Construction and Validation of a Prediction Model for Killip Classes II–IV During Hospitalisation in Patients With Acute ST-segment Elevation Myocardial Infarction

In STEMI patients undergoing PPCI, the combination of sST2, first-visit HR, LVEF, and eGFR can effectively predict patients with Killip classes II-IV during hospitalisation, which may contribute to early intervention and improved patient outcomes.

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Publication Details

Journal
Reviews in Cardiovascular Medicine
Published
2025-09-25
DOI
https://doi.org/10.31083/rcm38402
Citations
1
Primary Topic
Acute Myocardial Infarction Research
Type
article
Field-Weighted Citation Impact
1.39
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article

Construction and Validation of a Prediction Model for Killip Classes II–IV During Hospitalisation in Patients With Acute ST-segment Elevation Myocardial Infarction

Guiying Du, Fei Dong, Rui Jing, Yunqiang Zhang et al.
1 citations
Reviews in Cardiovascular Medicine
Acute Myocardial Infarction Research
1.39
article

Construction and Validation of a Prediction Model for Killip Classes II–IV During Hospitalisation in Patients With Acute ST-segment Elevation Myocardial Infarction

Guiying Du, Fei Dong, Rui Jing, Yunqiang Zhang, Yufei Zhao, Ying Zhou, Mu Guo, Yu Song
article en
1 citations

Abstract

In STEMI patients undergoing PPCI, the combination of sST2, first-visit HR, LVEF, and eGFR can effectively predict patients with Killip classes II-IV during hospitalisation, which may contribute to early intervention and improved patient outcomes.

Reviews in Cardiovascular MedicineVol. 26(9)
TEDA International Cardiovascular Hospital (CN), The Fourth People's Hospital (CN)
Openalex Percentile: Top 14%
Acute Myocardial Infarction Research
1.39
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