Zwolle Risk Score as a Predictor of In-Hospital Mortality in Post Primary Percutaneous Coronary Intervention St-Elevation Myocardial Infarction Patients
DOI:
https://doi.org/10.51253/pafmj.v76iSUPPL-8.14254Keywords:
In-hospital Mortality, Percutaneous coronary intervention, ST-elevation myocardial infarction, Zwolle Risk ScoreAbstract
Objective: To determine the Zwolle Risk Score's (ZRS) prediction accuracy during coronary angiography for clinical outcome in post PCI patients with ST-elevation myocardial infarction keeping in-hospital mortality as primary endpoint.
Study Design: Analytical Cross sectional study
Place and Duration of Study: Adult Cardiology, Armed Forces Institute of Cardiology (AFIC/NNIHD) Rawalpindi, Pakistan from May to Nov 2025
Methodology: Four hundred six STEMI patients of both sexes were enrolled, with age between 18 to 80 years using the non-probability consecutive sampling technique. Patients with NSTEMI, unstable angina, history of PCI or CABG, patients with incomplete clinical data were excluded. ZRS was calculated before the coronary angiography and a score >6 categorized as positive predictor of in-hospital mortality. Every patient was followed up by 72 hours to record mortality outcomes. The parameters of the diagnostic accuracy were determined.
Results: out of Four hundred six patients 311 (76.6%) participants were men. Mean age was 38.75±13.07 years. We analyzed that 95(23.4%) patients were categorized as high risk on the basis of ZRS score while actual in-hospital mortality was counted as 43(10.6%). The study's sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy were 81.4%, 83.5%, 36.8%, 97.4%, and 83.3%, respectively.
Conclusion: The ZRS has a satisfactory diagnostic accuracy in predicting early in-hospital mortality in patients with STEMI who underwent PPCI, with a high sensitivity and negative predictive value. Its ability to repeatedly rule out the risk of early death makes ...
Downloads
Published
License
Copyright (c) 2026 Sana Afnanzai Zai, Ali Nawaz Khan, Ayaz Ahmad, Ali Abbas, Ulfat Ara, Nighat Noor

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.





