Aberrant Circulating SNHG1 Serves as a Biomarker to Distinguish Acute Myocardial Infarction and Construction of a Risk Model for Secondary Heart Failure.

Acute myocardial infarction (AMI) is a severe condition observed in patients with coronary heart disease, and heart failure (HF) often occurs after AMI. This study aimed to evaluate the clinical significance of long noncoding RNA (lncRNA) small nucleolar RNA host gene 1 (SNHG1) in the diagnosis and prognosis of AMI and to construct a logistic predict model to determine the risk of post-AMI HF. This study analyzed the data of 229 patients with AMI. Serum SNHG1 levels were examined using quantitative real-time PCR, and its diagnostic value was evaluated using receiver operating characteristic analysis. The predictive value of SNHG1 for HF onset was evaluated using the Kaplan-Meier method and Cox regression analysis. The risk factors and predictive parameters included in the predictive model of post-AMI HF were determined using multivariate logistic regression analysis. In this study, we found that reduced serum SNHG1 was negatively correlated with the Gensini score of patients with AMI. The diagnostic performance of combining cardiac troponin I (cTnI) and creatine kinase (CK)-MB and SNHG1 was the best. Lower SNHG1 expression served as an independent indicator for HF secondary to AMI. A logistic risk model was constructed with the following equation: P=1/[e((-2.809-0.438 x age-0.371 x cTnI-0.412 x CK-MB -0.586 x LVEF-0.751 x Gensini score+0.665 x SNHG-1))], and the predictive accuracy of this model was relatively high with an area under the curve of 0.890. Taken together, our results revealed that reduced SNHG1 combining cTnI and CK-MB had the best diagnostic performance in patients with AMI. A logistic risk model based on SNHG1, age, cTnI, CK-MB, left ventricular ejection fraction, and Gensini score may help to determine the development of HF in patients with AMI.