An Easy-to-Use Nomogram Based on SII and SIRI to Predict in-Hospital Mortality Risk in Elderly Patients with Acute Myocardial Infarction.
Yan ChenKailing XieYuanyuan HanQing XuXin ZhaoPublished in: Journal of inflammation research (2023)
The nomogram constructed by combining SII, SIRI, and partial medical history data (age, BMI, previous stroke, and diabetes) at admission has a good predictive effect on the risk of in-hospital death in elderly patients with AMI.
Keyphrases
- acute myocardial infarction
- healthcare
- middle aged
- lymph node metastasis
- type diabetes
- community dwelling
- percutaneous coronary intervention
- cardiovascular disease
- acute care
- emergency department
- atrial fibrillation
- left ventricular
- adverse drug
- body mass index
- electronic health record
- wastewater treatment
- glycemic control
- squamous cell carcinoma
- big data
- adipose tissue
- metabolic syndrome
- weight gain
- brain injury
- deep learning
- data analysis
- cerebral ischemia