• Thomson
• Pasaribu Hotma Partogi
• Edianto Deri
• Lintang Letta Sari
• Kaban Yostoto

Introduction: Obstetric population differs from the general population because of physiologic changes that happen during pregnancy. Many scoring system have been proposed as a potential tool to reduce maternal morbidity and mortality, by assessing abnormal values in vital sign or laboratory parameters. We sought to assess the performance of Obstetric Early Warning Score (OEWS) by Carle et al, to predict the prognosis of obstetric patients receiving ICU treatment using baseline data obtained at the beginning of ICU treatment. Methodology: This study is a cohort retrospective study, conducted at H. Adam Malik General Hospital Medan. The study subject was the Medical Record from patients admitted from Febuary 2016 - June 2018. Sample count using the total sampling method. The Obstetric Early warning Score is calculated based on values of the following variables : systolic and diastolic blood pressure, heart rate, respiratory rate, body temperature, fraction of inspired oxygen (FiO2) to maintain O2 saturation of more than or equal to 96% and level of conciousness. Result: From the OEWS analysis using the ROC curve it was found that the area under the ROC curve (AUC) with OEWS of 9, was 90.4% (95% CI: 83.1% - 97.8%). With OEWS of 9, we found sensitivity of 85 % and specifisity of 83,3%. Positive predictive value of 65,4% and Negative Predictive Value of 93,8%. Conclusion: OEWS in this study has a very good ability to predict maternal mortality (p<0,001 with AUC>90%).

ICU, OEWS, Maternal Mortality

"PERFORMANCE OF OBSTETRIC EARLY WARNING SCORE IN PATIENTS WITH SEVERE CONDITIONS FOR THE PREDICTION OF MATERNAL MORTALITY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.280-285, February-2020, Available :http://www.jetir.org/papers/JETIR2002243.pdf

"PERFORMANCE OF OBSTETRIC EARLY WARNING SCORE IN PATIENTS WITH SEVERE CONDITIONS FOR THE PREDICTION OF MATERNAL MORTALITY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp280-285, February-2020, Available at : http://www.jetir.org/papers/JETIR2002243.pdf