A risk‐predictive score for cardiogenic shock after acute myocardial infarction in Chinese patients
| Autor: | Jian Li, Ming Hua Han, Jian Liu, Jian Ming Xiao, Yi Ming Cai, Hong Ma, Min Zhang, Ling Zhao, Tao Guo |
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| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: |
Male
medicine.medical_specialty China Population Clinical Investigations Myocardial Infarction Shock Cardiogenic Blood Pressure Sex Factors Heart Rate Predictive Value of Tests Risk Factors Internal medicine Medicine Humans Myocardial infarction cardiovascular diseases Risk factor Intensive care medicine education Killip class Aged Aged 80 and over education.field_of_study Analysis of Variance Framingham Risk Score business.industry Cardiogenic shock Age Factors Reproducibility of Results General Medicine Middle Aged medicine.disease Logistic Models Shock (circulatory) Case-Control Studies Cardiology Myocardial infarction complications Female medicine.symptom Cardiology and Cardiovascular Medicine business |
| Popis: | Background Cardiogenic shock after acute myocardial infarction (AMI) remains a poor prognosis. Although numerous studies discussed the predictors of cardiogenic shock complicating AMI, the data in Chinese patients is still absent. The goal of this study is to develop a risk-predictive score for cardiogenic shock after AMI, among Chinese patients, so as to guide clinicians to prevent cardiogenic shock. Methods Patients with ST-segment elevated AMI were provided by two Chinese hospitals from 1994 to 2004. Baseline characteristics of each case were documented. Multivariable logistic regression modeling techniques were used to develop a model to predict the occurrence of cardiogenic shock within 72 h after admission. On the basis of the coefficients in the model, a risk score was developed for the probability of cardiogenic shock. To test its viability, another population, which was consistent with the original population, confirmed the scoring. Results Among 2,077 patients, 184 cases developed cardiogenic shock within 72 h. Age, gender, BMI, killip class, MI location, multivessel disease, previous MI, family history of CAD, and thrombolytic therapy were strong predictors for shock after AMI. A risk-predictive score for shock was developed. It predicted cardiogenic shock accurately in another Chinese population. Conclusions A predictive model is developed in Chinese patients with AMI for the first time. It is based on some simple parameters, which can be easily obtained by clinicians. The risk score derived from the model can predict cardiogenic shock accurately. Copyright © 2007 Wiley Periodicals, Inc. |
| Databáze: | OpenAIRE |
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