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Shehla Channa
Saira Dars
Saima Gaffar
Fahmida Gul
Kanwal Abbas
Nayab Qazi


Risk prediction, Preeclampsia, Maternal outcomes, FullPIERS


Background: Preeclampsia a complex, unpredictable illness affecting multiple body systems, occurs in 10% of pregnancies worldwide and is the leading cause of maternal and perinatal morbidity and mortality, with the PIER score aiding in early detection.

Objective: To assess the morbidity and adverse outcomes of pre-eclamptic women using the fullPIERS risk prediction model.

Materials and Methods: This study was conducted at Liaquat University, involved 216 women with specific criteria were included after informed consent, using the PIERS calculator to assess the likelihood of negative outcome.

Results: Total 216 pre-eclampsia patients were involved, Out of these, 17% experienced adverse maternal outcome.

Conclusion: The fullPIERS calculator effectively predicted unfavorable maternal outcomes in females with preeclampsia based on their risk score.

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1. Mayrink J, Costa ML, Cecatti JG. Preeclampsia in 2018: Revisiting Concepts, Physiopathology, and Prediction. Sci World J. 2018;2018.
2. Payne B, Hodgson S, Hutcheon JA, Joseph KS, Li J, Lee T, et al. Performance of the fullPIERS model in predicting adverse maternal outcomes in pre-eclampsia using patient data from the PIERS [Pre-eclampsia Integrated Estimate of Risk] cohort, collected on admission. BJOG An Int J Obstet Gynaecol. 2013;120[1]:1138.
3. Ukah UV, Payne B, Hutcheon JA, Ansermino JM, Ganzevoort W, Thangaratinam S, et al. Assessment of the fullPIERS risk prediction model in women with early-onset preeclampsia. Hypertension. 2018;71[4]:659–65.
4. Goswami P, Memon S ,Ujjan I et al Association Of Spiral Artery Remodeling And Vitamin D Receptors [Vdr] In Preeclampsia 2023; 10.53555/jptcp.v30i18.3334 .
5. Rebahi H, Still ME, Faouzi Y, El Adib AR. Risk factors for eclampsia in pregnant women with preeclampsia and positive neurosensory signs. Turk Jinekoloji ve Obstet Dern Derg. 2018;15[4]:227–34.
6. Ngwenya S, Jones B, Heazell AEP, Mwembe D. Statistical risk prediction models for adverse maternal and neonatal outcomes in severe preeclampsia in a low-resource setting:Proposal for a single-centre cross-sectional study at Mpilo Central Hospital, Bulawayo, Zimbabwe. BMC Res Notes. 2019;12[1]:1–11.
7. Thangaratinam S, Allotey J, Marlin N, Dodds J, Cheong-See F, von Dadelszen P, et al. Prediction of complications in early-onset pre- eclampsia [PREP]: Development and external multinational validation of prognostic models. BMC Med. 2017;15[1]:1–11.
8. Shehla S, Shazia T, Anam W, Hanif Q. Optimising preeclampsia first-trimester screening using three parameters. J Coll Physicians Surg Pak . 2023;33[9]:995–1000.
9. Onuh SO, Aisien AO. Maternal and fetal outcome in eclamptic patients in Benin City, Nigeria. J Obstet and Gynaecol. 2004;24[7]:765–68.
10. McClure EM, Saleem S, Pasha O, Goldenberg RL. Stillbirth in developing countries: a review of causes, risk factors and prevention strategies. J Matern Fetal Neonatal Med. 2009;22[3]:183–90.
11. U.Vivian, Ukah,Beth Payne,Jennifer et al Assessment of the fullPIERS Risk Prediction Model in Women With Early-Onset Preeclampsia.Hypertension. 2018;71:659–665
12. Agrawal S, Maitra N. Prediction of Adverse Maternal Outcomes in Preeclampsia Using a Risk Prediction Model. J Obstet Gynecol India. 2016;66[1]:104–11.
13. Martin JN Jr, May WL, Magann EF, Terrone DA, Rinehart BK, Blake PG. Early risk assessment of severe preeclampsia: admission battery of symptoms and laboratory tests to predict likelihood of subsequent significant maternal morbidity. Am J Obstet Gynecol. 1999;180:1407–
14. Cavkaytar S, Ugurlu EN, Karaer A, Tapisiz OL, Danisman N. Are clinical symptoms more predictive than laboratory parameters for adverse maternal outcome in HELLP syndrome? Acta Obstet Gynecol Scand. 2007;86:648-51.
15. Yen TW, Payne B, Qu Z, Hutcheon JA, Lee T, Magee LA, Walters BN, von Dadelszen P. Using clinical symptoms to predict adverse maternal and perinatal outcomes in women with preeclampsia: data from the PIERS [pre-eclampsia integrated estimate of risk] study. J Obstet Gynaecol Can. 2011;33[8]:803- 9.
16. Kozic JR, Benton SJ, Hutcheon JA. Abnormal liver function tests as predictors of adverse maternal outcomes in women with preeclampsia. J Obstet Gynaecol Can. 2011;33[10]:995–1004.
17. Hawkins T, Roberts J, Mangos G. Plasma uric acid remains a marker of poor outcome in hypertensive pregnancy: a retrospective cohort study. BJOG. 2012;119:484