@article{Zohra_Urooj_Khalid_Khan_Siraj_Rana_2021, title={DIAGNOSTIC ACCURACY OF MODIFIED EARLY OBSTETRIC WARNING SYSTEM FOR PREDICTION OF MATERNAL MORBIDITY}, volume={71}, url={https://pafmj.org/PAFMJ/article/view/3870}, DOI={10.51253/pafmj.v71i4.3870}, abstractNote={<p><strong>Objective:</strong> To determine the diagnostic accuracy of modified early obstetric warning system for predicting maternal morbidity keeping ICU admission as “gold standard”.</p> <p><strong>Study Design:</strong> Cross sectional validation study.</p> <p><strong>Place and Duration of Study:</strong> Department of Obstetrics and Gynecology, Pak Emirates Military Hospital, Rawalpindi, from Oct 2018 to Apr 2019.</p> <p><strong>Methodology:</strong> A total of 205 patients of singleton pregnancy, post-natal period <6 weeks, history of hypertension and diabetes were considered in the study. Women were followed up to 6 weeks for maternal morbidity in term of intensive care admission. All the data regarding findings of Modified early obstetric warning system and intensive care admission was noted.</p> <p><strong>Results:</strong> The age range of patients was 18-40 years with mean age of 31.585 ± 3.31 years, mean gestational age was 37.595 ± 1.84 weeks and mean parity was 1.839 ± 1.59. Modified early obstetrics warning system as shown sensitivity of 84.38%, specificity 97.11%, diagnostic accuracy by 95%, positive predictive value of 84.38%, negative predictive value of 97.11%, (p=0.001) for prediction of maternal morbidity.</p> <p><strong>Conclusion:</strong> Modified early obstetrics warning system chart fulfills most of criteria of ideal screening tool making it a significant bedside screening tool which can predict obstetric morbidity and mortality in pregnant patients.</p>}, number={4}, journal={Pakistan Armed Forces Medical Journal}, author={Zohra, Sadaf and Urooj, Uzma and Khalid, Nayla and Khan, Sumaira and Siraj, Asifa and Rana, Munawar Jannat}, year={2021}, month={Aug.}, pages={1134–37} }