Title

Comparative analysis of clinical decision tools for acute pulmonary embolism at a tertiary care center

Authors

Ashis Tiwari¹, Sukh Dayal Kumhar¹, Praveen Kumar Tagore¹, Jitendra Kanjolia^1,*, Shivani Parihar² & Abha Bardiya³

Affiliation

¹Department of General Medicine, Government Medical College, Datia, Madhya Pradesh, India; ²Department of Pathology, Chirayu Medical College, Bhopal, Madhya Pradesh, India; ³Department of Anaesthesiology, Shyam Shah Medical College, Rewa, Madhya Pradesh, India; *Corresponding author

Email

Ashis Tiwari - E-mail: ashishtiwari.gwldr@gmail.com
Sukh Dayal Kumhar - E-mail: dr.sd.prajapati@gmail.com
Praveen Kumar Tagore - E-mail: tagore.praveen@gmail.com
Jitendra Kanjolia - E-mail: jitendrakanjolia@gmail.com
Shivani Parihar - E-mail: drshivaniparihar199@gmail.com
Abha Bardiya - E-mail: bardiya.abha@gmail.com

Article Type

Research Article

Date

Received February 1, 2026; Revised February 28, 2026; Accepted February 28, 2026, Published February 28, 2026

Abstract

Acute pulmonary embolism (PE) requires accurate risk stratification to guide intensive care versus safe discharge decisions. Therefore, it is of interest to compare original Pneumonia Severity Index (PESI) versus Simplified Pneumonia Severity Index (sPESI) in 410 acute PE patients for predicting 30-day mortality and adverse outcomes. Both indices showed excellent negative predictive values (NPVs) (>98%) for mortality, with sPESI demonstrating higher sensitivity (94.1% vs 89.5%). Original PESI had slightly superior risk discrimination (AUC 0.78 vs 0.75), but sPESI proved more clinically practical. sPESI advances PE management as the preferred bedside tool for identifying low-risk patients suitable for outpatient care.

Keywords

Pulmonary embolism, risk stratification, PESI, sPESI, mortality prediction, clinical decision rules.

Citation

Tiwari et al. Bioinformation 22(2): 754-758 (2026

Edited by

Vini Mehta

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.