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Determination of risk factors affecting the in-hospital prognosis of patients with acute ST segment elevation myocardial infarction after percutaneous coronary intervention.
Wang, Rui; Mei, Biqi; Liao, Xinlong; Lu, Xia; Yan, Lulu; Lin, Man; Zhong, Yao; Chen, Yili; You, Tianhui.
Affiliation
  • Wang R; School of Nursing, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
  • Mei B; School of Nursing, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
  • Liao X; School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
  • Lu X; School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
  • Yan L; School of Nursing, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
  • Lin M; School of Nursing, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
  • Zhong Y; School of Nursing, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
  • Chen Y; Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China. ylinter@163.com.
  • You T; School of Nursing, Guangdong Pharmaceutical University, Guangzhou, 510310, China. youth888cn@aliyun.com.
BMC Cardiovasc Disord ; 17(1): 243, 2017 Sep 12.
Article in En | MEDLINE | ID: mdl-28899364
ABSTRACT

BACKGROUND:

To determine the factors affecting the in-hospital prognosis of patients with acute ST segment elevation myocardial infarction (STEMI) after percutaneous coronary intervention (PCI), and to establish its prognostic discriminant model.

METHODS:

A total of 701 consecutive STEMI patients undergoing PCI were enrolled in this study. The patients were divided into two groups, good prognosis and poor prognosis, based on whether the patient had adverse outcomes (death or heart function ≥ grade III) at discharge. Demographic and basic clinical characteristics, diagnosis at admission (e.g., ventricular function, complications, or hyperlipidemia), and biomedical indicators (e.g., blood count, basal metabolism and biochemical composition, blood lipid and glucose levels, myocardial biomarkers, and coagulation) were collected and analyzed.

RESULTS:

We determined 22 factors as risk factors for the in-hospital prognosis of STEMI patients after PCI age, cardiac function during hospitalization, complications, history of diabetes mellitus, et al., among which the history of diabetes, uric acid, urea nitrogen, and activated partial thromboplastin time (APTT) were independent risk factors.

CONCLUSION:

We identified four independent risk factors for the in-hospital prognosis of STEMI patients after PCI and generated a prognostic model to predict the adverse outcomes of these patients.
Subject(s)
Key words

Full text: 1 Database: MEDLINE Main subject: Postoperative Complications / Risk Assessment / Percutaneous Coronary Intervention / ST Elevation Myocardial Infarction / Inpatients Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Year: 2017 Type: Article

Full text: 1 Database: MEDLINE Main subject: Postoperative Complications / Risk Assessment / Percutaneous Coronary Intervention / ST Elevation Myocardial Infarction / Inpatients Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Year: 2017 Type: Article