Risk factors for postpartum readmission for preeclampsia or hypertension before delivery discharge among low-risk women: a case-control study

被引:35
作者
Stamilio, David M. [1 ]
Beckham, A. Jenna [2 ]
Boggess, Kim A. [3 ]
Jelovsek, J. Eric [4 ]
Venkatesh, Kartik K. [5 ]
机构
[1] Wake Forest Univ, Dept Obstet & Gynecol, Div Maternal Fetal Med, Winston Salem, NC USA
[2] Dept Obstet & Gynecol, WakeMed Raleigh Campus, Raleigh, NC USA
[3] Univ N Carolina, Div Maternal Fetal Med, Dept Obstet & Gynecol, Chapel Hill, NC 27515 USA
[4] Duke Univ, Dept Obstet & Gynecol, Durham, NC USA
[5] Ohio State Univ, Dept Obstet & Gynecol, Div Maternal Fetal Med, Columbus, OH 43210 USA
基金
美国国家卫生研究院;
关键词
hypertension; postpartum readmission; preeclampsia; risk factors; UNITED-STATES; PREGNANCY; MORTALITY; MORBIDITY; ECLAMPSIA;
D O I
10.1016/j.ajogmf.2021.100317
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
BACKGROUND: Postpartum hypertension or preeclampsia is one of the most frequent reasons for readmission after delivery discharge, and risk factors for readmission remain poorly characterized. OBJECTIVE: This study aimed to determine risk factors of postpartum readmission for hypertension or preeclampsia among low-risk women before delivery discharge. STUDY DESIGN: We conducted a nested case-control study from 2012 to 2015 at a tertiary care medical center. Cases were identified using diagnostic codes for postpartum transient hypertension, mild preeclampsia, severe preeclampsia, eclampsia, superimposed preeclampsia, and unspecified hypertension and readmission within 6 weeks of delivery. Controls not readmitted for hypertension or preeclampsia were time matched within 4 weeks of the delivery date to each case. We fit multivariable logistic regression models to identify independent risk factors for postpartum readmission for hypertension or preeclampsia and then calculated a receiver operating characteristic curve of the final model to assess model discrimination. RESULTS: Within the source cohort resulting in 58 cases and 232 matched controls, the rate of postpartum readmission for preeclampsia or hypertension was 0.4% (n=58 of 14,503). The median time to readmission was 6 days (range, 2-15 days), and 40% of cases had an outpatient postpartum visit before readmission. In multivariable analysis, non-Hispanic black race (adjusted odds ratio, 2.14; 95% confidence interval, 0.99-4.59), gestational hypertension (adjusted odds ratio, 2.70; 95% confidence interval, 1.12-6.54), preeclampsia during delivery admission (adjusted odds ratio, 3.12; 95% confidence interval, 1.29-7.50), and maximum postpartum systolic blood pressure during delivery admission (adjusted odds ratio, 1.05; 95% confidence interval, 1.03-1.08) were risk factors for readmission. This model had a good discriminative ability to predict women who would require readmission for preeclampsia or hypertension (area under the curve, 0.83; 95% confidence interval, 0.74-0.89). Using these 4 factors to illustrate this model, the predicted risk of readmission ranged from <1% in the lowest risk scenario (eg, postpartum systolic blood pressure of 120 mm Hg + no hypertensive disorders of pregnancy + white race) to 26% in the highest risk scenario (eg, postpartum systolic blood pressure of 160 mm Hg + preeclampsia + black race). CONCLUSION: Risk factors of postpartum readmission for hypertension or preeclampsia can be identified at the time of delivery discharge among low-risk women, regardless of an antenatal hypertensive disorder. A next step could be using these risk factors to develop a predictive model to guide postpartum care.
引用
收藏
页数:6
相关论文
共 22 条
[1]   Delayed Postpartum Preeclampsia and Eclampsia Demographics, Clinical Course, and Complications [J].
Al-Safi, Zain ;
Imudia, Anthony N. ;
Filetti, Lusia C. ;
Hobson, Deslyn T. ;
Bahado-Singh, Ray O. ;
Awonuga, Awoniyi O. .
OBSTETRICS AND GYNECOLOGY, 2011, 118 (05) :1102-1107
[2]  
[Anonymous], 2020, Obstet Gynecol, V135, P1492, DOI [10.1097/AOG.0000000000003018, 10.1097/AOG.0000000000003892]
[3]   Risk factors for new-onset late postpartum preeclampsia in women without a history of preeclampsia [J].
Bigelow, Catherine A. ;
Pereira, Guilherme A. ;
Warmsley, Amber ;
Cohen, Jennifer ;
Getrajdman, Chloe ;
Moshier, Erin ;
Paris, Julia ;
Bianco, Angela ;
Factor, Stephanie H. ;
Stone, Joanne .
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2014, 210 (04) :338.e1-338.e8
[4]  
Callaghan WM, 2012, OBSTET GYNECOL, V120, P1029, DOI [10.1097/AOG.0b013e31826d60c5, http://10.1097/AOG.0b013e31826d60c5]
[5]   Late postpartum eclampsia: A preventable disease? [J].
Chames, MC ;
Livingston, JC ;
Ivester, TS ;
Barton, JR ;
Sibai, BM .
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2002, 186 (06) :1174-1177
[6]   How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies [J].
Chen, Henian ;
Cohen, Patricia ;
Chen, Sophie .
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2010, 39 (04) :860-864
[7]   A multi-state analysis of postpartum readmissions in the United States [J].
Clapp, Mark A. ;
Little, Sarah E. ;
Zheng, Jie ;
Robinson, Julian N. .
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2016, 215 (01)
[8]   Blood pressure changes during the first stage of labor and for the prediction of early postpartum preeclampsia: a prospective study [J].
Cohen, Jonathan ;
Vaiman, Daniel ;
Sibai, Baha M. ;
Haddad, Bassam .
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY, 2015, 184 :103-107
[9]   Pregnancy-Related Mortality in the United States, 2011-2013 [J].
Creanga, Andreea A. ;
Syverson, Carla ;
Seed, Kristi ;
Callaghan, William M. .
OBSTETRICS AND GYNECOLOGY, 2017, 130 (02) :366-373
[10]   Maternal Mortality and Morbidity in the United States: Where Are We Now? [J].
Creanga, Andreea A. ;
Berg, Cynthia J. ;
Ko, Jean Y. ;
Farr, Sherry L. ;
Tong, Van T. ;
Bruce, F. Carol ;
Callaghan, William M. .
JOURNAL OF WOMENS HEALTH, 2014, 23 (01) :3-9