B-type Natriuretic Peptide and RISK-PCI Score in the Risk Assessment in Patients with STEMI Treated by Primary Percutaneous Coronary Intervention

Ašanin, Milika; Mrdović, Igor; Savić, Lidija; Matić, Dragan; Krljanać, Gordana; Vukcevic, Vladan; Orlić, Dejan; Stanković, Goran; Marinković, Jelena; Stanković, Sanja

doi:10.7754/clin.lab.2015.150523

Cited by 2 publications

(9 citation statements)

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“…In addition to baseline clinical characteristics, the RISK-PCI score also includes echocardiographic and angiographic characteristics, which makes it different from most of the other risk scores which refer to patients with STEMI [2, 9, 16, 17]. It has been demonstrated that the risk scores which include both clinical and angiographic variables have an improved prognostic accuracy as compared to risk scores which include only clinical or only angiographic variables [4, 6, 12, 13].…”

Section: Discussionmentioning

confidence: 99%

“…It has been demonstrated that the risk scores which include both clinical and angiographic variables have an improved prognostic accuracy as compared to risk scores which include only clinical or only angiographic variables [4, 6, 12, 13]. In addition to predictors of great prognostic importance, such as age, anterior infarction, bundle branch block, renal dysfunction, ejection fraction, and postprocedural flow TIMI <3, which were present in previous scores, the RISK-PCI score includes variables that were not used in earlier scores, such as previous infarction, complete AV block at admission, glucose intolerance, leukocytosis, postprocedural flow <1, and small vessel size [9, 16]. These variables are well-known predictors of adverse events upon STEMI, both in short-term and long-term follow-up [12, 16].…”

Section: Discussionmentioning

confidence: 99%

“…They are used for estimating the risk of the occurrence of a specific adverse event over a shorter or longer period of time [1]. Several risk scores have been used for the stratification of patients with STEMI, and they can be classified into two groups: risk scores developed in the thrombolytic era and risk scores developed in the pPCI era [1, 9]. The RISK-PCI is a novel, simple score for the prediction of 30-day major adverse cardiovascular events (MACE) and death in STEMI patients treated with pPCI [2, 9].…”

Section: Introductionmentioning

confidence: 99%

“…Several risk scores have been used for the stratification of patients with STEMI, and they can be classified into two groups: risk scores developed in the thrombolytic era and risk scores developed in the pPCI era [1, 9]. The RISK-PCI is a novel, simple score for the prediction of 30-day major adverse cardiovascular events (MACE) and death in STEMI patients treated with pPCI [2, 9]. It has recently been shown that the RISK-PCI score can be used for the prediction of early and late stent thrombosis after pPCI [10].…”

Section: Introductionmentioning

confidence: 99%

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Using the RISK-PCI Score in the Long-Term Prediction of Major Adverse Cardiovascular Events and Mortality after Primary Percutaneous Coronary Intervention

Savić

Mrdović

Ašanin

et al. 2019

Journal of Interventional Cardiology

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Background/Aim The RISK-PCI is a simple score for the prediction of 30-day major adverse cardiovascular events (MACE) and mortality in patients treated with primary PCI (pPCI). The aim of the present study is to evaluate the prognostic performance of the RISK-PCI score in predicting MACE and mortality in the long-term follow-up of STEMI patients treated with pPCI. Method The present study enrolled 2,096 STEMI patients treated with pPCI included in the RISK-PCI trial. Patients presenting with cardiogenic shock were excluded. The composite end-point MACE comprising cardiovascular mortality, nonfatal reinfarction and stroke. Patients were followed up at 6 years after enrollment. Results One-year and 6-year MACE occurred in 229 (10.9%) and 285 (13.6%) patients, respectively; and 1-year and 6-year mortality occurred in 128 (6.2%) and 151 (7.2%) patients, respectively. The RISK-PCI score was an independent predictor for 1-year MACE (HR 1.24, 95% CI 1, 18–1.31, p < 0.001), 6-year MACE (HR 1.22, 95% CI 1.16–1.28, p < 0.001), 1-year mortality (HR 1.21, 95% CI 1.13–1.29, p < 0.001), and 6-year mortality (HR 1.23, 95% CI 1.15–1.31, p < 0.001). The discrimination of the RISK-PCI score to predict 1-year and 6-year MACE and mortality was good: for 1-year MACE c-statistic 0.78, for 6-year MACE c-statistic 0.75, for 1-year mortality c-statistic 0.87, and for 6-year mortality c-statistic 0.83. The nonsignificant Hosmer–Lemeshow goodness-of-fit estimates for 1-year MACE (p=0.619), 6-year MACE (p=0.319), 1-year mortality (p=0.258), and 6-year mortality (p=0.540) indicated a good calibration of the model. Conclusion The RISK-PCI score demonstrates good characteristics in the assessment of the risk for the occurrence of MACE and mortality during long-term follow-up after pPCI.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using the RISK-PCI Score in the Long-Term Prediction of Major Adverse Cardiovascular Events and Mortality after Primary Percutaneous Coronary Intervention

Savić

Mrdović

Ašanin

et al. 2019

Journal of Interventional Cardiology

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“…The test results in the test sample indicated that the model in predicting the risk of non-fatal drowning in students was acceptable, with an area under the ROC curve (AUC) of 0.680. Generally speaking, the AUC is around 0.7 in the population-based prediction models of a certain event [29, 30], and the AUC is usually larger than 0.85 in prediction models of clinical trials [31, 32].…”

Section: Discussionmentioning

confidence: 99%

An exploratory model for the non-fatal drowning risks in children in Guangdong, China

Zhu

ZhiShan

et al. 2019

BMC Public Health

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Background Drowning is a leading cause of accidental death in children under 14 years of age in Guangdong, China. We developed a statistical model to classify the risk of drowning among children based on the risk factors. Methods A multiple-stage cluster random sampling was employed to select the students in Grades 3 to 9 in two townships in Qingyuan, Guangdong. Questionnaire was a self-reported measure consisting of general information, knowledge, attitudes and activities. A univariate logistic regression model was used to preliminarily select the independent variables at a P value of 0.1 for multivariable model. Three-quarters of the participants were randomly selected as a training sample to establish the model, and the remaining were treated as a testing sample to validate the model. Results A total of 8390 children were included in this study, about 12.18% (1013) experienced drowning during the past one year. In the univariate logistic regression model, introvert personality, unclear distributions of water areas on the way to school, and bad relationships with their classmates and families were positively associated with drowning. However, females, older age and lower swimming skills were negatively associated with drowning. After employing the prediction model with these factors to estimate drowning risk of the students in the testing samples, the results of Hosmer-Lemeshow tests showed non-significant differences between the predictive results and actual risk (χ2 = 5.97, P = 0.65). Conclusions Male, younger children, higher swimming skills, bad relationship with their classmates and families, introvert personality and unclear distributions of water areas on the way to school were important risk factors of non-fatal drowning among children. The prediction model based on these variables has an acceptable predictive ability.

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B-type Natriuretic Peptide and RISK-PCI Score in the Risk Assessment in Patients with STEMI Treated by Primary Percutaneous Coronary Intervention

Cited by 2 publications

References 0 publications

Using the RISK-PCI Score in the Long-Term Prediction of Major Adverse Cardiovascular Events and Mortality after Primary Percutaneous Coronary Intervention

Using the RISK-PCI Score in the Long-Term Prediction of Major Adverse Cardiovascular Events and Mortality after Primary Percutaneous Coronary Intervention

An exploratory model for the non-fatal drowning risks in children in Guangdong, China

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