Assessing the Incremental Value of Blood Oxygen Saturation (SpO2) in the miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) Risk Prediction Model

Journal of Obstetrics and Gynaecology Canada

Volumn 37, Issue 1, 2015, Pages 16-24

  Payne, Beth A ^a,b   Hutcheon, Jennifer A ^a,b   Dunsmuir, Dustin ^a,b   Cloete, Garth ^c   Dumont, Guy ^a,b   Hall, David ^c   Lim, Joanne ^a,b   Magee, Laura A ^a,b   Sikandar, Rozina ^d   Qureshi, Rahat ^d   van Papendorp, Erika ^c   Mark Ansermino, J ^a,b   von Dadelszen, Peter ^a,b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c STELLENBOSCH UNIVERSITY   (South Africa)

^d AGA KHAN UNIVERSITY   (Pakistan)

Author keywords

Preeclampsia; Prognosis; Pulse oximetry; Recalibration

Indexed keywords

ADULT; ADVERSE OUTCOME; ARTICLE; BLOOD OXYGEN TENSION; BLOOD TRANSFUSION; COHORT ANALYSIS; FEMALE; FETUS DEATH; GENITAL SYSTEM DISEASE ASSESSMENT; HIGH RISK PATIENT; HUMAN; LUNG EDEMA; MAJOR CLINICAL STUDY; MATERNAL HYPERTENSION; MINIPIERS MODEL; NEWBORN DEATH; PAKISTANI; POSTPARTUM HEMORRHAGE; PREDICTIVE VALUE; PREECLAMPSIA; PREGNANCY OUTCOME; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SOUTH AFRICAN; BLOOD; CLINICAL TRIAL; MULTICENTER STUDY; PRE-ECLAMPSIA; PREGNANCY; TRANSCUTANEOUS OXYGEN MONITORING; YOUNG ADULT;

OXYGEN;

ADULT; BLOOD GAS MONITORING, TRANSCUTANEOUS; FEMALE; HUMANS; OXYGEN; PRE-ECLAMPSIA; PREGNANCY; PROSPECTIVE STUDIES; RISK ASSESSMENT; YOUNG ADULT;

EID: 84928762440     PISSN: 17012163     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1701-2163(15)30358-3     Document Type: Article

References (21)

1. Lozano R., Naghavi M., Foreman K., Lim S., Shibuya K., Aboyans V., et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2013, 380(9859):2095-2128.
2. Firoz T., Sanghvi H., Merialdi M., von Dadelszen P. Pre-eclampsia in low and middle income countries. Baillieres Best Pract Res Clin Obstet Gynaecol 2011, 25(4):537-548.
3. Bhutta Z.A., Black R.E. Global maternal, newborn, and child health-so near and yet so far. N Engl J Med 2013, 369(23):2226-2235.
4. World Health Organization, Department of Reproductive Health and Research, Department of Maternal, Newborn, Child and Adolescent Health, Department of Nutrition for Health and Development WHO recommendations for prevention and treatment of pre-eclampsia and eclampsia 2011, Available at:, WHO, Geneva, Accessed July 5, 2012. http://www.who.int/reproductivehealth/publications/maternal_perinatal_health/9789241548335/en.
5. Payne B.A., Hutcheon J.A., Ansermino J.M., Hall D.R., Bhutta Z.A., Bhutta S.Z., et al. A risk prediction model for the assessment and triage of women with hypertensive disorders of pregnancy in low-resourced settings: the miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) multi-country prospective cohort study. PLoS Med 2014, 11(1):e1001589.
6. Millman A., Payne B., von Dadelszen P., PIERS (Pre-eclampsia Integrated Estimate of RiSk) Study Group Oxygen saturation as a predictor of outcomes in women with pre-eclampsia. Pregnancy Hypertens 2010, 1(1):S58.
7. Steegers E.A., von Dadelszen P., Duvekot J.J., Pijnenborg R. Pre-eclampsia. Lancet 2010, 376(9741):631-644.
8. Hudson J., Nguku S.M., Sleiman J., Karlen W., Dumont G.A., Petersen C.L., et al. Usability testing of a prototype Phone Oximeter with healthcare providers in high- and low-medical resource environments. Anaesthesia 2012, 67(9):957-967.
9. Dunsmuir D., Payne B., Cloete G., Petersen C., Görges M., Lim J., et al. Development of mHealth Applications for Pre-eclampsia Triage. IEEE J Biomed Health Inform 2014, 18(6):1857-1864.
10. Pre-eclampsia and Eclampsia, Monitoring, Prevention and Treatment (PRE-EMPT) MiniPIERS supplemental data 2014, PRE-EMPT, Vancouver, Available at:, Accessed November 7, 2014. http://pre-empt.cfri.ca/monitoring/minipiers-supplemental-data.
11. Brown B., Cochran S.W., Helmer O. An evaluation of methodology of Delphi Technique. Biometrics 1967, 23(3):600-606.
12. von Dadelszen P., Payne B., Li J., Ansermino J.M., Pipkin F.B., Cote A.M., et al. Prediction of adverse maternal outcomes in pre-eclampsia: development and validation of the fullPIERS model. Lancet 2011, 377(9761):219-227.
13. Steyerberg E.W., Borsboom G.J., van Houwelingen H.C., Eijkemans M.J., Habbema J.D. Validation and updating of predictive logistic regression models: a study on sample size and shrinkage. Stat Med 2004, 23(16):2567-2586.
14. Steyerberg E.W., Bleeker S.E., Moll H.A., Grobbee D.E., Moons K.G. Internal and external validation of predictive models: a simulation study of bias and precision in small samples. J Clin Epidemiol 2003, 56(5):441-447.
15. Toll D.B., Janssen K.J.M., Vergouwe Y., Moons K.G.M. Validation, updating and impact of clinical prediction rules: a review. J Clin Epidemiol 2008, 61(11):1085-1094.
16. Steyerberg E.W., Vickers A.J., Cook N.R., Gerds T., Gonen M., Obuchowski N., et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 2010, 21(1):128-138.
17. Pencina M.J., D'Agostino R.B., Vasan R.S. Statistical methods for assessment of added usefulness of new biomarkers. Clin Chem Lab Med 2010, 48(12):1703-1711.
18. Pencina M.J., D'Agostino R.B., Pencina K.M., Janssens A.C., Greenland P. Interpreting incremental value of markers added to risk prediction models. Am J Epidemiol 2012, 176(6):473-481.
19. Hanley J.A., McNeil B.J. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982, 143(1):29-36.
20. Deeks J., Altman D. Statistics notes-Diagnostic tests 4: likelihood ratios. BMJ 2004, 329(7458):168-169.
21. Pre-eclampsia and Eclampsia, Monitoring, Prevention and Treatment (PRE-EMPT) Community Level Interventions for Pre-eclampsia (CLIP) 2014, PRE-EMPT, Vancouver, Available at:, Accessed January 1, 2014. https://pre-empt.cfri.ca/%20treatment/clip-trial.