Serum Apolipoprotein-A2 Levels Are a Strong Predictor of Future Cardiovascular Events in Patients Undergoing Percutaneous Coronary Intervention.

BACKGROUND: Because apolipoprotein-A2 (ApoA2), a key component of high-density lipoprotein cholesterol (HDL-C), lacks clear clinical significance, we investigated its impact on cardiovascular events in patients undergoing percutaneous coronary intervention (PCI).Methods and Results: We examined 638 patients who underwent PCI with a new-generation drug-eluting stent for acute or chronic coronary syndrome and had their apolipoprotein levels measured between 2016 and 2021. The patients were divided into 2 groups based on the median serum ApoA2 values, and the incidence of major adverse cardiovascular events (MACE) was assessed. Of the 638 patients, 563 (88%) received statin treatment, with a median serum LDL-C level of 93 mg/dL. Furthermore, 137 patients (21.5%) experienced MACE, and Kaplan-Meier analysis revealed that the higher ApoA2 group had a significantly lower incidence of MACE than the lower ApoA2 group (30.9% vs. 41.6%). However, the other apolipoproteins, including ApoA1, ApoB, ApoC2, ApoC3, and ApoE, showed no significant differences in MACE. Multivariable Cox hazard analysis indicated that ApoA2 was an independent predictor of MACEs (hazard ratio, 0.666; 95% confidence interval, 0.465-0.954). Furthermore, ApoA2 levels exhibited the strongest inverse association with high-sensitivity C-reactive protein levels (rs=-0.479). CONCLUSIONS: Among all the apolipoproteins, the serum ApoA2 level may be the strongest predictor of future cardiovascular events and prognosis in patients undergoing PCI.

Improved cardiovascular risk prediction using targeted plasma proteomics in primary prevention.

AIMS: In the era of personalized medicine, it is of utmost importance to be able to identify subjects at the highest cardiovascular (CV) risk. To date, single biomarkers have failed to markedly improve the estimation of CV risk. Using novel technology, simultaneous assessment of large numbers of biomarkers may hold promise to improve prediction. In the present study, we compared a protein-based risk model with a model using traditional risk factors in predicting CV events in the primary prevention setting of the European Prospective Investigation (EPIC)-Norfolk study, followed by validation in the Progressione della Lesione Intimale Carotidea (PLIC) cohort. METHODS AND RESULTS: Using the proximity extension assay, 368 proteins were measured in a nested case-control sample of 822 individuals from the EPIC-Norfolk prospective cohort study and 702 individuals from the PLIC cohort. Using tree-based ensemble and boosting methods, we constructed a protein-based prediction model, an optimized clinical risk model, and a model combining both. In the derivation cohort (EPIC-Norfolk), we defined a panel of 50 proteins, which outperformed the clinical risk model in the prediction of myocardial infarction [area under the curve (AUC) 0.754 vs. 0.730; P < 0.001] during a median follow-up of 20 years. The clinically more relevant prediction of events occurring within 3 years showed an AUC of 0.732 using the clinical risk model and an AUC of 0.803 for the protein model (P < 0.001). The predictive value of the protein panel was confirmed to be superior to the clinical risk model in the validation cohort (AUC 0.705 vs. 0.609; P < 0.001). CONCLUSION: In a primary prevention setting, a proteome-based model outperforms a model comprising clinical risk factors in predicting the risk of CV events. Validation in a large prospective primary prevention cohort is required to address the value for future clinical implementation in CV prevention.

Cardiovascular event risk assessment in psoriasis patients treated with tumor necrosis factor-α inhibitors versus methotrexate.

BACKGROUND: Psoriasis is associated with increased risk for cardiovascular disease. OBJECTIVE: To compare major cardiovascular event risk in psoriasis patients receiving methotrexate or tumor necrosis factor-α inhibitor (TNFi) and to assess TNFi treatment duration impact on major cardiovascular event risk. METHODS: Adult psoriasis patients with ≥2 TNFi or methotrexate prescriptions in the Truven MarketScan Databases (Q1 2000-Q3 2011) were classified as TNFi or methotrexate users. The index date for each of these drugs was the TNFi initiation date or a randomly selected methotrexate dispensing date, respectively. Cardiovascular event risks and cumulative TNFi effect were analyzed by using multivariate Cox proportional-hazards models. RESULTS: By 12 months, TNFi users (N = 9148) had fewer cardiovascular events than methotrexate users (N = 8581) (Kaplan-Meier rates: 1.45% vs 4.09%: P < .01). TNFi users had overall lower cardiovascular event hazards than methotrexate users (hazard ratio = 0.55; P < .01). Over 24 months' median follow-up, every 6 months of cumulative exposure to TNFis were associated with an 11% cardiovascular event risk reduction (P = .02). LIMITATIONS: Lack of clinical assessment measures. CONCLUSIONS: Psoriasis patients receiving TNFis had a lower major cardiovascular event risk compared to those receiving methotrexate. Cumulative exposure to TNFis was associated with a reduced risk for major cardiovascular events.