Predictive Effect of Interleukin-1β on All-Cause Mortality in Patients with Acute Myocardial Infarction

Clicks: 1
ID: 317552
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #48 of 61 articles by views in American Journal of Hypertension

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Objective To evaluate the predictive effect of interleukin-1β (IL-1β) on all-cause mortality in patients with acute myocardial infarction (AMI). Methods A total of 331 patients admitted to the Chest Pain Center of Mindong Hospital Affiliated to Fujian Medical University for AMI from September 2022 to October 2024 were analyzed retrospectively. The patients were classified into 4 groups according to the quartile of the serum IL-1β. Cox regression analysis, Kaplan-Meier method, restricted cubic spline (RCS) analysis, and receiver operating characteristic (ROC) curve analysis were used to examine the correlation between IL-1β and the risk of all-cause mortality. Results After a median follow-up of 13 months, 24 (7.3%) individuals experienced all-cause mortality. There were 3 (3.7%), 2 (2.4%), 3 (3.6%), and 16 (19.5%) deaths in the first, second, third, and fourth quartile group, respectively. Kaplan-Meier analysis showed that compared with the first, second, and third quartile groups, the number of all-cause mortality in the fourth quartile group increased (log-rank test P = .003). Multivariate Cox regression analysis showed that after the adjusted for other factors, compared to the patients in the first quartile group, the patients in the fourth quartile group were at the highest risk of all-cause mortality (Hazard Ratio = 5.82; 95% CI, 1.45-23.30; P = .013). Restricted cubic spline analysis showed that IL-1β was linearly associated with all-course mortality risk (Poverall<0.001, Pnonlinear = 0.421). Receiver operating characteristic curve analysis demonstrated that the area under the curve of IL-1β for prediction of all-cause mortality was 0.774 (95% CI, 0.626-0.881), with a sensitivity of 63.6% and a specificity of 91.2%. Conclusions Interleukin-1β is significantly associated with an increased risk of all-cause mortality in patients with AMI. IL-1β can predict the risk of all-cause mortality in patients with AMI.
Reference Key
openalex_W7164908721 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ye Chunxiang, Z Zhang, Fan Jinmao, Lei Huabing, Liao Ziqi, Lijuan Zheng, Ling Jie, X Y Liu, Wensheng Yang, Xie Jianhua, Fengming Huang, Yanzhou Zhu, X LI
Journal American Journal of Hypertension
Year 2026
DOI
10.1093/ajh/hpaf194
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.