval; Ref, reference; REGICOR, Girona Heart Registry.
Figure 2 Discrimination of the models.

Table 3 Reclassification by the Categorical Net Reclassification Index Between the Basic Model with the Variables from the Framingham-REGICOR Function and the Models with and without Treatments, Time-Dependent Covariates and Competing Risks