QSIRS SCORE IN PREDICTION OF MORTALITY IN PATIENTS WITH SEPSIS: A PROSPECTIVE STUDY

Background: Sepsis is a medical emergency contributing to 1 in 5 deaths worldwide . Both QSOFA score and SIRS criteria are widely used to predict the risk of sepsis and death. But QSOFA score and SIRS criteria has its own limitations. 2022 surviving sepsis guidelines recommend against using QSOFA as a single screening tool. In this study we aim to determine accuracy of predicting mortality with combined SIRS and QS OF Ascore : QSIRS and to compare it with SIRS and Q SOFA. Methodology: It was a prospective observational study. 100 patients with sepsis were included. On admission QSOFA, SIRS, QSIRS were calculated of all patients. Any score of 2 or more was deemed to be a positive score. In hospital mortality was considered as Outcome measure. Receiver Operating Characteristic analyses were performed to determine the Area Under the Curve, along with sensitivity and specicity of various scores were calculated. Results: Out of 100 patients studied 61% was male and 39% were female. Mean age of study participants was 55.7 years. Most common cause of sepsis was pneumonia (43%) followed by urinary tract infections (19 %). 33 deaths were recorded out of 100 patients (33%). In our study we found that QSIRS had the highest sensitivity of (96.96%) in compared to QSOFA(71.6%) and SIRS (84.8%). But the specicity of the QSIRS was low (22.3%). QSOFAhad the highest specicity of 71.6 %, followed by SIRS- 47.7%. AUC in ROC for QSIRS (O.711) was higher compared to QSOFA (0.697), and SIRS (0.588). Conclusion: Our study suggests that QSIRS score is most accurate in predicting mortality in patients with sepsis than SIRS or QSOFAalone. Combinations of QSOFAand SIRS could improve the predictive value for in hospital mortality for patients with sepsis.