Am J Perinatol 2021; 38(11): 1192-1200
DOI: 10.1055/s-0040-1712166
Original Article

Validation of Postpartum Hemorrhage Admission Risk Factor Stratification in a Large Obstetrics Population

Halley Ruppel
1   Division of Research, Kaiser Permanente Northern California, Oakland, California
,
Vincent X. Liu
1   Division of Research, Kaiser Permanente Northern California, Oakland, California
,
Neeru R. Gupta
2   Department of Obstetrics and Gynecology, Kaiser Permanente Medical Center, San Francisco, California
,
Lauren Soltesz
1   Division of Research, Kaiser Permanente Northern California, Oakland, California
,
Gabriel J. Escobar
1   Division of Research, Kaiser Permanente Northern California, Oakland, California
› Author Affiliations
Funding This work was supported by The Permanente Medical Group, Inc., and Kaiser Foundation Hospitals, Inc.

Abstract

Objective This study aimed to evaluate the performance of the California Maternal Quality Care Collaborative (CMQCC) admission risk criteria for stratifying postpartum hemorrhage risk in a large obstetrics population.

Study Design Using detailed electronic health record data, we classified 261,964 delivery hospitalizations from Kaiser Permanente Northern California hospitals between 2010 and 2017 into high-, medium-, and low-risk groups based on CMQCC criteria. We used logistic regression to assess associations between CMQCC risk groups and postpartum hemorrhage using two different postpartum hemorrhage definitions, standard postpartum hemorrhage (blood loss ≥1,000 mL) and severe postpartum hemorrhage (based on transfusion, laboratory, and blood loss data). Among the low-risk group, we also evaluated associations between additional present-on-admission factors and severe postpartum hemorrhage.

Results Using the standard definition, postpartum hemorrhage occurred in approximately 5% of hospitalizations (n = 13,479), with a rate of 3.2, 10.5, and 10.2% in the low-, medium-, and high-risk groups. Severe postpartum hemorrhage occurred in 824 hospitalizations (0.3%), with a rate of 0.2, 0.5, and 1.3% in the low-, medium-, and high-risk groups. For either definition, the odds of postpartum hemorrhage were significantly higher in medium- and high-risk groups compared with the low-risk group. Over 40% of postpartum hemorrhages occurred in hospitalizations that were classified as low risk. Among the low-risk group, risk factors including hypertension and diabetes were associated with higher odds of severe postpartum hemorrhage.

Conclusion We found that the CMQCC admission risk assessment criteria stratified women by increasing rates of severe postpartum hemorrhage in our sample, which enables early preparation for many postpartum hemorrhages. However, the CMQCC risk factors missed a substantial proportion of postpartum hemorrhages. Efforts to improve postpartum hemorrhage risk assessment using present-on-admission risk factors should consider inclusion of other nonobstetrical factors.

Note

Some results of this work were presented at a poster session at the Academy Health Annual Research Meeting, June 2 to 4, 2019 in Washington, DC.


Supplementary Material



Publication History

Received: 18 October 2019

Accepted: 13 April 2020

Article published online:
26 May 2020

© 2020. Thieme. All rights reserved.

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  • References

  • 1 Bateman BT, Berman MF, Riley LE, Leffert LR. The epidemiology of postpartum hemorrhage in a large, nationwide sample of deliveries. Anesth Analg 2010; 110 (05) 1368-1373
  • 2 Kramer MS, Berg C, Abenhaim H. et al. Incidence, risk factors, and temporal trends in severe postpartum hemorrhage. Am J Obstet Gynecol 2013; 209 (05) 449.e1-449.e7
  • 3 Knight M, Callaghan WM, Berg C. et al. Trends in postpartum hemorrhage in high resource countries: a review and recommendations from the International Postpartum Hemorrhage Collaborative Group. BMC Pregnancy Childbirth 2009; 9: 55
  • 4 Kuklina EV, Meikle SF, Jamieson DJ. et al. Severe obstetric morbidity in the United States: 1998-2005. Obstet Gynecol 2009; 113 (2, Pt 1): 293-299
  • 5 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
  • 6 Callaghan WM, Kuklina EV, Berg CJ. Trends in postpartum hemorrhage: United States, 1994-2006. Am J Obstet Gynecol 2010; 202 (04) 353.e1-353.e6
  • 7 Marshall AL, Durani U, Bartley A. et al. The impact of postpartum hemorrhage on hospital length of stay and inpatient mortality: a National Inpatient Sample-based analysis. Am J Obstet Gynecol 2017; 217 (03) 344.e1-344.e6
  • 8 Petersen EE, Davis NL, Goodman D. et al. Vital signs: pregnancy-related deaths, United States, 2011–2015, and strategies for prevention, 13 states, 2013–2017. MMWR Morb Mortal Wkly Rep 2019; 68 (18) 423-429
  • 9 Main EK, McCain CL, Morton CH, Holtby S, Lawton ES. Pregnancy-related mortality in California: causes, characteristics, and improvement opportunities. Obstet Gynecol 2015; 125 (04) 938-947
  • 10 Berg CJ, Harper MA, Atkinson SM. et al. Preventability of pregnancy-related deaths: results of a state-wide review. Obstet Gynecol 2005; 106 (06) 1228-1234
  • 11 Lyndon A, Lagrew D, Shields L, Main E, Cape V, eds. Improving Health Care Response to Obstetric Hemorrhage. (California Maternal Quality Care Collaborative Toolkit to Transform Maternity Care) Developed under contract #11-10006 with the California Department of Public Health; Maternal, Child and Adolescent Health Division. 2015; California Maternal Quality Care
  • 12 Committee on Practice Bulletins-Obstetrics. Practice bulletin no. 183: postpartum hemorrhage. Obstet Gynecol 2017; 130 (04) e168-e186
  • 13 Dilla AJ, Waters JH, Yazer MH. Clinical validation of risk stratification criteria for peripartum hemorrhage. Obstet Gynecol 2013; 122 (01) 120-126
  • 14 Escobar GJ, Gupta NR, Walsh EM, Soltesz L, Terry SM, Kipnis P. Automated early detection of obstetric complications: theoretic and methodologic considerations. Am J Obstet Gynecol 2019; 220 (04) 297-307
  • 15 Kerr RS, Weeks AD. Postpartum haemorrhage: a single definition is no longer enough. BJOG 2017; 124 (05) 723-726
  • 16 Menard MK, Main EK, Currigan SM. Executive summary of the reVITALize initiative: standardizing obstetric data definitions. Obstet Gynecol 2014; 124 (01) 150-153
  • 17 Escobar GJ, Greene JD, Scheirer P, Gardner MN, Draper D, Kipnis P. Risk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases. Med Care 2008; 46 (03) 232-239
  • 18 Escobar GJ, Gardner MN, Greene JD, Draper D, Kipnis P. Risk-adjusting hospital mortality using a comprehensive electronic record in an integrated health care delivery system. Med Care 2013; 51 (05) 446-453
  • 19 van Walraven C, Escobar GJ, Greene JD, Forster AJ. The Kaiser Permanente inpatient risk adjustment methodology was valid in an external patient population. J Clin Epidemiol 2010; 63 (07) 798-803
  • 20 Combs CA, Murphy EL, Laros Jr RK. Factors associated with hemorrhage in cesarean deliveries. Obstet Gynecol 1991; 77 (01) 77-82
  • 21 Combs CA, Murphy EL, Laros Jr RK. Factors associated with postpartum hemorrhage with vaginal birth. Obstet Gynecol 1991; 77 (01) 69-76
  • 22 Bai J, Wong FW, Bauman A, Mohsin M. Parity and pregnancy outcomes. Am J Obstet Gynecol 2002; 186 (02) 274-278
  • 23 Al-Zirqi I, Vangen S, Forsen L, Stray-Pedersen B. Prevalence and risk factors of severe obstetric haemorrhage. BJOG 2008; 115 (10) 1265-1272
  • 24 Kawakita T, Mokhtari N, Huang JC, Landy HJ. Evaluation of risk-assessment tools for severe postpartum hemorrhage in women undergoing cesarean delivery. Obstet Gynecol 2019; 134 (06) 1308-1316
  • 25 Einerson BD, Stehlikova Z, Nelson RE, Bellows BK, Kawamoto K, Clark EAS. Transfusion preparedness strategies for obstetric hemorrhage: a cost-effectiveness analysis. Obstet Gynecol 2017; 130 (06) 1347-1355
  • 26 Goodnough LT, Daniels K, Wong AE, Viele M, Fontaine MF, Butwick AJ. How we treat: transfusion medicine support of obstetric services. Transfusion 2011; 51 (12) 2540-2548
  • 27 Metcalfe A, Sabr Y, Hutcheon JA. et al. Trends in obstetric intervention and pregnancy outcomes of Canadian women with diabetes in pregnancy from 2004 to 2015. J Endocr Soc 2017; 1 (12) 1540-1549
  • 28 Bramham K, Parnell B, Nelson-Piercy C, Seed PT, Poston L, Chappell LC. Chronic hypertension and pregnancy outcomes: systematic review and meta-analysis. BMJ 2014; 348: g2301
  • 29 Albrecht SS, Kuklina EV, Bansil P. et al. Diabetes trends among delivery hospitalizations in the U.S., 1994-2004. Diabetes Care 2010; 33 (04) 768-773
  • 30 Bateman BT, Mhyre JM, Hernandez-Diaz S. et al. Development of a comorbidity index for use in obstetric patients. Obstet Gynecol 2013; 122 (05) 957-965
  • 31 Metcalfe A, Lix LM, Johnson JA. et al. Validation of an obstetric comorbidity index in an external population. BJOG 2015; 122 (13) 1748-1755
  • 32 Rath WH. Postpartum hemorrhage--update on problems of definitions and diagnosis. Acta Obstet Gynecol Scand 2011; 90 (05) 421-428
  • 33 Dahlke JD, Mendez-Figueroa H, Maggio L. et al. Prevention and management of postpartum hemorrhage: a comparison of 4 national guidelines. Am J Obstet Gynecol 2015; 213 (01) 76.e1-76.e10
  • 34 Schorn MN. Measurement of blood loss: review of the literature. J Midwifery Womens Health 2010; 55 (01) 20-27
  • 35 Butwick AJ, Walsh EM, Kuzniewicz M, Li SX, Escobar GJ. Patterns and predictors of severe postpartum anemia after Cesarean section. Transfusion 2017; 57 (01) 36-44
  • 36 MacDorman MF, Declercq E, Cabral H, Morton C. Recent increases in the U.S. maternal mortality rate: disentangling trends from measurement issues. Obstet Gynecol 2016; 128 (03) 447-455
  • 37 Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final Data for 2017. Accessed April 24, 2020 at: https://www.cdc.gov/nchs/data/nvsr/nvsr67/nvsr67_08-508.pdf