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Indian Journal of Obstetrics and Gynecology

Volume  7, Issue 4, October-December 2019, Pages 594-599
 

Original Article

Using SOFA Score to Predict Mortality Among Patients Admitted in Obstetric ICU at Tertiary Care Institution in India

Neel Kantilal Vaghasia1, Ragini Verma2, Apurva Ratnu3

13rd Year Resident, 2Professor and Head, Department of Obstetrics and Gynaecology, Government Medical College, Surat, Gujarat 395001, India. 3Maternal Health Consultant, Health and Family Welfare Department, Gujarat, India.

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DOI: http://dx.doi.org/10.21088/ijog.2321.1636.7419.4

Abstract

Introduction: Critical care in Obstetrics (CCOB) is an emerging area of Obstetrics with many pregnant mothers requiring critical care due to better primary care. Present study is done to evaluate use of maximum SOFA score in predicting mortality amongst mothers admitted at Obstetric ICU in a tertiary care center at Gujarat, India. Methodology: The maximum SOFA score of 212 pregnant mothers admitted to Obstetric ICU during the study period was calculated using the sum of the result of each of the six components of scoring. Interventions required during ICU stay and outcome of pregnant mothers with respect to maximum SOFA score was noted. Results: Majority (74.5%) pregnant mothers had maximum score of 6 to 10, 13.2% had score of 11 to 15, 8.9% had scores between 16 and 20, while 3.4% had score of between 21 and 25. There was no mortality in the SOFA score group of 6–10, while 7.1% mortality was noted in SOFA group 11 to 15, 84% mortality in SOFA group of 16–20 and 100% in 21 to 25 group. Conclusion: SOFA score is a good indicator of risk of mortality amongst the Obstetric ICU admissions. Higher SOFA score is associated with higher mortality. Anyone with SOFA score with less than 15 has good chances of survival subject to appropriate care in critical care unit. Furthermore, data is very well comparable with international standards and suggest availability of similar quality care in Indian settings.


Keywords : Obstetric ICU; SOFA score; maternal mortality.
Corresponding Author : Neel Kantilal Vaghasia