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ORIGINAL RESEARCH article
Front. Neurol.
Sec. Stroke
Volume 15 - 2024 |
doi: 10.3389/fneur.2024.1465144
This article is part of the Research Topic Advances and controversies in ischemic stroke management: from prevention to diagnosis and acute treatment View all 86 articles
Clinical features and in-hospital mortality Predictors of concurrent cardio-cerebral infarction: Insights from a dual-center retrospective study
Provisionally accepted
Weiwei Gao
1
Lingfeng Yu
2
Shoyue Jin
1
Lijuan Cai
1
Jingjing Fang
3
Xiaoqian Wang
2
Qingwei Yang
1
Xingyu Chen
1
Tao Ye
2*
Renjing Zhu
1*- 1 Zhongshan Hospital, Xiamen University, Xiamen, China
- 2 Xiamen University Affiliated Cardiovascular Hospital, Xiamen, Fujian Province, China
- 3 West China Xiamen Hospital of Sichuan University, Xiamen, Fujian Province, China
Objective: This study aimed to enhance the understanding of Cardio-cerebral infarction (CCI) clinical features and identify key prognostic factors, thereby providing an empirical foundation for advancing prevention and treatment strategies and ultimately improving clinical outcomes for CCI patients. Methods: We retrospectively analyzed 17645 AIS and 7584 AMI patients admitted to two hospitals from 2014 to 2023. Univariate analysis, Spearman correlation, and multivariate logistic regression were performed to identify independent risk factors. Receiver operating characteristic (ROC) curves were used to determine optimal cutoff values. Results: This study enrolled 85 patients with CCI, representing an overall CCI incidence of approximately 0.34%. Males comprised 64.71% of the cohort. ST-segment elevation myocardial infarction and cardiogenic cerebral infarction were the most predominant subtypes. The in-hospital mortality rate was 30.59%, with 65.38% of deaths attributed to cardiac causes. Multivariate logistic regression analysis identified three independent risk factors for in-hospital mortality: elevated neutrophil-to-lymphocyte ratio (NLR), decreased serum albumin, and increased peak N-terminal pro-B-type natriuretic peptide levels (NT-proBNP). ROC curve analysis demonstrated that the area under the curve (AUC) for the NLR, albumin concentration and peak NT-proBNP concentration were 0.863, 0.723, and 0.824, respectively. The optimal cutoff values were 6.914 for NLR, 33.80 g/L for albumin, and 9474.50 pg/mL for peak NT-proBNP. The AUC of the combined diagnostic model reached 0.959, significantly outperforming the individual indicators. Conclusion: Elevated NLR, decreased serum albumin, and increased peak NT-proBNP levels independently predict in-hospital mortality in CCI patients. Combining these biomarkers enhances predictive capability for adverse outcomes.
Keywords: Cardio-cerebral infarction1, In-Hospital Mortality2, Neutrophil-to-lymphocyte ratio3, albumin4, N-terminal pro-B-type natriuretic peptide5
Received: 19 Jul 2024; Accepted: 16 Sep 2024.
Copyright: © 2024 Gao, Yu, Jin, Cai, Fang, Wang, Yang, Chen, Ye and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Tao Ye, Xiamen University Affiliated Cardiovascular Hospital, Xiamen, Fujian Province, China
Renjing Zhu, Zhongshan Hospital, Xiamen University, Xiamen, China
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