Abstract:
Objective To develop a nomogram model to predict risk of in-hospital mortality in elderly patients with acute ST-elevation myocardial infarction(STEMI).
Methods Clinical data of 252 elderly patients with STEMI hospitalized to the First People’s Hospital of Kashgar Prefecture were collected. Paitents were randomly divided into primary cohort and validation cohort in a ratio of 7∶3. Variables that were significantly associated with in-hospital mortality screened by Logistic regression were used to establish a nomogram model with R software.
Results Serum creatinine, heart failure, PCI therapy and e used to establish Variables that were significantly associated with in-hospital mortality screened by Logistrction syndrharacteristic curve (AUC) of the primary cohort and validation cohort was 0.927(95% CI 0.846-0.947) and 0.885 (95% CI 0.816-0.893) respectively.
Conclusions The nomogram model consisting of 4 factors (serum creatinine, heart failure, PCI therapy and β blocker) could predict risk of in-hospital mortality for elderly patients with STEMI accurately. This model is a strong predictor, simple and easily being used for the disease.
Key words:
Acute ST-elevation myocardial infarction,
Elderly,
Nomogram
Guangwu Zhang, Yuping Feng, Liyi Mo, Jiaxuan Liu, Qunying Zhang. Development of a risk nomogram model for prediction of in-hospital mortality in elderly patients with acute ST-elevation myocardial infarction[J]. Chinese Journal of Hygiene Rescue(Electronic Edition), 2022, 08(03): 141-146.