Construction of a predictive model for depressive symptoms following acute myocardial infarction and its impact on prognosis
Bibliographic Data
| ID | 15519651 |
|---|---|
| Authors | Lei Ren (0000-0003-0368-9213), Hongqi Wang (0000-0002-2764-1778), Xin Su (0000-0002-3487-3681), Yangyang Yang (0000-0002-2010-4558), Yuanzhuo Zhang, Xiaoyan Yin (0000-0003-2116-7312), Dapeng Zhang (0000-0002-0798-7982), Guangquan Hu (Second Hospital of Anhui Medical University, corresponding author), Bin Ning (0000-0003-4822-716X, corresponding author) |
| Year | 2025 |
| Volume | 16 |
| Pages | 1431182-1431182 |
| Publication date | 2025-04-29 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2025.1431182 |
| PMID | 40365002 |
| OpenAlex | W4409957862 |
| Language | EN |
| References cited | 33 |
Killip class III, monocyte count, albumin levels, CRP, and LVEF are significant predictors of post-AMI depressive symptoms. The predictive model based on these factors demonstrates good calibration and discriminative ability; moreover, depressive symptoms adversely affect the prognosis of AMI patients, with more severe symptoms correlating with a higher incidence of major adverse cardiovascular events
Anxiety · Cardiology · Depression (economics · Depressive symptoms · Myocardial infarction · Psychiatry · Cardiac Health and Mental Health · Medicine · Mental Health Research Topics · Resilience and Mental Health · Internal Medicine
| Highly cited | No |
|---|