Prognostic Value of the PARIS Thrombotic Risk Score for 2-Year Mortality After Percutaneous Coronary Intervention

Xueyan Zhao1, Jianxin Li1, Xiaofang Tang1

  • 11 State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Xicheng District, Beijing, China.

Insights

The Patterns of non-Adherence to Anti-Platelet Regimen in Stented Patients (PARIS) score predicts mortality after percutaneous coronary intervention (PCI). High-risk patients faced significantly higher mortality, indicating the score

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Clinical Risk Stratification

Background:

  • Percutaneous coronary intervention (PCI) is a common procedure for coronary artery disease.
  • Predicting thrombotic risk after PCI is crucial for patient management.
  • The Patterns of non-Adherence to Anti-Platelet Regimen in Stented Patients (PARIS) score is a novel tool for assessing this risk.

Purpose of the Study:

  • To evaluate the prognostic value of the PARIS thrombotic risk score for mortality and major adverse cardiovascular and cerebrovascular events (MACCE) in patients undergoing PCI.
  • To compare the prognostic performance of the PARIS score for mortality versus MACCE.

Main Methods:

  • A prospective, observational study enrolled 10,724 consecutive patients undergoing PCI.
  • The primary endpoint was all-cause death; the secondary endpoint was MACCE (death, myocardial infarction, revascularization, stent thrombosis, or stroke).
  • Statistical analysis included hazard ratios and area under the receiver operating characteristic curve (AUROC) to assess prognostic value.

Main Results:

  • In 9782 patients without in-hospital events, the high-risk PARIS score group had 2.31 times higher mortality risk (P = .001).
  • The PARIS score demonstrated prognostic value for mortality (AUROC, 0.607) and MACCE (AUROC, 0.544) (P < .001 for both).
  • The score's prognostic value for mortality was significantly better than for MACCE (P = .04).

Conclusions:

  • The PARIS thrombotic risk score has modest prognostic value for predicting mortality and MACCE in patients after PCI.
  • The score appears more effective in predicting all-cause mortality compared to the composite MACCE endpoint.
  • This suggests the PARIS score can aid in identifying high-risk individuals for closer monitoring post-PCI.

Related Concept Videos

Nursing Interventions I: Taxonomy of Nursing Interventions01:03

Nursing Interventions I: Taxonomy of Nursing Interventions

Nursing interventions are chosen as part of the planning process to achieve patient outcomes. Once nursing diagnoses are determined, the goals and outcomes are specified, then the nursing interventions are selected and individualized according to the patient's situation.
A nursing intervention is a treatment or action based on scientific concepts and knowledge from the nursing, behavioral, and physical sciences. Identifying and prioritizing nursing interventions based on the desired outcome...
3.6K
Introduction to z Scores01:06

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
11.0K
Introduction to z Scores01:05

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
1.2K
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
18.4K
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
3.1K
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.0K