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Published on: January 28, 2020
[Evaluation of long-term adverse cardiovascular events risk after elective percutaneous coronary intervention]
1Federal State Budgetary Science Institution "Tomsk Research Institute of Cardiology of the Siberian Branch of the Russian Academy of Science".
Insights
A new risk model predicts long-term adverse cardiovascular events after percutaneous coronary intervention (PCI). It identifies high-risk patients needing proactive follow-up strategies for better outcomes.
Area of Science:
- Cardiology
- Interventional Cardiology
- Public Health
Background:
- Elective percutaneous coronary intervention (PCI) is a common procedure for coronary artery disease.
- Long-term adverse cardiovascular events remain a concern for patients post-PCI.
- Predicting these events is crucial for optimizing patient management and follow-up.
Purpose of the Study:
- To analyze long-term outcomes following elective PCI.
- To identify predictors of major adverse cardiovascular events (MACCE).
- To develop a predictive model for long-term MACCE risk stratification.
Main Methods:
- Retrospective study of 151 patients 6 years post-elective PCI.
- Data collected via medical records and telephone interviews.
- MACCE defined as cardiovascular death, acute coronary syndrome, or stroke.
Main Results:
- 40.4% of patients experienced MACCE.
- Key predictors included chronic kidney disease, contrast-induced acute kidney injury, high C-reactive protein, restenosis, COPD, and family history of CVD.
- A predictive model incorporating family history, statin use, blood glucose, and contrast-induced nephropathy risk achieved an AUC of 0.852.
Conclusions:
- A validated risk stratification model can identify patients at high risk for adverse cardiovascular events after elective PCI.
- This model facilitates the timely implementation of intensified follow-up strategies.
- Proactive management based on this model can improve long-term patient outcomes.
Objective:
The aim of our study was to analyze long-term outcomes, to identify their predictors and to develop a model for determining the risk of long-term adverse сardiovascular events after elective percutaneous coronary interventions (PCI).
Materials And Methods:
A retrospective study included 151 patients 6 years after the elective PCI. Outcomes were assessed by analyzing medical records and telephone interviews. The primary composite end point of the study was a major adverse cardiovascular event (MACCE), including death from cardiovascular causes, acute coronary syndrome, acute cerebrovascular accident.
Results:
Death from cardiovascular events was reported in 10.6 % of patients, acute coronary syndrome occurred in 34.4 %, stroke - in 6.6 %. Thus MAСCE occurred in 40.4 % of patients. MACCE predictors in the long-term period were chronic kidney disease, contrast-induced acute kidney injury, baseline C-reactive protein more than 5.5 mg/l. Restenosis of previously installed stents increases the risk of MACCE at 8.09 times, chronic obstructive pulmonary disease - 3.4 times PT - 2.84 times, family history for cardiovascular disease (CVD) - in 2.94 times, a very high risk of contrast-induced nephropathy (CIN) (≥11 points on the R. Mehran scale) - 2.15 times. The most significant MACCE's predictors identified using stepwise logistic regression and included in the developed model are: family history for СVD, statins reception during the procedure of PCI, the initial level of postprandial blood glucose, high risk of CIN (11-15 points on a scale of R. Mehran). AUC values for the found model was 0.852 [95 % CI 0.749-0.956].
Conclusion:
The use of our model of risk stratification in patients after elective PCI allows, on the basis of simple clinical characteristics, to distinguish groups of patients with a high residual risk of adverse cardiovascular events that require the timely application of more active follow-up strategies.
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