Aims and Objective- To study the prevalence of coagulation abnormalities associated with Intrauterine fetal death. Materials and Method-The study was conducted in Obst &gynec Dept, Tertiary care hospital, Southern Odisha in a study period Aug-2020 to Oct 2022. A detailed clinical history, demographic parameters, causes of IUFD, associated complications and examination findings will be recorded as per the proforma and the following investigations will be done in each case: CBC to ascertain thrombocytopenia, Prothrombin time(PT), Activated partial thromboplastin time(aPTT),D-Dimer ,Fibrinogen assay,Modified ISTH score taken consisting of platelet count, PT and fibrinogen level. Results - Out of the total 116 cases of IUFD, 18 cases were clinically diagnosed with DIC; Prevalence is 15.5% in our study. The mean age of study participants was 25.10 ±6.30 years which ranged from 18 to 37 years. Majority of the cases were primigravida and presented at preterm. Apart from the undiagnosed cases, which was the major part ,from the rest of the cases PIH and Abruptio constituted the major proportion of identifiable causes of IUFD. PIH, Abruptio and HELLP syndrome were the major obstetrical complications contributing to clinical DIC as well as those at risk of developing subsequent DIC which was found to be statistically significant. The sensitivity was found to be more in pregnancy modified ISTH score --(83.3%) compare to ISTH overt score (50%). The specificity was found to be more in ISTH overt score (96.9%) compare to pregnancy modified ISTH score (78.5%) Conclusion- in obstetrics is a life-threatening complication that is secondary to obstetrical and non-obstetrical related complications of pregnancy. It is associated with high maternal and perinatal morbidity and mortality. The present study was conducted to determine the risk of DIC in the cases of IUFD.It is recommended that coagulation studies should be considered in IUFD specially when complicated by PIH. abruption or severe complications such as HELLP syndrome. However, our study is of small sample size (116) requires large studies meta analysis