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DOI: 10.1055/s-0038-1626716
A Prediction Model for Severe Maternal Morbidity in Laboring Patients at Term
Funding This work was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01: HD 06161619–01A1), the Robert Wood Johnson Foundation Physician Faculty Scholars Program (66329), and the National Center for Research Resources Clinical and Translational Science Award (RR024992).Publication History
11 July 2017
29 December 2017
Publication Date:
08 February 2018 (online)
Abstract
Objective To determine the factors associated with severe maternal morbidity in a modern cohort of women laboring at term and to create a prediction model.
Study Design This is a retrospective cohort study of all term, laboring patients with live births at a single tertiary care center from 2004 to 2014. The primary outcome was composite maternal morbidity including organ failure, amniotic fluid embolism, anesthesia complications, sepsis, shock, thrombotic events, transfusion, or hysterectomy. Multivariable logistic regression was used to identify independent risk factors. Antepartum, intrapartum, and combined risk scores were created and test characteristics were analyzed.
Results Among 19,249 women delivering during the study period, 323 (1.68%) patients experienced severe morbidity, with blood transfusion the most common complication (286, 1.49%). Factors in the antepartum model included advanced maternal age, race, hypertension, nulliparity, history of cesarean delivery, smoking, and unfavorable Bishop score. Intrapartum factors included mode of delivery, use of cervical ripening agents or oxytocin, prolonged second stage, and macrosomia. The combined model had an area under the curve of 0.76 (95% confidence interval [CI], 0.73, 0.79).
Conclusion This three-part risk scoring system can help clinicians counsel patients and guide clinical decision making for anticipating severe maternal morbidity and necessary resources.
Note
This study was previously presented at the Pregnancy Meeting, Society for Maternal-Fetal Medicine, Las Vegas, NV January 25–28, 2017.
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References
- 1 Creanga AA, Berg CJ, Syverson C, Seed K, Bruce FC, Callaghan WM. Pregnancy-related mortality in the United States, 2006-2010. Obstet Gynecol 2015; 125 (01) 5-12
- 2 Callaghan WM, Creanga AA, Kuklina EV. Severe maternal morbidity among delivery and postpartum hospitalizations in the United States. Obstet Gynecol 2012; 120 (05) 1029-1036
- 3 Obstetric Care Consensus No. Obstetric Care Consensus No. 5: severe maternal morbidity: screening and review. Obstet Gynecol 2016; 128 (03) e54-e60
- 4 Centers for Disease Control and Prevention. Severe maternal morbidity in the United States. Available at: http://www.cdc.gov/reproductivehealth/maternalinfanthealth/severematernalmorbidity.html . Accessed October 7, 2016
- 5 Kilpatrick SJ, Berg C, Bernstein P. , et al. Standardized severe maternal morbidity review: rationale and process. Obstet Gynecol 2014; 124 (2 Pt 1): 361-366
- 6 Gray KE, Wallace ER, Nelson KR, Reed SD, Schiff MA. Population-based study of risk factors for severe maternal morbidity. Paediatr Perinat Epidemiol 2012; 26 (06) 506-514
- 7 Geller SE, Rosenberg D, Cox SM. , et al. The continuum of maternal morbidity and mortality: factors associated with severity. Am J Obstet Gynecol 2004; 191 (03) 939-944
- 8 Zwart JJ, Richters JM, Ory F, de Vries JI, Bloemenkamp KW, van Roosmalen J. Severe maternal morbidity during pregnancy, delivery and puerperium in the Netherlands: a nationwide population-based study of 371,000 pregnancies. BJOG 2008; 115 (07) 842-850
- 9 Joseph KS, Liu S, Rouleau J. , et al. Severe maternal morbidity in Canada, 2003 to 2007: surveillance using routine hospitalization data and ICD-10CA codes. J Obstet Gynaecol Can 2010; 32 (09) 837-846
- 10 Grobman WA, Bailit JL, Rice MM. , et al; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units (MFMU) Network. Frequency of and factors associated with severe maternal morbidity. Obstet Gynecol 2014; 123 (04) 804-810
- 11 Raith EP, Udy AA, Bailey M. , et al; Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcomes and Resource Evaluation (CORE). Prognostic accuracy of the SOFA score, SIRS criteria, and qSOFA score for in-hospital mortality among adults with suspected infection admitted to the intensive care unit. JAMA 2017; 317 (03) 290-300
- 12 Antman EM, Cohen M, Bernink PJ. , et al. The TIMI risk score for unstable angina/non-ST elevation MI: a method for prognostication and therapeutic decision making. JAMA 2000; 284 (07) 835-842
- 13 Liu L, Tuuli MG, Roehl KA, Odibo AO, Macones GA, Cahill AG. Electronic fetal monitoring patterns associated with respiratory morbidity in term neonates. Am J Obstet Gynecol 2015; 213 (05) 681.e1-681.e6
- 14 American College of Obstetricians and Gynecologists. Task Force on Hypertension in Pregnancy. Hypertension in Pregnancy. Washington, DC: American College of Obstetricians and Gynecologists; 2013
- 15 Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 2003; 26 (Suppl. 01) S5-S20
- 16 Spain JE, Tuuli MG, Macones GA, Roehl KA, Odibo AO, Cahill AG. Risk factors for serious morbidity in term nonanomalous neonates. Am J Obstet Gynecol 2015; 212 (06) 799.e1-799.e7
- 17 Poobalan AS, Aucott LS, Gurung T, Smith WC, Bhattacharya S. Obesity as an independent risk factor for elective and emergency caesarean delivery in nulliparous women--systematic review and meta-analysis of cohort studies. Obes Rev 2009; 10 (01) 28-35
- 18 McDonald SD, Han Z, Mulla S, Beyene J. ; Knowledge Synthesis Group. Overweight and obesity in mothers and risk of preterm birth and low birth weight infants: systematic review and meta-analyses. BMJ 2010; 341: c3428
- 19 Ehrenberg HM, Dierker L, Milluzzi C, Mercer BM. Prevalence of maternal obesity in an urban center. Am J Obstet Gynecol 2002; 187 (05) 1189-1193
- 20 O'Brien TE, Ray JG, Chan WS. Maternal body mass index and the risk of preeclampsia: a systematic overview. Epidemiology 2003; 14 (03) 368-374
- 21 Kim SS, Zhu Y, Grantz KL. , et al. Obstetric and neonatal risks among obese women without chronic disease. Obstet Gynecol 2016; 128 (01) 104-112
- 22 Silver RM, Landon MB, Rouse DJ. , et al; National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. Maternal morbidity associated with multiple repeat cesarean deliveries. Obstet Gynecol 2006; 107 (06) 1226-1232
- 23 Cnattingius S, Forman MR, Berendes HW, Graubard BI, Isotalo L. Effect of age, parity, and smoking on pregnancy outcome: a population-based study. Am J Obstet Gynecol 1993; 168 (1 Pt 1): 16-21
- 24 Raymond EG, Mills JL. Placental abruption. Maternal risk factors and associated fetal conditions. Acta Obstet Gynecol Scand 1993; 72 (08) 633-639
- 25 Hadley CB, Main DM, Gabbe SG. Risk factors for preterm premature rupture of the fetal membranes. Am J Perinatol 1990; 7 (04) 374-379
- 26 Laughon SK, Berghella V, Reddy UM, Sundaram R, Lu Z, Hoffman MK. Neonatal and maternal outcomes with prolonged second stage of labor. Obstet Gynecol 2014; 124 (01) 57-67
- 27 Gimovsky AC, Berghella V. Randomized controlled trial of prolonged second stage: extending the time limit vs usual guidelines. Am J Obstet Gynecol 2016; 214 (03) 361.e1-361.e6
- 28 Stephansson O, Sandström A, Petersson G, Wikström AK, Cnattingius S. Prolonged second stage of labour, maternal infectious disease, urinary retention and other complications in the early postpartum period. BJOG 2016; 123 (04) 608-616