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Original Research| Volume 3, ISSUE 5, 100416, September 2021

Correlation between hemorrhage risk prediction score and severe maternal morbidity

  • Jaclyn M. Phillips
    Correspondence
    Corresponding author: Jaclyn M. Phillips, MD.
    Affiliations
    Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh Medical Center Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA (Drs Phillips, Hacker, Lemon, and Simhan)
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  • Francis Hacker
    Affiliations
    Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh Medical Center Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA (Drs Phillips, Hacker, Lemon, and Simhan)
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  • Lara Lemon
    Affiliations
    Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh Medical Center Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA (Drs Phillips, Hacker, Lemon, and Simhan)

    Department of Clinical Analytics, University of Pittsburgh Medical Center, Pittsburgh, PA (Dr Lemon)
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  • Hyagriv N. Simhan
    Affiliations
    Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh Medical Center Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA (Drs Phillips, Hacker, Lemon, and Simhan)
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      BACKGROUND

      Obstetrical hemorrhage is a leading cause of severe maternal morbidity, a key indicator of a nation's healthcare delivery system and often associated with a high rate of preventability. Limited data suggest that a patient's hemorrhage risk score may be associated with risk for maternal morbidity such as severe hemorrhage, intensive care unit admission, or transfusion. Little is known regarding the relationship between hemorrhage risk score and nontransfusion-related morbidity.

      OBJECTIVE

      We sought to evaluate the association between a patient's California Maternal Quality Care Collaborative admission hemorrhage risk score and severe maternal morbidity.

      STUDY DESIGN

      This was a retrospective cohort of delivery admissions from 2018 to 2019 in a single healthcare network. Admission risk scores were assigned to each patient using the California Maternal Quality Care Collaborative criteria. Rates of transfusion- and nontransfusion-associated severe maternal morbidity were compared across low-, medium-, and high-risk strata. We defined severe maternal morbidity as the presence of any International Classification of Diseases diagnosis or procedure codes outlined by the Centers for Disease Control and Prevention, need for intensive care unit admission, or prolonged postpartum hospital length of stay. A multivariable logistic regression was used to assess the association between hemorrhage risk score and severe maternal morbidity.

      RESULTS

      In the overall cohort, severe maternal morbidity occurred in 2.4% (n=517) of all deliveries. Excluding cases requiring transfusion, 0.6% (n=131) of cases still had a severe maternal morbidity event. The incidence of severe maternal morbidity was 1.6% (n=264) in patients categorized as low risk for hemorrhage compared with 2.5% (n=118) and 13.6% (n=135) in patients who were categorized as medium or high risk for hemorrhage, respectively (P<.001). Patients classified as high risk had a significant association with both severe maternal morbidity (adjusted odds ratio, 8.8; 95% confidence interval, 7.0–11) and nontransfusion-associated severe maternal morbidity (adjusted odds ratio, 3.6; 95% confidence interval, 2.2–5.9).

      CONCLUSION

      In addition to predicting the risk for obstetrical hemorrhage and transfusion, our findings indicate that the California Maternal Quality Care Collaborative admission hemorrhage risk tool predicts risk for transfusion- and nontransfusion-associated severe maternal morbidity. Our findings imply that despite awareness and the identification of patients at high risk for obstetrical hemorrhage on admission, significant hemorrhage-associated morbidity persisted. Our data indicate that the identification of risk alone may be insufficient to reduce morbidity and imply that further work is needed to investigate and implement new practices in response to a patient's score stratum.

      Key words

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      References

        • Callaghan WM
        • Grobman WA
        • Kilpatrick SJ
        • Main EK
        • D'Alton M
        Facility-based identification of women with severe maternal morbidity: it is time to start.
        Obstet Gynecol. 2014; 123: 978-981
        • Bateman BT
        • Berman MF
        • Riley LE
        • Leffert LR
        The epidemiology of postpartum hemorrhage in a large, nationwide sample of deliveries.
        Anesth Analg. 2010; 110: 1368-1373
        • Rocha Filho EA
        • Costa ML
        • Cecatti JG
        • et al.
        Severe maternal morbidity and near miss due to postpartum hemorrhage in a national multicenter surveillance study.
        Int J Gynaecol Obstet. 2015; 128: 131-136
      1. Centers for Disease Control and Prevention. Severe maternal morbidity in the United States. 2020. Available at: https://www.cdc.gov/reproductivehealth/maternalinfanthealth/severematernalmorbidity.html. Accessed April 1, 2020.

        • Reale SC
        • Easter SR
        • Xu X
        • Bateman BT
        • Farber MK
        Trends in postpartum hemorrhage in the United States from 2010 to 2014.
        Anesth Analg. 2020; 130: e119-e122
        • Geller SE
        • Koch AR
        • Garland CE
        • MacDonald EJ
        • Storey F
        • Lawton B
        A global view of severe maternal morbidity: moving beyond maternal mortality.
        Reprod Health. 2018; 15: 98
      2. Obstetric care Consensus No. 5: severe maternal morbidity: screening and review.
        Obstet Gynecol. 2016; 128: e54-e60
        • Lawton B
        • MacDonald EJ
        • Brown SA
        • et al.
        Preventability of severe acute maternal morbidity.
        Am J Obstet Gynecol. 2014; 210 (557.e1–6)
        • Geller SE
        • Cox SM
        • Kilpatrick SJ
        A descriptive model of preventability in maternal morbidity and mortality.
        J Perinatol. 2006; 26: 79-84
        • Geller SE
        • Adams MG
        • Kominiarek MA
        • et al.
        Reliability of a preventability model in maternal death and morbidity.
        Am J Obstet Gynecol. 2007; 196 (57.e1–6)
        • Ozimek JA
        • Eddins RM
        • Greene N
        • et al.
        Opportunities for improvement in care among women with severe maternal morbidity.
        Am J Obstet Gynecol. 2016; 215 (509.e1–6)
        • Kilpatrick SJ
        • Prentice P
        • Jones RL
        • Geller S
        Reducing maternal deaths through state maternal mortality review.
        J Womens Health (Larchmt). 2012; 21: 905-909
      3. Gabel K, Lydon A, Main EK, CMQCC. Obstetric hemorrhage tool kit: risk factor assessment. California Department of Health. Version 2.0; 2015.

        • Ahmadzia HK
        • Phillips JM
        • Kleiman R
        • et al.
        Hemorrhage risk assessment on admission: utility for prediction of maternal morbidity.
        Am J Perinatol. 2020; ([Epub ahead of print])
        • Main EK
        • Dhurjati R
        • Cape V
        • et al.
        Improving maternal safety at scale with the mentor model of collaborative improvement.
        Jt Comm J Qual Patient Saf. 2018; 44: 250-259
        • Ruppel H
        • Liu VX
        • Gupta NR
        • Soltesz L
        • Escobar GJ
        Validation of postpartum hemorrhage admission risk factor stratification in a large obstetrics population.
        Am J Perinatol. 2020; ([Epub ahead of print])
        • Committee on Practice Bulletins-Obstetrics
        Practice Bulletin No. 183: postpartum hemorrhage.
        Obstet Gynecol. 2017; 130: e168-e186
        • Main EK
        • Abreo A
        • McNulty J
        • et al.
        Measuring severe maternal morbidity: validation of potential measures.
        Am J Obstet Gynecol. 2016; 214 (643.e1–10)
        • Callaghan WM
        • MacKay AP
        • Berg CJ
        Identification of severe maternal morbidity during delivery hospitalizations, United States, 1991-2003.
        Am J Obstet Gynecol. 2008; 199 (133.e1–8)
        • Callaghan WM
        • Creanga AA
        • Kuklina EV
        Severe maternal morbidity among delivery and postpartum hospitalizations in the United States.
        Obstet Gynecol. 2012; 120: 1029-1036
        • Kuklina EV
        • Meikle SF
        • Jamieson DJ
        • et al.
        Severe obstetric morbidity in the United States: 1998-2005.
        Obstet Gynecol. 2009; 113: 293-299
        • StataCorp
        Stata statistical software: release 16.
        StataCorp LLC, College Station, TX2019
        • 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: 1308-1316
        • Geller SE
        • Rosenberg D
        • Cox S
        • Brown M
        • Simonson L
        • Kilpatrick S
        A scoring system identified near-miss maternal morbidity during pregnancy.
        J Clin Epidemiol. 2004; 57: 716-720
        • Freese KE
        • Bodnar LM
        • Brooks MM
        • McTigue K
        • Himes KP
        Population-attributable fraction of risk factors for severe maternal morbidity.
        Am J Obstet Gynecol MFM. 2020; 2100066
        • You WB
        • Chandrasekaran S
        • Sullivan J
        • Grobman W
        Validation of a scoring system to identify women with near-miss maternal morbidity.
        Am J Perinatol. 2013; 30: 21-24
        • Kilpatrick SJ
        • Abreo A
        • Gould J
        • Greene N
        • Main EK
        Confirmed severe maternal morbidity is associated with high rate of preterm delivery.
        Am J Obstet Gynecol. 2016; 215 (233.e1–7)
        • Centers for Disease Control and Prevention
        Pregnancy mortality surveillance system.
        2020 (Available at:)
        • Himes KP
        • Bodnar LM
        Validation of criteria to identify severe maternal morbidity.
        Paediatr Perinat Epidemiol. 2020; 34: 408-415
        • Hacker FM
        • Phillips JM
        • Lemon L
        • Simhan H
        816 Comparative analysis of obstetric hemorrhage risk prediction tools.
        Am J Obstet Gynecol. 2021; 224: S508