| Literature DB >> 34276813 |
Ramón Arroyo-Espliguero1, María C Viana-Llamas1, Alberto Silva-Obregón2, Pablo Avanzas3,4,5.
Abstract
Atherosclerosis is a chronic inflammatory disease. Several circulating inflammatory markers have been proposed for clinical use due to their ability to predict future cardiovascular events and may be useful for identifying people at high risk who might benefit from specific treatment to reduce this risk. Moreover, the identification of new therapeutic targets will allow the development of drugs that can help reduce the high residual risk of recurrence of cardiovascular events in patients with coronary artery disease. The clinical benefits of reducing recurrent major cardiovascular events recently shown by canakinumab and colchicine have renewed the cardiology community's interest in inflammation as an aetiopathogenic mechanism for atherosclerosis. This review explores the use of C-reactive protein, which is the most frequently studied biomarker in this context; the concept of residual risk in primary and secondary cardiovascular prevention; and the current recommendations in international guidelines regarding the role of this inflammatory biomarker in cardiovascular risk stratification.Entities:
Keywords: C-reactive protein; Inflammation; coronary artery disease; primary prevention; secondary prevention
Year: 2021 PMID: 34276813 PMCID: PMC8280753 DOI: 10.15420/ecr.2020.49
Source DB: PubMed Journal: Eur Cardiol ISSN: 1758-3756
Representative Studies Assessing the Relationship Between C-reactive Protein and Recurrent Mayor Cardiovascular Events in Patients with Stable Coronary Artery Disease and Acute Coronary Syndromes
| Author | Study | n | CRP (mg/l) | Time | Follow-up | Events | Adjusted RR | Significance |
|---|---|---|---|---|---|---|---|---|
| Arroyo-Espliguero et al. 2004[ | Unicentric | 790 | >3 | – | 1 year | CV death, MI, UA | 1.9 (1.1–3.5) | ✓ |
| Sattar et al. 2007[ | PROSPER | 2,515 | Tertiles | – | 3.2 years | CV death, MI, stroke | 1.3 (1.04–1.64) | ✓ |
| Held et al. 2017[ | STABILITY | 14,406 | Quartiles | – | 3.7 years | CV death, MI, stroke | 1.36 (1.14–1.63) | ✓* |
| Pradhan et al. 2018[ | SPIRE-1 and -2 | 9,738 | Tertiles | – | 14 weeks | CV death, MI, UA, stroke | 1.62 (1.14–2.30) | ✓ |
| Bohula et al. 2018[ | FOURIER | 27,564 | Two-fold increase | – | 3 years | CV death, MI, UA, stroke | 1.09 (1.07–1.12) | ✓ |
| Heeschen et al. 2000[ | CAPTURE | 447 | >10 | Admission | 6 months | Death, MI | 1.97 (1.21–3.59) | ✓ |
| Lindahl et al. 2000[ | FRISC | 917 | 2–10 | >72 hours | 2 years | CV death | 2.3 (1.3–4.1) | ✓ |
| James et al. 2003[ | GUSTO-IV | 7,108 | Quartiles | Admission | 30 days | Death | 1.31 (0.98–1.74) | x |
| Sánchez et al. 2004[ | Unicentric | 83 | 5–8 | Admission | 22 months | CV death | 4.5 (1.6–12.5) | ✓ |
| Ray et al. 2007[ | TACTICS-TIMI18 | 662 | ≥5.2 | 24 hours | 6 months | Death, MI | 1.08 (0.6–2.1) | x |
| Scirica et al. 2007[ | OPUS-TIMI16 | 1,383 | >3 | 48 hours | 30 days | Death | 3.6 (1.5–8.3) | ✓ |
| Raposeiras-Roubín et al. 2013[ | Unicentric | 71 | Continuous‡ | Admission | 19.8 months | CV death, MI | 1.22 (1.09–1.35) | ✓ |
| Sanchís et al. 2004[ | Unicentric | 655 | Δ5 mg/l | 48 hours | 6 months | CV death | 1.02 (1.01–1.04) | ✓ |
| Ridker et al. 2005[ | PROVE-IT TIMI22 | 3,745 | Quartiles | 30 days | 2.5 years | CV death, MI | 1.7 (1.1–2.5) | ✓ |
| Kilcullen et al. 2007[ | EMMACE-2 | 1,448 | Continuous‡ | <24 hours | 1 year | Death | 1.08 (1.05–1.10) | ✓ |
| O’Donoghue et al. 2016[ | CLARITY-TIMI28 | 1,140 | >2.8 | 12 hours | 30 days | CV death, HF | 1.96 (1.17–3.30) | ✓ |
| Vanhaverbeke et al. 2018[ | SAINTEX-CAD | 188 | Continuous‡ | Admission | 17 months | Systolic dysfunction | 5.1 (1.1–23.6) | ✓ |
| Mani et al. 2019[ | VISTA-16 | 4,257 | Continuous‡ | 96 hours | 16 weeks | CV death, MI, UA, stroke | 1.36 (1.13–1.63) | ✓ |
*No longer significant when IL-6 included in the model. †Including high-risk primary prevention. ‡CRP was used as a continuous variable in this study and a cutpoint was not defined. . = significant difference; x = non-significant difference; ACS = acute coronary syndrome; CAD = coronary artery disease; CRP = C-reactive protein; CV = cardiovascular; HF = heart failure; NSTEMI = non-ST segment elevation MI; STEMI = ST-segment elevation MI; UA = unstable angina.
Effects of Lipid-lowering and Anti-inflammatory Drugs on LDL Cholesterol, High-sensitivity C-reactive Protein and Mayor Cardiovascular Events
| Drug | Study | Target | Event Reduction* | Overall/CV Death Reduction† | Adverse Events‡ | LDL-C Reduction | Hs-CRP Reduction |
|---|---|---|---|---|---|---|---|
| Statins | PROVE-IT[ | HMG-CoA reductase | Yes | No | No | Yes | Yes |
| Statins+ezetimibe | IMPROVE-IT[ | Multiple | Yes | No | No | Yes | Yes |
| Evolocumab | FOURIER[ | PCSK9 | Yes | No | No | Yes | No |
| Alirocumab | ODYSSEY[ | PCSK9 | Yes | No | No | Yes | No |
| Bococizumab | SPIRE 1 and SPIRE 2[ | PCSK9 | Yes | No | No | Yes | No |
| Canakinumab | CANTOS[ | IL-1β | Yes | Yes§ | Yes|| | No | Yes |
| Colchicine | COLCOT and LoDoCo/2[ | NLRP3 | Yes | No | No | No | Yes¶,**,†† |
*Reduction of combined primary endpoint. †Reduction of overall or cardiovascular death as endpoints. ‡Severe or fatal adverse events. §In cytokine responders: patients with hs-CRP <2 mg/l after 3-month therapy with canakinumab. ||Risk of fatal infection and sepsis (canakinumab [3 groups] versus placebo). ¶No reduction in hs-CRP levels in COLCOT study (sub-analysis limited to 207 patients)[