Introduction: SOFA SCORE has been used to predict outcomes in patients with sepsis. The present study aims to assess utility of SOFA in predicting outcomes in septic patients at a tertiary care hospital in rural Rajasthan. Literature available on assessing the utility of SOFA SCORE in predicting outcomes in septic patients from rural background is very scanty. The study intends to assess the utility of SOFA SCORE in predicting outcomes in patients in an ICU in a tertiary care hospital in rural Rajasthan. Aim: The objective was to determine the utility of Sequential Organ Failure Assessment (SOFA) score to predict outcome of patients in Intensive Care Unit (ICU) of a tertiary care hospital in rural Rajasthan. Material and Methods: This was an observational prospective study performed in an ICU of a medical college in rural Rajasthan from August 01,2021 till November 30, 2021. 79 patients admitted in MICU with diagnosis of sepsis were studied and their SOFA score was calculated on day of admission and 72 hours after admission. Change in SOFA score (∆ SOFA) at 72 hours was also calculated. Data was analysed using Chi-square test and an independent t- test. To assess the performance of SOFA and ∆ SOFA sensitivity and specificity was calculated. Result: A total of 79 patients were included with mean age of 46.3 out of which 58 were men and remaining were women. Mean SOFA score at admission amongst survivors was 7.49± 4.16 and amongst non survivors was 11.90±4.134. Mean SOFA score at 72 hours among survivors was 4.60±4.089 and among non survivors was 9.33±5.972. The difference in SOFA score at admission and at 72 hours between survivors and non survivors was significant (p < 0.05). Area under the curve for SOFA on day 1 and day 3 predicting mortality in sepsis was 0.744 and 0.743. Area under ROC curve for ∆ SOFA was 0.651. Conclusion: Sofa score at time of admission, after 72 hours of admission have at best only moderate accuracy in predicting outcomes in patients with sepsis in a rural population where majority of infections are vector borne.

Introduction: SOFA SCORE has been used to predict outcomes in patients with sepsis. The present study aims to assess utility of SOFA in predicting outcomes in septic patients at a tertiary care hospital in rural Rajasthan. Literature available on assessing the utility of SOFA SCORE in predicting outcomes in septic patients from rural background is very scanty. The study intends to assess the utility of SOFA SCORE in predicting outcomes in patients in an ICU in a tertiary care hospital in rural Rajasthan. Aim: The objective was to determine the utility of Sequential Organ Failure Assessment (SOFA) score to predict outcome of patients in Intensive Care Unit (ICU) of a tertiary care hospital in rural Rajasthan. Material and Methods: This was an observational prospective study performed in an ICU of a medical college in rural Rajasthan from August 01,2021 till November 30, 2021. 79 patients admitted in MICU with diagnosis of sepsis were studied and their SOFA score was calculated on day of admission and 72 hours after admission. Change in SOFA score (∆ SOFA) at 72 hours was also calculated. Data was analysed using Chi-square test and an independent t- test. To assess the performance of SOFA and ∆ SOFA sensitivity and specificity was calculated. Result: A total of 79 patients were included with mean age of 46.3 out of which 58 were men and remaining were women. Mean SOFA score at admission amongst survivors was 7.49± 4.16 and amongst non survivors was 11.90±4.134. Mean SOFA score at 72 hours among survivors was 4.60±4.089 and among non survivors was 9.33±5.972. The difference in SOFA score at admission and at 72 hours between survivors and non survivors was significant (p < 0.05). Area under the curve for SOFA on day 1 and day 3 predicting mortality in sepsis was 0.744 and 0.743. Area under ROC curve for ∆ SOFA was 0.651. Conclusion: Sofa score at time of admission, after 72 hours of admission have at best only moderate accuracy in predicting outcomes in patients with sepsis in a rural population where majority of infections are vector borne.